From 386626bd93e7f17253a94c25d49b0dd45c8a5665 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Mon, 6 Jun 2022 11:05:42 +0530 Subject: [PATCH 01/35] Add files via upload 200526_Assignment1 OpenCV ICG --- 200526_Kshitij_OpenCV_Assignment1.ipynb | 322 ++++++++++++++++++++++++ 1 file changed, 322 insertions(+) create mode 100644 200526_Kshitij_OpenCV_Assignment1.ipynb diff --git a/200526_Kshitij_OpenCV_Assignment1.ipynb b/200526_Kshitij_OpenCV_Assignment1.ipynb new file mode 100644 index 0000000..76f165a --- /dev/null +++ b/200526_Kshitij_OpenCV_Assignment1.ipynb @@ -0,0 +1,322 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "Copy of CV with TF: Assignment 1.ipynb", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "### **Aim** \n", + "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." + ], + "metadata": { + "id": "RB2d1J1f1CF7" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Generating the dataset \n", + "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" + ], + "metadata": { + "id": "a_S80lf6H4Xv" + } + }, + { + "cell_type": "code", + "source": [ + "from sklearn import datasets\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# Generating the data\n", + "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", + "\n", + "# Splitting the data\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" + ], + "metadata": { + "id": "yX0zqXcHIQHP" + }, + "execution_count": 67, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Visualizing the data \n", + "Use `matplotlib` to visualize the given data." + ], + "metadata": { + "id": "Zj4rrRXGJBXy" + } + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "#Plotting X against y\n", + "plt.plot(X,y)\n", + "plt.show()\n" + ], + "metadata": { + "id": "zxfi8dkBJOUi", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 265 + }, + "outputId": "27c0e1d1-bf57-45f6-c749-c83fa2290e90" + }, + "execution_count": 68, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "You should be able to see the linear relations between `y` and the features in vector `X`." + ], + "metadata": { + "id": "r7vndSBAJceF" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Gradient Descent Review \n", + "1. #### Cost function\n", + "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", + "\n", + "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", + "\n", + " where `N` is the number of samples \n", + " \n", + "\n", + "\n", + "2. #### Compute the derivative\n", + "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", + "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", + "3.

Update current parameters

\n", + "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", + "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", + "4.

Repeat until it fits good enough

\n" + ], + "metadata": { + "id": "b4I9Z3epNvBM" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Model definition\n", + "\n", + "Complete the functions in the class below. Hints provided at appropriate places." + ], + "metadata": { + "id": "kBtUcOVnJu-I" + } + }, + { + "cell_type": "code", + "source": [ + "import numpy as np\n", + "\n", + "class LinearRegression:\n", + "\n", + " # The __init__ is called when we make any object of our class. Here, we specify the default values for \n", + " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", + " def __init__(self, learning_rate=0.001, n_iters=1000):\n", + " \n", + " self.learning_rate=learning_rate\n", + " self.n_iters=n_iters\n", + " self.weights=None\n", + " self.bias=None\n", + "\n", + "\n", + " # Optimization technique using the gradient descent model \n", + " def fit(self, X, y):\n", + " \n", + " # Assigning the values for the number of samples and number of features\n", + " n_samples,n_features=X.shape\n", + "\n", + " self.weights=np.zeros(n_features)\n", + " self.bias=0\n", + " \n", + " for i in range(self.n_iters):\n", + " y_predict=self.predict(X) #the predicted value for y\n", + " dw=-(2/n_samples)*np.dot((X.T),(y-y_predict)) # Derivative of weights\n", + " db=-(2/n_samples)*np.sum(y-y_predict) # Derivative of bias\n", + " self.weights = self.weights-self.learning_rate*dw #Updating weights\n", + " self.bias = self.bias - self.learning_rate*db #Updating bias\n", + " \n", + " \n", + " # Prediction on unseen data\n", + " def predict(self, X):\n", + " return np.dot(X,self.weights)+self.bias\n", + "\n", + " " + ], + "metadata": { + "id": "dGnFNPJx3I28" + }, + "execution_count": 69, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Initializing, Training & Predictions" + ], + "metadata": { + "id": "EvyInkTKPn7W" + } + }, + { + "cell_type": "code", + "source": [ + "# Now, we make an object of our custom class.\n", + "regressor = LinearRegression() \n", + "regressor.fit(X_train,y_train) # Now we fit the model\n", + "\n", + "# Now, we se what our model predicts\n", + "predictions = regressor.predict(X_test)" + ], + "metadata": { + "id": "nvItUpAkHTiv" + }, + "execution_count": 70, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Evaluate the model \n", + "\n", + "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." + ], + "metadata": { + "id": "tzK6cq8eRD4Q" + } + }, + { + "cell_type": "code", + "source": [ + "def mean_squared_error(y_true, y_pred):\n", + " return np.mean((np.square(y_true-y_pred)))\n", + " \n", + "\n", + "def r2_score(y_true, y_pred):\n", + " corr_matrix = np.corrcoef(y_true, y_pred)\n", + " corr = corr_matrix[0,1]\n", + " R_sq = corr**2\n", + " return R_sq \n", + "\n", + "mse = mean_squared_error(y_test,predictions) \n", + "print(\"MSE:\", mse)\n", + "\n", + "accu = r2_score(y_test,predictions) \n", + "print(\"Accuracy:\", accu)" + ], + "metadata": { + "id": "WqkrvDzcRF5m", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "37f46253-0232-45e3-e1d1-a121eec61bd8" + }, + "execution_count": 71, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "MSE: 659.4416574156697\n", + "Accuracy: 0.9695609670736952\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Printing MSE and R2_score from sklearn library\n", + "from sklearn.metrics import r2_score\n", + "from sklearn.metrics import mean_squared_error\n", + "r2 = r2_score(y_test, predictions)\n", + "mse=mean_squared_error(y_test,predictions)\n", + "print(mse)\n", + "print(r2)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "MdhZlpq7Fznw", + "outputId": "bfda47f0-9435-4456-9599-fdac41ce41ca" + }, + "execution_count": 72, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "659.4416574156697\n", + "0.9376571817229341\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "#Predicted values vs Real values\n", + "print( \"Predicted values \", np.round( predictions[:3], 2 ) ) \n", + "print( \"Real values \", y_test[:3] )" + ], + "metadata": { + "id": "8W3e9O51Hnzo", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "e24f62ee-1f7b-4444-ff6a-663d6d225974" + }, + "execution_count": 73, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Predicted values [177.66 -90.77 72.49]\n", + "Real values [ 231.52987097 -127.73130463 82.03512178]\n" + ] + } + ] + } + ] +} \ No newline at end of file From 72718d41e9c545208e1783859eccd5c9f86f7a89 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Sat, 11 Jun 2022 00:27:30 +0530 Subject: [PATCH 02/35] Assignment_1_ 200526 --- Assignment 1/A1_200526.ipynb | 322 +++++++++++++++++++++++++++++++++++ 1 file changed, 322 insertions(+) create mode 100644 Assignment 1/A1_200526.ipynb diff --git a/Assignment 1/A1_200526.ipynb b/Assignment 1/A1_200526.ipynb new file mode 100644 index 0000000..76f165a --- /dev/null +++ b/Assignment 1/A1_200526.ipynb @@ -0,0 +1,322 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "Copy of CV with TF: Assignment 1.ipynb", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "### **Aim** \n", + "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." + ], + "metadata": { + "id": "RB2d1J1f1CF7" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Generating the dataset \n", + "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" + ], + "metadata": { + "id": "a_S80lf6H4Xv" + } + }, + { + "cell_type": "code", + "source": [ + "from sklearn import datasets\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# Generating the data\n", + "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", + "\n", + "# Splitting the data\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" + ], + "metadata": { + "id": "yX0zqXcHIQHP" + }, + "execution_count": 67, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Visualizing the data \n", + "Use `matplotlib` to visualize the given data." + ], + "metadata": { + "id": "Zj4rrRXGJBXy" + } + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "#Plotting X against y\n", + "plt.plot(X,y)\n", + "plt.show()\n" + ], + "metadata": { + "id": "zxfi8dkBJOUi", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 265 + }, + "outputId": "27c0e1d1-bf57-45f6-c749-c83fa2290e90" + }, + "execution_count": 68, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "You should be able to see the linear relations between `y` and the features in vector `X`." + ], + "metadata": { + "id": "r7vndSBAJceF" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Gradient Descent Review \n", + "1. #### Cost function\n", + "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", + "\n", + "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", + "\n", + " where `N` is the number of samples \n", + " \n", + "\n", + "\n", + "2. #### Compute the derivative\n", + "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", + "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", + "3.

Update current parameters

\n", + "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", + "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", + "4.

Repeat until it fits good enough

\n" + ], + "metadata": { + "id": "b4I9Z3epNvBM" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Model definition\n", + "\n", + "Complete the functions in the class below. Hints provided at appropriate places." + ], + "metadata": { + "id": "kBtUcOVnJu-I" + } + }, + { + "cell_type": "code", + "source": [ + "import numpy as np\n", + "\n", + "class LinearRegression:\n", + "\n", + " # The __init__ is called when we make any object of our class. Here, we specify the default values for \n", + " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", + " def __init__(self, learning_rate=0.001, n_iters=1000):\n", + " \n", + " self.learning_rate=learning_rate\n", + " self.n_iters=n_iters\n", + " self.weights=None\n", + " self.bias=None\n", + "\n", + "\n", + " # Optimization technique using the gradient descent model \n", + " def fit(self, X, y):\n", + " \n", + " # Assigning the values for the number of samples and number of features\n", + " n_samples,n_features=X.shape\n", + "\n", + " self.weights=np.zeros(n_features)\n", + " self.bias=0\n", + " \n", + " for i in range(self.n_iters):\n", + " y_predict=self.predict(X) #the predicted value for y\n", + " dw=-(2/n_samples)*np.dot((X.T),(y-y_predict)) # Derivative of weights\n", + " db=-(2/n_samples)*np.sum(y-y_predict) # Derivative of bias\n", + " self.weights = self.weights-self.learning_rate*dw #Updating weights\n", + " self.bias = self.bias - self.learning_rate*db #Updating bias\n", + " \n", + " \n", + " # Prediction on unseen data\n", + " def predict(self, X):\n", + " return np.dot(X,self.weights)+self.bias\n", + "\n", + " " + ], + "metadata": { + "id": "dGnFNPJx3I28" + }, + "execution_count": 69, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Initializing, Training & Predictions" + ], + "metadata": { + "id": "EvyInkTKPn7W" + } + }, + { + "cell_type": "code", + "source": [ + "# Now, we make an object of our custom class.\n", + "regressor = LinearRegression() \n", + "regressor.fit(X_train,y_train) # Now we fit the model\n", + "\n", + "# Now, we se what our model predicts\n", + "predictions = regressor.predict(X_test)" + ], + "metadata": { + "id": "nvItUpAkHTiv" + }, + "execution_count": 70, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Evaluate the model \n", + "\n", + "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." + ], + "metadata": { + "id": "tzK6cq8eRD4Q" + } + }, + { + "cell_type": "code", + "source": [ + "def mean_squared_error(y_true, y_pred):\n", + " return np.mean((np.square(y_true-y_pred)))\n", + " \n", + "\n", + "def r2_score(y_true, y_pred):\n", + " corr_matrix = np.corrcoef(y_true, y_pred)\n", + " corr = corr_matrix[0,1]\n", + " R_sq = corr**2\n", + " return R_sq \n", + "\n", + "mse = mean_squared_error(y_test,predictions) \n", + "print(\"MSE:\", mse)\n", + "\n", + "accu = r2_score(y_test,predictions) \n", + "print(\"Accuracy:\", accu)" + ], + "metadata": { + "id": "WqkrvDzcRF5m", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "37f46253-0232-45e3-e1d1-a121eec61bd8" + }, + "execution_count": 71, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "MSE: 659.4416574156697\n", + "Accuracy: 0.9695609670736952\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Printing MSE and R2_score from sklearn library\n", + "from sklearn.metrics import r2_score\n", + "from sklearn.metrics import mean_squared_error\n", + "r2 = r2_score(y_test, predictions)\n", + "mse=mean_squared_error(y_test,predictions)\n", + "print(mse)\n", + "print(r2)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "MdhZlpq7Fznw", + "outputId": "bfda47f0-9435-4456-9599-fdac41ce41ca" + }, + "execution_count": 72, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "659.4416574156697\n", + "0.9376571817229341\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "#Predicted values vs Real values\n", + "print( \"Predicted values \", np.round( predictions[:3], 2 ) ) \n", + "print( \"Real values \", y_test[:3] )" + ], + "metadata": { + "id": "8W3e9O51Hnzo", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "e24f62ee-1f7b-4444-ff6a-663d6d225974" + }, + "execution_count": 73, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Predicted values [177.66 -90.77 72.49]\n", + "Real values [ 231.52987097 -127.73130463 82.03512178]\n" + ] + } + ] + } + ] +} \ No newline at end of file From 66640fda1915248b5e7bda6f4e4584c8b29e8ad7 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Mon, 13 Jun 2022 15:17:24 +0530 Subject: [PATCH 03/35] Delete 200526_Kshitij_OpenCV_Assignment.ipynb --- 200526_Kshitij_OpenCV_Assignment1.ipynb | 322 ------------------------ 1 file changed, 322 deletions(-) delete mode 100644 200526_Kshitij_OpenCV_Assignment1.ipynb diff --git a/200526_Kshitij_OpenCV_Assignment1.ipynb b/200526_Kshitij_OpenCV_Assignment1.ipynb deleted file mode 100644 index 76f165a..0000000 --- a/200526_Kshitij_OpenCV_Assignment1.ipynb +++ /dev/null @@ -1,322 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generating the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Splitting the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 67, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "#Plotting X against y\n", - "plt.plot(X,y)\n", - "plt.show()\n" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "27c0e1d1-bf57-45f6-c749-c83fa2290e90" - }, - "execution_count": 68, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, we specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " \n", - " self.learning_rate=learning_rate\n", - " self.n_iters=n_iters\n", - " self.weights=None\n", - " self.bias=None\n", - "\n", - "\n", - " # Optimization technique using the gradient descent model \n", - " def fit(self, X, y):\n", - " \n", - " # Assigning the values for the number of samples and number of features\n", - " n_samples,n_features=X.shape\n", - "\n", - " self.weights=np.zeros(n_features)\n", - " self.bias=0\n", - " \n", - " for i in range(self.n_iters):\n", - " y_predict=self.predict(X) #the predicted value for y\n", - " dw=-(2/n_samples)*np.dot((X.T),(y-y_predict)) # Derivative of weights\n", - " db=-(2/n_samples)*np.sum(y-y_predict) # Derivative of bias\n", - " self.weights = self.weights-self.learning_rate*dw #Updating weights\n", - " self.bias = self.bias - self.learning_rate*db #Updating bias\n", - " \n", - " \n", - " # Prediction on unseen data\n", - " def predict(self, X):\n", - " return np.dot(X,self.weights)+self.bias\n", - "\n", - " " - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 69, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() \n", - "regressor.fit(X_train,y_train) # Now we fit the model\n", - "\n", - "# Now, we se what our model predicts\n", - "predictions = regressor.predict(X_test)" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 70, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " return np.mean((np.square(y_true-y_pred)))\n", - " \n", - "\n", - "def r2_score(y_true, y_pred):\n", - " corr_matrix = np.corrcoef(y_true, y_pred)\n", - " corr = corr_matrix[0,1]\n", - " R_sq = corr**2\n", - " return R_sq \n", - "\n", - "mse = mean_squared_error(y_test,predictions) \n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) \n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "37f46253-0232-45e3-e1d1-a121eec61bd8" - }, - "execution_count": 71, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 659.4416574156697\n", - "Accuracy: 0.9695609670736952\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Printing MSE and R2_score from sklearn library\n", - "from sklearn.metrics import r2_score\n", - "from sklearn.metrics import mean_squared_error\n", - "r2 = r2_score(y_test, predictions)\n", - "mse=mean_squared_error(y_test,predictions)\n", - "print(mse)\n", - "print(r2)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "MdhZlpq7Fznw", - "outputId": "bfda47f0-9435-4456-9599-fdac41ce41ca" - }, - "execution_count": 72, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "659.4416574156697\n", - "0.9376571817229341\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "#Predicted values vs Real values\n", - "print( \"Predicted values \", np.round( predictions[:3], 2 ) ) \n", - "print( \"Real values \", y_test[:3] )" - ], - "metadata": { - "id": "8W3e9O51Hnzo", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "e24f62ee-1f7b-4444-ff6a-663d6d225974" - }, - "execution_count": 73, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Predicted values [177.66 -90.77 72.49]\n", - "Real values [ 231.52987097 -127.73130463 82.03512178]\n" - ] - } - ] - } - ] -} \ No newline at end of file From 2eb982d5c407d7566dc4e97b30832fb8634c6226 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Tue, 14 Jun 2022 17:22:00 +0530 Subject: [PATCH 04/35] Assignment_2_200526 --- Assignment 2/A2_200526.ipynb | 1136 ++++++++++++++++++++++++++++++++++ 1 file changed, 1136 insertions(+) create mode 100644 Assignment 2/A2_200526.ipynb diff --git a/Assignment 2/A2_200526.ipynb b/Assignment 2/A2_200526.ipynb new file mode 100644 index 0000000..2ee93cd --- /dev/null +++ b/Assignment 2/A2_200526.ipynb @@ -0,0 +1,1136 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "A2_200526.ipynb", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Assigment 2: Deep Learning" + ], + "metadata": { + "id": "UxcaEbrCy1g_" + } + }, + { + "cell_type": "markdown", + "source": [ + "## Generate Dataset\n", + "\n", + "This is the same code from Assignment 1" + ], + "metadata": { + "id": "h2JON-_Oy79w" + } + }, + { + "cell_type": "code", + "execution_count": 326, + "metadata": { + "id": "hgpG3WDuypfa" + }, + "outputs": [], + "source": [ + "from sklearn import datasets\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# Generate the data\n", + "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", + "\n", + "# Split the data\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", + "X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=1)" + ] + }, + { + "cell_type": "code", + "source": [ + "print(X.shape) #number of features is 5" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "SOSJpwAabA9J", + "outputId": "866c68e7-d110-4f54-c22b-1da61537cdec" + }, + "execution_count": 327, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "(100, 5)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Visualize Dataset\n", + "This is the same code from Assignment 1" + ], + "metadata": { + "id": "r6it-Rm7zD1Y" + } + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plt.scatter(X[:,0],y)\n", + "# Your code here" + ], + "metadata": { + "id": "UautPVj1yzaQ", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + }, + "outputId": "01748ffa-4466-42dd-d54e-3b9f2e66869f" + }, + "execution_count": 328, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 328 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Model Definition\n", + "\n", + "Using TensorFlow, build a model with the following definition:\n", + "> Input of shape 5 \\\\\n", + "> Dense of shape 5 \\\\\n", + "> Dense of shape 5 \\\\\n", + "> Dense of shape 1 \\\\\n", + "\n", + "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", + "\n", + "Use Gradient Decay with appropriate parameters" + ], + "metadata": { + "id": "XMXb9lTyzGHE" + } + }, + { + "cell_type": "code", + "source": [ + "import tensorflow as tf\n", + "\n", + "# importing the sequential model\n", + "# A Sequential model is appropriate for a plain stack of layers where each layer has exactly one input tensor and one output tensor.\n", + "from tensorflow.keras import Sequential\n", + "from tensorflow.keras import Model\n", + "from tensorflow.keras.layers import Dense\n", + "\n", + "# importing the sequential model and adding dense layers\n", + "model = Sequential()\n", + "\n", + "# kernel_regularizer: Regularizer to apply a penalty on the layer's kernel\n", + "# Regularization basically adds the penalty as model complexity increases.\n", + "# Regularization parameter (lambda) penalizes all the parameters except intercept so that model generalizes the data and won’t overfit\n", + "model.add(Dense(5, activation='relu', input_shape=(5,), kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))#Adding regularization\n", + "model.add(Dense(5, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))#Adding regularization\n", + "model.add(Dense(1, kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))\n", + "\n", + "# Summary of our model\n", + "model.summary()\n", + "# class SGD: Gradient descent (with momentum) optimizer.\n", + "opt = tf.keras.optimizers.SGD(learning_rate=0.001) #Used Stochastic gradient descent with a learning rate of 0.001\n", + "# List of metrics to be evaluated by the model during training and testing. \n", + "# Each of this can be a string (name of a built-in function), function or a tf.keras.metrics.\n", + "model.compile(optimizer=opt,\n", + " loss='mse',\n", + " metrics=['mse'])\n", + "\n", + "#Keras provides the capability to register callbacks when training a deep learning model.\n", + "#One of the default callbacks that is registered when training all deep learning models is the History callback. \n", + "#It records training metrics for each epoch. This includes the loss and the accuracy (for classification problems) as well as the loss and accuracy for the validation dataset, if one is set.\n", + "#The history object is returned from calls to the fit() function used to train the model. Metrics are stored in a dictionary in the history member of the object returned\n", + "# We now fit our model\n", + "history = model.fit(X_train, y_train, epochs=100, validation_data=(X_val, y_val),shuffle=True)\n", + "\n", + "# Calculating loss and Mean Squared Error\n", + "loss,mse = model.evaluate(X_test, y_test, verbose=1)\n", + "print('MSE: %.3f' % mse)\n" + ], + "metadata": { + "id": "r32N1xK2ziOs", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "d4858654-c749-4d05-f2a0-f59140e5ebee" + }, + "execution_count": 333, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model: \"sequential_72\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " dense_276 (Dense) (None, 5) 30 \n", + " \n", + " dense_277 (Dense) (None, 5) 30 \n", + " \n", + " dense_278 (Dense) (None, 1) 6 \n", + " \n", + "=================================================================\n", + "Total params: 66\n", + "Trainable params: 66\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "Epoch 1/100\n", + "2/2 [==============================] - 1s 211ms/step - loss: 11418.4863 - mse: 11416.1514 - val_loss: 11797.5723 - val_mse: 11795.2266\n", + "Epoch 2/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 11381.4902 - mse: 11379.1396 - val_loss: 11764.4346 - val_mse: 11762.0537\n", + "Epoch 3/100\n", + "2/2 [==============================] - 0s 40ms/step - loss: 11319.5342 - mse: 11317.1299 - val_loss: 11701.9160 - val_mse: 11699.4424\n", + "Epoch 4/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 11193.3789 - mse: 11190.8477 - val_loss: 11538.7178 - val_mse: 11536.0410\n", + "Epoch 5/100\n", + "2/2 [==============================] - 0s 37ms/step - loss: 10837.9756 - mse: 10835.2168 - val_loss: 11054.7256 - val_mse: 11051.6855\n", + "Epoch 6/100\n", + "2/2 [==============================] - 0s 39ms/step - loss: 9768.2500 - mse: 9765.0059 - val_loss: 9452.3984 - val_mse: 9448.6250\n", + "Epoch 7/100\n", + "2/2 [==============================] - 0s 46ms/step - loss: 7204.6885 - mse: 7200.7031 - val_loss: 7531.0308 - val_mse: 7526.3203\n", + "Epoch 8/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 6138.2852 - mse: 6133.5791 - val_loss: 7015.1108 - val_mse: 7010.1724\n", + "Epoch 9/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 5675.4155 - mse: 5670.4131 - val_loss: 6443.2871 - val_mse: 6437.9004\n", + "Epoch 10/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 4924.8374 - mse: 4919.3262 - val_loss: 4873.3057 - val_mse: 4867.3457\n", + "Epoch 11/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 2901.7639 - mse: 2895.6304 - val_loss: 1563.1340 - val_mse: 1556.4912\n", + "Epoch 12/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 1196.4558 - mse: 1189.7477 - val_loss: 2004.8619 - val_mse: 1998.1603\n", + "Epoch 13/100\n", + "2/2 [==============================] - 0s 54ms/step - loss: 1184.0326 - mse: 1177.4739 - val_loss: 430.9583 - val_mse: 423.9537\n", + "Epoch 14/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 455.3690 - mse: 448.5584 - val_loss: 456.4833 - val_mse: 449.7288\n", + "Epoch 15/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 250.1012 - mse: 243.2438 - val_loss: 248.5868 - val_mse: 241.4736\n", + "Epoch 16/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 393.8589 - mse: 386.7563 - val_loss: 433.7584 - val_mse: 426.7287\n", + "Epoch 17/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 395.0141 - mse: 388.0737 - val_loss: 201.4567 - val_mse: 194.3307\n", + "Epoch 18/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 169.5228 - mse: 162.4305 - val_loss: 237.4022 - val_mse: 230.0564\n", + "Epoch 19/100\n", + "2/2 [==============================] - 0s 44ms/step - loss: 384.4366 - mse: 377.2687 - val_loss: 251.0471 - val_mse: 243.8818\n", + "Epoch 20/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 251.6811 - mse: 244.5088 - val_loss: 234.2657 - val_mse: 227.0899\n", + "Epoch 21/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 193.9461 - mse: 186.7588 - val_loss: 193.9609 - val_mse: 186.6841\n", + "Epoch 22/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 168.8264 - mse: 161.6039 - val_loss: 131.7841 - val_mse: 124.4096\n", + "Epoch 23/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 112.2750 - mse: 104.9716 - val_loss: 123.3595 - val_mse: 116.0363\n", + "Epoch 24/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 83.0071 - mse: 75.6768 - val_loss: 156.8059 - val_mse: 149.4582\n", + "Epoch 25/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 148.3252 - mse: 140.9865 - val_loss: 239.3540 - val_mse: 231.9943\n", + "Epoch 26/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 132.0273 - mse: 124.6787 - val_loss: 108.1199 - val_mse: 100.6524\n", + "Epoch 27/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 107.8259 - mse: 100.4620 - val_loss: 103.5099 - val_mse: 96.1465\n", + "Epoch 28/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 76.6895 - mse: 69.2890 - val_loss: 131.4632 - val_mse: 124.0220\n", + "Epoch 29/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 71.6960 - mse: 64.2655 - val_loss: 74.7270 - val_mse: 67.2968\n", + "Epoch 30/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 52.5191 - mse: 45.0612 - val_loss: 89.9648 - val_mse: 82.5851\n", + "Epoch 31/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 47.8982 - mse: 40.4946 - val_loss: 85.8010 - val_mse: 78.2462\n", + "Epoch 32/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 153.8491 - mse: 146.4391 - val_loss: 139.7235 - val_mse: 132.0751\n", + "Epoch 33/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 157.7070 - mse: 150.2432 - val_loss: 102.4448 - val_mse: 94.8822\n", + "Epoch 34/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 61.2996 - mse: 53.8088 - val_loss: 64.4295 - val_mse: 56.8676\n", + "Epoch 35/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 81.1720 - mse: 73.6843 - val_loss: 71.4335 - val_mse: 63.7964\n", + "Epoch 36/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 65.1870 - mse: 57.6479 - val_loss: 53.2543 - val_mse: 45.6642\n", + "Epoch 37/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 68.4078 - mse: 60.8808 - val_loss: 59.5791 - val_mse: 52.0222\n", + "Epoch 38/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 146.7515 - mse: 139.2625 - val_loss: 64.9574 - val_mse: 57.4160\n", + "Epoch 39/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 74.6466 - mse: 67.1569 - val_loss: 52.7702 - val_mse: 45.1745\n", + "Epoch 40/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 113.0724 - mse: 105.5825 - val_loss: 43.5594 - val_mse: 35.9724\n", + "Epoch 41/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 40.0991 - mse: 32.5448 - val_loss: 40.5156 - val_mse: 32.9414\n", + "Epoch 42/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 31.6662 - mse: 24.1127 - val_loss: 42.3432 - val_mse: 34.7874\n", + "Epoch 43/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 30.1720 - mse: 22.6122 - val_loss: 37.1321 - val_mse: 29.5690\n", + "Epoch 44/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 30.1532 - mse: 22.5930 - val_loss: 41.0939 - val_mse: 33.5480\n", + "Epoch 45/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 30.3057 - mse: 22.7432 - val_loss: 36.4672 - val_mse: 28.8865\n", + "Epoch 46/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 33.3887 - mse: 25.8263 - val_loss: 37.3118 - val_mse: 29.7569\n", + "Epoch 47/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 29.5319 - mse: 21.9649 - val_loss: 32.6861 - val_mse: 25.0888\n", + "Epoch 48/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 46.6220 - mse: 39.0535 - val_loss: 70.5584 - val_mse: 62.9615\n", + "Epoch 49/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 82.8841 - mse: 75.2802 - val_loss: 128.8168 - val_mse: 121.2854\n", + "Epoch 50/100\n", + "2/2 [==============================] - 0s 45ms/step - loss: 104.0572 - mse: 96.4923 - val_loss: 68.8889 - val_mse: 61.3232\n", + "Epoch 51/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 59.8425 - mse: 52.3165 - val_loss: 47.0151 - val_mse: 39.4877\n", + "Epoch 52/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 39.9653 - mse: 32.4390 - val_loss: 34.6718 - val_mse: 27.0581\n", + "Epoch 53/100\n", + "2/2 [==============================] - 0s 39ms/step - loss: 43.9435 - mse: 36.3786 - val_loss: 43.3251 - val_mse: 35.7609\n", + "Epoch 54/100\n", + "2/2 [==============================] - 0s 40ms/step - loss: 46.1566 - mse: 38.5965 - val_loss: 54.2583 - val_mse: 46.6594\n", + "Epoch 55/100\n", + "2/2 [==============================] - 0s 39ms/step - loss: 42.6750 - mse: 35.1058 - val_loss: 41.3832 - val_mse: 33.7114\n", + "Epoch 56/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 44.8004 - mse: 37.2117 - val_loss: 38.7683 - val_mse: 31.1309\n", + "Epoch 57/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 69.2213 - mse: 61.6679 - val_loss: 54.0625 - val_mse: 46.4088\n", + "Epoch 58/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 75.9660 - mse: 68.3876 - val_loss: 60.2315 - val_mse: 52.5822\n", + "Epoch 59/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 82.0860 - mse: 74.5173 - val_loss: 45.2825 - val_mse: 37.6803\n", + "Epoch 60/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 77.4835 - mse: 69.9139 - val_loss: 56.7821 - val_mse: 49.1930\n", + "Epoch 61/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 81.4854 - mse: 73.8773 - val_loss: 59.6619 - val_mse: 52.1175\n", + "Epoch 62/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 108.6703 - mse: 101.0378 - val_loss: 39.9155 - val_mse: 32.2588\n", + "Epoch 63/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 62.6364 - mse: 55.0380 - val_loss: 52.9783 - val_mse: 45.4024\n", + "Epoch 64/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 63.7272 - mse: 56.1233 - val_loss: 45.7007 - val_mse: 38.0880\n", + "Epoch 65/100\n", + "2/2 [==============================] - 0s 39ms/step - loss: 62.2037 - mse: 54.6596 - val_loss: 54.3321 - val_mse: 46.7697\n", + "Epoch 66/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 32.8145 - mse: 25.2191 - val_loss: 37.8027 - val_mse: 30.2405\n", + "Epoch 67/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 33.8898 - mse: 26.2878 - val_loss: 31.8859 - val_mse: 24.3023\n", + "Epoch 68/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 26.9789 - mse: 19.3832 - val_loss: 28.1524 - val_mse: 20.5452\n", + "Epoch 69/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 27.4114 - mse: 19.8042 - val_loss: 42.9619 - val_mse: 35.3707\n", + "Epoch 70/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 28.1043 - mse: 20.5205 - val_loss: 35.2185 - val_mse: 27.5589\n", + "Epoch 71/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 63.9012 - mse: 56.3251 - val_loss: 44.2676 - val_mse: 36.6617\n", + "Epoch 72/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 34.4411 - mse: 26.8566 - val_loss: 29.6403 - val_mse: 22.0000\n", + "Epoch 73/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 34.7937 - mse: 27.2050 - val_loss: 31.5925 - val_mse: 23.9953\n", + "Epoch 74/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 30.6936 - mse: 23.0804 - val_loss: 59.2940 - val_mse: 51.7485\n", + "Epoch 75/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 30.0784 - mse: 22.5103 - val_loss: 34.3947 - val_mse: 26.7787\n", + "Epoch 76/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 31.8078 - mse: 24.1901 - val_loss: 40.0238 - val_mse: 32.4429\n", + "Epoch 77/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 28.7635 - mse: 21.1724 - val_loss: 32.0424 - val_mse: 24.4303\n", + "Epoch 78/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 25.8770 - mse: 18.2752 - val_loss: 26.6314 - val_mse: 19.0009\n", + "Epoch 79/100\n", + "2/2 [==============================] - 0s 44ms/step - loss: 26.9749 - mse: 19.3637 - val_loss: 32.3271 - val_mse: 24.7357\n", + "Epoch 80/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 37.2566 - mse: 29.6363 - val_loss: 75.8318 - val_mse: 68.2977\n", + "Epoch 81/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 33.9857 - mse: 26.4096 - val_loss: 28.4239 - val_mse: 20.8185\n", + "Epoch 82/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 29.9180 - mse: 22.3235 - val_loss: 42.6667 - val_mse: 34.9937\n", + "Epoch 83/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 46.6476 - mse: 39.0387 - val_loss: 36.6959 - val_mse: 29.0672\n", + "Epoch 84/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 30.1005 - mse: 22.4753 - val_loss: 38.1164 - val_mse: 30.5389\n", + "Epoch 85/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 29.7866 - mse: 22.1713 - val_loss: 33.4295 - val_mse: 25.8379\n", + "Epoch 86/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 33.0483 - mse: 25.4297 - val_loss: 32.7919 - val_mse: 25.1627\n", + "Epoch 87/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 50.3415 - mse: 42.7100 - val_loss: 29.4882 - val_mse: 21.8333\n", + "Epoch 88/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 40.8899 - mse: 33.2522 - val_loss: 29.2451 - val_mse: 21.6014\n", + "Epoch 89/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 36.7769 - mse: 29.1432 - val_loss: 34.9894 - val_mse: 27.3794\n", + "Epoch 90/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 32.2015 - mse: 24.5761 - val_loss: 35.8440 - val_mse: 28.2535\n", + "Epoch 91/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 27.4780 - mse: 19.8838 - val_loss: 33.7019 - val_mse: 26.0209\n", + "Epoch 92/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 43.7604 - mse: 36.1356 - val_loss: 53.3165 - val_mse: 45.6931\n", + "Epoch 93/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 32.9278 - mse: 25.3086 - val_loss: 38.9662 - val_mse: 31.3591\n", + "Epoch 94/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 27.7686 - mse: 20.1668 - val_loss: 34.6928 - val_mse: 27.0489\n", + "Epoch 95/100\n", + "2/2 [==============================] - 0s 39ms/step - loss: 27.8141 - mse: 20.1813 - val_loss: 37.5276 - val_mse: 29.9317\n", + "Epoch 96/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 29.9389 - mse: 22.3341 - val_loss: 37.2944 - val_mse: 29.6701\n", + "Epoch 97/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 26.4411 - mse: 18.8166 - val_loss: 32.3081 - val_mse: 24.6977\n", + "Epoch 98/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 27.2705 - mse: 19.6473 - val_loss: 31.9357 - val_mse: 24.3393\n", + "Epoch 99/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 26.6726 - mse: 19.0527 - val_loss: 30.4865 - val_mse: 22.8794\n", + "Epoch 100/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 25.9616 - mse: 18.3304 - val_loss: 40.2791 - val_mse: 32.6620\n", + "1/1 [==============================] - 0s 24ms/step - loss: 53.4749 - mse: 45.8578\n", + "MSE: 45.858\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Predicted value of our model\n", + "y_pred = model.predict(X_test)" + ], + "metadata": { + "id": "A51XjIhquAsV" + }, + "execution_count": 334, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## Plot Loss\n", + "\n", + "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." + ], + "metadata": { + "id": "jmeP6vt3z0oA" + } + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(10,10))\n", + "\n", + "# list all data in history\n", + "print(history.history.keys())\n", + "\n", + "loss_train = history.history['loss'] # training loss\n", + "loss_val = history.history['val_loss'] # validation loss\n", + "epochs = range(0,100) # since epochs=100\n", + "\n", + "#Plotting training loss and validation against epochs\n", + "plt.plot(epochs, loss_train, 'g', label='Training loss')\n", + "plt.plot(epochs, loss_val, 'b', label='validation loss')\n", + "\n", + "plt.title('Training and Validation loss')\n", + "plt.xlabel('Epochs')\n", + "plt.ylabel('Loss')\n", + "plt.legend()\n", + "plt.show()" + ], + "metadata": { + "id": "RQTNqPHm0mOi", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 638 + }, + "outputId": "0c611652-2606-4db1-ee6d-ce1b1488aa4f" + }, + "execution_count": 335, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "dict_keys(['loss', 'mse', 'val_loss', 'val_mse'])\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Evaluation Metrics\n", + "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." + ], + "metadata": { + "id": "IVrR_vXA7kOt" + } + }, + { + "cell_type": "code", + "source": [ + "import numpy as np\n", + "def mean_squared_error(y_true, y_pred):\n", + " return np.mean(np.square(y_true - y_pred))\n", + "\n", + "from sklearn.metrics import r2_score\n", + "\n", + "mse = mean_squared_error(y_test, y_pred) # Pass appropriate parts of dataset\n", + "print(\"MSE:\", mse)\n", + "\n", + "accu = r2_score(y_test, y_pred) # Pass appropriate parts of dataset\n", + "print(\"Accuracy:\", accu)" + ], + "metadata": { + "id": "-lOHpD8-7ggm", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "a1255f81-5034-45f5-cd9c-ae3ff612af9c" + }, + "execution_count": 336, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "MSE: 20035.846584531457\n", + "Accuracy: 0.9954914516463528\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Your own custom model\n", + "Build a custom model of your own choice.
\n", + "Describe it in detail in Markdown/Latex in the cell below.
\n", + "Visualise the loss, as before." + ], + "metadata": { + "id": "CHqzF1OU0pBg" + } + }, + { + "cell_type": "markdown", + "source": [ + "# Custom model\n", + "```\n", + "Input of shape 5\n", + "\n", + "Dense of shape 5\n", + "\n", + "Dense of shape 6\n", + "\n", + "Dense of shape 7\n", + "\n", + "Dense of shape 8\n", + "\n", + "Dense of shape 9\n", + "\n", + "Dense of shape 1\n", + "```" + ], + "metadata": { + "id": "2zB5klv-9_ol" + } + }, + { + "cell_type": "code", + "source": [ + "from tensorflow.keras import layers\n", + "from tensorflow import keras\n", + "\n", + "Model = keras.Sequential(\n", + " [\n", + " layers.Dense(5, activation=\"relu\",input_shape=(5,)),\n", + " layers.Dense(6, activation=\"relu\"),\n", + " layers.Dense(7, activation=\"relu\"),\n", + " layers.Dense(8, activation=\"relu\"),\n", + " layers.Dense(9, activation=\"relu\"),\n", + " layers.Dense(1),\n", + " ]\n", + ")\n", + "\n", + "Model.summary()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "MVWK02bb_5tj", + "outputId": "2fef530d-0d1f-4014-fe7d-257f2d4c84a8" + }, + "execution_count": 337, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model: \"sequential_73\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " dense_279 (Dense) (None, 5) 30 \n", + " \n", + " dense_280 (Dense) (None, 6) 36 \n", + " \n", + " dense_281 (Dense) (None, 7) 49 \n", + " \n", + " dense_282 (Dense) (None, 8) 64 \n", + " \n", + " dense_283 (Dense) (None, 9) 81 \n", + " \n", + " dense_284 (Dense) (None, 1) 10 \n", + " \n", + "=================================================================\n", + "Total params: 270\n", + "Trainable params: 270\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "Used **Adam optimizer** and **Mean Squared Error Loss**\n", + "\n", + "`learning_rate=0.005`" + ], + "metadata": { + "id": "feWWXA3aHb8-" + } + }, + { + "cell_type": "code", + "source": [ + "opt = keras.optimizers.Adam(learning_rate=0.005)\n", + "Model.compile(optimizer=opt,\n", + " loss='mse',\n", + " metrics=['mse'])" + ], + "metadata": { + "id": "J1atOOeSCDt9" + }, + "execution_count": 338, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "#Model Fitting\n", + "\n", + " Evaluating the Mean Squared Error and the loss " + ], + "metadata": { + "id": "S31xCkUmIeph" + } + }, + { + "cell_type": "code", + "source": [ + "history = Model.fit(X_train, y_train, epochs=100, validation_data=(X_val, y_val),shuffle=True)\n", + "\n", + "# Calculating loss and Mean Squared Error\n", + "loss,mse = Model.evaluate(X_test, y_test, verbose=1)\n", + "print('MSE: %.3f' % mse)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "50ARzWD7BIQG", + "outputId": "d1740b8e-b04a-46fd-854b-f27744cf0e5b" + }, + "execution_count": 339, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Epoch 1/100\n", + "2/2 [==============================] - 1s 159ms/step - loss: 11427.6221 - mse: 11427.6221 - val_loss: 11826.8066 - val_mse: 11826.8066\n", + "Epoch 2/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 11425.1660 - mse: 11425.1660 - val_loss: 11826.4512 - val_mse: 11826.4512\n", + "Epoch 3/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 11421.2070 - mse: 11421.2070 - val_loss: 11826.6904 - val_mse: 11826.6904\n", + "Epoch 4/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 11417.7715 - mse: 11417.7715 - val_loss: 11824.8057 - val_mse: 11824.8057\n", + "Epoch 5/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 11412.4922 - mse: 11412.4922 - val_loss: 11824.1260 - val_mse: 11824.1260\n", + "Epoch 6/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 11407.2559 - mse: 11407.2559 - val_loss: 11822.7324 - val_mse: 11822.7324\n", + "Epoch 7/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 11400.3027 - mse: 11400.3027 - val_loss: 11820.8984 - val_mse: 11820.8984\n", + "Epoch 8/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 11392.5713 - mse: 11392.5713 - val_loss: 11818.4502 - val_mse: 11818.4502\n", + "Epoch 9/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 11380.6875 - mse: 11380.6875 - val_loss: 11814.3408 - val_mse: 11814.3408\n", + "Epoch 10/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 11368.0615 - mse: 11368.0615 - val_loss: 11806.5146 - val_mse: 11806.5146\n", + "Epoch 11/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 11352.5352 - mse: 11352.5352 - val_loss: 11795.9229 - val_mse: 11795.9229\n", + "Epoch 12/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 11331.5576 - mse: 11331.5576 - val_loss: 11779.6836 - val_mse: 11779.6836\n", + "Epoch 13/100\n", + "2/2 [==============================] - 0s 41ms/step - loss: 11306.4258 - mse: 11306.4258 - val_loss: 11756.3340 - val_mse: 11756.3340\n", + "Epoch 14/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 11275.2588 - mse: 11275.2588 - val_loss: 11726.7891 - val_mse: 11726.7891\n", + "Epoch 15/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 11235.5869 - mse: 11235.5869 - val_loss: 11687.4688 - val_mse: 11687.4688\n", + "Epoch 16/100\n", + "2/2 [==============================] - 0s 41ms/step - loss: 11191.7637 - mse: 11191.7637 - val_loss: 11643.2041 - val_mse: 11643.2041\n", + "Epoch 17/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 11131.1006 - mse: 11131.1006 - val_loss: 11584.2568 - val_mse: 11584.2568\n", + "Epoch 18/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 11061.1982 - mse: 11061.1982 - val_loss: 11517.0957 - val_mse: 11517.0957\n", + "Epoch 19/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 10980.4180 - mse: 10980.4180 - val_loss: 11434.0840 - val_mse: 11434.0840\n", + "Epoch 20/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 10872.0918 - mse: 10872.0918 - val_loss: 11334.4277 - val_mse: 11334.4277\n", + "Epoch 21/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 10742.9365 - mse: 10742.9365 - val_loss: 11210.0312 - val_mse: 11210.0312\n", + "Epoch 22/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 10599.7979 - mse: 10599.7979 - val_loss: 11057.8154 - val_mse: 11057.8154\n", + "Epoch 23/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 10409.5566 - mse: 10409.5566 - val_loss: 10877.9336 - val_mse: 10877.9336\n", + "Epoch 24/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 10199.8418 - mse: 10199.8418 - val_loss: 10665.2266 - val_mse: 10665.2266\n", + "Epoch 25/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 9936.9229 - mse: 9936.9229 - val_loss: 10407.0322 - val_mse: 10407.0322\n", + "Epoch 26/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 9658.6787 - mse: 9658.6787 - val_loss: 10101.6191 - val_mse: 10101.6191\n", + "Epoch 27/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 9290.3643 - mse: 9290.3643 - val_loss: 9751.7842 - val_mse: 9751.7842\n", + "Epoch 28/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 8922.1719 - mse: 8922.1719 - val_loss: 9352.0322 - val_mse: 9352.0322\n", + "Epoch 29/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 8469.6445 - mse: 8469.6445 - val_loss: 8891.9775 - val_mse: 8891.9775\n", + "Epoch 30/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 7963.9814 - mse: 7963.9814 - val_loss: 8377.5244 - val_mse: 8377.5244\n", + "Epoch 31/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 7450.6709 - mse: 7450.6709 - val_loss: 7821.2070 - val_mse: 7821.2070\n", + "Epoch 32/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 6952.2651 - mse: 6952.2651 - val_loss: 7247.1602 - val_mse: 7247.1602\n", + "Epoch 33/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 6363.9619 - mse: 6363.9619 - val_loss: 6616.2236 - val_mse: 6616.2236\n", + "Epoch 34/100\n", + "2/2 [==============================] - 0s 40ms/step - loss: 5930.1753 - mse: 5930.1753 - val_loss: 5974.7832 - val_mse: 5974.7832\n", + "Epoch 35/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 5425.3872 - mse: 5425.3872 - val_loss: 5315.7134 - val_mse: 5315.7134\n", + "Epoch 36/100\n", + "2/2 [==============================] - 0s 58ms/step - loss: 5046.5732 - mse: 5046.5732 - val_loss: 4701.0107 - val_mse: 4701.0107\n", + "Epoch 37/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 4652.1777 - mse: 4652.1777 - val_loss: 4160.1240 - val_mse: 4160.1240\n", + "Epoch 38/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 4247.1016 - mse: 4247.1016 - val_loss: 3728.5425 - val_mse: 3728.5425\n", + "Epoch 39/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 3844.1511 - mse: 3844.1511 - val_loss: 3430.9639 - val_mse: 3430.9639\n", + "Epoch 40/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 3561.4614 - mse: 3561.4614 - val_loss: 3178.0229 - val_mse: 3178.0229\n", + "Epoch 41/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 3245.1211 - mse: 3245.1211 - val_loss: 2946.9412 - val_mse: 2946.9412\n", + "Epoch 42/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 2944.0000 - mse: 2944.0000 - val_loss: 2717.1165 - val_mse: 2717.1165\n", + "Epoch 43/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 2639.2734 - mse: 2639.2734 - val_loss: 2485.2793 - val_mse: 2485.2793\n", + "Epoch 44/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 2371.1079 - mse: 2371.1079 - val_loss: 2305.6162 - val_mse: 2305.6162\n", + "Epoch 45/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 2099.1260 - mse: 2099.1260 - val_loss: 2155.9658 - val_mse: 2155.9658\n", + "Epoch 46/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 1844.1104 - mse: 1844.1104 - val_loss: 2075.6841 - val_mse: 2075.6841\n", + "Epoch 47/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 1601.7657 - mse: 1601.7657 - val_loss: 2007.2303 - val_mse: 2007.2303\n", + "Epoch 48/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 1430.7605 - mse: 1430.7605 - val_loss: 1873.4553 - val_mse: 1873.4553\n", + "Epoch 49/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 1282.9199 - mse: 1282.9199 - val_loss: 1744.9751 - val_mse: 1744.9751\n", + "Epoch 50/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 1151.5432 - mse: 1151.5432 - val_loss: 1637.4865 - val_mse: 1637.4865\n", + "Epoch 51/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 1058.7981 - mse: 1058.7981 - val_loss: 1534.5305 - val_mse: 1534.5305\n", + "Epoch 52/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 1000.0366 - mse: 1000.0366 - val_loss: 1494.2034 - val_mse: 1494.2034\n", + "Epoch 53/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 938.5808 - mse: 938.5808 - val_loss: 1437.9701 - val_mse: 1437.9701\n", + "Epoch 54/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 886.9390 - mse: 886.9390 - val_loss: 1361.4518 - val_mse: 1361.4518\n", + "Epoch 55/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 833.4323 - mse: 833.4323 - val_loss: 1271.1262 - val_mse: 1271.1262\n", + "Epoch 56/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 786.8690 - mse: 786.8690 - val_loss: 1218.4502 - val_mse: 1218.4502\n", + "Epoch 57/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 743.7040 - mse: 743.7040 - val_loss: 1148.6993 - val_mse: 1148.6993\n", + "Epoch 58/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 711.2599 - mse: 711.2599 - val_loss: 1065.0968 - val_mse: 1065.0968\n", + "Epoch 59/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 678.9846 - mse: 678.9846 - val_loss: 981.6328 - val_mse: 981.6328\n", + "Epoch 60/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 652.9368 - mse: 652.9368 - val_loss: 863.3831 - val_mse: 863.3831\n", + "Epoch 61/100\n", + "2/2 [==============================] - 0s 50ms/step - loss: 621.1463 - mse: 621.1463 - val_loss: 831.8065 - val_mse: 831.8065\n", + "Epoch 62/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 586.3661 - mse: 586.3661 - val_loss: 762.5015 - val_mse: 762.5015\n", + "Epoch 63/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 571.3463 - mse: 571.3463 - val_loss: 674.2130 - val_mse: 674.2130\n", + "Epoch 64/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 541.3625 - mse: 541.3625 - val_loss: 655.6013 - val_mse: 655.6013\n", + "Epoch 65/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 517.7994 - mse: 517.7994 - val_loss: 626.0479 - val_mse: 626.0479\n", + "Epoch 66/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 499.6670 - mse: 499.6670 - val_loss: 621.8913 - val_mse: 621.8913\n", + "Epoch 67/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 480.0826 - mse: 480.0826 - val_loss: 575.8791 - val_mse: 575.8791\n", + "Epoch 68/100\n", + "2/2 [==============================] - 0s 37ms/step - loss: 466.3652 - mse: 466.3652 - val_loss: 557.4099 - val_mse: 557.4099\n", + "Epoch 69/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 456.1577 - mse: 456.1577 - val_loss: 547.2971 - val_mse: 547.2971\n", + "Epoch 70/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 440.4045 - mse: 440.4045 - val_loss: 531.0605 - val_mse: 531.0605\n", + "Epoch 71/100\n", + "2/2 [==============================] - 0s 43ms/step - loss: 426.7056 - mse: 426.7056 - val_loss: 518.6238 - val_mse: 518.6238\n", + "Epoch 72/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 417.1322 - mse: 417.1322 - val_loss: 512.4182 - val_mse: 512.4182\n", + "Epoch 73/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 419.5732 - mse: 419.5732 - val_loss: 484.2965 - val_mse: 484.2965\n", + "Epoch 74/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 390.6739 - mse: 390.6739 - val_loss: 493.0372 - val_mse: 493.0372\n", + "Epoch 75/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 387.9776 - mse: 387.9776 - val_loss: 494.2258 - val_mse: 494.2258\n", + "Epoch 76/100\n", + "2/2 [==============================] - 0s 53ms/step - loss: 373.6021 - mse: 373.6021 - val_loss: 469.4347 - val_mse: 469.4347\n", + "Epoch 77/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 361.4257 - mse: 361.4257 - val_loss: 455.1640 - val_mse: 455.1640\n", + "Epoch 78/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 354.4913 - mse: 354.4913 - val_loss: 458.4984 - val_mse: 458.4984\n", + "Epoch 79/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 340.6790 - mse: 340.6790 - val_loss: 454.9095 - val_mse: 454.9095\n", + "Epoch 80/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 333.8256 - mse: 333.8256 - val_loss: 446.0440 - val_mse: 446.0440\n", + "Epoch 81/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 335.3815 - mse: 335.3815 - val_loss: 431.2281 - val_mse: 431.2281\n", + "Epoch 82/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 316.9374 - mse: 316.9374 - val_loss: 432.9009 - val_mse: 432.9009\n", + "Epoch 83/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 309.5587 - mse: 309.5587 - val_loss: 430.1270 - val_mse: 430.1270\n", + "Epoch 84/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 302.8607 - mse: 302.8607 - val_loss: 425.5235 - val_mse: 425.5235\n", + "Epoch 85/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 306.2922 - mse: 306.2922 - val_loss: 413.6851 - val_mse: 413.6851\n", + "Epoch 86/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 298.5685 - mse: 298.5685 - val_loss: 415.8441 - val_mse: 415.8441\n", + "Epoch 87/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 285.2379 - mse: 285.2379 - val_loss: 411.2028 - val_mse: 411.2028\n", + "Epoch 88/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 274.5176 - mse: 274.5176 - val_loss: 403.0289 - val_mse: 403.0289\n", + "Epoch 89/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 268.5383 - mse: 268.5383 - val_loss: 400.3427 - val_mse: 400.3427\n", + "Epoch 90/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 264.4914 - mse: 264.4914 - val_loss: 395.9077 - val_mse: 395.9077\n", + "Epoch 91/100\n", + "2/2 [==============================] - 0s 53ms/step - loss: 257.8169 - mse: 257.8169 - val_loss: 392.1808 - val_mse: 392.1808\n", + "Epoch 92/100\n", + "2/2 [==============================] - 0s 59ms/step - loss: 254.5001 - mse: 254.5001 - val_loss: 386.7127 - val_mse: 386.7127\n", + "Epoch 93/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 246.3999 - mse: 246.3999 - val_loss: 382.8686 - val_mse: 382.8686\n", + "Epoch 94/100\n", + "2/2 [==============================] - 0s 37ms/step - loss: 245.9751 - mse: 245.9751 - val_loss: 377.1136 - val_mse: 377.1136\n", + "Epoch 95/100\n", + "2/2 [==============================] - 0s 42ms/step - loss: 236.7425 - mse: 236.7425 - val_loss: 378.0335 - val_mse: 378.0335\n", + "Epoch 96/100\n", + "2/2 [==============================] - 0s 41ms/step - loss: 233.4299 - mse: 233.4299 - val_loss: 376.2889 - val_mse: 376.2889\n", + "Epoch 97/100\n", + "2/2 [==============================] - 0s 39ms/step - loss: 227.0180 - mse: 227.0180 - val_loss: 371.7325 - val_mse: 371.7325\n", + "Epoch 98/100\n", + "2/2 [==============================] - 0s 45ms/step - loss: 224.4904 - mse: 224.4904 - val_loss: 369.9965 - val_mse: 369.9965\n", + "Epoch 99/100\n", + "2/2 [==============================] - 0s 43ms/step - loss: 220.6570 - mse: 220.6570 - val_loss: 370.7662 - val_mse: 370.7662\n", + "Epoch 100/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 216.3112 - mse: 216.3112 - val_loss: 378.1454 - val_mse: 378.1454\n", + "1/1 [==============================] - 0s 29ms/step - loss: 746.9486 - mse: 746.9486\n", + "MSE: 746.949\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Predicted value of our model\n", + "y_pred = Model.predict(X_test)" + ], + "metadata": { + "id": "ab43eJ3XDrQO" + }, + "execution_count": 340, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "#Plotting Loss" + ], + "metadata": { + "id": "zUR8xRWIJuFp" + } + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(9,9))\n", + "\n", + "# list all data in history\n", + "print(history.history.keys())\n", + "\n", + "loss_train = history.history['loss'] # training loss\n", + "loss_val = history.history['val_loss'] # validation loss\n", + "epochs = range(0,100) # since epochs=100\n", + "\n", + "#Plotting training loss and validation against epochs\n", + "plt.plot(epochs, loss_train, 'g', label='Training loss')\n", + "plt.plot(epochs, loss_val, 'b', label='validation loss')\n", + "\n", + "plt.title('Training and Validation loss')\n", + "plt.xlabel('Epochs')\n", + "plt.ylabel('Loss')\n", + "plt.legend()\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 584 + }, + "id": "yqXQt2KTD2pG", + "outputId": "97e78d71-38f7-4f34-e1f9-98ef9335d118" + }, + "execution_count": 341, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "dict_keys(['loss', 'mse', 'val_loss', 'val_mse'])\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + } + ] +} \ No newline at end of file From 25110c1d943c2e7a3bfac2b89e7bbd7bd7942461 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 22 Jun 2022 23:17:53 +0530 Subject: [PATCH 05/35] Create test --- Assignment 3/test | 1 + 1 file changed, 1 insertion(+) create mode 100644 Assignment 3/test diff --git a/Assignment 3/test b/Assignment 3/test new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/Assignment 3/test @@ -0,0 +1 @@ + From 856cc8d2fae49e06d3a11c6de7b2262062f9a80f Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 22 Jun 2022 23:20:16 +0530 Subject: [PATCH 06/35] Assignment_3_200526 --- Assignment 3/A3_200526 .ipynb | 677 ++++++++++++++++++++++++++++++++++ 1 file changed, 677 insertions(+) create mode 100644 Assignment 3/A3_200526 .ipynb diff --git a/Assignment 3/A3_200526 .ipynb b/Assignment 3/A3_200526 .ipynb new file mode 100644 index 0000000..c95608f --- /dev/null +++ b/Assignment 3/A3_200526 .ipynb @@ -0,0 +1,677 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "A3_200526.ipynb", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "gpuClass": "standard", + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Assignment 3\n", + "\n", + " In this Assignment, we will use CNN to classify digits. \n", + "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", + "\n" + ], + "metadata": { + "id": "VGHh_5UYzKpV" + } + }, + { + "cell_type": "markdown", + "source": [ + "## Importing TensorFlow and other libraries" + ], + "metadata": { + "id": "JnsMbCPNzPAr" + } + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "id": "HRLTw3cMwvi7" + }, + "outputs": [], + "source": [ + "import tensorflow as tf\n", + "from numpy import mean\n", + "from numpy import std\n", + "from matplotlib import pyplot as plt\n", + "from sklearn.model_selection import KFold\n", + "from tensorflow.keras.datasets import mnist\n", + "from tensorflow.keras.utils import to_categorical\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.layers import Conv2D\n", + "from tensorflow.keras.layers import MaxPooling2D\n", + "from tensorflow.keras.layers import Dense\n", + "from tensorflow.keras.layers import Flatten\n", + "from tensorflow.keras.layers import BatchNormalization\n", + "from tensorflow.keras.optimizers import SGD" + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Importing the dataset" + ], + "metadata": { + "id": "6Ji7HGpgzSPi" + } + }, + { + "cell_type": "code", + "source": [ + "# Import the dataset\n", + "\n", + "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" + ], + "metadata": { + "id": "oEW3KDEvzIHL", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "8a2986ea-a144-45dd-a12f-a9e7d8146cc8" + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n", + "11493376/11490434 [==============================] - 0s 0us/step\n", + "11501568/11490434 [==============================] - 0s 0us/step\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Printing the shape" + ], + "metadata": { + "id": "E7CXFUR_Comf" + } + }, + { + "cell_type": "code", + "source": [ + "print(x_test.shape)\n", + "print(x_train.shape)\n", + "print(y_test.shape)\n", + "print(y_train.shape)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "EcjBt8UXQQ0K", + "outputId": "7cc06cc9-b9be-4777-ef65-25354539bc68" + }, + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "(10000, 28, 28)\n", + "(60000, 28, 28)\n", + "(10000,)\n", + "(60000,)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "##Splitting the dataset " + ], + "metadata": { + "id": "h-W4obzlCx-3" + } + }, + { + "cell_type": "code", + "source": [ + "# Split the dataset\n", + "\n", + "from sklearn.model_selection import train_test_split\n", + "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)\n" + ], + "metadata": { + "id": "F_sRU9dx_mYQ" + }, + "execution_count": 4, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "##Printing the shape" + ], + "metadata": { + "id": "j97BCxe5DBbw" + } + }, + { + "cell_type": "code", + "source": [ + "print(X_test.shape)\n", + "print(X_train.shape)\n", + "print(Y_test.shape)\n", + "print(Y_train.shape)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "SczEFU9gQyEi", + "outputId": "e503ed05-7ded-495a-e84e-d3830d426356" + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "(2000, 28, 28)\n", + "(8000, 28, 28)\n", + "(2000,)\n", + "(8000,)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "##Resizing the images, normalizing the pixel values and One-Hot Encoding of the target variables" + ], + "metadata": { + "id": "nGZRJnYeQxGR" + } + }, + { + "cell_type": "code", + "source": [ + "# Reshaping \n", + "img_rows,img_cols=28,28\n", + "X_train=X_train.reshape(X_train.shape[0],img_rows,img_cols,1)\n", + "X_test=X_test.reshape(X_test.shape[0],img_rows,img_cols,1)\n", + "\n", + "print(X_test.shape)\n", + "print(X_train.shape)\n", + "\n", + "# Normalizing\n", + "X_train= X_train.astype('float32')\n", + "X_test= X_test.astype('float32')\n", + "X_train= X_train/255.0\n", + "X_test= X_test/255.0\n", + "\n", + "print(Y_train.shape)\n", + "print(Y_test.shape)\n", + "\n", + "# One-Hot Encoding\n", + "Y_train= to_categorical(Y_train)\n", + "Y_test= to_categorical(Y_test)\n", + "\n", + "print(Y_train.shape)\n", + "print(Y_test.shape)" + ], + "metadata": { + "id": "rbt0WbW6sDVs", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "fc353dc4-5f0b-46b2-d5e5-9c701a06e1b1" + }, + "execution_count": 6, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "(2000, 28, 28, 1)\n", + "(8000, 28, 28, 1)\n", + "(8000,)\n", + "(2000,)\n", + "(8000, 10)\n", + "(2000, 10)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Visualizing the dataset\n", + "Printing the images with their labels." + ], + "metadata": { + "id": "EVpQheoVqoEG" + } + }, + { + "cell_type": "code", + "source": [ + "X_train__ = X_train.reshape(X_train.shape[0], 28, 28)\n", + "\n", + "# 4 rows and 4 columns \n", + "fig, axis = plt.subplots(4, 4, figsize=(10, 10))\n", + "for i, ax in enumerate(axis.flat):\n", + " # Plotting raw pixel data\n", + " ax.imshow(X_train__[i], cmap='binary')\n", + " # Labels\n", + " digit = Y_train[i].argmax()\n", + " ax.set(title = f\"Real Number is {digit}\");\n", + "# adjusting the spacing\n", + "plt.subplots_adjust(wspace=0.2, hspace=0.5) " + ], + "metadata": { + "id": "yF1Nj63Bz9m7", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 607 + }, + "outputId": "80e7b6db-5cfc-420a-f2ee-872370650d42" + }, + "execution_count": 7, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "###Plotting statistics of the training and testing dataset \n", + "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" + ], + "metadata": { + "id": "Rx8muKSIrKhe" + } + }, + { + "cell_type": "code", + "source": [ + "import numpy as np\n", + "\n", + "# For testing dataset\n", + "digits=['0','1','2','3','4','5','6','7','8','9']\n", + "n_samples=[]\n", + "zero=one=two=three=four=five=six=seven=eight=nine=0\n", + "for i in Y_test:\n", + " if i.argmax()==0:\n", + " zero+=1\n", + " elif i.argmax()==1:\n", + " one+=1\n", + " elif i.argmax()==2:\n", + " two+=1\n", + " elif i.argmax()==3:\n", + " three+=1\n", + " elif i.argmax()==4:\n", + " four+=1\n", + " elif i.argmax()==5:\n", + " five+=1\n", + " elif i.argmax()==6:\n", + " six+=1\n", + " elif i.argmax()==7:\n", + " seven+=1\n", + " elif i.argmax()==8:\n", + " eight+=1\n", + " elif i.argmax()==9:\n", + " nine+=1\n", + " \n", + "n_samples.append(zero)\n", + "n_samples.append(one)\n", + "n_samples.append(two)\n", + "n_samples.append(three)\n", + "n_samples.append(four)\n", + "n_samples.append(five)\n", + "n_samples.append(six)\n", + "n_samples.append(seven)\n", + "n_samples.append(eight)\n", + "n_samples.append(nine)\n", + "\n", + "print(n_samples)\n", + "print(digits)\n", + "plt.bar(digits,n_samples)\n", + "plt.ylabel(\"Number of samples\")\n", + "plt.xlabel(\"Digits\")" + ], + "metadata": { + "id": "37kehTG_6Pi4", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 331 + }, + "outputId": "56f430ea-0430-4b9e-d2cf-4777f2ad5700" + }, + "execution_count": 8, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[203, 208, 211, 213, 188, 201, 169, 201, 198, 208]\n", + "['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(0.5, 0, 'Digits')" + ] + }, + "metadata": {}, + "execution_count": 8 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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YkqSZG6b76NiB3ccAE8BPZhO0qn4EPHGDthNm85mSpNkbZvTR4LoK64G7aLqQJEnbmWHuKbiugiTNEZtajvPNmzivquotI8hHkjRGm7pS+NEUbbsCJ9HcD7AoSNJ2ZlPLcXYPjyXZDTiNZn6ij7GRB8skSdu2Td5TSLIn8HrgvwLnA8+cauoJSdL2YVP3FN4JHAssBX6lqn7YW1aSpLHY1MNrpwNPAv4c+Pck97evdUnu7yc9SVKfNnVPYUZPO0uStn3+4pckdSwKkqSORUGS1LEoSJI6FgVJUseiIEnqDDN19kgkuQtYBzwErK+qifYJ6o8DC2mm6D7OJ6glqT/jvlJ4YVUtrqqJdv8M4OqqWgRc3e5Lknoy7qKwoWNo5lii/fnyMeYiSXPOOItCAVcmWZFkSdu2T1WtbrfvBfbZ8KQkS5IsT7J87dq1feUqSXPC2O4pAM+vqnuS7A1cleTWwYNVVUlqw5OqainNJH1MTEw86rgkafON7Uqhqu5pf64BLgOeDdyXZD5A+3PNuPKTpLloLEUhya7twj0k2RV4MXATcDnwqvZtrwI+NY78JGmuGlf30T7AZUkmc7iwqj6b5KvARUlOAu4GjhtTfpI0J42lKFTVncDTp2j/LnBE/xlJkmDrG5IqSRoji4IkqWNRkCR1LAqSpI5FQZLUsShIkjoWBUlSx6IgSepYFCRJHYuCJKljUZAkdSwKkqSORUGS1LEoSJI6FgVJUqf3opBk/ySfS/L1JDcnOa1t/4sk9yRZ2b6O6js3SZrrxrHIznrg9Kq6rl2Sc0WSq9pj76mqd40hJ0kSYygKVbUaWN1ur0tyC7Bv33lIkh5trPcUkiwEngFc2zadmuSGJOcl2WMj5yxJsjzJ8rVr1/aUqSTNDWMrCkkeD1wCvK6q7gfOAZ4CLKa5knj3VOdV1dKqmqiqiXnz5vWWryTNBWMpCkl2oikIF1TVpQBVdV9VPVRVDwMfAp49jtwkaS4bx+ijAOcCt1TV2QPt8wfe9grgpr5zk6S5bhyjjw4BTgBuTLKybTsTOD7JYqCAu4DXjiE3SZrTxjH66ItApjh0Rd+5SJIeySeaJUkdi4IkqWNRkCR1LAqSpI5FQZLUsShIkjoWBUlSx6IgSepYFCRJHYuCJKljUZAkdSwKkqSORUGS1LEoSJI6FgVJUseiIEnqbHVFIcmRSW5LcnuSM8adjyTNJVtVUUiyA/C3wEuAg2mW6Dx4vFlJ0tyxVRUF4NnA7VV1Z1X9FPgYcMyYc5KkOSNVNe4cOkl+Gziyqv6w3T8BeE5VnTrwniXAknb3IOC2HlPcC/hOj/GMbWxjG3sUnlxV86Y6sGOPSWwRVbUUWDqO2EmWV9WEsY1tbGNvL7E3tLV1H90D7D+wv1/bJknqwdZWFL4KLEpyQJKdgVcCl485J0maM7aq7qOqWp/kVOAfgB2A86rq5jGnNWgs3VbGNraxjd2XrepGsyRpvLa27iNJ0hhZFCRJHYvCEMY59UaS85KsSXJTn3Hb2Psn+VySrye5OclpPcZ+bJKvJPlaG/sv+4o9kMMOSa5P8ume496V5MYkK5Ms7zn27kkuTnJrkluSPK+nuAe133fydX+S1/URu43/J+1/ZzclWZbksT3GPq2Ne3Of33mjqsrXJl40N7zvAA4Edga+BhzcY/xDgWcCN43hu88Hntlu7wb8W1/fHQjw+HZ7J+Ba4Lk9f//XAxcCn+457l3AXn3/e7exzwf+sN3eGdh9DDnsANxL84BVH/H2Bb4J7NLuXwS8uqfYTwNuAh5HM/DnH4H/NI5/+8mXVwrTG+vUG1X1BeB7fcXbIPbqqrqu3V4H3ELzP1Afsauqftju7tS+ehsVkWQ/4KXAh/uKOW5JfpHmj5BzAarqp1X1H2NI5Qjgjqq6u8eYOwK7JNmR5hf0v/cU95eBa6vqgapaD1wDHNtT7ClZFKa3L/Dtgf1V9PSLcWuSZCHwDJq/2PuKuUOSlcAa4Kqq6i028DfAG4CHe4w5qYArk6xop3XpywHAWuD/tN1mH06ya4/xJ70SWNZXsKq6B3gX8C1gNfCDqrqyp/A3AS9I8sQkjwOO4pEP8PbOoqBpJXk8cAnwuqq6v6+4VfVQVS2mebL92Ume1kfcJC8D1lTVij7iTeH5VfVMmtmCT0lyaE9xd6Tpqjynqp4B/Ajo+x7azsDRwCd6jLkHzdX/AcCTgF2T/F4fsavqFuCvgCuBzwIrgYf6iL0xFoXpzempN5LsRFMQLqiqS8eRQ9uF8TngyJ5CHgIcneQumu7Cw5P8355iT/7lSlWtAS6j6cLswypg1cAV2cU0RaJPLwGuq6r7eoz5G8A3q2ptVf0MuBT49b6CV9W5VfWsqjoU+D7NvbuxsShMb85OvZEkNP3Lt1TV2T3Hnpdk93Z7F+BFwK19xK6qN1bVflW1kObf+5+qqpe/HJPsmmS3yW3gxTRdDCNXVfcC305yUNt0BPD1PmIPOJ4eu45a3wKem+Rx7X/zR9DcP+tFkr3bnwto7idc2FfsqWxV01xsjWrMU28kWQYcBuyVZBVwVlWd21P4Q4ATgBvbvn2AM6vqih5izwfObxdeegxwUVX1OjR0TPYBLmt+N7EjcGFVfbbH+H8EXND+AXQncGJfgdsi+CLgtX3FBKiqa5NcDFwHrAeup99pJy5J8kTgZ8ApY7q533GaC0lSx+4jSVLHoiBJ6lgUJEkdi4IkqWNRkCR1LArSNJI81M7ceXM7a+vpSR7THptI8r4hPuNf258Lk/yXUecsbS6HpErTSPLDqnp8u703zcNF/1JVZ23GZx0G/PeqetmWzVLaMrxSkGagnXpiCXBqGodNrrfQPoV9VXtF8eEkdyfZqz02OePrO2gmQFvZzuH/1HbdiJVJbkiyaDzfTGpYFKQZqqo7aZ5u33uDQ2fRTInxVJp5gxZMcfoZwD9X1eKqeg9wMvDeduK/CZr5h6SxcZoLact5PvAKgKr6bJLvD3HOl4A/a9dvuLSqvjHKBKXpeKUgzVCSA2mmN14z28+qqgtppor+MXBFksNn+5nSbFgUpBlIMg/4IPD+evQojX8Bjmvf92Jgjyk+Yh3N0qaTn3cgcGdVvQ/4FPCro8hbGpbdR9L0dmlnid2JZhbNvwOmmkr8L4FlSU6g6Ra6l6YIDLoBeCjJ14CPAL8AnJDkZ+373zaSbyANySGp0haS5BeAh9rp1p9Hs4LZ4nHnJc2EVwrSlrMAuKh9sO2nwGvGnI80Y14pSJI63miWJHUsCpKkjkVBktSxKEiSOhYFSVLn/wMpYh0UQIJPgQAAAABJRU5ErkJggg==\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "# For training data\n", + "n_samples=[]\n", + "zero=one=two=three=four=five=six=seven=eight=nine=0\n", + "for i in Y_train:\n", + " if i.argmax()==0:\n", + " zero+=1\n", + " elif i.argmax()==1:\n", + " one+=1\n", + " elif i.argmax()==2:\n", + " two+=1\n", + " elif i.argmax()==3:\n", + " three+=1\n", + " elif i.argmax()==4:\n", + " four+=1\n", + " elif i.argmax()==5:\n", + " five+=1\n", + " elif i.argmax()==6:\n", + " six+=1\n", + " elif i.argmax()==7:\n", + " seven+=1\n", + " elif i.argmax()==8:\n", + " eight+=1\n", + " elif i.argmax()==9:\n", + " nine+=1\n", + " \n", + "n_samples.append(zero)\n", + "n_samples.append(one)\n", + "n_samples.append(two)\n", + "n_samples.append(three)\n", + "n_samples.append(four)\n", + "n_samples.append(five)\n", + "n_samples.append(six)\n", + "n_samples.append(seven)\n", + "n_samples.append(eight)\n", + "n_samples.append(nine)\n", + "\n", + "print(n_samples)\n", + "print(digits)\n", + "plt.bar(digits,n_samples)\n", + "plt.ylabel(\"Number of samples\")\n", + "plt.xlabel(\"Digits\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 331 + }, + "id": "Lfmvn5V9-23B", + "outputId": "c8a0a936-a7a4-4e24-96d7-ef718d8d0baa" + }, + "execution_count": 9, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[777, 927, 821, 797, 794, 691, 789, 827, 776, 801]\n", + "['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(0.5, 0, 'Digits')" + ] + }, + "metadata": {}, + "execution_count": 9 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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tm3c0S5J6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqbdJhUKSlyf5WpLlSZbOuh9J2txsMqGQZEvgg8BRwAHAa5McMNuuJGnzssmEAvACYHlV3VlVjwKXAMfNuCdJ2qykqmbdAwBJTgBeXlW/3uZPBF5YVW94ynanAqe22ecDX5uwzV2B705Yz9rWtra1x/Dcqlq0uhULJmxio6iq84DzZlE7ybKqWmJta1vb2vOl9lNtSoeP7gH2njO/V1smSZrIphQKXwH2T7Jvkq2B1wBXzLgnSdqsbDKHj6rq8SRvAP4S2BL406q6dcZtPdVMDltZ29rWtvZUNpkTzZKk2duUDh9JkmbMUJAk9QyFAWY5/EaSP01yf5JbJq67d5Krk9yW5NYkp09Ye5skf5/kq632705Ve04PWya5IcmnZ1D7riQ3J7kxybKJay9MclmSO5LcnuRFE9V9fvu+q34eTPLmKWq3+r/V/l+7JcnFSbaZsPbpre6tU37nNaoqf9byQ3fS+xvAfsDWwFeBAyasfzhwCHDLxN97D+CQNr0D8P+m+t5AgGe36a2Aa4FDJ/7+bwE+Cnx6yrqt9l3ArlPXbbUvBH69TW8NLJxBD1sC99HdYDVFvT2BbwLbtvlLgddNVPtA4BZgO7oLf/4KeN4s/tuv+nFPYd1mOvxGVf1f4HtT1ZtT996qur5NPwTcTvePZ4raVVU/bLNbtZ/JrohIshdwDHD+VDU3BUl2pPsj5AKAqnq0qr4/g1aOBL5RVd+asOYCYNskC+h+Qf/DRHV/Hri2qh6pqseBLwLHT1R7tQyFddsTuHvO/Aom+uW4qUiyGDiY7i/2qWpumeRG4H7gc1U1WW3gD4HfBp6csOZcBVyV5Lo2rMtU9gVWAh9qh87OT7L9hPVXeQ1w8VTFquoe4A+AbwP3Aj+oqqsmKn8L8K+S7JJkO+Bofvom3skZClqrJM8GPg68uaoenKpuVT1RVQfR3dn+giQHTlE3ySuA+6vquinqrcGLq+oQuhGDT0ty+ER1F9Adqjy3qg4GHgamPoe2NXAs8LEJa+5Et/e/L/BzwPZJfm2K2lV1O/Ae4Crgs8CNwBNT1F4TQ2HdNtvhN5JsRRcIF1XV5bPooR2+uBp4+UQlDwOOTXIX3aHCI5L8n4lqA/1frlTV/cAn6A5hTmEFsGLOXtlldCExpaOA66vqOxPW/BXgm1W1sqoeAy4Hfnmq4lV1QVX9i6o6HHiA7vzdzBgK67ZZDr+RJHTHlm+vqvdNXHtRkoVtelvgpcAdU9SuqrdX1V5VtZjuv/UXqmqSvxoBkmyfZIdV08DL6A4xjK6q7gPuTvL8tuhI4LYpas/xWiY8dNR8Gzg0yXbt//sj6c6hTSLJbu11H7rzCR+dqvbqbDLDXGyqasbDbyS5GHgJsGuSFcCZVXXBBKUPA04Ebm7H9gHOqKorJ6i9B3Bhe/DSFsClVTX5paEzsjvwie53EwuAj1bVZyes/0bgovYH0J3AyVMVbiH4UuA3p6oJUFXXJrkMuB54HLiBaYed+HiSXYDHgNNmdHK/5zAXkqSeh48kST1DQZLUMxQkST1DQZLUMxQkST1DQVqHJE+0kTtvbSO3vjXJFm3dkiTnDPiMv22vi5P8x7F7lp4uL0mV1iHJD6vq2W16N7qbi/6mqs58Gp/1EuC/VtUrNm6X0sbhnoK0HtrQE6cCb0jnJaueudDuxP5c26M4P8m3kuza1q0a9fUsugHQbmxj+P9Ce3bEjUluSrL/bL6Z1DEUpPVUVXfS3d2+21NWnUk3LMYv0I0btM9q3r4U+OuqOqiqzgZeD7y/Df63hG78IWlmHOZC2nheDPx7gKr6bJIHBrzny8B/b89wuLyqvj5mg9K6uKcgrack+9ENb3z/hn5WVX2UbqjoHwFXJjliQz9T2hCGgrQekiwC/hj4QP3sVRp/A7y6bfcyYKfVfMRDdI83XfV5+wF3VtU5wKeAfz5G39JQHj6S1m3bNlLsVnSjaH4EWN1w4r8LXJzkRLrDQvfRhcBcNwFPJPkq8L+BZwEnJnmsbf/uUb6BNJCXpEobSZJnAU+04dZfRPcEs4Nm3Ze0PtxTkDaefYBL241tjwK/MeN+pPXmnoIkqeeJZklSz1CQJPUMBUlSz1CQJPUMBUlS7/8DBb/ICysT5F8AAAAASUVORK5CYII=\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "#CNN\n", + "###Defining the Model" + ], + "metadata": { + "id": "kWlpCWdAr8d3" + } + }, + { + "cell_type": "code", + "source": [ + "# Model building\n", + "model=Sequential()\n", + "\n", + "\n", + "# We use a 3 x 3 convolution filter\n", + "# The number of output filters in the convolution is 64\n", + "# Convolutional layer with rectified linear unit activation\n", + "# img_rows=28 img_cols=28 and 1 for grayscale images\n", + "model.add(Conv2D(filters=64, kernel_size = (3,3), activation=\"relu\", input_shape=(28,28,1))) \n", + "model.add(Conv2D(filters=64, kernel_size = (3,3), activation=\"relu\"))\n", + "# Pooling is used to reduce the image size of width and height and it does is it pick the maximum value in a certain size of the window.\n", + "# Max pooling with a 2 x 2 window \n", + "model.add(MaxPooling2D(pool_size=(2,2),strides=(1,1)))\n", + "# Batch normalization is a layer that allows every layer of the network to do learning more independently. It is used to normalize the output of the previous layers.\n", + "# Implements regularisation\n", + "model.add(BatchNormalization())\n", + "\n", + "# We use a 3 x 3 convolution filter\n", + "# The number of output filters in the convolution is 128\n", + "# Convolutional layer with rectified linear unit activation\n", + "model.add(Conv2D(filters=128, kernel_size = (3,3), activation=\"relu\"))\n", + "model.add(Conv2D(filters=128, kernel_size = (3,3), activation=\"relu\"))\n", + "# Pooling is used to reduce the image size of width and height and it does is it pick the maximum value in a certain size of the window.\n", + "# Max pooling with a 2 x 2 window\n", + "model.add(MaxPooling2D(pool_size=(2,2),strides=(1,1)))\n", + "# Batch normalization is a layer that allows every layer of the network to do learning more independently. It is used to normalize the output of the previous layers.\n", + "# Implements regularisation\n", + "model.add(BatchNormalization()) \n", + "\n", + "# We use a 3 x 3 convolution filter\n", + "# The number of output filters in the convolution is 256\n", + "# Convolutional layer with rectified linear unit activation\n", + "model.add(Conv2D(filters=256, kernel_size = (3,3), activation=\"relu\"))\n", + "# Pooling is used to reduce the image size of width and height and it does is it pick the maximum value in a certain size of the window.\n", + "# Max pooling with a 2 x 2 window\n", + "model.add(MaxPooling2D(pool_size=(2,2),strides=(1,1)))\n", + "# Batch normalization is a layer that allows every layer of the network to do learning more independently. It is used to normalize the output of the previous layers.\n", + "# Implements regularisation\n", + "model.add(BatchNormalization())\n", + "\n", + "# Flatten since too many dimensions, we only want a classification output \n", + "model.add(Flatten())\n", + "# Adding the Dense layer with 512 units\n", + "model.add(Dense(512,activation=\"relu\"))\n", + "# Softmax to squash the matrix into output probabilities\n", + "model.add(Dense(10,activation=\"softmax\"))" + ], + "metadata": { + "id": "1L07EyQ0Yion" + }, + "execution_count": 10, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "##Compiling and training the model" + ], + "metadata": { + "id": "1nchSAeXHgEL" + } + }, + { + "cell_type": "code", + "source": [ + "# Compiling the model\n", + "# Using adam optimizer\n", + "model.compile(loss=\"categorical_crossentropy\", optimizer=\"adam\", metrics=[\"accuracy\"])\n", + "\n", + "num_epoch = 10\n", + "# Model training\n", + "history = model.fit(X_train, Y_train,\n", + " epochs=num_epoch,\n", + " verbose=1,\n", + " validation_data=(X_test, Y_test))\n", + "\n", + "#Printing loss and accuracy\n", + "test_loss, test_acc = model.evaluate(X_test, Y_test)\n", + "print(\"Loss: {0} - Acc: {1}\".format(test_loss, test_acc))" + ], + "metadata": { + "id": "nKEZ8cbO9JVV", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "78972048-28f4-446c-cb8f-fe3fc54d151e" + }, + "execution_count": 13, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Epoch 1/10\n", + "250/250 [==============================] - 6s 20ms/step - loss: 0.4184 - accuracy: 0.9794 - val_loss: 2.0862 - val_accuracy: 0.9655\n", + "Epoch 2/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.7292 - accuracy: 0.9783 - val_loss: 2.3143 - val_accuracy: 0.9560\n", + "Epoch 3/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.5109 - accuracy: 0.9837 - val_loss: 0.8341 - val_accuracy: 0.9775\n", + "Epoch 4/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.2521 - accuracy: 0.9905 - val_loss: 1.0141 - val_accuracy: 0.9710\n", + "Epoch 5/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.0879 - accuracy: 0.9948 - val_loss: 0.4874 - val_accuracy: 0.9845\n", + "Epoch 6/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.1018 - accuracy: 0.9942 - val_loss: 1.1091 - val_accuracy: 0.9665\n", + "Epoch 7/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.1998 - accuracy: 0.9916 - val_loss: 1.1618 - val_accuracy: 0.9710\n", + "Epoch 8/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.1621 - accuracy: 0.9924 - val_loss: 0.8817 - val_accuracy: 0.9815\n", + "Epoch 9/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.1626 - accuracy: 0.9940 - val_loss: 1.3372 - val_accuracy: 0.9685\n", + "Epoch 10/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.2807 - accuracy: 0.9925 - val_loss: 0.7609 - val_accuracy: 0.9800\n", + "63/63 [==============================] - 0s 6ms/step - loss: 0.7609 - accuracy: 0.9800\n", + "Loss: 0.76085364818573 - Acc: 0.9800000190734863\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Predicting the images\n", + "Printing the image along with its label (true value) and predicted value." + ], + "metadata": { + "id": "ml1Kna_DuJrL" + } + }, + { + "cell_type": "code", + "source": [ + "# Your code\n", + "X_test__ = X_test.reshape(X_test.shape[0], 28, 28)\n", + "y_pred = model.predict(X_test__) # Prediction the model\n", + "\n", + "fig, axis = plt.subplots(4, 4, figsize=(12, 14)) # plt.subplots returns a tuple containing a figure and axes objects\n", + "for i, ax in enumerate(axis.flat):\n", + " ax.imshow(X_test__[i], cmap='binary')\n", + " ax.set(title = f\"Real Number is {Y_test[i].argmax()}\\nPredict Number is {y_pred[i].argmax()}\");\n" + ], + "metadata": { + "id": "qioZul7_uiYq", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 820 + }, + "outputId": "8d4ade4c-3def-4072-8f3c-1aad9bd40d66" + }, + "execution_count": 12, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + } + ] +} \ No newline at end of file From 10fc34f4e0af1722213014ef289ef4982b1cfe79 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 22 Jun 2022 23:20:29 +0530 Subject: [PATCH 07/35] Delete test --- Assignment 3/test | 1 - 1 file changed, 1 deletion(-) delete mode 100644 Assignment 3/test diff --git a/Assignment 3/test b/Assignment 3/test deleted file mode 100644 index 8b13789..0000000 --- a/Assignment 3/test +++ /dev/null @@ -1 +0,0 @@ - From cbb01f29804922bbd881822d777a5a52730ace0c Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Fri, 15 Jul 2022 23:08:46 +0530 Subject: [PATCH 08/35] A4_200526 --- Final Task/A4_200526.ipynb | 1321 ++++++++++++++++++++++++++++++++++++ 1 file changed, 1321 insertions(+) create mode 100644 Final Task/A4_200526.ipynb diff --git a/Final Task/A4_200526.ipynb b/Final Task/A4_200526.ipynb new file mode 100644 index 0000000..7d3480a --- /dev/null +++ b/Final Task/A4_200526.ipynb @@ -0,0 +1,1321 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "A4_200526.ipynb", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "TPU", + "gpuClass": "standard" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "## Final Task:\n", + "This is your final evaluation for the project. As decided, we will be predicting images of people into three classes: `without_mask`, `mask_weared_incorrect` and `with_mask`. " + ], + "metadata": { + "id": "rtI19Rt-H7Uc" + } + }, + { + "cell_type": "code", + "source": [ + "import tensorflow as tf" + ], + "metadata": { + "id": "c2CiXcHQTbX8" + }, + "execution_count": 48, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Loading the dataset\n", + "Make a copy of the dataset given to you in your Google Drive (keep it outside, don't put it in any folder to avoid inconvenience). Ensure it is named as `Mask_Dataset` or change the path (the variable `data_dir`) accordingly." + ], + "metadata": { + "id": "QKDPyiZTIm1c" + } + }, + { + "cell_type": "code", + "source": [ + "# Mount Google Drive\n", + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "hNEMe7XsIjrK", + "outputId": "73346675-ee26-4377-e0cb-2ebd53615236" + }, + "execution_count": 49, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import pathlib\n", + "\n", + "path='/content/drive/MyDrive/Mask_Dataset/'\n", + "data_dir = pathlib.Path(path)\n", + "print(data_dir)" + ], + "metadata": { + "id": "8CXzo4MOJOl8", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "a03adde1-eec6-4312-f3ad-0ddd28fddb39" + }, + "execution_count": 50, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/drive/MyDrive/Mask_Dataset\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Know the Dataset\n", + "Most of the code is written for you as you aren't used to these libraries. You are to go through the documentation for your benefit." + ], + "metadata": { + "id": "YHPHkGyDKscK" + } + }, + { + "cell_type": "code", + "source": [ + "# Print image count\n", + "image_count = len(list(data_dir.glob('*/*.png')))\n", + "print(image_count)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "PzbSy-vXKjD-", + "outputId": "84c54bc3-d136-479d-c87a-f15926a45880" + }, + "execution_count": 51, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "9002\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Print Output Labels\n", + "import os\n", + "output_classes = os.listdir(data_dir)\n", + "print(output_classes)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rFHWFYj5NCVm", + "outputId": "42d0294f-4403-47bf-c70f-a455973b7764" + }, + "execution_count": 52, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "['mask_weared_incorrect', 'with_mask', 'without_mask']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Plot count of each ouput label\n", + "import matplotlib.pyplot as plt\n", + "\n", + "count=[]\n", + "for label in output_classes:\n", + " this_path=path+label\n", + " dir=pathlib.Path(this_path)\n", + " im_count=os.listdir(dir)\n", + " print(im_count) # list contains labels of all the images belonging to a particular class i.e. 'mask_weared_incorrect' or 'with_mask' or 'without_mask'\n", + " print(this_path+'/'+im_count[0]) # printing the exact path of a particular image\n", + " count.append(len(im_count))\n", + "\n", + "print(count)\n", + "\n", + "plt.bar(output_classes,count)\n", + "plt.title(\"Statistics\")\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 421 + }, + "id": "fESyMw90KaxN", + "outputId": "8d29abc0-94c0-4920-e7b7-f0af00cb2fd0" + }, + "execution_count": 53, + "outputs": [ + { + "output_type": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Check some sample images (Use of cv2)\n", + "import cv2\n", + "from google.colab.patches import cv2_imshow\n", + "\n", + "for label in output_classes:\n", + " this_path=path+label\n", + " dir=pathlib.Path(this_path)\n", + " im_count=os.listdir(dir)\n", + " image = this_path+'/'+im_count[8]\n", + " testing=cv2.imread(image) # 3D array containing the pixel values\n", + " cv2_imshow(testing)\n", + " print(\"\\n\")\n", + " print(label)\n", + " print(\"\\n\")\n" + ], + "metadata": { + "id": "HDSJ2Zk5a14s", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 656 + }, + "outputId": "0c600881-4789-4f88-89a6-b7e44149f12d" + }, + "execution_count": 54, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "image/png": 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\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "\n", + "without_mask\n", + "\n", + "\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Check shape of the images in your dataset. This will be helpful while specifying input_shape in your Transfer Learning Model\n", + "import random\n", + "for label in output_classes:\n", + " this_path=path+label\n", + " dir=pathlib.Path(this_path)\n", + " im_count=os.listdir(dir)\n", + " rand_no=random.randint(0,2994)\n", + " print(rand_no)\n", + " image = this_path+'/'+im_count[rand_no] #Checking the shape of 3 random images from the 3 different classes and we find all the images have the same shape (128,128,3)\n", + " testing=cv2.imread(image)\n", + " print(testing.shape)\n", + " print(label)\n", + " print('\\n')" + ], + "metadata": { + "id": "jWBEMC1FUfXS", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "5b55569d-6c6f-4eaa-da0f-d561956a4261" + }, + "execution_count": 55, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "71\n", + "(128, 128, 3)\n", + "mask_weared_incorrect\n", + "\n", + "\n", + "1909\n", + "(128, 128, 3)\n", + "with_mask\n", + "\n", + "\n", + "1784\n", + "(128, 128, 3)\n", + "without_mask\n", + "\n", + "\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Check if all the images have same shape, else you need to resize them to some common size\n", + "\n", + "# We maintain a flag variable so that if the value of the flag variable becomes true at any instant then we wiil find an image whose shape is diferent from (128,128,3)\n", + "flag=False\n", + "pixel=(128,128,3) # for comparison we contain a touple\n", + "\n", + "for label in output_classes:\n", + " this_path=path+label\n", + " dir=pathlib.Path(this_path)\n", + " im_count=os.listdir(dir)\n", + " for i in range(len(im_count)):\n", + " image = this_path+'/'+im_count[i] \n", + " testing=cv2.imread(image)\n", + " if testing.shape!=pixel:\n", + " flag=True\n", + "\n", + "if(flag==True):\n", + " print(\"Images have diffrent size\")\n", + "else:\n", + " print(\"Images have the same size\")\n", + "\n", + "# since flag=False hence all images have same size\n", + "\n", + "# The code provided as it is above in the template will help " + ], + "metadata": { + "id": "52BhBWRab5yc", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "3448e4dd-09b8-4d30-b231-7e54db7b9a85" + }, + "execution_count": 56, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Images have the same size\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Model Definition\n", + "Choose a model for Transfer Learning (You may also experment with multiple models and keep all of them in this notebook)" + ], + "metadata": { + "id": "zSoUXS1cRbnu" + } + }, + { + "cell_type": "code", + "source": [ + "from tensorflow.keras.layers import Input, Lambda, Dense, Flatten\n", + "from tensorflow.keras.models import Model\n", + "from tensorflow.keras.preprocessing import image\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow import keras" + ], + "metadata": { + "id": "QKZmIgXMTHfy" + }, + "execution_count": 57, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Choose and define base model\n", + "print(output_classes)\n", + "IMG_SIZE=(128,128,3)\n", + "\n", + "\n", + "base_model = keras.applications.ResNet50(\n", + " weights=\"imagenet\", # Load weights pre-trained on ImageNet.\n", + " input_shape=IMG_SIZE,\n", + " include_top=False, # Do not include the ImageNet classifier/ fully connected layer at the top.\n", + ") \n", + "\n" + ], + "metadata": { + "id": "9xWLUibHRNGj", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "b51bf9c9-624b-4047-89b0-b8a666f36d7b" + }, + "execution_count": 58, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "['mask_weared_incorrect', 'with_mask', 'without_mask']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Print base model summary and have a look at the layers\n", + "base_model.summary()" + ], + "metadata": { + "id": "J3TwB_GLd7BU", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "e8780c60-3677-4084-d902-9860ba2b29f1" + }, + "execution_count": 59, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model: \"resnet50\"\n", + "__________________________________________________________________________________________________\n", + " Layer (type) Output Shape Param # Connected to \n", + "==================================================================================================\n", + " input_4 (InputLayer) [(None, 128, 128, 3 0 [] \n", + " )] \n", + " \n", + " conv1_pad (ZeroPadding2D) (None, 134, 134, 3) 0 ['input_4[0][0]'] \n", + " \n", + " conv1_conv (Conv2D) (None, 64, 64, 64) 9472 ['conv1_pad[0][0]'] \n", + " \n", + " conv1_bn (BatchNormalization) (None, 64, 64, 64) 256 ['conv1_conv[0][0]'] \n", + " \n", + " conv1_relu (Activation) (None, 64, 64, 64) 0 ['conv1_bn[0][0]'] \n", + " \n", + " pool1_pad (ZeroPadding2D) (None, 66, 66, 64) 0 ['conv1_relu[0][0]'] \n", + " \n", + " pool1_pool (MaxPooling2D) (None, 32, 32, 64) 0 ['pool1_pad[0][0]'] \n", + " \n", + " conv2_block1_1_conv (Conv2D) (None, 32, 32, 64) 4160 ['pool1_pool[0][0]'] \n", + " \n", + " conv2_block1_1_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block1_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block1_1_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block1_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv2_block1_2_conv (Conv2D) (None, 32, 32, 64) 36928 ['conv2_block1_1_relu[0][0]'] \n", + " \n", + " conv2_block1_2_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block1_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block1_2_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block1_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv2_block1_0_conv (Conv2D) (None, 32, 32, 256) 16640 ['pool1_pool[0][0]'] \n", + " \n", + " conv2_block1_3_conv (Conv2D) (None, 32, 32, 256) 16640 ['conv2_block1_2_relu[0][0]'] \n", + " \n", + " conv2_block1_0_bn (BatchNormal (None, 32, 32, 256) 1024 ['conv2_block1_0_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block1_3_bn (BatchNormal (None, 32, 32, 256) 1024 ['conv2_block1_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block1_add (Add) (None, 32, 32, 256) 0 ['conv2_block1_0_bn[0][0]', \n", + " 'conv2_block1_3_bn[0][0]'] \n", + " \n", + " conv2_block1_out (Activation) (None, 32, 32, 256) 0 ['conv2_block1_add[0][0]'] \n", + " \n", + " conv2_block2_1_conv (Conv2D) (None, 32, 32, 64) 16448 ['conv2_block1_out[0][0]'] \n", + " \n", + " conv2_block2_1_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block2_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block2_1_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block2_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv2_block2_2_conv (Conv2D) (None, 32, 32, 64) 36928 ['conv2_block2_1_relu[0][0]'] \n", + " \n", + " conv2_block2_2_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block2_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block2_2_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block2_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv2_block2_3_conv (Conv2D) (None, 32, 32, 256) 16640 ['conv2_block2_2_relu[0][0]'] \n", + " \n", + " conv2_block2_3_bn (BatchNormal (None, 32, 32, 256) 1024 ['conv2_block2_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block2_add (Add) (None, 32, 32, 256) 0 ['conv2_block1_out[0][0]', \n", + " 'conv2_block2_3_bn[0][0]'] \n", + " \n", + " conv2_block2_out (Activation) (None, 32, 32, 256) 0 ['conv2_block2_add[0][0]'] \n", + " \n", + " conv2_block3_1_conv (Conv2D) (None, 32, 32, 64) 16448 ['conv2_block2_out[0][0]'] \n", + " \n", + " conv2_block3_1_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block3_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block3_1_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block3_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv2_block3_2_conv (Conv2D) (None, 32, 32, 64) 36928 ['conv2_block3_1_relu[0][0]'] \n", + " \n", + " conv2_block3_2_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block3_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block3_2_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block3_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv2_block3_3_conv (Conv2D) (None, 32, 32, 256) 16640 ['conv2_block3_2_relu[0][0]'] \n", + " \n", + " conv2_block3_3_bn (BatchNormal (None, 32, 32, 256) 1024 ['conv2_block3_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block3_add (Add) (None, 32, 32, 256) 0 ['conv2_block2_out[0][0]', \n", + " 'conv2_block3_3_bn[0][0]'] \n", + " \n", + " conv2_block3_out (Activation) (None, 32, 32, 256) 0 ['conv2_block3_add[0][0]'] \n", + " \n", + " conv3_block1_1_conv (Conv2D) (None, 16, 16, 128) 32896 ['conv2_block3_out[0][0]'] \n", + " \n", + " conv3_block1_1_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block1_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block1_1_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block1_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block1_2_conv (Conv2D) (None, 16, 16, 128) 147584 ['conv3_block1_1_relu[0][0]'] \n", + " \n", + " conv3_block1_2_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block1_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block1_2_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block1_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block1_0_conv (Conv2D) (None, 16, 16, 512) 131584 ['conv2_block3_out[0][0]'] \n", + " \n", + " conv3_block1_3_conv (Conv2D) (None, 16, 16, 512) 66048 ['conv3_block1_2_relu[0][0]'] \n", + " \n", + " conv3_block1_0_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block1_0_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block1_3_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block1_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block1_add (Add) (None, 16, 16, 512) 0 ['conv3_block1_0_bn[0][0]', \n", + " 'conv3_block1_3_bn[0][0]'] \n", + " \n", + " conv3_block1_out (Activation) (None, 16, 16, 512) 0 ['conv3_block1_add[0][0]'] \n", + " \n", + " conv3_block2_1_conv (Conv2D) (None, 16, 16, 128) 65664 ['conv3_block1_out[0][0]'] \n", + " \n", + " conv3_block2_1_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block2_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block2_1_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block2_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block2_2_conv (Conv2D) (None, 16, 16, 128) 147584 ['conv3_block2_1_relu[0][0]'] \n", + " \n", + " conv3_block2_2_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block2_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block2_2_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block2_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block2_3_conv (Conv2D) (None, 16, 16, 512) 66048 ['conv3_block2_2_relu[0][0]'] \n", + " \n", + " conv3_block2_3_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block2_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block2_add (Add) (None, 16, 16, 512) 0 ['conv3_block1_out[0][0]', \n", + " 'conv3_block2_3_bn[0][0]'] \n", + " \n", + " conv3_block2_out (Activation) (None, 16, 16, 512) 0 ['conv3_block2_add[0][0]'] \n", + " \n", + " conv3_block3_1_conv (Conv2D) (None, 16, 16, 128) 65664 ['conv3_block2_out[0][0]'] \n", + " \n", + " conv3_block3_1_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block3_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block3_1_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block3_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block3_2_conv (Conv2D) (None, 16, 16, 128) 147584 ['conv3_block3_1_relu[0][0]'] \n", + " \n", + " conv3_block3_2_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block3_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block3_2_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block3_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block3_3_conv (Conv2D) (None, 16, 16, 512) 66048 ['conv3_block3_2_relu[0][0]'] \n", + " \n", + " conv3_block3_3_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block3_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block3_add (Add) (None, 16, 16, 512) 0 ['conv3_block2_out[0][0]', \n", + " 'conv3_block3_3_bn[0][0]'] \n", + " \n", + " conv3_block3_out (Activation) (None, 16, 16, 512) 0 ['conv3_block3_add[0][0]'] \n", + " \n", + " conv3_block4_1_conv (Conv2D) (None, 16, 16, 128) 65664 ['conv3_block3_out[0][0]'] \n", + " \n", + " conv3_block4_1_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block4_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block4_1_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block4_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block4_2_conv (Conv2D) (None, 16, 16, 128) 147584 ['conv3_block4_1_relu[0][0]'] \n", + " \n", + " conv3_block4_2_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block4_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block4_2_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block4_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block4_3_conv (Conv2D) (None, 16, 16, 512) 66048 ['conv3_block4_2_relu[0][0]'] \n", + " \n", + " conv3_block4_3_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block4_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block4_add (Add) (None, 16, 16, 512) 0 ['conv3_block3_out[0][0]', \n", + " 'conv3_block4_3_bn[0][0]'] \n", + " \n", + " conv3_block4_out (Activation) (None, 16, 16, 512) 0 ['conv3_block4_add[0][0]'] \n", + " \n", + " conv4_block1_1_conv (Conv2D) (None, 8, 8, 256) 131328 ['conv3_block4_out[0][0]'] \n", + " \n", + " conv4_block1_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block1_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block1_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block1_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block1_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block1_1_relu[0][0]'] \n", + " \n", + " conv4_block1_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block1_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block1_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block1_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block1_0_conv (Conv2D) (None, 8, 8, 1024) 525312 ['conv3_block4_out[0][0]'] \n", + " \n", + " conv4_block1_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block1_2_relu[0][0]'] \n", + " \n", + " conv4_block1_0_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block1_0_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block1_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block1_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block1_add (Add) (None, 8, 8, 1024) 0 ['conv4_block1_0_bn[0][0]', \n", + " 'conv4_block1_3_bn[0][0]'] \n", + " \n", + " conv4_block1_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block1_add[0][0]'] \n", + " \n", + " conv4_block2_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block1_out[0][0]'] \n", + " \n", + " conv4_block2_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block2_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block2_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block2_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block2_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block2_1_relu[0][0]'] \n", + " \n", + " conv4_block2_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block2_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block2_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block2_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block2_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block2_2_relu[0][0]'] \n", + " \n", + " conv4_block2_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block2_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block2_add (Add) (None, 8, 8, 1024) 0 ['conv4_block1_out[0][0]', \n", + " 'conv4_block2_3_bn[0][0]'] \n", + " \n", + " conv4_block2_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block2_add[0][0]'] \n", + " \n", + " conv4_block3_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block2_out[0][0]'] \n", + " \n", + " conv4_block3_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block3_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block3_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block3_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block3_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block3_1_relu[0][0]'] \n", + " \n", + " conv4_block3_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block3_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block3_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block3_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block3_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block3_2_relu[0][0]'] \n", + " \n", + " conv4_block3_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block3_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block3_add (Add) (None, 8, 8, 1024) 0 ['conv4_block2_out[0][0]', \n", + " 'conv4_block3_3_bn[0][0]'] \n", + " \n", + " conv4_block3_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block3_add[0][0]'] \n", + " \n", + " conv4_block4_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block3_out[0][0]'] \n", + " \n", + " conv4_block4_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block4_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block4_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block4_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block4_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block4_1_relu[0][0]'] \n", + " \n", + " conv4_block4_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block4_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block4_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block4_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block4_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block4_2_relu[0][0]'] \n", + " \n", + " conv4_block4_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block4_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block4_add (Add) (None, 8, 8, 1024) 0 ['conv4_block3_out[0][0]', \n", + " 'conv4_block4_3_bn[0][0]'] \n", + " \n", + " conv4_block4_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block4_add[0][0]'] \n", + " \n", + " conv4_block5_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block4_out[0][0]'] \n", + " \n", + " conv4_block5_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block5_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block5_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block5_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block5_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block5_1_relu[0][0]'] \n", + " \n", + " conv4_block5_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block5_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block5_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block5_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block5_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block5_2_relu[0][0]'] \n", + " \n", + " conv4_block5_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block5_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block5_add (Add) (None, 8, 8, 1024) 0 ['conv4_block4_out[0][0]', \n", + " 'conv4_block5_3_bn[0][0]'] \n", + " \n", + " conv4_block5_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block5_add[0][0]'] \n", + " \n", + " conv4_block6_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block5_out[0][0]'] \n", + " \n", + " conv4_block6_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block6_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block6_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block6_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block6_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block6_1_relu[0][0]'] \n", + " \n", + " conv4_block6_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block6_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block6_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block6_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block6_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block6_2_relu[0][0]'] \n", + " \n", + " conv4_block6_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block6_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block6_add (Add) (None, 8, 8, 1024) 0 ['conv4_block5_out[0][0]', \n", + " 'conv4_block6_3_bn[0][0]'] \n", + " \n", + " conv4_block6_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block6_add[0][0]'] \n", + " \n", + " conv5_block1_1_conv (Conv2D) (None, 4, 4, 512) 524800 ['conv4_block6_out[0][0]'] \n", + " \n", + " conv5_block1_1_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block1_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block1_1_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block1_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv5_block1_2_conv (Conv2D) (None, 4, 4, 512) 2359808 ['conv5_block1_1_relu[0][0]'] \n", + " \n", + " conv5_block1_2_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block1_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block1_2_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block1_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv5_block1_0_conv (Conv2D) (None, 4, 4, 2048) 2099200 ['conv4_block6_out[0][0]'] \n", + " \n", + " conv5_block1_3_conv (Conv2D) (None, 4, 4, 2048) 1050624 ['conv5_block1_2_relu[0][0]'] \n", + " \n", + " conv5_block1_0_bn (BatchNormal (None, 4, 4, 2048) 8192 ['conv5_block1_0_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block1_3_bn (BatchNormal (None, 4, 4, 2048) 8192 ['conv5_block1_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block1_add (Add) (None, 4, 4, 2048) 0 ['conv5_block1_0_bn[0][0]', \n", + " 'conv5_block1_3_bn[0][0]'] \n", + " \n", + " conv5_block1_out (Activation) (None, 4, 4, 2048) 0 ['conv5_block1_add[0][0]'] \n", + " \n", + " conv5_block2_1_conv (Conv2D) (None, 4, 4, 512) 1049088 ['conv5_block1_out[0][0]'] \n", + " \n", + " conv5_block2_1_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block2_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block2_1_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block2_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv5_block2_2_conv (Conv2D) (None, 4, 4, 512) 2359808 ['conv5_block2_1_relu[0][0]'] \n", + " \n", + " conv5_block2_2_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block2_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block2_2_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block2_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv5_block2_3_conv (Conv2D) (None, 4, 4, 2048) 1050624 ['conv5_block2_2_relu[0][0]'] \n", + " \n", + " conv5_block2_3_bn (BatchNormal (None, 4, 4, 2048) 8192 ['conv5_block2_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block2_add (Add) (None, 4, 4, 2048) 0 ['conv5_block1_out[0][0]', \n", + " 'conv5_block2_3_bn[0][0]'] \n", + " \n", + " conv5_block2_out (Activation) (None, 4, 4, 2048) 0 ['conv5_block2_add[0][0]'] \n", + " \n", + " conv5_block3_1_conv (Conv2D) (None, 4, 4, 512) 1049088 ['conv5_block2_out[0][0]'] \n", + " \n", + " conv5_block3_1_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block3_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block3_1_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block3_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv5_block3_2_conv (Conv2D) (None, 4, 4, 512) 2359808 ['conv5_block3_1_relu[0][0]'] \n", + " \n", + " conv5_block3_2_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block3_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block3_2_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block3_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv5_block3_3_conv (Conv2D) (None, 4, 4, 2048) 1050624 ['conv5_block3_2_relu[0][0]'] \n", + " \n", + " conv5_block3_3_bn (BatchNormal (None, 4, 4, 2048) 8192 ['conv5_block3_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block3_add (Add) (None, 4, 4, 2048) 0 ['conv5_block2_out[0][0]', \n", + " 'conv5_block3_3_bn[0][0]'] \n", + " \n", + " conv5_block3_out (Activation) (None, 4, 4, 2048) 0 ['conv5_block3_add[0][0]'] \n", + " \n", + "==================================================================================================\n", + "Total params: 23,587,712\n", + "Trainable params: 23,534,592\n", + "Non-trainable params: 53,120\n", + "__________________________________________________________________________________________________\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# As we're using Transfer Learning, you do not need to train all the layers. Freeze all of the layers or train some layers (experiment)\n", + "\n", + "base_model.trainable = False # Freeze the base_model" + ], + "metadata": { + "id": "F_Heq3C1eKd-" + }, + "execution_count": 60, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Append Fully connected/custom Conv2D/Dropout/MaxPooling layers to the base model\n", + "inputs = keras.Input(shape=IMG_SIZE)\n", + "x = inputs\n", + "x = base_model(x, training=False)\n", + "x = keras.layers.Flatten()(x)\n", + "x = keras.layers.Dense(512)(x)\n", + "x = keras.layers.Dropout(0.2)(x) " + ], + "metadata": { + "id": "MKx1EtUJea6D" + }, + "execution_count": 61, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Add the final output layer\n", + "outputs = keras.layers.Dense(3, activation=\"softmax\")(x)\n", + "model = keras.Model(inputs, outputs)" + ], + "metadata": { + "id": "q6I3oTTNgP8L" + }, + "execution_count": 62, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Print your model's summary\n", + "model.summary()" + ], + "metadata": { + "id": "6aVQocJwgN5r", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "45d3ed02-8e9e-4e78-b05e-fe812fa721a4" + }, + "execution_count": 63, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model: \"model_1\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " input_5 (InputLayer) [(None, 128, 128, 3)] 0 \n", + " \n", + " resnet50 (Functional) (None, 4, 4, 2048) 23587712 \n", + " \n", + " flatten_1 (Flatten) (None, 32768) 0 \n", + " \n", + " dense_2 (Dense) (None, 512) 16777728 \n", + " \n", + " dropout_1 (Dropout) (None, 512) 0 \n", + " \n", + " dense_3 (Dense) (None, 3) 1539 \n", + " \n", + "=================================================================\n", + "Total params: 40,366,979\n", + "Trainable params: 16,779,267\n", + "Non-trainable params: 23,587,712\n", + "_________________________________________________________________\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Compile you model (set the parameters like loss/optimizers/metrics)\n", + "model.compile(\n", + " optimizer=keras.optimizers.Adam(\n", + " learning_rate=0.001),\n", + " loss=keras.losses.categorical_crossentropy,\n", + " metrics=[\"accuracy\"],\n", + ")\n" + ], + "metadata": { + "id": "qdC71fUBgXAg" + }, + "execution_count": 64, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Data Augmentation and Pre-processing\n", + "Augment the data. You may also try dyanamic augmentation using [`tf.keras.preprocessing.image.ImageDataGenerator `](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/image/ImageDataGenerator). \n", + "You may use [`tf.keras.applications.vgg16.preprocess_input`](https://www.tensorflow.org/api_docs/python/tf/keras/applications/vgg16/preprocess_input)(or some other base model's utility) for pre-processing (can also be passed as a parameter to `ImageDataGenerator`)" + ], + "metadata": { + "id": "RdUSMLggifex" + } + }, + { + "cell_type": "code", + "source": [ + "# from keras.applications.vgg16 import preprocess_input # Change according to your base model\n", + "# from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", + "from keras_preprocessing.image import ImageDataGenerator\n", + "\n", + "label_datagen = ImageDataGenerator( rescale = 1./255, validation_split=0.2)\n", + "# Your code " + ], + "metadata": { + "id": "DBscSsvkgn39" + }, + "execution_count": 65, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "" + ], + "metadata": { + "id": "-k4VPgwEDPvO" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Training and Validation Dataset \n", + "Split the dataset into training and validation (We'll be looking for your validation accuracy, assume we are using complete dataset for now). \n", + "\n", + "Hint: `flow_from_directory` used with `ImageDataGenerator` will simplify things for you." + ], + "metadata": { + "id": "IcKPxCpOkcuG" + } + }, + { + "cell_type": "code", + "source": [ + "from keras.backend import categorical_crossentropy\n", + "# Your code\n", + "train_label_generator = label_datagen.flow_from_directory(\n", + " directory=path,\n", + " target_size=(128,128),\n", + " subset=\"training\",\n", + " class_mode='categorical',\n", + " batch_size=32)\n", + "validation_label_generator = label_datagen.flow_from_directory(\n", + " directory=path,\n", + " target_size=(128,128),\n", + " subset=\"validation\",\n", + " class_mode='categorical',\n", + " batch_size=32)" + ], + "metadata": { + "id": "sB7hb3ybkJRq", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "589c3513-4c18-4468-fd67-923757dcf8a4" + }, + "execution_count": 68, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Found 7204 images belonging to 3 classes.\n", + "Found 1798 images belonging to 3 classes.\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Training \n", + "Train your model for some epochs and plot the graph. Try and save your best model. Experiment with the parameters of `model.fit`" + ], + "metadata": { + "id": "ZZPsjpT1mp3z" + } + }, + { + "cell_type": "code", + "source": [ + "from keras.callbacks import ModelCheckpoint\n", + "\n", + "history = model.fit(train_label_generator, validation_data=validation_label_generator, epochs=10, workers=4, batch_size=32)\n", + "# ModelCheckpoint is helpful to save the model giving best results (brownie points)" + ], + "metadata": { + "id": "Gs2X14MBmu7W", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "0d4e9f03-5e37-4dd2-e776-dc2bf627573d" + }, + "execution_count": 69, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Epoch 1/10\n", + "226/226 [==============================] - 505s 2s/step - loss: 1.4955 - accuracy: 0.6390 - val_loss: 0.5426 - val_accuracy: 0.7864\n", + "Epoch 2/10\n", + "226/226 [==============================] - 481s 2s/step - loss: 0.6392 - accuracy: 0.7658 - val_loss: 0.5708 - val_accuracy: 0.7592\n", + "Epoch 3/10\n", + "226/226 [==============================] - 487s 2s/step - loss: 0.5296 - accuracy: 0.8001 - val_loss: 0.4819 - val_accuracy: 0.8220\n", + "Epoch 4/10\n", + "226/226 [==============================] - 483s 2s/step - loss: 0.4557 - accuracy: 0.8261 - val_loss: 0.7411 - val_accuracy: 0.7230\n", + "Epoch 5/10\n", + "226/226 [==============================] - 482s 2s/step - loss: 0.4044 - accuracy: 0.8484 - val_loss: 0.3754 - val_accuracy: 0.8637\n", + "Epoch 6/10\n", + "226/226 [==============================] - 483s 2s/step - loss: 0.5058 - accuracy: 0.8155 - val_loss: 0.5950 - val_accuracy: 0.7631\n", + "Epoch 7/10\n", + "226/226 [==============================] - 485s 2s/step - loss: 0.4716 - accuracy: 0.8250 - val_loss: 0.5747 - val_accuracy: 0.7647\n", + "Epoch 8/10\n", + "226/226 [==============================] - 488s 2s/step - loss: 0.3934 - accuracy: 0.8522 - val_loss: 0.3938 - val_accuracy: 0.8615\n", + "Epoch 9/10\n", + "226/226 [==============================] - 485s 2s/step - loss: 0.3528 - accuracy: 0.8660 - val_loss: 0.3761 - val_accuracy: 0.8504\n", + "Epoch 10/10\n", + "226/226 [==============================] - 484s 2s/step - loss: 0.4041 - accuracy: 0.8493 - val_loss: 0.3887 - val_accuracy: 0.8626\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Evaluate the performance" + ], + "metadata": { + "id": "FTvRa1FXri4R" + } + }, + { + "cell_type": "code", + "source": [ + "# Plot training & validation loss/accuracy values\n", + "print(history.history.keys())\n", + "# \"Accuracy\"\n", + "plt.plot(history.history['accuracy'])\n", + "plt.plot(history.history['val_accuracy'])\n", + "plt.title('model accuracy')\n", + "plt.ylabel('accuracy')\n", + "plt.xlabel('epoch')\n", + "plt.legend(['train', 'validation'], loc='upper left')\n", + "plt.show()\n", + "# \"Loss\"\n", + "plt.plot(history.history['loss'])\n", + "plt.plot(history.history['val_loss'])\n", + "plt.title('model loss')\n", + "plt.ylabel('loss')\n", + "plt.xlabel('epoch')\n", + "plt.legend(['train', 'validation'], loc='upper left')\n", + "plt.show()" + ], + "metadata": { + "id": "cTH6flzcrck0", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 590 + }, + "outputId": "c8da33a4-0b3a-455a-c920-6924d8a5aad3" + }, + "execution_count": 72, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "dict_keys(['loss', 'accuracy', 'val_loss', 'val_accuracy'])\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "from sklearn.metrics import classification_report, confusion_matrix\n", + "import numpy as np\n", + "\n", + "validation_classes = []\n", + "validation_images = []\n", + "for i in range( -(-validation_label_generator.samples // validation_label_generator.batch_size)):\n", + " batch = validation_label_generator.next()\n", + " expected = np.argmax(batch[1], axis=1) \n", + " validation_classes.extend(expected)\n", + " validation_images.extend(batch[0])\n", + "validation_classes = np.array(validation_classes)\n", + "validation_images = np.array(validation_images)\n", + "Y_pred = model.predict(validation_images)\n", + "y_pred = np.argmax(Y_pred, axis=1)\n", + "\n", + "\n", + "print(classification_report(validation_classes, y_pred, \n", + "\t\ttarget_names = ['mask_weared_incorrect', 'with_mask', 'without_mask']))\n", + "# print classification report" + ], + "metadata": { + "id": "fJ-ZtU84r66Z", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "34a18c7d-2786-445b-a7db-04ad9ceed34e" + }, + "execution_count": 73, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " precision recall f1-score support\n", + "\n", + "mask_weared_incorrect 0.84 0.91 0.87 602\n", + " with_mask 0.80 0.88 0.84 598\n", + " without_mask 0.98 0.80 0.88 598\n", + "\n", + " accuracy 0.86 1798\n", + " macro avg 0.87 0.86 0.86 1798\n", + " weighted avg 0.87 0.86 0.86 1798\n", + "\n" + ] + } + ] + } + ] +} \ No newline at end of file From b79c93782cae545f81a027a55aeed0f8f62c4215 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Thu, 27 Apr 2023 20:31:03 +0530 Subject: [PATCH 09/35] Update README.md --- README.md | 8 -------- 1 file changed, 8 deletions(-) diff --git a/README.md b/README.md index 984e75d..752646d 100644 --- a/README.md +++ b/README.md @@ -1,14 +1,6 @@ # ICG-Computer-Vision-using-Tensorflow This repository is for submitting assignments for the project **Computer Vision using Tensorflow** offered through the SnT Council by the **IITK Consulting Group**. -## Instructions for submission: -- `Fork` this repository. A copy would be created and you would be redirected. -- In the `Fork`, add your submission for the respective assignment. The simplest way to do this would be to go to the folder and do `Add file`->`Upload files` and select the submission from your local system. -- Once the file has been uploaded, create a new `pull request` to mark your submission (Click on `Contribute`->`Open pull request`). -- In the description, please mention your IITK Roll Number. -- Create a pull request **only during the submission window**. -- Before the next assignment, fetch upstream to sync with the main repository. - ## Mentors: [Aryan Vora](https://github.com/aryan-vora23) [Mandar Wayal](https://github.com/mandar7-git) From 409aa17b82db7b10995715eb4a7085bd24abfe71 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:00:37 +0530 Subject: [PATCH 10/35] Delete Solutions directory --- .../CV_with_TF_Assignment_1_Solution.ipynb | 429 ------------------ Solutions/README.md | 1 - 2 files changed, 430 deletions(-) delete mode 100644 Solutions/CV_with_TF_Assignment_1_Solution.ipynb delete mode 100644 Solutions/README.md diff --git a/Solutions/CV_with_TF_Assignment_1_Solution.ipynb b/Solutions/CV_with_TF_Assignment_1_Solution.ipynb deleted file mode 100644 index 647616d..0000000 --- a/Solutions/CV_with_TF_Assignment_1_Solution.ipynb +++ /dev/null @@ -1,429 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 1, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.scatter(X[:,0],y)\n", - "# Your code here" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "efe83ae0-b78c-4c88-bf38-7845aa081829" - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 2 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" 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DU6UAIN50mVceJzevSe9cKQa23CkASGWu+8C7LJjqbF5kNdUApJIq+fq6Bd0u88qp5uZFmtAVgFQyKl8/7grYV06ed/bfTE9N4jPve9NYk3KVqxOdzYucSwEgUa7TNaPy9XULuoPuxPTSqTNjjS2m7RdEQqIUUILaWLY/qiWybkHX5ZYJMW2/IBISBYAEtTEhjsrX1+2Zd9kBpFWqIuNRCihBVSbEuimiUS2RdbtsXHYAxbb9QmiWfxeWjp/ABInTZpjJvOU1FwoACRo1IY6bMx9WRK3bM+9y++t3vnENvnnwFwOPy3ArfxdOW+/uq6qj5IFm4d9ud3Z21ubn530PIxqDCqxTkxNn2x637jwwMEDMTE/h4bltnY7TRaG67P1MkDhjlv0CrmHKPrtlXf9OiFskD5nZbNnjugJI0Kiz8VBy5q7aMsvGrbPZ0Ub9zFVHSZsCQKKGTa5VcuYx3f2p7P300971g4367FRHSZu6gDI0qqMntrs/DXo/g+hsdrVhn512+0yfAkCGRm2LEFtf/cr3M0EOfJ7OZlfr/+yAlz87bZWRB6WAMjUsRRRKjaCO/vdTVgTX2exg2iIjXwoAskrsffUpbeMcUy1G4qMAIKu47NHvQtkkGftEqT2OpG2qAcgqMW2dHFvBuo7YajESH10BZGCcNEIsZ9CubisZohhrMRIXBYDEpZ5GcD1JhpRzj70WI+FTCihxqacR6u5COkxo6aQu75gmeVIASFzqaQSXk2RowTKmWozESSmgxKWeRnDZ8hlisIylFiNxUgBIXGwtneNwNUmmHixFVmqUAiL5AZJHSJ4hObvisdtILpB8iuS1fce3F8cWSM41eX0ZTWmE6pRzl9w0vQJ4HMANAP6l/yDJzQBuBPAmAJcCeIDkG4qHvwTgGgCLAB4hudfMnmg4Dhki9DRCKJ03Ka0gFqmiUQAws6MAwNWbb10HYLeZvQTgWZILAC4vHlsws2eKf7e7eK4CQKZCa1MNPViKuNRWF9AMgOf6vl4sjpUdX4XkDpLzJOePHTvW0jDFt9A6b0RyMvIKgOQDAF434KHbzexe90PqMbNdAHYBvVtCtvU64leInTciuRgZAMzs6jG+7xKAdX1fry2OYchxyZDrzptQ6gkiMWgrBbQXwI0kLyC5EcAmAD8B8AiATSQ3kjwfvULx3pbGIBFw2XkT2kpeV/YcXsLWnQewce4+bN15IPr3I+Fo2gb6fpKLAN4O4D6S+wDAzI4AuBu94u5/ALjZzE6b2SkAtwDYB+AogLuL50qmXLapplhPSDWoSRhoFn56fXZ21ubn530PIyo5pkI2zt2HQb/NBPDszvd0PRwntu48MDBFNjM9hYfntnkYkcSE5CEzmy17XHsBJSjXs0aXG8OFQkVyaZMCQIJSTIVU0eVK3q7y8ikGNQmHAkCCcj1r7Grbiy6vsLQ9hbRJm8ElKOdNzbpYydvlXci0PYW0SQEgQTnsAOpT11dY2p5C2qIUUIK0A2i7lJeXVOgKIFE6axxt3FZZXWFJKhQAJEtNdiFVXl5SoQAQuJVnqe984xo89OQxTTwNNS3k6gpLUqAAELBBZ6nfPPiLs4/73js/Zrm2yor0UxE4YIPOUlfKYYFXG1TIFVEACFrVs1GdtdanBVYiiaeAYt8QrWxB16DnST0q5IokHABCu9fsOAa1G66ks9bxqZAruUs2BZTChmiDFnT97ZXrtcBLRJxI9goglS4PnaWKSFuSvQJQl4eIyHDJBoDUuzx0n1gRaSrZFFDKXR4pFLhFxL9kAwCQbv68y/3oQxF7S69IiJIOAKlKpcBdla54RNqRbA0gZbkVuFNo6RUJkQJAhFIvcK+U2xWPSFeUAopQygXuQXze41i1B0mZAkCkUi1wD+LrDlyqPUjqlAKS4Pm6x7FqD5I6XQFIFHxc8aj2IKnTFYBIidy6rSQ/CgAiJXLrtpL8NAoAJO8g+STJx0h+h+R032O3kVwg+RTJa/uOby+OLZCca/L6Im3yVXsQ6QrNbPx/TP4lgANmdorkPwCAmX2a5GYA3wJwOYBLATwA4A3FP/sZgGsALAJ4BMBNZvbEsNeZnZ21+fn5sccpeVDLpsi5SB4ys9myxxsVgc3s+31fHgTwV8XfrwOw28xeAvAsyQX0ggEALJjZM8XgdhfPHRoAREZRy6ZIfS5rAB8B8L3i7zMAnut7bLE4VnZ8FZI7SM6TnD927JjDYUqK1LIpUt/IKwCSDwB43YCHbjeze4vn3A7gFIC7XA3MzHYB2AX0UkCuvq+kSS2bIvWNDABmdvWwx0l+GMB7AVxlLxcUlgCs63va2uIYhhwXGZvP7SJEYtW0C2g7gE8BeJ+Zvdj30F4AN5K8gORGAJsA/AS9ou8mkhtJng/gxuK5Io2oZVOkvqYrgb8I4AIA+0kCwEEz+zszO0LybvSKu6cA3GxmpwGA5C0A9gGYAHCnmR1pOAaR7DbIE3GhURtoV9QGKiJS36g2UK0EFhHJlAKAiEimFABERDKlACAikikFABGRTGVzQxhtFCYicq4sAoA2ChMRWS2LFJA2ChMRWS2LAKCNwkREVssiAOjeriIiq2URALRRmIjIalkUgbVRmIjIalkEAKAXBDThi4i8LIsUkIiIrKYAICKSqWxSQCL9tDJcRAFAMqSV4SI9SgFJdrQyXKRHAUCyo5XhIj0KAJIdrQwX6VEAkOxoZbhIj4rAkh2tDBfpUQCQLGlluIhSQCIi2VIAEBHJlAKAiEimFABERDKlACAikimame8xjETyGICf+x7HCBcB+I3vQXQkl/eq95meXN7r8vt8vZmtKXtSFAEgBiTnzWzW9zi6kMt71ftMTy7vter7VApIRCRTCgAiIplSAHBnl+8BdCiX96r3mZ5c3mul96kagIhIpnQFICKSKQUAEZFMKQA4RPIOkk+SfIzkd0hO+x5TG0h+gOQRkmdIJtdSR3I7yadILpCc8z2etpC8k+QLJB/3PZY2kVxH8iGSTxS/tx/3Paa2kHwlyZ+Q/O/ivX522PMVANzaD+DNZvbnAH4G4DbP42nL4wBuAPBD3wNxjeQEgC8BeBeAzQBuIrnZ76ha8zUA230PogOnAHzSzDYDuBLAzQn/TF8CsM3M/gLAWwFsJ3ll2ZMVABwys++b2aniy4MA1vocT1vM7KiZpXoH9csBLJjZM2b2JwC7AVzneUytMLMfAvgf3+Nom5k9b2b/Vfz99wCOAkjyZhDW84fiy8niT2mnjwJAez4C4Hu+ByG1zQB4ru/rRSQ6WeSI5AYAWwD82O9I2kNyguSjAF4AsN/MSt+r7ghWE8kHALxuwEO3m9m9xXNuR++y864ux+ZSlfcpEhOSrwbwbQCfMLPf+R5PW8zsNIC3FjXI75B8s5kNrPMoANRkZlcPe5zkhwG8F8BVFvEii1HvM2FLANb1fb22OCYRIzmJ3uR/l5nd43s8XTCz4yQfQq/OMzAAKAXkEMntAD4F4H1m9qLv8chYHgGwieRGkucDuBHAXs9jkgZIEsBXARw1s8/7Hk+bSK5Z7j4kOQXgGgBPlj1fAcCtLwL4MwD7ST5K8p99D6gNJN9PchHA2wHcR3Kf7zG5UhTxbwGwD71i4d1mdsTvqNpB8lsAfgTgMpKLJD/qe0wt2QrggwC2Ff9fPkry3b4H1ZJLADxE8jH0Tmb2m9m/lz1ZW0GIiGRKVwAiIplSABARyZQCgIhIphQAREQypQAgIpIpBQARkUwpAIiIZOr/Acpz+AQgOlP4AAAAAElFTkSuQmCC\n" 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1nWojz01naGV9PDl2Nu2T4+g7yqWSssj5OxW6FLFrKZI+nhw7G/xzLhvDUqmM3+T8nQp54krlZBxSjnX6dXU27SPlWzaGpVLqleX6nQo5ttDFFEnZvZdzuaqbVKeDP7qB8ZswQp24UjoZh5JjnX5dBH8kr4+9sjIpDHpL3T0Z53pVN6nO5vzRHbnl2psYDE0pz57zwDcuoOePLOTSK2uqXjxUnj32ncJSuXoBwR+JyT04NDUYGiLPHvLENMnJuI8TqVJG2gfJSCm1MammBkNDlCLGLpmN/fpYiuCPZHQhODRVLx4izx67Sif262Mp0j6YSBPpmUmCQ1k7pHgle01VJoUoRZykSifk/3NXq4RyRfBHZU3lbqsGh7J23PX1H0kunXnJg7ZtXE3Wi9cd9K56Ygr9/0zJbloI/qisqUHNt75mne479PMl69ivFBzK2nHm3MWr4Lc9+zTVyqSqJ6bQ/899nEiVMoI/Kmsid/vwkTk9eHhuSeA3Se954/BAWuX1yCsvqHJiamoJa4J9GhjwRWVNDGqW9TJd0uPPnqrcjrrPxYJhn9klZllVYKEcwR+VNTHDc5JeZlk7Vq8yrb7Egratr8o+X0k6555dCS4uRvBHZU0stzDJ1URZO3a/9/Xa/b7XZ7MURMoWP9/F20gOyq0EFxfr7A3ckZcmbo6OMDbv3F96M3mT9NNdf9t2c1BBL2/gjnws1pLPnzkX5GblCKuPNzrpA4I/ohpc0kFayCcv5ugJ/GnowiqeXbvtZAgEf0TVhSUdui63JbWX68KaUU2gzh9RdXm9l9xXKB2Uc31+F287GQLBH1F1db0Xli9eWZsnxi53MOog7YOoupBPLkM6a7i20zAMWJcj+COq3PPJw9DbHK7tE2NXOxh1kfZBdDnnk4fpajorhLZPjCwoV47gDzSA5YuHi3Fi7GIHo65aaR8ze5+ZHTWzl8xsetm+u81s1syOm9lNA9u3F9tmzWxnndcHUtXVdFYIpGHSULfn/7SkWyX92+BGM9sq6TZJr5V0laTHzOzVxe4vSLpR0klJT5jZPnd/pmY7gOjKKli+t/O62M1KDmmYNNQK/u5+TJLs4oWfbpa0193/KOmnZjYr6dpi36y7P1/83t7iuQR/ZI3SzmpIw8TXVLXPlKQTA49PFtuGbb+Ime0wsxkzmzl1avia7kAKKO1Ebkb2/M3sMUmvKtl1j7s/Er5JC9x9j6Q90sKqnk29DhACpZ3Izcjg7+43TPDvzknaMPB4fbFNK2xHZF1ajqBtlHYiN02lffZJus3MXmZmmyVtkfRDSU9I2mJmm83sUi0MCu9rqA2oYNJZl6yWuIAKFuSmbqnnu83spKS3SNpvZgckyd2PSnpACwO5/yXpDnc/5+5nJd0p6YCkY5IeKJ6LyCbJWbNa4gWUdiI33MkLkia7W9O2XQdLUx1Ta9dQ4tgA0nKoijt5YaRJFr9ikLM9XGUhNII/JE2Ws+7zaoltj3VQSorQCP6QNFnOuq+DnDF64VxlITQWdsN5VWdd9nWafow7Q1FKitAI/qilj9P0Y/TCWSUUoZH2ASqKMdZBKSlCo+ePqHIsX4zVC+/jVRaaQ/BHNLmuhNnXsQ50C8Ef0cQYOA0ldC980iugHK+ckAaCP6KhfHHBpFdAuV45IQ0M+CKaPk8SGzTpBC4mfqEOgj+i6eskseUmvQLiygl1kPZBNKkNnMbKn086gYuJX6iD4I+oUilfjJk/n7R0lIlfqIO0D6C4+fNJJ3Ax8Qt10PMHFD9/PukVUCpXTsgPPX9AVB6hfwj+gKg8WsQ9mfuDtA+g9CqPYmDSWL8Q/IFC3/PnOS+30UVNlx4T/AFIij/ojQvauAoj5w9AEoPeKWmj9JjgD0ASg94paeMqjLQPkJmmcsEMeqejjaU7CP5ARprOBfd90DsVbSzdQdoHyAjLOPdDG0t30PMHMkJFTn80fRVGzx/ICBU5CIXgD2SEihyEUiv4m9luM3vWzJ4ys2+Y2dqBfXeb2ayZHTezmwa2by+2zZrZzjqvD/QNyzgjFHP3yX/Z7G8kHXT3s2b2z5Lk7p80s62S7pd0raSrJD0m6dXFr/1E0o2STkp6QtLt7v7MSq8zPT3tMzMzE7cTiCnWHcIAMzvs7tNl+2oN+Lr7twceHpL03uLnmyXtdfc/Svqpmc1q4UQgSbPu/nzRsL3Fc1cM/kCuWCwNqQqZ8/+QpG8VP09JOjGw72Sxbdj2i5jZDjObMbOZU6dOBWwm0B5KM5GqkT1/M3tM0qtKdt3j7o8Uz7lH0llJ94VqmLvvkbRHWkj7hPp3gTZRmolUjQz+7n7DSvvN7IOS3iHper8wgDAnacPA09YX27TCdqBz2pimD0yibrXPdkmfkPQud//DwK59km4zs5eZ2WZJWyT9UAsDvFvMbLOZXSrptuK5QCdRmolU1Z3h+3lJL5P0qJlJ0iF3/wd3P2pmD2hhIPespDvc/Zwkmdmdkg5IWiXpXnc/WrMNQLJYLA2pqlXq2RZKPQGgupVKPZnhCwA9RPAHgB4i+ANADxH8AaCHCP4A0EPczAVJY1E0oBkEfySLRdGA5pD2QbJYFA1oDsEfyWJRNKA5BH8ki/vVAs0h+CNZLIoGNIcBXySLRdGA5hD8kbRbrpki2AMNIO0DAD1E8AeAHiLtA3QIM6IxLoI/0BHMiEYVpH2AjmBGNKog+AMdwYxoVEHwBzqCGdGoguAPdAQzolEFA75ARzAjGlUQ/IEOYUY0xkXaBwB6iOAPAD1E8AeAHiL4A0APEfwBoIfM3WO3YSQzOyXpZ7HbUbhc0q9jNyIi3n+/37/EZ5DT+/8Ld19XtiOL4J8SM5tx9+nY7YiF99/v9y/xGXTl/ZP2AYAeIvgDQA8R/KvbE7sBkfH+0ffPoBPvn5w/APQQPX8A6CGCPwD0EMG/IjPbbWbPmtlTZvYNM1sbu01tM7P3mdlRM3vJzLIveRuXmW03s+NmNmtmO2O3p21mdq+ZvWhmT8duSwxmtsHMHjezZ4rv/0djt6kOgn91j0r6S3f/K0k/kXR35PbE8LSkWyV9N3ZD2mJmqyR9QdLbJG2VdLuZbY3bqtZ9RdL22I2I6Kykj7v7VklvlnRHzt8Bgn9F7v5tdz9bPDwkaX3M9sTg7sfcvW93Bb9W0qy7P+/uf5K0V9LNkdvUKnf/rqTfxG5HLO7+grv/b/Hz7yUdk5TtzRMI/vV8SNK3YjcCrZiSdGLg8UllfOCjHjPbJOkaST+I25LJcSevEmb2mKRXley6x90fKZ5zjxYuA+9rs21tGeczAPrIzF4h6UFJH3P338Vuz6QI/iXc/YaV9pvZByW9Q9L13tGJEqM+gx6ak7Rh4PH6Yht6xMxWayHw3+fuD8VuTx2kfSoys+2SPiHpXe7+h9jtQWuekLTFzDab2aWSbpO0L3Kb0CIzM0lflnTM3T8buz11Efyr+7ykP5f0qJk9aWb/GrtBbTOzd5vZSUlvkbTfzA7EblPTikH+OyUd0MJA3wPufjRuq9plZvdL+r6kq83spJl9OHabWrZN0vslXVcc+0+a2dtjN2pSLO8AAD1Ezx8AeojgDwA9RPAHgB4i+ANADxH8AaCHCP4A0EMEfwDoof8HMMnt77wUsA8AAAAASUVORK5CYII=\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " self.lr=learning_rate\n", - " self.n_iters=n_iters\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " # Gradient Descent\n", - " n_samples, n_features = X.shape\n", - "\n", - " # init parameters\n", - " self.weights = np.zeros(n_features)\n", - " self.bias = 0\n", - "\n", - " # gradient descent\n", - " for _ in range(self.n_iters):\n", - " y_predicted = np.dot(X, self.weights) + self.bias\n", - " # compute gradients\n", - " dw = (1 / n_samples) * np.dot(X.T, (y_predicted - y))\n", - " db = (1 / n_samples) * np.sum(y_predicted - y)\n", - "\n", - " # update parameters\n", - " self.weights -= self.lr * dw\n", - " self.bias -= self.lr * db\n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " y_approximated = np.dot(X, self.weights) + self.bias\n", - " return y_approximated" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 7, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression(learning_rate=0.01, n_iters=1000) # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train, y_train)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 8, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " return np.mean((y_true - y_pred) ** 2)\n", - "\n", - "from sklearn.metrics import r2_score\n", - "\n", - "mse = mean_squared_error(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "f49d65da-888b-4de7-a25b-d5fa878d0045" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 390.6026570894989\n", - "Accuracy: 0.9630728962969953\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Solutions/README.md b/Solutions/README.md deleted file mode 100644 index 322cf77..0000000 --- a/Solutions/README.md +++ /dev/null @@ -1 +0,0 @@ -This folder contains the solutions to the assignments. The solutions would be available here after the deadline. Please go through this and compare it to your subimssion. From a8a95d2081d5436e2e9fb2be7f5107400f650823 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:04:44 +0530 Subject: [PATCH 11/35] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 752646d..2b3a76b 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ # ICG-Computer-Vision-using-Tensorflow -This repository is for submitting assignments for the project **Computer Vision using Tensorflow** offered through the SnT Council by the **IITK Consulting Group**. +This repository contains the project **Computer Vision using Tensorflow** offered through the SnT Council by the **IITK Consulting Group** in which various ML algorithms are used to build a **3-Class Face Mask Detection model**. ## Mentors: [Aryan Vora](https://github.com/aryan-vora23) From 2635da373dff857f7e35647dfba6a49a198c0601 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:07:26 +0530 Subject: [PATCH 12/35] Delete 200914__Assignment_1.ipynb --- Assignment 1/200914__Assignment_1.ipynb | 297 ------------------------ 1 file changed, 297 deletions(-) delete mode 100644 Assignment 1/200914__Assignment_1.ipynb diff --git a/Assignment 1/200914__Assignment_1.ipynb b/Assignment 1/200914__Assignment_1.ipynb deleted file mode 100644 index a45e670..0000000 --- a/Assignment 1/200914__Assignment_1.ipynb +++ /dev/null @@ -1,297 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "200914_ Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 2, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "" - ], - "metadata": { - "id": "8sY-H0XoQ5hh" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.rcParams[\"figure.figsize\"] = (12,7)\n", - "x1=X[:,0]\n", - "x2=X[:,1]\n", - "x3=X[:,2]\n", - "x4=X[:,3]\n", - "x5=X[:,4]\n", - "plt.subplot(2, 3, 1)\n", - "plt.scatter(x1, y, c =\"blue\")\n", - "plt.subplot(2, 3, 2)\n", - "plt.scatter(x2, y, c =\"magenta\")\n", - "plt.subplot(2, 3, 3)\n", - "plt.scatter(x3, y, c =\"green\")\n", - "plt.subplot(2, 3, 4)\n", - "plt.scatter(x4, y, c =\"black\")\n", - "plt.subplot(2, 3, 5)\n", - "plt.scatter(x5, y, c =\"red\")\n", - "\n", - " \n", - "# To show the plot\n", - "plt.show()\n" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 428 - }, - "outputId": "185ba1d3-7f40-43d6-882b-49822b457647" - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " def __init__(self, learning_rate=0.0005, n_iters=22000, bias=np.random.random(), weight=np.random.rand(np. size(X, 1))):\n", - " self.learning_rate=learning_rate\n", - " self.n_iters=n_iters\n", - " self.bias=bias\n", - " self.weight=weight\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " num_records,num_features=X.shape\n", - " for iter in range(self.n_iters):\n", - " predictions_y=np.matmul(X,self.weight)+self.bias\n", - " grad = np.zeros(num_features)\n", - " error=y-predictions_y\n", - " for feat in range(num_features):\n", - " grad[feat] = (-2/num_records)*np.sum(np.multiply(X[:,feat],error))\n", - " deltab=-2*np.sum(error)/num_records \n", - " self.bias=self.bias-self.learning_rate*deltab\n", - " self.weight=self.weight-self.learning_rate*grad\n", - " \n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " def predict(self, X):\n", - " predict=np.matmul(X,self.weight)+self.bias\n", - " return predict" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train,y_train)\n", - "\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 5, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " error=y_true-y_pred\n", - " n=y_true.shape[0]\n", - " mse =(1/n)*(np.sum(np.multiply(error, error)))\n", - " return mse\n", - " \n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " #1-ssr/sst\n", - " error=y_true-y_pred\n", - " mean=np.mean(y_true)\n", - " ssr =np.sum(np.multiply(error,error)) # sum squared regression (SSR)\n", - " sst=np.sum(np.multiply(y_true-mean,y_true-mean)) # total sum of squares (SST)\n", - " r2 = 1-ssr/sst\n", - " return r2\n", - " \n", - "\n", - "mse = mean_squared_error(y_test,predictions) \n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) \n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "74d3de71-63d5-449f-d53c-128037cdede7" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 391.0954827735972\n", - "Accuracy: 0.9630263051517128\n" - ] - } - ] - } - ] -} \ No newline at end of file From 8b00195b93abe1ed16b62e6bdaa07ee010d6f95d Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:07:39 +0530 Subject: [PATCH 13/35] Delete 201138_Assignment_1.ipynb --- Assignment 1/201138_Assignment_1.ipynb | 281 ------------------------- 1 file changed, 281 deletions(-) delete mode 100644 Assignment 1/201138_Assignment_1.ipynb diff --git a/Assignment 1/201138_Assignment_1.ipynb b/Assignment 1/201138_Assignment_1.ipynb deleted file mode 100644 index da8bb5c..0000000 --- a/Assignment 1/201138_Assignment_1.ipynb +++ /dev/null @@ -1,281 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "[SELF] CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 40, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.subplot(2, 3, 1)\n", - "plt.scatter(X[:,0], y, c ='blue')\n", - "plt.subplot(2, 3, 2)\n", - "plt.scatter(X[:,1], y, c ='green')\n", - "plt.subplot(2, 3, 3)\n", - "plt.scatter(X[:,2], y, c ='red')\n", - "plt.subplot(2, 3, 4)\n", - "plt.scatter(X[:,3], y, c ='violet')\n", - "plt.subplot(2, 3, 5)\n", - "plt.scatter(X[:,4], y, c ='black')\n", - "plt.show()\n" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "3a1b4f4d-9b9e-457a-d64d-e2f6b33feb23" - }, - "execution_count": 41, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " # Your code here\n", - " self.lr = learning_rate\n", - " self.n_iters = n_iters\n", - " self.bias = None\n", - " self.weights = None\n", - " \n", - "\n", - " def fit(self, X, y):\n", - " n_samples, n_features = X.shape\n", - " self.bias = 0\n", - " self.weights = np.zeros(n_features)\n", - "\n", - " for _ in range(self.n_iters): \n", - " y_predicted = np.dot(X, self.weights) + self.bias\n", - " # computing the gradient \n", - " dw = (-2 / n_samples) * np.dot(X.T, (-y_predicted + y))\n", - " db = (-2 / n_samples) * np.sum(-y_predicted + y)\n", - " # update the current parameters\n", - " self.weights -= self.lr * dw\n", - " self.bias -= self.lr * db\n", - " \n", - " \n", - " def predict(self, X):\n", - " # Code goes here\n", - " linear_model = np.dot(X, self.weights) + self.bias\n", - " return linear_model\n", - "\n" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 51, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() \n", - "\n", - "# Call the fit method on the object to train \n", - "regressor.fit(X_train,y_train)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test)" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 52, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " sum=0\n", - " m_sample = len(y_true)\n", - " diff = y_true-y_pred;\n", - " mse = (1/m_sample)*(np.sum(np.multiply(diff, diff)))\n", - " return mse \n", - "\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " ssr=0\n", - " sst=0\n", - " y_mean=0\n", - " m_sample = len(y_true)\n", - " diff1 = y_true-y_pred;\n", - " diff2 = y_true -y_mean\n", - " y_mean = np.mean(y_true)\n", - " ssr = np.sum(np.multiply(diff1,diff1))\n", - " sst=np.sum(np.multiply(diff2,diff2))\n", - " r2 = 1-(ssr/sst)\n", - " return r2\n", - "mse = mean_squared_error(y_test,predictions)\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions)\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "614def5d-732d-42a8-d625-2d4787390e79" - }, - "execution_count": 53, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 659.4416574156699\n", - "Accuracy: 0.9450480374102799\n" - ] - } - ] - } - ] -} \ No newline at end of file From b770203813d41cd8b8ef76e6ba2e955a30e66047 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:26:57 +0530 Subject: [PATCH 14/35] Delete Assignment 1 directory --- Assignment 1/A1_200014.ipynb | 415 ------------ Assignment 1/A1_200081.ipynb | 311 --------- Assignment 1/A1_200132.ipynb | 282 -------- Assignment 1/A1_200148.ipynb | 329 --------- Assignment 1/A1_200155.ipynb | 276 -------- Assignment 1/A1_200171.ipynb | 1 - Assignment 1/A1_200244.ipynb | 383 ----------- Assignment 1/A1_200418.ipynb | 288 -------- Assignment 1/A1_200426.ipynb | 277 -------- Assignment 1/A1_200487.ipynb | 622 ----------------- Assignment 1/A1_200526.ipynb | 322 --------- Assignment 1/A1_200532.ipynb | 289 -------- Assignment 1/A1_200537.ipynb | 340 ---------- Assignment 1/A1_200551.ipynb | 1 - 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"cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "RB2d1J1f1CF7" - }, - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "a_S80lf6H4Xv" - }, - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "RtfsiLS2lSNE", - "outputId": "34abfc93-00ef-4d97-fe0b-bba7b379a3d5" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(80, 5)" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X_train.shape" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Zj4rrRXGJBXy" - }, - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "id": "zxfi8dkBJOUi", - "outputId": "36da82de-2237-4c7a-ef2f-d4c3af420e94" - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Variation of x columns with y.\n", - "\n", - "for i in range(1,5):\n", - " plt.scatter(X_train[:,i-1:i],y_train)\n", - "\n", - "\n", - "\n", - "# Your code here" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Uvu0DfOapTSr", - "outputId": "b3a66cb0-e692-44fa-c031-4f4c7ef6a152" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(80, 1)" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import numpy as np\n", - "# weight=np.random.rand((X_train.shape[1],1));\n", - "# bias=np.ones((y_train.shape[0],y_train.shape[1]));\n", - "\n", - "weight=np.random.rand(X_train.shape[1],1);\n", - "bias=np.random.rand(X_train.shape[0],1);\n", - "bias.shape" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r7vndSBAJceF" - }, - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "b4I9Z3epNvBM" - }, - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "kBtUcOVnJu-I" - }, - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "id": "dGnFNPJx3I28" - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " # Your code here\n", - "\n", - " # self.weight=np.random.rand((X_train.shape[1],1));\n", - "\n", - " # self.bias=np.ones((y_train.shape[0],y_train.shape[1]));\n", - "\n", - " self.weight=np.random.rand(X_train.shape[1],1);\n", - " self.bias=np.random.rand(X_train.shape[0],1);\n", - "\n", - "\n", - "\n", - "\n", - " # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, x, y):\n", - " # Gradient Descent code goes here\n", - " \n", - " w=self.weight;\n", - " b=self.bias;\n", - "\n", - " def CostFunction(x,y,w,b):\n", - " \n", - " cost = np.sum((((x.dot(weight) + bias) - y) ** 2) / (2*len(y)))\n", - " return cost\n", - " # For every iteration\n", - " \n", - " def GradientDescent(x, y, w, b, learning_rate, n_iters):\n", - " cost_list = [0] * n_iters\n", - " for epoch in range(n_iters):\n", - " z = x.dot(w) + b\n", - " loss = z - y\n", - " weight_gradient = x.T.dot(loss) / len(y)\n", - " bias_gradient = np.sum(loss) / len(y)\n", - " w = w - learning_rate*weight_gradient\n", - " b = b - learning_rate*bias_gradient\n", - " cost = CostFunction(x, y, w, b)\n", - " cost_list[epoch] = cost\n", - " \n", - " return w, b, cost_list\n", - "\n", - "\n", - "\n", - " # Computing the gradient\n", - " # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " # Code goes here\n", - "\n", - " return np.dot(X_train,self.weight)+ self.bias\n", - "\n", - " pass # Uncomment this when you're done with this function" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "EvyInkTKPn7W" - }, - "source": [ - "### Initializing, Training & Predictions" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "id": "nvItUpAkHTiv" - }, - "outputs": [], - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train,y_train)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_train) # pass appropriate part of dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "_-Ch0MWVweVE", - "outputId": "5d40d134-6ea0-4c2c-e647-9cac5330edd3" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(20,)" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "tzK6cq8eRD4Q" - }, - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "WqkrvDzcRF5m", - "outputId": "d8ef6b33-68b9-490e-f097-98b641b271d2" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MSE: 11550.865625513232\n", - "Accuracy: 0.003021769072843905\n" - ] - } - ], - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " from sklearn.metrics import mean_squared_error\n", - " \n", - " return mean_squared_error(y_true, y_pred)\n", - "\n", - " pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " from sklearn.metrics import r2_score\n", - " return r2_score(y_true, y_pred)\n", - "\n", - " return \n", - "\n", - " pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_train,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_train,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "rbXiKeW7wGs7" - }, - "outputs": [], - "source": [] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [] - }, - "interpreter": { - "hash": "d32dd9972e4becc079854756227bbaf57600491c52d25499cfd0dde1c0f41dcc" - }, - "kernelspec": { - "display_name": "Python 3.9.6 64-bit", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.6" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/Assignment 1/A1_200081.ipynb b/Assignment 1/A1_200081.ipynb deleted file mode 100644 index 85c013d..0000000 --- a/Assignment 1/A1_200081.ipynb +++ /dev/null @@ -1,311 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 10, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "for i in range(5):\n", - " plt.scatter(X_train[:,i], y_train)" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "a3363e32-4dff-417c-aba0-b100ac5c3365" - }, - "execution_count": 123, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - " theta = None\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.00001, n_iters=1000):\n", - " self.learning_rate = learning_rate\n", - " self.n_iters = n_iters\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " # Gradient Descent code goes here\n", - " self.theta = np.zeros((X.shape[1], 1))\n", - " m = y.size\n", - " costarray = []\n", - " for i in range(self.n_iters):\n", - " y_pred = np.dot(X, self.theta)\n", - "\n", - " cost = (1/(2*m))*np.sum(np.square(y_pred - y))\n", - "\n", - " \n", - "\n", - " d_theta = (1/m)*np.dot(X.T, y_pred - y)\n", - "\n", - " self.theta = self.theta - self.learning_rate*d_theta\n", - "\n", - " costarray.append(cost)\n", - "\n", - " if(i%(self.n_iters/20) == 0):\n", - " print(\"Cost is :\", cost)\n", - " \n", - " return self.theta\n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " return np.dot(X, self.theta)\n", - "\n", - " # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 127, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression(0.00001,100000) # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "regressor.fit(X_train, y_train)\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "3cd0d322-afc3-486e-a24b-68866151393f" - }, - "execution_count": 134, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Cost is : 5891.273399125076\n", - "Cost is : 5379.899027746527\n", - "Cost is : 4915.964351750445\n", - "Cost is : 4494.903798471735\n", - "Cost is : 4112.60853466565\n", - "Cost is : 3765.3789961104385\n", - "Cost is : 3449.8825276375665\n", - "Cost is : 3163.115566404673\n", - "Cost is : 2902.3698657711475\n", - "Cost is : 2665.202314189628\n", - "Cost is : 2449.407953971601\n", - "Cost is : 2252.9958493989575\n", - "Cost is : 2074.167493120552\n", - "Cost is : 1911.2974746977548\n", - "Cost is : 1762.9161660765892\n", - "Cost is : 1627.6942061358359\n", - "Cost is : 1504.4285907035533\n", - "Cost is : 1392.0301959125522\n", - "Cost is : 1289.512581801116\n", - "Cost is : 1195.9819399406117\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " y_true = np.reshape(y_true, (20,1)) \n", - " m = y.size\n", - " cost = (1/m)*np.sum(np.square(y_pred - y_true))\n", - " return cost\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " y_true = np.reshape(y_true, (20,1)) \n", - " mn = np.mean(y_true)\n", - " ssr = np.sum(np.square(y_true - y_pred))\n", - " sst = np.sum(np.square(y_true - mn))\n", - " return 1 - (ssr/sst)\n", - " \n", - "\n", - "mse = mean_squared_error(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "6b7a6484-20dd-4320-f37d-865f63a8feb9" - }, - "execution_count": 145, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 448.5153643771113\n", - "Accuracy: 0.7879894942835788\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_200132.ipynb b/Assignment 1/A1_200132.ipynb deleted file mode 100644 index de2aec8..0000000 --- a/Assignment 1/A1_200132.ipynb +++ /dev/null @@ -1,282 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A1_200132", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 1, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "for i in range(0,5):\n", - " plt.scatter(X[:,1],y)\n", - " plt.show\n", - "# Your code here" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "18f86128-4b6d-4622-bc8f-43f687e64645" - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " self.learning_rate = learning_rate\n", - " self.n_iters = n_iters\n", - " self.weights = None\n", - " self.bias = None\n", - " \n", - "\n", - " # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " n_samples, n_features = X.shape\n", - " # init parameters\n", - " self.weights = np.zeros(n_features)\n", - " self.bias = 0\n", - " # Gradient Descent code goes here\n", - " for _ in range(self.n_iters):\n", - " y_predicted = np.dot(X, self.weights) + self.bias\n", - " \n", - " dw = (1 / n_samples) * np.dot(X.T, (y_predicted - y))\n", - " db = (1 / n_samples) * np.sum(y_predicted - y)\n", - " self.weights -= self.learning_rate * dw\n", - " self.bias -= self.learning_rate * db\n", - "\n", - " # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " y_fin = np.dot(X, self.weights) + self.bias\n", - " return y_fin\n", - "\n", - "\n", - " \n", - "\n" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 3, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "\n", - "regressor = LinearRegression(learning_rate=0.01, n_iters=1000)# You may pass the custom parameters or let the default values take it ahead\n", - "regressor.fit(X_train, y_train)\n", - "\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " return np.mean((y_true - y_pred) ** 2) # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " corr_matrix = np.corrcoef(y_true, y_pred)\n", - " corr = corr_matrix[0, 1]\n", - " return corr ** 2 # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "4ca01759-263e-47a4-dbaa-6f9cd07f1326" - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 390.6026570894989\n", - "Accuracy: 0.9637788781894968\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_200148.ipynb b/Assignment 1/A1_200148.ipynb deleted file mode 100644 index 0fe8f69..0000000 --- a/Assignment 1/A1_200148.ipynb +++ /dev/null @@ -1,329 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 1, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "for i in range(5):\n", - " plt.scatter(X_train[:,i],y_train)\n", - " plt.scatter(X_test[:,i],y_test)\n", - " plt.show()\n", - "# Your code here" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "780f37b8-509f-475e-ac79-529514054e31" - }, - "execution_count": 10, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " self.lr=0.001\n", - " self.n_iters=1000\n", - " self.bias = None\n", - " # Your code here\n", - "\n", - "\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - "\n", - " # Gradient Descent code goes here\n", - " n_samples, n_features = X.shape\n", - "\n", - " # init parameters\n", - " self.weights = np.zeros(n_features)\n", - " self.bias = 0\n", - "\n", - " for _ in range(self.n_iters):\n", - " y_predicted = np.dot(X, self.weights) + self.bias\n", - " # compute gradients\n", - " dw = (1 / n_samples) * np.dot(X.T, (y_predicted - y))\n", - " db = (1 / n_samples) * np.sum(y_predicted - y)\n", - " self.weights -= self.lr * dw\n", - " self.bias -= self.lr * db\n", - "\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " y_approximated = np.dot(X, self.weights) + self.bias\n", - " return y_approximated\n", - " # Code goes here\n" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 2, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train, y_train)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 6, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " return np.mean((y_true - y_pred) ** 2)\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " corr_matrix = np.corrcoef(y_true, y_pred)\n", - " corr = corr_matrix[0, 1]\n", - " return corr ** 2\n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "cca1279d-a487-4b38-e8a3-9d812770b3db" - }, - "execution_count": 7, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 2121.4167953235974\n", - "Accuracy: 0.96927381691859\n" - ] - } - ] - } - ] -} diff --git a/Assignment 1/A1_200155.ipynb b/Assignment 1/A1_200155.ipynb deleted file mode 100644 index 8095e25..0000000 --- a/Assignment 1/A1_200155.ipynb +++ /dev/null @@ -1,276 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A1_200155", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 2, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.scatter(X[:,0],y)\n", - "plt.scatter(X[:,1],y)\n", - "plt.scatter(X[:,2],y)\n", - "plt.scatter(X[:,3],y)\n", - "plt.scatter(X[:,4],y)\n", - "plt.show()\n", - "# Your code here" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "1c6fcb7b-81b0-42e2-b574-070a55b672fb" - }, - "execution_count": 13, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " self.learning_rate = learning_rate\n", - " self.n_iters = n_iters\n", - " self.bias = None\n", - " self.weights = None\n", - "\n", - " def fit(self, X, y):\n", - " n_samples, n_features = X.shape\n", - " self.bias = 0\n", - " self.weights = np.zeros(n_features)\n", - " \n", - " for _ in range(self.n_iters):\n", - " y_predicted = np.dot(X, self.weights) + self.bias\n", - " dw = (-2 / n_samples) * np.dot(X.T, (-y_predicted + y))\n", - " db = (-2 / n_samples) * np.sum(-y_predicted + y)\n", - " self.weights -= self.learning_rate * dw\n", - " self.bias -= self.learning_rate * db\n", - "\n", - " def predict(self, X):\n", - " linear_model = np.dot(X, self.weights) + self.bias\n", - " return linear_model\n", - " # pass # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 14, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train,y_train)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 15, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " sum=0\n", - " m_sample = len(y_true)\n", - " difference = y_true-y_pred\n", - " mse = (1/m_sample)*(np.sum(np.multiply(difference, difference)))\n", - " return mse\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " SSR=0\n", - " SST=0\n", - " y_mean=0\n", - " m_sample = len(y_true)\n", - " dif1 = y_true-y_pred\n", - " dif2 = y_true -y_mean\n", - " y_mean = np.mean(y_true)\n", - " SSR = np.sum(np.multiply(dif1,dif1))\n", - " SST=np.sum(np.multiply(dif2,dif2))\n", - " r2 = 1-(SSR/SST)\n", - " return r2\n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "67629fa1-21ab-4ba7-e606-88ed2f4e1a41" - }, - "execution_count": 17, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 659.4416574156699\n", - "Accuracy: 0.9450480374102799\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_200171.ipynb b/Assignment 1/A1_200171.ipynb deleted file mode 100644 index c3d4635..0000000 --- a/Assignment 1/A1_200171.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"RB2d1J1f1CF7"},"source":["### **Aim** \n","The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch."]},{"cell_type":"markdown","metadata":{"id":"a_S80lf6H4Xv"},"source":["### Generating the dataset \n","Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n"]},{"cell_type":"code","execution_count":3,"metadata":{"executionInfo":{"elapsed":1011,"status":"ok","timestamp":1655462968739,"user":{"displayName":"Anurag Singh","userId":"10745855479500948138"},"user_tz":-330},"id":"yX0zqXcHIQHP"},"outputs":[],"source":["from sklearn import datasets\n","from sklearn.model_selection import train_test_split\n","\n","# Generate the data\n","X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n","\n","# Split the data\n","X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)"]},{"cell_type":"markdown","metadata":{"id":"Zj4rrRXGJBXy"},"source":["### Visualizing the data \n","Use `matplotlib` to visualize the given data."]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":1694,"status":"ok","timestamp":1655463104820,"user":{"displayName":"Anurag Singh","userId":"10745855479500948138"},"user_tz":-330},"id":"zxfi8dkBJOUi","outputId":"ecad37fa-13f3-4ff7-9150-900504f8ec5b"},"outputs":[{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{"needs_background":"light"}},{"output_type":"display_data","data":{"text/plain":["
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leZ8HEvoFcP36r9/RQsAHwb27Lu+R7KtldKed7zK85NPnlkDza9xpC16jlocbfqspLaO79twaWoc9wHvBVYB2ya2R8RPiw1tylhm0yuOH04vYdwBvCUi1k11/6bXONKeVc1nX8ufW24M5vpMu+XRVv3nEXF1jjHNWESMSzoZuIbedNzzpksabVDWN197qrTTTLs6HbXLaxgsXeK4UdLZwKX0nZcjIlZP/5DiRMRVwFVVvHbZ0g5lNH3Io0p1O2KoWzzT8ZeVbkszVHXjFJsjIl5ZTEj5afpQlRWrbsMtdYtnmCxJrikJ0XpGHqqaWEFu1jZFD7dk3Vk2bfgn7TBdlZM3rBhDp+NKepakT06sjZD0CUnPKiM4syIVOR12Jms82jo91+tV2idNjeM84G7g2OT6nwD/BBxTVFBmZchSGyrj6KGttSrXQ9onTY1jTUTsO2xbHbnG0W5ljZvPpPbQtHpF0VzjaJY8puP+WtKhEfHt5AmXAL/OK0CzmShz3NxHD6Pr6rTltkqTOP4bcH5S1xDwM+CEQqMyG6LMQvJMh1q8s7S2SjOrag3wMkm/k1z/ReFRmQ1R5ri5jx7MtpemxvGfgDOBQ4EAvg18pIqWI1m5xlEfRYxxe9zcrBh5nI/jOuAmtj8fxysi4lW5RVkQJ456SFModhIwq488zsexW0R8NCI2JJePAbvmF6K13bB5/DNZ85BnG/mqWtKbNVWaxHGtpOMk7ZBcjqXXZNBaKu8d6bCFbVkXiI16AqWinsusK9IkjncCF9JrcPgb4CLgzyU9JsmF8pYpYkc6UVw+etnYlMNUWVdM57kS2auazbJLM6vqmWUEYvVQ1DTXQVNTs85aynNGlVc1m2WX9gyAayLiV5LeCowBn46IHxYenZUuzY60iEJ2ljUPeU6PXXLIIt5wzAF859b1HHyQ111kNfG3MHfuHDZv3uLJDR2RZlbVWuBlwEuBLwNfBI6NiJcXHt2IPKtqZgYlhra10mjb+ylT/+9ugn+H7ZBHy5HxiAhJy4BzI+JLkt6RX4hWN4O+/Tet9fcw09U4PDV4uP7f3YQ2/E3YcGmK449JOp1eV9wrJe0A7FhsWFZXbWv9Pfn9zJ07x7OsUur/3U1ow9+EDZdmqOr5wFuAOyLiW5Lm01sA+JUyAhyFh6qKMazG0bTFfP3xrlq9ga+tePKsyEcvG+OUk4+sMLp6c42jnUZeOZ48yV7Aooi4XtJcYFZEPJZjnIVw4ihf02sGTY/fLA8j1zgkvRM4EdgF+F1gd+AfgMPzCtLao+k1EDc0NBsuTXH8JOBA4DaAiFgv6XmFRmWN1YZ1EW6HbjZYmsSxJSJ+IwkASbPpdck1ewp/Y6+PptWarDnSJI5vSvogsJOkI4B3A18vNixrsiZ9Y2/rzrXMMyRa96SZjvvXwCbgLuDPgauAM4oMyqwMbW5w6B5cVqSBiUPSLODeiPjHiHhTRLwx+dlDVR3R5pbjbd65tm29jdXLwKGqiNgm6X5J892bqnvaPtyRdyG/TsNerjVZkdLUOJ4DrJN0O/CriY0R8brCorJaaPrU2mHy3LnWMck2qdZkzZImcfz3wqOwWmrD1Nph8tq5tj3JmvUbmDiSGscXIuJFJcVjNeLhjvS6kGTNJqTpVbUC+Is8axyS3gR8GHgxcGBErOy77XTgHcA24JSIuCbZvhT4DDAL+GJEnDXsddxyxMpUpxqH2SjyaKteRI3jbuAY4Av9GyXtDRwHvAR4AXC9pN9Pbv4scASwEbhD0uURcc8IMZjlyjUF64pKahwRcS/AxGr0PsuAiyJiC7BB0gP02p0APBAR308ed1FyXyeOjvO3fLPyDV0AGBHfBO4Dnplc7k22FWF34KG+6xuTbdNtfwpJJ0paKWnlpk2bCgrT6qDNC/jM6mxo4pB0LHA78CbgWOA2SW9M8bjrJd09xWXZ6GFPLyKWR8TiiFg8b968Il/KKtbmBXxmdZZmqOpDwAER8SiApHnA9cD/GfSgiHjVDOJ5GNiz7/oeyTYGbLeO8kwms2qkSRw7TCSNxE9J1+NqJi4HLpT0SXrF8UX0jnYELJK0kF7COI7eWQmtw/KeLux6iVk6aRLHNyRdA3w1uf7HwNWjvKik1wP/C5hH7zzmayLi1RGxTtLF9Ire48BJEbEteczJwDX0puOeFxHrRonB2iGvmUx1XPmdBydDK8LQxBER75d0DHBosml5RFw2yosmj5/yOSLi48DHp9h+Fb3OvGa5a+PK77YmQ6vetENOkn5P0hKAiLg0It4XEe8DNkn63dIitNK1uSPudNrYTdaTB6wog2oVnwZ+McX2nye3WQt1dYrrRL3k6GVjrflm3sZkaPUwaKhq14i4a/LGiLhL0oLCIrJKtXHIJq2yVn6XVXdwrzEryqDE8ewBt+2UdyBWD57iWqyy6w5ug2JFGJQ4Vkp6Z0T8Y/9GSf8VWFVsWFYVf0stVpeP6Kw9BiWOU4HLJB3Pk4liMfA04PVFB2bV8bfU4viIztogTVv1w4B9kqvrIuJfC48qJ26rbnXktRVWd8Paqg9NHE3mxGFF8c7f2mxY4iiqdYhZa3V1yrLZBCeOFpu8kK+LC/uK4IV11nVpelVZA02e9vmGYw7gkkvvcPuJHLjAbV3nxNFSk78Vf+fW9Z4GmhNPWbauc+Joqcnfig8+aBE/+tF/+FtyTjxl2brMiWMaTZ81M9W34he/6AWNfk9mVg+ejjuF/vrAnDmzXQ8ws07xdNwZ8KwZM7PpOXFMwe2ozcym5xrHFDxrxsxsek4c02jzrJmmF/7NrFoequoYt8sws1E5cXRMFwv/brVili8njo7pWuHfR1hm+XONo2O6Vvj3GffM8ufE0UFtLvxP5oaEZvlz4rBWq/IIy7PXrK3ccsSsAG5bY03mliNmFeji7DXrDicOswJ0bfaadYtrHGYF6NrsNeuWSo44JJ0t6T5JayVdJunZfbedLukBSfdLenXf9qXJtgcknVZF3GZZLDlkEaecfKSThrVOVUNV1wH7RMRLge8BpwNI2hs4DngJsBT4nKRZkmYBnwVeA+wNvDm5r5mZlaySxBER10bEeHL1VmCP5OdlwEURsSUiNgAPAAcmlwci4vsR8RvgouS+ZrlwWxKz9OpQHP8z4Ork592Bh/pu25hsm277U0g6UdJKSSs3bdpUQLjWNm5LYpZNYYlD0vWS7p7isqzvPh8CxoEL8nrdiFgeEYsjYvG8efPyelprMU+dNcumsFlVEfGqQbdLehtwFHB4PLkK8WFgz7677ZFsY8B2s5G4LYlZNpVMx5W0FPgA8PKI2Nx30+XAhZI+CbwAWATcDghYJGkhvYRxHPCWcqO2tvLUWbNsqlrHcS4wB7hOEsCtEfGuiFgn6WLgHnpDWCdFxDYASScD1wCzgPMiYl01oVsbdanxo9mo3KvKzMy2415VZmaWKycOMzPLxInDzMwyceIwM7NMnDjMzCwTJw4zM8vE5+NIweeONjN7ko84hnADPDOz7TlxDOEGeGZm23PiGMLnjjYz255rHEO4AZ6Z2facOFJwAzwzsyd5qMrMzDJx4jAzs0ycOMzMLBMnDjMzy8TFcbOM3EnAus5HHGYZuJOAmROHWSbuJGDmxGGWiTsJmLnGYZaJOwmYOXGYZeZOAtZ1HqoyM7NMnDjMzCwTJw4zM8vEicPMzDJx4jAzs0ycOMzMLBNFRNUxFEbSJuDBquMY4rnAv1UdREm68l79PtunK+914n3uFRHzprtTqxNHE0haGRGLq46jDF15r36f7dOV95r2fXqoyszMMnHiMDOzTJw4qre86gBK1JX36vfZPl15r6nep2scZmaWiY84zMwsEycOMzPLxImjBiSdLek+SWslXSbp2VXHVARJb5K0TtITklo3tVHSUkn3S3pA0mlVx1MUSedJelTS3VXHUiRJe0q6UdI9yd/te6qOqSiSni7pdkl3Ju/1bwbd34mjHq4D9omIlwLfA06vOJ6i3A0cA9xUdSB5kzQL+CzwGmBv4M2S9q42qsJ8GVhadRAlGAf+MiL2Bg4CTmrxZ7oFeGVEvAzYF1gq6aDp7uzEUQMRcW1EjCdXbwX2qDKeokTEvRFxf9VxFORA4IGI+H5E/Aa4CFhWcUyFiIibgJ9VHUfRIuKRiFid/PwYcC+we7VRFSN6fplc3TG5TDtzyomjfv4MuLrqICyz3YGH+q5vpKU7mS6StADYD7it2kiKI2mWpDXAo8B1ETHte/WpY0si6Xrg+VPc9KGIWJHc50P0Do8vKDO2PKV5n2ZNImln4BLg1Ij4RdXxFCUitgH7JjXWyyTtExFT1rGcOEoSEa8adLuktwFHAYdHgxfXDHufLfYwsGff9T2SbdZgknaklzQuiIhLq46nDBHxH5JupFfHmjJxeKiqBiQtBT4AvC4iNlcdj83IHcAiSQslPQ04Dri84phsBJIEfAm4NyI+WXU8RZI0b2I2p6SdgCOA+6a7vxNHPZwLPBO4TtIaSf9QdUBFkPR6SRuBg4ErJV1TdUx5SSY3nAxcQ6+IenFErKs2qmJI+irwHeAPJG2U9I6qYyrIEuBPgFcm/y/XSHpt1UEVZDfgRklr6X0Jui4irpjuzm45YmZmmfiIw8zMMnHiMDOzTJw4zMwsEycOMzPLxInDzMwyceIwGyDpkLpB0i7J9eck1xdMcd9TJN0rKfPKf0kLJL1l9IjNiufEYTZARDwEfB44K9l0FrA8In4wxd3fDRwREcfP4KUWAJkTR9KV16xUThxmw30KOEjSqcChwN9PvkOyaPOFwNWS3ivpGcl5K26X9F1Jy5L7LZD0LUmrk8shyVOcBfyXZJHZeyW9TdK5fc9/haRXJD//UtInJN0JHCzprcnrrJH0BScTK5oTh9kQEbEVeD+9BHJqcn3yfd4F/Ag4LCI+BXwI+NeIOBA4DDhb0jPodR49IiLGgD8Gzkme4jTgWxGxb/L4QZ4B3JacO+GnyfMsiYh9gW3ATI54zFJzk0OzdF4DPALsQ+/EW8McCbxO0l8l158OzKeXXM6VNLGT//0ZxLKNXuM9gMOB/YE7eq2V2IlecjIrjBOH2RDJTv4IemeB+7akiyLikWEPA94w+cRVkj4M/AR4Gb0j/senefw4248IPL3v58eTFtgTr3N+RLT1rJFWQx6qMhsg6ZD6eXpDVD8EzmaKGscUrgH+Ink8kvZLtj8LeCQinqDXQG+iHvEYvUaXE35A79wIO0jak94ZBqdyA/BGSc9LXmcXSXulfX9mM+HEYTbYO4EfRsTE8NTngBdLevmQx32U3uk310pal1yfePwJSWH7RcCvku1rgW2S7pT0XuBmYANwD706yOqpXiQi7gHOAK5NOpteR6/TqVlh3B3XzMwy8RGHmZll4sRhZmaZOHGYmVkmThxmZpaJE4eZmWXixGFmZpk4cZiZWSb/H/VL4uXvJNBCAAAAAElFTkSuQmCC\n"},"metadata":{"needs_background":"light"}},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}}],"source":["import matplotlib.pyplot as plt\n","\n","plt.subplot(5, 1, 1)\n","plt.scatter(X[:, 0], y)\n","plt.subplot(5, 1, 2)\n","plt.scatter(X[:, 1], y, color = 'orange')\n","plt.subplot(5, 1, 3)\n","plt.scatter(X[:, 2], y, color = 'red')\n","plt.subplot(5, 1, 4)\n","plt.scatter(X[:, 3], y, color = 'green')\n","plt.subplot(5, 1, 5)\n","plt.scatter(X[:, 4], y, color = 'purple')\n","\n","plt.show()\n","\n","# Your code here"]},{"cell_type":"markdown","metadata":{"id":"r7vndSBAJceF"},"source":["You should be able to see the linear relations between `y` and the features in vector `X`."]},{"cell_type":"markdown","metadata":{"id":"b4I9Z3epNvBM"},"source":["### Gradient Descent Review \n","1. #### Cost function\n","Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n","\n","$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n","\n"," where `N` is the number of samples \n"," \n","\n","\n","2. #### Compute the derivative\n","$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n","$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n","3.

Update current parameters

\n","$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n","$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n","4.

Repeat until it fits good enough

\n"]},{"cell_type":"markdown","metadata":{"id":"kBtUcOVnJu-I"},"source":["### Model definition\n","\n","Complete the functions in the class below. Hints provided at appropriate places."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"dGnFNPJx3I28"},"outputs":[],"source":["import numpy as np\n","\n","class LinearRegression:\n","\n"," # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n"," # Learning Rate, Number of is, Weights and Biases. It doesn't return anything.\n"," # Hint: Google what a `self pointer` is and figure out how it can be used here.\n"," def __init__(self, learning_rate=0.001, n_iters=1000, w=np.full(X.shape[1],0),b=0):\n"," # Your code here\n"," self.learning_rate = learning_rate\n"," self.n_iters = n_iters\n"," self.w = w\n"," self.b = b\n","\n","\n"," # The following function would be the heart of the model. This is where the training would happen. \n"," # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n"," def fit(self, X, y):\n"," # Gradient Descent code goes here\n"," entries = X.shape[0]\n"," fcount = X.shape[1]\n","\n"," for i in range(self.n_iters) :\n"," # prediction\n"," pred = np.matmul(X,self.w)+self.b\n"," dw = np.full(fcount,0)\n"," for j in range(fcount) :\n"," # computing derivative\n"," dw[j] = np.sum(np.dot(X[:,j],y-pred)) * -2 / entries\n"," db = np.sum(y-pred) * -2 / entries\n"," # updating values\n"," self.w = self.w - self.learning_rate * dw\n"," self.b = self.b - self.learning_rate * db\n"," \n"," # This function will be called after our model has been trained and we are predicting on unseen data\n"," # What is our prediction? Just return that\n"," def predict(self, X):\n"," # Code goes here\n"," return np.matmul(X,self.w)+self.b"]},{"cell_type":"markdown","metadata":{"id":"EvyInkTKPn7W"},"source":["### Initializing, Training & Predictions"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"nvItUpAkHTiv"},"outputs":[],"source":["# Now, we make an object of our custom class.\n","regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n","\n","# Call the fit method on the object to train (pass appropriate part of dataset)\n","regressor.fit(X_train,y_train)\n","\n","# Now, let's see our what our model predicts\n","predictions = regressor.predict(X_test) # pass appropriate part of dataset"]},{"cell_type":"markdown","metadata":{"id":"tzK6cq8eRD4Q"},"source":["### Evaluate the model \n","\n","Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"WqkrvDzcRF5m","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1654443031203,"user_tz":-330,"elapsed":421,"user":{"displayName":"Anurag Singh","userId":"10745855479500948138"}},"outputId":"05656d40-23de-45ca-8d46-9e80163d8333"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mean Square Error is: 673.3064\n","Accuracy is: 0.9363\n"]}],"source":["def mean_squared_error(y_true, y_pred):\n"," # return the mean squared error\n"," return (float) (np.sum(np.dot(y_true-y_pred,y_true-y_pred))/y_true.shape[0])\n"," # pass # Uncomment this when you're done with this function\n","\n","\n","def r2_score(y_true, y_pred):\n"," # return the r2 score\n"," s1 = np.sum(np.dot(y_true-y_pred,y_true-y_pred))\n"," s2 = np.sum(np.dot(y_true-np.mean(y_true),y_true-np.mean(y_true)))\n"," return (float) (1 - s1/s2)\n"," # pass # Uncomment this when you're done with this function\n"," \n","\n","error = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n","print(\"Mean Square Error is: %.4f\" % error)\n","accuracy = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n","print(\"Accuracy is: %.4f\" % accuracy)"]}],"metadata":{"colab":{"collapsed_sections":[],"name":"Assignment 1.ipynb","provenance":[{"file_id":"1lHTeY0ieI9TWcR88yhQV1EwsX7n5PSJq","timestamp":1654160954974},{"file_id":"1DG_xMAsAlibZtSw7T_p6dzV8CRejNM9o","timestamp":1653919622477}]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0} \ No newline at end of file diff --git a/Assignment 1/A1_200244.ipynb b/Assignment 1/A1_200244.ipynb deleted file mode 100644 index e9bf765..0000000 --- a/Assignment 1/A1_200244.ipynb +++ /dev/null @@ -1,383 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "RB2d1J1f1CF7" - }, - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "a_S80lf6H4Xv" - }, - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Zj4rrRXGJBXy" - }, - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 314 - }, - "id": "zxfi8dkBJOUi", - "outputId": "910e4055-bad1-469e-c7ba-f70cecd68123" - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "figure, axis = plt.subplots(1,5, figsize=(30,6))\n", - "for i in range(5):\n", - " axis[i].scatter(X[:,i],y)\n", - " m, b = np.polyfit(X[:,i], y, 1)\n", - " axis[i].plot(X[:,i],m*X[:,i]+b, color = \"red\")\n", - " axis[i].set(ylabel = \"X[{}]\".format(i))\n", - "\n", - "# Your code here" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r7vndSBAJceF" - }, - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "b4I9Z3epNvBM" - }, - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "kBtUcOVnJu-I" - }, - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "id": "dGnFNPJx3I28" - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " # Your code here\n", - " self.learning_rate = learning_rate\n", - " self.n_iters = n_iters\n", - " self.weights = None\n", - " self.biases = None\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - "\n", - " def fit(self, X, y,cost,w8s):\n", - " # Gradient Descent code goes here\n", - " self.weights = np.zeros((X.shape[1],1))\n", - " self.biases = 0\n", - " y2 = np.array([[item] for item in y])\n", - " \n", - " for itx in range(self.n_iters):\n", - " hyp = np.dot(X,self.weights)\n", - " error_w = 2/y.size*np.dot(np.transpose(X),(hyp-y2))\n", - " error_b = 2/y.size*np.sum((hyp-y2))\n", - " J = 1/y.size*np.sum(np.square(y2-hyp))\n", - " cost.append(J)\n", - " w8s.append(self.weights)\n", - " # if itx<5 or itx>self.n_iters-5:\n", - " # print(self.weights)\n", - " self.weights -= self.learning_rate*error_w\n", - " self.biases -= self.learning_rate*error_b\n", - "\n", - " \n", - " \n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " # Code goes here\n", - " return np.dot(X,self.weights) + self.biases\n", - " # pass # Uncomment this when you're done with this function" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "EvyInkTKPn7W" - }, - "source": [ - "### Initializing, Training & Predictions" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 300 - }, - "id": "nvItUpAkHTiv", - "outputId": "2758b100-5edd-4b63-899a-dfd3863cd692" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Final Cost: 486.93051056532363 \n", - "\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression(0.0003,4500) # You may pass the custom parameters or let the default values take it ahead\n", - "cost = []\n", - "weights = []\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train,y_train, cost, weights)\n", - "# X = np.array(weights)\n", - "J = np.array(cost)\n", - "plt.plot(J)\n", - "plt.xlabel(\"No. of iterations\")\n", - "plt.ylabel(\"Cost after each iteration\")\n", - "print(\"Final Cost:\", J[-1],\"\\n\")\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "tzK6cq8eRD4Q" - }, - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "WqkrvDzcRF5m", - "outputId": "60da13f5-5483-4125-bf7c-277e8541e954" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "For test dataset:\n", - "\n", - "MSE: 718.7287155560354\n", - "Accuracy: 0.9158877052983698\n" - ] - } - ], - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " y2 = np.array([[item] for item in y_true])\n", - " return np.sum(np.square(y2-y_pred))/y_true.size\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " mean = np.sum(y_true)/y_true.size\n", - " sst = np.sum(np.square(y_pred-mean))/y_true.size\n", - " mse = mean_squared_error(y_true,y_pred)\n", - " # print(sst,'\\n',mse)\n", - " return 1 - mse/sst\n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - "print(\"For test dataset:\\n\")\n", - "\n", - "mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "uIayzXKckqjh", - "outputId": "da06eb62-f663-4e3a-cd6e-17b3b8eb9f74" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "For training dataset:\n", - "\n", - "MSE: 729.0582865893924\n", - "Accuracy: 0.9245230975899686\n" - ] - } - ], - "source": [ - "p = regressor.predict(X_train)\n", - "print(\"For training dataset:\")\n", - "mse = mean_squared_error(y_train,p) # Pass appropriate parts of dataset\n", - "print(\"\\nMSE:\", mse)\n", - "\n", - "accu = r2_score(y_train,p) # Pass appropriate parts of dataset\n", - "\n", - "print(\"Accuracy:\", accu)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "MjnNWxO-tN37" - }, - "outputs": [], - "source": [] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "A1_200244.ipynb", - "provenance": [] - }, - "interpreter": { - "hash": "b89b5cfaba6639976dc87ff2fec6d58faec662063367e2c229c520fe71072417" - }, - "kernelspec": { - "display_name": "Python 3.10.0 64-bit", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.0" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/Assignment 1/A1_200418.ipynb b/Assignment 1/A1_200418.ipynb deleted file mode 100644 index 98ca101..0000000 --- a/Assignment 1/A1_200418.ipynb +++ /dev/null @@ -1,288 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 17, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.scatter(X[:,0],y)\n", - "plt.scatter(X[:,1],y)\n", - "plt.scatter(X[:,2],y)\n", - "plt.scatter(X[:,3],y)\n", - "plt.scatter(X[:,4],y)\n", - "# Your code here" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "outputId": "019d2b0e-b2b8-4d0b-aa81-8a171bb715dd", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - } - }, - "execution_count": 27, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 27 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000, w=np.full(X.shape[1],0),b=0):\n", - " # Your code here\n", - " self.learning_rate=learning_rate\n", - " self.n_iters=n_iters\n", - " self.w=w\n", - " self.b=b\n", - " #pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " # Gradient Descent code goes here\n", - " entries = X.shape[0]\n", - " feature_count = X.shape[1]\n", - "\n", - " for iteration in range(self.n_iters) :\n", - " prediction = np.matmul(X,self.w)+self.b\n", - " w_derivative = np.full(feature_count,0)\n", - " for feature in range(feature_count) :\n", - " w_derivative[feature] = np.sum(np.dot(X[:,feature],y-prediction)) * -2 / entries\n", - " b_derivative = np.sum(y-prediction) * -2 / entries\n", - " self.w = self.w - self.learning_rate * w_derivative\n", - " self.b = self.b - self.learning_rate * b_derivative\n", - " #pass # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " # Code goes here\n", - " return np.matmul(X,self.w)+self.b\n", - " pass # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 28, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train,y_train)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 29, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " return np.sum(np.dot(y_true-y_pred,y_true-y_pred))/y_true.shape[0]\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " sum_square_regression = np.sum(np.dot(y_true-y_pred,y_true-y_pred))\n", - " total_sum_squares = np.sum(np.dot(y_true-np.mean(y_true),y_true-np.mean(y_true)))\n", - " return 1 - sum_square_regression/total_sum_squares\n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "outputId": "ae70a5e3-41b1-4cbd-a161-11dbfdbf6c21", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 30, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 673.3063809304753\n", - "Accuracy: 0.936346427498015\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_200426.ipynb b/Assignment 1/A1_200426.ipynb deleted file mode 100644 index ea39f3a..0000000 --- a/Assignment 1/A1_200426.ipynb +++ /dev/null @@ -1,277 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 2, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.scatter(X[:,0],y)\n", - "plt.scatter(X[:,1],y)\n", - "plt.scatter(X[:,2],y)\n", - "plt.scatter(X[:,3],y)\n", - "plt.scatter(X[:,4],y)" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "f56efd9e-26f7-4dff-948e-bfdf884dfe9a" - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 3 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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C4+smccFn38VEKgjosA32rOr/+H8U1m0Fp5OOMXnKp+pI7TrubDNDe23ojXx69KDg71tR/nXL8pCeA2m3s/2p1ewcno50mhDAoM48Ttk9k8WOV2FO92wVAlexGaNXaQI/qLt2u7NTOprQG++YjGMfDbWPQULQVde4h3T9kAzjHSM0BAXLCyd/dYkn8AfgNqey/9hScHp6EVI7GpRPFXhcrykKUF4Ufc1w+e3q3oJ9uecgndoeCKs7hdO+uLDbQ9IDG/CEVf28wRfH/jqoPV7ojXdMxrGPRvA3SAi6c2x9OvRkGe8YoSEoWN6Y2ZmrvHngqn50xQpMLu3Fz+TqYHTFCgCE2U3BhCP656S4KPpWjnVp6iauwOcPJLMzN/rmKJ3nBJAO9fMGXxyjGdR+NJOsMyNUGMHfICEoh3OITqZkvuDJ9SeLGiVCQ1DpqFLKzi6jKKMIgaDd1qy8eeCqvrB2C2P3vEiq/RBISYfbTvHnyyms3Ywl3UnRGU1kj9RJA+hcFH0rx2fGzcSumDmcka6u3bWkHI6+OUrnOQE66i5EurXPq9LeRxrUfrQzZ+JQHrpsPENz0hB4cv0PXTY+6Yq9YBR8+wXJ6G8fDdGed2+7XmrQkUo25VzH9tXN7Ms9h47UPDLSJWdfeTIAa57dicvVlWIxuToY+1lXzt9Hh9nKolOvYPsJZyElnNuxloUpT7Mmw8yi3BxqLGYKXS6ub7BzRcthasUQDpx2K2dcemPIaQbm3887sJVrd71BQXsjlgzJMeMb+XrkhbxV932kq2vV6TB18t7xrzJvzpwe5/wBLFnbsBWsQlibKNIp5JZXlFO2/m7sMqAwLKyUTbvfKAz3AeEKvkbwT3J6ok/vD/RETx03gtQ+TSmz+XBpNZ+O+g5uc1f6ymyWXPCDkwB476VPaG0TSrVP4EVs7bDTNAH0zOyXqCjcRkeAcZl0W7FXX4azeSJpVrPuSjFQPz4v8wN+K5/AEpBf39s5nTX263C22eKu9olas75jCeVv3cqirHTPxc3pYn5zG6XffFiz0wsuDIO+esig+xjBvx+z+M4Nup2p8343tQ/OKL7su2C6upOyuJgxa97ugzPynJOeXDPW9z1Y+pcxeiGmlNDiqbszh9b9twNRygIfOVln4Hofy2ejPC+VhBagKKOI1VesTuQZDijCBX8j55/k9MSTpj+QjB4qzupq3QJqrO97sMRPTzUTeDwqWWAcnCsTQpTnNdALw8mAEfyTHF3VTBxcGpOBnrpeJgJLUZGuXDPW9z1Y4qenmgk8HpUsMA7OlQkhyvMa6IXhZMAI/kmOSjXjMHWyrmgJ5RXlfXRW8UPleokQOKuq4jpAI5ZBLgW33MzoA2+EyDXNZhmzO2aw9E+lmpFuKx11FwIxyAKjca4MGPLCIyd7fk40UTpq6jqERuvcGSPLtlUydeEajru9nKkL17BsW2VCnqc/YXT4Jjm+om5g2/6mEa/xWdZWPnnvPaB/d05qPFR8uX9vHSpeIw9jHW2YPWsWpwGmp14PUfvEWmQPdiU9xnQ2M449lg0Nz1HTWkOWNZ+O2gtpbT6JobGYgEVyruyrUYZROmomzCFUQX/y2+lNjIJvP2EgFMgSVfw92ovmSpK1INwHJJvfTm9iePscBQyEAlncir9B0s2WhkWohsIfLUVzH5q+CtNvmZL5vN9HqTwj3dtbAIWvzBhQmnpVAf28A1u5dtUb7F7c1Pu9JUmCEfz7CYUZhcqV/9FUINMboOEYnM/UhWui05or0h2Z5npaXPkhN83MS+3bBrMYCdcUFZLachewtvlnAOzL30rZkDzsJk/tqFfM1qKY39BbzYvFOWmalf95B7Yyf/srfoO8eKUX+xtGwbef0NsFsr5AVfx1p6Tyl1HforKxHUlXvla3YKcwapuS8RwW0ak5ZkkxccqIpn4zpNvXFFXdWo1E+gO4r+gfzkV1UW6OP/D7SKjZWtBQeX+9IaDg7LtY+XZfvjpMuEJ8dwkuul+76w2lM+rRNJ83GoyVfz+hNwtk0Det96oBGn8d/S1WDx7vv83YDjPnNFk4+Lc9LM77InS1qNCZl6T/FzeCde5bcbU4/atM9/xvK4d07yh7iEPDTtPsLhKySo1hulk4t8zSUaVhXFTzqbGYlb8b9cFBNjx8MjlNLhqzzThumMt518XBbC+cU6r39SkvVp1uNi7fH/fVf3DRvUDHGbVP5/P2waQ7I/j3I0pHlfZKnrYvPdmzZ83SbL3/fXuXnHVsh5mL2q1Yvfl7pWonaKatj0zbLhbJNh662mOd0LRyJVWN6iCQ13qYGwLUILGqhaIiRjVOpJqP3oziJiFxOXJDuoqn7nRx4+sSm9OjgMlrctHxp3+xDnp+AYii0au3mxfnTBzqvwjs++CPyTWft4+UWUbaxyCEZPJkD2x4Osdu8Qd+H77VInh8gva9msnul4rYt6KApi889+2UFtKws9P0Xc5afi7sWBJ2i1+XlkO7w8XDq/YA4Vep3SbCHIFgIjVFTZk9GmHRvjcSiVXC8V9+H6vQNqddtU5ic2oOkeoA65P6vQDlFeXMeGUGExZPYMYrM/T7TKJo9OrL5kVVelHYbBTccnPCn1tJjN+FeBGX4C+E+IcQolYI8UnAsTwhxJtCiH3ef3O9x4UQ4lEhxGdCiB1CiNPicQ4G8SOZlEWB+dosGarYAc9q0WcQ56xvAgTONgvVm7Op/CIHiWSwqQWTgELqYOUvcVaHrvwAJB7bZOhSiSRklRqjPUOkms+uFBf/SXPQJiQSj3xbIEjHxIWNJfwm7wG/LXVRRhGD1c7U5DSph8xEqjloiKLRS2n5nWKKuYmuO2TPmkXR/fdhKS4GIbAUF/eukWAwfWTVEa+V/zPARUHHbgfellKOAd72/gwwExjj/e8G4K9xOgeDOJFMrfeB/ujNQt2TkpmXSu0jfwrN37tMHNmRRqoICmiOdiwZ6udrTkln3fBJQNeuIyGr1BjtGYLnChRlFGkcMB9etYcdZgcOJCJodySdEvt7g1h9xWp2zNvB6itW05itrgPoHY9pNzhhrmdeQ/ZwQCjnN5RMLuT8q8f638PMvNRedarNnjWLMWve5sTduxiz5u2+Vfn0kVVHXHL+Usp3hRAjgw7PBs7z/v9iYB3wG+/xZ6Wnu+x9IUSOEKJIStmH1ZaBQzSF3Pmnzffn/KfudHHVOsmQZnAWHKEpdWXUfyg9LZJqzvX4Qkaf/CsaV9tC7K2nzB6N89/qr49sUz92wcmHqd5epLlg2M1Wnhg/G9DaLEyZPTrEVtspwHKqZ6pXt+Si0xco5wiEm24Wrubj26WE2x0F4rhhLh2P/IvUgNRPh8VzXEXMu8EJc9X5am9hc2/1cWxsm0eLM5fMPFu/mVGRELrxXYgHicz5HxMQ0GuAY7z/PxQIrMgd9B7TIIS4QQixRQixpa6uLoGnOXCIduvuW2Vesi+LG1+X5Dd7WqSstY1RSyF7KuVTnev/Nt5Nzgy7crWoV6wzpasfP/uUIZqtv2NIAc+dfRXvDJ8UMn2pZHIhmdMKaDZ5UipNws0btk4e+Pgr3v7zs92Ti0axOo4F3y5Fb3fUbJIaeex5Z4yl8RsdNGSBG2jIgsZvdHDeGWOV94/LbtBb2NxbPZK1zT+lxZkHiITKPPsFcf4uREvc7B28K//XpJQne39ulFLmBPz+sJQyVwjxGrBQSrnee/xt4DdSSl3/BsPeIT7EahHRE7uFnloqxHquukNhfnwx2Y1Ph66qYvzj0rMIeO7NBxnSejjkeG/PI/D51xzbgkYRBeBA8p80B0eOSemyM4jR/iEuw1e8z7m49m+0uAtCfn1U2230EX1l7/C1L50jhCgCar3HK4HhAbcb5j1mECf00i3RbN0DUy0vVTkUpgjR6aF7WiSNNc0QYhBnNnsad159Hy6/juzO5VFrqFXTq/Q89vMUgR/036OYJ2N5iZSuC9Sy/+frTs6xW8iSAqfJzuSM5/ll+utUtQ2BHQ95XnuMRUZVn8l1tl9R/9QgHmtYE11az/vYLe4hyl+3NHRo9O5NtcXU7sjCeag56buv+yOJDP4rgHnAQu+/ywOO/1wI8RIwGWgy8v3xI5wmXc8iYlLz+d6Vup2WVDsZw4uR+dXUZ0G+QhXiyM9mxiszwtYN9HTnqiKpKmfeHTsLX2AI3AE4q6qo/utS+OllZJc96L9t1wXSjs3RxKh9yxhmqeSrb8/jjtqCEAfI7DQrje2OkOdsyMhVr/x9aaiAYNaWVsj61sv52pZG+uhVNFkb+e3WHD46fAP3XHCN7uu6d81zvPLlI2DyPP+oDw6S9fCt7Gr+NdaiYv+4SN9FxWQTfJrawaWm9Sy0PkW6t7t5mKjv0o/r9EOEKzIG1hy6vmfatB6E6X3wPmemqV658nfj5rHH88g0/ZZT7EuwbdqJdDUBA9eCIZHEJe0jhPgXnuLuEOBr4B5gGbAEGAF8CcyVUjYIIQTwFzzqoDbgh+FSPnB0p33i7S0TLt0y5PrGkK37iYfO4ryKK5HOgDSBqZN3Rr3EMbUfeBuBuh7HnWrlbzNNrD2xS0Gj2v7vfWUZa99OxSm7gr1FdHD+9A5Krpijef2qdE3NL77NrakrY04zBKeqagpOZ/+oS+lIzeNIqmeu7UXHzQwpHJtcHYzd8yK5hz7iT6de4Vf8+MhNt2J3uP0XBfAUhf9SUMvQpx9RzyA+tj2kkLc0PYt78wfjNgUokNxWrjj2FlZ/MDRkR7BsWyW/3Xqlf9JXV3NWwN1TUll06hWsLp6oOef1Kb9kmKk+9E3KHq5fZJz1qOf/I3Sbdiut58v5N53OW0duQgZ8N2SQSsn3eRTWav/u+3K8Z38k4WMcpZTfk1IWSSmtUsphUsqnpZSHpJTTpZRjpJTflFI2eG8rpZQ3SSlHSynHRwr8RzN+bXocvWXCpVtUcsELar6rCfwAVncKk7+6hA0nmfnbxYK6LPx66OdnDdIEflBL/koO/JbzBz1GpqkWcJNpquX8QY9RcuC3mtspJZp2O0NfeCestFGPwHRLTcHpfHrCVZ5ZvEIwqDOPU3bP5OAbnSFNW25zKvtHXUqqy8G1u94IedzGNodfcirAXxSe/osf6GvGFc07T+RlagM/gMnByxVPKv2LHnznBbB0Bf6frwxtzjJ1dnDVx6F6+2KhCPzgCep6RUaI6MsD3UzreZ+zpOgLNo98kSMpDUgkbtwh8lTf5xFMn1owHGUY9g59iF7gq33kT91e/UdKtwTLBR97S72Kyuz0yBg3nGSm4syuImv54gma2/mkoIObD7Dv8eldO5emg5SkH/BbCvtpCurQ1bNxrqqi5Po/8vItN5N9hf57EVzfGFkynYI9bwGwf9SluM3aNJPVnYIFq+qh/HN784O8Xy41refM3FdZvnoys6pmk9mZi8XtZlynRxMfbEnR9VpD8+d6Pju+AG/J2kZq/iqEtZG7t2Ugs9sRomvFb9bZqAefM0CVHOJJ9YQgPcXX6QtCi7uPnKy5YO1t+wYbW75Py+ODyczb4M/rx5LW0+CVgG5dPIEthds5vm4S0z9Tp7xUc5QjWTB0t6bioz+5vPYUw96hD0nE8PKYOid3LCHTrF4dtqR48tjBzqGBOXdfQMpv9nyRNDuXKBtXwv0xR9oJqeSku4fNoabQs8vVG8Kuh29ub31arv/Ypab1nJfzPCs4i1O+vJpBnXkIBK5mE289tzO8PFHxHhQ61R20AKnHLMNWtBRTSiNCAOZWhMmzQ1HZMQRSlxY6G/gPzrm0yxT1HXRW9IEXrL1t32Bt88+8+XmtJLOnHbq+79Hkry4JWfX7sAXNUY5kweBTPEXtABtEInbiyYwR/PuQRAwvj6lz8u37PHbHaHcfTlMnm0a8pky1BNoMqAKStNupuvU29r2aSdOBLACavkhj34oCj+fOq5maPyblDN+gx9Pz4Vnz6ich6RuXS/Dl+CuxZLh0h7DbLa04TUGrVikZXP8xwgITTqlgfcovudS0nu85vmD/wT9yzv55WN3aQCqdIry/j8Lm4OdNraBYvQsB1txNCFNoURnQtWMAwCzZcVJo0F3hnsZvHNdTQ+gsA0DtHxNwwdrY8n2caD+bQOfNnnTo+r5Hvh1mKJJJtpVYhrxJXF8AACAASURBVGT7+zCePOO7nLrBpDuD9+FVezQ1GUDj0RSJcDvxoxEj7dOHFNxys7LY2VODqZLJhdH9EXpTM+D5Q29xDyHTVM+UzBeY/2v1aidQ8je4WaEW8eKsb6K6OZe2w5k07XEjXaau4wGqDeUM3+DHUuyEyivKcTbblGvGVkcaY/75AHLpa7z19ZWawqLD1Mn7x75KwZGRjKs9p2vVKQQ1RVM4ruATcke8TS7t/Ni5m/eO3EA6+heniDlu0BRPL52+gLu23a9zB33xxSEd5RVCUnxGI9cfu4rPHMNZ4Z6m+fUK9zRW2qfxue1q9eMHp6YCCsFhJZnE8D1T4Pse7drSTLo9O+T3tgwrp/6/Z4HoZ/DqyXH1jgeTiJ14MmOs/PuQPjeY8q7yStL/y7yCG7mp8HLmFdxISdHnYe9WOqqU1VesJqW4OOztZKeDxj1mf+D3H/euppZtq2TqwjWcusHEtTPuwjEkVP4H6p3Qog8X+VNTwdgyLDBhLiVli/nmtRMxZ7mRSI6kNPDRmOXUDN7CiMbxyiLjR7YuVcuHLVeGrHyDiSrHfcsnUNbo+XfCXIoy1Ds7gYmpO1089piTlx5y8thjTqbu9AS8F88T2IOWasLspnhyI9kj20kXndxmUTtyFuekKVNQ5RnpzBgxTOvSGVAIzlQphaJ5zVFSOqqU2d+bokwffWNuif/naFf0gQ6w0RwPJhE78WTGCP59TJ8aTEXhvhiOSCkbAFzqHLejujokP/uXUd/CnaINLME7ob2balj86ze59K3fYHGn4Cb08TvsTn8uvmRyIT/5wzf5+RPTuf3RK/jnLX+l2WzSTTcErnb1Vr7+c7PIbrlQTs27BtzaorPNbON/Gk7nJ2901VDym+Enr0u+9bGT98aZWDIDHBkuQGJJd1J0RhPZIz2r2vKMdH40IoXMsbeTMXohlqxtQIBHUdBnXZ6RTtmQwVSbRajVh/eCNWXeeTHl9ZtWrmTfBdPZfeI49l0wPapceTTpo2hX9METuzSvPwqSzuo5wRhpn4GMIi2xefQvuPn1IVS9WE5xThr3ZRxkxL8XK9UPwSmbQE19akcDoytWUHhom/ICcCg9J2Q1t7p4IpmpFn66/82Q5yuvKOeV8tWcsnsmVncKAkhzZvrtiwORLvx5aVW3c2FGES0phxnUGVoQDlzt6jUjSSSWLMkFl58cc9pj2bZKXlqbjyPtMr+qB2cOlwy/gan/eAZnUMo/1Qk/XePkj5lVkAUo1gaeQO6Z0SsAkdKIrWgpncDl42bz8Ko93NKYwbzMG7kt7f9Ib69h0eDB2E3anY/dZWfRut9Q2tLq2Tl5X1s05nzB/RrOqiqqbr2Nrx/8HcfcdadmUaPqVp73O30Jb/AM3sDjgQRP7IpV7aOaJHc0q33i5u2TSI7mJq9kIji3GjzoGgIamIL+ILY/8Tobt5pwm7uKoiZXJ6flVZC96u8hdY3fn/Rt1gY1UoHHQO7zhdpA4POVufyD3ygDth7f+uG4EDdOS4qJnBl2Xt37Kmd/drmmiCtEB98c9Jhfnrq3czprm2/CGdAHYUkx9ch6WM8jaGhOGk8t/jko/x4lJ16pn3eeMayYamvoOi5NDOHIvt+ENKY9dNl4FuyYqbxwCinZUVkfs/eRng8UaL8z3fEICv5eBr6OWGScA5GEN3kZHB0E51ZjGXT90VfZmsAP4Dan8Kn5FGVdY+/4aSGPAer8rM9LXl8ZEkqmpYGNi9cpJ3DZ3xvEvDlz+OjEN/yNRuYsN9+c3kFJ0Rf4mp5KrryS8685qUee88HTr2rd7ylvV9XYrp9zTlekztLy/A1aer0D7e563Vy5rkun0+VXAe3dVMPiOzfw2E/WsPjODWFlreGKooHfme5MiQuc6RDYYGcE/p5hpH0M/ATnUFWNQ6D+Q9ft+Dzk+cMP3j7fOky9mlPlZ31mbnqpGqT0aCW9mFwdnNL5IhtSfqY+p4YO5o0qpfQX2pVm08qV7Ft5DM5qN5aiYyg4Po2SWd1XtKhmIduKliKBi1tauc2yhGJRT5UcwmOmq9TqL7ObgglHQl7uUvuZmGf8kTkTh1Ko44DqdoRq/8HzOf8lYGaDD5vbzfzDns98b/VxMc0tthQV+Vf+yvRf9VbP77o5JS5wBm809HSWxEDAWPkb+Aledasah0CtftBTgKR2NCibZWJZzflWqZtGvIbD1Kn5nXB1UFz5Dqn2QyAlqfZDjN3zIhnbP45JrZKIBh/VKheTg5yCFSy0PsUwUz0mAcNM9SzgCbKPbffvkqQQiHSpKer6X7OAme41rP/34yzbVqk74jG9VZ2rLs5J67L6cEmElBQ5nJTVN1Da6pl+s7FtXkxzi33F0mBLjQ7bYD494SpqS6YDvTMlrqezJAYKRvA38ONTS4ztMHNDUyqfnPkAG866n5qCrpShnvpB1fFpcnUwumIFoN36+1QhJ1z1LZ5Z/SDbp7rZcPsFzDFv8NgLlOV4/vV2n/qC22f5W3ln1Ev+VM2RlAbG7nmRsZ+9zNT3F3DBOz9n6vsLKKzdgrPNzJTM5xUNbA5sZ2tX0pCYBh+91Wynpc3vtOkjjU54+z6/+uvH8/7C4xd9G+uxarVUuujkZl7i4VV7dEc83nXu1WHVL6WjSll9+gJ2VNaz+mCVP/BjTaPFqaOG0tnh+WTLFcfPCbHUcJtT+XyUZ0JapFnEPWXZtkqWPbsrpgvXQMVI+ySQaEYmJpJYt75zJg6ldV8T9WtrsEhAQIctj0/HXg0IhlkqddUPGmXIIXvXdj/AldFZXa1UhVTfvQC+el87dMVnPwBM+zKNvz5uIq3ByaGsTbx43gdsmOQJame/r/Y8sKS7kIDb1Il0e4KR3dzKhuOWcrBxJ5kVLs1nEe8Gn/KKcoQQqAQVuhYPAQ1XVY3tVDINHLDI+nhgVstPsTjkT9WVjirF0XQq28uf5PrO5yn+5GrsaYUMPeMWbt41JlT9EmA1TVouWNJo2t1O7Se5OFvBdnYTdmvozi+cxj971izs5WuUv2ttN/nPE0jI34WvMHyTywqK9r9oZ0kMFIzgnyBU+d6y98oAeuUCEM7XP9wFwLn9sCfwB+A2pfDVtBs5P8KUJV/Hp+4EsKIi/RX2P5eSfUmQCsbRTtMTZRxcn0KG1zc+vxlufF0CLjacZObF80SIxXGnBTpOHc+m5utx09UFbPH63PgKjIGfQ2DOOvicY8X32bulO+R3VpHKNXpBKKARyydvXOGexm1yidKgrUoO9qfqlm2rZP2/H+c+8STp3tRYens1Ez9awIbZf9Yqd7zWyv4LbXsDTQeyqP6wANnpnRmw7998esLVmiJ+NN490Ri+hZtF3BN8goVmYSFbMcs4Xs1pRwtG2idBdEfVEE82Lt8f89a3aeVKWg7Zlb+LZdUUrlnGUaWzwm5RS45r33dg6tQ+t83p8RUCNLbTbqA+W3D4mjP5KP2qkO5cn1U1hKZk4tngE/zZH183iau33sONG//EDZ8sZMige2gnKBAFNdcFNiz9wTmXtiCDtjaZwp+40p/C2V7+JAvF4yHpJIvLHurfo7Cart1m8wd+gMLaLYzd8wKpnZ4u6miVTj01fOsJvl3QuzYnjiAZa2+dQ3/CWPkniO6qGuJFrH7rvnRM6ql3eop1QcSyatJrllk77DRy03MoaFNMvspUOzs629Rf0cHNHtWLdKWxYayJDSe1URSQQnjsJ+r0w6COXF56yEljtpmmvJWhDWu/fxBnfROWdCcFZ3V4BrJEiS/NdmnDb2hJOcymEa8BcG7Flf5+Alez4KvdQzlwzpOe2QY6A1MCG5ZWNk4jz5rCfPEvsh21VLkH81TK95lWeoM/hXOb43EsInSnAVDubGBR4OQ1ZwPB625nW6hctLB2C8fUbuHz1/+X0lEXRPUexNIYFm98u6VPUz1pNd8oyzazYE4PejOOVozgnyC6M4YwnsTqt+5Lx4yuWMGnJ1ylKdp1Z9Wk8rh/eOEaxpx4UUjjWIfZSvEPZ4Fi0LplSDbO+qaQx69Ly6Hl067BMGlWMz+7bDylo4b6X6fq9ad2NGAC8ppcIWMBs49tJ3vmF9pz8I09jNDwFJhmE3gGx5xbcSVO0RniBursdLPxw3xKfhc6KD0QrbyxFLgX8Ay9Lgu84dv3haz4fZRnpFOWn4fd+12sbq2mLD8PkF0FXjw1EtWFtj6LkBRZJHpi+NYTbr3wBL98+NNUz3++ZrCSiUbgD8ZI+ySIRKsaIhHr9ttX2PRs91/USCd70tEaSFVjO+uGT2LRqVfwdVoObuDrtBwWnXoF2Tc9qJwsVfCbu0L8fuxmK8+Mm6k5Fmz0FUl9BAo1jyIdorQ9VqBKs1ndKdhcGcrbx7X4qDeMHViUl4s9qFpsF4JFeVo1T8FEe4hxnN3iMZTrrd1qTzGawWLDWPknCN9K6ZXy1Zyw7xue6U9ZkjFjToZRobePd1NKrNvvwIJnYe0Wv0rHUlzMmMnf6fZ5BOLblq8bPkkzI3eor7/AO+UpkOwJsOWLw1j/+QSD2w5Tl5bDM+NmhszYBW2T2q4UF+9kuTn5kJssacJmPxSiPgJwVAcUefWCqOJ48MSnlpI7USlM9Mi0NHgkrTozcmNCZxi7W5h0u39rLGbPBbbpAAgz2cObWZI7iJnvSgY3eyykXzxPsOEkM0W9tFuNB7E2gw1kjOCfQMbUTeKsfRn+FaGrWSgVN91V5kQilu13omYLBBK4LfcRyXVx2bZK7qgtoH3GXV3npXPbQOXLHUs/pt3p4j2vVfziN39PQWtryH0OZQnKK8opHVVKU20xte87cLaZsaS7KJhwxNNgFWSH3LRyJQfvuttfiHZWVZE6okFZK5FIXLiwBPypWUQHU9KfQTMjF7p/AdAZxm6a9SiFe5/SST8WwcTrNfebdsxh/uenWsO33tytGvQuRtongegpbt576ZOobtebTSmJmC0Q7A0zrtMc87Zc5eXubUHQEHgRCb6PJWsb/zq/U5nWeOFcT067aeVKqtdbvHlvgbPNwsHNOdzRXMyEXJjxj5MpX3c3AF/+/n9DFEijK1ZgcoWmckyYEALazS1IJG0pDZ5B9oGzjaNMLekyYS6bx99LDfm4paCGfDaPvxcmzA2ffgxKc5W2tlFWf8jT9RvQLNabvSkGvYex8k8gennd1jZB08oupUmsypxEoTuIvBvo7WbOv3osG26PTjkC+l7uEs/FQ2XdG3yf1PxVbBgqwSS8w+a1aQ3RWkPt43/SSB0BTC7BzPXw2imCajOUff5vAI6rrw05H186adfYH4BJm2oxSwtOcyd/O/MuhJTc+oViAlqYvH0klm2r5I7Nx9Lu6JIRp20289DwSuZMDNNU1XR1yGOVtrZR2truGT5jcFRjBP8EEk5xUvvIE/5AG6sypz8QbjcTSypLz8t9aE6a7kUk+D7C6glkG04ys+Gk0NsXZhTirFYH38DZuXaTYFHFv7kzLYdjFKZ3hbVb2HXitcrH8TmSFqrVmPoD76Mg3KSrOROH6jdV6dQKenIuBv0HI+0TJ1T2t1Nmjw5JBfgUJ4G2AT1pjOnO9KRYXkN3Cbubee1XcG8elGV7/n3tV7qP053pTMH3kTrultCVAtHr5D2Upf25xgQrTp+N3aydxOVrKdIbGu+i1fNco76tnp42ZgZtvx+LuyyHZ/9QwplPn8n4wPGKXlSft2p3ZMnaRuPge7QjGoOZvoDyrBxmDCtmwsjhzBhWTHlWTtST3Az6N0bwjwN6LoIA42pfD3GcLKzdogk20YyyUxFPJ8p4OyHq7Voy09pgy9OecVvg+XfL07oXgO7I94Lvk946C6sIPZ/slGx/TlvV4euTOgZS6IZzfnYNf574HY1cdeXIKXydlsOoihUId9A4LsDiTuWuyh9Set79oZLWU67Cue0F0tureSMjjT/nW2m3tEPQeEW9z/vbhz7WPlfWNmxFSzGlNIaOaAygPDPDM8rRakEKQbXVQtmQwZRnquWpBkcXxiSvOLD4zg26aZs5UxqUKpp4DGrfMe1crIr8M2YzuN0xjaEL9xrmeT19YpGjBuf8wTsFK+2PlKS9E3oHYYZ71KtmjQlZ9jAYMwP2rdbtjg2WYRbccjPrTzJFNBMLvJ8jN42nzm5n7fiuHYTN7eaazAv55Xf+yHG3lyvmYIFZCG6rc+K0ZIb8zuZo5LqnL9O8R573006mqY4pmc/z85L9yqlcRRlFPPa4S+k/5BhSwHfPv8Of+skYvRBTSmhayiRM/G7a7/yve4bOHICijCJWX7Fa8eqOPvrafDHRhJvkZeT840C4FEei5oIu21bJGFXgB//MXL9jJkR8vkhF51jlqLp9Bm8oAj907QSCCTYhazrg2Sn4CJJK6rmGTrv/PkojBLTggvfxL/+KnU2rqLMI8p2SwXWn8de2GYw4vlIZ+AFcUuI0q1fOdku2//+176egxV3A2uafkXH4/6Dgw5D71rTW4KxWO5haD9Xx0GXj/bNrTVZ1sdYt3Rpzwb62IOlr+tp8sa8xgn8ciFSwjaeKxsfDq/bwoE7hMRBfF2uk54/0GrpTwFX2GfzHrA70Qt2MpOy6DcYnlZwwN6wvf6yfwf/tv4TKRs8QkmbAI7z1FFLNQuBS7JrNQmBzqu2Qbc4umwrl+4mNsw9cwmeK4F+YUYilSL3ytxQVaZqbZryySLmiB62jaV9bkPQ14cwXB0LwN3L+caAvnAyrGtt5ZtzMkMKjimg86SO9hrjJUSddG9vxaCWQ3tvF05dfT2Za1djO9yYPV/7ue5OHM+kMGyaX1mvH5Opk0hldNQW99y29MxebW3tR8BWlo3UeVWn7A/Gt7PvagqSvGeg7nz5b+QshLgIWAWbgKSnlwr46l57SF06GxTlprMNjcXDtrjfIb29ECoFZsRqNxpN+X/5W3h/TZUXRltrExuErePVAFfPz55OZl9MtOWponeA2Sk4Htj7j2QEIsyfwX/JH9QPoyRGDESbYsaT7vvzBdYXpC8hJz+FwW2jxtjgnjR8U5TO0rRJ3h5XUzgZG7V+Bxb6FNyx5VP7oTqbgZuvmRuyWbGzOJiadYeOLyafw7I8XcumW5aSe8iu1e6qpnl/UOfhzXg7tlnZMrlwuGf5jz0rUawsSKYXoW7Xeuf7OkJkCx9dN4uyDs3ls4xoy83L49dn387T9j3HNeatqLvHe+caDgb7z6ZOCrxDCDOwFvgUcBDYD35NS7lLdPtkLvn2B38IgQN89o2ob87e/ouk+9RWXvy44Q/fiFJz79DF1p4ur1kmGNEPV8eeyb/h3cAcMyTCZBdN/cGLsRd9YjOKCc/7hsKbRlHMd1X9/XZP6sVtgyawMpv34XmVgK193N4v2v0qN2USh08X8w41caHfzr85vcL7Y5h+y/gfnXFa4p3H9iALydzXjdGqHxo/d8yI5DVv45yWpXHjDg5rnWratktcf+Sc/3boEm8vhn3Ub6J7qFHBk/CBeqD4UYoHRHYOy4M/1+LpJnFdxJRa3dkBLvIz7gJCaC8RP4BBvyivKWfXkXVyxpsPf+PfKBaGfXX8mXMG3r9I+ZwKfSSkrpJSdwEvA7D46l36JSgJ58S0/ZNiD94dYNHxdcEZYGacq9zl1p4sbX5fkN3usFMzNrbhdwTYL4RcOcbGtmDA3VBp5+nXqGoGjnezO5RT9+GIcmW4kUJcFf7tY8NrYDsrW3x0qd6wop+yLf1NtMQfIHfNYZTNxtelNzZD1hdanuNS0HvMn2sAPnjm1+0ddis0JV6zpCBna8/CqPVz1cbnfyjrYPbVJuHnD1snTX9XqNmzFSvBs37MPztYEfoi/jUgiZiEnimk73dz4hpv8Zk8gzG+GG99wM22nXife0UVfpX2GAoF7+YPA5MAbCCFuAG4AGDFiRO+dWQKIVk4Wq+wssMi3d1MNG1/ez/MNGWSedR9TZo9mjHc1t+zODWGLtaoc51XrtKMR94+6FEzar4t0wVuLd/HmP3cpU11xqxP43D59qZkt/wC9C0/TQbKzl/Prn5hCJJN26Qgp5i36cFGo5bHJxKLcHI3fPXiGpt9mWcIy9zeVT92Rmgd4uoKD39Oqxnbyg4rzPvdUCdSm5bB33Ew+VbiV+u4fEUXqqnTCXP/rfWyjesDNkYYOjru9PMQmozvEexZyPFm2rdKviCrOSeOvr/0v1o4gS48OR7fEAf2RpFX7SCmfBJ4ET9qnj0+n20QrJ+uJ7CySDDNSEFblPgNtDaArsAXjSym3NHTw1nO7/c8JcbatiDL9s5fZbNw3k0vd+f5pWp/lb/X/vibodeoW/XSskIvFIZqFVM6I9XX3HsrS5o2bVq7k2Tcf0nUjFcAx7Y3M3/4KgNKu2udYqotKEhvkFqr3eRxJaSRj7D00OnK4c/VMYF63LwDxnIUcT4LTpJWN7Zh1pNLJcKHqDfoq7VMJBMolhnmPHXVEO8u3JzN/I6VXdLttvcdVqo9gWwM924JApFOy5uW9/p/jqoKKQvK5t3M6a+t/QIu7QDNN6/i6rmBa6HR5AqXvZ53iXqFT3XdQJQfzrs2JFNrf+2w77BZP3tinmPHlwIe0Ho7o9m9zObh21xthHUt1iWIQjerzcJg6+WDECoQAU0ojpoJXePCdFyKcqT7xnIUcT1T+R3VpatuPvr5Q9RZ9Ffw3A2OEEMcJIVKAK4EVEe7TL4lWTtYT2VmklX2kIBycG85OyWb5NzM1Fsgey2L1qMBAnC1duaLu2lYoCSv59NQCNnb+NCQXHzi03eZ2M7/hsCYgKuWOUjI/51ScQcfbZAp/cM7ly0zIPX8omZkuQJLacYgT9ryI2b6FJXPyNAVDVQ48HPntjVx91ojYp1FFMYgm+PNoTmnknVEvaXZGwuSgLaP7/lCJsAaPB6q0mUoqnQwXqt6iT9I+UkqnEOLnwCo8Us9/SCl39vZ59IYkLVo5WU9kZ5HSK9FIUUOcH78HTVO63p9hlipyJ7n56CvPc7mRmBRr2eagIeJxm+eq60A5nPLZv+eh9//IlXtUZ+Rx1PzB1gWMyHmJUtNbSNr9t/O95uBay7Sdbj5f9bl/mPvgCS3kHtvGnSkvc81pIznj0otg7riAZ/FMOzsHTwpvhndg+ktVjhjmewE5g3jg8++xt+E4NrbNo6XRRtPLX7C30xz+fYzSoTPw8xj/zHjlZBy9DuFoSURTY09RucOuGz6JvPQUfrr/zaSXpSaCPsv5SylfB17vq+fXswGAyFYIsTD/tPkhMkpVI020t1MxZfZopaQyML2iDMKKAmGgR47qj/hU779X/XYNZ9ZLrAHRw4Hkk8GJ2UzuHf4AGz/roMU1mExTPVMyn2d4+gdca5/IrnfuBpODlpTDDOoMrU0IBOmdg2msvY69WR1kpO1m87ZK/2o6+MIX8t1os1C7OQszksKRdRR+fA+MzFVO3gqu3dRneVQk0SBSrAw7qZq91aewtvmnOPHsPMJZaXQtYFxY0o+hYHyzZ/oYeNxCwzh0ZqcU0OQIzXtnpxQoX1d/9sDRmyJ3zs+uYczE2/vwzPqOAdvh21uStOCUit50pGhvpyLW9MreTTUs/vWbPPZ4Hov3/Za9bdO6CoQB+fBwzL38BNYMctEk3Eg8UsU1g1zMvTxCbrob7N1Uw9p3c2hx5QMmvw/O7rZz2J+/B0wexcamEa/hMOmnppzYeK/lGn7vmBtWOqn8brhMfLIrl/KMdHC0c/CVO5i6cA3LtmlLVcG1mxfPEyETxITVisjx5pvNnsKypbiYomlOsoc3s7Hl+/7A7z93hSRT6/IJzlYz1VtyafoizSOJnfVo2NGQd5z1qxC3U6tI5Y6ztA6rvgtadWt1WJfQviSStbkx3D2UpFX7JJrelKTpDtPo5u1URJte6VIGeYKOL5ACntGCXo+cSPj+aAKlc7deeGJC/pj0fHA+brmCTssD+HIXvtz15K8uIbMzF6HIabS4h7DCPQ0RRjqp9x3IaYabh3h2FjNbDlHZ2M4dSz12yr7XHVyj2XCSGfA0y+UfEeFTC2U5/nNUEZzaU16knFD71UlkP/O27uvzoZfyCv4OJrsHTrS7eGO4u5YBG/yTVZKWaPQC6caW73uCf7ReOjuWMGfdfcyxH4RjfCmj6MczRkvTypW0HEoHoQ7khU6XRs//Wf5WPsvfylVb7yWrM1TNcSSlicyx92By5VJeoZbR6n03DmV19QCcciQd0E7MAk+NJuOLYv8FyCc3feC2qog2yW1phaS3V5NpqqfFHZp6CVZtxWMBE82CI9k9cOJp5jeQGLBpn2SVpCUaXWWQb7UZzQg/n6a86QAgY04ZBeIrjqomTvlWdHoy00xTPfMPN4YYoUm3lfez6hAW7QUjUNYoLYd1UxeRBrvUWMz8wdm1O6pqbGfZtkqmLlxDyoeXcW7FlQzqzPPLTc+ruJLrbPrTysCjQ1/QejltMoUpmc9jQRvMVBJZvYVKdxYw4dImunLYJPHASebGsmRmwAb/ZJWkJRpdzb+pPmKB0E8UmvJoiJRL9q3oBtd/DCEeVJKRKZspbW2jrL6BIocTISWpjjTSmq7kh5dfwjevOdH/eo8oZI16fRS+70ZDthk3XRYRnhQOpDjTWeGe5r99TrqVO5Z+TGVjO2cfPh5rkIWCxZ2C/b1BYd+Lh1ft4ZXOs7ndcT3ptt2cm/VX0kz1SKRuDSdeC5hIE+GS3f0znhfBgcSATftAckrSEo1SGYSdKQVvRCwQ+olCUx4NkXLJvpXboSHjFWkfwRedZ3AuT1Ha2tZlxZA9HG65zX8rX8CcsHiC0otIL3WRPWsWjSeZuDlIgSXdVhprL/X/nGY1IyV+FUmWovMXIlta+HToK9zTWNE5zbMsywKBnc9/N133HKHng4IipU2irQ30FQW33Kw0kzvad/E9ZUAH/4GIWvM/jpLJF0f/IFFqyiMRKZfsy73rWUsoC6M6F6Du9FGogt7UvGtY/fVQqmj3e+HcMkbiGwAAIABJREFU8n/b/ffRs36IZGmh0qH7jocjHguYaNImPREjJJpETcs72jGC/wCku41Xfq13nqAwayjzGw53rbijTRkFECkg+1Z0qR0NSu97gWRv2zc8hWofOheg7vZROJpOpfWz2znS2M6gnDROufAE7rldqxh5eNUef+B+1+bkonarpv8hGkuL+zIOYlnyBEPaDlOXlsMz42ayadSZaluHCP0ZsXI0iB8G4i6+pxgD3A2iQuX5b5OSsroGSi15MH0B5ZkZMaUGlI9ptmn6G5pWrmT7U6vZVXCxxvvehwU752c97rkAWNP8qatgB8dbLzwBa/Z2/fNTBNRlrqnKxqCHLhvP+Qc/7Br2Pjifv4z6FquLJwIwtsPMuR1WstwiqsE+Kg/8DrOViivv5kh7sbYrO+3dUIO7gNfdHfqTB79BbBgD3A16jDI/LwR35B2P47R/Yc3c3i1XUpvF1vW4rnQaK2fxu4NpOC70dOBmz5rFubNmUbSphrcW7yJoMBVObKxpu4afj/2CGrOgcO9TTK3v4KW1+RoHxzuWfsyzZxxk9YEqb4B3Q0mr50F0HDG3yxtpd5ypeb52h4t3H3+OsZtepDrnFPZP/gkdqXmc2XGYwoZKnssbypFjUjgxBmtkVc798OBT+PrAINwm7QwG8sopQZseatoHtT+6B2drWbdSHt1Nm/SXiV2h0+QSO2Wvv2Cs/ONEsn3B4t2Or1cwlRJc+x9m8IkPK60CijKKlPr24FW/Z2oYDG6W1KXl8OL4Ui6+5YeaAPrYT9R+9BLJ36YEFPfcVtqrL8PZPNF/6FLTen6f8jRpBBRefSvmt+9T1jAOuocwrfPRkONLVt1N66CTQiZxmdydTL/u1Jg/990njgtRM2046z6dMY+1zCu40f9z0xdpVG/ORrq6hHu9sWoPu1s4tj2uaameEJdpcv2YZJzkdVTh+4LpTcrqbRLRjq9XGJWOHNodLpo61d7oekXdwJ1E19QwiQmPt/1Pty7h3cef09xHr2jaknJYe8DkIDV/lebQbZYl2sAPXfJUnSJxsemQ8vig9jb2j7o0JA3lNqV0ayqWKreuX+TO1/xcu2OQJvBD70zO0lUI/f7BuPWAxIO4TJM7SjGCfxxIti9YT2YD6KHSeku3lY66CwFwO9Te6HoXjcCLQvDUMPB421+6ZbnmmJ4f/aYRr4U8vghypiwW9crz8K9OFdjTCkmzaoe6pFnNWNJd+sE51illqPX6ts7DyttmZro9OxYvzjb10JlENzjpKoTqm+LSAxIv4jZN7ijEyPnHgd7+gqmKmXMmDvUXLWtyUdohBAbc8opyFr3/EDWdjZ6h5Y3NlLa0eHTyim26L2V0x9rf4zYfZuoOG1e942ZI6wvUpZWz9OwJbJzyYdRqmkClT/DUMB/uQcez+M4NmlTa+VeP5b2XPqG1TZDa0cCwqpW4Gzdzy2f4h3C/eJ7gv2MGM7bDzDl2C1lS8Izp70zLfFarDAIOugfzVOvl/Nb8BJbAC6Y1jfSZ9/GQa3zIe11wyIqtrQG7Ki3TjSllqpz7pMnpbNplCnVq/c44SHvUv2OxZAqcLaGPaSkq0k1FBubqHfnZPDMV3jyhBbcrDZMwgbmV078+jclfXYzLOYTMTDdTvjNekybRVQilO0OOATH3gMSLuE6TO8owcv5xwBeggsnMS2Xe76bG9bmCx9GBZzX67BlfcsbH94CjnRnDikPm10JX/r28opyy9Xdjl13zS21uN2X1DR7pZhj1yLJtlbz+yD/56dYl/mHkAO6UVOrmX8bvstdHVWcIzPk/9pgzxPa4puB0Ph17NW5TV7esJcXE5HFt2J64S5NykGht6e0WeHHaJQzlIq3kUnRw/qDH/BeANpnC7Y7rWeGexhUp73Ffxqukt9dEzlPvWML2R19mo/iRJvVjsUjOv+akuOWSo6kj6eXe7T95kE270kMuHqr3z27RdjAfXzeJcyuu1HQqB7823Zz/2R1kFyiG8mUPh1s+6dkb0g2MnL9+zt8I/nGgN79gUxeuUTYDvW+bTyF1AJRnpFM2JA+7qStFEiihnPHKDKW+vsjhZPVB72ouzB/rjmnnYlXMP7UUFzNmTWQ3SR++ovTMpQe48ENtAN9w1v102BSpFSlJ7WhgdMUKCmv1vxP/nXIfjlTFytzSwDVDrqfKPZg/OOdqbBqG5qSx4fYozel2LGHv0nI21s6kxZ1Pis3J2kwrG53tcRmEHgsq1c2yjXnKBYnN0cjZG+4KOV6XBTfd5FkwXL31HuVchODFjFLtc2x73KWoPSXZxBi9iSH1TDDRTMqKF6pxdAAFss4fPX2NV4tyc6ixmCnMLNaswqMaWh5mm249VKc8HmueuXRUKdN2uqnetQAZaGQmBB22XPWdhKDDNphPT7gKQPcC4EjRyck78xhtf0GhW9J/b5VMmEvJhLmUELgb89xfZfWcSFQNTi3lamWU3ZKtPB6YesvsVL/3wReTsI1VSaL2gThOkzvKMIJ/nOitL5ieDUCtyPev/IEuv5vs4XCtVmqp21kbMLS8PH8Yi7yjCINTOPHsCFXOuJUSm6MJu1VdRAZwm1PZP+pS3eBv7WxQr/zzUinOInorhSi6aVXDwYOtnrtDT1aserlum7NJeXspPKqrDSeZdSeiRZ0nnzC3T4O9QXQYap9+xq0XnqBUoBw47VaNCgTQtVyYf9p8bEI7uNrmdjP/sEchU56VQ9mgFF2paDztsPV2C6P2LQtR9gTjU9wEr+LtFtifvTJkqpfD1MmU2aN138MQK4Uorav1dgwx7SSC6Kl8WKWMsqSYmHSGLeSzAzBLuPF1ydSdLuVENItFRrSoMOhfGMG/n6E3ju6MS2/05FWzhwMi7Bi/0lGllE27nyJrNkJKihxOyg41+ncKiwqHa4rBoJWKxtMOW2+3MMxSqRlNqSK1owFLupPmsXYassANNGTBcxcJXp+4jXdGvcSRlAYkkiMpDXx04huUTC6MfqRflNbVeuZrkUzZwtFT+bDeaM9Tf3IxRfff5x8fGYjNCVet8wzE+WjkvzBb6gBJZqYrroVsg+TAKPgahKDXzSsQ7Ji3I67PFY2vjKqg7kBSl/EJd2U+QLoIWKVa0yif+mPKDv4nrGdQVJTlELqvABBQ1tVHoKfA6smMWL1uZoCbnuj5xDRVVzEAQnDi7l09fnyD5MAo+PZjdDX9cSYwv3yN7V7eG7ZcM/gE4j+5yacWkXa7ZyXqcmEpLg7xiPGtOJc9u4t0l6RZSN61OfnUejxHHNdzZ8rLFFLvz8mXTpgLFWf13N4iSutq9Txjbe9FrMVPvZy9OcutuHXsHA1OngY9wwj+SUzwijJuKpKggLR3+AOsfTfHv7JOt2dzXsWVQNdQ9HhPbgpZ8btc/rqBKn1UMrmQkhRXyAr7rexBfDj8WJod6Z4gn5lBKXHyn5++QC1bVNRRlMPBFYZxzuW/4IEVO1nccmbYi/mU2aN567mdSGeXANZh6uSdwlcZXtFB6ajSHhWE+9sAlP5iItefMHL+SUw4FUm3URQxN67tCMkvW9wpnH1wNgJBUUZR7CmTCISbHqVHcK4+v3AntqKlNDlq4+ZhpGHC3KjrKEoUNQOLy871nc8j6bqYL9sW2hRVMrmQzSes0NQs3hn1ErsHv8+iDxf1uCDcn8aYRhozadA9jJx/EnPc7eV6GWc+Xxh9INY4fLrczD90qGsIC/BYzavorQMC88vxbJaJR845bLPaEXPC9eXLtlXy7uPPcemW5RS0N+IcUsCxv/l1VwDVqRm4pWBUxwv+n/Way8LVXv5nz197rau8r9l3wXR1iirGpsKBiJHz76d0d7RfIMHWydVmQdkQj0TSdwHINNXT4i4IuW+mqRYeORmmL2Bv+zmaomtLQwdvPLOLzV82cPXccTG/tnjknMM2q/lkmRDTBSCSFXbgBbDTbeeifZ9yTLun+Gutr+XgXXcDXr8enZpBldT2H+hJQsNNOksWw7LeSMdEM2bSIHaMtE8SE7UePQxKh0+TiUW5XQ1UUzKfxyKCdN3YmZL5vD+Ibnz549DUkISv1lUr0xaRiEevgF4B2t+sFqObZCQr7OBUS4rJxv4x36WmoGthZers6EpdTV8Q0nvRJlP4g1N7MdK7mKucVH21Fz0JbG8alvVWOkZvQWAUp3uGEfyTmKj16GGIxsqhJHsL50+3ewOHJNNU2zUaEcDRTkuL+qsyyE23ahDxyDkrg2NAsxoQk5tkJCtslfbe12kciH9FGlQzaEsrYoG8QeMnFO5iXjqqlLKzyyjKKAqpveg1cfVmI1Z36jbdIZ5NhQZdGGmfJEepIokB3dSBGzxFTI/8sGTCHEquQDdPnWmqU6aGmoWkqtEecjwaejp025eOWfThImpaqjzW1IcbNfUMPa9+FboXSu9xvZRKsLe/ZkUaYHWQDkzbVsnGGKS7eqql3vST0qO30jHdHTNpEB4j+B/lzD9tvnJI+vxvlIFKvaOTp55S8AZvfD0PS8B1wYFHb9+TTtae4g+OwbJK0JVl6hEuxw762vvUjgb//7tTUsOuSHt6MQ+krw3LerNXoKcLBYNQepT2EUJ8RwixUwjhFkKcHvS7O4QQnwkh9gghLgw4fpH32GdCiNt78vwGkQmXOlCiyFNjTaPkslKGnF9Is0kikTQJN/9Jc/BlJjHVIBJGT2WZhM+xg9ovxy1dDDn4NhJwDClg2IP3D5ggZaRj+jc9knoKIU7EY6nyN+DXUsot3uPjgH8BZwLFwFtAifdue4FvAQeBzcD3pJRhtX0DVerZ3e7QRD5vIjqO4z1sPpHnsndTjWaS2JjD73Lq9TN6PeAn0qM+ls/YaL5KbhI+zEUIsQ5t8L8DQEr5kPfnVUCZ9+ZlUsoLVbfTY0AGf700Rh8OxUgEwVJU6KYPTy8RjRdRoknk8KBE+BQZ9B3hgn+i1D5DgcDE8UHvMb3jIQghbhBCbBFCbKmrUw8POaqJ0lGyv5OIYfOJpLcULuHoqeNnOBLSVW6QlEQs+Aoh3gJUy4m7pJTL439KHqSUTwJPgmfln6jnSVr0JIp9NAg7UURS2CQbydBwlMgGr0TMJjBITiIGfynlN7vxuJXA8ICfh3mPEea4QSBROkrGm27lcL01Atl0kK8ZwkOd32FL1reiqgdEUtjESjzrB6q8ejK4YeqpjuLR4BWPrnKD/kGi0j4rgCuFEKlCiOOAMcAHeAq8Y4QQxwkhUoArvbcd8CzbVsnUhWs47vZypi5cw+bRv4h6Mle86E7H5vYHHuXpRwSPfbqIf3z5d2q+msBD1qeY1PymrmlZIJEUNrEQqUM3anYsYW/ZPNb+88MQ47TWuf/TqwqX8opyZrwygwmLJzDjlRmUV5QntMErHl3lBv2Dnko9vy2EOAhMAcq9hV2klDuBJcAu4D/ATVJKl5TSCfwcWAXsBpZ4bzug8RXZKhvb/W6PP9h8LJvH39sj6WKsxJrP3v7E62z8cgz21MEgBPbUwWw0/5i9B77BbZYlUeWKY5aihiEu9QNvoX1j7UycaIO8s9PNR19l95obpt7FbF/+VuWUrniofeLRVW7QPzBcPZOAqQvXKLfaem6P0RBr+mPZtkpKvvdNhOqXOk6bT1+3VDlk3dZxiB+O+DGjOl6I2YG0J0Q7gSysTPL3x0F7Q9ROp/FClW77Tsef1a6lGUWsvmJ13M/B4OijL9Q+BjEQ7yJbrOkP386jNi00kIN+PttuyVYfT8nzO1f2Zq5Y1+gt4HhYH/wdS6Dd062baapXPlYijNP00m2jP1CnzJK1GG7QvzCCfxIQ7wHgUaU/dizx2DWX5XDW8nP5lusdnhk3E7vZqrlfYD47uC6R6mhSPr+ts4E/OOf2eq44mvpBWJlkgIx2SubzWNC+hyZ3J6eM8LxmVS6+u+il277/jnIfFvdxmgah7P3/7d1/cBTnecDx76PfAhkJChQE2CYuP0w8FIdJANt1OsIGkkBwMo5Dpk3JOJ2WiZPUjseOgdaj8ofbDp0mdOyOhzGekhTHZmqMgz0uxQGXBAK2Y2ww5YcZ4lAEMhiMFCEJ6aS3f9yduDt273bvdm/3bp/PjMfS3kp6d5Ce233f532e/e1sXLWHp1bsZOOqPY6b5JQSDf4h4PUiW870yYxuXuM4zz9WP8OIG3pYN+tePqpvYhD4qL5paD7bal3iuDlHxUB6KeiKgSt0m0P8ZsTdRZ8rdrJ+kDVNMiWNduqwXzKn7xnqei+AMdT2XmD60U3UPb2aNzas8WZhOcEuTXRk54Bni+HKuUK7pJUKLewWAlkbgOchZ/qkxQayYdLHo1WbuWPSv/LGpNlAYs1hScvQ2DI3/2z+w0n8xcVT3NA/mt6qRupiHcz+bB2zVqzhe3mNvHC5evdmTZPMSK8d/u4hbus+knaeAarXb6b3O+l35cknq3wWqu3SR6vHN9N62w9CU/oiKrI9HQZZSM9rGvxDwstqj7aVPJN3jDYbxZrlwtDHmU8edusPPx01oWgLul6Yt/Qmy9II85beBPXpDdtj3ZWW36OpYwCrP5185+KzNVOf4kUjeuVKWLqk+U2DfxlKq3Nvdcdos4HsnIxGwPLJo1w2/2Svg59Io00UtatqEGJd136PS43Wbwr5zsVrvfpw8XMTXZhoqmcU5VE07m+3HmLTvlNpiZT31uxlzfAXGdbT7rrqaBiqQeZKh7Ur4tb+va/wSO22kilG5wU/q4iGjZ+F84pNG7irdDPT73BzBe6tB9p48TdtaYF/acWveKJyAzU9iTskFw3TM4NqMrURKNobwDWN7ROLtnD1ycnujnz6kiW0npwdmbn4zGCYXAAFSi4YOhGGLmnFoHf+IZd5d3rnxDvZfXp3WtCZcn62r7XdH978HgMZvye/qvk+E61y4etHwQ9/m/V7ftAy37o+TnMzU3b+Iu+xurk7XfCfC5xtoCqgblGqfJ50wvB0BLBx1R7baZDlT9xe9PEo5/TOv0RZ3Z2+cOyFodfPXj7Lxq1b+dOTdZhYPPvEy7uyZHpnZuAHaBbrTVD0XIwHzCx3/35UxnR7d+qommjK9JgA4zjPP1Q/w2OdsHJLPMXVyRtAPk86YXg6SorKAmjUaJ5/iFlt1sr0mQ8XDgX+JD9ruyedMaPtvzBHzwG7HcOFVMZ0W+PeyW7gbCmxbmrc59MDIAx9A5LsFjrLbQE0ajT4h5iT1MGGvpGWx/2s7Q7wY5ZZVNFJyNFzwI/er27vTh1VE82REuu0/EY+Tzph6BuQ5GcVURWcsp72CVNv2HzYbdZK1VXzCdf1jbrmuJ+13Wf0VfJHsYX8W1cLDRXnmdfwH0wd9surJ9j1HEjMnzd2nIbbmjl3sJHYhU5P5rPdpufdcXiQDeurqDoX4+MR8NqCUdxx/6r03w+blFgndYtS++D+ZFgToy9/cs052Z50wtA3ICkqC6BRU7Z3/p7Vdg+Q1d1ppndu3I5Upd+D+1nbfeZANYv7ahnoigFC1+BYdnV+h+PdfxI/wa7nQEZJicaxbUz5wofc/EIrU3b+ouB5bDd3p8n59OpzlxBgTCcsf6WbOw6nTxsx//Freip0m5qcdYsyS2FsmL4oa80kK348HRVi6pxxLH/idh54uoXlT9yugb8MlG3wL7XesFasatV8fdrX0z5ffs893PXNTxettvsXTR0mlv5mE6OOX3f9efaeAz73JJ46Z5zjGveO59Nn3he/nsZJGIR2xrCy/y9z1i3KXCt5Y9Js1s26l4+Hj3TcA6BxyZKi9Q1Q0VS2qZ5Oa7srd55asdP2tax17lubwHKVQKD1UsHjcuPIzTPA6vfepm+BW5Mfe9XuSkuqFIYqfZGs5+8om0O5lnfmh906gM89ia34kW2UyusS3Ur5oWyDv5e9YcPGy1rybuWd+WExfw4CUxa4HkNmX4FcfYIzjX3oQdonzGPP3DXs/PyT7Jm7hvYJ8zybTw9bH9yObdv4oGU+R26ewQct87P2ZFbRUbbZPjmLm5UoJ2UJ/JR35sfM++DUPnj7Wa5O/xh47zm4fq7jmkDJxdTknHrbpR5WbjkEONtwBfDR2M9ybPowBgbi+yOu1P0Bx6b/GRPGfhrr3mTueF2iuxBh2iymwqVs5/zzlkhHdFLzJgiOyxKE0Y9usUydpHESPPR+1i9Npu2e7TrLYH8TV84vJNZ569Drbvod25UrqGyoYsU/3+noe5QKv0ppqHR+lOLwopheJOf885KRjjhUrOzg5qBHNsRRWYKwstv8lWNTWGraLgIVNZeoG7+FqhEHhs5x0+/YbuNXrKvf9RRS2IVps1i5suvBXMj0WjG6iWnwT+VzOqIXSnohO89FX6u0Xanop3bM9qHP3Sym2i1Od4pxXLKhVPi9uK38KcXhtlxJPjT4p8rzzrSYSnoh22rR125TWAq7pxqpjqeIul1Mnbf0JvozkjH7Meyui7l6gigFYdssVo78eLoqRjG9aAX/g5vj886tTfH/Z07nhCgd0Y6TJuWFOL6/nY2r9vDUip1sXLXH26bVKZumQOiuH0+r+WsmPzc8a9aO3VON6W9iQlO960bxU+eM483RQocMYjB0yCD/Vd/P0dqBtCeIILKqvM7M0c1i/vPj6aoYxfSis+DrpHtVHh2uykkxOxhlZu1A/A7eKpBnZjhB4Z2zcv18P35mLnadwzRYh5sf/25e/S3qgi84m8/PuDPNWq6gDBVjnjHJqly0XZlkP552rEpXpL7xBFEeJExlnJVzfjxduSlXkq+yzfO/htP5/Jn3RSbYZypm0w67uXW741/61Jc8v+O+59YJttNFQWRVaWZO6WpcssTzp7Opc8b5WkAvOnf+JTCfH7RiNu0IewmEILKqNDNHFVN0gn+emSZRUsymHWErgZApiKwqzcxRxVRQ8BeRtSJyVEQOishLItKU8tpKETkhIsdEZGHK8UWJYydE5LFCfr4rEZ/Pd6IY84xJuebcg+Z3VpUVzcxRxVRQto+ILAB2GmNiIvJPAMaYH4rIDOBnwOeAZuB1YGriy44DdwOngbeAbxhjstbRLWp5hwKldnAKsqZLqPhcMuPqNvheuus62TvxZS7feKaotZz82N6vVKGyZfsUtOBrjEktJrMPuDfx8VLgeWPMFeC3InKC+BsBwAljzMnEwJ5PnFt4EfUQ8KLoWNnJTJ9NlswAT94A0lPihGG9jXz+5DL+h+dp7W0F/C94p8XTVCnycs7/fuC1xMcTgNQKXqcTx+yOX0NE/kpE3haRt8+fP+/hMP3jJn0xMnwumWGVnlo9WMOcU4uL1rlNUzRVKcp55y8irwNWk76rjTEvJ85ZDcSATV4NzBizHlgP8Wkfr76vn9ymL0aCzyUz7NJQG/pGAsUpeKcpmqoU5Qz+xpi7sr0uIt8CFgPzzdUFhDZgUsppExPHyHK85DU31dNmEejDkr4YiMaJNmWcvUmxbRhVa/kG0FXzCVCcgndV48dbl03WFE0VYoVm+ywCHgW+bIzpTnnp58AyEakVkcnAFOBN4gu8U0RksojUAMsS55aFsKcvBsLnFFur9NT+ij72X/9K0QreaYqmKkWF7vB9EqgFdogIwD5jzApjzGER2Ux8ITcGPGCMGQAQke8C24FK4FljzOECxxAaYergFBrJRV2fsn3SO4ulZ/u0fsbf1Myk5KKuZvuoUhKdwm5KKRUxWthNKaVUGg3+SikVQRr8lVIqgjT4K6VUBGnwV0qpCIpMM5dXT77KunfW0X65nXHDxxW16Fep2Xqgjc0vHuOWC4OMMBVUNVTR8rWp/jWWsCj81vG7ek2dVMpHkQj+mf1Yz14+S+veVsD/ol+lZuuBNp597jAtv6+kOvFgONAV4/WfHgHw/g3AovBbx7qHOfvWSExfP6CF0pTyQySmfYLox1qq1m4/xtyuCqqRtOMmZnzp5WtV+O3cgbqhwD/087VQmlKeikTwD6Ifa6k6c6mHEUYsX/Ojl69VgbdYd6XFiVooTSkvRSL4B9GPtVQ1N9XTKda7vv3o5WtV4K1q2IDFiVooTSkvRSL4B9GPtVQ9snAa+xoG6Sf9DUCqxJdevlaF38be2ovUVKf/fC2UppSnIrHgm1zU1Wyf3JJF6IqW7WNR+K3xq4+DZvso5Sst7KaUUmVKC7sppZRKo8FfKaUiKBJz/p6y2I1aSGOSrQfatPlLADJ3fH+77gf07r2OrotXaBhVy7ylN/m3ozkPHdu26RqI8pQGfzcsdqOy7fvxj/N4A9h6oI2VWw7R0x9PbWy71MPKLYcA9A3AR5k7vod/2Ez7SagajO9j6Lp4hV2bjgI+7GjOQ8e2bZz9u8cxvfHx6o5n5QWd9nHDYjcq/T3x43lYu/3YUOBP6ukfYO32Y/mOUDmQueN7zqnFVA3WpJ0T6xv0Z0dzHs796MdDgT9JdzyrQmnwd8NiN2rW4zmcudTj6rjyRubO7oa+kZbn+bKjOQ92O5t1x7MqhAZ/Nyx2o2Y9nkNzU72r48obmTu7u2o+sTzPlx3NebDb2aw7nlUhNPi7YbEbler6+PE8PLJwGvXV6XVs6qsreWThtHxHqBzI3PG9//pXiFX0pZ1TVVPhz47mPIx96EGkLn2Huu54VoXSBV83LHajFpLtk1zU1Wyf4src8X35xjOMmw69e2tDme2TXNTVbB/lJd3hq5RSZUp3+CqllEqjwV8ppSJIg79SSkWQBn+llIogDf5KKRVBJZHtIyLngd8FPY4cRgMfBz2IIojKdUJ0rlWvs7ykXucNxpgxVieVRPAvBSLytl1KVTmJynVCdK5Vr7O8OL1OnfZRSqkI0uCvlFIRpMHfO+uDHkCRROU6ITrXqtdZXhxdp875K6VUBOmdv1JKRZAGf6WUiiAN/h4SkbUiclREDorISyLSFPSY/CAiXxORwyIyKCJllzonIotE5JiInBCRx4Iej19E5FkROSci7wc9Fj+JyCQR2SUi/5v4vf2boMfkBxGpE5E3ReSPdpK3AAACJ0lEQVS9xHX+fbbzNfh7awdwizFmJnAcWBnwePzyPvBVYHfQA/GaiFQCTwFfAGYA3xCRGcGOyjf/DiwKehBFEAMeNsbMAOYCD5Tpv+kVoMUY88fALGCRiMy1O1mDv4eMMf9tjIklPt0H5NffMeSMMUeMMeXaZf5zwAljzEljTB/wPLA04DH5whizG7gY9Dj8Zow5a4x5J/Hx74EjQNl1TDJxXYlPqxP/2Wb0aPD3z/3Aa0EPQrk2Afi/lM9PU4aBIqpE5EbgVmB/sCPxh4hUisi7wDlghzHG9jq1jaNLIvI6YNXfb7Ux5uXEOauJP2puKubYvOTkOpUqJSLSALwIPGiM6Qx6PH4wxgwAsxLrjS+JyC3GGMs1HQ3+Lhlj7sr2uoh8C1gMzDclvIki13WWsTZgUsrnExPHVAkTkWrigX+TMWZL0OPxmzHmkojsIr6mYxn8ddrHQyKyCHgU+LIxpjvo8ai8vAVMEZHJIlIDLAN+HvCYVAFERIANwBFjzL8EPR6/iMiYZIahiNQDdwNH7c7X4O+tJ4HrgB0i8q6IPB30gPwgIl8RkdPAPOBVEdke9Ji8kliw/y6wnfjC4GZjzOFgR+UPEfkZ8GtgmoicFpFvBz0mn9wOfBNoSfxdvisiXwx6UD4YD+wSkYPEb2J2GGNesTtZyzsopVQE6Z2/UkpFkAZ/pZSKIA3+SikVQRr8lVIqgjT4K6VUBGnwV0qpCNLgr5RSEfT/fRtQM8ym0ccAAAAASUVORK5CYII=\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000,w=np.full(X.shape[1],0),b=0):\n", - " self.learning_rate=learning_rate\n", - " self.n_iters=n_iters\n", - " self.w=w\n", - " self.b=b\n", - "\n", - " #pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " entries = X.shape[0]\n", - " feature_count = X.shape[1]\n", - "\n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " return np.matmul(X,self.w)+self.b\n", - "\n", - " #pass # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 6, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "\n", - "regressor.fit(X_train,y_train)\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 8, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " return np.sum(np.dot(y_true-y_pred,y_true-y_pred))/y_true.shape[0]\n", - " #pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " sum_square_regression = np.sum(np.dot(y_true-y_pred,y_true-y_pred))\n", - " total_sum_squares = np.sum(np.dot(y_true-np.mean(y_true),y_true-np.mean(y_true)))\n", - " return 1 - sum_square_regression/total_sum_squares\n", - " #pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "1d4d35bd-46bb-446c-c113-9fdc5debaec1" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 12000.32949394661\n", - "Accuracy: -0.13449666470562582\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_200487.ipynb b/Assignment 1/A1_200487.ipynb deleted file mode 100644 index b0b1683..0000000 --- a/Assignment 1/A1_200487.ipynb +++ /dev/null @@ -1,622 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 25, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "print(X_train)" - ], - "metadata": { - "id": "T3VYDAcPyzb4", - "outputId": "01f3c633-cfaa-40f7-a250-56a08515d81a", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 26, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[[-1.50226745e+00 1.10246309e+00 -3.32110906e-01 -3.37095149e-01\n", - " -2.35725003e-01]\n", - " [ 2.47658416e+00 -7.32264700e-01 6.74710006e-02 3.52343397e-01\n", - " 2.97141210e-01]\n", - " [-1.68727904e+00 9.65275392e-04 6.13470314e-01 -9.00395653e-01\n", - " -9.00780945e-01]\n", - " [ 1.74642478e+00 -2.19065706e-02 -3.79835571e-01 -8.51660724e-01\n", - " -9.40738666e-02]\n", - " [-1.92979534e+00 -7.44229701e-01 -3.00465307e-01 2.33873591e-01\n", - " -3.41255995e-01]\n", - " [-2.07181677e-01 8.12637710e-02 -3.36179840e-01 3.00670817e-02\n", - " -2.40524177e-01]\n", - " [ 6.52125575e-01 3.92560611e-01 8.12218089e-01 1.68852820e-01\n", - " 1.43843167e-01]\n", - " [ 7.73999259e-01 7.13086800e-01 -1.13745080e-01 -7.51870758e-01\n", - " 5.23706023e-02]\n", - " [-3.84786639e-01 -1.19506206e+00 1.19236503e+00 7.52134361e-01\n", - " -4.55023515e-01]\n", - " [ 8.51927626e-01 1.49455700e+00 -1.24621209e+00 -1.03335017e+00\n", - " -7.78421820e-01]\n", - " [ 1.01355006e+00 7.97023134e-01 -1.85293455e+00 4.59581779e-01\n", - " -9.17741045e-01]\n", - " [ 2.26957200e+00 -8.32723441e-01 1.47428533e+00 -6.22060928e-02\n", - " 2.94198012e-01]\n", - " [-6.51225833e-01 -2.35807363e+00 4.80062472e-02 5.42451308e-01\n", - 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" 1.19336851e+00]\n", - " [-1.09712188e+00 -6.07683691e-01 -2.37977527e+00 -5.28196069e-01\n", - " -1.07529009e+00]\n", - " [ 1.80833313e-01 -6.76900945e-01 8.50386871e-01 3.02902035e-01\n", - " -1.12511459e+00]\n", - " [ 1.04090637e+00 -1.16829028e+00 -1.20740046e+00 -4.08650312e-01\n", - " 1.12837333e+00]\n", - " [ 3.50997153e-01 7.23341609e-01 1.54697933e+00 -6.06887283e-01\n", - " 4.61355672e-02]\n", - " [-4.22517422e-01 6.50348936e-02 -1.08262618e+00 9.93683781e-01\n", - " 5.90163171e-01]\n", - " [ 4.86030067e-02 -3.74444917e-01 2.09313488e-01 1.88646203e-01\n", - " 9.54698597e-01]\n", - " [ 2.02240507e+00 8.70841779e-01 -1.54292905e+00 -5.64875297e-01\n", - " -1.75210527e-01]\n", - " [ 1.58928579e+00 -2.43864781e-01 -9.53657453e-01 -6.10570973e-01\n", - " 1.59709397e+00]\n", - " [ 7.82975562e-01 -7.80654326e-01 1.54768490e+00 6.93483618e-01\n", - " -1.20372540e-01]\n", - " [ 2.22251747e-01 -3.70602190e-01 -6.33858144e-01 1.05360040e+00\n", - " -4.63544971e-01]\n", - " [-1.90001834e-01 1.67290643e+00 1.96871939e+00 1.74544451e+00\n", - 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" 1.27148698e-01]\n", - " [-1.11011050e+00 1.03950386e+00 1.51538673e+00 -1.03381482e+00\n", - " -8.55929482e-01]\n", - " [-2.56537881e-01 -4.39453344e-02 -8.46808631e-01 1.65360451e-01\n", - " 5.86832596e-01]\n", - " [ 1.14922180e-01 1.00598199e+00 -5.08380228e-01 2.12370287e-01\n", - " 1.53179086e+00]\n", - " [ 9.75389955e-02 1.28997872e+00 1.40016080e+00 1.34742912e+00\n", - " -5.46184988e-01]\n", - " [ 1.24599780e-02 8.84387817e-01 6.32514463e-01 -2.75644617e-01\n", - " 1.28236737e+00]\n", - " [-6.51840227e-01 6.22221839e-01 1.00798864e+00 5.33652814e-01\n", - " -3.39429436e-01]\n", - " [ 8.02086614e-01 -1.96745278e-01 1.20200259e+00 -3.02963967e-01\n", - " 8.36528702e-01]\n", - " [-9.27082195e-01 -2.08600814e-01 1.01156174e+00 3.43741450e-01\n", - " -2.83246291e-01]\n", - " [ 1.10938120e+00 -1.60451349e+00 -6.18985582e-01 1.38516211e-01\n", - " 7.13975172e-01]\n", - " [ 8.37836354e-01 -2.76203354e-01 9.14840958e-01 2.08787087e+00\n", - " 7.96511899e-01]\n", - " [-1.09933237e-01 -1.40528445e+00 1.07062632e+00 9.61853329e-01\n", - " -5.09556180e-01]\n", - " [ 1.79410714e-01 5.09778855e-01 5.56185223e-01 -1.45553433e+00\n", - " 3.00445543e-01]]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.plot(X_train, y_train)\n", - "plt.show()\n", - "# Your code here" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "outputId": "a5fd4b9f-8f15-4752-c683-efbf8a026ced", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - } - }, - "execution_count": 27, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(X_train)\n", - "plt.show()" - ], - "metadata": { - "id": "vqIVZkf3zMCU", - "outputId": "6f69dadd-f8ac-49d1-a6c8-3b4925097ed3", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 268 - } - }, - "execution_count": 28, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(y_train)\n", - "plt.show()" - ], - "metadata": { - "id": "s9UJmJBAzTWP", - "outputId": "1b807bb8-9942-4b76-8edb-f0d73ff298c5", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - } - }, - "execution_count": 29, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(X_test)\n", - "plt.show()" - ], - "metadata": { - "id": "fB3pH0_jzZte", - "outputId": "224d1689-fd66-4848-8e56-bcc5ab5c71f6", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - } - }, - "execution_count": 30, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(y_train)\n", - "plt.show()\n" - ], - "metadata": { - "id": "7EaDyAENzhdI", - "outputId": "704ef158-2d56-4c54-811c-5ed75300c56e", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - } - }, - "execution_count": 31, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(y_test)\n", - "plt.show()" - ], - "metadata": { - "id": "0yl-iU6gzsZd", - "outputId": "6d528257-8b70-4c67-d1f6-593562d16e06", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 269 - } - }, - "execution_count": 32, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000, b=0, w=np.full(X.shape[1],0)):\n", - "\n", - " self.learning_rate=learning_rate\n", - " self.n_iters=n_iters\n", - " self.b=b\n", - " self.w=w\n", - "\n", - " \n", - "\n", - " # Your code here\n", - "\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " no_=X.shape[0]\n", - " count_=X.shape[1]\n", - "\n", - " for i in range (self.n_iters):\n", - " predict=np.matmul(X,self.w)+self.b\n", - " derivative_= np.full(count_,0)\n", - "\n", - " for k in range (count_):\n", - " derivative_[k]=np.sum(np.dot(X[:,k],y-predict)) * -2 / no_\n", - " derivative_b = np.sum(y-predict) * -2 / no_\n", - " self.b = self.b - self.learning_rate *derivative_b\n", - " self.w = self.w - self.learning_rate * derivative_\n", - " \n", - "\n", - " # Gradient Descent code goes here\n", - "\n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " return np.matmul(X,self.w)+self.b\n", - "\n", - " # Code goes here\n", - "\n", - " # pass # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 33, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "\n", - "\n", - "# Now, let's see our what our model predicts\n", - "regressor.fit(X_train,y_train)\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 34, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " return np.sum(np.dot(y_true-y_pred,y_true-y_pred))/y_true.shape\n", - " # return the mean squared error\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " ssreg=np.sum(np.dot(y_true-y_pred,y_true-y_pred))\n", - " sstot=np.sum(np.dot( y_true-np.mean(y_true),y_true-np.mean(y_true)))\n", - " r2_score=1-ssreg/sstot\n", - " return r2_score\n", - " # return the r2 score\n", - " #pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(predictions,y_test) # Pass appropriate parts of dataset\n", - "\n", - "\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(predictions, y_test) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "outputId": "7944c63f-2002-499b-f6b0-f795b707b294", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 35, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: [398.62133504]\n", - "Accuracy: 0.95909551005883\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_200526.ipynb b/Assignment 1/A1_200526.ipynb deleted file mode 100644 index 76f165a..0000000 --- a/Assignment 1/A1_200526.ipynb +++ /dev/null @@ -1,322 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generating the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Splitting the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 67, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "#Plotting X against y\n", - "plt.plot(X,y)\n", - "plt.show()\n" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "27c0e1d1-bf57-45f6-c749-c83fa2290e90" - }, - "execution_count": 68, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, we specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " \n", - " self.learning_rate=learning_rate\n", - " self.n_iters=n_iters\n", - " self.weights=None\n", - " self.bias=None\n", - "\n", - "\n", - " # Optimization technique using the gradient descent model \n", - " def fit(self, X, y):\n", - " \n", - " # Assigning the values for the number of samples and number of features\n", - " n_samples,n_features=X.shape\n", - "\n", - " self.weights=np.zeros(n_features)\n", - " self.bias=0\n", - " \n", - " for i in range(self.n_iters):\n", - " y_predict=self.predict(X) #the predicted value for y\n", - " dw=-(2/n_samples)*np.dot((X.T),(y-y_predict)) # Derivative of weights\n", - " db=-(2/n_samples)*np.sum(y-y_predict) # Derivative of bias\n", - " self.weights = self.weights-self.learning_rate*dw #Updating weights\n", - " self.bias = self.bias - self.learning_rate*db #Updating bias\n", - " \n", - " \n", - " # Prediction on unseen data\n", - " def predict(self, X):\n", - " return np.dot(X,self.weights)+self.bias\n", - "\n", - " " - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 69, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() \n", - "regressor.fit(X_train,y_train) # Now we fit the model\n", - "\n", - "# Now, we se what our model predicts\n", - "predictions = regressor.predict(X_test)" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 70, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " return np.mean((np.square(y_true-y_pred)))\n", - " \n", - "\n", - "def r2_score(y_true, y_pred):\n", - " corr_matrix = np.corrcoef(y_true, y_pred)\n", - " corr = corr_matrix[0,1]\n", - " R_sq = corr**2\n", - " return R_sq \n", - "\n", - "mse = mean_squared_error(y_test,predictions) \n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) \n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "37f46253-0232-45e3-e1d1-a121eec61bd8" - }, - "execution_count": 71, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 659.4416574156697\n", - "Accuracy: 0.9695609670736952\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Printing MSE and R2_score from sklearn library\n", - "from sklearn.metrics import r2_score\n", - "from sklearn.metrics import mean_squared_error\n", - "r2 = r2_score(y_test, predictions)\n", - "mse=mean_squared_error(y_test,predictions)\n", - "print(mse)\n", - "print(r2)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "MdhZlpq7Fznw", - "outputId": "bfda47f0-9435-4456-9599-fdac41ce41ca" - }, - "execution_count": 72, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "659.4416574156697\n", - "0.9376571817229341\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "#Predicted values vs Real values\n", - "print( \"Predicted values \", np.round( predictions[:3], 2 ) ) \n", - "print( \"Real values \", y_test[:3] )" - ], - "metadata": { - "id": "8W3e9O51Hnzo", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "e24f62ee-1f7b-4444-ff6a-663d6d225974" - }, - "execution_count": 73, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Predicted values [177.66 -90.77 72.49]\n", - "Real values [ 231.52987097 -127.73130463 82.03512178]\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_200532.ipynb b/Assignment 1/A1_200532.ipynb deleted file mode 100644 index b8f1196..0000000 --- a/Assignment 1/A1_200532.ipynb +++ /dev/null @@ -1,289 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 85, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "for i in range(0,len(X[0])):\n", - " plt.scatter([t[i] for t in X],y)\n", - " # plt.show() #Uncomment and comment next one to plot in seperate plots\n", - "plt.show()\n", - "# Your code here" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "b2d59372-3d3f-4457-c1a7-fc8259aafafb" - }, - "execution_count": 86, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " # Your code here\n", - " self.learning_rate=learning_rate\n", - " self.n_iters=n_iters\n", - " self.weights=0\n", - " self.bias=0\n", - "\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " n_samples,n_features=len(X),len(X[0])\n", - " self.weights=np.zeros(n_features)\n", - " for i in range(self.n_iters):\n", - " y_bar=np.matmul(X,self.weights)+self.bias\n", - " # e=np.sum((y_bar-y)**2)/n_samples\n", - " de_dw=-2*np.dot(X.T,y-y_bar)/n_samples\n", - " de_db=-2*np.sum(y-y_bar)/n_samples\n", - " self.weights=self.weights-self.learning_rate*de_dw\n", - " self.bias=self.bias-self.learning_rate*de_db\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " # Code goes here\n", - " return np.dot(X,self.weights)+self.bias" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 87, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train,y_train)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset\n", - "plt.plot(predictions/y_test)\n", - "plt.show()" - ], - "metadata": { - "id": "nvItUpAkHTiv", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "c856aec0-e35e-4a5c-8583-427ac0f006cd" - }, - "execution_count": 88, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " return np.sum(np.dot(y_true-y_pred,y_true-y_pred))/len(y_true)\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " return 1-np.sum(np.dot(y_true-y_pred,y_true-y_pred))/np.sum(np.dot(y_true-np.mean(y_true),y_true-np.mean(y_true)))\n", - " pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "6ca1bf5f-4d23-4bf4-ed3c-1daf01f5faf1" - }, - "execution_count": 89, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 659.4416574156697\n", - "Accuracy: 0.9376571817229341\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_200537.ipynb b/Assignment 1/A1_200537.ipynb deleted file mode 100644 index e7fa21f..0000000 --- a/Assignment 1/A1_200537.ipynb +++ /dev/null @@ -1,340 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A1_200537.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 20, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "X_train.shape" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "9PWYjJtZsDrs", - "outputId": "e75f9008-45eb-4209-dc15-87c4cbc15896" - }, - "execution_count": 21, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(80, 5)" - ] - }, - "metadata": {}, - "execution_count": 21 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "# roughwork\n", - "\n", - "\n" - ], - "metadata": { - "id": "IHb85QKar5vs" - }, - "execution_count": 31, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "# Your code here\n", - "for i in range(1,5):\n", - " plt.scatter(X_train[:,i-1:i],y_train)\n", - "weight=np.random.rand(X_train.shape[1],1);\n", - "bias=np.random.rand(X_train.shape[0],1);\n", - "bias.shape" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "d5981a10-a650-408c-dd24-0e9fc86f21fa" - }, - "execution_count": 22, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(80, 1)" - ] - }, - "metadata": {}, - "execution_count": 22 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " # Your code here\n", - "\n", - " self.weight=np.random.rand(X_train.shape[1],1);\n", - " self.bias=np.random.rand(X_train.shape[0],1);\n", - "\n", - " pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " # Gradient Descent code goes here\n", - " w=self.weight;\n", - " b=self.bias\n", - " def CostFunction(x,y,w,b):\n", - " cost = np.sum((((x.dot(weight) + bias) - y) ** 2) / (2*len(y)))\n", - " return cost\n", - " \n", - " def GradientDescent(x, y, w, b, learning_rate, n_iters):\n", - " cost_list = [0] * n_iters\n", - " for epoch in range(n_iters):\n", - " z = x.dot(w) + b\n", - " loss = z - y\n", - " weight_gradient = x.T.dot(loss) / len(y)\n", - " bias_gradient = np.sum(loss) / len(y)\n", - " w = (w - (weight_gradient*learning_rate))\n", - " b = (b - (bias_gradient*learning_rate))\n", - " cost = CostFunction(x, y, w, b)\n", - " cost_list[epoch] = cost\n", - " \n", - " return w, b, cost_list\n", - "\n", - " # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " # Code goes here\n", - " return np.dot(X_train,self.weight)+ self.bias\n", - "\n", - " # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 34, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train,y_train)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_train) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 35, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " from sklearn.metrics import mean_squared_error\n", - " return mean_squared_error(y_true, y_pred)\n", - " # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " from sklearn.metrics import r2_score\n", - " return r2_score(y_true, y_pred)\n", - " return\n", - " # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_train,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_train,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "199303d5-675f-475f-a446-d6db45b3cab0" - }, - "execution_count": 36, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 11566.599682942204\n", - "Accuracy: 0.001663731221014375\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_200551.ipynb b/Assignment 1/A1_200551.ipynb deleted file mode 100644 index 56614e4..0000000 --- a/Assignment 1/A1_200551.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Copy of CV with TF: Assignment 1.ipynb","provenance":[{"file_id":"1lHTeY0ieI9TWcR88yhQV1EwsX7n5PSJq","timestamp":1654439374439},{"file_id":"1DG_xMAsAlibZtSw7T_p6dzV8CRejNM9o","timestamp":1653919622477}],"collapsed_sections":[]},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["### **Aim** \n","The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch."],"metadata":{"id":"RB2d1J1f1CF7"}},{"cell_type":"markdown","source":["### Generating the dataset \n","Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n"],"metadata":{"id":"a_S80lf6H4Xv"}},{"cell_type":"code","source":["from sklearn import datasets\n","from sklearn.model_selection import train_test_split\n","\n","# Generate the data\n","X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n","\n","# Split the data\n","X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)"],"metadata":{"id":"yX0zqXcHIQHP","executionInfo":{"status":"ok","timestamp":1654437224401,"user_tz":-330,"elapsed":1144,"user":{"displayName":"Mahavir Agarwal","userId":"04860121164578230465"}}},"execution_count":2,"outputs":[]},{"cell_type":"markdown","source":["### Visualizing the data \n","Use `matplotlib` to visualize the given data."],"metadata":{"id":"Zj4rrRXGJBXy"}},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","\n","# Your code here\n","plt.scatter(X[:,0],y)\n","plt.scatter(X[:,1],y)\n","plt.scatter(X[:,2],y)\n","plt.scatter(X[:,3],y)\n","plt.scatter(X[:,4],y)"],"metadata":{"id":"zxfi8dkBJOUi","executionInfo":{"status":"ok","timestamp":1654437228521,"user_tz":-330,"elapsed":662,"user":{"displayName":"Mahavir Agarwal","userId":"04860121164578230465"}},"colab":{"base_uri":"https://localhost:8080/","height":282},"outputId":"f70919f7-691d-4c12-d741-2692700e4de5"},"execution_count":3,"outputs":[{"output_type":"execute_result","data":{"text/plain":[""]},"metadata":{},"execution_count":3},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["You should be able to see the linear relations between `y` and the features in vector `X`."],"metadata":{"id":"r7vndSBAJceF"}},{"cell_type":"markdown","source":["### Gradient Descent Review \n","1. #### Cost function\n","Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n","\n","$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n","\n"," where `N` is the number of samples \n"," \n","\n","\n","2. #### Compute the derivative\n","$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n","$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n","3.

Update current parameters

\n","$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n","$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n","4.

Repeat until it fits good enough

\n"],"metadata":{"id":"b4I9Z3epNvBM"}},{"cell_type":"markdown","source":["### Model definition\n","\n","Complete the functions in the class below. Hints provided at appropriate places."],"metadata":{"id":"kBtUcOVnJu-I"}},{"cell_type":"code","source":["import numpy as np\n","\n","class LinearRegression:\n","\n"," # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n"," # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n"," # Hint: Google what a `self pointer` is and figure out how it can be used here.\n"," def __init__(self, learning_rate=0.001, n_iters=1000, w=np.full(X.shape[1],0) , b=0 ):\n"," # Your code here\n"," self.learning_rate = learning_rate\n"," self.n_iters = n_iters\n"," self.w = w\n"," self.b = b\n"," #pass # Uncomment this when you're done with this function\n","\n","\n"," # The following function would be the heart of the model. This is where the training would happen. \n"," # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n"," def fit(self, X, y):\n"," # Gradient Descent code goes here\n"," entries = X.shape[0]\n"," feature_count = X.shape[1]\n","\n"," for iteration in range(self.n_iters) :\n"," prediction = np.matmul(X,self.w)+self.b\n"," w_derivative = np.full(feature_count,0)\n"," for feature in range(feature_count) :\n"," w_derivative[feature] = np.sum(np.dot(X[:,feature],y-prediction)) * -2 / entries\n"," b_derivative = np.sum(y-prediction) * -2 / entries\n"," self.w = self.w - self.learning_rate * w_derivative\n"," self.b = self.b - self.learning_rate * b_derivative\n"," #pass # Uncomment this when you're done with this function\n"," \n"," \n"," # This function will be called after our model has been trained and we are predicting on unseen data\n"," # What is our prediction? Just return that\n"," def predict(self, X):\n"," # Code goes here\n"," return np.matmul(X,self.w)+self.b\n"," #pass # Uncomment this when you're done with this function"],"metadata":{"id":"dGnFNPJx3I28","executionInfo":{"status":"ok","timestamp":1654437996900,"user_tz":-330,"elapsed":419,"user":{"displayName":"Mahavir Agarwal","userId":"04860121164578230465"}}},"execution_count":12,"outputs":[]},{"cell_type":"markdown","source":["### Initializing, Training & Predictions"],"metadata":{"id":"EvyInkTKPn7W"}},{"cell_type":"code","source":["# Now, we make an object of our custom class.\n","regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n","\n","# Call the fit method on the object to train (pass appropriate part of dataset)\n","regressor.fit(X_train,y_train)\n","\n","\n","# Now, let's see our what our model predicts\n","predictions = regressor.predict(X_test) # pass appropriate part of dataset"],"metadata":{"id":"nvItUpAkHTiv","executionInfo":{"status":"ok","timestamp":1654438000671,"user_tz":-330,"elapsed":398,"user":{"displayName":"Mahavir Agarwal","userId":"04860121164578230465"}}},"execution_count":13,"outputs":[]},{"cell_type":"markdown","source":["### Evaluate the model \n","\n","Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below."],"metadata":{"id":"tzK6cq8eRD4Q"}},{"cell_type":"code","source":["def mean_squared_error(y_true, y_pred):\n"," # return the mean squared error\n"," #pass # Uncomment this when you're done with this function\n"," return np.sum(np.dot(y_true-y_pred,y_true-y_pred))/y_true.shape[0]\n","\n","def r2_score(y_true, y_pred):\n"," # return the r2 score\n"," #pass # Uncomment this when you're done with this function\n"," sum_square_regression = np.sum(np.dot(y_true-y_pred,y_true-y_pred))\n"," total_sum_squares = np.sum(np.dot(y_true-np.mean(y_true),y_true-np.mean(y_true)))\n"," return 1 - sum_square_regression/total_sum_squares \n","\n","mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n","print(\"MSE:\", mse)\n","\n","accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n","print(\"Accuracy:\", accu)"],"metadata":{"id":"WqkrvDzcRF5m","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1654438093563,"user_tz":-330,"elapsed":430,"user":{"displayName":"Mahavir Agarwal","userId":"04860121164578230465"}},"outputId":"621f33db-7490-4524-c766-24099aa6e211"},"execution_count":15,"outputs":[{"output_type":"stream","name":"stdout","text":["MSE: 673.3063809304753\n","Accuracy: 0.936346427498015\n"]}]}]} \ No newline at end of file diff --git a/Assignment 1/A1_200665_Paramveer.ipynb b/Assignment 1/A1_200665_Paramveer.ipynb deleted file mode 100644 index b2f49fe..0000000 --- a/Assignment 1/A1_200665_Paramveer.ipynb +++ /dev/null @@ -1,427 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "RB2d1J1f1CF7" - }, - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "a_S80lf6H4Xv" - }, - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(80, 5)\n", - "(80,)\n" - ] - } - ], - "source": [ - "print(X_train.shape)\n", - "print(y_train.shape)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Zj4rrRXGJBXy" - }, - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 301 - }, - "id": "zxfi8dkBJOUi", - "outputId": "5749825f-ff57-4aa1-8ea7-2e02e6e55a79" - }, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "%matplotlib inline\n", - "font = {'family' : 'DejaVu Sans',\n", - " 'weight' : 'bold',\n", - " 'size' : 90}\n", - "\n", - "plt.rc('font', **font)\n", - "import seaborn as sns\n", - "# fig = plt.figure()\n", - "fig, axes = plt.subplots(nrows=1, ncols=5, figsize = (300,50))\n", - "plt.tight_layout()\n", - "i =0;\n", - "for ax in axes:\n", - " ax.plot(X_train[:,i],y_train,'g',lw=10)\n", - " ax.set_xlabel('X')\n", - " ax.set_ylabel('y')\n", - " ax.set_title('feature-'+ str(i))\n", - " i=i+1\n", - "\n", - "# X_train\n", - "# y_train\n", - "# sns.pairplot(x= X_train, y = y_train)\n", - "# Your code here" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "font = {'family' : 'DejaVu Sans',\n", - " 'weight' : 'bold',\n", - " 'size' : 10}\n", - "\n", - "plt.rc('font', **font)\n", - "plt.scatter(X_train[:,0],y_train, label = 'feature-1')\n", - "plt.legend(loc='best')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.scatter(X_train[:,1],y_train, label = \"feature-2\")\n", - "plt.scatter(X_train[:,2],y_train, label = \"feature-3\")\n", - "plt.scatter(X_train[:,3],y_train, label = \"feature-4\")\n", - "plt.scatter(X_train[:,4],y_train, label = \"feature-5\")\n", - "plt.legend(loc='best')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r7vndSBAJceF" - }, - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "b4I9Z3epNvBM" - }, - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "kBtUcOVnJu-I" - }, - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "id": "dGnFNPJx3I28" - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " self.learning_rate = learning_rate\n", - " self.n_iters = n_iters\n", - " self.weights = None\n", - " self.bias = None\n", - " # Your code here\n", - "\n", - " pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " n_records, n_features = X.shape\n", - " self.weights = np.zeros(n_features)\n", - " self.bias = 0\n", - " for _ in range(self.n_iters):\n", - " cost = 1/n_records * np.square(y - (np.dot(X,self.weights) + self.bias))\n", - " der_w = -2/n_records *(np.dot(X.T, (y - np.matmul(X,self.weights ) - self.bias)))\n", - " der_b = -2/n_records *np.sum((y - np.matmul(X, self.weights ) - self.bias))\n", - " self.weights = self.weights - self.learning_rate * der_w\n", - " self.bias = self.bias - self.learning_rate *der_b\n", - " \n", - " \n", - " # Gradient Descent code goes here\n", - "\n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - "# print(self.weights.shape)\n", - "# print(self.bias.shape)\n", - "# print(X.shape)\n", - " return np.dot(X,self.weights)+ self.bias\n", - " # Code goes here\n", - "\n", - "# pass # Uncomment this when you're done with this function" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "EvyInkTKPn7W" - }, - "source": [ - "### Initializing, Training & Predictions" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "id": "nvItUpAkHTiv" - }, - "outputs": [], - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train,y_train)\n", - "# print(X_test.shape)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(20,)" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "predictions.shape" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "tzK6cq8eRD4Q" - }, - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "id": "WqkrvDzcRF5m" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MSE: 25.67959613030683\n", - "Accuracy: 0.9376571817229341\n" - ] - } - ], - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " N = y_true.shape\n", - " return np.sqrt(1/N[0] * np.sum(np.square(y_true-y_pred)))\n", - " # return the mean squared error\n", - "# pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " N = np.sum(np.square(y_true-y_pred))/np.sum(np.square(y_true - np.mean(y_true)))\n", - " return 1-N\n", - " # return the r2 score\n", - "# pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "CV with TF: Assignment 1.ipynb", - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/Assignment 1/A1_200674.ipynb b/Assignment 1/A1_200674.ipynb deleted file mode 100644 index b10b4f5..0000000 --- a/Assignment 1/A1_200674.ipynb +++ /dev/null @@ -1,624 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Parul_CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "X_train.shape" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "yDyR3HlQ4gJo", - "outputId": "6875932f-5624-4519-bb4e-f734c8d657f9" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(80, 5)" - ] - }, - "metadata": {}, - "execution_count": 2 - } - ] - }, - { - "cell_type": "code", - "source": [ - "y_train.shape" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "3NxeKYh24kno", - "outputId": "78e572b2-62f1-4e85-cf86-e32d2fbbac2c" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(80,)" - ] - }, - "metadata": {}, - "execution_count": 3 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.scatter(X[:,0],y)\n", - "\n" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "0a304a51-9f60-457b-a7e5-94b488b61728" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 4 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " \n", - " # Your code here\n", - " self.n_iters=n_iters\n", - " self.learning_rate=learning_rate\n", - " self.w=np.zeros(5)\n", - " self.b=0 # Uncomment this when you're done with this function\n", - " return\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " w=self.w\n", - " b=self.b\n", - " j=0\n", - " n_iters=self.n_iters\n", - " while(j"]},"metadata":{},"execution_count":29},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["You should be able to see the linear relations between `y` and the features in vector `X`."],"metadata":{"id":"r7vndSBAJceF"}},{"cell_type":"markdown","source":["### Gradient Descent Review \n","1. #### Cost function\n","Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n","\n","$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n","\n"," where `N` is the number of samples \n"," \n","\n","\n","2. #### Compute the derivative\n","$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n","$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n","3.

Update current parameters

\n","$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n","$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n","4.

Repeat until it fits good enough

\n"],"metadata":{"id":"b4I9Z3epNvBM"}},{"cell_type":"markdown","source":["### Model definition\n","\n","Complete the functions in the class below. Hints provided at appropriate places."],"metadata":{"id":"kBtUcOVnJu-I"}},{"cell_type":"code","source":["import numpy as np\n","\n","class LinearRegression:\n","\n"," # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n"," # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n"," # Hint: Google what a `self pointer` is and figure out how it can be used here.\n"," def __init__(self, learning_rate=0.001, n_iters=1000, w=np.full(X.shape[1],0),b=0):\n"," # Your code here\n"," self.learning_rate=learning_rate\n"," self.n_iters=n_iters\n"," self.w=w\n"," self.b=b\n","\n"," # pass # Uncomment this when you're done with this function\n","\n","\n"," # The following function would be the heart of the model. This is where the training would happen. \n"," # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n"," def fit(self, X, y):\n"," # Gradient Descent code goes here\n"," entries = X.shape[0]\n"," feature_count = X.shape[1]\n","\n"," for iteration in range(self.n_iters) :\n"," prediction = np.matmul(X,self.w)+self.b\n"," w_derivative = np.full(feature_count,0)\n"," for feature in range(feature_count) :\n"," w_derivative[feature] = np.sum(np.dot(X[:,feature],y-prediction)) * -2 / entries\n"," b_derivative = np.sum(y-prediction) * -2 / entries\n"," self.w = self.w - self.learning_rate * w_derivative\n"," self.b = self.b - self.learning_rate * b_derivative\n","\n","\n"," \n","\n"," pass # Uncomment this when you're done with this function\n"," \n"," \n"," # This function will be called after our model has been trained and we are predicting on unseen data\n"," # What is our prediction? Just return that\n"," def predict(self, X):\n"," # Code goes here\n"," return np.matmul(X,self.w)+self.b\n"," pass # Uncomment this when you're done with this function"],"metadata":{"id":"dGnFNPJx3I28","executionInfo":{"status":"ok","timestamp":1654122271109,"user_tz":-330,"elapsed":665,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"}}},"execution_count":18,"outputs":[]},{"cell_type":"markdown","source":["### Initializing, Training & Predictions"],"metadata":{"id":"EvyInkTKPn7W"}},{"cell_type":"code","source":["# Now, we make an object of our custom class.\n","regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n","\n","# Call the fit method on the object to train (pass appropriate part of dataset)\n","regressor.fit(X_train,y_train)\n","\n","# Now, let's see our what our model predicts\n","predictions = regressor.predict(X_test) # pass appropriate part of dataset"],"metadata":{"id":"nvItUpAkHTiv","executionInfo":{"status":"ok","timestamp":1654122369031,"user_tz":-330,"elapsed":417,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"}}},"execution_count":22,"outputs":[]},{"cell_type":"markdown","source":["### Evaluate the model \n","\n","Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below."],"metadata":{"id":"tzK6cq8eRD4Q"}},{"cell_type":"code","source":["def mean_squared_error(y_true, y_pred):\n"," # return the mean squared error\n"," return np.sum(np.dot(y_true-y_pred,y_true-y_pred))/y_true.shape[0]\n"," # pass # Uncomment this when you're done with this function\n","\n","\n","def r2_score(y_true, y_pred):\n"," # return the r2 score\n"," sum_square_regression = np.sum(np.dot(y_true-y_pred,y_true-y_pred))\n"," total_sum_squares = np.sum(np.dot(y_true-np.mean(y_true),y_true-np.mean(y_true)))\n"," return 1 - sum_square_regression/total_sum_squares\n"," # pass # Uncomment this when you're done with this function\n"," \n","\n","mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n","print(\"MSE:\", mse)\n","\n","accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n","print(\"Accuracy:\", accu)"],"metadata":{"id":"WqkrvDzcRF5m","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1654122689161,"user_tz":-330,"elapsed":396,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"}},"outputId":"3a8cf817-19ec-4b34-a45a-1b0c83818cdf"},"execution_count":24,"outputs":[{"output_type":"stream","name":"stdout","text":["MSE: 673.3063809304753\n","Accuracy: 0.936346427498015\n"]}]}]} diff --git a/Assignment 1/A1_200731.ipynb b/Assignment 1/A1_200731.ipynb deleted file mode 100644 index b6ccf0f..0000000 --- a/Assignment 1/A1_200731.ipynb +++ /dev/null @@ -1,533 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A1_200731.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 2, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "\n", - "\n", - "plt.plot(X_train,y_train,'*','MarkerSize',10)\n", - "\n", - "# Your code here" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 369 - }, - "outputId": "d057b03e-b5bc-461c-d21e-7be1f5991f00" - }, - "execution_count": 10, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "[,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ]" - ] - }, - "metadata": {}, - "execution_count": 10 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "X" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "7VwBQu6Su8Iu", - "outputId": "d70bfdb9-7da4-4d6e-b5eb-3273bc140d5b" - }, - "execution_count": 20, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([[ 1.58928579e+00, -2.43864781e-01, -9.53657453e-01,\n", - " -6.10570973e-01, 1.59709397e+00],\n", - " [ 1.91728485e+00, -5.80595172e-01, -1.94573993e-01,\n", - " -6.80116241e-01, -1.09591600e+00],\n", - " [ 4.86030067e-02, -3.74444917e-01, 2.09313488e-01,\n", - " 1.88646203e-01, 9.54698597e-01],\n", - " [ 2.02240507e+00, 8.70841779e-01, -1.54292905e+00,\n", - " -5.64875297e-01, -1.75210527e-01],\n", - " [ 1.01355006e+00, 7.97023134e-01, -1.85293455e+00,\n", - " 4.59581779e-01, -9.17741045e-01],\n", - " [ 2.96304983e-01, -7.23081483e-01, -2.43670919e+00,\n", - " -1.18048659e-01, -9.61613938e-01],\n", - 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" [-1.45246737e-01, 1.07763433e+00, 2.20356402e+00,\n", - " 5.08073300e-01, 1.61724121e+00],\n", - " [-1.90001834e-01, 1.67290643e+00, 1.96871939e+00,\n", - " 1.74544451e+00, -3.95259451e-01],\n", - " [ 5.05617071e-02, 6.93598508e-01, -9.95908931e-01,\n", - " 4.99951333e-01, -4.18301520e-01],\n", - " [ 7.99755537e-01, 9.81710663e-01, -1.87373844e+00,\n", - " 1.06569977e+00, -2.35967116e-01]])" - ] - }, - "metadata": {}, - "execution_count": 20 - } - ] - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " # Your code here \n", - " self.rate = learning_rate\n", - " self.iters = n_iters\n", - " self.weights = None\n", - " self.bias = None\n", - "\n", - "\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " n_samples = 100\n", - " n_features = 5\n", - " \n", - "\n", - "\n", - " self.weights = np.zeros(n_features)\n", - " self.bias = 0\n", - "\n", - " for _ in range(self.iters):\n", - " # Gradient Descent code goes here\n", - " y_predicted = np.dot(X, self.weights) + self.bias\n", - " # compute gradients\n", - " dw = (1/n_samples)* np.dot(X.T, (y_predicted - y))\n", - " db = (1/n_samples)* np.sum(y_predicted - y)\n", - "\n", - " # update parameters\n", - " self.weights -= self.rate * dw\n", - " self.bias -= self.rate * db\n", - "\n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " # Code goes here\n", - " y_approximated = np.dot(X, self.weights) + self.bias\n", - " return y_approximated\n", - "\n", - " # pass # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 23, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression(learning_rate=0.01, n_iters=1000) # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "regressor. fit(X_train, y_train) # Call the fit method on the object to train (pass appropriate part of dataset)\n", - "\n", - "\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 24, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " return np.mean((y_true - y_pred)**2)\n", - " # return the mean squared error\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " d1 = np.sum((y_true - y_pred)**2)\n", - " m = np.mean(y_true)\n", - " d2 = np.sum((y_true - m)**2)\n", - " return 1 - (d1/d2)\n", - "\n", - " \n", - "\n", - " \n", - " # return the r2 score\n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "d25115ac-87c0-48c5-d4fd-25eee6c33d29" - }, - "execution_count": 25, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 389.5184798939019\n", - "Accuracy: 0.9631753931003519\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_200782.ipynb b/Assignment 1/A1_200782.ipynb deleted file mode 100644 index a8b5ea7..0000000 --- a/Assignment 1/A1_200782.ipynb +++ /dev/null @@ -1,307 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "# print(X.shape)\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 13, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# shown the plot for all 100 rows with 5 features each \n", - "\n", - "plt.plot(X[:],y) \n", - "plt.show()\n", - "\n", - "# however if we represent n_samples as 1 and n_features as 5 and then plot the data , we will det the graph \n", - "# of 5 feaures independently with y \n" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "477378ed-6efb-4f6a-a4fd-96bedd9f0fd8" - }, - "execution_count": 16, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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u3Yalg1W0b2RCPCjSKv7L07+iggo+vv1jpMbGFMtKx2bH2svtebv323Tx6cyCuDlMOPsJ7/i0pmfQ5bNKqVSCs6cdzp4Xo3cqv91PedInhH28D5mPL5o6A3WVOuqrtFQmnKN0xymEkH5UForknLrQrL0ti08jV0mbHKWnd+fj5GHXzMxk5yS/4qy1vF7HjOXxeDoqWTK5IwpZc9OGyWzhaE4lI2P8EAQBURTZeKqIN7elotGbeWFoBDP6tITiIup+OULu0QTG7z9BTEMJud835kCSyVCGt8Zp8CB0we3IS/QgvJMX3R5cbN2vq4Wk1fDtDKg4h6HhCeTyNghPJYLHlU1NABQlQMpG6PsiJpOSktdeRxkejtesWVB6FvbORZ39K5/7tuCnAH9cpXLeKi3nDpc2CNPWgKPX1dtuRBAEZnWchdakZXnqcuzl9jze4XHgcgdupHskb/Z8k2Eth10xDt9gNvBt8rd8nfw1KpmKeT3nMTZs7A2Zk/6X2MTfxj8Gtyn3U7t5C5VLl2L3aR/gxsw+4T5OSJQllIh7mRBxF+282kHeUetOhcMVzxnb+k5i9AaePzqHR/Y/xUMxM3isw2N/6DBUx8aijIhA7mcN6XNwVeLgqsQv1AVzaxUZHz+C49AWnNS0p/aCljbdfYnuG0BDjZ66Sh1ZCeWU51qzjZ47UYZBa2rWvkwuwfF3/gY7VwUfHM7GpDbyzWPdrxiPf6aolnqdid6tPSmq0fLqz0lkJKYzRlbNvW4aVMvWcv6lVCx11r4lEikuLn64DB+KU0wMquholBHhSBQKLBaRn99PQOWgpc+kNlByBuK/hTPrwNgA/h1hzBKMiTEostXXFn5RhD1zwd4TseeTlL74OubaWoIWvYVkx9OIp3/iF1cP3g+NoNKsZaJdC55Mj8MlfCSM+xoU1x/DLwgCL3V9Ca1Jy9KkpcQVxWEns+NE6QnkEjnDQoYxqc0k2nm2u6pZKKEsgXlH53G+9jzDWw7nxS4v4ml3a3Ik3Sps4m/jH4Nd22jsOndCG5+A5chRwP6GzD6B7iqUvpsQzSpm3TbLutHQYH1VXN2hGtp2Ej+dXsc7dcl8nfw1CWUJLOy7EB+HK5tjzLW1aBIT8XjooSvul7q6om7dg7hkH8yKeoY8FE3rzs3bqqvQUlmkZvrC3ijsZOi11oil+kv8Db+9VhTUo603AtaIpc4oOLTgFKfclc0c0Y7uSuKTMhhSlIpkaRxHkpN5oroQB5P16UeUy7FEROA8fDiqqCjqgkIZvLGQaf3DGTki8rL3kby/kLLzdQweVIdqzUgoOA4yFcSMh84PQoDV0Wk4duaPY/wz90DuIRjxAXW79lO/ezdeY9qh2jWRHKmEBRG3cdxQQZRLEJ/Wm2ibug+6PwZD3oI/sVCqUlvZ9PklV1jTbczqOItxrcddM4Vyrb6WRQmL2JC5AX8Hf5YMXEKfwD433P/fgb8s/oIgtACWAz5Yl9t8JYriYkEQ3IE1QAiQC0wURbFasN5KFwMjAA0wVRTFxL86Dht/M0Txxmwy14n7lPspik+getNW8J2E5Ab6iC36BZl9Htriu5DSONM3WNMNo3BAFMWrzvTsBr/Jm0t70cVvNPOr0piwdQIL+iygd0Dvy45VHz4MZjMO/fpetk8URVIOFXMy4F5UhhrufL0fHgHNTU5mk4XM+DJatfdsWq2stJOhDHTEM9DxsjYBvo3N5vPt55gSE8DgEE/qK7XU5ldSV1pJXpYZrUne9Hm0d+jEebMFWXhXDCoLLp52uLZwxzXUD3tvB1SNN4wle85hlsl5oGfIZf3V5WRy7Odcgu1SaJ081zqrH7rAujravrl4GvXmZjH+l2Exw9654N4Ko88ASh8eh52PBTvVbhaHduMHYxl2op7XOsxi/ImfkBYlwrB3ofujV2/zCoiiSEJZAmvOrWFv3l5Mooluft04UXICERFPO8+rCr8oiuzK28W7x9+lWl/NA1EP8FiHx275quFbyc2Y+ZuA50RRTBQEwQlIEARhDzAV+FUUxXcFQXgZeBl4CRgOtG786QZ80fhq499C7HuQvg2m/XKZLf2v4jRwAHJ/f4xlZeB7/Q7fWn0tH8V/hFkThKm2E+dK6+kc4g6GBnQ1MkoenY2yTVv8F7x95QZ8oqDDfYxOWk301I08f3oRj+59lOltp/PEbU8gl1xcOKSOPYDBuyWbNuuJrsqnwyCrk9BkNHNwVQZpR0rwc9UTtm0BLqrbgebXKO9sJfoGE+HXGdt/KL2U5esOMNmhnnsKk9DtTkGemoarRgOAoFQij4gk1TmU/Tp3qh396NshghZ2/qirdFRV6ihI1GCJz2rWrkIi8qiDA2fWZnPeQ4WTmwInfTpOBT9zILkdgiWYfu1TEfpsgpb9rloEx6Azo7CT8GXSl6xKX8Wy4csIdr4kAilpFZSnIkaMpnjaaESjmbw7/Zjp50eJrog7Qu/gmZZj8Vz/ENSXwaSVEDnquq4NgMaoYVuO1YGbWZ2Jk8KJeyLvYVLEJIKdg9Gb9Tz565PMPTIXlUzFsJBhzc4/nJvB03vmolecJdI9kiWDlhDlEXWV3v45/GXxF0WxBChp/L1eEIQ0IAAYA/RvPGwZEItV/McAy0VroPYxQRBcBUHwa2zHxr+BzF1QegZ+eQnGfn5TmxZkMtwmT6b0663WvwXxD86w8kniJ9QaamkpPE4KEtJK6ugU4ETF2l+p2O0FlgwUYRHXbuT2VyB5Pa1O/MBPY3/ivZPv8d3Z70gsS+T9fu/j6+CLaDJRHRfP6Q7PoC7TcnLbeSJ7+mHQmdn5ZTLlefV0HhFCW79K8jdp0SYn49S/f7Nuzh0vxc5JTlDU5bNQ0WzGkJPTmOsmldrTZ3BMS2OpyVqDt0alQhURgcvYsaiio1G1jSbHzounN6eSXFQLwEcT2zOuY2Czdi0WkYaaixFLsYklZKZdoJ+nM5UFNeSe1mG2SLBKxsSm83YUPYTTbhVO7lnN1zt4qFA5WJ3S6oYGcnXn+Pn0Z3Tz64avwyU3NaMWNlsdrtVb9qEpdmH/XUF84VZKmCqM7/t9QGe9AVZOAEEKU7dB4PWlucipyWH1udVsyd7S5MCd13Mew1sOb+bAVUqVLB6wmEf2PMLsg7NRSVX0b9Efs8XMnP1L2Zz/HchExoc8ymt9Zv7pBWJ/N27quxAEIQS4DTgO+Fwi6KVYzUJgvTEUXHJaYeM2m/j/GzAbrZEZ9p5weiW06n/TK2O5jr8LVuwFQHvyBIQNvebxZyvOsi5jHfdF3gdV7UnJzaYo8Sy57z+HLjUVe28DmnIldtHR1+7Y2R96PA6HPkDV43Hm9phLF58uzDs6j/Fbx/N2r7fpUOTAqZD70GBP74mtObw2k51fnaWySI3JaGH4IzG06uCFpcEHJBJ0yWebib+uwUjumQpi+gUiiBZ0GVnoUlIvhlempyNqtQAIKhXZLv5ktOrOHRMGEND1NpShrRBk1n9rvcnMZ/uy+CL2GK72cvxcVFQ1GBgRc3leGYlEaPINmFuJPLg/hX5h+dwXsA5SNyF6GdAGDKXcfwrbt1lNZtF9A1BXX55G4zdkCgkG+wYkNXZ4E8YDAc8x0nUw1Xk6nDzAXpuNsLQHAOpaGcVn3TjTWuCHyBqe6/Ac90Xdhzx1C2x8BFyD4b514H7tEEqTxcT+gv2sSV/D8dLjyCVyhoYMZVLEJNp7tb+6WU9mx+cDP2fG7hk8F/scT3R4gmVnNlNpysasiWBs4BO80a//Fc/9p3LTxF8QBEdgA/C0KIp1l15kURRF4XqnaBfbmwnMBAgK+muZFW38P1KRAWY9DPkYEpbBtmcgsBO4t7ppXUidnbHv0ROqoHbdOsRJgxGuYnIwW8zMPzYfTztPHu/wONviy7n73F5GbtmD0dWFgId6IWTuQFOubEq9cE16zYKE7631fh/YyohWI4jyiOL5A8/z1N6nmBX/NFqnYIZObk1oj0AOr82kML0aRzcldz7XETdfq3BKHBxQhrZCe0luf7O6gTPfxmIx2+G06WPOLTiCqLM6YwU7O1SRkbiOH48qOgpFZBRPxVWzP6uSFQ92JTS0eaRJYn41L60/Q2a5mnG3BfD6qCgmfXWUUC9HVPJr2N9NBtK2L+ErzXdE6fKgwRk6TUXo/CD23m3I+DYFiaycSa90xd3/YoTUpWk06qt0nMlJ41D6MVDLaYU1N5JdQhD7Es41nSPBiJP0c8yySiTlDTgGXSBnuC/rh00myMMf4j6GvW9AUE+4+8fLfAmXUqGtYH3GetZlrKNcU46fgx+zOs7izrA7r7s4iqPCkUW3L2Lw+sF8lGhN6a0tvIdQh168MfJy384/nZsi/oIgyLEK/4+iKP7cuLnsN3OOIAh+QHnj9iKgxSWnBzZua4Yoil8BXwF07tz5hm4cNv6HlFjrwhLQCUJ6w9LesH46TN8Nspu32tGhXz/YWI4xL5f6vXtxHjLkisety1hHamUq7/V5D1luMdFvv0D77AwOBHRgyJcf4JzxMRfi7UEQUDVm3rwmKmfo9zL88oI1QiV8CCEuIawcsZIlizahNXvjUfMzijYvs+e71KbTInv5Nwl/U1NtY1AfOIAoiogaDfkPTidDMggHuQPOklrsJ020mm6io1GEhDRLY7xwZzp7Myp4c0w0PS8Rfo3BxAe7Mvj+yHl8nVV8P7ULt7fxprxOR0aZ+jJzTzNKk2Hjo7QtSyZLGoJlxMdI2k1o8tvkJleQebLMmrHTv/l7+S2Nhl6m4dv8j9lSvwUCwEXhQquD7ek0NJiO/d2p3/8d9fF7qDe5U2r2JFHqj6raC3tVEHUu3XE7A0U+GoIUz1hvsm3vgjFLQH55Nk5RFEksT2R1+uomB25P/5681u01+gb2veF0yXFFcTyy95Gmv00NYUi1t/HpQx1Ryv59tQhuRrSPAHwLpImieGkFjC3AA8C7ja+bL9n+hCAIq7E6emtt9v5/ESVJILcHjzBrCN4dn8HaKbDvTWtY3k1C6ukNlCNgoWLJFzgNGnTZ7L9CW8EniZ/Q3asrXXblcX7Jy8gdHHmryxQOB7TncGwhKzzq0VXJUYS2QuJw5Vj/y+g0FY5/YZ39hw0EiZRTW4tQZnsTkrud+NZpZL19ELcGX7qPbUVBWhUpB4voODQI2SWzblVMW2o3bsSYl0fpm/Opyiyltmso3ce2ouWwe6/a/ZakYpbEZnNP1xZMuSR1w5GsCl7+OZn8Kg2Tuwfx0rA2OKmsjujDWdYkar2vlMLZbITDi+DAexiVrjxueIYeI+4nrMvFpzWDzsSBny7P2Pkbv0XDvHP8Hap0VQCEuoSyqPdidhzIRn4hEcVXL+OhqcC5w5385BvMkqz1BJcIvLHVgtOokRR0e5hTe/NpXfkBFK+G3s/AgDmXOZKv5sCdGD6REJeQP/z4fk+ltpLpu6aTU5vTtC1QMoL0oo7MGxVJuM+N51X6J3AzZv69gClAsiAIpxu3vYJV9NcKgvAgkMdFL9EOrGGeWVhDPafdhDHY+LtQkgQ+bS/GXkfdAZ2nw5FPoWV/aH31XPA3QlN6B9GCPj0d9f79OA0c2OyYRQmLcC9t4Ll1F6hI+wSnYcPwfPVVji06gZNcyuGsCkoslegqBRwG/YG9/1JkChg4F9Y9AKd/IqmmP4m78gj1bcDxTC5+klfRGHRsb/MFavfOTBo6ne2fJJN+pIS2/S7OvO1iYgDIHjESLBYapn8I56+dwdOauiGJLiFuzLvDmkWyVmvknR1prD5ZQIiHPWtmdqdbq+amjsNZFbg7KIjy+11myfI0q0295DS0vYvXtFM4qjXwUZfmptZjm3KsGTtnNM/YCVDWUMZbx98itiC2aVvfwL681/tdJMn7AUcUGRsgqg2JXSfzVvY6MnN+pr/ayOP7/JH6SnB56mV2vHeGcNckPEvWwqhF1u/NJeTU5rAmfQ1bsregNqpp496GN3q8wfCWw/9UyKUoirx17C3WZqxt2uZiGMzsno/xzKpMbm/t2ezm+m/jZkT7HMZaUuNKDPz9hsYon8f/ar82/oZYLNYon/b3NN8+dAHkH4NNj8Ajcc0Tef3prqzirwgKhPQyLnz+OY4DBjQ59OILjyNZsYn34kDiVIHvx4twHsfB/eQAACAASURBVGYN4QtwsyPa35miGh352cW4NIio/sjZ+3uixkBAZzK37ORwWQAt23siO5VMUsxjeHg6Mm5mZ7S5SaxMW8lp99OMDn6ShF15RPb2R9qYDloZEfHbm8HrhReJP+9KYIQdjm5XLjhSXq9j5op4PByUfDG5EwqZhD2pZby2KZkL9Xoe7teKZwaFX2bTF0WRw5kV9Az1aEoRjdkERz+F/QtA6QQTllEUMJT1C/fzYO+WOCovSkNJdi3JBwpp1z8Q31YX02ZbRAvrM9azKGERaqO6afu06GnM8uqOdMU4anLzgS8wdLuP13yPszl+Ab4qDz4uqyAqsxM1hdn4//ADJ3dmYDGa6Kr6Ae5ZA+FWM57JYiK2IJbV51ZzvOQ4MomMIcFDuKfNPdd04P4RGzM3MufInKa/jbUdGOb7KG9O6sLEpUdxVslYOP7qK3z/Dfw7YpZs/D2oPm+th/v74idyOxj/HXx1O2ycCZM3XjUm/Hr5LaWz29ixqN9NQJ+ahjo2Fqfbb6chI52qxx7h3kIL9oMHEvDGPGQeF2fCQe72FFVrWTAuBuMcayz8dTl7L0UQKAh/g70JGjzdNJj1Rs5JYmhhX8nwF/sjV0qZ7TObLr5dmBM3h5+dvuL2vPvJOF5KZE9rQZSKz5c0NWfsdyd1JxPpMurK0Sx6k5lHVyZSrTGw4dGeCMCTq06xNamYNr5OfH1/56umW84sV1Ner79o8qnItM72i+IhcjSMXASOXizbkQbQbFGX2Whh/4o0HN2UdBtz0QyUW5vLG0ffIKEsAW97bzQmDVJBytyYRxiTfgC2zQNHX/R95sBGWFiymQxNAtPbTufhlFgshXYUHMrG/YEHMMo1pMUbiXY5jMuMZeDfgQptBRsyNrAuYx1lmjJ8HXx56ranGNd63HU7cH+PKIocKjrE479enHtKzV6oc55gzsiOTOkezPxtaaSX1vP9tC5/WK7yn45N/G3cPEoarX5XqnzlHQnD3oFtT8ORxVZ77l/gN7OP8+BBaL/4AHNtLRc+/RR9ZhZlnyzGRW6m+tXpRE554bJzg9zt2ZFcQrS/C+fVJrRAmoMPnW6g/wv59fyy0QKCBE2tgcqaGlpnbaDn/CnNCpUPCh5EG/c2vBD7AhfOF7Bnk5aWXTxoWLmKyi+tJSIljo6kHytBppDQqsPlyclEUeT1TWdJyKvms3tvI6tczeRvjqPWm3h2cDiP9Au9LIHbpRzObLT3h7rBkc+smTNlKrjrW6tDVRBQ602sOp7PiBg/AlwvxsAn7MylulTDqCfao1DJMFqMLEtZxhenv0ApUzIkeAhxxXG4KpxZrGxNh80vW30+A14jJXwAn+xaSTtG4+vqzYLR6wmtzMOcNo+cE6EowvzwGujP3pWHkAhd6fT4VBKlNaw++CJ78vZgspjo4deD2d1m0y+w35+Or7+S6AOI+bOR4sWP0zvSrZUHBzIu8F3ceab2DOH2CO8/1dc/CZv427h5lCSBRA5eV4ma6TTVmpJ331sQ0ueai3XiNmShrTMQ3s2HwAi3yypn/ZYiWWqvwnXSJCq/+gp9ahoXUtNIaCPjzNTevD/m+Su2HeRuT7XGSJ3OiLTKjNFFwSs7stkW5of8GhW6jmZX8sWBbJ7oEsLZFRmNWTeliIJAb90qlDVJOHT6+LLzAp0CWT5iOYu13yPdZ8enr73AqM17cBoyBIfevSh6Yz5ZJ8todZvXFYuc/3Akl7XxhYzvFMjGxCJ+TS+nQwtXFo5vd13OyMNZFfRyryNw8wTIPwrhw2H0x+B00bew9mQB9XpTs0pdlcVqEnbmEd7Vh+C2HqRUpDD3yFzOVZ9jcPBgAuUuLMvaQLhez8d5FTgW51Co7YClVUeWyXWs3TWVoOoo2gGze72Ir7MzrJ5K6Rl/TGoDIY9FUrn5QzK1i7DvXMf9p18gozoDJ7kTd0fczcSIiX8pNbJFtLAvfx8fJXxEQf3FpUUD3J9nc5wn7QJdWDq5E/6udlSq9Ty/LokIHydeHn4dUV//Amzib+PmUZJkTYNwtZBOQYDRi6EoEdZPg0cOg+ry0osA+SmVVBU3WFe7Oito3dmbiG6+eAU5NaYibjxQtGBpXPT0G5/cpWDjwDlXtdcGNZYzzK9oQHHBgn2YG+fK6vnm0HkevUp1K43BxPPrkqiu0rInvg5Xi/Um4R3sxNCWuyh77yB2Pfo11Rj+PXKpnOfGz+DbY7/gUNSFsy1jcX5iCP3E1lR6xGDQW67o6I3LqmD+NmvI6C/JJZhFkddGRjKtV8trlmD8DYPRRGjOSl6QroIyFYxdCu3vbpZ3yWwR+f7IeToHu9GhhdV0ZLGI7F+RjsJORudxLfgw/kOWpy7HU+nG+36DOZx9gD3Vep5N1dMnw0JdpRd1ogCUcLp2B2sjrE8/vnKriUuhksPZ9dQez6Au2x2vwS0oLfiOLeI7mGUavhMW0JIg5vaYy4iWI/5Szhyzxcyu3F18nfw1WTUXU1bcFTaR/Kzb2RxXy10dA3n7zrao5FJEUeSlDWeo1RpZ8WDXa6+D+BdhE38bNwdRtIp/5OhrH2fnCuO/he+Gwdanrb4AQSAuq4L8Kg0TOgUik0rwCXFGXaVjwAORZJwoI/lAEWf2FeLqY094Vx/qq6yLnwofexTx9IlmXbwgDqGFU4sr9Q7QVMu2OCufFloBn3A/hrbxYfGvGYxq59e0/1IW7clAlp/PM/IADI3CX+wuZeT0SOR5IzFpt+DoWnzVPrUpKVT/+BNhp4tJCZ/C6d7D+fXoy9wdNoEw/+6opAYC2zRfxJRX2cB93xxv+rtdoCvv3hVDsMcfh6SeO16K0lKFe9IzvCo5xgXvPnjd+yW4BFx27J7UUgqqtLwy/GLmzuRYa8bOlncquW/veAoaSphoUHHf8XT2VJcyKEfgvhoAGXiICNPuJq7gED33FLOr08UbS1/v/qgBudyMccublCa4Y/CX80pkBufNvRlbEEZ9h3N8M+RDOlQVI3jcBnJ7StQl7Di/g7aebenmd32pv4wWI9tztvNN8jfk1eU1bW/t1pqZkS/z/hYNuZV1zB0dxdSeIU2Tgx+P57M3rZw5o6Jo4/v3qrN7K7GJv42bQ22htZD2lez9v6dFV2uenH3zIfR26Hg/C3akkVJcx4/H83jnznZ4hziTdqQEz0AnxAA7Xi8qxq9eZJSg4sQlNXXPGSPo/vZEVK18KL5nCgBddpxHnHLlDJ0GrYkW7labdt3pJABUof68cUc0gz48wOubz/L91C7Nzj2bW0HDN18z2bUvBot1Vujc25ulGUVsXhLH56ZEvAVwtByBwvjLzFmixULuXeMBCAgNo8BdQc+quwgc5MWaM+uZ6jqfYPUZJJKLCcVqtUb6vR/b9PerIyKY2NUbF9VVhF9TBXZu1hm9KLL3e+vTwp3eNSwwz2D2AwvA/spPJd8ePk8LdzuGRFufPOoqtRzblIXeM4+3sj9kcIaJ99IMyIoN6I1udJdBcoiAX0QdfiEyvh76ID9krmXuXhPlLqDrGk1nhQMplSm0cYoingLqkr4mOVaPvSjjhdEWRBdvxmXOROVgYaZbIvJlb2Aw6djX5T42KSwcKT6CiMiMmBl/KP4Gs4FNWZv47ux3FKkvrhdVWESekPsREPopz608i1wmYeWD3ZrVM84qr+et7an0Dfdi6u+yl1r0esw1tch9/p32f5v427g5lFiFFN/rEH+wOnzPH4AdL2Lw70JmmZrurdzJudDAmM8PMz06ADcgM72SWXEZoJDiEu3E8lOpvFqdzXm3AQAUenXn518FLBnFuEd0IibzDPrTSWiOHcOhR49mXTbU6Fn5+lGGPRyDq70c4VwyCCKqVkHYu9jx7JAI5m9LZUdyKSPbWfPfqE+dpuzx5wls+xKGxrULd73YCd9WLtxe3Ypn1yZR/f1+LP6tiHA3wu7XYdqOZmaVym++bfo95NuvMWZZ2L8ynYkO02jl3okSQcQtbQe/ZEUwPGwUaSV1DF98CAB7hZT5431548izLMktZse4rfg5XpKbR18Pv86HE1/BwDnQbiJsfoKhrjp21bzIxvJ3SG+rwOUqwn+6oIaTudXMGRWFtK4Ay9lNbFwvx6gPIfjkN3yTZ0ZAwOygYn+UyInWEpJDBAxyAR+TE9i5U5a5lqBykeh8yLinO18M+YihG4YyvOVwygqsVcoWb/qeaYUy9g4UeTl6KCHF/uwstaOr8xfkZB/gZ2d7tjt7U1txCKVUiYhIuFs4M9rNuOpXSGfSsSFzA9+f/Z4yTRkq6cXonF4aLa+63sYmr7d5eOVpov2d+XJK52bObL3JzDMr4wnVVbLAR0r18mUY8vIw5uVhyM3DWFICokjImtXYtb/O7/U/CJv427g5lCSBIAGf64yXl0jhzq9gaS8sa6chmF/i3m7B9I/w4v2d5/j+WB5PoeLz9alUOVtY81AXfPZsovjQF8R3fLmpmTtmdSA1KY+kI9XgN53DXjq8Kk6jXrqRjl26Ir1kWX5xZg0mowWT0Uywuz0ORzNROpuQOFnt3A/0CGbjqULmbU2hV6A9uqWfU7HiJ9L7fdLUxuQX2+DSGOse6GbPirGh5CwqYEXAcI7rong5/ys49wu0GQGAsaSECx9ZF7479OyB3NeXCE8LJ7efJ/6XXMxGR5wdq3CvK+adn1/mu5b7OZnYB5DTKdiVO3rn80b8q4gKCRbRyI9pP/J8l0ZHdsYu2PYs1BWBWzD8Os/6I3cg7K43ObJZRX2FjoGFV8+O8vP+ozwp2874HQs4v7CQNH1f1C2nEZ61jhYqFZ5DwtnjlMQ7rR2JUXpSq7DDoC4EoEwmA6O14tfYJCWi0sSoWYtYnrURrUnLz5k/U5xrJkbozZRYExJ/A094VUPct/xUtQiJqor5nepJ1fkgF0UG+vdidNS9LE1aSk5tDh/1/+iK5RM1Rg1rz63lh5QfqNRVEu0RjYeunnOmBtwtFl6srKbf/XE8t7uKXXszGdfOl3nd3BHOnKQqNw9DnvWnLC2TdyrLkSJSvxXqAYmzM3I/P4zFVhOey5g7UEX989M3Xwmb+Nu4OZQkgWfEDZXTw9kPxi5F9dMEXpH9SJTfYJxVcuaPbcsdHfzZ+H4CviYB79oyVC88TtWZJEr7P4WBi7Zxn5bOvFv8DSe7xvNN5ApyFm6hzLMdpTJ7zrxwkIgegYR388EryImSHGtKY5W9nBZudniUFqDyMTblrpFJJSy4M4Y353xH5sg3Uag1HL5E+Md6HcSl1YBmb0F72DpDv3fWvTx3spYJtVtx3vgyTs8ORKbRkHX7xeMd+1vr/0plEm4bEsShNZkAdBvgA9sgKj+SX3x2Yx9yhhjV/bj5b+WDxDhMmjB0JeMZ3jeB9ZnreTjsLpx+nQ9nN4BXJExcBgfevzioR+PAvSXeqhLqP09DUmMkN7mCkJjGOP/qPEzHVlGzfSMz08toKFVSZJKgVnmT22UCClUlvZ/0QZK6lTkuSn5xdGJki4H0DRnCS4deuuxjHO7Rlz5njyAZNoAPMr5kZdpKAMJdw+iut8Ni0KGUiIR0qeZYYDS79X3wLAtmT8gPyE31zK6oYuSghbi0v4/3TrxHckUyH/b7sHnOf6DeUM+q9FWsSF1Bjb6GHn49aCdzYUfOVgqlMu4t0TDNcxx1ztGsePxDel0o4WFqsdtWTqHpYhlMiYMDBt8AElR+uA/oxZAhXVAEB6MICQGLhcLHnwDA6+mn8Xh45r92oZdN/G3cHErPWAt63CjhQzjmczcPlK3GXLEfvEcjiiI/JxZSJrXQUS9hUexH1EhlFEx5hbKiAMK7+ZJxtBSA9w7/zMGigzzf+XnaRYfjP8CZ0sWzqXSPpqLNUJIPQtK+Alx97Kkpa1zQ5SgnXKrFUduAyt0ICqv4m6qr8fz0XeYf2UKGd3sKe81sGubtB57Ec8e2y4avjo1F5utLmz6d2NzDwsZVs7gn52U+WfgagxJymi19V7S8GLYY1cu/Sfx3SyQMltvhneWIxmcq9kE/kMpCKAZd6RgcDX2QSeGxDtO555c9/LxyCA/U1ED/V6xpprc8CSYDuLW0LrQrPgXuLTmSU8lBNyMTquVs//wMD/Q5iG7fdtTpVWgr5YCAxs6Z9E5O7AqqIVw+E/dSe8Z5L0KdnMRTwWGkiFpmdZxFuFt4U5y8TBQxXSKI4zJcEHU6nvXYQ16adftouTdvn9rHtuJOXBD1JI1058nbAihtqOLezE6Y3RtY0KsLUTs3W8sxtr+P3bm7WZm2ksmRkxkScjFRX42uhpVpK1mV+iOKynpGStsxwNKfgp3r0NZLeKkKvGrMCBYlVWwHttNdpkDWIgi38BirsAcHowixvtapnBj+ySEclTK2PdkHO4X16VCXkUHho49hqqwk4OOPcR527VTh/3Rs4m/jr1NfBvUl4Nfu2sdpq60i9bv0Dp9L7sNLFk/olicg4DaWJOo4uC+R2SWp5HkNQ+wxjB9iBuKeIcFdAM9ePk3iv/r8Z/g4BXNvpDURmuvECVQsWYJ3RRLeh5MY8M0ySggk5dBFR+C2z5PwtqvEIHdA5X4BUe5A3bbtlC1YgLmujupJL1NY1hgtJBMYEP8aiv69rDPDS7AYDKjjjuByx2hrVku5lHumPELNp+sYsWEz2goHkCpxaBOGPiUFqevFFbiX5sfZeqyQjgGtiKzNx9nLyKWl2sNb1EKlnNayGtr+8gpdtDpWODlw74ivkZ/4CmIXQItu1syX7i3h69th52wIG8j5lNO8qN+N0dCBQkUHlh3qy4C4NahCAnAaPYhH64vJb30cB4XIE5JHqI4NpbPDakq8zcxyiKbeomd2x9mcLD3J4sTFTWMyCQLedt6Ua8sRLCLatRu5ECxndHhbkiqSiZdaeC4rkV81TjQ0OKFz1vFxmwa6u8YwTXoXlTo5oyZ6EPzrw9CiOwx+k7y6POYcmUM7jxieCriXhmPHqc5KIenULmoyUwmvMrG0RoLMZAFOAacIlQkYnM34tOmEKrIjcTo7vs8349CyJQsfHkDQFaKiRFFk9soEqhoMfPtAlybhVx88SNEzzyKxtyd4xQrsYm5wxffv+iio0uLppMBe8feV2L/vyGz8cyhtTOP8R5E+m5+wlncM7AJtRkGbUYgeoZwp1bEpYj7P5czgwg9TyD7UmaXpuzC5BpDnNQzl/U/xsMnC4bRMYt0tfPbtMZ7DaguWKKrJy5jIpsRSJnRugczNDZcxY6hZuxakUuq+/YKo77/H2cuOzYtOASCVSqgsciKuxzvkWU7hNf8XnI5txa5tNIW3P01akrWoe70gEul6BmqqeKHFEUae/Y4HYx5sejuaEycRNRocLynGIlosqJMDKdM7c7b7dHzKE4lIWQNA0bPPErZnN/U6Ix/+eIbf1vI+6u1Fhrcdt+enIFNUMiHsYZbvDMY3+BAF7MRFeYJHK/KhWsrU7lN5vGAzu7bNYFRdLQyeby0w0+iMNkU/hPqrF6kf2Z5Xy5SIJgnITlLY21pRTfvuBugj8NCelynX59DVuT1vVtWxN8ELN0UpF0a1YG5RIi5SFwYE9uLjxI8xmo2XfZTlWmuG9tuyRXxrwDeqDOmZAj4LDgQkjPPx47VdIvoQJfi7sPOunXjJfVjx+lH8Q5X4HXwQTaUDhqAJaD76iJPHNzC/XENgbSq5+ouz/kApuHk74h4VjczLme01OznqI8fN3sgzLXvSYdz3NBjMPL8uiV/OljJmoD/vjmvXJOq/Z218AbtSynhlRBvaBrggiiLVK3+k7J13UEZE0OKLJch9r6985m9UNxg4XVjD6fwaThfUkFRYQ43GaE0XMfbP30RuNTbxt/HX+S2tg2/MZbtEUaT2ghZXb3sI7mkV/5oCa8HuvXMxuYfzkDGKULe7yQieheKLpcyoKMW+bz/83pxHwvvnOJ90gZKsWoKi3Pn6oSgW7joHu6xRJB3dB2ExdeHFDWcQBIHxnQJxv38KNWvXInV0RHP0GJrEREpLrX4CmVzC5Pk9SJj6LMXlCsp8OlOgdIe+jTkIG4W/TrCw28dMz60/kd5CQl4LJZ+d/oxeAb1o425dAaqOjUVQqXDo3r3pvRa/+jppOfZktp+CxGwgoPhQ07XQVVWzL72MVzeepX2JGU+pnMi+3qTvLyPDt4zBFlgaNJenDrngZi+ysf8ETu2OZZ6qnsn+Xrwe8zCjso7T0mBkrcKeIWO/Q962N/rjv6LetIz6Y6fRlpoRBQ8UdgZqgp3xmPwUoeMmEtggsvyVIxzdWcrKirnoJEZm1Pnw1PmtHNI8jtrihWVYNu/kWzNcmkQT23O20z+wPwcKDzT7TB2kSsbgzKSCNDJPOFPpJOHkmOG8X5PQdMyTcfYEVjZQ3t4dP9EO2ddrOZQtR2uKJDruXbIrGwAZ7PgQs1TA1UXEKTScDDeBw5IcStwgusNA7u7zBFFOfiz7aShLLVXIkfN0VQ0TZpxE4uxPbkUDM1fEk1Wu5tURkTzUp+VVbfQ5F9S8sSWVXmEePNS7FaLJRNmCBVT/tArHgQMJWPjeH6b11pvMpBbXcbqgUegLasit1Fx23JgO/jwxIOyabf2vsYm/jb9OyRlrpa4rrNbNOXWBnV+fZdp7vbFvf4+1MlPUHdDzKUjfTn3CBh6VbKbuhz2UnXFGL5Hj160al5fuRvD1wSe4hPyUKmRyCf3ujcDZXsHbY9uyZNd+AA4e60a/MIEwL0deWG8NNx3fKQyHnj3Rnj2LxNmZiiVfUNrB6sRTOsjRZ2Vhf+wXwoB2mrWUPfgjJ+OarxIOcizmA9Kwa6hn+XBn1o1exYO7H2T2odmsGbWGqnwtuZsP46LTIcitOfPP9epLqucQSlpPRLCYiDn7FZqWJhwLXKC2Fq3exMM/HGO8QzLB9MYtRsJ87QuMkT5BlHEAsIwDG1Ko92jL3tuO4PbjN3SXu9FKexemdmm8enYpJ2s0PH4+lKCdBWQvnonMUYJJbQFEVH4KcgY/Q6EYgpvyJH7yNELunIhEqSS9+iQZYXGEZ/Vicvw8JvhOxEMqpTRqHmf2t6MmLIfVFz5tev8Go4wWkpHEFm6/7DNdXJhPZ4kjJzz7E5R/moQwgWOHTjKxWsSvCnqlidBovNKrzShKkijNWU9m1zfwMWcR7JGEYsgQFAOmEcs5Xs1ahEUiIBPyQYA7w8Yzq+10Ap0CSTr+KZPOfEamQsEgrY6Xu7yIT5eHAYg9V85Tq04hkQgsn96N3q2vUKvgt/djsjBr9WmUcgkfTuiAqK6n8JlnaYiLw+OhB/F69tnL6kGIokhupYakRqE/VVBDWnEdBrMFAB9nJR1auBLgZsfR7EosInQKduO1kZHcFuR21bH8XbCJv42/TkkSBHS84q6izBoQrfVcUblD5B2QtAYGzYPuj7D+fCSePy0gsjIfvb+S6M55yO0tsGIMRIykoXw6IKHDkCCcPa2mnp25OwFrTPcLgzuzeG8mZouIKMLz65KQCDDkgfspePgRlJGRqA/HUeJg9QnI/o+98w6Polzf/2e2ZTfZ9N57JSSQAqH3qiAeCygqxYZHsWA79q6IHnsvYEVQPCIg0qSF0BIICSEJaaT3ukl2s23m98fEBAT1nO9pen7e15VrNzPvO/Pu7Ow9z/u8z3M/fV1UXHwDAF1eLtjSQzl22IRO2Y3JLuvkaBSdGLp9OdwdhDpjKJda9qF//WqeCHFmeW8pnz3+KH3NU3CNvISUE6/StXkzVY88w8khN9LlJlt78ac/ozewk0nx+ZQWBiAg654/qPqcEb297LWMZrXlNbqVnUQ4fU+t4RLavbIILD/MwfB16E/WQMoiXjbM4oryN5mSk8XhfB98zmg4uwS2zk+Nfuwo9FfcjCpyGIW792P/0karLYNWMii6Zz89wW3sU2/G7lNDTNkYADZ1PIpudjrNO0xY1Aa+9ngHAElSIJp96NE20oNM/I59Mqn7dUiM79DSa0pkR2MrYbXyjC+1TCK1TEIUwHiWEGbT3Dgkiy8eo6Lo8Z6HbVctk/zexnPqGFjwPtuqdvDA/ldAIaBSqJgfO5/FQxbj5+RHT0clz74WxjoXPd4KBa+anZh8YzaotUiSxNv7ynlh+2ni/Fx479rUC2Zln41XdpVwsq6Ld65JxcPQQuWyW7BUVeH/zNO4XXYZ8PPuGwCdWsnQIFeWjAljWLAbw0Lc6DXbeHZrMVllbQR76HhgVjyzEv1+N9FBf5D/H/jnYOqAzipZtO0CaK404OCoGhQsS10MBRuQCjbSUWAnY9WLmFHwRvpV/Hnl7ai9VHJVqcwXsRTtpq1VJurAuncgP42esDG8kP0Cl/EwAH+eGMVFQ/15eGMBmf3qlSu+zOPlK4aSFBaGZLXQ5xuFxdxf/KWhGkGrxWaxUTJ8Cd3dMQR5tdDX2Y1J0POVo4WHrh9Dzf4XCFnfQU3yVCoN86k0zMezppLbrM6YHDxBAGW/L7zk6TfJT70fs1Z2LUVUbMKl8xS3p91GWu9DCKKI0cERJ8FOmuMe1nc9iqOmg0qbNyfqd4O2hjW986gJHkd6+XvotS5IV2yhr6iYmzbeQFuRngq7Hz/NM71puZI1V28gyF1+4OQ05vBY/QpSgmaSXDsZtetJTmsM+NckM8N2PapSEw6aEnotMZjNiRR830R0nwu74r5AaesjqAX82m34d9Tj3y7h12/Ju5w1KRIx0uZipM95kDqev1xBg4dAsyu8dCgSXVYJXy5U88QDX3H6rgPY1Try99YR63wETy+R4okrePmHWzhYfxCAuZFzuSv1Lrx0XiCK/LBxCc+2HabFRc9Vhh6Wz1uLPmQ0AL1mG/dtyOe7kw1cnOTPqsuTfnVR9XCFLMi3ID2Y8X21VN6wHEmSsDz3Ct94RHBiXe457htBgBgfZ2Yk+DEsxI1hwW5E++hR9Yv+tfWYefWHUj4/Uo2jWskDs+JYNDrsd6cJ9Af5/4F/Dg0/0v9vNQAAIABJREFUv9hrt4u01vbg5nuWVRY2FosynIb7VmGsNXPCN47Xhl3OS7dOZ0hgfzTMlEfA0ZPDXw2KcrXU9BD0txt509ODVhf9OecJ9XTik6Uj2JRXz4N/O0mvxc5dX53kvXEXEfzpm3T4y8ShEK24DI1Bm34j+3N1dFtDSXXaQGd3ILW2UWzXW4lL9sGszcZp41Y8TVpGzruW4k830VwrURk+58cJBwBtHvE0+I7kdMwCRKWcQRtQf4DQ6u0IQwTud1yP2Chbge4BjvTWtnCTVxRXV8eRo2/DsXkiOu06UBiIdthBqctUuix+1BVFY1xzPTaTEhjUmmmLC2br8MtYuO5VsiZ40Knv4tJNl/JC2hZy6ov5uv4RbJjZr2vDw6kOf0McbbEvsFj7Oj3GiWSL8+npiOTHUjHRfS4giTzweTGe3fZzrqlBD9UeAkdjocFdoNFDfm12F1A4aJlwxMj1dfDVfBtJUUEcE1sZWSzid6CEjWPglkseRBKU2CwipTnNKAQ7Lq7rWB6dzN6dg4vmr0x6hSkh8npLU9lOntuxjB+cHIkWRV72mUTSdW8M1H6objNy06c5lDR188CsOG4aH/GrVnaX0cpd6+UZysTKbCoefYV2Z08eGbmUqqw+oHDAfXNlejDDgt1ICnI7p5jNjzDb7Hx8sJLXd5dhtNhZODKEO6ZE4/k71f3/g/z/wD+HH2UdLkD+7fW92K0izh4y3UiiSMfna2n+yo4gWTgy4088rh1DhI+e8THn6tg3+S3kpDGHoU7bqVTNojn0Fk6PncLa7Me5wnyWb/aDaRB3EUL8HC4ZFsnEGB8e21TAxhP1fFJs4CGgyyUCtaUbhVpFl9mFnTVh2J0EksJ2YWnWUW4eRV0gVNjgvvEqPvjoYe6vlAATtctuwcnNk86IhQB4tBei76mnOmQqCAqK4q8bGIq/Ww8x+9YjAA1RXmSoyxG65RnHYV0L8QjMqU9EgZJYVR4fa9/CalLQU6clsPkHSsMmUxUyDd2edcCgFbknfDjvxM3jnitH4PPYY1gFJd8H3Qv9s597cy4eaKu2SoTYDtGpOk6Y/V4mFNyItuxptJZqprU/jCgo6HSN5sSw2+UOgoK8lOfp4xQN+hOU+JyiztOCRX1hUlUICtI9E7nmeA5qzz4ezbicz0OH4rZnJTd9L1LmB9GjvPFPnI+5b/CB0uyxj+uDRVwNFXhoPWjva+eu1LuYEjIFsa+LLz+dyisqIzadljvaO1l0/RHULgED/feXtLD8Czla6+OlIxgXfX7dgx9xtvvm1R9KESSR64q2EVqym3yfaL677HZmRgcOuG/8Xc/PIj4bkiTxfUEjz31fRE27iclxPjw4O44on993bd8/yP93AFO3hd2fFDFsWgiBMb+xhaTGfHAJAqfzF9uaK+XUf2cPLZaaGhoefAhjdjZOo0bg472VLE0F2Mby2Jwh9BUW0vbBh2iThqJLH8mebww4uajJ8NqGsdWPpsp0PgvaiKuDO7fP38Rnx4/LJ7GbByKH8I7HNf5iXkwez6I929Fm7wSgyzUcd6c+mq3emFtMOJm7Ge9bRndrI0eM16AN6GBtjwPPxhmpuO9B7s8zD3yGDtcocofJhWcCKzcTW7kNm9JBJv+foKnDAVXEPIpUNs4MuYJxVw/j04VzSdSeodVJQCNJRLaOwCqcQd/wNQVlPijb5J+gxrGLUK8DVPmNJbzyexwsXRz3jua9oXOpcpG1fF7/4gCra3LYHZLKSMspbipKJNOQj1+7hH8H+LVLeHUD2AEzXc4fcnz4XeQG3cQYwzt8n5LOUf0x1Ep/EtoGx23W9mIXIwjvHU5wpYXqriIqPE9Q5X4Kq1K+FsO8hzErfBbTfdLQvryUmjYb3jdehDRzJRu+vZRl34k42OCNuUq2pd+KtOsJjpzJA5YDkBW+n7tS7yLBM4Fbdt3CxOCJXBx+Edd/NYuc3hpEjUCGycyj6X8hOPWGgbFJksS7+ytYta2YGF9n3rs2jRDPwZnkj9E3Py7KnvhJ9I2DzcI9x75gbMNJuHgef3r6ceZr/35L/URNJ09vKSSnqoM4P2c+vf6XHzy/J/xB/r8DnNhVTeXJNhrKu7j8/rRz3Sj/bTTk/WxyV3NVNwDKqkIqVj2FoFDg//RT7AgZgW5zI39SZPK8bQEJ/i6IxZUYtm7FsHUrVcFTaYu8lHRVNr26y/E05VFuTaa4voyHJt6Pq/ascoU374fOaij+DqloC4ZP36Tp+CdorUrcpsbwrJRKnN0P41mh6qnZz2FYuIKj1aOI1uzj2wIrq+uO4v9t3TnjN2k9yB0uE/+oZDPd4dGYvsgmN/n2gTZmVTd6BzcKXAXG5p2gNnA8eoWaUWUmHnnjFYZ1d2PWi8w8LdLlEEyrLZLo0q8IrFNyJhASh3Xj52dCUICtYBtVzuOpDp7KRL/3cXI5RbihCedGB/RGM3358sN0elU2VGUDEAYYdNDoDoUhAg0eAgnWYALnLidj2ngcj3WSuU7FQ3GzORa8Db3ZkytPzMHV+TSK5Fo6DkzBwezOZ+n34WUMIqItmYi2YUS0J2MTrDiEWRg+Korh6dFoeivhs8upOdSN0tUD5+UvkteSR9jeUlIqJFZPU+Cqt5K57XbedXPF2DOKqYBC08a3C7/FLAhcseUKfB19SXYKYsqG/geoIPAsXly89DuEs+RBjBbZv78lv4GLhsr+/ZZuMxtz6y4YfePjPOi+8XDUsOrzA7yQ+wkBLdX4/OV+PBYt+rsXY+s6TazaVsy3J+rx0juw8k9DuSIt+O+qofB7wR/k/xtHX4+V/L11BMW501rbw5Y38rj8/jS0evV/e2hg7pHrwSZedsHdTaWyeWnd8hWOw4fj//RTHOxW8cBH2dwQeClzWg5zpVMu3s6XQno6HkuXUrf2Wyoj5+CnbsGtYDuNuxqwukbBcLhjTyQT3O1YdeeSNG4hWIPn0rA6l95DFWijAgiZqkfbfYgbDE4c6B470DT29Od0ukVzsjoAH9NJArM2cJtVpNPflaIgiJc1y+jWB5Gd9sBAP+2rK+hziyY79T5s6rPWHCQlH/uvR980mltOvY9VpWP3fQ9QmddJcHMKbSEp2LrK6WvKpts5GEGykxT0A5mTjDwd6Ma4anfu3KLD2q0CevB1zKYuYCxnjmxDY+nFHZnw+876uF5DurG42Lk1xpNGd+jVyYQ0V+3DZmsLX1nMvJ7iypq8l3i1cgOTvBeSVjuDZn0VFzVMRlCoeStqHd32dqZ5eBLZPozrs1fxzqg7aHApJyvsG/y6w7nHcQUNpXpy1jaQu76BYIdcwpQJiE3F+N54DQq1mu+3v8h1P4jkhwlsTxWQBA23+vkQoPXkkpOXIwGT58XhoHVlxQ+30tgrZ2a/WvzZwOe5JGA8c6a9ec5XWtNu5Mp3D9HQ1YdWraDHbGPs87vp+IXomx/dN1a7yB1PruO1/a/hKVgJevNNnCdP+vn7+Cz0mG28vbeMDzJl2fDbJkWxbGLkBdcAfu/43/tE/2PI212DzWxn7JXRWIw2Nr6Sy7b3TjLn9mHnSAT8V9BUAEjn+fslUaR17XraG71AUBKw6HKCr59HYYOBP392iBhfZ25buoT6F15hoWo38CQA3nfewb7T3mC3M+nPqbgP/QFrTQ3rPnkMakTcu3xpfEj2czNRJouuTZswl1fQ/umnAPg++ADuCxciKJVUn6jlwDslAIRVbqUybDYmnQ+lUVeg764h/uSHWN2VFCt8CO9sJL4/qqXNPY7CEXeAWbYoHfo6qAsYT2n05Tgam4krWUfBENk1sck3H4N3Jjcekh9IapuJ6A8fJaIJTA4eNPmm0uQ7gpKYBQPX53D7JIZ+m8m6/kVW61k/w9Cq7TT6jqA5cTzhqu9o8wkndcYM2ncV0rYpi4hH57C7LIv7QrrO+zqeNPThaHZgnVsrd+y7Rd4oQGb4l3j2BnBR8TIADoT9jW5tOwA7Y9YQeViWbpjRdRVLRrlx1am3mBXsyIx5E5BEicYfNlG+bT/l5tFU2oYjjLYS3Gog8MkbiT1QiE0Jb12kQOq3qkOcQ3irK50tNjlhSh8UxPv573Og7sA5433XeyJ3th/G3T0Cs81OUUM3J6o7eGNPOa09g643s02ksauP6f3RN8lBbsT4Dkbf/BTrX/6MGze8iNLNnfDVH6ONjb1gu7NhFyW+zKnhrztKaO0xM29YAPfOjDtHAvp/DX+Q/28YZqOV/N01RA73xjNAtjYnXxvPrjWF7Ft7mknXxv13Y4ovEOljqa2j4eGHaShsQkqRpYcDLptNfVcfS9Zk46JTs2ZxOg5qNe9YJ3Kv+AW0lIB3DOV5HbSoQ4ip3ULnY+/jtu4LinWdvBh8jBt7LkXUBRMxxouegBvgkHy++vsGVSb1Eyei8vfHbjCQd6SLw99WAKDVKXDrL+dXHTINnbGZlNLX0bv2YGrWMFRopDTRFR9NJGdq1RQPuQ6pn/gBzFp3SmLm49WaT0LRxxxJfwiAQpUFv3IFt2SqSaopGWgf0SS/6szthFXvJLR6JzVBkymLkmdIdYHzafSdi3drHn5N2fwtrZTx3gbGe8ZQ1eyPz8lcirxncpvrFMwKuLXTmzk7P8Nl1kyOxoRxn2XrBb+OYToDXICrbEor+yPW86eCuwEo8jk0uFOAdSnPsOD4Q4QXZvCB4iH0egXXT38dJAnh4Kv4Zz2Gf2wKo+KjOfbAatqDEmlSDadavBoh/EpOx54m0JTL3WNm8HXTVpo6Ksg+PhiYeqB2K2/UvDHw/0yTlZunb6SgyxlLyyV8k1vLu9/sGHDf/IgF6cHMHRbws9E3P4UkSeS9+AbDP3yb1sAIxqxbg8r71/3zmaUtPPNdEcWN3aSHufPhojSSg91+td/vHX+Q/28Y+XtqsfTZSZ0dNrCtLbiCiMkuFO1uwM3PkZTpoT9/gH83GvLA0Quc/ZEkic7162le1S8tvPAxKAWFQsCqEVjy3lFMVjsblo3Gz1VLYb2B9dbx3K36CsXxj+kb+ziZX5bgE+rM0HB/OtZ8T+Nzz/F0aiHeOm9i48KpPuGEpu8xXDxKgcEyjQ6xsai8vek9coTOzEMUxV1Hi/cwfLsLaXJOwLtkFz36wciRpIJ3URpNmLUqdmQIZCbDW+0lHD+WQXn8XCQ3EUuPHQfLoGsttGobEWe2UB4xbyCe/9qjr+FqGKwq9iMEpYRGb8PcJff3jOmhROePymZk+pm7aeiNpTkwjQbfNBr9MvCli+/EE2wVUsnstvJx1Vs0+6SSYpHwHulDx+cfIRmNfOabxWcF8iL2JQYzmZ5etFu7/66vakjjuIH3Y89cxt7IL0AAH8GBVxKmY3LSkJ1pIargGeKvPYirgxt8twJyVsudWooxZD6Bc6sbLRn57PfcytKNgRTEpKB1GMaYimuo+0BgQuDlFPaU02SNwz/SmYbybl4v+XDgofQn4yVsahnPV++VA6CPlVAqBBaMCGZddg0Wm8isRD9evCIZp3/A1SJZLFQ/8hgO324kOzyVeeveQeV6bkhwY1cfx6o6mJXoh0IhUNrUzbNbi9hzuoUQD0feXpjCzN9RktY/iz/I/zcKi8lG3g81hCV54R0sh5TVdtdy886bQRK4KuhuDn0Drt46Iof/l8rMNeSBfzLW+nrqH34Y46HDOI0ehf9TT7F3RyfQhKO7A7d8fowzrb18vGQEsX7yZylsMNCKK8aIGehPrOVQ89X09dqYszyOzsWyNd+1bj1uJgVLl/2VwFoPSg+30BR8LZ3PfgvJsk5+9MEsVB4yGbfXdPLdKzl090hEl23AtauCptQEHI0NnI5dODDsgoSlDClaw4a5dWwPUeNWdRlbap0xhQwjXMwkqDCLTL/BgjGCaCfyzGZqAydQHTIVtbUHq1qPynauJARAU4YTE0JLEQRoOelM6yk9LnFWGjtS8WnKwdIEsUOOkRGzjyH2dYxwrca7s5PEpjEoG1VEOki0R41HbW1nhMKDZaOcKH9+F/mR8JmfHMUywWjiWxcd9BN/otKZAvvPPwSCOuOIbR1BTuA2HFAxtG4qTc6V6L2yebGpHo+KZ5GAbL4BIGyLA+z0POcYJquJinIf2n0EHol35bk1NrBX8dHoWrJ6NtB6aSZlx1spzWwj3CoHADSUy2NSSEoSejWcrPkLh318mZ7gRnKwnDy1ZI+KCSHe5BzvwGoXuXdGLH+eGPkPEbCto4O65bdjzMlhbdw0Ln3lMVz6iV8UJbLKW/nscBW7ipoRJYnNt41lXXY1XxytwVGj5KHZ8Vw3OhQH1e8rSeufxR/k/xvFyX21mI020i8KG9i2pULWk1+SuJjN6o8Z13kN331gJfI6FTPTJ6JU/AdvXpsZqbmIzqZwml+eC4Df44/jNv9KBEGguVKWIGi22Thc0c3L85MZHTUYDnqqvgudWoku4wbq11RQeKaJYVOD8Q5xxunFF6m6bhHYbNz1rUjEslg6fWQruujbLrwYtOhUHh5IdjuFa/dx4IAVwdrHsKLVOEW4cyZYjiapChlUifSvz6LVayg5Kfcxdf9GJksnqPAPwuQcTmjVdsLObGJP/3qCytqLTe1EUN1eWjyTKIm6HK/WfDzaCymJWcBtN5u5fp/EmFwIGNNFwwE31vkZCdGoiLDaKO/yx5Uejh6bij3aAf+mI0Re1IxKJ7s3QuzVPH791dyy5zr2dn1BRHsy8S0TKXOXrXSNCGuey2WsTce6MYNLvvscB307OqX2gsTvjhIvi4kzSj0Ty6+kQ9fI8aAdSIKIW08g489cxmVjF+KxeBw05pP16QzWpD3AkpznKO1IZbhnBN7qCoyCwJfOeg4YnLm7HfbOceHDkyFoW0/y7JUKPmtvID/hITaeamFm2T2kO2rY03UnXQ6tuJrl73t+3gM4h+q5f7o/8Wm+6JwHS0raRYmNJ+qQOoysXpzOpNh/zJAxV1RQs+wWzA0NvJB6NSlLF5AS5klHr4WvjtWw9kj1QOinWimQGuLBVe8dxmi1c83IEO6YGoOH04VLXP6v4w/y/w3C0mfjxK4aQoZ44hMqZ3hKksTm8s2k+6WzIm0Ftwy7hW/iNlP/qYmCz0XWVCxkQerlzImcg4Py359xaD25n4bdLvQ25eA4KgP/p55GExQoj99kGyiccsbYx71/iuXS4UHn9C+sNxDn7wyhI9nbsxxnTRcj5sjFYBxTUvjh1hFMeVVO/6+YNRvBzQPF0EewjJhB4MLb4V2Z8DIfXklbgZE6v4k49jbR03mY4856JuUexRI/FLyhTzfo940vWYvljDNFcddSEn0lcCUAMSXrCazPJC/p1oG26cee51DGk5j1nhQFj8XNVElC2QeUB8qzjie3dRJSIuES2odKIS/eGp0kHvALIvzQRBbV7gCgyX8EaksHLl0VA8QP8LrmTcrKRtBcPBxrSBlFrmUU+R7i+r3BxNZFURExD0nwJnPsKqK6TyK15qB3PEme42DylMl+dhwQBHRFM7NhKKUOYBXsTGmQx1rpfpIhTWMRBTt1riUEd8Xzt0/sTOo4hm7/vXzmMYKEDjuJ2s0U9M3hy7a/ovW/jy0uagwKO385YEMUzCytr6LxWBf5YQJtrhBUC7v2fM8yXqNRbWWr+RWsmhpyfF4ksms2YYYZDE1SU1XZy6H1pRz+shRfH4HQIDjT08TQZgs6awsrRvThU55DV4kIkogkimA/6714/rberIP0Zsqqqbn+CaSpjYw9uJHPv+ykrMmAZBeZIkgIooggSSgkCcVxkXnuWlKD3XDJOYxY74+0bNn/N66esyFI0s/X9/ytIC0tTcrJyflvD+M/htwd1Rz8W9lAoXCAvJY8rtl6DU+OfpJLoy8daNtU3cnXLx7DoGtlfewqXJ2cuSbhGq6IuQJXh/NVNv9ZSJJE51df0fzsM0i2PnzvWo7b0lvP+fHUnu4Y0M43hDvyl/tGnrNfkiSSntjB3OQALnXQc2TTGS5yf4qwu98HryiyG7NZun0pTzSOIn7NoCTy7hkvYVBpqTWXk2CLAMCzrYA2z0T8Gw4SU7oepSirSUowYMH/CI25k7GH5MXa3ePdQfH0wL7Egvdp8k2nxXsYAOMO3IddqeHgKLmNo62ZlCN/RWPt4UTiHDo8pjFx/+0IgKOvGWOzBiQBq7MddffgDMyscSVr1NOEVW0jovI7nINMSBIgCf2vIElQqHHAgoBGlAiuF1BK/Qlmw+9CYbcgiL3Y1e4IdhPOXSdw7cxGbyhBgYQggUIEm8qN4sRHABAkO3bVL8sT/58giShEGwrJhiDa+t/bUYg2ep0GC8u7txfR4REPgG9TNoJow+joi8ElTK713H8st85SAhuy8G0+doGT/d8gIoBCQELAhoAkCIiCAkGhwEGjQq1WIZnNiEYj6sBAInfuOE/R838FgiAckyQp7UL7/rD8f2OwWuzk7qomKM59gPgBNpdvRqvUMi102jntfUPcmH1DMlvfzuee7pfIDPqCV4+/yvv573N5zOVcm3Atfk7/WHGKH2ETbagUg7eItb6ehkcepTcrC8coD/yTO9EsvVVWwjoLB4/WD7y/aGTQeVZVbYeJ7j4bsU5acjZVEZXsQlhzHhz/GOvUR3nm0NPMKXVlyK6TnB3/EVyWRV3AWCbl/Y1j/ZFE7e5xxJZ8QUD9gYGSiTY/FeUR8wf6uarLcRR66eqR/dgGfTBq25+RhB4iKzZTFvUnChJvHGgfUbERta0Xg3PIwLakY2+jtvYiIaC16lHZTQPnMzYNzrTOJn6AJt80EBT4NR0FwNKtog4vBEEiUNEKAphUrgSZDZQ4qLEoFZQGSMTVgXtXGa6dZRj0njg2P4nNIRyrYxoGt+EYPEaBvQvBkgPmbCSxFkm/ABQCtu5nkehE5XQ/CDpMfc8iCjZGWCSiLDZMCjWHHPW0OkxGp5iEKBZhZDshNokKjQ6boMNLWgSAl+0U7jWFiKIKUSH/Vfip6HVSkWq2065xoFStQ4kjrlaZ/M3KEqp9tDj3lyQzRo3ALoJoB5VdwmIVERAQBAWd7rF0+oaScdujCEolCAoEpULW8znrvaDo3yZJNL/4V7o2boSkYVwdMJcetQ5RUBDn78rCUWHMHOrPsk+PcbRSDmd10ap46KJ4Lk+Vk7TsBgNVCxdibWwi6O23fjvEL0kgiQOFef7d+IP8f2MozKzHZLCQfuOQgW0Wu4Xvz3zP5JDJ6DX68/qEJXkx5vJoDnxVyqLQe7lrzl2sObWGz4s+Z23RWmZHzGbxkMVEu0f/3eNoNjZz8TcXs3jIYpYlLaPr669pXvk8kiTh++gjuPe8j6AZeh7x59d2cii7gSjkH5Sr1/mxh4UNBpBAONaBUq1gzKVR9K2bgOWbLzi+qYTndslhk+JP+jl3VyIqJ9N9FimnnHgFt94z+D54H65XXoWir5mCZ++hzjB6oM3UtufZqXwQjbWXNo8ECobcgNrSzWTr8zSYApHnCYNw7yjFrlCTlyzXAFD0bKLVM5Gq0Bl4teSBVnfBxV4A13Aj2mHdPKjx5Y71cDJiGh5+OkIiKmg95UzNo0+xKNOFOD9nhjR/xyrNO6xxtfCqx7mhhV8+JzPnkdDtxHXdypZxIyj2PQyU81xGCvt39CHV1RHcNQGlThZGE4CigCz2hXaSUjudETUBbI17j2p3CzsMKvzbKkCjx+abREB3G3+zr6GhXIszo7BK+1g5tgibcRiRmjmM1XnilNVGq2oIib0bUbTKD/SvRwusn6DkodZ2nnF3pV0pE9WMmhm41iZgmJ3H2o7VrBz1BPs+OUmAJZzrVslrQofK27h17XGsNpFXFiQzMcaHiWsncXHURWhjZl/wep4Ne08vNStWYNq/n4PDpvJMyDTEfqL8259HMzzYjao2IylP7Rzos3xyFMsmRA5EDokWC7W3LcdcWUXI+++jjYn51fP+2yCK0FwIVVlQmQlVB0HrBrcf/4+c/l9C/oIgrAYuBpolSUrs3+YBrEfOQK8ErpQkqUOQzcBXgdmAEVgsSdJ/5tP+xmGz2sndUUVAtBsB0YMaPvtr92OwGJgTOedn+yZNDqKjsZfj26qY7BPPynEruX347Xxa+Clfl37NpvJNjAscx5LEJaT5pv2qj9PNwQ2loOTLzLeIfWo9AaeacRwxAv9nn0Hj7wfP3QXpN5zTp6bdyNKPsrlCVMpMJIHeQ7aKxb4+LNXVWKqqMO06xl1lFgzeY4mv30LNxJv7j6DGl/yfHZOLoUo+Vr/bQK/oIfmpa9Aeug3B8QA4LKZ8w/fsMywb6DPq8KN09KmxpTtgdA+j0y0SD6qJz32P1pFxnEhehE5op9jbQEiLvNh4fPidSIrBME9RP5eyKFBZDDT6Z6A3N6CyXpj8t6dO5jqffG7IbaHbKQad4Ey69AkI8gPm6SJfwMTplkZcknQMM4ecdwxBHHwY7Ys7jUdBNcPrpnHa5ygLE65Gp1Gy2/l+nKMtWPscae8ax8hq+d6Irx9DWHMyOpueGtdiIjXZbD7TSrNbKlluc9B015BafYhutYI2wZWpWevJTwpEpbmOd79dy9CVD+EUL1cq29qTz5m8VvYOeYDJ+5ZT6adgw1j5vnnGy2NgjB/pp3C8dQ7KKAvvdKxmyZAlXBTzJ0o0X9PZ10GXuYuvs9t5ZmsRYZ6OvHddGpHeshFjV1pB+euu5zOnymi67Tb0jTW8nfwnjiROQuwxo3dQcfCByTiqlTy+6RQfH5LvEZ1ayQ93TyDgrCQtSRRlfamjRwl4YRVOGSN/9bz/Uoh2OTGyMksm/KosWRIdQOkAkZMhbcl/bDj/Ksv/I+AN4JOztv0F+EGSpJWCIPyl///7gVlAdP/fSODt/tf/71GU1UBvl4UpSxLO2b65fDNeOi8y/DN+tq8gCIxbEENXi4m9nxfj6q0lIDqA+0fcz81JN7P+9HrWFq9l6falDPUaypLEJUwOnvyzEUJqhZobK8PG1/AhAAAgAElEQVRJXp+LQmzmh8siuPaRV9Fo3aCpEGx95yR3dfRauP6DLALbmtDbAnBQ2THblHQ8uIL2qjJsjY3ytBYIVzvRNOIxnG2NxMY7QPRFGL47v2KUQ3w8ztOmIplMdG3ajK6pCZW1h14nf1y7ytF4e6CdfAWCrg5p59OU5Puzq3ny4Gew9xIaX0FOhICxTXZJBGvymeb6EjtjllGjHENolJIjYfG47ShHZe8h7fiLHB75+DnjcHEViNj3CuFxZWwUXqFbG4S76fQFr1vGhsOUuitw6nCiNHIkdsFGt2Y7Pzre7jPdzPuBvhS5dFFkvuAhyDg9SIY+XXAyZC9Tiq4jsmkstY5VfFb0Gd52G3ZRyw96M9OaQxGxsyN2NR5Gf0bUyCqfwV1x3NxkwIqK2vZuxig2U6xx5c6AZDIVrdyzQcRBtDE6bh2ZNbdy2u0i9AsW4nvTUrxuuomZNyXy9q17QVBwJnQar03fjV05aDRM7+nlxeA5HLLehsVczbcur5Hik8LyFFnMzUvlQ7OihRu+fo/s/ASmJfjy0pXJOGvPlSaRuDD52+wiPxQ3s+eb3cz96mXUoo1NC+7lqqsvxiG3lo25daxZkk5udSeLVh8d6PfMpYksHHl+/kvLy69g2LIF77vuwnXOzxtS/zKIdln4sPKATPjVB6HvrMxstRMkzJMr20VPB4f/rErov4T8JUnaLwhC2E82XwJM7H//MbAXmfwvAT6R5JXmw4IguAmC4C9JUsO/Yiy/V9htIse3V+EX4UJQ7KDV39HXwf66/SyMW3iO//1CUCoVzLgxka9XHWPrOydlETgfR9y0btycfDOLhixiU/kmPjr1ESv2riDUJZRFQxYxN3LuORFC1sZGGh55lFGZuRQGQ9HNU/jalMWubYt5c+JreB3bjaXeAev+Kiwbn8R0ppKGU6W8ZGijwyOB/KQ/o+psxK71QGnqQpOehiY0FE1oGJrQUB5fXU9wn4rpfxmL/cs62j9cPXgdlBIeM6ahTU7DlH+S1rffAasVp9Gj8H3oQVzeP43BOQyl3Yy9sYGqS2egD1NTkzuMIwljzlZCJtnlO2qTgtnUPJcfH6cT3N5iW+dfqPcaQmjVdibNH01bqY0ehRshlZvYPe1aHA3nXtdhdS+j6izB6+LL8NrbQovNDyQR76EGPGJ72HFyFKGnZYuzV+OAt9pAj6CjyScNn5YCOk470FovX9+HfB0wOZwrzeAkikzrNZOpmk2bdjeXHhx0eKW0OPJ99HGG6aaS1jCGdb4r0SDRqdJiEQUCW0YQ2ZREbsAuKj0KcDMNhkqW+RxCIVhQAS4eJv4SPJXvu8tQi63cccJESrkDPvfeg+fMZHRv3MMWHqZi3B0oXn+O7p27cF+wgJFH3uLIyMc4Ez4Pgz4PkP3o39XUE+KbTM/op8h/4hj1/kWYXQ2sGv8B6h9nTRY1doXAqe6d3DnlEm6fEo3ip8JoF5iANhn6WHe0hnXZ1cScOsTdx9dj9fDC7403eXBYAlvy6/nb8TpmDvHj9d1l7C9pGeh7+IEp+Llqzztmxxdf0Pb++7jNn4/nTTeet/9fArtNzn2pOiATfvVhMP/kZtK6QuxsiJ8jW/rq/558xL/T5+97FqE3Ar797wM5uw4d1PZvO4f8BUG4CbgJICTk/Knx/xpOH26kp8PMxGvOlWzYVrkNm2j7RZfP2dA6qbn4tiQ2rDzGd2/mc9l9qWid5B+jVqXlytgrmRc1j08KP+Hzos958tCTrDq6iqWJS7kq7ir4bjeNzzyDZDTiOGEcJ7Q5pO6pYl6VD321JXSaZ2CQADxh/2oUzs406L0pdAkmedos8BgOpeCaFIvZDGEPr6O7rU+ufKVSUFbYToipGb1LGy0zBv3yPY4KMse6sLC5mt78HLq27kKh1+O+YAHuV12Fg68z1BwlfJQjx07742hsQm0zYSproL3Gg+Mpd2Pvf4DFJOsoyTOh9bSwtm4xCZ2ytovKVMl77e/gaJeYon8ZoaaE1se+RutzGz1eSVREzB0g/gnzPDm1s5jWXm/26+8kOPIHhFezCO3LoSX1fjo84vHy6+F2y23siE7lm9NyFJGjxYw23kqxehwWB1e6NAU4dAx+P2teslMUAgWhCnrCtYxz6GBaTzsHdVo2+u4hpVQirBnemaVg2S6Ba1Tj+F7YwfGgHUwrXUx4exJnPPNQWzX4iCITaqfT5dBCTtA2/AwRZFRfAoCL9xfsijjMhx0uFHmFsks0oDVWcV1nJ9e2ddN1wA9lXCwei64DlYrQsamk7/mS7J75BKx4A9Wnj9P4+OM4AW4t2+n0nsHC3Md4N+NOjjf3oFK7wBUfk72lHpvdzh7fr3hp/PP4Osk/88MVbdS19NLn6IJS28DU4RaZ+C29YOoElwAQBAQEJElCFCUOlrfx2eEqdhY1YbeLPNCSxficjWhTUwl+43VU7u7UdZq4ba0cSbbtVOPAdZ0a78PrV6Wg05w/k+3evZvGp55GP3Eifo88/K8L67RboT5XJvqqLJnsLT3nt3PyhriL5BKmYeNA9dvIK/iPLPhKkiQJgvAPxZRKkvQe8B7IoZ7/loH9RmC3ixzbVolPqDMhCR7n7NtcvpkY9xhiPX5dnOpHuHo7MmtZIt++coLt7xdw8fJklGeJYK3KXsWXRevwMsDQDgn/diMOG16nofi1c45j3JeJXPlW1sX5aeCgwVdPnauWenrR+6roUJfRVB+GWqunpdmIylnkb19tpHH3+SGnPQZP9kx4DUG0I6klRFsfrt12tmosKANtqJPc0TgJ2Ho7Mb39HW5WA45YqTEngaDA6OSP0cmf09HzqQscP3BcnaKD5oI6IJAD1dcQAgiuNqQuFTZdGI52+MHVBo7xzAyppMw0glavcyWpr59fjPbgU1SJd2PR6HA+c4ya4Cl0mBMYkvfBQLvtnovYVDeaEOMgCQlAU5Yz3dEJiFIvb2UcRxyt4qq9di49JLE9VWB4kyPzDxgh04igc+VIqB97/LuItEtcv9+G5CRxIFHB3BMqug5uhQgVFZ4n6KxpJqVuGqL+OG3qHsLr5+La582mhDfw7g1m3qk7AJjo8hZZ2kYQ4DUPN/SCmRuCpnLtwU9wt1tpzHXBZoSgJ59AaCsBYxtMeYT0whE0KVLIzovhousX0LtS1uOJLd3EEe8ZAFxdfCUq7Ytwzdd0mj0pzCqhwDeT64ZfRIakRSrZzsG8Qg7nFeEizSPZqZVDksCGb64msaVtgBx7p3/AqbZUdCYXTtV3MeWlfZxp7cXdUc1NIwK4dNdH2A9ux3XePPyefAKFRoPJYmfMyt3n3Uu3TYpixbSY82cVgCk/n7oVd6MdMoTAl/6KoPonKM9mgfrj8uJsZRbUHAVr74XbugTJ1n38HAjJ+I9F8Pwj+JfF+fe7fbacteB7GpgoSVKDIAj+wF5JkmIFQXi3//0XP233c8f+X4/zLz7UwA8fFzH7z0mEJw1mwZ7pOsPcjXO5J+0eFg1Z9A8ftyirjt2fniYmRkmqfwPWqiosVVUYz5Rjq61FYftpPI2MbzME6j0E1KEhSDUNXL/FTG6UQPvQYGwdHSgMPehN4GwCZ6MC5z4RvUnCwQpZo5/Do72QVs+h+DbnEFX+DZWhs6gNHI9dJU9xlXYzIdU7B0IHJUF+NavVVPuo6HZSgaBCgQoRNQpRhUpU4WxSoRHdkBT/XsvJQehGgQ2TJLvf9D219OiDzmsnSRKePUVou9vkePf+P1GhpLo/q3hfxHrsgpWUMivjTll5OuMSbp6cjqnbQF9JNj0l3xBVZyKgTY6dV4hWFKKNE2NMOFSpiWqQWLRCiaQQiG0eyaTyq9ka9y69mk4uy7+HEu9smpwrmFAhP6atTrl8GrEbi756YJzvu2WQceJrkOyY2tRU7vLBffJQ/IbWyz5pJ2+4twwKvqbvy9v5vO2viEY1I3JWUu/eg7tJQGvWkzV6JQCXedyPX1wgXxVOoM4QR1ncg7zWXsFPAybfbvySYV4H2BK2mV1KK5+U+HLEcBPd9kHXVE7ADxx0biFRu5hrMkKY7qem5c47MOXl4X33CjxvkIMKtuQ3DFTy+hEalYJVlyUxb3jgBb9HS3U1lQuuQuHoSNi6L1B5nV9w6BdhM0NtTn80zgGZ7H+M8nJwBfNPlFU9ImX/ffwcCEg5LxLuv4FfivP/d5L/C0DbWQu+HpIk3ScIwkXAbcjRPiOB1yRJGvFLx/5fJn9RlFj7+GHUDkqufDD9nCnpa8df48OCD9l1+S68HS+sTihJErbmZiyVVViqKrH0E7y1qgpLdQ1lATOoCp1BdNkGQloOogkJQR0agiY0FIXOkbbVHyIZTTRGefDaLDtl+kFLJqBN4tmPRZrcJI48eglPTFkJbeUY30jllugxHLdW489MvrtmJWqlks76Dj5/MpekDAfyD5uJVhcQvPNtADpdIjiecvfAsd06Swit2o5HR/GF3L4A2NQKbBol2l7rOdv3jXkCu/rcH7JReQb/qvcJ6QzjZOJNABwK3cjQhgnoLTKJn/LZS7NzPam103Exn08EpZ7HMKs6ialXEdKsotF/DADu7XnU+qnw7vDAeFYiE4DG3I4kqJAUKiwqFQpJNZjE9E9CkOwIog0kGzaVDbNKQmf7ZbXJ015HsQmgEP2Z5q5gq/EkIXYTs/pMKO1GOoq0YLHhn9SGWm1FIVhRavUoAxPgzC5Weunpaw8luWUxTj117M54iXfr6jhU5IrUOY7iuGsAmB77MTtOL6I4aBdPjtKg0PjzxlED2a0aLh49jEVT0nhvxZFfHOsRJxuFQ59kYsgUXpz8BH2nS6i5ZRn29g4CVj2Py/TpHK/u4KktheRWdw70c9aqcFApePfaNFJDL1zZztbRQdWCq7B3dhL6xRc4RIT/+gW3mmSy/9GNU5stBzYggF8i6P3kWZKxVS4gBOCb2G/hzwWf+N8E4Z+Nfzv5C4LwBfLirhfQBDwGbAS+BEKAKuRQz/b+UM83gJnIoZ5LJEn6RWb/Xyb/kqON7FxdyMybEolMGbSIRElk5tcziXCL4O0pb2NvbR0gdpno+/+qq5FMg2GHglqNOiQEKSSaBvdhBEY4UdjiTVWVndm3JBKe7IMkSXR9+y1Nzz6HZLHgc9eduF97LXZECloLeOjAQ7Q1V/HMx3aczPCXxUraXAUmBk/kSY903Dcu5xLbM7SGnsag2cu00Gk8O/ZZ6k4a2PZuAenBDWTX+JNQuBq/5mNICBwffhdGR1/SclbS6pVMTdgU+tQetDpWExpWxoKhSYgOAdh6jNiPrMOau4O2wvOjHwRXF/IDr6DFJ2Vgm1NPHam5L9HpGkl+0p8B8GnKod0/AJsUgIutCYPSFzFSxHzGik50wKc5B4Nz6ID0Q4D4NO0aE6k5Fhw6jbR4qikY8hyB9YeIKft64FxGrReHM54Y+D+4+nui+zWXblyupE8Nd+6+HZPOmxE5z7I1TcXmDAem5yqYnaPk0Ws0iEo1SlEl/0nyq3+7inmHFRyNVVMcrMbZqCKqQUlUY39yVf8DptHvlwPjDEoTOoUOR6USsc+IDTXCeTb5/w0SdgTOdV+o9QI6Lz2vWTsxWu08OykW25EWGivP9323a1vZoXTGKdiJazJCmTc8kFnfTGJm2Exu7xtD/Yq7UTg5EnT7bAxDxvH0CR31O/fiLfaxzX/YwHHi/Jz5YFEaQe4Xrmgn9vVRvXgJfUVFhKxZg2PK8At/IIsRao/KLpzKA1CXA3aL/PD2GwqhY0HnBr0tcCYTWorkfoGpMtnHzwHPyP/bxfwP4d+e4StJ0lU/s2vKBdpKwK0XaPv/HSRRImdrJR4BToQne2Frbx8g9qpTh5h/rJZUi0jJ/emIvWf5FlUqNEFBaEJDccoYiTo0dCCaRu3vh6BU0nimi5OrjpGfA26+DoCRrW8XcNktkVjfXknP3r3oUlIIePYZNGFhNFcZ+Oq5HFy8dTh6enPDrnoCugUqnl5EW9fHAOyt2cv4mr0QHoLasoub0+ahUafwcs5LOJ4oY8zpmQhiNH3fb4LEm9H2ySud9f5j6HKNJKHkE7oDgaleXLkggbu+XE1s9Wh6CyezoV5BUrKCuNmjMBTn01meBYDTmDF43fpnHFMGyX7PbXvAJhstDg52kg+9RbP3cE7HDt6Gzb5pqMxGjge+zbiKWaAHRbkCrbWCtLxvQVCQk3ofAENPvoN327leR892CUmhQ2PpwaJToTHZEJzs7L8CNJVQr9tJgGkaNSGzqPLRMPHoJiZYJPYST5drBOGVW9FYe5h3CLTSENSWbpx7qml1UmLWDFqHs4MvI6O7moA396JtU/FNimpg/4EoiTUv2clMFNiapiCxSiKhdjtm70f7byA7FZ4FRLQno3T/DidVKdn2Eay5ZTrCh3ImeINCycVBwSypMzN+gyPauDB8brkccdcz2CUVRoUTD3l40KbQohRVzDqlJaFERFSoBqx8L3Ux23wrSHVJIM45neIjg9E11h4Ja083i1ECSmrXnytxLQkSbzr3gc8BVN5beCptNZckyHkmpe2lmI0WIr9vpGDbi9gDhhCTUIBD3vMc/GY/c0uNBHU30+Ibwja/ZBAEpsT58OpVw39W31+y26m/915MeXkEvvrKucRv7oGaI/1unCyoOwaiVSZ7/2Ew8mYIHQNKNVTsg6LN0HFG3h8yGmY+D/EXg+v5LsDfI/7I8P0vojy3hY5GI+n6AkozliN2D6ozqhQCka4CbkNC0Y6aJJN7mEzy6oCAX1248gt3Zf7DI8j8soS604NT5q/fLie2QiDpvvvxXnStnFKPnFUOYGgxMbHlOuqDoD4IQms92Tn3BuZmTsd0VlarVVPOR4dfZEKBxMu5IgHtpeQMn4nesxchMRUArbkds8aF8qh5+LqY8HrraeZ8lMcbU4fzQcN6jrhv55Yrr8KlLohD7+4nc58n2Tu2E1JVQlSwB0Hx7TiufFv+MfYjf08Nom1wtjrv3lEUC5Mp7puCR9sp2j3lzGi1pZmQmiwcLPPo1cuuml7rW8zJOnWO7k9ExUa8204OHE9SgluIkTM+skUn2I18npTEkiPHWTVDTZ2jF3OBmYdPURUk0OU5FYV2CsdSo8l0+JyItvBz5BwApmWf4mi0TOj23gjQDBLk0/tfxt6p4ky1D+vHKc55MEiCQIWfQESDRIOnXJ831PIAqv6Pr+vahZdqPGZFL0nKXKYqj3Gtch98+MLAMfxFO1ON3Xge1qJRQPjLb6Cu2QKqWjbrHXnQ2wuQ77uPvJbj+O7LAOyZqODGyGw2Vi2nzR5CqdcG7rzsWrpqTPAL3hyVYCLGM5MttgQiOoOocxS4PTKAMOer2FbsRmVNNf+PvfMOj+K63v9nZnuRtFr1iiSEQDTRm6nGuOACBvfeW+Ial8RObIO7k9ixQxL3XjAGN7rBNNNEFSBAQr231XZtn5nfH4slZDB2kl8SfxPe59ln95m9c++d2Z1zyznnfRd/BV53AI/Lx7XyM3QCnUdttL/pMxL3RxgQrgVBwDZjFrdpR4MgcPOkXH59TuEP6ugqikLbM8/iWbOWlId/Q+yU8VCx9mj27JZoZI4cAUEFGSNg/C8gZyJkjoLWUjj8FSy7DzzNIGogbwpMvAf6nwvm/w7R9mNxyvj/h/DdrN+SYiRT7sTl8aDN70vy/fejZKZyzrZrOT3vTJ447Yl/uI2EDDOz7hnOkQ2VbPmkDP/ReJ3yvIuoKhEpNFTSf3wayVkmUjK1/OKV0yn520IOfOuLEnABdaWd1JV2ci1RZ18/w0rUibU0ldYxdL8HrQRlGfDZuSoGeLPJrN+NK+xFyJaIMdoon/o4isfIGb8ay9cNUU1fs7mT9za/x6y+sxhm7odt3SuM2vw2nQmDaRhyCUcKLqPReClFvMfg0tVoi6JJSxW72vj2k4pe17h/ZSmHA9MxhbajC/awXZp0Yar69hDgJdgOcHrpQQD2DIuKsqukIDn1a3rVF9EofJ4ylPeTr+ZqN7TF+5hRuYe6JNhVIHDG/qM6saYQ5/X9kI+ckxEjXfh1VuYceACNoibGXU1qWj1NkgFzvYhKgvFlUYutNlYTOerluM3hQgPsOWJBrYVVI483alVpMHMXaCIKs0rvQq30DIR+y1nESpAY9xGnqQ4cd+53uPZAAKFKR82VwxnQtg7b6oeYnpOFfHR/ekL8IF6e+goNcy7mO+/K+elutF1uzo5/nvc6/sblJb9lc0nnD7YhyBHUYpCwYuKQ7Uzyjh7P7AJ5r4NatUCedjAu0U4fq41mpYwUd4h4r4RGF0Et+Imv3ovJ144mEkbOycN/10NcvSk6MD0xezBXjzu5cJH99b/h+OADLFPysQTehmfvAUWKGvKMEXDa3dGZfdbY6ISiZhMc+hI+vzW6l6/Wo+RORx73EOKwCxBM1pO2938dp4z/fwg1+210Nnk547pC0kY/CoqEa/ESfDt2sjtrIG7ZxwV9L/in2lAUBfeyZfDkU4wNSdjm/IbSpqjDMBKSObCxiQMbm4g3uRggfEWWeATdcjvaLIHMq8/kXXcZ8c2FjK2bRTgQXRpU+M+JZmnEwfbJYXz5pZS3vc/Na+LYPtZIrLuO1uR+eLUu7r50BDPL0hDHdCBYwhwqdmPUirx75EUSIjpu3m7myE3RPWwByEgIMaCok5bGFsq9mWzzXcue1wMMPasaa7qZtW8fOu4aD+/2YbEs45DUn3RtD3eRP2QizbaF1pSxmL1NDDr8NgAtKWNwWfIByCl7gDvuUHH/ZxJ5R6M1faLA6dsryc1YSE2/XyJGfMQFM/l0cjIX7E0m3X8OiggPD72eSMoyxml2M7BtJEOan+Zg1gNIqPHE5vGRKYnFI4M8/5ZE0jF5PhqpR4z9lfg4vpRjebFa4qtxQrcQuyaskN0BOe0K0/YrqGSRh5ddTVtKtN+OpAPkl8l0JhTRbq5lWNzXOINmDNjpMqTzTu4fqJBS+FP5dKSQgKbYTFOSwgupW6neuIZXs7PRh00YwjFcnvwASZEs1vzmQxTtSML9p+JNiEVsi8clpXf/Nj8GbdCOWgojmCIYM1JxNkdXiaJKIL2fBTnQhaMzSCBooqFBwKIUETRD6zFUVXHiYdSCxOIR5/NO5kSko4b/mTlDmDMigyanH5snSIcniM0bxOPowNS2g5TOXWTt34W0LYTOEsao2UHpvixy8y9GNuch6VKQA2HkPQ7kZR8it8xD6mxBDkrIkhqZOCQpETkQRgnsBfYSN7eC9Kee+glX/n8Xpyid/wNQFIVPn9lF0B/hysfHIqpEFFmm7cmncHz0Efsmp/P2GSIrL16N+A9GjkQ6Omh5fB7eb77BMGwYaU8/jS4vF3enn/cf6dFwzR5kJdxSTYvdAopMvKecpYN3cofwDVbFzyOqFK7dGaF/mUhYMFPefwYdiWf8YLt7Uz8nzTsUXUSLPmwEQjSrniO+K0K8FzJtCv2bfrz/2txcjNdMZ+/2EDXB3k7OIVMzObChEYAB8a/xUkqIs8p+2f19gu0AebXLKCm6E3XEz8g9f0Ab9nZTJAPodG/S0G8rGw0GLlmlYXR1Al5jMvvzk/EbkomRJ3AyfDXwzzTHVRLvS+HSfQ8TCSzjcE4MQ1qjmgQhwcnqwg8xe8p5/AOpm76muL/AHy8Uu6NCHvpUYmSlwtIxAhZv1OBndIJ4tHxYbaB04I3d9MgjI88xMmUn7zW9SkCfQHNMBWsKXuOLxhbqwwOZF7oVQYxlirqW6aEd2FqT8fisONKNtGksGMIx6CPGf9oJbBAd+OUTR9p8HyaNDX84DpnetA6CHCHOXUO8oxyrowyTv4mNUy9luxOM4QDGSBBjJND9OS7iJS1iJyHiIibiQxOOIEdE5NBPvBZBQaWREbUCYb8KpONtn66gAOO4scRfcgm6/PyfVu/PGP+WUM9/Jf7bjH/tARvL/7KfaVcPYOBpPdqyiqJQ9/R8/O8vpGnqAKb/ZXH3nvxPRXS2v5y2J59E9vtJuvturNdd26seRVH44HfbcNuic9CMbJHUjS9j1/Sjsf8ZhLtUqESJNO8hksrXYuyqwp2vY/dgF5/m6tnQ0IQYEqgsG0yJ6hI6Ewb/YH/6l39EesuWE84eS/prSZ96FsmvLu0+pk5JIfH227HMuRDB14rrDzP4wPa3H6w/pBxCS//oPu5RjCt+nJKiO5FELSP3/AFjwEaXMZUdox9GEVQYfE0sL3iOI1kChW3jmVx9SS9j6Fe7MUSiIjqZjRvoSCois3EDLtW3bB41hwG2iXi1ThYPfR4JLw+uvpUOaw5htUhAKOOM7avYOu461JEU9qWvJ61pKZdv7AlXDaoFDvaBEVW9nz1bLNQmCzQkQYZNJKczl9Kh93Z/HxaDHEjdxIjm3rTe/25oBQ9uVSd1Ujz9lZ4EPo+6itTmwwytLqa2z0xa0sZjDjbj1yQgiTpQZGK8DcQ7yol3lGNxVaOSQz/anqQSUWlktJowokZB1AIxFlTWNDpdAtqyaBLiV6MuYNTYQYzMi0XjLEXVsh2xfSeiGCJCMj5hML42Hb6D1UiuaIy+NicH47ixmMaNwzhmTLck6H8LThn/nxEURWHJ87vxuUJc+cS4Xpm3AO+WvkPdi89z8RaF2PPOI/3ZZ35yVmLEZqPl8cfxrv0GQ1ERac88jS4v74RlpYjMl3/aS0tl9CEQFIl+4i70MU2Ettfjih9Le8oIJFFHl9ZJTVoJ0xPLmac9xOvMJeG1VUTsLuInZJI8SmHx/kvoUPLR+20EDCdOpsmr/oq01m2ERTcfThVptcK9n8vEHvUjl141hoE33ENhWhGiIOJzh/js0WW4AiePbY9xfEtYLCEQd2f3MZUUZHjJn4j11BPUxrJrxAPdwus5R54jq62e184WcSROZ0LdbAoqFuHKPkL/HQ5C/UVaAtOpz5xBWus2mtMngiIjB1dwONvMoPapSEKINiAMXBUAACAASURBVHM9O9L/wuOf5FIy7C4APJFXmbV5P49doWdY24XESRPRBOoZse9tdCEXYY2ZkDaWkCaGkDb6eXe/GNzmGDRyDAneGMxBMxHN/3+SLwX5757xJ7a8hi3tFszuw3hjo6sPXdDB6F3Pog17URBYP3VBd/mk9j044wsIa6L7OZqQm+SOvVgd5VicFWgivuPaKD//aoLJaaw61EiutoUB2nqG6qrpp21GVCv4BR275AKK5UISB5/OVXNms+KwnXeX7eauJc9iQMIzbx6np9QjHv4KpXYLYY9AlzcNnyedrloPkj36P9ekp2McNw7TuLEYx45Fk5JyXH/+m3DK+P+MUH+ok6Uv72PKFf0ZPPn4zMSLvroIrUrLy03T6HjhBWJmzCDjj39A0P5wVquiKLiXr6DtiSeOzvbvwnrddT+6agh0hfnkN2vxBjVY7YexWwvRRHwo/qUUzp7JbXt1TIuJ4TSNiL3Kj4CIGKqioGY7mTEusp/4HYaiImR7A68/cpACYR3xO7azZdTjAGTXf92d6fp96P028mqWkthZiloK8IvbVXRYetYHo+JHM3H7JQTs/1g2b7yjjOH7/kxEpWPPsHvwHtUAqEjcxfbM97j3C5mhtQrLRg3HaL6Jofv/yqCcrbjr9fhtOg4XXEFLejTJy+T4hi6jGXTR7SdJCLA+/xPOqLgWp2Y/Z25dyo7RUW6fvlVfEFEbCGljCGli6Ewc8g/1/6dAG2kjpI4aL1mqQQzVoQl3kRzwEGfzo4n4UId9tCUPpDHr3BPWkdy2i+yGtbSknUZTxqTu4/m1C7G6izmcNgJP0tVHB782nO6DWJKmEZYDdESayNDpEOjtiE1I6sDrjCEY1jN1412IStQRX52iInnQVMzrvsFmERky70ks6RLeIxuxH1xHthzdyvMqenbLBWyXB7JDGUBM3mgaXBGqOnrCnfWRIH/dvoBUVzs5lyagce/H16ajy5VEV5uWiCM6yKiTkjCOHRs19uPGoc387wjT/Kk4Zfx/JlAUhc//uAdPZ4Cr5o9Hpek9Cyu3l3PR0ot4eOzDXD7gcuzvvUfb089gnjKFjJdfQtQdr80bsdlonTcfz5o16IuGkv700+j6/njiSbipiYbb78DR4GTXiPvRyV2MCbzGhuybUVwpdKhlDqaqeO3e07AYNXz5hwdhfQh74lj8xlRUGoG8YckMGBGD4Zu7WVR5J2fMieXIt23UdxhIbS1mYNl7iEYjEVnCL8ZTlz2D1tQT01JbnQcxBlZTbazDGACD7lY8cQNPWPanIqd2BbaEwXhjslFFAkRUaj4a8RQevR2VpHDtWpkZJRo2TvojOfUryVZvIj2pjbo92WwbN7+7nj3pK9BIJoa0Tfmn+nMiiFIIbciNJtyFSgrgjO/hcEqyldCROAxdwMHgQ2/QnjSChqzpDCj7gPTWqN8mqI1l67j5JHfsILnpI/w60IXN2JMv6B68vo9GwyL88hZuWgNVOdOo63MWKiUaxaQR/Fxo/S1JmmomZWcwoGE2w1qiPp74QiNaRaGtrCfkV4ebVPEILnU+zlB0hTZp8/3UZZ9JQ+Y0pm2657j2fZOSuXVMJ087bJzp8+PFwA6pP8VyIcVyIaVKDpkJsVw8Kou5IzJJNGv5oqSZ+z8tIV9oYibFzNy4HcWuoDZGELU6Qs7oAKOKi8M4dmz3Vo42N/d/Up/3O5wy/j8TNJU7+OLFvUy6tICh046fgfxh5x/4sOxD1l28jnh91Jnm+GRRlF1x/DgyFyxANEazGhVFwbNyJa3zn0D2+Ui6687obP8kW0SKJOH99lucHy/Eu3Fj93Hxty+zbquaTMNhygZ/zFZ7AWMqLydWEZEyDYws8GN9NJqXV5oNm4fmMi73Hrqq9AR9ke56xlnL2G6PCoFYOw8y1FzBwLdeYunWt0m4+/dYjyZ9yoKapRMHoBjOITaU80/d058rNCEP2pAbXciFNuhCG/bQnjySgD4qJVlY9j4pbbsQlej9C6tNHBh0E874AtKaVhPRrcAe/yskMRaTez5FhwxsH/NbvJp6hu5/mWwb/PVcEY8Bsr0XkxKYjEwIkeNXSpJUiRT4FHW4CU0EtGHIdYygOm9Wd38ArM5DDK1+A03QhxcjHnMepUN+2asulRTE4qyk82g+xeDS10m2laAAW8Y/RUhnwextJM5VTXvyCCZteQgZem02bSsUeONMkSJTLo2Hz+SQ0gfpmMzh928cw8T8RCKywue7G/l63WpG2ddzlrMEQ4sHR0VPiJBgNGAa02PsdQUFPx9Zxp8BThn/nwm+eHEPjhYfVz85HvX3qGcjcoQZi2cwJHEIL5/em13T+cUXtDz8CIYRw8l65RWUYDA62//6a/RDh5L+9FMnjUyIdHTgXLIEx6JFRJpbQKOBcNQBmb9hPZrUVA5tbmb9B2V0Wb9h5dCtnB/3N5q3tZHVHkEB4kLbGNf0Ll2takxBkAXQZ8Zhj01nR9Ivf7Bti/MIKa1bSLTtw5WYQnJr43FlQhozuweOI5xwLhH550F3+5+E3t9GwNCzFx3vKMdxdEUQ667F6GtFQaQt9YcpsXRBB7m1K1CFu5CFSPQlSnhismhPvQBZ1fs+ZzRtJEcoptNYQJl+NIouBUHomUhkR3bQP7SSRKMDVd8JyDmTWLnBgDuoY9Tu5zH52+nI0XMg54/HXIeNCcWPIQnw4ekiB8fEMXu3njHftOLRaPnLsPPZnDqOLKuBBnt0NbH2vslkxxvYtOIzgqvep39LOao2iYBTA8oxCXCiyK+n3UVDYjZPXzSMc4b05lw6hShOGf+fAZornXz+hz2cdlE+w844Xp9gS9MWblt7Gy9OfZEz+hwfSuleuZKmBx6ESARUKgRRJPHOO0m44foTzvYVRcFXXIxj4Sd41q6FSATj+HFY5l6EY+HHBPbtp8/772EY1sOZsuX9Ykq2dFGev5KX749miTY1eljzURld1R6Mqg4WxTdj1L/JjBKZKaXR/87OkQ8hCyqyxToOG08cIqkKd5HWtoOM5s2YfK1ERFAfzSr2mswsG5mEYL6YJN/JE3n+GegCdmK8jRh9rRj8HWjDXajDXXQkDaMxcxpjdjxJR1IRNblR7YTMxg0UVH7aq45tYx8n1l3LgPKPONLvYlrSjr9eo6+V/uUfd5O9hVVqNLKmm8U0ojZSnXd8DofJ20QMtbh16fg0USKykFKOVvjpdN7/KsSZHEQMRsIqEOyd6DtdyIIRT0z096qy7kIX7KKfbSB+Q082bL+KTxGVCKpzz6UkNptN1Z3oHR3MrlxPlqcVoaiIsmmzeH1nA4+l1JBatgV1dQ2yTUaUIwiCjLEgC9OUGYQ7XbgWLyFu1gWkPfsstZ0+7l64l/2NLi4bncWj5w/EqD2VunQsThn/nwG+erkEW4OHq5+agOYEghMPbXqIzU2bWX/JerSq42e/EbudyilTUY7O2LPfexfTmONnfpLTifOLL3Au/IRQbS1iXByWCy/Ecskl6PJyaX3iSRwffkjaM89guXB2r3NlWeHph1/G4hzE+XcOp8+gni2Bhqfmstl+BfaueJTwYUaXfIrJ38bmtOFE8m9A6z3E+JLXKSm6B3ds7g/SIP8rkdK2E6v9MIcLrzlxAUWmX+US0lu29goxbI/PoLToYVJbt9OaMobkjhLak0eQW7OU0pTV2GIFtKKMWoT44LPYtSX4TR8xMhykq+1p/MbU3s0gsXDoPNwGJyMrFS7eLJPb9r2uEM007k44q11BVe5XmPv50NfdT1eoL5cl3sPBwBR2e6464eWUJW2nOHsZfq0Hiz+Zy0oeIa1lC+/nGOib+yk7dSaSmmdzvm4s3sYf4J0/BnZjA80xtUTEUA/hnKcvTn0H+pBMqlOFpUsNqPEZ1AQNKkQ5q/t8dbgrOsCpjvdN/cM4KgIkIkOXB5VGRJecgEqjih5XCzS7A9Q7/eh0Kor6xGON0aFSC6jUIukF8eSPTP7xdv5L8S8ndjuFk6O1xkXDITvjL+x7QsPvDXlZV7+OWfmzTmj43atW0zp/PgpgHD0aX0kJrfPnk/3WW2iSoyydgX37cCz8BPfKlSjBYDSx69lniD37bER9VNbO8ckiHB9+iPX6648z/ACiKHBg0FLG7Lay7M8iZ98yGGOcjqDDgacNEvxV2FWjEDSF7Br9aPd5AhCOGcymSS/1XNP/J8PfLv4Jr7oKUwAu3yQT0sRgSxxCWf8rjyvbljKatpTRxx03OVbRFX82CCIV/S6muuAsshvXk9a4iccuDzGmrJV4oDV1HCZvE31ql9KePAJtyIsow7Ab/sqq0sfYK3dyy3YjY3Q2JKuHxxKs3GETQO7CZfARF0w6ej9U3PX1RJJavyTVCa0WOJIOBc3R/siCms/OuAxrOJ9YVzUIArU5M0noTGVbgoPCYFRc5r2O13tdhyiFKLMu4ozi7biNsGF8z38pqbON5LadtKSOQjPgNXID7Tg6LmNEx2C8nNjwV5s/4eqv97F6mpO1QwVav7eCFBSFomqFmTsVhtUohFUKvvwQg/q6iImN+ip2yANpbLiIFt1wcmtXkNW0gU3DzEQszwFQrAvTlqzmXPthTlv3affqRxY1yEd1HJSjxySVhq7LrqdPv1zkiIIUkZEiMsE2G87lK5FiE4n0HYWrM0jQF+jupwrIRQUR6DjkoOOYawh0hf+njf/JcMr4/xuwfVklOpOawVNOLDqxpm4NASlwnFRjxOGgdf58PCtXoR80iOx33kZfUEBX8Q4abr+dmrlzscydi3fDRoJlZYhGI3EXzib+ssvQD4g6XhVFwdnuw7VzP/ULlqCafBXBkZdSu7SaYFeEQFeYYFeYwNHXeOd9aCLRwWLVa6XH9OYX8Hfkm4XlJnJaKunQBpEDQYa3HsBp6Udb8kjccSfOPTgWo3c+jTrUzLphYAam7zvK4ql1kmU5SNnRcrHuGtyxJ+dq/3q4D4XFTKyZjYCA1ttMTcYs6lLP5Jb1m8ho/pat46NltY43ePBGPRcfAE3Yw7m7FB76+m5qklX8utOLExUlRomFSQkku/sQ0qUQDH7AkrGl3LrpKsKGaMJbR+qZFFasYme/EO9NF/nzK9FolJDGzOrJN2MN5xOv2sSwvYuwJQzhwJBbcVpHUGg7vv/V1n1syX6Tt/8k0TRVJM6n0JgU3f9OjEh83tBM0+okbNpvaU8ZzZR90XyHEcfU4dE0EROO/v+2ZX/JvvR1/PpTCZ9GoWSAQpyk0KoGk1/heUMeX+yp4sriCEanSMAE66fq+KgogsuowSgbyPdrSNaczs0vrWFA5E3Cg2+hsu8clox1sblvFS+/Mo+m/lcyjr4MLltGbMk36MK9dRnCOhXvTJrJctN4PrQ2ol20kNiP/4Rw6Q2QPwS/J4S7xUnn3goCiSMJq43Q0DOQiaKA2aojxqpHb9HiEeGz8laaQ2EK8iz8+cZR6L8nFn8KPThl/P/F2LR3B00HvejHe1DrThyFsKx6GX1i+zD0GDlB9+qvaZ03D8njIemeu0m48UYETfSPrLLEoc3OJlhWRucrryKazaQ+/jix552HytxbbLFkbQNbl0QzIBl0a/R9cRUAOqManUmD3qhGb9YQl2xkR9M68uhCe5IsUm3QicVVhUoKdu95JySqOO2KIXz1cgmDRosk/PFpKockkPDgR9z36QEycobyxjfPk96yla3j5hPW/nASU7J5LX8+fTgPLm/i3J29vwuG4thhiVIxa32VpBv24qbH+Fvth7Bbe4eInlY7J/pBiG63+M0D2Jn2GhOqRlKXPYO6Pmd1l01y2DBEoslMmwt9zPkWnnsniHmKg+osC05gvyHqrBjcNgpRCtGp38fAugATi1+hOvdc6vqcA8COEbczYeefGF0RNfxeUzolQ2/DJCUQFAM4pMmsn9ojQXksDiVvIds5kIgY4pt+7yGJAq0WyG9RiPMBOpmRXQJt4UF80HwBsXkD8MT09iU1xVawNedzrF4rMyquRJA9rBj4DjWJlaTYFYZVKSyZKHCe38vHsTGMr4lw70KACm4GyE0m/e7rME+fRtKXD3NlyypW6ZL5ImEoomznlj+u7G5Lcn+ONy2VgfaLmV33Feme7SSVvMqO0Q9TJY5mevZyhKwk6rInssqeT0KDh2x/FyM7Ehim0rO7cQiR0dEIIvYB+6rQaAR0vg50IRcZY/Ox5KWgj9PhFGRawiGqvAF2t3s50uaiocLHdzvYWr1IskpBpfn5SSf+nHDK+P+L0blFQNKE+GvkSTauWsK8CfPIjesxVs3eZna07uAXw36BIAhEHA7anngS94oV6AcOJPvtt9H3L0AOBHAtX45z4Sf4S0oQdDp0/foRrKhANJkwjh1znOEHyB8UQ/lH9XTqsjGYVEy7dhBpeXFojerjNE8jcoQXXlzI3B1xpOz7nPakEZQOuglt0EVe8wpCCSl4DPl4FBPtScN7KVZ12iS+erkEgIotNnxphfT/3aPk9kvnwSWlzJ4xhm2Gv+L3/riPqd17BuOAvcMHkdK6hTRXMRpvGEnUsm/I7YR00XjyfRlhAs453Tw4WdWvcbBgEkd3JNAHOnuFMh6L0S23ED6BFkhT3kOkO6MMmatGeJm9XUEMC7g3xrNuahrJgKLq4u5ONx77SBJt+5l6uCdrNb5jGe9O7WRqzVUETP1oTh1Peus2mtInUl7Qozegk/Xdn2WayK0rpa7PWfilNeS1GYFojP6GvI+RxOgFVaap6WvrQ1NGf/zm/ow4kINKUYMInu+NpdqEJZwZs4TJ9VdS5TwXU1cta/PfoiYxmuk6Z5eELMLaYSIlrnhuWSrR76ikgT3ZwNsXmHjtzlW0rPo9+r+OI1GRWWK4jPzZv+XJdasILeiJ6nHrVWQ6HaSXLOXgoBupjrmaSF4KQZ2FoC4asrw065Vo4XpIA4iHhgSZRNmFvvEQVjFA4oQikiaNRNmxAd+rL6IOehCAbXfMY6FZRcWBGurtPuSjv7daFMhLMjEkM465IzIpSDHTLyWGnAQjatWpcM8fwymH778QtkYvnzy5g1Ezc2gdeIDndz5PIBLg9mG3c92g61CLal7f/zov732ZlXNWErv9MK2Pz0Nyu0m643YSbrqJUGMjzk8W4fr8cySXC21ODpbLLsUyezYqi4VAeTn1N9wIgkD2W2+iLyjobl+RZZruuRf32rUEH/gLuw+IhEMSo2fmMvzMbFTq3g+Ire4ILefMQi2DqJUxDe5LzaAb2N9gpSiyiLT6CkL1zegGFmL9xV382bML66oRSEIEVY4fav5xSoJi5RBXl++mI2U0jvgBx33vDDeTKMYREQ0MKP+oW2jkWFSKjeTLmSjIiLKMEt4EutMZVzwPg7+D/fkZBDIG0CVceNy5J8LSgX9hYFUZN6+W6YwBtZDL7hH3syX5a6yhOgqdN1O0/y8k2A+xYpTAzF0KL58vcpvLx2H7bXQmHu9/+A5pzRtxCyv444V+1JKWm7Y/jDEQZFW/33P+vnRcSfd3l7UbWvDqHGQ6+yIS5chBqCcUX4WpJYewvi+SEOFA6kb2ZK5h5pGrSXEVotdXEAz0J715MxWWxbw/Pfqs39EeYdo7MookUpFGt9EHeH6uyK4CkZlxw3mgtJjESCtrhPG4xj6K4FGT9NILBPRWAjpr9F0fj1+fQERj/v4lIkY6aYx3ku6JJh12WEJMOLM/n5e3s6HRzhd3TiQ30UT1ui34X34BfWUZHcnZfDJiFtOLv6LQUQfAnuQCvph+LUn5feiXHENBSgwFKWZyEk1oThn5k+JUtM9/CKtfL6XuYCfXPDUBvUmDzW/jqe1PsbZ+LYXWQuafNp8HNj5AhhzL77am4V6+HN3AQtLmP0G4sRHHwoX4tm8HtZqYM84g/rJLMY4de1zGYrC6mvrrrkcJhch68w0Mg6LL544Ff8G2YAHJDz5Iwg3X0+UKsnlRBZW720nIMDHtqkJScmO766lz1vLks+dy8bRfMqN2EUT8eBpUrKs+hybrBIo6lzH05rOJmTEDQRBYvfVbKt8L883gd6iJPcBzbb+ioiodBR8CJ5bYOxHiU41kSocRNixD722lIREkw2i8lrH4jH8f90pTbAXprr5kNq3nYP8sdJKJFbnPcWlJmCmlMopHjQKUDP1lN1PmjyG79lM6dJtoSS7EorqDkXv+QH3WdFxxfZmw7RHuv1Egza7wwGcybekFdMaOpT1pMLKqt0HsX/4x6S2bu0nubv+Fis5YgQk1FzKkdTI5FS+gCwU4Mui3J+yHnWamlC4jzlWJPD6XvcKl+AUrgrKbJcOW8rLjMId0Gg55zyGxJeoQz6r9EJ13K7+5XkVYLWD2Kbz9oQnFFuWZDmhAFxbwGSwkPLeAqq52qvduJNsr4whl4ZSyUWQ9itB7k0CUgphFB4qmjR1WD8laD5dkFeLNHMonS53kBETiGj7lielgsdQzs/QyjOFYlgxdgNOfQqQrnyzDMBratURkBRSFKc37uKlsJYmeqG6AZ/xUYsaORnh1AYIgkPzA/VguvfRUEtffgVPG/z8Ae0sXH88vZsRZfRg/uzfdwpq6NTy1/Sk6A52MPiJzzzcGNN4gcbNnobZYcH75JVKHDXV6GvGXXIJl7lzUSSdXEgrV11N33XXIHi/Zr79GuK2dprvvJm7WLNKefabXgFGzr4ONHx/B5woy9PQsxl6Qh0anotRWyuXLL2fBtD8zavUK2t9ZQqBTiyoGSiY/jT0Uz+z7hpOaG2Vy3LW6huLPayi/YCntdXu4cM3Z2JJ/WGNWmx2ms91NTKD3Vowq4kNS9wwWYTGES9+BW99OjlOHKP80moeguoUOk5ssexapdb+nKe937Mn4mgsMHzDb28VOWU/MIisKAvuG3tHtGzDaXmPpqEam187/kRaiKDz8HmX9r0DTtYmJu5dw9a9U/O5jifwWkU2TXkASwpjNewlJiYQDPTH6Bl87BvvrDKuMhv00x8NnU4cx0HEzAH6VA4PUQ5Oc0F6MqquZNf3OYXBER1CIMLDma2wJQ/HGZBHnqaawdRFxU3czJyuN61weZjYPZ4PrViSi4ZYTv72HR69SoSaeKQct9G+JJ6KJztrr06yYglbCGksvVlQAVdiLIWDHELCjD9jRB6PvuoCd7AE1pPbt4EjOKK5R2cmJ7cPb537ImoMO7l5YgqjAAy1OFJ2VZdk6ImYVro52rrDH02BuYuWAVxE1Ua7+WFU6Ay2jmJQ5gZkFExEXR7WlARAE4i68EMtFc7EtWEDX1m0Yx44l7ckn0GZlcQo/jlPG/z+ANW8dpHqfjWueGo/BfHz4pqOtnk9vP5tJh6L3X0lOAJuTkCYG67gi4i+7FPPkyX8XpXO4uZm6664nXF8PgL5oKH3ee++EnEBBf4Ttn1dRuqmJmAQ9U6/oT6OlnBfevoXHSwtQlRxGbYyQOMiLJddH4Lb9LP5rE+GgxEW/HkVsgoHVr5dSXlbPxpwPmbNrIk7D35eMlF/5GdmN36AA78y1UpKahMWfjNWfxShHCmHJjBxO/dF6vsN3zt78yiUcSQ8gGq/k06HP8+uufaxJ6cvXioun348gGM6iLuMC+lZ9TkdiEd6YLIr2LaAmswBn4jlYnBU44/tTnLWUoubT0Esnpvk1e+rJblhLWUoFUw+4u8Xd1/f9iPLkYtSSlut2zkOt9F4FGf0HSMuOobnBhF8fHdQlIYLD0EqiLxOzt5FS8wIqhOk8ueErylKyUUb1o93bE547vOUNLEf2kHOGDTFexzPmAZgafoEpfHIGVAAUGQknsV47Zp8drSFEl7+ejDY7xoAdMeTmiCWdDMFLYkfvBIXsK7Iwzbyc9uzxXLbhToKRMNNinuKDLc5e5R7evRgpew4Oo4maYWayks2UrKtnul/LkAtySBsvsbV5K9tatrG7dTcBKcCYSoH7FodxDMvBPO83pCzZguujj0GlwnrdtajiLNgWLECRZZLvvZf4q648tQr4EZwy/v9mONt8fPT4dorOyOa0ufkc2dFKQ5mD7EIrWQOthLdvouXRx5A6e2TxnCY4ctpteENDUGlE4pIMxCYaiEs2EPfde5KRGKsO8ST7nIHycmpmRY1E2rPPYJl9fDz/sWiudLL+/TKcbT4Sw2UUFr+FxiST0rcFS18fogowJsIDldhbfSx5fjcxVh3n/bKId3+z9aR1H4mTWJP0Jaa4vVy3u7ccZUbTRgbULkQJR6/l93NV7CwQUItqHkm8kouKn2CF8WFqqnv2zSUhgkffjsWfzskQ46nrzjzdG/8A+3KDBHQCU3x+rtrTl93iA4TkXZz17btsHWhGZbqXkC4Ws301zuSoP8DiKGfEvijNRkSlwx4/gNLBt/xgm9qgE3XEj8+Uxsr+f6POWgaKwv0rZ+ONP/2k/c2pWYq1YzWbxt+NmiystS8wsraJ316jYkKtnrz2K+hIGnbceaISQhQlIkdJ2bqPCzL6rnZ8R5PPUpqXU57WSdyUIib9aTFqjxPxO9FmAEHBlqKwKVdDxDiZ89NtJH1bgre298Rjz29/z051BmVtdhp0LyDoWvDV3YYc6AlhHpFt4YqxfSh88/d4G33szricvOHJ7EoTeGNzLY/HJRJs8XPJI6OJT40GKISkEPs3fYb+nqdoTdLwm0vDBLRg1pg5XT2Ic792Er/5IKqEBCwXXUTgwAG6tm7FMHIk6U89iTYn56T3938Zp4z/vxnfvHuIil3tXP3keExxOhY+UUxn03fxyQpxrmoSOg+SYD+Etp+RjCuv5zVLCV8d/ppR7ulMUE0n2KzC7z5e6EIUBWIS9MQlGaIDRJKBuGQjcYkGYuJUNN96M76j90rQaMh46SViTp/2g30NlB+h9eUFHKzSUdfnTCKCj/GxbzCqyITQdwqs+jXEZsJ9Uf3bfd80sPnTih+sD2B36rccthjwxy1FEp2Mar+aUVW9/3+WUA1Tx1Sw3FPPpDf3AvDwNSqumPVrXtH6YQAAIABJREFULlr9DLtsBeywR+PVI2oXSwe8RZfWxTX770WOxB3X5smgDblRpFY8hgh6ols95tan6dPSTIpLwZkcy8G+DxLSmFHEaDhtcvtuBh96q1c9VbkX9AoLPRlc2logQlzoeM6lOFUTLilqMNvMtRyOf59zDp6HP3Y4mrCTProSOlxZuGJ+nJ31WLSklBFb8x7n7XAhAE0pgykvvB23/D659cUU1fZ+1iszYFg/B+kJAeqMKmZnpDF/axcDtupQIsdsE8am8dDE2/BoTaTG6SDpQ7o0u/A3XkXEE81rmNY/iTevHd0dQdb8yCN0bdmK5zfvsO3zKtbrwwyclsFDU/uxcP4OYhL0zH1wJCq1SKi+ntrLLkc0GslZ+DFes5ri1mK2NW9je8t2mrxN9G1WuHGDmvy6IOGsZGL6DyJUvAslFIoKFl17zd8tfPS/gFPG/98It83PB49uZ8jUDCZdUkA4KPH6PRsZdpoV9XvP0SFmYE8aitsUzYA1xmrJHmSlz+BEbNY6niyZR527jrn5c7k57xd0NUi01rhpq3Zha/Aiyyf7vRR0AQeW9Dji+yajbFiOpv4QfW6/mvRZ09Eaepx2wZoabAv+gnvFCkSTCesN1/NVkoO64jRSvDn0GWhhygVxxLwzAklR8V7htzj22dE5widpH6SBXbwe9zAAaYY8vCUXcKUjp5uUy+KvYnDKLvZIl+LrgvLEYq5Z/iUmv4uAWcegmwbQUOtglfOh6P2M3cenAz5kqD9M/4oHMYTiGHbwfQ4W3trd5s7EXzHaFg09TOgsPamy2LEQ5DBGvw2jrw1FELEdk2dxIl6f8n6X0pQxGRSZCdt/h9eUQW3OzG6x+x+DxVHei7L5pyLHuAKxvIq4DhcxXXbUUpDtA3PwJT/QXWaSdjPqNQsRjnmeu3RwcMhvkEUNAyrnYbH3GHT5LAc3DksgLxTmnZY2FJeazfsSSW/uvaqsHTEF9y8fID/DSqJZy8PrX2B/1yKC7WcT6pwKwAuXFDFnRO+M7tb583GvXEXCmvU897vNZPkFzru7iNzCBKr3drDy1QOMOLsPo6dYqbvsciSnkz4ff4wur3fCnqIoNHga2Na8jW3NWwlv2MKctV2k28GWpMUcUaN3+NAVDSXjJ9KZ/y/hFL3DvxG7V9UhiDB8RnTboaPeg6JAcoYe/cBUCqZMhNPHM3PxxczVX0O+fxw1+2yUbWtFEAWuy32cJmsZX+z/kG8bv+W343/LtDHRmXs4JNFR56G12hV91bi/tzoQCOqttNmh3WlHMY2DwnGUbgA2bMIQoyEmToWuvQZ1xV6MYQcpV91NxnVzMWntOBedx/JBem71/Y2ag07qDjkxiG8jIONrayMiKuhOIMh4KPEz9mYd4Mq9j7Ej+HX38YnO08nZtRXRKuGy5BOjtDLn4lYMZ77I4fLlbP58D8NaT2f7mCLyq1eS1biBb1ZkUp0e3V45mLmEbZkbeajDg67hPlpDiaTUvEqXrscp2mo6SHKgZ2XTr3IxsqDCYS1EFfEjqXtviWiDTgoqFxNR6fEZk/EZU+gypeIz9HaoN2ZOZdeATIYfacPkb8Poa8N9dCsp3lGOPuhEF3QR421kw8gxaHQn314DftTw58Z9jNczig65HyZvE/lVn5HgKCNtjAPzkCAVX0S3cSRRizv+9F4P7w73QAbG9iXeFU3oa4mH8hw11cmryfHdiDK+HyyPfqc600lhvJ9ft3cxL9HMq3XDOX2HjXRJ6tWf5AfuZ8ANN9DZFeL1TdV8UPolYsoiRO9oQp1TSDBpee2akYzsc7xPRNDqUIJBfv3ZAbbpQ9xnjGX924dJfng0ecOTKDwtjT2r69B+ugBTSwvZ77x9nOEHEASB7NhssmOzuXTApUSmRjh4+z4q3n+DjE82o+/yIQkQ3LefI7POp+XSyWTfehf9kwr/p3n8fwpOzfz/P8JjD/DB77YxcGI6Uy6PPuh719SzdUkl1z8/EWNs1PG7qHwRT2x/gkXnLaIwoRBZkmmrcVNX2kndwU5sDVHi+4DeS03sfhIKDNxx3jWkWHobKEVR8HQGqPt6N9Ufr8GbMQS3mNC9OjDEaDCY1AhN1ag6m1ApEn5dPH5DEkGdBY4x5GrBj0/XToPBhcY9iGzppy+hNxa9T6fUwZzS+2ieVMxNE2ey/rFbGVvsImSIYf+oe4lozMy9PQPL4BFsaNjA3evvZqi5D12tboZUzybZO7RXnd/k/Y22hBoerI6gdVxEtTyBgYfeweKqYOv4p7rLZTaupyVtAtqQG78hiQFlH1DR72Kk8E7atZ8gikkkS/ciq3rnIGhCHgrL3ifBfggBBVkQCegT2T72se4yZk99twLYP4qkjhIiav0JcxdUahuSsQzcE7uPhVR+ulIWcVrLBtK36pCD0d8h6/J4mpd24ZHiODDoZrpMaeTVLKVP/Ro8MVmUDryegD6RPvWreXPSaiozjj7XisBNux8iziEzZtczOIb7Oa2/nbLpbxGvpFL/+P2Ym51IZgMqb49IS/qfXyY4bhKvbazmg+I6IupaTDmvY1XnU3/wKvKTLLxx7SiyrCcO6W1/8U/YXn+dmRc8z2/PLeTCvsksfnYXSVkxzLpvOFIgwke/WkUkEGL23FgSzz+x4tvJIHk8tL76N1zvfYAQ6lmRVqbCx3MSyB4+kfFp4xmfPp5k4/8mv8+pbZ9/E7Z/WcXulXXojGo0OhWiSugWSU/IMCOqBARRoNJVgUSEwcmDUKlEBJWAKEZfgkrA7wnTVO44YRuCKJAzJIHETDOiSkRUCTjeeRvZaSf57rtAo8PW6KG9zoO9+cSEXjYxTJ1awCsqmIlwvlCKLJmpFTLRB388UcuaoMbeGUEdaaE9RsAUimVf+nrGNJzLGUMa4d2/IHk9rB6uQUi8E30kh9n3jiA138r+jv3cuPpGcv1eDFKEGlnLvPI+HAr2JDWJUogxu57BEOigOud86vqcRV71l2Q1rmfP8Hu7nbkAQaEVjZLE2rxnmV7zACafi4AhiaGdf+SXM2u5sT0ebc0jpGiOkCouZXfXZQjq3txCmpAHKbwNl0kghn9eHD3WVd2Lv2jsjvkEdfGUFN15krN6kFbzKOpQJzFdWlKPWdnZEgZzqPBaUGQGHXobo7eWD4ddwLbkGGa0bqTIO46WtPG0mWv5pt97uPWdxPgUfrd0ONXZ1zPkwCtMemwA8qa/0n4kB+f+LtTp6VSZu+hzxNXdzoPXq6hNFZB9eciyBmtMCLdSA0DYNYys2DTOHZxNrN6ITqVDr9KjU0ff9Wo9OpWO8GufE//R58z71dO8ePl4jBoDjXs9bHjnCEOnZdKvcjG1X3zLnpH3029MKjNuGPQP3+9wSwsdf3oJ11df8R3Hg6QSWD7ZyMejA0gqgb5xfRmfHh0IRqWMwqj56Xko/5dxyvj/m9BW46ZsWwuyrCBLMrKscKQ4GiqXW5SIIit0hXzsbS0h29yHFH3K0bIKsqygHPv56HskLBHsivxIyz9/GKROxHAAMehHJUsIiowiqnBaCn78ZL6nB6xIvePSFZn+TR9RntmT9Vt4+F0Cems3N7/Z24AsqAnp4oiof/qDL0ohBh98A13Qyc7RUV/G6RuiqmbR1UICPmMKtoQhUaF3oqLlYW1sr3o0IU83n5EuYMfka+3FQSQokV6JVPpAJ/mVS4h3HkEdCVCTM5PanJmYPfUMOfg6hoCdl655ClN+XxL2r2H2kjdx54V4ZvoEplRdiqCI7MpYzJWrt9GnQ2T7mMfQGYKcPyuJtnmPIrncxA+LIZI4Bs+adQA4U828dFk+Bw1RQj+rkI/BGKKpq77nOgQjCGHC8sl9P+cXy1y9TubqX6kIantWmBNqLmRo61QGHXqLg33LODJwFgVVp1E+Yh2e7KbuQUSn0nUPJN8NLjqVDoPagE6lO/H3lc0If3kXede+7vaUfrkcuGUy3+iq2dO+h6AURC2qKUoq6l4VDEoYhEr873QWnzL+/yH4PSHeemAzE+bkM/zM6PbBgr0LeP3A66y5aM3ftRSVZIkPDn/AW9vfJ9tZyBT5XCJ1eqRINGRPDNrIaNvDkvR81CEH1x5ajUkKowgi7QYrDlM8ekEm3dGGpNbjis3BYe2H25yHIp7c9WPyNpHSvotO66Bu/vl/BqpIAEmtP+F3er+NoC4e5Wf8MIpyGEGRERQJARlBlgkdY+yNvlYkUUdQH3+SWnqjj+9bnD4jIVN2LzGUY2H0tTJq9/OopSAAwTNyGWrZSs3qRHyyiptu0eDTC5iD8cwov4qUrnwSO3aRWbcQf8wIyvtfwbB9fyYtTSBp9hhsr7xBwB6NbqofNJZf5V9IQKXhjIIVbBE28mHsaP6k17KzbRvBxuuZd+YcLh8T/R9LskRQChKQAgQjR9+lIIFIgHe2VaAsXsltO7dR/dFj+Myq7jIx3x4k/O1A3LFZdJy3l64YJ8lrRqF1x1A6bSkerb27rmPrDR695h+FojC8SuHK9TLZRxlSIyKsmKhn+WQDDslz3Ckx2hgmZ07m0XGP/tetCE4Z//8Q6ko7WbZgH7PvG05GQTyyIjPzs5lkx2Tz2pmv/UN11rvreXzb4+xs3cm45PFcoLuddWudpHhkYsJHZ1iyjwT7QczeGgyBRgRBQVGpUdRqBAHSaw511xfon0Z93DhaDKchCYYTtqlTvCS4D2Buq8Pc1czBwusI6q0nnOECxLmqcMVFoy5EfzEhXRKoElErx5c9Fu3eHZxzZCOJTz7H6s9OwG0MtJprSPWenML5WGhCbjIbllHXv4PP+wsIioioiGR0iszYA6lOFYogoogqHJaCEypzfR/Z9V9HzxFEJFGFgEhz+iQgmmimjvjZna9CI4kMbBCxW388+ujYlcGPIamjBKv9MFbHYarTOhlUA/MvFynNiUbqmPwKjyyUEfRnUptzLvqAi8KyDzhUeA1xiXrOvyqDuuuuR/FH9/hDhVquGfA7Zo4u4I6p+cSbZWYsnIT3qL6w0DmXV2b9kgl9E3+0b1urbFz5RjG/pYIJn7/aLRMK4Nu9m/rrb4AhY9iafg06o4aLfz0KvzfMJ0/uICk7hln3Dj+OcBBAVuTjBoRApGdg+O5z92AU8hG7dhdZCzejc0aJ95wZcWy+rojmTONxA4xerWfB6Qu6tbP/W/CzNP6CIJwNvESUJf4NRVGe/aGy/1eN/45lNexaXsNNL05Gq1ezu2031626jqcnPn0cd//fA1mRWXxkMS/sfgFZkblz+J1cMeAK7HvK2ffwApzZY+g05hAJyajUIhkFFrIHJdBncAKWFCPKjjdpmT+P6s5R/D/2zjs8qjJt478zfTKTySSZ9J4QUmmh96Yootiw4dpR17KWde2u61qwr727trVTFJQq0kFKKIGEENJ7MplMMpPp5Zzvj4GECCjuuvtt4b6uXJk5553Tz/O+71Puu37E1XT7jxLEFnwMC6vCVL+W1aaQNq/aYw1JEv7I0KfVr0Lls3MgW4WSc485zgOmvZhyJb71foFP4SYrmM/UXdegCP56Or2zjI9jVDTjUHaz4cCDdEcWog7bh9dVSFBXwvKE97llWZABrfBDrsB3wwRmFkuMrJSwa8Hg7r+9mvSzqUufecL9WdWl/JD8Ns//NZQZ8+fLZPzpM5H9eZdgjR7BpM13IwBOrYQhzos+Vs1q6SGcumML04btfZHI7r6aiYBcQ48ujorUdKSYybilk+M1UnltbMnaiCthPymGKKa+vp8Ms8DnEwTO3p1CWf41uDXR+ARQIaNoz18w2kK03t+PHMlNWd8SSBqJ+spFoA49CyP+Nhqv6GKCy899Z68mLeXnA9/dLh9nvriJMJWczzO76HzgAbJWrUSVloa3poa6y+aiiIoi7dNPMFvg6xf2kjHExJk3FHLwhzbWflTO2POzKDrj15PyFJ1OOt//gM6//jXU2cnlRF97LaZbbzlu5ft/G/7tjL8gCHLgEHA60ATsBC6TJOnA8dr/pxr/b18tocfq4bKHQ3w3j2x9hOW1y1l/8fpfZXrZ5mzj0R8eZVPzJgbHDObRcY8SvX4/rffdj3HejQRmXUl9qYX6fR10d4SmzTq5i4DPj1fev1BK5bOTVf01ceadKKOjEHV+WtV+ShPuRxQEJm99BlGmoDMyk0M51wAgEkT2SxRefgJBJOTHSSP9OeSEr8Ur2cjxl7HK20eI1qlt4atBLxCQ+5CJEjcuF5m6v+9Z/3ySjOUjBAbVS9y9qK/a9eDAS3tH8TX6D7lidQVbxs0/Zr9x7TvIrfisVw5y0Rm3EeFSc9qmZ7Gl+tE3hdGYPI3a9Jm9hWOR1vJ+ZHJHYgdHozFaxsqJF5LVPQWfVElR2Xr2DroEhWRAKdtC+qFWXNo4OkyDeqmtjweNs5rU5p3onK2ofTY6bn2N6p0hjSutq52xOx7lu98+ypyrzyaxaTksmgep4xAv+4I7Vy1nbXeoIntuj5P7o8fApZ/AT6ROSpLEzZ/sZk15O4tvGk9a6Taa77iDjKVLUERGUnfJpYheL+lffI4qOVQTsHdNA1sWVjH2giyGnZ7KqndKqS2xMOfeEcSk/v0MsceD32zG8sordC9aDKKIKiuLxCce76dh/d+If0fjPxZ4RJKkMw5/vx9AkqQnj9f+P9H4S5LE+/dsJm2QielX5uEJeJj65VSmpU7jiQlP/PwGfsF+lh9YzEdrnkNvcXGebiwDPtjQu16m1yM6HDjD4inNvxan/lg1MYO9jsKmRTw4ux67KYwemRfxcPl/tDOROSV3ENHTwrC9L9IYE0lN3iNk6ReTGe2iPvwaDpX+dPDvp1CUc5CbrAnEZKxjdPkg4nrSGLHnZSJsNewrvA6LaQi6xLfI+K4FnzyWymlXQ8vPGwab2kKj8QBBLAypMjPyYAdhbgtyMeTK2JonkBnmxrhPg+aow99fMI/q5ES0fiNl+jbqfB6uMKvpOUEhV/6B94g372LdhMeI7awmv/xD2uNGUJ1xbj+f/5B9r2HsrmTDpBd7l43f+gBqX1+WjVdloDT/OmzGAcTZviNv71L0yU5MY+CLnsdwe5JIaVxLt/A1I6tCM4+10xQcMqQzpXIcLTEnJtUDEMRgbywla1g4Z954FOX0/oVIi69nbVg+t0f7MChNFCUOYGfzFr6rq8Fw9stQdAJtZODL4kbuWbiP+2bm8tvJWfSsW0fTTTeT+uGHmJ9+Gm9tLWkffYR2UJ8LTJIkVr1TSs2eDmbfMQxTsp7PH92OSqvgogdGHlfy9B+F59AhzM89h3PjJpDJiLrqKmJuv61X6vS/Df+ORV5JQONR35uAfk+uIAg3ADcApKb+Y7nW/x/o6fTg7vETlx5ylaxvWo/D72B21uxfvC3R5yPQ0oKvqRl/UxP+5iZ8TU34D3/P7Orikd7WGxAFegVOlCPG0pwyhUPt4Xh8/V8mdZgClVaBnXS25t/FeRUWOgU7hoFyFNVP82qkEpm/mcFlH7C/8EZWT7qc2rRicuuh2nEB1Q6A/oZfaRBwOF2og8ePH/wYuytyuVrmRdkRKpIKi/iWCFs1dWln0mkaxpDYr6iO3MPjF2h47EMHqbt30BA/vd82zLoGYhyRCEJfpyBIQQraRiIIWgiHnSNBQsSpshHlMBNtseDp6MButOB3d6B1W6hI9eBThqPw22lXy4h1pnCu4S3qDTcR17ad9vjQIxpSMqvBHFuEXAwQlCmQ5EZ8KgNbx/wBryadTm0DpQmrmVB7ITVRJfjSy8nrOK3fcR/Kvgj5sKXIVdUs9AxjfNM1IGl7OxQAQSkxI/pc/APe4KItp9GYMo0IMQlvwweofXbaAyIj5pxD3p0fkVv2EQA+pQ5zYRad8kl06vtmGkcH0av39CBJUm8hVHPKLP6qu4VtxoUYBRWfz3oZB0EualrPwtRBXLviPkifAFHHSnDWWZw8srSMsZnR3DAxtP4Ib1XbI4/gq68n+bVX+xl+CBVwTbsyD2uLk9XvlnLxA6OYfnU+S1/ay9ZFVb21Mr8mNAMHkvr22zi3bqX92eewvv8+jrVrSXr5JTQ5v/7+/p3x/zXynwOcKUnSvMPfrwBGS5J06/Ha/yeO/CuL21n9bhkXPzCSmNRwbvn+FiqsFayesxqZ0L+EXgoGCbS39zPoIQMf+hwwm3vzlwFQKlEmJqBKSkaZnIwyKQllchKq5GS2UctjB19C3xjguo2TaI2fSFCmIlVXTrfXhDwygeFnDyR7RGwvQVx3u4vy95ZTt6eN7qgcROQoBA+JKSKWTB9Vxa/ToRvMkPazMRqXMChvPJq8SSHtVL2STx/ZDsC4CwcwaHoiw/42jEhXAnPK7iLcqGWB6RWyLSMZaDnuAOQnMTjjXm6N9zIwMgf/xjhOd1zQu+7rgpeI70mnqOkMVIeVsSSFGSEQS+G+F4jsrmL9ED3rh8aCPAaDx8TMhgj8jnhcmphjgtVy0UlQ1l8NzaCsxu7PorDyXUqz55FV/RV16WehdXdQtOcFFEEPHdGD2T8oRDfhUHWxPfVbqky7mV32OyLdcXw+dD5XVhpRWG8n2lpGVPYGKrrvAGDszodYPnEIEd4LMMjMzIp4io4SOVT3z27ZXyBRaPPT7hvPwdy5KPwuBpW9S4S9tl+7knSB7K4gYbbQvZUAV1g81qg82gaOxSomojzsXlPrFAw9LRV3lJI7Vu/HF/MGSm0977W2MjRhFFz2BfPW30ZtVxUra2pQxuTANStA3jdm9AdF5ryxlbpOFytun0iiMdTptz/1NNYPPgAg/pFHiLz0khPeY2urk4VPFROdpOO83xfxw9fVlKxpZNYtg0kf9PNB5r8XkihiW7oUy6uvETF7NjG3nVwdxn8STrl9/h+wZVEV+9c1cf1Lk2hyNHLlJ7O5KmomF+onHjt6b22FwFG5/IKAIj4eVVLSYcMeMvKq5NBnRWzscUmsPE4/VbvMVO9ro/FAF4gQ176b5LANjM3bBVd9AyknVpfq+uwzmh97EvewKbhiVNRrZtHTHXo+rNo2otyhrA1n/hKuu/5horXRbP+mhuJldQBc8cRYmqjlkm9DL/q7OZ+x44M26iNLWTfgU25peAZ3e59/3Sf3oAr+/HTbpu6gOeIQ6V2DCfP3je7N6fOJl+yMsOayo+fq0EJJBEGGzPE1i0aspT0yZOginBJ/WCEnp7KvaGpvphp9WCSG9njcmhhc2hhaE8f/5LFoXe14lF4kZWg2arLs6+UEUrlL+HDUR5wz8lJmVA9h6wYVMTFv8ll6BaP33EykJ4nROx5HP7SLjaa5uF0Te7cbpt7N3Ijnkfxu9q1Mx2L08sRFcp78W5CYH9X7OXSJ/DDmBhT+SLKrFpLUsgkBuGuenAR9kLdbWjj0Zf8A87ez41g/Rke4+V7UZpFRLWK/9R65h0ZjGWNGDeJskx39dzdA5mQ2T76dm9bfzvy08zhn/csw9SGY3Mcp9NyqCl5dV8Vrc4uYNTihd3l5bmjGEX3jjcTeecdPXlOAql1mVr1TyqApyYy/cAALntqJy+7j0j+O7q2M/0cgSRLmHi/VZgcpUWEnrEz+b8O/o/FXEAr4TgeaCQV850qSVHa89v8Jxj9os4WMeXMz/qZm1uw1EvT6Gd30Ec6GWpT+/i+bPDo6NFpPSu418MH4aH6z9/d0GGBUyjhmZc5iWsq0kwoOm+vtLHiy/zVSR4O3dSWDDjVQPUPFxfe9gU51rM7v0ehe/BWtDz5ImMlD0vkmbFYHT+rPRGvLI76rjzTLrrGgH+knUJ6CyhIICaNfqGaR+X6cgT5rVdg6kQl1cwAQEKnOfJXtBjtTqi8j4bC8X5emHduogwxbE0WXatDPnusRKGz7GZu2kU3docBpmKutl8YYYOGgZ7Hom3i4NJIBazrRuEP3QK4Jcmi8j/tH6vm0pZ36Di1ZK3SIgoz1k18hvW4Z8e3FvVQPHqEeBXEoJM2xBWZHwdhdSZirkdpYP2rFGRjkbcw13Uq5axobem4mt+ITEltDNNhNOUYOJfTFfs5vuZq12QYi9wbIbBb48KIg54d1k0s0ijH3YX71Gzxlfa+HX6HlQN7VdEYXEt+2jS+GL6A22cfKuhZcmyNwNPd3u7nyUnlofDPhmdPYXZ7InZG5SPvCWZW9AYXUQIotlxxnEbhCo/rISD+p3pUkpwa5K7kFVBILvQaE8qVw3XeQVMT2mk4ufWcbc4qSefaiIb376v76a1rvux+A3PIDJ82xs3lhJSVrGjntmnxMyXoWPFlMSl4kZ908+KS34Q+K1He6qO5wUGV2UN3hoNrsoLrDicMbGmCdNSie1y8fflLb+0/Hv53xBxAE4SzgRUKpnu9JknTCKOi/g/EXXS78zc2HDXzLMa4ZsaeveEQUZGyc8Dwp3nKSVTv4zltC4aDpTBh5AarDbhpZ2PEN+s62nTyy9REaekJVlVqFlikpU5iVMYtxSeNQHs4cgdBopqmii90r62k62IVCJSMqUU9cugG7xU17RQsef186W0DuxpiiY8CAJGJSwzGlhGOMC+ufV+1zYbsxg5ZtkWhjYPf95/In83LmT5jPGUkzObRkDRvWHX8k9lX2R5gjDuJsvZiw1PcBEIJybtzxFwDaw6tZnf8iA7uSaVGpOL/0ztB5IOHRbsdkScWpS6Q4eSXGngBFjYUnzZh5PEiIJPZsJmvfMlT+EF9SSaFIxxAve9w6CuslCuql3mIgnzKczeOfYuChL0hq2ci6Ka8B8O6oP5BnHsf4uguIV7xHd89sPNpj3REOZQt6nwmE41+fpOYNaN0duLUxNCdN7rcurX4FWbXfHvMbQatFrtcT6OwEsf8AQkKgLm0mtekz0Tua0dvfJ7+yv/jKq5dHEN7uYM6mIGo/LBkjsHi8DLkUzuW7/0R19G7WD/iMgZED+fLsL+luddNwwEpjuZWWik6CQQGEAE3hNYwalsWE2mcx6buwX72Gs17fhVIusOy2ieiQexzcAAAgAElEQVTUoU7DuXVrSFMaMN18EzG33fZzt6kXwaDIkhf20FHfw5z7RtB0sIvNCyqZPDeHwkn9ExV6PH6qO5yHDXufoa/vdIVkIX8EY5iSyQNjmJoTy7S8WAwa5TFt/hvxb2n8fwn+FcZf8vnwt7b2G737m5rwNYdcM0cLrwAIavVhd0zSYfdMcu/3Hnk0C148wJSrBnJP643IBBmLZy9GKT+5B84T8PB6yet8WPZhb9YNgFFtZEbaDM5KPwtDSzJ7Vzdgru8hzKBiyGkpFE5M6qNtXv800rr52IY9RLPmbA69s5jO8BTcmkRk9MUcFCoZpmQ9MSnhmDTNxFQ8R5R7O85mBc3bYqmPkfj61iG8ccHHodGX30P7EzNY3P4QTkAr9c8ZEJVBasP302SsoEPXwLzKGXR7+kaFXm0tFkWQpJ6TqxQWpCDSCUbaPwetqwWPNg550EtG3XJc4gaUokh6G8gArwLKUwTK0gRc6ZdhPWRgpKqQgrK/Yurc35uZ8+bY2/lN+U3ou0PkbFp3GwMrF+GQH8Affj4NqaFA7kjf1byUP4FxVfPAV8rA2r0cyglRTsgDoYKCH7OMHo0wVzuZtd+gPRyAFkQvpQNj0EQpyfmh+YS/s0QVcCDvakCioPwDoq3HzZg+BtuGzsEVMQmV5c/MzJuMUm9AptOF/vQ6RI0OS1UlzYfqKFYNR+cLGWCNYEOtt/C5mMLD1w1nVH6oItlTUUH93MsRnSFOqaSXXsJwxi8jbHPavHw5fydKlZw59w3nmzdL6ai1oZ2VRK3P12vo2+0/X/Gbn2BgWm4sU3NjGJoSifw4xWP/7Thl/H8CXQsWYHn9DQLt7ceMrJTJyShTQiP10Ig9uTewKjeZTjgVPbClhXV/O4jq8kZernmON057gwlJE47b9qdQ1lnGn7b8iYquCnRKHYXGQbgOKClomoTRE4tk8FIwPZ6J0wajUB5lIHf/DZbeCkPmwnmvgyDg2LSZxhtuoHFiPi8UiqR58hkrn0qwTYW7p3/Gjgw/UVEinTSTsbOYSJ2PQa8+CeFG3D1+2hY/TnV1NE3ef2zq3KPqwqyvIds8EFHR58tvMJbijF/Ig7ua6dqppmTq73EKUYzxvMUG1b3Ete+kPe5HsYvDvv6fgtbVitq2ELmxlEXZag6ZjIhqN9niH2ioDHCtcS1S3RXENbyIyWGgLP9aAMI1xfR4Qu9P3th2dqx7gnO3hVItJQTWTXkVgAFNi9iXci5ujZmFQ55laGMBo5vnkVX9NUktmziQdxUW02C8sg4Gl6/GpzJSmzHrhMer9PWQ0LadATVfHbOuviiIp1tGTk3oGXRpTJQWXo9Dl0hG3TLS61chIKGbOJGwUSMhECDocFC95FMiD5MNetRGto7+M8mOfeQ1LkF0upBcrhMej1dlwBqZizUyD2tUbm/APNzfQVRPFcbGYoy2auSHeX/CZ8xAO3jQUR2KHllYX+ci0+mQ63QE1BoarO7e0XvzoS4S9vRQrxZZqfZyVY8Gu0xiaXSQjDg9WTF6FDKBBquLBquLVpsbUQKdSs6EbBPTcmOZPDCW+Ij/zvTNX4J/x1TPfxsooqJ6i04CbW39smoCFguCRo1MrSGgDUMWFoZMF0bg8MMsnMB1Y66zo9TKeKf+daakTPm7DD9AQXQBn539GR/s+YjN35WRs20SYT4DqrgglUO38p2wiEBbgOwV2czKmMVZGWeR0FoK39wOWdNg9su9hTn6iRMw3fRbeP0Nnh93E39K38Sr5u+ZnjCC88vtWOwF1HlDz4iIEosVIJOarFDq3q7Hjw7HHH8012w4hFvpwKNwUNg+6SfPbV3WpxTGlJL+fRRoBhFBBVNj/8Ibvt+S2j2MSKcWeeJrdMQXYJUyKaz7kMZgLmRCSVoP8R7wy7zY1WbSOgRGFT+JV6HErUtl97DfH3ef7rAE3GG/QySI1fgiQU0TnsYrSA2uJzJtPatdozkdSGtzsGXE2RyZpx0x/HLBxe3M5xZH3yBBPMoNV5V8IWESLB/wCcqgmkLzRXToGrGmH6Ql4R48GhPZlV+i795A5GHC1R0zlxFT8Sx6uwVH+I8qW1USKr/9mPPQJXooGhPPaeE9fPF0qBMK81gYvvs5DubMpTbjHDwFE8nd8xbOTZtw792LYeZMIs47F8t5OfxuwwPM2SxyzvZuErt20xIzkumv3Yo+UoMUDCK63YgOB6LTieh04uy2ULHrYz5t3s4I736a2oxcavuYgDyW9vgLaQ8aaTCOoD5qLDLRT0R3FdFd5URtKUW3evXPlu6JCLgVanQKNQMUatI1WuzxY5GZJvJnZzUROpEK72AecZtxNe5nf4mfBo+AR6EmJ8bIxdmJjCpIZlhBKhrDr1sc9t+M//mR/9EQfb7DLp8mfI2N+Bub8Dc14mtswt/Y2DudPQK5yRSaEaSkoEpJRpkc+r90mZ9mqYlPBzzN1+d9TUp4yt91PC67j31rGynd2IzXFcBmamFjzFek5kbz8LiH0Sq0rKpbxfLa5ZR0hJgMi7x+ZgkGZlyyGKOhv7qSFAzSMG8e7t17sN39NsWbHce7CigE7zG6sCeD5blv0xnWRIQnllnlv6VdX8ey/DeQi0pSunM5vfLqfu21UhduIVQItWHwvYTLutmjUfNcVTp11mtxi6EKVp2zlSElz7B/3EWYFYPRBkIUBF18SKR0BRl1K8ioX9673R3D78MRnoIMPyJKDKZmkgtG0VTRhb2t/8jWp9/HLtNBWsLriLdnM77+fBJa1tGa2CcQ42cjjVERGN2xfDn0KR76LMjgw5KIPbokdo58gEOmbQy0jAldh/zXSGs6h/yeFPYmfM+QlolovB4KD/wVi7aaAW2h7XpVBjoHD+Gg/tJjrmVh2bvEdOxF4Je9nxLQlDSZ6pxLCI/WMGVMENnGb7Cv/g7J7aY9UsaGAthYKJDpPo879rSwIfIyMqjitIdnY4/ScNB6kHJrOeWd5Ry0HuyNPwHMcDiZ3ZFG7iVPELfwXKSM02j4Tk3Pnn0oH36ZDimW6jVlOIRQBbmoEujWBGkK2Gl0WZH7nYQFvOhFH8lqiSSVSJwySLQsSKTkQyf6kLndBJ1Odikm0K7NJr/8XboiC2mNH0PR3hd7qSmOgVJJxoIv0eQeq53wv4pTbp9fAZIkEezuxt/YGOoYmpr7dQz+1lYQRYIyJRsnPE9y03ckujcRmz0IVXLKUR1EqJOQ60+cdWPrcLN3TQPlW1sJBkSyhsVQdEYaplQ9CyoW8MLuFxAlkVuH3srleZcjl8lpbPyBFUuvYZlWSY0cFDIFExIncFbmWUxJmYL2sK850NlJ7fkX4A6Pw3z+Q1Tt7yTolQgKQXoi93KebBG7I5t4xhTJ84lnMGP075HCE+jYWkLJw6/QGZ6Bd8BQHA4VPzdxLIvbTHNEJZawJk7vuJCY5nx8GR7iOivosg/p19atcNBkPMhw+U7yHD669vg5NLCP4z/G8jR1MdPQSX3unvS65dSln8WonU+gd7b0Li+e+iB2qS/V8dK7c7BHGLn2g510R/2etK7CYzqi4yHL8SUtsslIYiuuWBXtcg1LCl/ixbcCJFpDbcwxwygtmAeAJPnQeJ3HsHkGg9VM2v4uap+dnfkm4nqG0BE3BJs+lO10RHEsRl3F2AtG8+2n7ejtDQwrebnXhfJz0Eb78Hu1BByhmUB3RBbl4+/CHxCYdkUeUmI777wyj5F7HBTUS8iAAwl6TOfPpLYqGbc7hRHFf2LROCcrRgiIMoEkfRJ5UXnkReeRG5XL5jI1jo1fMF/5V8TsM7BGDsH70tvY68NYd8HNrEocRnWHkxeWPUFtZBZLCi8hW1KQ5pehOiwSpjZpSMyNJH9YLMkDjcjlAkGrFX9bO97WVmrLa2moqMPe0IzCZsORcQmiIozhe/7CvkE3IQkyRu2cj0L0ooiJQREfjzIuLpQanZKC8ZKL/yc4e04Wp4z/vwCS34+/tZXGXbWsXBVEDH7IbE04YnMrvsbGftlAAPLIyFCHcNTMoScskbJqJTUHehDkArmj4xk2Iw1jXH/3Upuzjce2PcbGpo0MNg3mkWF3kL3wRnBbka5ZxUG5yPLa5SyvXY7ZZUar0DI9dTqzMmcxJmEMvj0l1F95FeHTpxP37PPUlVpYu3YX3holckmBTdOBJ2o3d/iWEqVogZTR7Asbw+4tBxizqYyATOSeuWH4NSmcV/bzOdxHQ21cyZhgBRt6bgdAL5gxmj7ne8aQ0ZmHSgwHSUTr7cStCQUS1d4uvKqIXp++JLoQZGEo/c0oAirGbH8Et15k1TAZs7fK+GHM4/iU4XA4sD3ollx+t2IRYlx/JtV0eyaj6+cQ6TiW8uJ4cCq7+Xj4n/niqb5agc0TzsSnCJH0xee6CV/6NZUDL+tdX56wlcEHdpLcnUVHzFAc+tBszKRqoKmji8kVS9C52jmQeyUdMUMZ98ODdBsHsr9gHrEdeyk48F6/0f+aoQLjyiUkwHxZAaMjp2B+4bXjHq9XZeDgpHvpDBgpSVjH9tSliDKRaJvExDKJSaUiyZ3QrY9j9/CHSGtYTVbtNwQHphP/2KOYhozE7vFT0+Hky+JGPt0emgHcHrGRO71vsmNvNuEHnUQMcvG7YfPRxg5gYJSaOQ9djueiK0i6/VYiPXYC7e20V5hpqnHSapZh8eiRkCET/Ri7K4myHiDKehCdqxUBCAgyHOGRCDFxKFNzKGYqEboAw4fK+W6LgqxBBmZcPwRB+b+RsfOP4JTx/xfig8+W4tygJ+1WH2cXntm7PGizhWYJTY2H3UqhGYO3qYkOh5aGpOl0RhcgD3hIattChngQQ0IkypRkVCkpvS4lZXIycoMBSZJYUbuCp3Y8SY+nm3l2J9fP/hBVel/hUFAMstu8m2U1y1hdv5oeXw9RmijOSD+Dc7aJKN74hLgH7ifqyhBnS23dHu5e8BrZHSNIsmcjIBATYWOguJgBms04VTbuVcZy/UIBRRAeu0zOzJqXAVib9THTqkOZLY6YTtLCUuhqsCNKPx9W8sptRFuWk1PThFsjR8pMo1x7Ye96QfQhyU5c6GOw1dAV76ZJEyTRYkApT++3fmvqEjyqHvwyL365j4DMi1/uJcKvYGDbDNK7jq0t0PTsxtjTQFtif21ev8xLTGc9EfZaIuw17C+8CkkIdc4yvxNR2X9GJwoeZJIGJJEIWw0xlr3kxm2m3TSW8FUbe9sdcR9lVX9NWuN3NCRPp2rABaTVr6LRsIwpJX36ulY9/HmunHsDFqa53FQvjcV/OD8fQegXtxIFORXZF9CaOIWW8Cq+G/gBqXGJ6JV6drUXM7g1had9o/nhQCSd4QMYt+2PKA9nJq3In85bmdPwKvpG0vEGDUNTjFy1/QWMa3ahjJRhyrcTVCTjT5mFc/MWfHV1ocYy2TFJFIJajc+USFNkHs3aTFyqJBTKUOBYVIhEpIYxZHwqA4fEotWH7nn1HjMr3yqlcFISWoOKnd/WMuO6ArJHnhzr6f8yThn/fxFsXhuPP/EeifYB3PHC2T9ZmCKJErX7LOxeVU97rR2tTk5ejoxMfTtCW2M/l1Kwu7vfb2UREaEZQ3IyYs9u1qhbWBOnRp2Sxu0zH2Vo4rH32hf0sal5E8trlrOhaQPegIeHv1aRX+lF/eYzDJg4i+3FbzCv7HViVUZwq0lqz2d4+1AUnnQkRJoNVVSZduGQ7eX+Lx1ofDJ2jnkF6M+znzw8gunWK+jqjmJp16MA6MKKETxpOMTjC5UcgUgQQSYiiKFRXVncFvQeAwMsGfiV+mPaq7w2lGIH1ig5DkFFkk+OJxB/TLu/B+H2epy6OET5P5Y1MqBqIXHmXah9xwZvj8aS8Y8RqVAxYeMDCFKQQ9mX0pw0EdXkDib8+ZHedg4NPHuhnPLU0PP12AIfOVUy6pPl3H+lgnhzgHO3iUwu7Xu32+JGcnDgXOQ6JbGzMmhWiLyy73EUhhI8tXcT4wznN04d4a0bGVnxRb/jOhCTRY0+ljNiZeh7rHgPlB/3+GUaJaIn5KZS5+cRPmUKirh4fJEmSrxK1nfKWN3oxOL0IwgwNMXI1JxYxiUY0Xb6aDrYRWO5Fa8rAALEpISTkh9Fal4UNSUd7FvbxNQrcinf0oK11cWlfxxFeNSpjJ6fwinj/y/C49seR/h8AAOzUrnod8cXBQkGRA7taGfP6nq62lwYTBqGnZ5K7tgEFCdgMQz29PQFoXtjDY34D+7B1+kAsa+TCQrgMemJzsxHk5rWLxitTE5CbjTi9DtZ07CG70uXcOFT25AH4c07B7DPX4dKlPiQeO4PNFGnChngCHcs2ZYisi0jiPDEEBQCtOnLGFG2n9bUI9KJIqcbn8Xsy6XEdS5DwpZw0D0NjczOe4NfYVjAwsP1Ah/b3wEg2rEZfzABe0TWj0/3uJD5LYjK4/O8WAP1FOevpSmigqAQ4Podz6EMLMavCPEAfTj8IRSiigyPHJN1HAPb+4K5u1U+blV/ikvSsNdxbOD114LC70AR8BCUebHpgyS1O5EHvchFH/KgF5dCgZSchM2XisFWQ1LLJmRigLL8a0CQMaB6MSbLPv5yrp9rV7uJs/pYMRI+myzjgS+DFDTAuzNkJGY5yDPmUBc/ll2blvCHhX358D26JPYXXo9XHYndvp86eQvx2lXEdsVQJEumVjsJuyqecT/8sVctrN85xMQgiWJvzUvcgw+i8h1AWfoWirAgcrWcDuVNWD5ajLByA+vr7Kw9aGZXfRdBUSJCe7jQKjeGyQNjidIdO5sTRYmOhh4aD3TScMBKe40dUZSQK2S9qnWjz81k98r6nxR/OYUQThn/fwEqrBX85uuruHrHfMacl8nwM9P7rfd5ApRvaWXvmgYcXV6ik/UUnZHKgKI+grVfhE3Pw/ePIo29jcDgm/E1NuKoq2Zr8VdYqkpJ7lGS2qNG1t0/1iDT6/vFGpzWdrxfL6PNCHddL8ev+IkXSYIYZyrZluFkWYah8/dpAqSyg1lxTwOwsPMZOgIho14Z8QOm5Hf4Vmvg1o234VAlMnz3c4R7Wggf4OLuqeH4/eOYUnPZcXf5S+FRdqLxR5OsW0OTM1R8Vae4nfrsFHIaLyTekYFOWUtx2lc0R1TyVXMbFrmM01KSuH5byIX1Xfb7ZPr8ZNXfcMz2dY5mBEnEqUs4ofylwu8koDxxQF/p60Hr6USUKRD0CtyiDklSEZT/skClLOhFLnqRB0IdiMXgxaMKoPe78Eh+dD4vaa0e5MHQennQiyTIqcy+CACty0z+wQ9R+hwos5IJxOXygziRIUkWCgepsOzai3fBl8h+lHGkTEoi/fPPUMQcnsVtexNW3gtA9bYkmi1RXHlaiN4hP8HA1NxQZe3QFCOKX/is+9wBmg910XjASsX2NnyeYL/1ManhzL5tKBr9Kf//8XDK+P+TIUkSV6+8GmctTN13FbPvGEpKbhQAboePfeua2L++Ca8zQGK2kaIz00jNjzppvpJjUPI5fHUjDLoYzn8r5Fs9CnvNe3l468PU2mo5P3Emv4u/GI3Z1i/W4GtqxNvQgODvLw7fYYB2o4DZ2P9/eyT0aOmtGxAkgauKH0cT6HPFaKRu0sN2ctB9eu+y0+NvplZux77rFszxYxlU+hbZhh8wFThQ6oK8EmnkbaOBNGsBZ1bMQzgcpP1+wEekWBMoakzDpUlHlP/j5F5ehZPTw96jQLueP4YXsDTGxlSni3W6MARJ4MZtoYpek6YYmzcfv3Ry5F9pDd/SmDyDhOA+puUdoPn9YggGUeQN4psLR6DdMPiY45cHvQT0NWQpynFqakhb1YnO3kNDynSqs86nVfsdE/e14NKEs7EwwADbxQCk1y1DEfQS0KqRUBKQtATkakS5ioBcTfBHn0Pff3n2i1Ijxy6KuIJBsnQiQl3l4Q7Eh1z0En3e2Xh0eupsLg51uoi1buFC+fdYitV4tBoab36CMTkxJERrUarlKFVyhF9hhH5oRxvfvXdsBXNsWjipBdGk5EURl2lA/vcMqP4Lccr4/5OxonYF92y8h7tkT+LcEsa8FybhdfkpWdPIgc0tBPwiGUNMFJ2RRnxmxM9v8KdQvRY+uQjSxsHli0BxfKPoDXp5e9/bvLf/PQxqA/ePup/T005nwaEFPLE9RKMkSBJGB8R1w6Mfh0ZUbo2KmrBEEjzNRLn6pxl6lNBuBLNRwB01joB2LgBGGomo2YDDMIROU//gqSQFyKpdTk3mbNLrlvH66StojdQQIXnRi8Fe1xLAefvvIN6RgVNpo4OHuHydiDIAa4apWTEqnnMq7jnmPH8p/UOkvJFsw2JWxZfyhTGMCHcMaV0FjGqZiMIfcitpxS7k/gYCfjnqoLZXj/gIjujtGuy12A0ZKH09BBQaBu9/C0XQQ0CuIajQHGWANdRk/nIdhyPIrFlKlPUAu4fdic7ZStHeF0+YArpgooLdmRLWcOjWgSQT+H2HjpEfuVBGK4n73UUECi7DJzNQ9sVWDjWFUoBNlhKMtmospsF0R4SoNw4o/QxLMhKjVuAoqyDgCRzVwah/8UxFoZKFOoKj/hSqw581oQ6id7lajurw/972qlC7g1vbKFnbSN64BMq3toaOP0VPZ7MTSZRQquUk5USSmh9FSl4UEbHav3+g9R+OU8b/nwiX38U5X59DtCaaqxofpK3aTtqgaCp3hAi2Bo6OY9iMNKISfppN86TQug/ePwsi0+Ca5aD5+Y6k1FLKZcuO71JJlVSovUOo1OwkpWUwr3y1HatXz22XDsSRWI7KLxFjg7guidN6wmm32ontBl1wEG0p1/emXsa3bSfv4Ee9AcrwnnpkQTc2Y/9im0X5DzNNaEImgUcmsFSvI3j4pZSJci7Z+wAR3pABziv/CH9wO2/PlHMoOdTmor33kNnSieh6m1fPMfDkxymUZmXSHpNBXE86CunX0QY+YtQBlN42BCEMn8qA2tsFkoRXE5rVxXTspSPmJGUAf0Q/YbDVIA96kUkizrBYPNoTB8KTm9YS1VWBTxnOwZy5xFj2UVj27nELwAJygc7fnMVtcatB0DM+eRibWzYyrVzOb7/2ElboIG2IBwZfAuNuo7kjjK+e24agNJJRt4wsRzE7M67BozAwdP/zRJ55Oo5161FZO3hu7FWsj8lnbtVa5h5YhYRAUK4iZcFihJh4XDWN1P/uTiLy/ajSowhMewK/pMHnDRLwBvF7g/h9In5vAL8nSMB3eNmP/gI+8ThX4eeh0SnxOI/tFMOjNaQVRDPm/CzU2v8tUoNT9A7/RLy7/13MLjPPT36evZt78Dj9VO/pYNDUZIZMT/n1shG6G+CTOSGDf/mCkzL8b5a8yWt7j80BH2ePoqLlN5QRgy7zBSRvDKMd4UiT7ShWqvjD2v08OleOTymQFubm9Z4OhEi4MS+GlYE8zjlwLZ3aRuzqRrKtE6hMFZAbZtAcNpHUhtUMqFkCgM2Qwa6ivkKtC8seQe6txBjYRou+hKEm/+GZBORYJhDhNZFT/gZtCdM4kDuXb/OtNBtDYiWxgQAxAQF0AsP3SWTuHkuieSXanO10xvj5KCOOMOs0RjWe/Q9farshA4/cyc7U5VRFF/PCe2nsG3wzKl8POmcLbfGhSt4jhr8tsI9EZTfGgBXJZkFrs5Fs8fT62eVBDzIxgChTsnfwrdgN6eTbF7NNnoQ7LgqlwoRCAiQRY3clgsFPl/yw6lWUkyZhKk3J03qPryNmKJumv8pY17fIt61CdhT5nyIoEffhMv6coCL1iZcZPm4Eh7oO8W7Gu6yrXcbkEj1vFWVxzoFFJO75G0kDZ+IceQauchtknEOPJY1gVxnelFmUZJzBuEVfcKRLPV3v5oqZKYwe/zwanqHxlltxbtqEvLWW8PxMZPuaiLDXkj79ArTVr4I1OsQt9QshiRJ+35GO4EincLjTONyRuOx+ti6u6v87JDKGmH70u9Bf9R4zBZMSUSefon84glMj/38ADfYGzltyHmemn8n8ifPZ8FkFYQYVgyYn/7oBKJcV3jsDHO1w7SqIzTthU0mSaOpys7fewrZ9T7OUjcxyOJln8fOJNJFFsXYkXT0BZwZSwIAyooTXp72Dc8szPOyuYPgBuO0bkSVjBA6M9fN2WwcaSeK17NF8bhe57OB9GCJ0nH57Nt+8W4y3VkV11G6yrEVEWncydN+HCEgEZSp2jbgbj9KIxtmMw5iNEOhAHpQIqGMRRD+mzjLizMVE2GrYNupBDPZ6hu17jdZsJfUJ9xKU6fDFP8Wb6Q4kQeCyPQ/RLevkquWv4ArXou9xkznTzG7NKJb4LiPFmXzUdehGEE4scP6PIL71B7KrF7FpwnNAKMCbWfsN+u6tBORyTD2+4/5OArqHZ7Mn/KjCOEGiS1VJUcVukpr3ovL3wJSxvB6fxUDzKOY+PoqbFl3Ene+qEC+8AVt4OrUllt6fy0QfjcZ6Iukmo6Sa7JY9vfTVKBTEPXA/kZddhiAI1LVX0HbpFYj2Hu6fp2JiTDrX1e0nw9HJVjGTNzQTGF0/G43HSkCpQ+l3MmbHo8g0GsIGFeLasQMAbVEREbPPwXDmmciNfdfY8vY7dPzlLwws3on84AJwd8HE4/Ms/Rrobnex4MmdhEdrCAYkvC7/ryb+8t+CU26ffxJu/f5Wdrbt5NvzvyUm7Kfz1/9u+D3wt/OgeRdc8VVIR/UoOL0B9jXZ2NPYxZ6Gbg7WtzLds5rr5CtIkXXQIk9iX8rl7I6cyfdVdqo7HETGlRCI+rx3G5dEDeML6x4UksRUl5usjSqm7YWoSV3E/eYu1ibk8MC6Z7is4gHC5Qbm3DMcg2MXf3u+BfthP7mx+xAxba/y0WSJ8mSB36+9lm7DYIbse52/XnM3sx1qGistLCl4GQmR/LbhZHYVoQ72zWBiLQsprP0eXAIuTSzFRX9A5XMwuOQ5rHoPlXmPE5QqOG1rSKvWq4qgfjRXoEwAACAASURBVNIMGgOTkCQ3amcJgiIbn+b49yKiuwqb8eSopH8OKq8Nn7r/7MsVdDK84hMSzCGeJUETRPTIceoSMccUYY4d1k9sBmCG/wl821owh8PTF8l5zncu8g8X8+z12QyvugPNSAdfdzzAM+8HSX71FcJPOw0xKPLZAxvotkl4hXZEo5IwWzTSYR57udeKqauKCHsNEbYaYvPiSXr2WZQJCXgqKqi96CKasqK55zwbASlAoiOG+7qbqA9z8olyOLPLr0cmhoLd+QfeZ8SfriZ8+nT8LS3Yvl2GbekSfFXVoFSinzyJiHNmo586hbY//hHntu1kb1j/q1zjk0HN3g5WvLmf+EwDHQ0OUvKjOOumQf+zPv4f45Tx/ydgY9NGbvn+Fn4//PdcU3jNP2cnYhAWXA3lS2HO+1DYp1+7qbKD+csPUtFm54h2RaZJx8f+O0n01gAgyRT0xI6k1KbmUI8KryqSwuxMRuRmMbf6rxxy9nHEKyWJV9o7eMQUBaKCVxdGQpcHxYcvcvXOBzhn/y0Y/bGcf0MyMTtuh7pNvNYWohpW+h2cL9yBKamTRdrhtEZeg2xPElnVX5HWuIZVp5v4eIiPC/bfhVJUsWjQ8zjV3QiSwE11gxHbru07ZUQcKhsyqZsovw4fsaS6VtFpW4ov+glMljIGVi2kIeU06tLO7BUlP8KPcwRCwI6kMGD01dGtSu93WXMP/o0YSwnKgBuvUsOW8c/3rpMHvScVyBTEYD9B9B8j1lyMxhTE4kvHpYkDSSSyu5KcyE0MnHsG/rRZLHriB+ReF3nuL7lzWgVOrUCBIpV7n6pBPmkM9QW3UVneTE/6B1z8Thlpn35KWNEwADb+5gKqhPNwRsRx0T2jeOnQsxzYU0pc00yS3ImYZH3ujUGlbxNjCXVI3aYEdFYzSjHIE7MyKRncR9pmdMbSrTNzRYWKxNobsUUMQO/tYOQPfyZ86hTiHnwAVXIykiThLS/HtmQptmXLCFosyAwGRLsdQa0mZ89uBNm/Ltvmh6+r2b2ynugkPZ3NDqZcnkPBxJOj7Phvxynj/yvDF/RxwdILEBB+kUjLL4Ikwcr7YPubcMZ8GHtLv9WLdjVx14ISonQqnp0zmKLUSCJ1KjiwBJqK6TC30tDUCK5OTDIHcQonmkCownR1mJa74mIY73KzJaw/e6dCkvhMnk6mL5qaV3ZTHyXnhxG3EOvI5Jzkt0nxrQTAGYzkg473ABi143HSUg+xozAPzZQ3qFhYT1x7MV+n7GJCSymTSyUWjxNYNSKR88t+j03TgZQ2n7usXXxlfgWHGEOsohJzIPu4lyKh46+kNRRTPPi54+bPy4JeoqzlmDpLcYXF0pA6g8yaJdRkntuvndFXQrdqCHpHI3kHPybc0UR3eDK7h98Pkogi4Cal8l5WjUwgwZBIjjUVmzUPpy7xmH0ejTjzDhS+HuoSR6KUGY7bJqZjD1HWA6RktpM+/33ab7iQllYde4rupFNvZuuIL2j01gHw9L4CMpbvY889N9O1PZ8szR7SVr5L1HXXItPrObjlG0zFtXjURnaNuh+Cfobufg5PWCJtcaPoMA1BlKvQuszEt+8gtXFNv+ygvRkC5SkCq4sEnNq+EbJOlDir2c2cBQqUWgUtl86nsj6Ss/Oq6H7zNQgGMf32RqKuuw6ZKuRakQIBnNu2Y1uyBPs33wCgTEzEcM45RJw7G3Vm5k9eu18Doijxzct7aanqRqVREPAFueTBUcdwYv0v4pTx/5XxXul7vLDrhb9bpOWksOVl+O6PMOYWOHP+cZu8uraS51Yf4tyhiTx/0RAUchk7aq289P0htlR1YtKr+e3kTC4fnYZWJYdgAKe9idmrriJKGcanOfP4atN+pnW8xNS0Pn/5+95wipw9vNDsJ7VmHubYIk6P+AsDtZsA8IkavrI+gSUQerHPb7oGW1UYtqxM9qTeSpi9nXb5C/xtuoggScxbJXLaHlgxKo6m5FkMsBYdcy56oQOjt5aInhqwduMnig7TELqM2ScUaYnp3IQnUEqP8hBdej+zdkq0Js6kNqMv6LsraRUGj4mEngw+KXqEdOsQJtTOIcyvJ73+OwIKLS0J4zHaqmgxRfLRiMeZ6XLzdEcnrcURWGsjWD/xpX77lQV9v7ju4OiZiSAG0blaMWKm1RhNMJCGjnZU9fOJcAdI6xCQB0PkbcVFdxNQaBmz47FjsnsUCQlUZ46jWtkXDEbmo0tbSZluKw2xpTh0EqJMoLBRwcMfe3qb1caF+IGSZH4mutxMFMLJCy+i9b1KxIBA+hdfoEpNRRIlBJmAv62N9iefomfVKlRpacT98Y/oJ/SJ3fubm6mafhra4cORabU4t24FUURTUEDEubMxnHUWCtPxK7R/Dbh7fHw5fyeuHh9iUCI2NZwL7hn+P5/vfyrb51eE2WXmrZK3mJL894u0/Cz2LwwZ/oLzYcbjJ2x267RsBEHg2VUV7Ky1khIVxvZaKya9modm5fUZ/SOQK3izehFmr5Xnp73EJ5URPFKvYsSwOeDZxmy/jN2RCVxDM6hgvO0SNLFFDKhaTFxyMaRD8PQnWbU2hc5A36iqeqKH0qRoNO7LkXt9DDj0Nm/M05JmTSfWkUZrahprDalohDAGWI89j00Ff+KmxZ3EtoaMm0wl4TClIop6uoScY9ovy3me9ogmfHIRQYJvmlrYotVw5aRIrt6i4+j8qp2py5nQNAl953A0fgMuoQSN5SDx7guoTwsR7yl9diRk6F09ZFokrgmqGN/9Iu/WPktn4ZjebZk69uLUJVBY9ld2jnzg5O7lYYT3NJLStA5JJqdHn0KPPpn28AEEA6GZgpM4nGkvIfoOUpdykKFVjegdjSQPcFJuTscSPYi9f8zh07rFvPR+BB1DzqYiMgeNrX9Q+90RD+AX9UQpM1BLYwm46lEpuqlIdnHx/QpOLwly/XKJjHb44IUgkWeMxnTn3chMGdRfdTUBh4+0jz5ElZoK0FuYpYyPJ/mlF3Fs2kzb44/ROG8e4WeeSdx996KMj8dbE3I1xt5xO2EjR+I3m7EvX45t6VLa5z9J+9PPoBs/johzZhN+2nRk2l+uF/FT0IarOOOGQr56bjdIYK7vYee3tYw59+ToQ/4XcWrk/wtx/6b7WVW3iiXnLiHF8PeJtPwkajfC3y6AlFHwm8Wg/OlU0R21Vi5+64e+45uZy5Vj0/sb/cOo7Krk4m8uZvaA2cxKuJ2572wjM2cDrSznd2lnc8P613EPncsc936iaoczpuFcUvTfMnjnCjx2Lap3PqR4R5COfVYSjZ/T0h3iwnl31N1csevPqINhqLw2ZKK/V+BcJIg1rJWg3MqZTTtRVbSwL6MdR9wzyMUwlNpStua8wiExnCxLLlmufGJ7CpGC/d0nB2M3UxG/Breqi+4fednGudz0eDL/j73zDo+q2t7/50yfZJLMpPcKCZBGCEWK9CZVEFREsaNYsGHvYgN7ATsWRKRIR0CK9CQQTAIJIaT33iZTMvX8/hgM5oJ6Ve79Pd+r7/PMH9lzzj77zDlZe+2113pfTmsbuT3jF/F7ewN+sQ+S74xHV/Y4ytYPGXLyJIIA2kgTZ6NnkWs/v0rwbjlN35PLMPsqwa6BTjg26CkcggLBaQdBuKCgLO7savwas5E4beg9ImjVxVIePuE3JSUHHnsR35FxPNjjJFqvHvg6oglOH4DCeeGzVgidWEVX+4Hob+lfloS7oxcIEuo1ZZz1O06Buo2Y+mGMau6NJKaW9uiNHDGUUIYr1BNptZFgljJEl8iEpCuRhw2h6umlGPbuveB6oR8sx2PUqAvafwmnxULzZ5/R/NHHIJXid/fdiE4HjW+8Sc+0o8h03fUMLIWFtG/dRvvWrdhra5G4ueExbhye06biftllCNI/p9F8MeQeqOLA6rOAqxj9yof6EdzjP5P19X8B/4R9LhGyGrKYt2MetyfezsJ+Cy/9BerzYMVE8AyBW3aAWverh/5reEciQEOHhcmJQbx9bV/k/7LcFUWRm3fdTFFbESvGrOe6j3IRPI/Q6bWe0cHTmeZ3E6M2DaBMLuFJ+VSGlcyjwjuTXTGb0BTeyGvff0Jp5Hhag8dSocuiXdlBYt2FUo12WvBqLyOgqYy0nhV8n9qC2Dyfa9oP87BsDU15GhrytBwY9jyi1FUsZRScqESQIsEhsSB1nt9wzQs4QmboDgbZ6rmjyYmHqGBKpCvkcmWHAR+Hg53u7tRL1EwouJWwdlcarCDm46FX0j/rDZo1Ck6mvk5E+Q9E1uzAO1yPIIikey6gWtMf38Z0mvxdq7i+Oe/i3VqACBwZ/BJW5YWGw68xiw6PcNSmBkbql3K0rx/lVSYmZYr4zR7G65HXM/2dB6nS9UTtFkZ5xBW/+hz18SXskq7nluFz0f4US+VRI1nBe6jSFjDpRAhqycgLxiC1tbO+7wrqPMqJqR7B4MA6aqRlOMom0qduFGkR69AEpHO5VyyXR00kz9afuzZVoJJJ+fq2QaRGuN4rc24e5XPnIlrOk7jprpuDz513Ivf3/9Ux/wxrVRX1L76EYf/+rrbeZy7O+AkgOp2YMjNp37KFjp27cBoMyPz88JwyxbU/EBf3l7N0RFFk75f5FKS75NI8vFVc8/TAv11x18/4x/hfAjicDuZsn0NzZzNbr9yKm/wSbya1V8Gn4wARbtsDXqEXPey3YvqfHCzhpe/zSY3Q8fSUPrSarDR1WGg0WMhs2s1x43L8LddTXJKAzCMXVcgqpIYYbq3TsFC2hQ5BYKH7KPoV34VV1c6RXgKV0tcJ6IhgdOFslM5fn4zkVj1W06t8dIURpVXknm1OBhWI7A7vR8god66yrEEUodkeyerGl5BIuv9+PVWHUEk6KO3sj8HpT4X2NGkRm2l1c/0TjzOYGW+wsjckiRPNZXgZIcqk5cnyYqwWNXs0i9DLY0GQIO+sQWl3oupsISn3I9fv1v9xFFY9fU+6it6cKjkHBy5F1ZGOd8e3VIX+fjHSZRnPkT7oOaJKt1IVMYaA+uP09jrOjSNrefcDMz4qJdlvbqLyyWcYXfkTnw+9ntsPu9JSNX0jaclrJq/3jbR6/3qdxs9wCHY6ZXrcbd7d2pWdrVhUOpw4qPEqotT7JKXeJ/GSGxjuFkl44U0YqryYdFcSkYnnY+xrj1fyyHcn8VTJWHPHYHoHuVZWTR9+SOPb3fc0ALyumonfPfcgDwr63bF27NtH1V2uhASv6dPwf/jh343vOy0WDD/up33LFgwHD4LdjrJnTzynTcVr6lTkgX+elttmdfDdkhM0V7vqHeIGBTL25j5/ur//y/jH+F8CrC1Yy+L0xSwdvpQron7dk/tTMLe5PH59Ndy8AwITLjjkl0YfINhLxZjeARgsdpoMFho7XJ9m40UKjCRmNDFvIBd9aC26A4m6Ek34J8Sg5JuKM6hFESfwqCaVkJKHkTuVOLWFdHb64dbZ3esMqj1KuO4UTQGpFLe73il3QwlBZe/w5I0iFoXLcwsw3sWikibCtq/BGB5Jbs9R4AzH7PTp6iu6ZDNeqnqygs+zZ8qddTSI25DZsolxBmGulqC1tqG1GPE0iSi789Bhl6rISboLvWck4aVf0aEdhF2mplOpw6c5j95nvwHgTOwcykP6sbn3o8yx6enZPJDTLXeT33MJNVI1Y85cfCU39OjjZPZ7BJ+20/Q68w3pA55GZjeh94omqe0bdCePcDAJRmVDwJxwvq/1JHV/LvrIUDzLqgDo7KWgKNFEwjqX97lirASTRz/6tP4bKcKik5iSzTQEx9OhjiU56xkWz/EgtCOZ2KYUNBZXTUNAtCcxff0J6+PNvq/yaas3MWNRP/zCzqd8fpVWxjOb8/DzULL+zsFoD++h5tHH8Jw6leAlr2LKyKDm8Sew19V1neM5dSp+9y1EEXpxZwRc3nZBcl9EqxXkciQqFX733YduzrX/VkjH3tqKfscO9Fu2Ys7OBkHAbeBAvKZNw2PCeKSaC3Ucfg/tjSbWvpyJ1ex6YcbfFk/P/n8/8Zd/jP9fRLulnSkbp9BD24MVE1Zc2gISu8UV46/MgOu/g+gRFxxy8Gwj81Ycu6BdIZPgp1Hi53H+46tRsv1kDcWNRnw1StbccRlfF77NhqJ13Bb9Dt/vPkBb5Aa8HRZW1tTjfU5p6aG4AWiP3YK32eVxGRQtONSlBDlNmDoup13ZSHv0C9y10YS5QUne6DnU2V2qYQPTH+fZuUYq/QWClUk8l7KYI/tb8czLBEsINsENicNKqCyHSuIRRTcMUc/RXONgYMVU6gMGdt3TyAP3IhGdOGVSmuUa2hQabJ5a/KIh3XyadncBs1qkyV3ApHQjuekutJ2hGJ2fMyIzi+K4B3EoJOjVYUi9dzDQcxWH6oJJOJnK2di5bO61mFptEzdmvoTarsGiqENpPe9lejauxuw1BZvCZTTDfY1UNLkTUb+fmPx1nO51Qxe9QxRfE7Xftd/iEWbGMsyOabsbMn13g/f09VKsMljyhYs8r04L990pZUaaiijjfRg1fywn/WTwIUr1KTx70yB6+2goyWqkJLuRxgoXfbfaQ465wxXvv/GVoWh058NoP68Ox3WW8+DuD3Drn0r4Jx8jKM5nL5mOH6f26WfOK3IBHuPG4f/QgygiIy8Yj72xkcLLhxPwxBO4DxtG/YuLMR5NQ9mnN0HPPIO677/JfwRYKypo37KV9q1bsJVXICiVaEaPwmvaNDTDhv0h6cayk01sX34SAKWbjGue+vuJv/xj/P8iXkp/ibVn17J2ylrivC/MPvnTcDrhu1shbwPM/BSSZl/0sHaTje9za/FQyfD9hbH3UMp+dSL68mgZz27JY3BvM3m8wGTtIEbl5PBmcAdmiYSva+pwADs17izTuSpVQ9vi6NMpMJA8Jlhqkdl0rDd+CA4rtpAneDdA5I5aPZetcydjwPsAKKx68j2eJKO3P9OFu2g+qSXUIUGCgJukBZOikSOdHjx0/C0kTiXpA58hQvUTFmUdFR2TkYrQZC3CrmkiyHo5Jb6Z3HbrTO7bWMXZBiMAH94h5ZGDjzA6fDRvjHgDS9Fuvt+4kDO1T6E1B9DrzKeE1OeSHSXQ2vtlNM4OOjpDyAn7jvdtX6MAymp6sl2yFIW1CZPSs4sErsqrAJO8g9im/iQNbUVYvoqc5HsIr/gBdYAvZ1X9EEXQSqpI2fcK1cHDORt7DQCRBc8RXdsIwIMLvBhyUs+sI67/pzOhUtqjLAw6JKP12QloVMnIH1/KwT4CyVWR7BgyCC/rIJTO7imjemUzhaEbqFFYmZrfvbbjYtAGuDHjoX64eSrQN5kpyXZNBLVF7V3HJIwIIe6yQAIiPBEkAiu+2k3S0kfQe3jTd9MavAMuHqIxZ2dT+/wLWPLPx/HdRwwn4OGHUfY4XyltTM+g4qabCF/xGe5DhiCKIh07d1L/yqvYGxrQzp6F34MPXrAR/FsQRRFzVjYNb76BOfMEAFIfHyK+XokyKurf7idjSwmZ35cBEBKrZfr9KZeEWvr/Cv4x/n8BBS0FXL3taq6OvZonL3vy0na+60lIex/GPg/D/pgQ+r+DLw+f4ePc25Ao2llXXc1dAYEUKqWMCxtFVU0m+Y7uQi87K6sJsTtgwO1Yesxg4/tF6O0+zPR+Ah95OQ/5+7Lb3Y3Jp2YQZhjZdV6LqgHvTtcGYaPEQQ9VOuPUm1gpprBRdSVPhPzEhMK32Fr+CDVeg7rOK/I5QXrEVjoUbYg2D+ZWP4FXvZqjgQJHzCYAlsx1Y0n2QyT6JvL2qLfJOvERHxzcyMjie5EIvsTnfUJBYD6bL5NQFSBjbuYzRIqNNNh7srfHSq615BPekkJh5zD0ju7x6w0Jb9LgUU5cXRKjSm8l9afXyet9ExalnVmxhTR/+i22hBAO+brSOn2aThFcd5RTCXcA51cpAOtTgpmVVQNAw6gJKL3TCC5uxJit5NppLxJuqGNBcRH5MYNQOf0RnFZ6uKXTQ3oA24/1oJKz6KpoBlRdhY85GEW4jbFTUvnxyzys7QYiy3dSHDPjos956sJkQnt5d1O0MumtHPimgJLsxq42d62SiJ5uqNe/g6KlmPmD7iQ0LpJVtw3CXfnrG6Lm3DzqX3zRFZI5B7dBgwh44nFUcXG0rFpF/eIX6XFgP/KA86EVh8FI07JltHz1FVKNBr9FD6G96qpfrf51tLdjzsnBnJ3t+uScxGl0OQBSHx/cUlMJfPqp8yIy/wacTpFt7+dQedqVYzx4Zgz9xkf82+f/X8c/xv9P4ucMmeK2YrbN2IaX8i9y8f8S6R+4KngHzocrlnaJpFwSWAzw01es/WkZizUS7ql3slrjT7P7eUKwpE4Lw8xmvtBqUSFhjao3gTYrVGXi6DSyrfUpaqzxTNG9SJgyh3Ue7rzg60Ns4wBGF13f7XJlMjtFcid1SiubIz/Fv+4Aq+xj8NV5Mda6F6mlnUzDLDIMcwEXx060fg33T6/HrBKwtSexqN8TpIYEseXNLDxtsMrDQko/G+nWpwCI1cUi5hYw9ZgHeN5Lp1KHxricvL5DyFPtodKzHocgMP/YC0gc3Z+TgJNAZT61lnic0ibcO2zgMPP1wLe5r8iArGgiZRFXE1B/nPqAAWyKf4c6j2Ju3ONkdK43aZe9gF5RhdbsmuB+LvAavf9Cz3xlr/HU9vHjc8Vr7Mnuj6iPoj55BO1mV2inQ3YWd+sxRh7JoucLs1ENuxJTuYHSG2/kaG+B96bKeEyzBFOau0vL9lfgHeyOIBFoqTYgiqB0lxHex4eIBB/C+3ij9nCN8efUR6WbjOBoDeUnG3FK5ChVEvR+Sra1tBESp+PTWwaglP12fL6zoID6V17FlJ7e1aZOTkai9cJ84idijx+76Eq0s+AsdYtfwJx5AnVyMoHPPoOyVy+sJSWYs7MxZWdjzsrGWlzsOkEiQdkrDre+fVH37Ys6JQV5aOifDreaDa4CMEOLBYlUYNaj/fEL/3uwe/5T5PUnsatsFyfqT/D0ZU9fWsOftwl2Pg69psDEVy+d4Tc0QMZHcPxTWqx63gkPo6dTR7MphFb/k/S22JhgNDJBE0Nwn+ncZ8zD0nCC98d/QkBAf3Kq2tmSVYltfykBVg1jvN4lQJnD4IhQDOe8tZimFBCtILiMS0BdOm2Do1l/3xT0K2aiq8sAYK5sL3RAsy2cIx33UWl1cdIMvS6K3d+9RfLJGl7+EpbOkjJmwGRifP2Y+/kxAoM6mVSjYqbFwkbjEpCJpBSLTE8/TVSDNz+lLMSm1DDF4wUUU8YTd2IjjxkLuVVIxasttZvhN0tsHIvcwAL7PtrEAfi2l9Kkn4LZDeIKVrHsAwegJre3K/OoPmAAdarD1HmWAAJfjZWg7XR910OfQ3T2Mc7EXUeb7uKhP31wMNNm6gg8vY9dbQ9S4j8IZ6ACuaOes7pt3Ph9Biummnnkjq8wTb2BliwTwVf1oUx2mjXDJcw54CR21CyCE/qRV1VNdUHbBdcI9yymQh9DvwkRxA0KpNNoozK/hfLcZirymik8Xg8C+Ed4EpHgQ0S8D8ljwsjZW4lb9m4uP7YG4fG3qen0oexkM1eZlVh/MvJ6xVFmTetJVJIvCtXFzYIqLo6ILz7HUlxMw9LXMBw4gDnHxRkkCwz8VeOsiosl7IMPqH/xRdo3b6F05lXdvpd6eaHu2xevqVNdxj4xAYn7JdC/OAe1RsHE+YlseP0ETrvI7hV5XP3EgF/VzP674B/P/1dgspmYtmka3ipvVk9ejfQ3SLz+EMqPwldXQnAKzNsE8ktQ6dhc7AofZa0ChwU8gnnax4utGPmuuoYom5Na7xQ+qY+nLWICr958BZ+f/pjl2cu5pdf9ONqGsfVkDeXNJoZb5AwyywjqbSQg4Rh3Vm3qdqnRWSI3HPQlY+AzAETU7CCuejtR42qRqVwhELtbAFa7GxmNE8g3j0XE9duFj3byqu1V9PZ67sk3MuB7D5wSG+9eqeCY1xDcvIqxSWvw7whnWt5CLJIyEk+9R2SDgzofHwrjFyJI1UzVPU+AvJBmeyRFnUMp6hxCuyMYJ04knA8pHA8spSLsDTQyNwbXqciQRTGu0JVhc/nhRcjtZgC+nXwt/sbLkdva0cYuItfdSYQwhK8YgLqtnKmVU0nJfhtdWyEiAj+OfB+FtZ1hJ54Fiw0RMGhCae3Vj2rPQZidWpRCB0GdxQToc3lodjGaymZe/8xBy1O3MvT6RdQ++xztGzfit3MTE76/lsiWeK4sGEKHNAynRI7aU0FrYDnynHR01mT0Xi4qDbndiFugN3K1nKufGNDN4IpOkcbKDspzmynPbaa+TA9id5GTyxLMpN4zGQCH3UnlmRZWbyhAWtuJuygglUkI660jOsWPqCS/36Qmt5aV0fDmW3T88AMA2jnX4nvbbciCg7GWlWHOPhfCycrCUljo4qv6F/gsuBO/e+/9rxDB5R2qZv+qAgASR4Yy/NrY//g1/3/jH8//T+DTU59Sb6rntRGvXTrD33AGVl8L2nCYs/qvG/7qE3DkHTi9BX7B+5JlbWKTIGN8m5Idyru4/Z67CfEKpM/xSh7dcJJjy5fRof0EtWUQ72wMQCIUMbSHL7cE+WE43EDvIUF84/8GGVUZ3S4X0iRy+z6B+vjz71J6bysxRU5q0rSEjWjBISjIbhjGT8arcIhyEtx2Udg5BKManjI+j92uQ9dyOSr/LXxxTzCTVpbx6BoLK0cfoGHKZdSXpxB/ZitRJV9TGXUzLYFXI/beToN0IRJRyVCPFZRZBrKp/XEcDh0CDkIUufR138z8mAbmZj2LqLAjWGVIA5bRKJPSiIXSQAtxVVVd484P7aT9inn0/3oj/kZX1lICq3m/fT4fmd7ie5lIdOgQ4tUjoLIV2bmJwqpw5ceHl+/i0GQJ4cfHUhcwEKMmBMFpJ0KWiUqdT+JjH2Gcv4oi6mixRiOruwAAIABJREFUtPKzH5t4TuZSNXMOeYeq2fH8Tm4UXkSCFIefnNDiQwRZiim4ZQhf5L/N2gw7Int4Z8brJLWqscncaW+yABaqz7YRGnd+E1WQCPhHeOIf4cmAyVGYDVaX8Pn6I1Q53HFKFaTnqjl+z376T4ogIsGXiD4+PNJnCPd/m8VPP9Uz009HU7WBslPNCJICgntqiUnxIyrZr1vWEIAiMpLQd9/BUlhI1cL7aFv9LW2rv+12jMTDA3VyMh7jx6NO6Ys6KQmphwfmvDzqnn+B5g8+xJx5gsBnnkbZ8+LEfpcKfYYFU1eq58zRWk7tr3KtjBJ8fv/E/1H8JeMvCMJs4DmgNzBQFMXMX3z3OHAr4AAWiqK461z7ROAdQAp8Koriq39lDP8JVOor+SLvC6ZETyHFP+XSdKqvdSlxyVSulE43798/52IQRSjaC0fehrJD3b+TqbDHjOEFoQ6pycqPHY+x6N4xKL3U1Os76bDYQd6I3uMrnOYQfKxzuHtaDJMSgzBVGNi+7CR+sWoecFyLs767lJ7WpODtdXoEpQc5gQEoXbaQcq2N7aNFJu1Rc6JiJnluEzE4/YhSpjPEYyUHxH50mrTsDv0Ep8SJTNpBe+AhXkeHj2jk8OwIFu6t4Ma9Tth7lE45qGyQH5qJl8SPNu8ptDEMzg1nn/5eBBwEKc+g9VpPe6KSM+3HWCeATeoK+Tht4JB00iY1ouuIxKCuZuYRJ8PO+pKXAHYMPNb/MYbVV3P5UAmc4zt7V5JKcPIE3OpWc42vnWsG6ck/UMQ+YvHw1oMBOjSufPeinlcjtsyiOEaCZ3sJOvc0EnZtJKxvNXeGPcQanRunGqop9msFpPTy6YVZWcvpIoGa109QW9wOsXPw6KwnI2ofj8y5mx49QzCfUFM2bx6dr6Qz5abhwH4E4N57hhHnq+Hj+w50PZPNb2Vxx3sjkMkv7pyoNQr8Sg/i2PIsqbNm0TnrXnZ8mIvD7iRjSykZW0pReyqIiPfm7t7BvGNx8F5BAw+Pj+XqHoEUZzVQktXIwW/PcvDbswREeRLd15ewQAeKitOYs7IxZWdhKTgLDscF11fFxxO8dAnKmAv5ddTx8UR+u5q2detpfPNNSmbMxHvePPzuvuuShnx+CUEQGHFtLE2VHTRVGtj7VT5znh7YtT/yd8Nf9fxzgZnAR79sFAShD3AtEA8EA3sEQfh5jbUMGAdUAccFQdgiiuLpvziOS4qlmUuRS+Q8kPrApemwU+8y/OZWl/au7k9kGzhskLvB5ek35J1vV2ggdgL0ngY9xvJN0QaKMl/DUncD716Zyo9nGtmSU01GaQui0Imux9c4BDnGqhvwjnTn6v5hGOpM7Po4F4fOyKvah3FKuht+oX0M9x1oQGzLInREFcOkZzlOKgDTjS18HBuHp3kGNnkE3vImNMPceeVsG8ZAd+ZkX02bRxFluly0DgeDza0MNncy2NyJ0WajIOgmzmi+6rqWygafT4GFKiVZ+iDaf1GzZncrodPrELm+p8jX2LEgghVUSgE/WShyk4umQCrKEGWtXFfZg29qRvDs6c8JboV9A12cNVa1wJGe+wkq+Y4N1iUAeOjLeObkl+RKjiANKoXWUijchdU0FYilXJeA0S2mK8cfILo1DZ/GdFTN5WQbRaq9ndSX6+h1u8CJukxkLS3oowIYUjeEVMM40gaLkAteQZ0URB+hs/UA92+oxjN1DD1jXZNKVYwn60comP2jhdRXT3VdKyHENbHddLsXm5Ye69p3+OjeA0xakEhkku8FMfeO/fupe/553IdfTtBzzyLIZFz79EA2vHYCmUJK/0mR1Ba1UZrTxJm0OhIlEOHuzsEtJWjGi8yb1pOBE0KoO3ySorQKKkpbSSvVkwa4G9rwbzcS5heB/+0jcE/pizo5GalWi62hgZYVn9O6Zg0lU6biecVEfO68E1Vs9zCLIJGgu+ZqPMaPo+GNN2hZsQL99u0EPP4YHhMm/EcEWWQKKVfckcjal49j1lvZt/LM31b85ZLE/AVB2A8s+tnzP+f1I4riK+f+3oVrhQDwnCiKEy523K/hvxnzP1x9mAV7FvBA6gPcknDL75/we7BbXYa//AhctxZ6jPlj59vMcOILSFsG7ZWuNrUO4iZDn2kQNaKL/K3B1MDE9VMwd4RjrrwJmUSC3SkS7evOlKRA8hzvcaLxCJ+M/4TKmiAWrctheLCOYRV2miwNbEx8C5NC3+3yN1pGMCotDbc0Ez69OvDv28G+9rvJN4/tdpxR3kZ06WYia7N56CYHLZ4CAyomkVo9gY2huymxR+Ld6c7n4wSEtPfp0XSWijOe2MqVOAWBQ/ECzdpQkmv60uSXgll1YTXm6r4v4lTUE+EejVrdF/9WA7dXfcVB2wSe75xLqP865pydB0CTWxnJ9TuIO5FLnRZWjHenf+NLyEQ54OR2/7kUy6azr8ZFTtdLvpuoY+uwGmSEDm1BE2yh5YqNrP78/PV/Scv8c5pn+IrPMKal0fzZZ9QldxKQpWTpNWHIJMkMK0ru0gLwC1TgeWQNofOGsMjtS/QWPSqJgqfeayQ8MI6Y9d/R3NnMdduvw2m38+Ymf+TZrs1UVWIiUevWdo2j9MabOWYfSJPH+Y3nsD7eDJvdE+8gl9dsPpVL+bx5KKOiiFj5VTdvuuJ0M9veP0lYb28m3+UKQ9WXdVCe20RpVh0tda5JVGE34NN8Cp/GU3i3FqAO9Yeky2j070dNpw91NVYQwdNPTUxfP6JT/AiI9OzKo7e3tNDy+Re0rlqF02TCY9w4fBfciarPxakWTFlZ1L2wGEt+Pu5DhxLw1JN/KKf/j6A8t5lty3JA5H9a/OX/R8w/BEj/xd9V59oAKv+lfRAXgSAI84H5AOHn6GX/07A5bCw5toQIzwiu733975/wexBF2HIPlB6AKz/444Yf4NgnLnpnTSAMuA16T4WIYSA9/+g6bQ72FzTw8IFHEN1sdNZNI9hLzdTkYKYmBxMf7MlHJz/iWPZBHh3wKAMCBzAgELA6yV2Vg94p8H3CR90M/1ijieebmlHpv6Ek0x9JhB+TYp/kKtthYmyR3YaYH76bI4G78I+y8soXDu7fBK/P9qF/zSg0ylMUGYYhxcGS4RYqNq4k9nQ9pTX+mOWwb2AoZWH9CDb0w7vTj4owJ1KHa3PSiYWiXs/Rw2pDXvYMt+XeTLFHNivF0fjSzi7lo3TIwyhLeojFwb5sOLGra0wxNQZ65OSycbBARTJYrP2QNchx916PsWUW5ZZUDjdMwau9GL1XFG5qM+GjmzmTO4ojJQE0Cf1p+4Xh71nwGcH1p8hPno9B5o1EdLpYKYcMQeYpoeTb3TRILqPksj4MqPdFxIncVkydYj27E07RT6Lj3spC3s7dhyFFx/2p97M4fTGG6cOxrdiP/sQx7mt4l9bOVj4et4KNezZyNS7jL1F2j7X7L7iD+Fvmkzd5KQanO/0nRXJsWylrFh8jcVQoffvKqbnzTmQ6HWEffXhBGCW8jw8j5sSyf1UBPy5LI9mjEEd2Nj7Z2XjV12NReNLgm0RlQD+aggZQGzAYiQSCemgJT/AhNt6Hy4LdMXfYKM1xFZXl7Kska3cF7l4Kos5NBME9tfg/9CA+t95Cy1craVm5ko7du9GMHInvXQtQJyV1G5dbSgpR69bS+s1qGt99l9Jp0/G+7VZ858+/5BTQEQk+DJgUyfHtZRxeV0hIrO5vJ/7yu8ZfEIQ9wMVYlp4URXHzpR+SC6Iofgx8DC7P/z91nV/i6/yvKdOXsXzMchR/UKzjotj7PJxcA6Ofgr7X/bk+Um9yUT4EJMIvMiJsDidHiprYklPDD3n1mKVncIvIxto4hi9vuIJhPXy7in4OVB5gefZypkZPZW5vV6690WwiZ+MefOyhbO/9QReBGsDLjU1MMZhIF/phzXDgJzdxY+yteLifReOw0Wg/X915JO5bAlM0pFr7kSHN4KMrJNy/2ckjGZOpVYLG/QivS3aS1FSA/lUpQQ0yKn1jyBzRD4cyBU+rP3FNTmq8Cun02UGI2I615g7cLQ2k/PQO19RV45fUQa32VTa3PE+CLYGdw07T8+zHSDpN+Mz/gefPCdqfzTi/dFcrnDx2s5TyAIFNVTWsaOtPq7oOjW4ftMzih/ZFSEQHca37OeYVQ633teyqDaYitB9OUYKmowKDVyUBUeHUV7YQVvsTANaIeDRN5Ui0OsQbH+bgmrOUHG3EmPoIOB34qdoIy/uG9QNzeWB/O5e/+yo9Qy5jw973ABBEsNgtLE5fDMDI+c9Tu34qR95+gpPjGnhr5FtsTBdIyD/vO5kyMxFFsSs04TZoEJrkBJJPvEnAV+vQhXoROzCA9C0l5OyrJP8HIzGeyQx574FuBVG2+oauAir37GwiDFGcYQz2omPEiGdx69+/K68+LjqGOpODcJ2a+hJ9VwZR2oZi0jYUo9EpCT+XSjrh9gREp0jZqWZKshs5c7SW3APVKN1lRCX5Ep3iT9iCu/C++SZaV62i5fMvKLv6GtyHDsX3rgW4paZ2jVGQyfCedwOeV0ykfulrNH/wIfotWwl48kk8Rv821fQfxYDJUdSXdVCR18zuFXl/O/GX3zX+oiiO/b1jLoJq4Jdk96Hn2viN9v+vaDQ18mHOh4wIHcHloZf/9Q6PfQKH34LUm+HyRX++H5UnBCUDrmrF42UtbD1Zw/en6mgxWvFQyRgZp2OfYTOizYctNzxNr4DzGQyl7aU8dugxenn34pnBzyAIAkerj7J2+RF6tqeyp8dX1HgVAS7e9+X1DYTZHazt8z753+zj6sZ0Xh8fTkDEXgZVTkbSObLb8J4ZvZCPW1eQUZuB1OJDVq9GdlWHIlcMQCH5gXJ9Ngk/SWmzxlAamkJtn37I8ccNJ22KRnLUubykfB0/STuVpiQ2tj6LRtbI1T6P09Supfm0B2Z1f0Kj9jPC8yN+1N9D48GT9PJscA1g+yLE4FRaDpYy6pCV/HMRBUNQOeUBLmP5kK434yp7cCL8ew5FhTPtXC2RtrWAsqS5oIfaMhPuij4ke+6i5+AYTG8uxXBCyfbRdyKTuDbnnYKMtjYRZOEciH8M23unkMogTJqLYG8lJX0PpyaFE1ZdwIxjrhRJv5AeDAqSsUXyIQADAvpzxPFT1+9399GHSE2wMTathodvuR3RmMihnVuY01yK/8MP0/DaawC0rVmD7lpXiEoQBHzvWkDl7fMh7QeYPRu1h4IRV0XivWM5p5zJ5EdcReNXNaQEnMC9+Bjm7GxsNa4KZEGhQBUfT/9hWkSLkyJhFj3vSCSkb/fK2ahzjnBwTy3BPbUMnhGDobWTirwWys/VFJw+VINEKhDcU0tEgg+DpkUz9uY+VOa1nKOacO0nyJVSIhJ8iE6dQfjsORg3rad5xeeUz70et4EDXZPAoEFdE5zMz4+Q15ainTWLusUvUHXXXWhGjerSEb4UECQC427pw9qXj/8txV/+UzH/eOAbYCCuDd+9QE9AAM4CY3AZ/ePAdaIo5l2k2y78N2L+Txx6gp1lO9k0fRPhnn8xzJS/FdbcALET4Zqvu4Vo/ihEUeRUdTtbc2rYdrKW2vZOVHIJY3sHMC05mBFxfly75iWK7OuYH/sy9w6e2nWuwWrguu+vo62zjTVT1uDr5svde+7Gme5LSs1Y0sO3kh2yB4CbOpVE1nqhdctjd/hgKk7V8vR37exJDaMxaDYBhhgU8mr6h+VwtGQSLVIj3g531iS/TKtbPQB9LBZOK5RMz72LsNYQEvM+pUXXm+qgFOwKf5w4qZRbEOU1vKB5gSzCGSLJBWCXeTol+hvQSSuZFvIebhMfguTraF2zhrrFi1FobIR+vILjOQpy0oyM8lxGH7e9mFtk1B33orNVQV58KvV+rn2arLCNmHx3UaiQ06dmIgMrJxN6h4O30l5n9slHL/id+44LZ3BSBZJVMyB+Bs6cTfyQ1YdGz1vQe0UTWJdBXeD5CKV/QyZJ984kqvwJjKVHGNn5Bisz3qdQ3oxdJiGp1LVp7tzwEfNzHie8Xc4zb9cTvHQJDyo3c6zuGLcn3s4npz7Bt13k/Q8cpI8I4t3Y4dx3uIwhJTlEb9tK8dhxgMtgR367uiteLooiZbOvxtHeTsyO73G0tlI4egzYXHUHDSGDKQyfglWpJagth8SAerxTeuHWty/KPn26NHjtVgeb3sqiucrAjEX98I+4uAbxxeCwO6ktbqcit5nyvGZaalxUDB4+KiLiXWmUQT28qC/Tu8jncpow661IZAJhvb2JitfiXXQQw5efYG9sRJ2Sgu9dC3AfNqx7/YLVSsvKlTQuW+7SEV5wJ9633NJ1D38VjRUdfLf0BE6H839O/OU/FvMXBGEG8B7gB2wXBCFbFMUJoijmCYKwFjgN2IG7RVF0nDvnHmAXrlTPFb9n+P8byG7IZmvJVm5LvO2vG/6KDPjuNghJhVkr/rThL6zvYGtODVtyaihrNiGXCoyI9eOxK3oxtndAFxfL+4eOUWjdRKTboG6G3yk6efLwk1ToK/h43MforXrGfzeePnVDGV4zlryAI2QHuwz/UJ8kcgRYqczBIfjh2VjOS3vcyEy6BYlHChHGDpI9P0acmspJxwAoAb1nCd6tidikrnQcD4cTX73Ig7ljMKnisMshq+/9CKKDSvdarIGdRCfFMDFSS3TVZtSH9QzBZfj3m6dQ0n49PvJypo2rRDV+P6hc2S262VehOPYU1fvklN1yD0kD6mlVLuKAfj7O0nakudVIVSIhQ1rYGCHDq9Z1/3qFkVeamrkzwJ/EWpfoTNt6B7Obzxv+pKBG/CYMZ+8X+cQOCEASGg3aCKz5P5ImDmdP0nCiWl3FVU0+CbjJbZhscsaOUeB8+nNCWzQoynaxxH49Wn8PtiRZuOoHqLp2KJS60nDvzHwED3ctS4Y/j/HtmyhuLeIYx3hs4GMk+ibyZd6XOPzdaRjgQVJ6Gdr49fQ76yBnYACFRdvpAQQ8/hjNKz6n6oEHiPruOyQqFZbCQqRaLZ25uZxJSOz27qiTkujVtweJiWrOtPtwMr0vTUjoHxRJcnwYEvn50IZMIWXSgiTWL8lk+7KTXPVoKp4+/158XSqTEBqnIzROx5CretDR0tkVHjqTUUfuwWqkMgnBsVoi4n2YMSYMs8HmmgiyGik/1YwghBB05VsEOSux//A55tvno0pMxHfBAjSjRiIIAoJCgc+tt+I5aRL1r7xK49vv0L5pMwFPP4Vm6NDfH+jvwC/cg+FzYvlx5Rn2fH6aa576e4i//O0rfC+pSEtTIXw2zpWNc+tucP9jgtVGi50v08rYkl3DmboOJAIMjvFhWnIwE+ID0bp193ROlLdww7YFyN2L2HHVNoI9zhOXfZjzIcuyl7Go/yJqmgv4pnQrES3xTCi4jQrdaXbFfYYouLxTAYF4mSdDGivY0TaP1IpwgqXhOCUCbf57OBaymxK1K487sjmJiWdvpcAvg7jGQURG3kFsh42y0hlUyAd3yTe2KAtpl2dyw65sdNPGEf7SyxgtdrZvWcvVeQu6xlloHsru9gfw92hk6sJUlGFxLprrmixXhtTeFwCwGqRUHfLGopehCFVzKPQxrIKK0QE5ROrWUaCGlw2jGFJ+peueQt4mzG7jdOttaKz/wibpNIBEw8ThNZi9enFgq55rnhpIY0UHJXvTqaxW4+D8b+1urGVA5stU9ZlGkd845i6Ko3bKWAJGuGMMaGOM9XWuGHeYY2d38vFyEZ/pM2lfvx6Ah1+J4dPxn+LdbKV4/AS2zIlkdx8bn034jBt33Ihapuabyd/w/deH6Pf6o5j8fHFrbOLNhaG0ttayeKWDHTf1Zqg5BM81rslacHNDNJkueH9UffoQ8c0qJKrutMXtjSYOryui7GQTXn5qhs3uSUSiTzfvuqXGyHevnUCjUzLz4dS/bPwcNic1RW2U5zVTkdtMa51rvJ5+6i7aCYVaRkVeM8VZjbTWulYNPp42vEsP41N0AF2kL7533onHuLHdKoB/1hG2lVd00xH+q/jx6zOcPlxD3GWBjL3pf0P85R9it9/AurPreCHtBZZcvoRJ0ZP+fEcd9fDZWFdq5q0/gHf0H+5iVUY5T27MJSVcy/TkYCYlBeHvcXH+8YaOTq74+EOsvp+xIHEhd/W7veu7A5UHuHffvSR7RJDdUQaAnyGcaXn30KquZ0v8e9ilVmb0mEGUVxReplZqjrzDaeNUourH4mbzxL09k+jSLbx/bTPuChXBDj1bPN1IrB3B0LKZ1LsVEWDqwTdeVSyuTyNfdZ6Oujz0awQMSPvPxHPNYqanOSmf/wA1hjRucW7oOq7APIK97QsJDHYyZbYCRV2ay+BXHQd7Z/cb7jcP68FVFG9zpYCa1H6cGPYsDkUL+3ou5oxapH/lRPpXXVxoZ3/vzSSVDSTYoaXfj89zdMhLxLvtpszSH6Pz/CStkbdhkZdiM7mK+4JrDhHXdhChoYbCmJlUh43kjmVjKBzYH8/AJl5Nnst2Nx3qsJWEeYTxQUY8xl27ETpd6ZLa71YSFN8fa2UlxePGs2yyhAG3PMKW4i3UGmr5etLX6Du8mbX8CJ+lvY9/XRnyiHB8brmVutdfgw7DhTcjlRL86iuoU1JoeOMNOnbsBKBXXu5viqdUnG7m8NpCWutMhMf7MGx2D3SB5zOBKs+0sO3dHELitEy+J/mSbn7qm8yuVUFeM9VnWrHbnEjlEkJidUQk+ODpq6K52kBJViMN5S62WY21Ed+a44Som4m8ZRZekyZ23d/FdIS9593wh/j+/xV2m4MNr/1EY0XH/4z4yz/G/1fws0hLtFc0X0z84s8Xelg64PNJ0FwEN21zhXz+BJbvL2LpzgLOLJ6I6leqNsGV6XPtJwcpkD1DqNaLrTM2IJe6Xvqy+hzm/HAzBqet63iPTh9m5D6AXWJlY8JbhAUEoVPqONN6hnZLOyFtsQwpvxIfUwgWdTFa31UkdZxBs1WL2tfK3ulyPvBWgUTGzR1PY8v1pClYgX+1hXfCjhKo3cWsU3cjJwBEJ9e0zePkPesZffkQXtn/CbEvvUnPWogd14DKy8VUedo0lh/1CwjRlDFZ8yxyDC7R88BEiBjq+ijcYOUMxGEP0b52NfUZ4HRIwe5ahZzq0Zv60AWY1NX4a37C1Hhl1z07lWXsjtjHyMIbSUgNotjehjPbiodpFf1yjrFx1MN4d57fOOzn/h0xqjRKHNFk6G8FwUZq0UZCvS3Iw0LRb9nKvkGP4+4QGBFRgHDkO0x2gckjniU4fhmdDiOrJq+iJesYurvPl63obriBwCefwFJZScm48aya6U3TqETSa9NZPmY5iT4DmPzuYRxOkVXNuzBv3XLB897ZTyBwykyunvY41Q8+gCktncg13+Ls7KT8xpvAZkMeEU7Mjh2/y5HjcDg59WMVx7eVYrc6SRoTxoBJkSjOefqnj9Tw48oz9BkWzMi5f11T92Kw2xzUnG3rmgzaG1zl4toANyLiffAOdqfTaKP8VBO1RW2ICKjMjQRaS4kdH0/M3IlIFK733VpZ6dIRPnAAZc8eBD7zDG4DBvzpsembzax9+TiI/E+Iv/zD7fMrWJa9DL1VzxODnvjzL7nDBmtvdImvz/n2Txt+ALPVgSCAUvbb/8Avbc/nlHEjSt9WFg97w2X4q05gPPYh17Uf7WLgBFDa3JicfwcSp4Tv4z/ErOigrN2CXCfncvUkdJmBuBsi0UjrGeL1Gj1URxFsgAr2D08m4McKigolJE4fyIvDnifr6yZOCA3UtFegk2hRh65FpYwGTQUYAkCQUFYYS9DLL/P00Dm0mcrwGmUieL0beWm+pIypJ886kYMd8wlX/MQVsXuQRd3mMvbhg7pi/QBsvhuLWUPda5swlUNrDx/ev0LCKU0rY856MDnNg0akaMzhmMzd92pWJn6Ib8MIlKIUTYg7bG+kQlHDDQeOUjOxL8eidjBcOoKwsgBsJjMp7pvYb3+a4rZYGj3Pcm3xB0grbAS8sY6G119HHhKCOjSG1qoSOr/7DgCLTIbSfyt6WyvPDX6O6o5qFtW8xdIwNaGVLoPWvnEj/vffR1pNGgGAzWHlSM0Rnhz0JENChvDAmmyqWk2svWMwwdKeFJ8z/jE7d1C0/kuET7+l8IZh3DfxBSSChOAlSyi9coaLGVMmQxESgm7uddS//AqGffvwGPvbyXlSqYS+Y8OJHRhI+uZisvdUUJBRx+ArY+h1WSB9hgajbzRzYmc5Xv7q/wj3vUwuJTzeh/B4Hy4H2hpMVOS59gpyD1bjsDuRKSSE9vKm/5RonHYHtVlOyuu8KcuQojzyPeERMnpdOYCQPiGEfvgBhn37qH/pZcpvmPdv6whfDJ4+asbfGs/W93LY++Vppt/3vyv+8rc1/mdbz7KmYA2zY2f/eXUuUYQtC6F4L0x7D2LH/6UxGS0O3BW/rs4FsDGrii8zj+MZc5ArIiYSX3WKrK33c7qjjFd9vLvVAkgdciYW3I7G4k3B0N0sumwhvbx7ESgG8P2nR2kpVaAQzKR6fEmS23Zkgmu1cNYZxAt95lEQs4F7a2XM2e/gfd/LUV/uQ0XNaYzu5ajVtdgtiVwf/RSrv9eAQYWfrAiD05esQffT58TbXPf1i2ijjfgm63lvgowJmxRsK5pDpW42kcpjjF00BVnYxdNgxfZ66lZvp+WUB1aZiS8nSjnQt4Px8hlcURKOqSWQs7Eq1JZmzEpXaquIiICAU7Billno1TASoyCSeagaN4WUuMpMnBKBN3qcIcRTxRr7SR633k6zI4k1lm8wdDhID9/ChL5BSLdZ8UryRJ0Qj72hAXlUNJZ2KwGD4tAYOzHkqlDZbQRKshkaMx13uTsPHXiIeN94EuZPoe1p116F02CgbdtWvjR/zSOA2Wbiul7Xc22va9mYVcXGrGruH9uT/pHegDe+C++l6d330HdQPgDNAAAgAElEQVS2cyhvO/1VAi+NWoJEcD1XmU5HwJNPUL3wPrDbCfvkY+TBwbR8vYqm5R+gGTPm33Jk3DwVjL6hNwnDQzi05iz7vson92A1l1/Tk0HTomlvMpO2oRhPHzU9Uv3/ndf3T0Pr74bW342kUWHYrA6qC1q7MojKTro0KHSBGnoN88JWU4u+oJniiiAKl+WikDmJ6hdITGoS4Rs307biU5pXrKBj349/SEf4lwjv48OgqVFkbCkle08lKeP/O0Wm/238LY2/KIq8kvEKHgoP7k2598939ONLkPMNjHgM+s37y+MyWe2of4NjPL2sgid2bEQT8ylO4EDpDi4TdiAqBPD5F6I4UWB00VyCOqIZeXNP7ksejP3MHrI2bOFAaW/sopJEt50M0KxBrfWA2HmQ+RnfKlJZ6ueGzbKaEaEjGPfB/TTPvpWrdy5nSvA6prfegsGzFYmhBx5qHe/8YGSi0YYMkQna17GK7mxseZGKAfMIr1lC2xk3OqpVzOtrYN2YuTjtIxHtBUwMWIrU84YL7lEURXJ+XIv5+VfQ1qvJ6CVwdFg4/TXzScz1otMg0CkYiVUdoFeyCu2ke/jxujto9RlPm87FHWOUG6BhNDFWNQ4JSFus9J0UgPrxPRgiZXSorZy1W7Eho87iqjIVFHL2p36G3beDyzca6VTI8Y86Cy0lIBFw9krBWSTSV/4TYQktbGy8jF71Fbz9iUjhN/E8euhRUvxTWDZmGWqb0GX8lb17U/nFx5Re4apL6KntwYIBD1PebOSpjbkMiNRxz6jzRXO6a66h+cOP+PGNRcjajah8A9Cpzm9YO00mmj/+pOtv45Ej6ObMwfeO+dQ++RTGgwfRjLhQB/rX4B/hycxFqZw9VsfRjcV8t+QEvS4LZPCVMRhaLOz54jQabyWBUZdQz+I3IFdIiUz0JTLRF1EUaas3ueoKcpsoyKjDaQe5RwyB3k5sFRXYWk0Up1koONaATCEhImEs4a+MQbbhfepffJG2Dd/9YR1hgNSJkdSXdVCQUfeP8f9fwq7yXWTWZ/41kZbMFXDwNUi5AUY+dknGZbI6cFdIEUWRelM9+c355Le4Pqeb8mkw1yP7BQXJQLmOJjctJ89t6v4Sg8unE9OSwpCBzfQpeJ/CTTbS9NfR4UhFoSghOFXB0KufRio+AWnLsB96nVcC+rFG1YpGYeGFwa8wOWoyJ5tOsmGuP1e/m8vcPTZEPy8cxkhSVAJOQw3rZR9w0PoUSW7b8JK58v2v0C5hW+uTZIbezbjwl2ks70tGfQJO9Ui8WjJJzPuS4gkKYiXnX79GUyPbT63D/v/YO++wKM627f9md2GBpS69SREEEQvGXtBoYom99xpNNGqMMUWNJTFFY0vR2FvUWKPYNfbeRVFQUBCpUpe+lC3z/TEGJfZH877P9+p5HB7ZzM7eOzM7XHPf13Ve57loDQ3P5ZFjZ8WxVvUwFxoSEuuFKBhxMb1EgMM5vOUnUThVhn7H+XpfHGtrD2ZV4TlyjVLwVxgV1C1sC0aJT1ys0ODw+1iKjXrcA8voZ9aC9QWxdLr94IF9r81pomOv8Afj0J6cjdPYESgyvoHwNXhv3EhyXBHERmGbuIEIh1ZMD+nK+v3TUZYZMXz+HY1GNWDeO79hrjBHn59dPq7q7eaULlxEQIo0c+/h3x1RlPHxxqvIZQI/9w5B8VBhVWFvT3qTAPxOXsfo4YzKya38PVGvJ2Xcp5TcuIHHwt/I2bSJ9B9mYFajBjYdOpD5229kLVyEKjT0hdKYgkwgoIErPrUcubzvLlcPJRF3NZPgUHcKc0rYu/Aa3b+sg7XDq5VYeOZxCQJ2LirsXFTUbOlJWYmelL9rBZFZFJp4gh1YGnOhIBPRxIykazriwuXILHrj2rM7Nlf3UDBgOE6d2+L46bjn9hEWZALvjahOWcmT3dT+f8drF/y1Oi1zLs4hUB1IN/9uz/7A4xCzD/aMB793of1PL+XEZRSNJOQnEK2JJrrsKIV28YRumkpuqeTiJCDgY2JN9VwN/mWFLLazwU2uYnPbtcyLWceR29seGbNVZlt8771NdYvduMaeYmvxCNKLvSmUa7nqKjLx/e7U8LCV0lZ/TeLW5WVM8KnKbbLwUtbn904zySrOYsyRMRxPPo7a1prQVt7UP17IOUcYa7qOGG1zSgUzLhT0xyAYuGOWQZP73++pjKClza8czBvPqaBtWDV15O6hJJwyL1It6ncERHKO2ZGcEU+MJpKw2DBKjhxn4EEBg1l1wpu3oIBKiGVyLGxyCbHdhr9xJxb1u0OhBcQYoctiNkdksvrMXd4P9SP0vXZc+2gfAhaY661pUCyiA+SCjiEWU8mIFrFsVIMetkNpnmZD7zsF6ESpR6E4OJn1cevo5dsN1XebwccH9fsjYet5uLIOefNJ5Gmk38NGnkrPtCHkKK0oUpqi1JVR465I/Y1lmDY3giXosx8E/6jky1groVW4RKtVypXMO3iLiKRcFvarjbttxYAanh7OXN9ofjwCxKej8JM4/KIokvbtdxQeP47LtKlYtWiBeUgI8V26kjLuU3y2/onD8OGkfTMd7blzqBo2fOF70dRMQcMuflRt5MbpP29z5UAiMrmA0SD54Hb74i2UFv85m+ZlYWomyUX41HBAFKuQc09bXjS+dzsHoxHkJSWYikWIchVpGgUpbh3BrQO2t2NxHjCdwF5NcO/X5bnMYwSZ8L96vv82XrvgvyJyBenadGaFzvrPTFqSL8GWIeBSA3qsBvnz3xw6g464vLjyGX20JpoYTQxavcSBFkQFpnI3Wnq2IFBmRmDSVarEHMHCkMApQzW2VKsLpeH0qvUBvY6NIaXwUWWMT+76UnKvFQ7maWgdGrM1sT0lCjhqXkb1JpVY0SEIC1MFGI3odo9l+Z3tLPVwQ28QUBe/z7x27zHj+AQOpJ/HCjkfF5TRLzsKcxuRC85Ss9Su4mBKjf7YGcwQEDC4pjNQ3FPhOKqYn0Jr5sfpG53gRhK+DZz5OqoyXyqaUDXiJNZayG0/hOkjFbx/qgqWpT25UasOBpkSS3k2IWbbCTA/hlqRLNFmO66XpLE39oHQL7ii92Zy2Dka+9kzsW0g2ZHbybYowkEr9WnoCqQHcl2Pc2RomoHhGGfeHUWXmwpUt4px8LVmnXoubS6N5ErBRewc7Rhyw5H8hAQ8ly1FMDWVdJVi9sCtfeQlOGMiFHPPty3JNxxROZ0k0bEMmahif6XOjL2wkcT3h1Jp6VIMGsksXDA3x+zwBU5WE2gTLrHq4jIKWXwljt51PXmvekVD+ezibD4//jlmvp4o69pRevEyMmup4zZ76TJyN23Cfvgw7Pr0AaT8v/u8uSQMGMi9KVNx+3EmWYsWS7P//yD4/w1bZwvajapJQmQ2p7bcJjddS06alv1LI2k/5tVSQP9TCIKA2k2F2k1FSKtKlJXoSY7OIe74LRJv5lBikPPA4Egg19afXFt/Yk6D7fHN+IX6EtA6+LUTc3sYr1XwTypIYnXkatr5tqO2c+0XHyA7Dtb3BCtn6LcFlJZP3FWr03Ir51Z5kL+ZfZPY3Fh09ymYFgoLAtWBdPbrTKA6kCD7IKasj6et4QxDrh2C9EhQ2pDg24ehkcFUCXHjbMlkTGQm/Hz5Z2wUFWeM5kYj87UNuZLRG5CRVexCVorABQsdN6zhux61aF3tfiOMQc+NbQOZknOZW3a2eBurEphqisx9Cz13L8dMFPkgr4BBgg3Wld6GRo1ZmezGwewcmhjA63osMUHNERBQWZQwwDhaEu54CKIokJv/QI3ycmY2eY7XWNc4D0WwnC+3qUlzrsfAy/UoUDtQLDPiV8eFgCpFuB/shux+AxoNR8PbX0m8/9/qg3N1MmqPYcTCCzhZK1nQpzYKuYyVJ6dgYpj2yO/gYWVP7vY9XK7ahqRTBiwNBk6a6RjTpTIjCz8k/hIUmxTS0vItCmetwrJ5cyyb3td28msJ1h5weTW5MZ2wUYh0v9EIU/vDyBwOgm8lAq7k8q1PPRZZqBh5YhUJg4dg27UrAL83LGXgEXD2DIDwaAA2X0zEt4YvUztUbCIyGA18efJL8sryWPjOQhytk0i+eJni8Cvk7dxJ5k8/Yd2+PY7jKnpMWNSujdO4T8iYM5fcenWxf3+oZLJ+6RIWdR7L8HtueAXb4xFox7UjyVzcG09ydA6nN98mtM9/SJD4F2FqpsC3liO+tRwRRZF7J68Rs/EEqRoT8mwqIwoPJnq5CicunSnk0plz2DmbU/ktZ3xDHHHwsHytdP1fq+A/+6JkyTiu9n9g0lKYCeu6SamSflvB8gEDIq80Twry2dHc0NwgWhPN3by7iPdnHnZKOwLVgfQP6k+QOohAdSCVrCuVMzjIjIFzy1mVtRYVxZKCZ4dfiHd9j45LruDtbkGh+UIMxQYMogH/Mj23H7Jt7OlYl+FVv2HPgrsYDDoQQONgwqbSfEICHNjdoybO1hJfuVSbzZLVTVhpIUctlzFJU0is4jzbPCyRIzDAzJOh/j1QV34XbCUNvqtJuXz/5xnqmViBAaplRJEVKB27pdkx5MJDedE6QzGqXDm6M4/o4pa42OwiRlUNuzhf6lTKwy4pgGrarpyr7wiiEbucGHzv7iZoQEucutdAmOf/4EEy7Ah43KfO7hwNxTmU9f2TkRsiyS/Ws+2jRthlh5O4ahQbLAX6Gh/Verm55SxadVNynN9DbzSiautJ+Pk7HLuVydDAusRzmRJFIYGb4jCWleE84SHdH5kcag+AYzPIy++GlbMSreokSoejdPDtQCgBZJ6YydIOvvTZasCi3WgG71tI+vffA3C8ukDrcGiUaoXQqBHaM2coKTPwa58QafX1EBZfW8z5e+f5ptE3BKgD0NeSGExl8fGkfjUZi3r1cP3h+8emK9RDh6K9eImMGTOptHoVcnt7shYtptKK5U+7o58LcoWMkFaVqFLfmfM77lCi/e/PgQuCgFtoTdxCa1ISc4t7i5eTeCmZbMfq5LiGUGJ4cJ/kpBdzae9dLu29i7WDmfQACXHCxcf6/yzF82+8NsH/dMppjiYd5ZPan+CsesHOvbIiWN8TsSCNjN5ruFmczM2Ig0RnRxOtiSa1KLV8VxeVC1XVVWnr3ZZAdSBV7avibOH86IzCoIPonXBxuWTHKDflpKwhMZV6MnZQP4rKDHw9fwtDZGcINrvKeE0uaoMBN1FG5EOBY0GLBTTzbMbGb89TUqRD5aFig66AeH0hX3YMYkhdJ2Qp5+HyGSLu7GOqMYM7KhOaaYuxUVjyo60JoiDQ3bcdH9b5BCeLR2l9X4Vdx2AU8bUww0QuYN2xE0gpcD4zNMPTeJz6smh45xuMDcawa/Fpkov1xHgeYqnbUQKyM2mGLw0TOwFgY1NMgOXvVJn4G5svXST1l0u4zLlI0fJvca1rgrm9DiZngOL+yiFqO0RuhbcnM+28jPCEbLY0z6Xq3u6QdJ7ZTg6YiGYo9A+W8MGh7ty5mkFUtfcBcC+9xQkfN47HpVHPR82R6Az6uEsqlv1tmxB8YTFi306YentXPPmQ/hiOzSHf4MxF8Q5Kh6PUs2/Ld02+o1gheRwHlmQyr2dNRq83Ytf7czr+/h0ASh1Y9+pJ8ZLNJHcbhAdnaBXkTDW3iiSD0ymnWRKxhE6VO9HFr4t0e+Tmlr+v9PbCY8H8JwqZCTIZrjNnEN+lK6kTJmLbvTvZS5ZQfO3aI5r5/ylUNkpaDKz6Ssb6n4RZQBV8fpqF2507ZC9ZQu7uzyiy8qQotCcZJpXIzBKl5kIgP6uEq4eSuHooCQtryZegci1H3AJs/ytSXa8ar0Xw1xl0zLwwEy9rLwYEPUovfByMopGkgiRuZkURfepHbhpTifbxRnN6PCAVYr2svajpWJNegb2oqq5KoDqwAi3vsci/JzlzXV4NhWlgUwlaToOQAXw1L5xhJrmIh78l/8Kf/F6WAMBdfRBtbby4QSmR2jSaujelknUlhlUfhoO5RImrXNeZeBcNi2Lj6GifxB9VsnCI+QmOhFMs6vnNzoa11laYy+RUw4wLVmYU60sxFrzF8o6TaOj1ZPPsrrU9GPW2GfojaZRq9aRXHQj7k7EpTqahvzN/akLZoGxPfWsf7vywFtvUSsTbXUNdquSDKz9CmQkymQ6jUaqPvF03HpfI7WC3iiENhzA1Yy9Hb2j4+C85dw86YNuuOU5FJchtlNKKa8+n4FqLjfL2GC+v4JLtAezPJYCtF2caDuNY2gHeybTFRJRuZwtXGY5eVkSeeFAT8YnawFfRBj6r0Q9jnRDiMotITpOkE2rsu0qeSmB3/TK+++fJ23iQ13gO4lY5KRYXqGndjmXtfkAmyFD6SRTN0tuxtB/YkIRsLXOPHaWWI1TKhBkb5FRd0o27K7cTGR7DnabdGDK0S4Xh04rSmHByAn52fnzV4KvySYL+ft3Aom5d3Gb9iNz66WqbUv5/HgkDBlBy4wYyGxuyFi7Cc/Gip37udYHS1xe3H3/EYdQospYuJW/7PFwEAfOO3cky9SQhMossqyroTK0A0OaXEXUihagTKSgtFHjXcMC3liOVgtQonkLH/v8Jr4W8w+rI1cy9PJffWv5GqEfoI+/rjDru5N6pkJ+PyYmhSCeJTSlEET9zJ6p6NCmfzQfYBTy/CJwoSrP7i8vh5m4QjeD3juTM5dsM7p6GmD2kXwzDWcjBKMg5pw/AGNiOxm37sz37CjMuzMBEZsK0htNo5f1QM5lWQ0rEEc4d24V/cQTBsgRkGEGmALfaXHKpwrTCSBJLpWAiQ8CISFWrUC5ercvXbZozqJH3c53G+q/PYWZpQmZiAfoyI96J+8gVb/N9a0cUlpF0uzESB+0DyQQ5ZeRY6XEyPcdgxUJKO6xm2w5HSvLy6Wr9Keruk2H/BHRlhYx2tCNCpmThwTLMb5git7PD+csvsNZuQojeTZZvJ8S4YzgKeYiuNREaj0UX8B7d/2yNrigDs7gPaZkj+R4o7aE0G2y0SVQWbnHN5l3s1HJqnPyW0rQ0ltXvw26nGkzydkN3NYdmJz7h2vv1meV4kf3d9uOieiASZhSNzNwyH5sj1SltH8O4diPKA7Qoitxq0BDrNm1w/eZrMooyaLe1B2O2ZFL3tohoY4nC1Jw4QYWz5h4ehw7j5PLAa0Fn1DFk/xBu59xmY/uN+Ng8sCzM37+flE/G4bNzxyPet09D9ooVZMyeg9zRAUNmFj7btj7RNvF1hi4lhazly8n7cyuiKGLZtCmGwkLSb6aR49WAvCqhZOXK4B/hUeolsMc3xBGvYIf/evXP11reIVObyaKIRYR6hBLqEUqxvphbObeIzo4u59DH5sRSZpRof+YKcwLsAujg24GgrLsEXgvDr95oTN75+sW/vCQPIjZJQT8rRlL7bPgRBHeXFECvbZTkn8sKEE1UXDZWI07djJUZ/jSo5seMbpUZf246BxMOUs+lHt83+R4XUQZRYZBwBvHuKYSMG7gD7TFB6xKCrGpP8GqE1rkaP0cuY0P0hgqHFOrZjO4+wxi56h6NKtkyoMHzte+LokiBpqRcnRHglq+cd44m0DPODUfd9+XbHXysqV7HGp8TLfnd0Ay7Tt8iv3IKi0Nj6DD0OFt/0rBLM5VuWydg6R2IidqXudc2MNjVmZGdrFg9/ltMflpD6hdfkutUiksdOQ53dnBBEYJ5jylYBrQAQWDTjbXcKcthXJaShfLA8u8vzYZgby0Ov8/Ca+kSHC2q8NeySJJ6/oj13hmMOrMGJ//mpCh64GooRRVclWbDpzFre3v+uPkH4+tIqzu9Uc/U01O5eyefxlRnROjQCuk7QRBQ+vlRGhtLsb6YsUfHUiJqsCkSueqpwn/SImSfj8a7MBMAxeH90K9f+ed/uvwTEZkRzG42u0Lghwd0UYW9PS8C9ZAhaC9eovDYMQCyFi/B49dfXmiM1wEm7u64TpuGw4gRZC9fQe7mzYg6Hfbu7tjc3oEYtQVF4xbouo4kJUMgMUpDSaEOfZmRuPBM4sIzkckFPALVVA5xxLuGAxbWr8Zf4H8K/+dn/l+d+oqdcTup7VSbvNI84vPjMYoSk8RGaSMxbe4XYQPtA/Gy8pIooOFrpSJjzT6S/+6LsADSIqWAf20z6IokvZ8qbaUcdtxhuHsKjHpQOUFAWwhsR4FbI6p/dwIAPydLJnc34dvzU9AUa/jYtRmDtAZkiWch+zYARhMLouRV2V9QGb1nQ4b37o6DrZQaOJt6lm/OflOBCtrQxp/Rjb+mmn11+iw9x817+fw1LhQ32+dr3CnML+b3L84CEOdwhcpZIRSY52BV/CDNZWpjwkoTLUobU9YMrU/Sb+3xFxNxmByDLCceljQFO28yU4oJ03yHlY2crsMcUa5vDUY9GRZ29PPxQ28oZV2xCovDEWREWGMwyDgWWJ93f5mNv6eUp9eUaGj/ZxuqF2hQJXbF07ILpvf1dJy7lFBrzs/Ira3x/nMLgiBwYXc8F3fHU7e9FxeWzKTl7VNcqTaMYktP+n4agHnNmnxx/AtOppzkYPeDKBXKcoOfkfnfYHLHgWHzmj5Su7k37Wvy9+9jycxGHEo8TKA6kJHfX+euYzXmhAzDVpPGrxeXY5EnBfPAmzcQBIFDCYcYd2wcfQP7MrH+xEeud+av88latIjAyOsvLE+gz8khvms39PckcwPfXTtR+j85rfcGoM/MJHvVanI2bqwgly2YmKAe9j7q4R+QlV4myU5EZpcrj5bvJ0gex74hEuPov0UQ7rWd+euNevbF7wMgpTCFquqqvOv9LlXVVamqroqLyuXx1K7bB2HXWPB9Gzr8+nyBX18KN+4XcJPOgcIMHAPB2g3yU+Do/WyyQxWJvhjYDtzrlGvx5Gq0gIincI/mPqf5+OhlvAzwa9o9qt1ZBUob8GoItQdywRjI6KMG8ophcocg+tevhCAIFJQVMPfSXLbe3lp+WCGlOsbU+ZS6tT8AYNmJO1y4q2FOj5rPFfgT8hPYHrud41fO05JhALg2VyBsA8uHAn+N3AM0/uUb3krXMmjFBUJnH6WjrCG/ml6GpLPg3QTa/gg7x+Bocr8LOH86exdeoYOVDIUATjZeLCoxZ6DuHh8ZMllTpZiT9SdQuuMCLW6cR3i/P4VTpmDZtAnzr8xHayhmcLoluwvewTSnuPxYbBPOo0tKwmn+r+W/b933vNGkFnFxTwKyPh+zYIcTjUUz5OZyzGtK6aJB1Qax7+4+NsZs5HrmdY4kHWH8W+NRH/ah1En/2HtFWbkyxrx8Ltw4yPsNh7MxeiPqYjketWsyXyFHHeBH4OcbSGwtpeqyFy9G268dU05PobpDdT6r83htI32OBrmt7QsHfqjI/0evJ2vxEtznznnhcV4nKBwdcf7ic+yHD0Oz+ndy1q3DWFSEqNNV8BGu1+Ft6nXwRZtfRtIN6UGQeENDqVZP6u1cUm/ncmrzbZy8rMofBA/LZv834f/8zD+pIAmViQq1mfrZOwOkhMPq9mDvC0P2gdLq6fvnJsHlVRC+Booy728UQGkNpXnSa896EPCeFPAdHpqBiaJE80w4zanDOzHVX2eOkwk3lab00Or4zC4EC+9m4NUInKtRrIfv9tzgj/OJBLla82ufWvg5Scd3IvkE35z9hgytpCETpIcxuQU07rYewbsRALfSC2g//xTNqjiydMBbT+Q0a3VaDiQcIOx2GOEZ4cgEGd0yRmEf64dvbQfaflCDuFsa1vwSjqNRRrOGAoofPsJu4ABcJk3i+K1MBq28gDklRFmNRla9B3T8VRpcEw9nf4PIP7ltM5IDV+viqzxLa9s5Erdf5cgFC0s+VOnxlTlx+eZYxrUMYpgqi7RvplN29y60bMKIqufokFsF85RhGGVmBDdy5cbJVApNc2kV/Qs2Smt8duyoQI3UlRkImxNObrqWdZYlvKMBldqc8d8/qAP129OPa1nXAJhYbyJ9q/ZlzVdncPG1odX71R65Voe2zsP9q2Uc/awZutpVWRu+nLVz9Dh++inyfoMwM5FjbiqnLCGBuNZtAFg13IvTbgVs6bAFN0u3R8YESP54LKV34qi8e/fT7r6nInvFSskDWCbDd89ulD4+z/7QGwBgyMtDs3YdmjVrMObnl2+3bNEC50mTMPV4oLNiNBjLjeATIrPJTKy4KrBzVVH5/oPAwfN/tpfgtZ35A3haeT57p7+hiZeauCzsod+fTw78RiPcOQIXV8Ct/VIB92HITaVZesB7Ulrn754AowHuXYOEM5BwSvqvNhsRiLZ0YqGzJWZyU36pPZYW1fpXWHFEpuQxduMV4jKL+DDUl09bVUGpkJNXmsesi7PYGSdJAftZejI69S4tiooQBmwrl5jWGYx8uvkqlkoFM7pWf+QGFEWRiMwIwmLD2B+/H61ei7e1N5/U/oT2Pu358zPJbbNJ9yqUFOo49PtN7A0CwT0qU72lF2lJA8hZsxbLxo05UySdbzFmHDLW4Z2oHcjemy2lvdQ+0vUqzsG/+Ae0Vu05VfA+J/OHEdo3CME3lHpLmzNJ4cV0s0y8A3cx6u32KOT++OzcQfay5aQsWcro1J5kODcmW15Kj09qotKJkpm4oQCzxAzsZ3/2CCfexFTOeyOrs2XGJXoUm1GCnuQSHaIoIggCWp22PPDXc6lH36p9MeiMFGpKsGnwqFPUlYwrfJ+xloVAO2rQ4+ZqOqibAYdR2KuxVT3IAZt6eWHTqRN5O3YwZFkCXb8b9cTAD6DXZKNQv1i+/59QDxmM9uJFCo8dI3vpMtxm/PBS471OkNvY4Dh6FOrBg8hZ9wea1asx5OZSeOQIRWfO4DDiw3IfYZlchmtlG1wr21C/oy9FeaX3xeiySbqpIedeEZfuFXFp712s7M3wDZEopC6+Nv+rvQT/54P/c6MoW2riMuhg8B6weowtnFYDV9fDpRWS2uPDMLeTDNsD3oPKLaTuX9UZAaUAACAASURBVINOCvYRG6RAn3hWKgID2HqBf2uuWQQwJPYYZZZx6Av9mN78B1pUe1C8NBpFlp28w5wDMdirlPwxrD6N/SSd8sMJh/n23Ldkl2TjaeXJR94daXt4DnKQzsEluHycBUdiiUzJZ3H/2jhYPui8zdRmsuvOLsJuh3E3/y7mCnPaeLehi38XajnWQhAEYs6nle8vV8jY/lM4ZZpSjjnCmBaS4qHTZ+PRXrhA8oSJhDUeS/f6gQxs6MXi5ddpZThB5pU9ONbtKl3DSyvKx6up2k2R0Y4rRV1RZfhQJ/pTjEY9q9M+xNIxmmzVTn69+gufvvUpMlNTztSuTHSzCViWOeCV8BfBpTfwLvEkVS89cNR5BZQ422Dd9vGOXpZ2ZrQdWZ2wueFYiALZeh1Rqfn4OCkYdXhU+X6FukJEUSQvqxhRlGSHH0ZyQTKfHP0EK2c3BOssboYfoLRBKf1dO1DGYeSPKdRebV8Fnx3Sa5uvl5Bv6Yd1mzaPPU5DtgZlwMt10goyGW4zZ3Cna1fydu7EYdRHmHp4PPuDb1AOuaWlFOgH9Cdn4yayV63CkJX1VB9hlY2Sqo1cqdrIFaPBSNqd/HINouzkQiIOJRFxKAlza1N8azrgG+KIexU75M/w8XjVeBP8Acq0sKEX5CXDoJ3g+I8/upRwaZYf+WdFe0HbShDYXgr4lRqCaICUy3B+kUTfTLogFXwB7P0hqLOU+/ZqBDYe7I09zoQTkxBVRbR1+4DNh71xfahz+F5eMeM3R3AmLpu2wS780KU6dvdnkymFKXxy7BNcVC583fBrOpp7YvJHDzAxh4E7wfEBPfBaci4LjsbSJcSdNsGu6Aw6TiSfICw2jFMppzCIBmo71WZo8FBae7euQGHVlxk4tz0OAIVSzvZ54eRnl7DLRke9t9zKVxAypRL3uXO41aUbn1zcQLNJf+CuVvHR+8PRrPiNrL3fY5Z0EqubGx9cvw6/wJV1NCw6g9Z6JOd3xWNhLeOw/SCSdE7s6NGFP+LMWRW5ChcLVyrfrUviThkKUzM6qKeyprgG3WJzuNuzJ/mdxwL+2BQVktDxLUIUT761XXxsaDGgKodW3aBQJrL/RjxXImYTlRXFrNBZFOoKmX52OpfSL+GQ4Q2AjdOD+khBWQGjD49GZ9SxoOVv6DZ/QcntKDr07YJTqZJkHmXp3Mq5xbSERXxd1ZbKd0tRVvEn5dPxGEtKsO3cmX/CoNGgUD9nqvIpkNva4j5Xyv8X/HUA+/eHvvSYryNkKhX27w/Frl9fcjdvIXvFCsru3iXp/WFYtW2D84QJmDg/2jwqk8tw87fFzd+Whl0qU5hTSuL9WkHSTQ1RJ1OJOpkq9RJUlx4EnkFqTP4HegneBH+jQaJbJl+CnmugUgNpu65YolReXC4F9L/hWvNBwFf7SH6zd0/CsZnSa4Pk3YpTNQjpJwV6r8YV5CBKDaX8dP5H/oheh1HvzKzQX5Dp3NlMeHnb/97r95i47To6g5FZ3WrQo45HhVSNm8qNNW3XUM2+GqYp4dKqxdxWCvzqB7ndEp2BTzdH4GipZGAzM2ZfnM3uO7vRlGhwNHdkSPAQOlXuhLeN92MvT8SRJApzpHPSlxoozCnFo5MXtw7d4Kugiquj2+aOLAzqwMcRWzHbvhmGDiFYngjkoxbz4VoshVV7Y1l/AKgcQaeFXWMR2szkbT8VxRERHM0fyU5DGfM/rI2PoyUT7CeQlZXL9dV55OQlEq++Ti+P3XgYDfT4eBZ+lgKZv/xK8pHLUMUf07JC7jap/MyfPaC+CzoLGfM3niAx6SsMJqnMbTaXll4tKdGXsODKAtZErWGo4XPgwcxfb9Tz+YnPSchPYNG7i/C28WaPbQnu0UbeqvEhhoMXACoE7iJdEeOPjcfS1JJaIz4hf+wE7Hr3Ic9iB/cmTEQsKcWud6/y/UWdDkNeHvJ/ejT8h7AICcE3bBsK1yenmd7g+SAzM0M9cAC2vXuRt20b2UuXUbBvP0XHT+AwejTqAf2f6iNsaackqLEbQY3dMOiNpMXlla8KYs6nEXM+DYWpjErV7PGt5Yh3dft/TVn09Q7+ogh7P5eUG9vOgqCO0vb0KKnoW6yRmqV8m0sB37uJtDq4ewp2j4PUcImyKcikh0K94fftCBuAxeP/cGNzYvny5JfcyrlFmaYh05t+SbvAymy9nFx+SJ9viWDL5WRqetryS69aeDs8yhYQBIEQpxC4cww29JFYRQN3go17hf1+2HeFhLLDBATcZOBf0ShkCt72fJvOfp1p5NYIhezJt0BxQRmX9ydg764iO0VawXQcW4tfIxJRmcpp4PvgHEVR5Ie9N7kZ1JQv7HPImDcXi8wNmBefL99ngdCbP+70ZOM7IXjZq2D7KDCxgJq9kW8aQAu7KOZkLKRziTlV5NIKJ/FaDsFHO6ItKeaY7wa8gw3Uv3AZ2s0jwFWitrpM/oo4+TZIABNdIbVmn6VsbjdMvZ7ew+Dmr8AuYBUFhlRmN5pLS68WAJgpzOgd0JuFEQt51zAAM5UJZirpD3D2xdmcTjnNtIbTaODagNTCVE6axjOoBFxLzcjNlprp5PeDvyiKTDszjcSCRJa3Wo6bY22K3eeTFxaG57KlpHw8lrSvv8ZYUoz94MGARNWEF+f4Pw1vqJ6vFjJTU+x698a2Wzfydu4ka/ESMmbNouDAAbzW//FcktFyhQz3ADvcA+xo1M2PAk2JxB6KkhhEd65IvQT1OvjwVhvvV34Or3fwPzVPyj83+hjqf/hgu9IKgrtJtEylpcTbv7IW9n0hFStlJuBeGxqNAa8mEpvH7Ont96IosiF6A/Muz0MhmKNNHEz/Gq3pVUeapWrLJMGsHovPUKwzMKaFHx+39MfkaZoit/6CTQPAvjIM3FG+ujCKRi6mXWTZlY2cyz6GmaseUxN/vqj7Be182z038+ni7nh0JYbywO9d3R4nb2sObUinWYAjSsWDpemxW5lciEtnRZ0kPK2uEH+2jNRtifj8MAVZo2GwtBmDLVJYcc9AryXn2DygCpUi/5T6KK5tgbsnma4bTmk9JyrHlbHj5ys4e1uTejsXx0pWtOjnS2nGNQbHR0i01xq9KhyrNj4ZZLZc9y+lzZlM7nToiP2HH2A/fPhjNXEytZkMPzAcnSydt60n0Mrn7Qrv9wrsxYrIFcTFJ+PpJNU1NkZvZH30egYGDaR7le4ALLm2hFQHOaCnNDYWQ3Y2MgsLZOZSmmhD9Ab+uvsXY2uPpa6LZCxu27sXmXPnoUtKwmP+r6R8/gUZM39ELCnBYcQIDPeDv9zu1cz83+Dfg2Bigm23bth06kT+nj2UJSX/x/4eVmozgkPdCQ51x6AzkhqXS2KUBhvHf0d2+vUN/hEb4fB0qdv2nW+kbQXpkHD6PhvnNFy8b5enMAOPuhD6hZTG8agLps//g2QVZzH19FROppyktkNDLlx8lxBnd75qJ7XdG4wiP+6PAUBpImf10HrU9X7GH37Udild5VwNBoSBhZrUwlR2xO1gR+wOqcHLaI5ZSQOWdB5BbZcaL0Qxy0krIupkaoVtviGOXE/JI6OglHeDHuQ3DSUFRIfN4pT5dlwiM8ExELfPBpH43R+kHcnBraUtVO+B5cm5bO73E7023GXH6h8ZYygBv5YYtw7nFCFcd+zI1j61uHdDw77F10m9nYt/XWdaDqqKXCHjc/UA2DcT6n1QQU67ODKK4pQ08AzmWjUwtGvDwEMGsuYvIH/XblymTa2gb59WlMawA8PI0Gaw6J1F5UH5YajN1HSo3AHdBTCvIedMyhlmXphJM49mfPrWpwAk5ieyI3YHgxt0gvWbKb0di16jKS/2Xs+8zuxLs2nm0YyhwQ9y7bbdu5M1fwE56zfgMnUK7nPncM9MSebPv2AsLsGinnQ8ileU9nmDfx+CQoFNp06vbDy5iQzPQDWegf/ePfB6Bv+4I7BjlFSE9W0Gu8dKAT87VnrfRAWV6kuzf6/G0ixfoXz6mE/AieQTTDk9hcKyQsaFfMHvf7ljaWJkYb/amCpkJGm0jNt0lcJSaeZ/9LPm2Jg/I8cXsRG2jwSPupT2XseR9POE3Q7j3L1ziIg0cG2Ak74zJyNcWPVBKG+5vvgNdDYsDqNRxMLalDrveXNi4y0s1WZsvpmOXCbwdoATFGbA+SXozy1lpC6fbPs60GoB+LdCJZNhn6kie/ESLJs0wbpOTzgxG//Mg2x4vy+WSz/iqlAV/2M/Y9TL+F42gmX93yLmRApn7xeYAbJTCtGVGiQmxOXVUpqt7rAKx5q9ZAlGM6n+YFTqyLOS4T5vFjZdu5I2fTqJQ4Zi3b49zl9+QZpZKcMODCOvNI+l7y6lltOTvV37+fXnr7IEIsousuv4KirbVubH0B/LTYAWRSzCVG5Kvyaj0dj8RWlcHIbsbBRqNXmleXx2/DOczJ34vsn3D+S7kZqwrNu2IW/HDqkfwFKF64wZCEozspcsofD4cQDkL0n1fIM3eBpev+CfEQ2bBkpBJPs27BwDZjZQqRHUHgTejcGlJshf7tKU6EuYd3keG6I3UMWuCsveXc6PO3NJyclk4wcNcLI2Y/uVFKZsjwTA0UpJUan+2YH/0irE3eO46VOPMP9G7NnZmYKyAtxUboysOZKOfh25lWzCkCMX+bCZL3WetYJ4DFJjc4mPyEJlq6TzuBDS4iV6qpWdGQf3p9PeXYvt4S/g6npEQxlnhHrss+3Fj6OHVljyOo4ahfbsOe5NnYb59jBMXGvC9c0EqH2ADLJFW1Tplxiv/4hJPZoRsf42iTc0eNdwoMXAQLKTC9k1P4K9i67R8aMgFJdWStaZ9g8KuqWxsRQcPIi843eQD5jpKTNIOk2WTRrju3MH2UuXkb1sGfnHjrL5bRMKawksb72cag6PNm09DLsyZyCBC8WnUNormd9iPioTqf4SlxvHnjt7GBw8GEcLR4rua/wYi4owcXNl0qlJZBRnsLbt2sf6RNv17Uvejp3k79qJXZ8+CDIZLt98jWCmJGfNWuDNzP8N/l28fsE/+7bEiqn89gPapVOQZNzxihCjieHLE18SlxfHgKABjK09lsVHEzkcncH0TtXwd7Zi7MYr7LiaSh0vO37qVYtFx+M4EJX21HFzTs1lz4Wf2O7jRwz3MI3bxTte79DFvwv1XOohE2Tkasv4cusJApyt+PTd51eDfBglhTocK1nRengwNo7mxF6WjNm16ZcZmz2dNvJLoDGFWn34Q9aRySdL2DKo4SNpJcHEBLc5s4nv3IWUz7/Aa2Q3hMNTpdoJUF2I44y8PtWrDSBuXSxlJQaa9Q2gWlOJQuoRqOadIUEcWBHFwQXHaV2UiazThxW+I2vpUgRzc2Qe3nAjD8wfBH+Q2BmOH48hr1lNIieMoeeuInrG+eMTIoDD069Dboak8WLtaMb0Fr9WaMr67epvWJhYMLSalM5R+vmRv38/gqkJCe4mnEi+yaT6kwh2CH7s2GY1amAWFETO+vXY9u6NIAgIgoDzxInIrawpPH683MLxDd7g38DrF/yrdpD+/QswikbW3VjHz+E/Y6O0Yck7S2jk3ogj0en8fPgWXWu7E+hizXu/nCQtv4Tx71ZhZPPKKOQytKX6R9ydQLL3O5N6hrCzP3K06C56ezuC7f2Y7NeFNj5tHplVTtkRhaaojJWD61YoyL4I/rbDk07KSMGdWMwVJbht649KZkF+nY+xaT6aLGyYOfsYrYKcn1ijMPX0xOXrr0n9/HOyzgfjCJCbKJ2bqT16z1kUHU7D3t2SzuOqoXaryGzyr+OMNr+MU5tvc8J2PM18W5QbfZUlJZG/Zy/q/v3RG2XIZAIyJRWCP0gP4w+ipyAbbMcSBsCvq4jv3gP1gP44jPkYueXjtVfyMiS9oOU9FmL6kHRvtCaagwkHGVFzBLZmtsDfGj/SCulMsYa23u3oHdD7iddYEATs+vXl3leTKb50CYu6dcu3O44ZjeOY0U/87Bu8wavA6xf8/yVkajOZfHoyZ1LP0NyzOd80+ga1mZq7WUV8svEqVZysUFuY0nvpWTzVFvw5oiEhlR4Io2nLDFg81NiRmJ/I9tjt7IjbQYY2AzuDgT5mHnRu9QtVHB7vqLT7Wiq7IlIZ/24Vgt0fTTW8EPRlcH0LnPmVwls9sFLYs8ZmBFuMb7OrvdSVOn9HJMU6A1+2DXzqUDYd2lN06hRZK9eham6KhVMZ2bpKHCibh+aUhpotPGnQxReFyeMfVjUDs9GqthKe2w3V/kTqtpP6GLKXr0CQyVAPHYr+90TMLE0wVZhS+nevBRCVHcWHBz9EKVeyotUKvG28MbTpTsbPP6NZs5b8fftxnjQJq9atHlm55KZrMbc2rRD4AX678hvWptYVjIGU/n7lr+VqNdMaTXtmgd36vfdInzUbzfr15cH/Dd7gfwovFfwFQZgNdADKgDhgiCiKufffmwi8DxiAj0VR/Ov+9jbAL4AcWC6K4syXOYb/BhxJPMK0M9Mo0ZcwpcEUelTpIWnFlOkZse4y+SV6TOSlLD8VT886HkztUA1LZcVLry0zYGaqZ0fsDsJiw7icfhmZIKOJiT0T0zNpFtAdkw6/lquA/hMZ+SVM3h5JTU9bRjZ/dpPTE1GSJxVWzy2CgnvgHEyBqgaWHk5MTHFmeKg3AHcyC/njfCJ96nlS2fHJRvZ/w3nKFLThl0k+V0Zx8zqcLR6MqaUZ7ccE4VXtGYXNC8toYLcNbdBwLuyKx8LalCpVFORt24ZN166YODuhK43H3MoEU7kp+XpJiCsiM4KRB0diZWrF8tbLy3We5DY2uE6bhm3nztz7+htSPvkEVWhTXKZMwdTzgRZUboYWW6eKyqfXMq9xLPkYY2uPxdr0QVpG7vugsa5LvcHltYGnQWZujm2XLmjWrUOXkYGJ06MWmm/wBv8WXlZM4iAQLIpiDeAWMBFAEIQgoDdQDWgDLBQEQS4Ighz4DWgLBAF97u/7/yW0Oi3Tz05n7NGxuKpc2dRhEz0DeiIIAqIoMmHrdaLTJIU/vVFkYb/azOpes0LgF0WRqxlXiWcV8RZfMPn0ZLKKsxgb8jEHrRvwW8xl3qk+GJOO858Y+EVRZMK26xSXGZjboyaK/8RvNP8eHJwKPwVL/3WoAv23IX54kgKtkhxE9EaRd6pKFM/Zf8WgVMgY2/L56gpySxXqgS0JrzyaU9rhuKsz6D2l/rMDv1YD17cg1OxF88E1qFTNnuPrY4hcEIZoNGI/XGL+6EoNmFuZYiqTZv6X0y/zwYEPsDWzZXWb1Y8V+DOvWROfLZtxnjiB4kuXudO+A1mLlyCWSWmjvIxibP6h6bPgygLUZmr6BvatsH1J8kYK70u4e1R6eiH5Ydj17gV6Pblbtjz3Z97gDV4FXmrmL4rigYf+9xzQ/f7rTsBGURRLgXhBEGKBevffixVF8Q6AIAgb7+9742WO438DN7Jv8OWJL0nIT2BI8BDG1BqDifwBU2fl6bvsjJB48o0q2zO3Z01cbR7MIv8pqCYoTHEQ6jOnzTBC7Ksj7PgIrm+GpuOhxZSnNo5svpTEkegMprYPws/p2bPwCsiIhjPz4domSZuoWhep6c1NokCWFunQlxqI05bgYGlKiKctlxM07ItM49N3q+Bo9XwU2MSobA6fD6REbYb/7c3U1R/GQtXn2R8M/12SzKj3AXK5jDYfBLN99kXOJfrQpE2/cqEyXakBc0sTlHIlqYWpjDw0EheVC8tbLX+sKf3fEBQK1IMGYdWmDek/zCDz55/J27UL+0lT0OaXVZj5X0q7xNl7Z/mszmcV9I9OJJ9geeQKQjwdsLydVd7d+zww9fZG1aQJuZs24/DBB0+VBniDN3iVeJU5/6HApvuv3ZEeBn8j+f42gKR/bK//uMEEQfgA+ACgUqVKr/AwXw5G0cjqqNXMvzIftZmaZa2WUd+14imEJ+bww96bmMgFPm8dwLAmvshkAjqjJKi2/fZ2TqacrCCoNm+7OTU8naltXw22DoWbO6WgH/p4s4+/kaTRMn3XDRr62jP4Ob14EUVJYfT0L5IktcIc6gyBhqPAruIYBRpJyO5qdgEt67ggCPDD3mgcrZQMa/psfXiDzsjZHXFEHErCTpFL+wZRaHNSSD8rw+LkJpTN+z35w0aDJKjn3RScpQWiiVJOA7OLHCpx4LxFQ9xSC7F3s0RXasDMyhRTuSmFukL87fxZ9u4y7M2fjytv4uyMxy8/U3j8OGnffsetsZOhzkSszA33L5nI/CvzcTR3pFfAg+7i1MJUJp6cSKA6EN9aARTc3vrCsgx2ffuS/NFHFBw5inXrVs/+wBu8wSvAM4O/IAiHgMfoG/OVKIo77u/zFaAH/nhVByaK4lJgKUhmLq9q3JdBWlEak09N5nzaed71epepDaaWsz0eRkZ+CbUr2TKtQzWC3W2IzYlle+x2dt3ZVS6oNrjaYDr7dS4XVPu+9CDWJgbY1A9uH4DWMyS/36fAaBT5bEsEgiAwu0cNZM/SBjcaIGavFPSTL0q+Bc0nQt3hoHp8wCq8H/wz9HrGBDnzV1QalxNymNG1+mPZSQ9Dc6+IgyujyEoqpHptGY1kW1H0+h1dq0Li32tFyvSf8W7U47HyCwDE7IO8JGj9QIfeUFCAdtNaGjVoyRlTT3bPj6Dr52/hWVWNZ6Adtcxrka5NZ07onMf+Ns+CZbNm+NarR96sjXAP8qeNJ+ejvtxs5EZ4Rjhf1f8KM4WU3ykzlDH+2HiMopF5zeZha3sXY0oqctsX+17LZqGYuLmRs2HDm+D/Bv9jeGbwF0Xxnae9LwjCYKA90FJ8YAuWAjycZPW4v42nbP+vxsGEg3x95mt0Rh3TG02ns1/nJ7I52gS70riKJfvi9/HDnu1cz7r+bEG1siKG3J0BBeHQ/mdpJv4MrDpzl/PxGmZ1q4GH3VPkJnQlkqfA2QVSF7OdN7w3B2r1e6ZMRYFGYs6UKgXq+6rptOA0/k6W9HjrybrwoigSdTKV01tuo1DKee+jGvjUcACaA2Bioca1d02Sf79G5pxZOE+a/PiBLiwFaw9JQfU+cv5Yj7GgAJ+RA7C39iRsTji75kfQ9bPamKlM8KEHPar0eOo5PQsyc3PEum/DzjvYediRNnUahV4q3upgT1f/ruX7zbk0h8jsSH5q/hOe1p7Q1BPLpk1f+PsEuRzb3r3JnDeP0rg4lJVfomD/Bm/wnHhZtk8b4AugmSiK2ofe2gmsFwRhHuAG+AMXAAHwFwTBByno9wYqVs7+y6DVaZl5YSZhsWEE2wczM3QmXtaPV4s0ikYupV0iLDaMQwmHKDGU4Gfr90xBNaM2l8V8j1dBLHRZAjV7PXa/hxGbUcis/dG0DHSiR50nBOLiHCltcn4JFGWAay3osRqqdnzuprYCTTEG4C1/B3ZcSSE+q4gVg+o8sahcUqjjyNqbxEdk4VnVjpaDg1DZPFoXsOo9Crsz/dGs+QNV02aPBs2MaIg/Di2nlndbG7VaNL//jiq0KWZBQZgBbUfWYNf8q1IX8Me1ULwiHfTcDC0qWyW+i1ZyfuVMbBas4YuFxeRof8Fx1EccyDjJhugNDAgawDteT50fPRdsu3cja/58cjZsxGXyV6/gDN7gDZ6Ol835LwCUwMH7s+BzoiiOEEUxShCEzUiFXD0wShRFA4AgCKOBv5ConitFUYx6yWP413A98zoTTk4gqSCJ4dWHM7LWSExkjxbk7hXeY0fcDrbHbielMAUrEys6+XWii18XguyDns731moQ13SmphDHoWozafUcgV9vMDJ+81UsTOXM6PaoJSO5SXBuIVz+XTKT8XsHGo+VcucvqDiYmlpIvsxIg8r2/HzoNg181bQIfHwBNTlaw6FVNygu1NG4ux81W3g+2abOqzFOTSzQ5pmROmEivju2o3B4qOX24jKQKyXJjb9Pa8sWDDk5OIwYUb7NI8COd4dU46/lkRxYEUWbD4KR/Sdsp38g7z7NU0RkjuNlGO/FLzF10KxciWbPLnaEFlKrQU3GvTXupb8LJP1/q7ZtyNu+HadxnyBT/Xeafr/B/x28LNvH7ynvfQ98/5jte4G9L/O9/zYMRgMrI1ey8OpCHCwcWNl6JXVcKnoglxpKOZp4lLDYMM6mnkVEpL5rfcaEjKFlpZbleeGnoiAd1nZGlh3HMN2ntPBo/VzHt/BYHBHJefzWtzZOVg99T1oknPkVrv8pBfng7pLstMvjJQaeB+lpReTLRIoyC8kuKmPVe1UfedgY9EYu7LpD+IFEbJ0saDeqJo6VnmF8L5Mjq9UNt/Rl3D3sSuqkSXguXizpoJfkwdUNkrCeSnogGMvKyF6xEos6dbCoXbvCUH5vOaHN9+fkptsc33iL5n0DXtokOzejGN9ajhxKOERMTgwzms7AvX97LDq258rnI/h4Sykm6UqolQHu7s8e8Dlg16cP+Tt3kbdrdwVzlzd4g38Dbzp8/4G/2RvhGeG08W7DlIZTypt5RFHkpuYmYbfD2Bu/l/yyfNxUboyoOYJOfp1wt3yBIJCXAms6Qn4qGR3WcnSjnnbPKKCCZOT+6+HbdKzpRrsarhJzJ/6EVMSNOwymltBgpPTP5uX9WkvzytCbydl5JYWONd2o4VGxmJmbruXAiigyEwsIaupGk+7+mCifM/VSoydmZxfg1Lsp6b8fJmftWtSDBkmBX1ckmePcR17YdvQZGbj+8HgT8hpve1KUV0b4/gRUNkrqtX82E+mJ56zVUVKokzR9rv5GZZvKtPVuiyiKzCndxd6BBpbn9UC1Zjdx7TvgOOoj1IMGvTRN07xWLZRBVSW9n149X/oB9gZv8DS8Cf4PYV/8Pr49+y1GjPzQ5Afa+7ZHEARyS3LZE7+HsNthxOTEYCozfURQ7YWgiZcCf3EuDAhDYxIEnET1jHy1ZMl4FbXKlOkdAiByqxT070WAyknKj9cZKpnJvwKkarQo9eL/sOhbmwAAD+dJREFUa+++42s+2weOf66Tk40kgkzRGE2s2ARPWw1qNMSoUeun/VGUPnRQxaODtk+rRhdatNpYVaRE7a3jqdqrCGmtiJBGZM/7+eOkRonM4zxy7vfr5fXKcb7juiWuc+f7/d7XxeWsbHLtYWyHm72NlVL89tMldi+PwsYodBpWn+qNKhftBJ5BUCkAN8fTpLRtS9wH03Fq0hSHX+eZeib4mGb4Kjub+PnzcahXD+fWrfI9XHBYdVITM/h1rWkVcL1Hizcjv5ZX0+e0Ok50YjTTH5uOjcGGVVGrWHNmDSMaj6BJw+fJ6jOc2HfeIe6D6SSuXo3nG2/g1KRJsc4JefV+nn6a2H9NJm3//hIdS9MKopM/kJyZzDu/vENkdCQNKjfg3UfexdvZmx9jfiQiKoLt57eTlZtFXfe6TGox6a4F1QrtyilT4s9ON3Xf8mlM6llT5yYn+3t/O2ZuPsW5y/Gsaf0HrvNfgmtnwb0mdPnI1NnKthCXmopgy/4YBCHRoBjUshpVK5qeDEpPyWLH4pOc2R+HT4Ar7QbXoZxbMc4tAkG9kG1T8Ro7jd+PHOHimJH4B5/B0PvzG5tdX7eOrPPn8Xh13D1nwyJCmwGBpCVlsWvpSZwq2N0sUFcEiXnVPFfGLSWwYiDtqrXjxJ8nePs/bxPsFcywIFNlUVtvb6p+8glJ27YRO3UqZ/sPwKVnD6q88gpGt+J9ALuEhhL3/jQSFi/RyV8zK6tP/gfjDjJ+93gupVxiRIMRdPTvSERUxI2Caq72rvQJ6EO3mt0IqBhQ8AHvJfYofB1mSnqDvzd14eJmC0ene8z8D5yIwvGn99nnvBXnfYng29z0/HtA53zLPpTUr8euEAjkOBgYFWK6vRMTlcDmL46TmphJy+41aNjer+D1BfdSvxdsm4rx/Ga833+Pc4Of4fIRD7zeMHVFUrm5XP38c+xr1aRcSEiBh7OxMdBhaD1WzzrApgXH6Dq6Id41i/bcvWnmrziVc5QPG84iJSuFl3a8hKu9K/9+5N83mrn8pXxICM7BwVydM4f4LxeSvHUbVcaOxaV7t0L1cr2VwdER1x7d+XPJUjyuXMFYuegfXppWGObJGg+A7Nxs5hycw+ANg0nLTqNHrR7sid1D2HdhLDi6gMCKgcxoM4NtvbbxavNXS574L+6DhU+CjR08s/5G4gdTUTfIJ/n/+TtZa16i9rJWjDGuwr56S3h2IwzZDLVDzZb4UzKy+eO8qUBat9Z+lLc38suaaL6bcQAbo4Ee45rQuEO1kiV+MK058G0OR77F+WEP3Gsnc+2kgetbdgCQtHUrmafP4P7csEInUlt7G54cGUT5ig6sm32Y+JjkIoWUcDmZVIfr1K1Sh0d9H2Xyj5OJSY5h2mPT8l0xbHByosrLL+O/aiV21atzaeJEzg4aREZUVJHODeDaty9kZXFtxYoi76tphWWVyf980nkGbxjM7EOzyVE5JKQnsOLUClNBtcaj2fzUZj5t+yntq7W/rV5PsZ39Gb4KM3UMe3Y9VKp129s3Z/63/CJ2cT98Oxg+bowc+JrVOa04HLYZY/9vwC+45DEVYHfUFZxMYdE1yJuID/azd90fBLT0ovfEZng8VIqNRoJ6Q9xx+P5lKjdIxaFuIJcmTyYrJob4uZ9h6+dHhU4di3RIx3J2dHmhATa2BtZ+fOhGmYrC+P1cDH/axzKy0UjCj4ez5dwWXmzyIo09Ghe4r8PDD1NtUTheb08lM+o00d17EDd9OrmpqQXu+xd7f3+cW7Ui4ZvlqOzsQu+naUVhVclfKUXkmUh6Rfbi0JVDADgaHQmrGcZXHb8islskQ+oPuWchsCI7sx0W9YDyHqYZ/99q5wCkZJhm/s62BojaAgtDYd7jcHor52oPoVXaLE4Hv0tQo+Z37Gsum4/HUSFXQCByxgESYlN5Ykhd2g6qjZ1DKV8trNsdxAbObEXqdsFn5oeQk8PZgYNIP3YM96FDEGPRz1mhkiNdXmhIZlo2kR8dJD0lq8B90rLSSIvPxq4iOBmdmLlvJiFVQxhUZ1ChzysGA649e1J9w3pcunYlft58okO7kLR9e6GP4da/H9mxsUXaR9OKwqqS/5xDc5jwwwRSslJoXKUxb7V6ix29dzCl9RQaezQu/UfrTm6AJX3Azd+U+F3u/vRJeno63Qw/4L4oBBb3hPgz8MRUEocfotfpDrhUqcrLT5TwslMR7TwVh7edLSio5FuOPpOaUauph3lO5lwJarY1fd38Oez8/PB8fTJZFy9i9PTENSys2Ieu5FuOziOCSLyaxrrZh8nOu8SWn28OrcAu25F61R/mlZ2v4OnsyZR/TCnWz4bRzQ3vd96m2qJwxMmRCyOe58ILL5B16VKB+5Z77DGMXl4kLFlS5PNqWmFY1Q3fGq41GFp/KF1qdMHfpfjPgRfKsQhYOQQ868OAVeB0l9IOGUmw/2t6//whQ+wuo6gN3eaYFmcZ7Xh92QHikzOZP6gZDvl0uTKXgcEPEZRrxM1gQ1BI1ZJf2y9Im/Hg3Qj8WgLg0rUrOQkJ2AcEIPkVfiskn1tWAW+cf4xOw+6+Cjg1K5XV+9bTjiH8krabBEkgvHP4bU1bisOpaVOqr1pF/FdfcfXT2SQ/GUrlUaOoOHBAvmsDxGjErU8frsyaRUZ0NPbVq5coBk37O7lZi+1/V9OmTdXevXstHUbhHVwKq5833cjsv9x0rf9WSZdhz2fw63xIT+Rs+UZMvfYE89567Ub5hfVHLjFi8X7GtKvFmHbFa8Su3e7IjgvsWnaKOv/wpk3/O1cBzzs8jw2bfibk9ACWNnyb0SHDS1wk7u8yL1zk8pQpJO/ciX1AAJ5vvI5To0Z33TY7Pp6oNo/j1rcvnhMnlGocmnUQkX1KqaZ3e8+qLvvcF3u/gO+Gm+roDFx1e+K/GgVr/gmz6sHuGeD/GAzZyrwaH7PPrtmNxH8lKYMJEUeo7+PCyMfzraChFVH9Nr406VSN4z/EsGft77e9dz3zOl8e+5JKGd7kksMjgS14qtZT+Ryp+Ox8ffCdOwefjz8iJzGRs0/349Lk18m5du2ObY3u7lTo0IHEiIgi3TDWtMLQyb80/fwprH0RanWAfsvBLq841/k9sKw/fNIMDi2DRgPghX3QJxx8m5KamYNj3mUdpRSvrTpCSmYOM3o3wLYUipRpN7XoWp3arbzY+/0fHN11s5p4+PFwkjKTcEp1Jd0piX+1nmS28goiQoX27anx/VoqPvMM11au5EznJ0lcvZq//ybu1q8fucnJJEauNUssmvXSmaU0KAU7p8HGCVAnDPosMj3Pf3I9fNERFrSHP36AR8fCi8cgdCa436zZnpqRg3NePZwV+y6w5bfLjOsQQC2PAoqjaUUmIrTpH8BD9d3ZtfQk0QeukJCeQPjxcADc0j3w8/W6rU2juRicnfF4dRz+K1dgV7UqMa+O59z/DSYjOvrGNo6NGmIfGEjCkiV3fDBoWkno5F9SSsHWN2H7VAjqC93mmvrhzm4BS/uaCrh1fM+U9EMmQrk7V2ymZuXgaGfk4rU03oo8TnP/ijzb2sw3pK2YwcbAE0PrUeWhCmxacIyFW5aTkpVierIp0xsvn6K1YSwph8BAqi1dguebb5J+4gTRYd2ImzWL3PR0U72ffk+TcfIkaQcO3Ne4tLJNJ/+SyM2FDePhh5lQtwdUDoCPGsGaUWC0h54L4J8HIHg42OffWD01IxtHWwNjvz1ErlJM79XA/E/XWDlbOxtCRzbAqaItar0Pbqle9PUbgMqS25q23y9iMODWpzc11q/DpXMn4ud+RnSXriTv3o1LaCiG8uVJWLL0vsellV06+RdXbg6sHQ2/zAWD0dR3d+ubUCUQBkbAsN1Q/6kbXajuJTUzh/3nrvHTmXgmhda5UUBNMy+HcrbEttlDtiGTbidH0d3J1EzepYrl/v2N7u54v/cefgsXIkYj54c+R8yEiTi3asX1jRvJvnrVYrFpZYtO/sWRkw0Rw2D/16bXSsHDHWHYLlOlzhohReqYlZqZTWZ2Lm0CKtO3WdWCd9BKRWxKLMsuhrMjKBxnKrAz3FSHxxIz/79zDm6B/+rvqDxmNMnbt5O0caOu96OVKp38i2PTJDjyLdg6QYvhpks7Ty0ArwbFOlxaVg4ujra81zNIN/C4jxYdX0RWbhbjOo4m9PkGiAgGG6F8xdItjV1cBjs7Kg0fTvXINTjn9Ti+tmKlhaPSygqrWuFbanyamBqnNHnm7it3i2jYozUI9CqPR4X/jaRjLZp6NqWGaw3aVG0DQOcR9Ym/mFIqPYBLk52fH1U//4ykjZvIiD5j6XC0MkKv8NU0TSuj9ApfTdM07TY6+Wuaplkhnfw1TdOskE7+mqZpVkgnf03TNCukk7+maZoV0slf0zTNCunkr2maZoUeiEVeInIFOGvpOApQCbCGqlvWMk6wnrHqcZYtt46zmlLqzjryPCDJ/0EgInvzW0lXlljLOMF6xqrHWbYUdpz6so+maZoV0slf0zTNCunkX3o+t3QA94m1jBOsZ6x6nGVLocapr/lrmqZZIT3z1zRNs0I6+WuaplkhnfxLkYhME5ETInJYRCJExNXSMZmDiPQSkWMikisiZe7RORHpKCInReS0iIy3dDzmIiJfiEiciBy1dCzmJCJVRWS7iBzP+7kdbemYzEFEHERkj4gcyhvnm/faXif/0rUZqKeUCgJOAa9ZOB5zOQr0AHZZOpDSJiI2wKdAJ6AO8LSI1LFsVGazEOho6SDug2zgZaVUHSAYGFlGv6cZQIhSqgHQEOgoIsH5bayTfylSSm1SSmXnvfwP4GvJeMxFKfWbUuqkpeMwk+bAaaVUtFIqE1gGhFk4JrNQSu0C/rR0HOamlLqklNqf93US8BvgY9moSp8ySc57aZv3J98nenTyN59ngfWWDkIrMh/g/C2vL1AGE4W1EpGHgEbAL5aNxDxExEZEDgJxwGalVL7jNN6/sMoGEdkCeN7lrYlKqdV520zE9Kvm4vsZW2kqzDg17UEiIuWAlcAYpdR1S8djDkqpHKBh3v3GCBGpp5S66z0dnfyLSCnV7l7vi8hgIBRoqx7gRRQFjbMMuwhUveW1b97faQ8wEbHFlPgXK6VWWToec1NKXROR7Zju6dw1+evLPqVIRDoC44CuSqlUS8ejFcuvQC0R8RcRO6AvsMbCMWklICICLAB+U0rNsHQ85iIilf96wlBEHIH2wIn8ttfJv3R9ApQHNovIQRGZa+mAzEFEuovIBaAl8L2IbLR0TKUl74b9KGAjphuDy5VSxywblXmIyFLgZyBARC6IyP9bOiYzaQ0MBELy/l8eFJHOlg7KDLyA7SJyGNMkZrNSam1+G+vyDpqmaVZIz/w1TdOskE7+mqZpVkgnf03TNCukk7+maZoV0slf0zTNCunkr2maZoV08tc0TbNC/wWVX4iWZQ/l0AAAAABJRU5ErkJggg==\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "# built a class of LinearRegression with its self defining constructor\n", - "\n", - "class LinearRegression:\n", - " # As soon as the obect is creacted this constructor function calles itself, \n", - " # for initializing the parameters.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " self.learning_rate=learning_rate\n", - " self.n_iters=n_iters\n", - " self.weights = None\n", - " self.bias = None\n", - " \n", - "\n", - " # fit function uses optimization technique called gradient descent approach to recompute the weights and bias\n", - " # for n iterations. \n", - " def fit(self, X, y):\n", - " n_samples, n_features = X.shape # n_samples = 100 , n_features = 5\n", - " self.weights = np.zeros(n_features) # create a 0 matrix with dimention (5,)\n", - " \n", - " self.bias = 0 # assigned bias to be zero for this case\n", - " \n", - " for i in range(self.n_iters): # iterating for 1000 times for computing derivative and updating paameters\n", - " y_predict = self.predict( X )\n", - " del_weight= - (2 / n_samples) * np.dot( X.T , y - y_predict ) # will give 1 D array of 5 columns\n", - " del_bias = - (2 / n_samples ) * np.sum( y - y_predict ) # will give a single value\n", - " \n", - " self.weights = self.weights - self.learning_rate * del_weight\n", - " self.bias = self.bias - self.learning_rate * del_bias\n", - "\n", - " \n", - " def predict(self, X): # for returning y_predicted value\n", - " return np.dot(X , self.weights ) + self.bias\n", - " \n", - "\n" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 3, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "regressor = LinearRegression() # created an object \"regressor\" of class LinearRegression\n", - "regressor.fit(X_train, y_train) # object \"regressor\" is envoking function fit for X_train, y_train datasets\n", - "\n", - "predictions = regressor.predict(X_test) # the predicted values of X_test is been stored in variable predictions" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 17, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred): # mean square error is used to evaluate your model correctness.\n", - " return np.mean((y_true - y_pred)**2)\n", - "\n", - "\n", - "def r2_score(y_true, y_pred): # R2_score is also used to evaluate the model correctness. \n", - " # it uses correlation matrix as a mean to find its correlation \n", - " corr_matrix = np.corrcoef(y_true, y_pred)\n", - " corr = corr_matrix[1,0]\n", - " # print(corr_matrix.shape) will give (2,2) matrix\n", - " R_sq = corr**2\n", - " return R_sq \n", - " \n", - "\n", - "mse = mean_squared_error(y_test, predictions) \n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test, predictions)\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "8e61f6d4-bbd5-45ad-c299-3b41d5d35fe7" - }, - "execution_count": 18, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 659.4416574156697\n", - "Accuracy: 0.9695609670736954\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**Comparing the r2_score and MSE with built in sklearn functions**" - ], - "metadata": { - "id": "BmMe4PLTdLsB" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn.metrics import r2_score\n", - "from sklearn.metrics import mean_squared_error\n", - "\n", - " \n", - "print(\"r2_score from sklearn - \", r2_score(y_test, predictions))\n", - "print(\"MSE from sklearn - \", mean_squared_error(y_test, predictions))\n" - ], - "metadata": { - "id": "X6x_KQ7i_x8x", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "e4e62bb4-3387-4514-a745-88f49d64ef15" - }, - "execution_count": 21, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "r2_score from sklearn - 0.9376571817229341\n", - "MSE from sklearn - 659.4416574156697\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_200816.ipynb b/Assignment 1/A1_200816.ipynb deleted file mode 100644 index 826720b..0000000 --- a/Assignment 1/A1_200816.ipynb +++ /dev/null @@ -1,290 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 2, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code here\n", - "plt.scatter(X[:,0],y)\n", - "plt.scatter(X[:,1],y)\n", - "plt.scatter(X[:,2],y)\n", - "plt.scatter(X[:,3],y)\n", - "plt.scatter(X[:,4],y)" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "outputId": "40ffcaa7-aed8-4ee5-95d0-efacfaaeee21", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - } - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 3 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000, w=np.full(X.shape[1],0),b=0):\n", - " # Your code here\n", - " self.learning_rate=learning_rate\n", - " self.n_iters=n_iters\n", - " self.w=w\n", - " self.b=b\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " # Gradient Descent code goes here\n", - " entries = X.shape[0]\n", - " feature_count = X.shape[1]\n", - "\n", - " for iteration in range(self.n_iters) :\n", - " prediction = np.matmul(X,self.w)+self.b\n", - " w_derivative = np.full(feature_count,0)\n", - " for feature in range(feature_count) :\n", - " w_derivative[feature] = np.sum(np.dot(X[:,feature],y-prediction)) * -2 / entries\n", - " b_derivative = np.sum(y-prediction) * -2 / entries\n", - " self.w = self.w - self.learning_rate * w_derivative\n", - " self.b = self.b - self.learning_rate * b_derivative\n", - "\n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " # Code goes here\n", - " return np.matmul(X,self.w)+self.b\n", - " #pass # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 15, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train,y_train)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 16, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " return np.sum(np.dot(y_true-y_pred,y_true-y_pred))/y_true.shape[0]\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " sum_square_regression = np.sum(np.dot(y_true-y_pred,y_true-y_pred))\n", - " total_sum_squares = np.sum(np.dot(y_true-np.mean(y_true),y_true-np.mean(y_true)))\n", - " return 1 - sum_square_regression/total_sum_squares\n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "outputId": "d9736135-b2ed-4198-94c5-0edce7b66bee", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 17, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 673.3063809304753\n", - "Accuracy: 0.936346427498015\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_200914.ipynb b/Assignment 1/A1_200914.ipynb deleted file mode 100644 index 230431a..0000000 --- a/Assignment 1/A1_200914.ipynb +++ /dev/null @@ -1,297 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "200914_ Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 2, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "" - ], - "metadata": { - "id": "8sY-H0XoQ5hh" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.rcParams[\"figure.figsize\"] = (12,7)\n", - "x1=X[:,0]\n", - "x2=X[:,1]\n", - "x3=X[:,2]\n", - "x4=X[:,3]\n", - "x5=X[:,4]\n", - "plt.subplot(2, 3, 1)\n", - "plt.scatter(x1, y, c =\"blue\")\n", - "plt.subplot(2, 3, 2)\n", - "plt.scatter(x2, y, c =\"magenta\")\n", - "plt.subplot(2, 3, 3)\n", - "plt.scatter(x3, y, c =\"green\")\n", - "plt.subplot(2, 3, 4)\n", - "plt.scatter(x4, y, c =\"black\")\n", - "plt.subplot(2, 3, 5)\n", - "plt.scatter(x5, y, c =\"red\")\n", - "\n", - " \n", - "# To show the plot\n", - "plt.show()\n" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 428 - }, - "outputId": "185ba1d3-7f40-43d6-882b-49822b457647" - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " def __init__(self, learning_rate=0.0005, n_iters=22000, bias=np.random.random(), weight=np.random.rand(np. size(X, 1))):\n", - " self.learning_rate=learning_rate\n", - " self.n_iters=n_iters\n", - " self.bias=bias\n", - " self.weight=weight\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " num_records,num_features=X.shape\n", - " for iter in range(self.n_iters):\n", - " predictions_y=np.matmul(X,self.weight)+self.bias\n", - " grad = np.zeros(num_features)\n", - " error=y-predictions_y\n", - " for feat in range(num_features):\n", - " grad[feat] = (-2/num_records)*np.sum(np.multiply(X[:,feat],error))\n", - " deltab=-2*np.sum(error)/num_records \n", - " self.bias=self.bias-self.learning_rate*deltab\n", - " self.weight=self.weight-self.learning_rate*grad\n", - " \n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " def predict(self, X):\n", - " predict=np.matmul(X,self.weight)+self.bias\n", - " return predict" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train,y_train)\n", - "\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 5, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " error=y_true-y_pred\n", - " n=y_true.shape[0]\n", - " mse =(1/n)*(np.sum(np.multiply(error, error)))\n", - " return mse\n", - " \n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " #1-ssr/sst\n", - " error=y_true-y_pred\n", - " mean=np.mean(y_true)\n", - " ssr =np.sum(np.multiply(error,error)) # sum squared regression (SSR)\n", - " sst=np.sum(np.multiply(y_true-mean,y_true-mean)) # total sum of squares (SST)\n", - " r2 = 1-ssr/sst\n", - " return r2\n", - " \n", - "\n", - "mse = mean_squared_error(y_test,predictions) \n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) \n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "74d3de71-63d5-449f-d53c-128037cdede7" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 391.0954827735972\n", - "Accuracy: 0.9630263051517128\n" - ] - } - ] - } - ] -} diff --git a/Assignment 1/A1_200988.py b/Assignment 1/A1_200988.py deleted file mode 100644 index 251f88a..0000000 --- a/Assignment 1/A1_200988.py +++ /dev/null @@ -1,78 +0,0 @@ -#------------------------------------------------------------------------------- -# Name: module2 -# Purpose: -# -# Author: asus -# -# Created: 09-06-2022 -# Copyright: (c) asus 2022 -# Licence: -#------------------------------------------------------------------------------- -from sklearn import datasets -from sklearn.model_selection import train_test_split -import matplotlib.pyplot as plt -import numpy as np - -class LinearRegression: - - # The __init__ is called when we make any object of our class. Here, you are to specify the default values for - # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything. - # Hint: Google what a `self pointer` is and figure out how it can be used here. - - - def __init__(self, learning_rate=0.001, n_iters=1000): - self.learning_rate=learning_rate - self.n_iters=n_iters - self.w=None - self.b=None - - # The following function would be the heart of the model. This is where the training would happen. - # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent. - def fit(self, X, y): - row,col=X.shape - self.w=np.zeros(col) - self.b=0 - for i in range(self.n_iters): - y_pred=np.dot(X,self.w)+self.b - - dw=(2/(row*col))*(np.dot(X.transpose(),y_pred - y)) - db=(2/(row*col))*(np.sum(y_pred - y)) - - self.w=self.w-self.learning_rate*dw - self.b=self.b-self.learning_rate*db - # This function will be called after our model has been trained and we are predicting on unseen data - # What is our prediction? Just return that - def predict(self, X): - - y_pred=np.dot(X,self.w)+self.b - return y_pred -# Generate the data -X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4) - -# Split the data -X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234) - -# Now, we make an object of our custom class. -regressor = LinearRegression(0.0118) # You may pass the custom parameters or let the default values take it ahead - -# Call the fit method on the object to train (pass appropriate part of dataset) -regressor.fit(X_train,y_train) -# Now, let's see our what our model predicts -predictions = regressor.predict(X_test) # pass appropriate part of dataset - -def mean_squared_error(y_true, y_pred): - # return the mean squared error - return np.mean((y_true-y_pred)**2) - -def r2_score(y_true, y_pred): - # return the r2 score - return (np.corrcoef(y_true,y_pred))**2 - -mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset -print("MSE:", mse) -accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset -print("Accuracy:", accu[0][1]) - -Y=regressor.predict(X) -plt.plot(X,Y, 'o r') -plt.show() \ No newline at end of file diff --git a/Assignment 1/A1_200995.ipynb b/Assignment 1/A1_200995.ipynb deleted file mode 100644 index fdc3170..0000000 --- a/Assignment 1/A1_200995.ipynb +++ /dev/null @@ -1,299 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Untitled3.ipynb", - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "id": "yS5ybtUOyIOh" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ] - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "from sklearn import metrics\n", - "from sklearn.linear_model import LinearRegression" - ], - "metadata": { - "id": "rzJuDxRQzao_" - }, - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "print(X.shape)\n", - "print(y.shape)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "7doKt3wgPT0O", - "outputId": "85ce117e-e8a2-40fc-b5ad-4c325b9725f9" - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(100, 5)\n", - "(100,)\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "for i in range(5):\n", - " plt.scatter(X_train[:,i],y_train)\n", - " plt.scatter(X_test[:,i],y_test)\n", - " plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "ibqL_ijR2ExX", - "outputId": "486aba7d-92fb-4df7-c3d1-cbdec7e07cf3" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" 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\n" 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\n" 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k2uOjWfD1oMz2DHV5I/poYZHnZza21UYi9t8/xPdLiO0dLgYwZWbPmdnLAHYD2OhpLFErqz1DnUpKfbSwyLPOENraRNVi/v1jfL/4SvsMA+isRZsG8J7OB5DcAmALAJx//vnVjSxCZbRnKLPPvw9Vt7DIs87Q7b6ZYyexcuv9tb+ubWhrM1nE+H4JdsHXzHaZ2aiZjS5fvtz3cBon5jdiCLJU9LR3bC+WgI1hNllE6VVQJYrx/eIr+M8AWNHx/UhyTAIR8xsxBP1W9HSmC/oRSxokj5gvEBPj+8VX8H8MwGqSq0ieBeBqAHs9jUVSxPxGDEG/6wz9tICeL+TZZBExtxeP8f3iJedvZqdIXgdgH1qlnreb2WHXPyfE1fdY6EpN6bK8pvpZZ8gTyEOeTRYVa3vxGN8vte3tE3vZmISnjNdUtz4/BFLXAIr8PE2GmifEUs/SxVw2JmEq4zXVLV3wd0knUKDVtA8olgaJsRSxak1rlV7bxm4xrr5L2Mp4TVWVLoixFLFKRZv/xai2wd/Xln4pRwgpi7JeU1XkuTUZ6q2JH461TfvEuPou6UJJWcT8mnJdili3FEkTPxxrG/xjLhuTuUJZv4n5NeXygyuUD2OXYqzTL6q2aR8g3rIxmSukWVmsrymXawt1TJHcsOGC1EquGM7q8qp18Jd60PqNG64+uEL6MHYlxjr9ohT8JXhNnJWlmhwPokd/XT+MYz2ry6u2OX+pj9hy7aUshk6OA/ddn1yY3Vq3913fOl6xmBe+5Yza7vAV8aG0neW3XZQE/nmWrWhdKzrD+FykNnL/O4GcvTRFrx2+SvtIUEKo5y+itMXQ49PZjqdwuZEpV4qkffYym6SM2mcvgD4APFDaR4JRhxLC0hZDl41kO57Ce8ns/lvOBP622ZOt41I5BX8Jhvfg5EBp9eLrtwED8/6NgcHW8T55r9JxcPYi7ijtI7mUkZ7JE5zSxgH4K9krrTKpnRYpkC/PU6Xj9P952UiXdYv+z17EHQV/yaysJlhZg1PaOG74r18ABsy+Yk7H1q9S68XXbC6UG8/6weT8/3n9trk5fyDz2Yu4o+AvmZW1qPn+ty3HnY/+75w+9r2CU9o4Zk8vrF6revdpqPXiWT+YnP8/Ozh7EXcU/CWzMnLHew7N4O6DM3MCPwF89N3dA2mWnxfz7lOXsnwwlbJGUPDsRdzRgq9kVsaiZtos0wA89PTRzOMo+lhp6facLSGjqsCSdAr+klkZOzzzzDLTxjGwlBhYQqdja6q05xcATptFV4IrCyn4S2ZltFvIczaRNo4dH3sndnz8ndG0gghZ+/ltX0ayU2wluLKQ2jtIEEpriyCFrdp6f+rF5Ang12Mfqno4kkEjL+AuEZkcx6b/2YAnl16NR1/3OWxc8rBm7AFp4oVOmkDVPuJXR78XAjgXR/HVv/h34INrgTWX+B6doB4ttWPvGVUGzfzFL/V7CV5sLbXnq0PPqDJo5i9+1bjfS51mm6FuXOtHHS876YKCv/hV034vZbXAqIsqPxi9N7QLlNI+4peDbpUhqkOH0rJUnYbRgnU6BX/xa81m4IqdrStSga3bK3ZG3wJAs83uqv5g1GUn0yntI/7VsN9LXS9y7kLVH4yldlqNmIK/SAnqUB5ZFh8fjDEvWJelUNqH5MdJHib5CsnReffdRHKK5DMkN3Qcvzw5NkVya5GfLxKq2Msjy6Q0TBiKzvyfAHAVgH/rPEjyQgBXA3g7gPMAPEjyrcndXwdwGYBpAI+R3GtmTxYch4h3aRUsj2zVRrX5lIYJQ6Hgb2ZPAQAXNn7aCGC3mf0ZwK9JTgG4OLlvysyeS/7e7uSxCv4SNZV2ZqM0jH9lVfsMA+gs3p5OjnU7vgDJLSQnSE4cPdq9p7tICFTaKbFZdOZP8kEA56bcdbOZ3et+SC1mtgvALqDV1bOsnyPigko7JTaLBn8zuzTHvzsDYEXH9yPJMfQ4Lr5Njuv6qjmptFNiU1baZy+Aq0m+luQqAKsB/AzAYwBWk1xF8iy0FoX3ljQGyaLdXfP4EQDWur3v+tbxHvYcmsG6sQNYtfV+rBs70NhmWapgkdgULfX8CMlpAO8DcD/JfQBgZocBjKO1kPvfAK41s9NmdgrAdQD2AXgKwHjyWPEtR3dNdUs8Q6WdEhtdyUtatg8B3a7XtP1Y6l9ZN3YgNdUxPDSoEscS1KlLqFRDV/KSxXXrotmju6YWOaujsyxxTcFfWnJ012x0t8TJceC2i1pnTLddtOjaSFEqJRXXFPylJUd3zcYucuZcHC9CZ1nimhq7yRkZu2s2dpt+r8XxkkpjVUoqrin4SyGN3Kbv4dKT6hIqrin4i2Tl4dKTjT3LktIo+ItXUZYvrt/WyvF3pn4quPRkI8+ypDQK/uJNtJ0w23l9tcKQiCn4ize9yheDDv6A80tP5j4DUj8myUnBX7xR+WJL7jOgdslpO/3ULjkF9AEgi1Kdv3jT6E1iHXJv4MrRj0mkTcFfvGnsJrF5cp8BeSg5lfpQ2ke8Ca180VflUe4NXB5KTqU+FPzFq1DKF31WHuXewOWp5FTqQWkfEfhtnJb7WgA5+jGJtGnmLwL/lUe5z4Acl5xKc2jmLwJVHknzKPiLQJVHbbomc3Mo7SOC8CqPfIi23YbkouAvkgil8siXqNtt1FDZpccK/iICwP+it5xRxVmYcv4iAkCL3iGpovRYwV9EAGjROyRVnIUp7SMSmbJywVr0DkcV12xW8BeJSNm54KYveoeiims2K+0jEhGfbSikOrlbfmSgmb9IRFSR0xxln4Vp5i8SEVXkiCsK/iIRUUWOuFIo+JPcQfJpkpMkv09yqOO+m0hOkXyG5IaO45cnx6ZIbi3y80WapopcsDQDzSz/Xyb/FsABMztF8l8AwMy+RPJCAHcBuBjAeQAeBPDW5K/9CsBlAKYBPAbgGjN7stfPGR0dtYmJidzjFPHJ1xXCREgeNLPRtPsKLfia2Y86vn0UwMeSrzcC2G1mfwbwa5JTaH0QAMCUmT2XDGx38tiewV8kVmqWJqFymfP/NIAfJl8PA+i8uOh0cqzb8QVIbiE5QXLi6NGjDocpUh2VZkqoFp35k3wQwLkpd91sZvcmj7kZwCkAd7oamJntArALaKV9XP27IlVSaaaEatHgb2aX9rqf5KcAfBjAejuzgDADYEXHw0aSY+hxXKR2qtimL5JH0WqfywHcCOBKMzvRcddeAFeTfC3JVQBWA/gZWgu8q0muInkWgKuTx4rUkkozJVRFd/h+DcBrATxAEgAeNbN/NLPDJMfRWsg9BeBaMzsNACSvA7APwFIAt5vZ4YJjEAmWmqVJqAqVelZFpZ4iItn1KvXUDl8RkQZS8BcRaSAFfxGRBlLwFxFpIAV/EZEG0sVcJGhqiiZSDgV/CZaaoomUR2kfCZaaoomUR8FfgqWmaCLlUfCXYOl6tSLlUfCXYKkpmkh5tOArwVJTNJHyKPhL0DatHVawFymB0j4iIg2k4C8i0kBK+4jUiHZES78U/EVqQjuiJQulfURqQjuiJQsFf5Ga0I5oyULBX6QmtCNaslDwF6kJ7YiWLLTgK1IT2hEtWSj4i9SIdkRLv5T2ERFpIAV/EZEGUvAXEWkgBX8RkQZS8BcRaSCame8xLIrkUQC/8T2OxNkAXvI9CI/0+zf79wf0HMT0+/+VmS1PuyOK4B8SkhNmNup7HL7o92/27w/oOajL76+0j4hIAyn4i4g0kIJ/drt8D8Az/f7S9OegFr+/cv4iIg2kmb+ISAMp+IuINJCCf0Ykd5B8muQkye+THPI9pqqR/DjJwyRfIRl9yVu/SF5O8hmSUyS3+h5P1UjeTvJFkk/4HosPJFeQfIjkk8nr/3O+x1SEgn92DwC4yMzWAPgVgJs8j8eHJwBcBeDHvgdSFZJLAXwdwAcAXAjgGpIX+h1V5b4D4HLfg/DoFIAvmtmFAN4L4NqYXwMK/hmZ2Y/M7FTy7aMARnyOxwcze8rMmnZV8IsBTJnZc2b2MoDdADZ6HlOlzOzHAP7gexy+mNkLZvbz5Os/AXgKQLQXT1DwL+bTAH7oexBSiWEARzq+n0bEb3wphuRKAGsB/NTvSPLTlbxSkHwQwLkpd91sZvcmj7kZrdPAO6scW1X6eQ5EmojkGwDcDeDzZvZH3+PJS8E/hZld2ut+kp8C8GEA662mGyUWew4aaAbAio7vR5Jj0iAkB9AK/Hea2T2+x1OE0j4ZkbwcwI0ArjSzE77HI5V5DMBqkqtIngXgagB7PY9JKkSSAL4N4Ckz+4rv8RSl4J/d1wD8JYAHSD5O8l99D6hqJD9CchrA+wDcT3Kf7zGVLVnkvw7APrQW+sbN7LDfUVWL5F0AfgLgApLTJD/je0wVWwfgEwAuSd77j5P8oO9B5aX2DiIiDaSZv4hIAyn4i4g0kIK/iEgDKfiLiDSQgr+ISAMp+IuINJCCv4hIA/0/iGGwnr0CfRUAAAAASUVORK5CYII=\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " self.l_rate = learning_rate\n", - " self.n_iters = n_iters\n", - " self.weights = None\n", - " self.bias = None\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " # Gradient Descent code goes here\n", - " ns, nf = X.shape\n", - "\n", - " self.weights = np.zeros(nf)\n", - " self.bias = 0\n", - " for _ in range(self.n_iters):\n", - " y_pred=np.dot(X,self.weights) + self.bias\n", - " dw = (1/ns)*np.dot(X.T,(y_pred-y))\n", - " db = (1/ns)*np.sum(y_pred - y)\n", - "\n", - " self.weights = self.weights - self.l_rate*dw\n", - " self.bias = self.bias-self.l_rate*db\n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " # Code goes here\n", - " y_calc = np.dot(X,self.weights) + self.bias\n", - " return y_calc\n" - ], - "metadata": { - "id": "7idxQG7eUayB" - }, - "execution_count": 20, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "regressor = LinearRegression(learning_rate=0.01, n_iters=1000)\n", - "regressor.fit(X_train, y_train)\n", - "predictions = regressor.predict(X_test)" - ], - "metadata": { - "id": "fG0kgp5dlaCA" - }, - "execution_count": 21, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " return np.mean((y_true-y_pred)**2)\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " corr_matrix = np.corrcoef(y_true, y_pred)\n", - " corr = corr_matrix[0, 1]\n", - " return corr**2\n", - " \n", - "\n", - "mse = mean_squared_error(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "kT3ZSCVSkzfX", - "outputId": "40de14f7-11cd-4972-d79b-ce32e76a3ffe" - }, - "execution_count": 22, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 390.6026570894989\n", - "Accuracy: 0.9637788781894968\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "y_pred_line = regressor.predict(X)\n", - "cmap = plt.get_cmap(\"magma\")\n", - "fig = plt.figure(figsize=(15, 10))\n", - "for i in range(5):\n", - " m1 = plt.scatter(X_train[:,i], y_train, color=cmap(0.8), s=10)\n", - " m2 = plt.scatter(X_test[:,i], y_test, color=cmap(0.5), s=10)\n", - " plt.plot(X, y_pred_line, color=\"black\", linewidth=0.5, label=\"Prediction\")\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 592 - }, - "id": "Kqn8ITC_kuVk", - "outputId": "32e01a68-0a9d-438b-89e6-60e599cc1089" - }, - "execution_count": 19, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Taken reference from : https://github.com/python-engineer/MLfromscratch" - ], - "metadata": { - "id": "VznJ9FQxj7cs" - } - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_201043.ipynb b/Assignment 1/A1_201043.ipynb deleted file mode 100644 index 418a338..0000000 --- a/Assignment 1/A1_201043.ipynb +++ /dev/null @@ -1,330 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "corr=np.corrcoef(X_train,rowvar=False)\n", - "plt.matshow(corr);\n", - "\n", - "\n", - "\n", - "# Your code here" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 275 - }, - "outputId": "ea3b9540-2920-4958-f59a-740b3939b57c" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": "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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000,w=np.random.rand(X.shape[1]),b=1):\n", - " self.learning_rate=learning_rate\n", - " self.n_iters=n_iters\n", - " self.w=w\n", - " self.b=b \n", - "\n", - "\n", - "\n", - "\n", - " #pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " \n", - " n=X.shape[0]\n", - " feature_count = X.shape[1]\n", - " for i in range(self.n_iters):\n", - " pred=np.matmul(X,self.w)+self.b\n", - " #error=np.sum(np.dot(pred-y,pred-y))/n\n", - " derivative = np.zeros(feature_count)\n", - " for j in range(feature_count):\n", - " test=np.dot(X[:,j],(y-pred))\n", - " derivative[j] = -2*np.sum(np.dot(X[:,j],(y-pred)),axis=None)/n\n", - " derivative_b=-2*np.sum(y-pred)/n \n", - " self.w=self.w-self.learning_rate*derivative\n", - " self.b=self.b-self.learning_rate*derivative_b\n", - " \n", - " \n", - "\n", - " # Gradient Descent code goes here\n", - "\n", - " #pass # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " # Code goes here\n", - " return np.matmul(X,self.w)+self.b\n", - " \n", - "\n", - " #pass # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "\n", - "\n", - "# Now, let's see our what our model predicts\n", - "regressor.fit(X_train,y_train)\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " return np.sum(np.dot(y_true-y_pred,y_true-y_pred))/y_true.shape[0]\n", - "\n", - " # return the mean squared error\n", - " #pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " rss=np.sum(np.dot(y_true-y_pred,y_true-y_pred))\n", - " tss=np.sum(np.dot(y_true-np.mean(y_true),y_true-np.mean(y_true)))\n", - " return 1-rss/tss\n", - "\n", - " \n", - " # return the r2 score\n", - " #pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "23cb6ae7-119b-4f78-ea4e-13d6821359c9" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 655.5771899128939\n", - "Accuracy: 0.9380225238158303\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "np.mean(predictions)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "9iIzQNJm2iB9", - "outputId": "8f7d257c-0a5b-451c-ddb1-88e25caeb077" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "38.07692227576615" - ] - }, - "metadata": {}, - "execution_count": 45 - } - ] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "dUQREbqRJU67" - }, - "execution_count": null, - "outputs": [] - } - ] -} diff --git a/Assignment 1/A1_201138.ipynb b/Assignment 1/A1_201138.ipynb deleted file mode 100644 index da8bb5c..0000000 --- a/Assignment 1/A1_201138.ipynb +++ /dev/null @@ -1,281 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "[SELF] CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 40, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.subplot(2, 3, 1)\n", - "plt.scatter(X[:,0], y, c ='blue')\n", - "plt.subplot(2, 3, 2)\n", - "plt.scatter(X[:,1], y, c ='green')\n", - "plt.subplot(2, 3, 3)\n", - "plt.scatter(X[:,2], y, c ='red')\n", - "plt.subplot(2, 3, 4)\n", - "plt.scatter(X[:,3], y, c ='violet')\n", - "plt.subplot(2, 3, 5)\n", - "plt.scatter(X[:,4], y, c ='black')\n", - "plt.show()\n" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "3a1b4f4d-9b9e-457a-d64d-e2f6b33feb23" - }, - "execution_count": 41, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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Im5honH4Ir4VRoWAthvIc6eOnNN22byB8K8ViZxF3XHkHTp87HWnMDFYq9Za305sQJvzRecEfP249nCYWm6D2zULBuokECeHU4VQmunGYRDAlQNspf5PSyFu2qHeJi4vePoAk4+iDmmicYwHq/57FRevmkLfWjG5MlaYz9NMUO17fvqlM/mwy1I7BiZeNP9ck3aYuyOTp6rImx2OPeafVm/gcACsvwK+1Y0r217ZT/n5ZrtWqJXu/XaIdu+/GHQXkVPxhnb5hTTT2WMrl9ov2CUIQU0+BCiAQ1l20DhO3TSzfVKJmyapMPm1D0m3qgkyeCy+0Jo7Xd5fL/j4Hm+np8zeyjKXYt53y91udq65DHdPT1jl0EUPuXezoaDi7f9TdQ7u0ZgxLEMW9yIsNiWFxRAfpTD5tQdIXqJdDzo1tgvH6btuRrNtau7FvZBlLsZckLxdh6zY5k6bsXayq4CBgXQdB8lSi5n7EUdDNpmWSgQLgVcGzt6sXR2aOoIM6lBFAF3ReAAZHNvkQCI/d9lhqN4BU5RrnBaqjWrVCMd0ROSqI9NUUL7jAMuU4MUk8i6s6Y0AkySsAYc1vzl2qbhe7fft5U8zEhNlixCTBy4+M7TYzxc6v7MQrJ19pOF7sLGL0xtFln8ESqyfuqYVTkRU/YK3827ZdYzMu0EoF+PznzSYds7eidm/pTVZyGYyrzqXyj1I3KUpOiF2zSXctzM5apULsnYEzKVC3a5ycDDcWJxnbbWaGnV/ZiYf3PqxU7GfOnakrpNaMpKrMVtdMmmZdoJWKFREUxdpx6lS9Y/quu/w/EzaOP+ECcLkz+3iZXEyvpbC9G0ol4PRpb59BoQCsW2du9klpt6glT2afFX+zwiiZy68hiwkFKmCJl9C/ql9bCyiOhi1hyZNcjVixIlhTliiUStZNJwhxKDJk1OxDRDcQ0UtEdIiI7o3rvHEEDpjGyzux3+PnLF5cDFa+OYO7RU+SkmsSmGbxzi3MYWzfGLoL3aG/a4mXlkNOR28cbbms3czJtVq1Wt/Z9vm+vmAr4/e9L7GhNRAmjj/pCCikpPyJqADgcwBuBLAewMeIaH0c5447cEC1I52YsB7uXaqqWF8UikXL5h/nzi/JnWSSck0CZ219PxZ5EWcXz4b+rjU9a5bLSw8/P4yhq4ZaJmu3KXJ1Xph9fdbDq/jWnXfWT7jpacsEY3JBV6vAt78dbHxEVrG2MMRZeCvGEL20Vv7vAnCImV9m5nkAjwO4NY4TB82jMFGGqth91THTvA8v7OTCctnKwh0fjy/3JelcGiQo1yTYtnFb7Ocs9ZQaVvVdhS6cPHuyrn/A+A/HMbJ5pFWydpOVq/vCnJ62Hl7Ft1RRO/PzZivjIPHcNsxAd3dwh2BYx3UTEsLSUv5rAThDLF6tHVuGiLYR0V4i2nvs2DHjEwcJHAirDO0bBpFlOrRj/eMwIS4tnb+hTE7Gu/Nrwk7SV65AeNnGze6bdmPHph2BdgB+nDh9oq5jV4EK6OzoxMJSvbKyy0u3CMnK1U8Zmxbf8nsNMI/OUTE93WgG2LFDn7xDFL6OShMioDIb7cPMY8y8iZk3XXLJJcafCxI4EFQZ2mZGZ/ctW+FPTXnneZgWFTQpBRJ255eVZK+wsg2KX6tGwLoBnPurc5Gbo9us6VlT17FrkRdxakFd1Clv0T2h5WpyAZoU3/J7zV7thcWexM4t/+7dwKOPqrf9zJbyCWNjbUIEVFrK/yiAyxy/r6sdiwWvEgtOgihDVXimG6/AKZOgKveNPe6dXxN2konKNQiqVo13fulO9N3fp70ZRK3KaZt7TOP+W6gmf7JyNbkAne8ZGVHXR+/qqp9Abpvurl3Rui4xq1eGlYo+JM+vIJgXpoosJGkp/+8CuJyI3kZEXQA+CuCpZg8iiDIMYib0Kgao2wGodohx7/yasJPMhFwBdb2ehaUFTJ+eDtW314SxD43hxGmzyI6sR/e4SFaufsk17otUlbBVKlkrcHsCqWy6cURk6FaMJjewjBXUSkX5M/M5AJ8A8CyAHwPYw8wHmz2OIMrQ1DRSKnnH5TPrd4juhK64d35J7ySzIlfAzKTitrubKm4V5VVlVDZUPFfz7kqgGXfyLpO4XIPU5nd+xk7YmpiwInG2bj0fKTQ4mExvVZ2SN80OzVBBrdRs/sw8ycy/wcxvZ+ZUlkB2kx9bGbvr3Dt3jSalvQsFdaMeNzrHsOq6iHvnl/BOMhNyBcxNKs6bRBQzzOz8LKoHqp79dxd5sa6hjAoTP0UaJC5Xk9r8qtA8XaRQEnhtk027KWUocSezDt9mYJdvtpWxs869+5oyieRhVjfqcdMC10XLY9IEHahX+CObR0AI1+5v+vQ0tn3ZciZ69d/1ivJR+SniNk21LLrQvKh2fC+6uvx3IE78skMzVlArl8rfNJHJK9onTCiwSRmGYtG6ZoOEoyZY3iNXOFfNw88PY2DVQN3r7rLLbrt7ZUMF2zdtD30DsBW73URGdx57t+Fe5e96ZleDn6LFQkKTQzdZ41zlu5X9o4/qu4Pp2LnTiv8eHATOnLGqgGa0oNaKtAcQN+6SGPYCAWj8vzc79NE2K+3eDbznPefrB/X3ny8R7iTI39Lu2KtmW3mqSjQv8RJ6u3pxav7UciN3t/ll90278Z7+92DXM7uU9Xf8cJuRVOPoX9VvNF7VOduWpG3lpZLVcCPKxNq5E3jYUf9packqBLdjhzXpM0buVv5BYve9on2SMME4zUomtvcmJGXlBtNuXKcXThtl1Ybtx+s2I+lq+ATpHtZCIaHJkbRN9HS0/ssAzjfsMD2eMrlS/l7Je6qFg1e0T5TSzjYq234Q5Z2VpKxWwHR1bFLMLYhidkIgTM1MLTtqvZrIm463xUJCkyPIhLzgAuunaWYlYD4xveywOsdgs6qHBiQ3yt8veU+1cPAKfTR13usol/U+gKkpM/t9xvo9ZxrT1bFJKQcvxez1eYaVyed01OqayOvGW+optUzBt6ZiT0iTidjXZzmFH3usfnL7NXIxKQ3hVQ9GN7Y4in4lQG6Uv5eD1suZ6mV3d5pmgtTUt79vzRr9e0wS/qQDlzmm0T3vG3if73t0irm8qqzt6OXGz1GrMwk5u4e1QMG35lKpWJPGb0VvK3G3bfWOO7w/Z8d061ZmfnZY3eozSkmJBMmN8ve6aauc7EGLunmttlU5KYB/zL/fTlM6cJnjNLF48e1Xv+0bOrnlcnXvzC2Xbwlkf/faQXiZhAQNdmy2X60U3WT1a4vnV4rBzw67e7fl3HUmDmXU2QvkqJNX0B7QQd8ftLGOSU9nIHuduvxohY5PHZ/pWDbBqPDrmKVr6F5eVcbI5pG6KB3AsvWrvi/NzlxBaQW5Gk0qr0nZ0RGshaNbGQRVGhkgk5284iaoiSSoMzXoKtzUKWtqv5d4/0Z02bB+q3M/Z6vu9SMzR5Qr9u2btrdcZ66WxGtSqSale9J42WFNvi9ndtjcxPnb8vaLnbfp71ffxL2Use0INkF3fiem143E+zeiipO3M2xVq3MnfjcHr/h8wDLZuM0z7+l/D4afH8aRmSPaHAIhIrpJpVp5qyZNV5dVDdTZCKZYBHp61MlibmUQVMlknFys/O0b/Nat1u+PPeafkKe6iROZR+L4oTp/0GxxG4n3b0QVjunMsB370JiyRHNXoQuz87OetXO84vN1uw1dVI8QI0FW3qpJMz8PXHRRfdRPT4/lCDY9b6ViHe/vt24Aw8Mtuw1veeUf1HHrvFH09Jy/DojOmwPjaG+oMhOFyRYHJN5fhZdpBrCU8fF7jmPitollE02ppwRm9i3rrHPGAsBdT95VV3vnrifvkto7zaSn5/zzUkm/gtJNjunp+oSu6WnLiTw0ZGbTbUIv1GbR8so/yKpYVQDwRK2Kr9sPFMfKOq4KmhLv34jOdGMft1foW5+wtoOP3fYYert6jdspqlbyu57ZhfnF+sp984vz2PXMrjj+JMELVTclr6xc3eQoFNQKY3Ly/GQdGbEmv8rBlqNteMsr/yCrYpXcvJz/WVlZ58zPFAt+phlVdUxd/RzTbFtdrZ8wNYCEgARVurpJ41dP3W9ln6NteMsr/yCr4qDyycrKWuL9G/GKk9f5A9xVPW2kdk4LEFd4XlmTB8Ksb/XovMnkaBve8so/yKo4iHyirKyTCMtMuglLK6JzsupW8qrs3BUdK4xDMnU9fi/ovMBwxEIgqlWrVIPTIefGLzzPPWm8agR5tXq0bzI52oa3vPIPsio2rQ0VZWWdI39QyxJkJX9u6Zzxe0dvHEWHYsosLC2I0zduqlXgzju96/WHUbpOhREE+yaTo214yyt/wHxVbFobKsrKWmeaHBqSBK1mYVrnx2bwiUGjlomVDRWs7lndcHx+cV4arugIuw0eHq6Px3cTRenaCsO06qeqgXwOtuG5UP5BqFS8yykEXRC40Zkg/cqGCPGh8gfoTDY2pi0TdU3epeGKgijbYL9s3jiUrs5kVCrlYmXvR9spf0AvcyLvXaTJIsbEr9CikWEthdsfMHrjqG97RpOWiX4hpoKDKGGRXhMpLueqzn4/OpqLlb0fban8ddm927fr5ey1iHHeFGZnrUxeP1owMqxp6LJoo2Dan9ernSLgHWIquIgSFjkyorfPblFXXfVEtXLLkf0+FMyc+cfGjRs5biYmmMtlZiLr58SE9/vLZWZL7dc/SiXmYrH+WGendZyIuVBQf65cjv1PagoA9nKCsp3YP8HFkSLj01h+FEeKPLHfR0CGTOyf4PID5brzOx+FzxSMz0GfJi4/UI5tbGmSiFx1k8b04i+V4pk8ExONk7RY9J/0OcBLrm258gf8fTbuhYKuSNv0dOPOdmEB6O21zj0+npvIsESxV/uDTwxqa/bEgW0O0mHS5lHq+BgSNSzyhNq/EnjbbGp+arPSuW2r/L1QmXiCtAMF6psJtfPO0gRnRq6OuB2quqYvfs1ghABEvfjjSqgyMT+1YYy2KH8FujIQ7htAsahvC+q8PnMSGZYYJg3T43aoiu2+SUS5+ONKqDK5ieSoZo8pkZQ/EX2WiH5CRPuJ6ItEdLHjtT8nokNE9BIRfdBx/IbasUNEdG/Q72zGzky3UGBuXMSMjubPrPNnf/Zn+M3f/E284x3vwEc+8hG88cYbzpffGrdc/Vb1SSjlyoYKhq4aWm7IXqAChq4ayr0Jx0u2Sc3Z0MS1bTap356jmj3G6JwBJg8AHwCwovb8PgD31Z6vB/BDAN0A3gbgPwAUao//APBrALpq71nv9z22U7BZfpugfqqgzuOs8+yzz/LCwgIzM99zzz18zz33MDPzwYMHGcBcXHLlmmy9HLBJOVSTdixnFZ1sAfwoiTmbGexJClgT1a1E4nIuZwwk5fBl5q8xs50f/x0A62rPbwXwODOfZeb/BHAIwLtqj0PM/DIzzwN4vPZeI5q1Mwu628ybWecDH/gAVqywmry9+93vxquvvgoAePLJJwHgRNxy1ZlgJm6bSMyh6tUMJs/oZAvgYiQwZzODPUnLZXX9diB/W3gf4rT53wXgmdrztQBecbz2au2Y7ngDRLSNiPYS0d5jx44BaN7OTJy053n00Udx4403AgCOHj0KAM6C9oHlCjTK1qtCZ1L4NYNpB5yyhbWqj33OZg6dsjhxou0mvW8PXyJ6DsBbFS8NM/OTtfcMAzgHIDYLPDOPARgDgE2bNjEQru9uWIL0621Frr/+erz22msNx0dGRnDrrbcuP1+xYgUqMf8jVLJV9cVNEr8+va1MWrJVyTVzeCmRvE96F77Kn5mv93qdiD4O4GYAm2s2JgA4CuAyx9vW1Y7B47gvIyP1PZmB3O/MEuO5557zfP0LX/gCnn76aTz//POgWpjT2rVrAWuFaBOLXNNA1eQ9L9E+YWQLa0cX+5zNHKJEzqNzBpg8ANwA4EUAl7iOX4l659HLsBxHK2rP34bzzqMr/b7H6TyKw7maNwdt3DzzzDN8xRVX8K9+9au64z/60Y/cDt9IcuWUHYPObN/CZwqJOpizgk62aHT4xjZnMzfhsjaeBIGHwzeq8j8Eyx74g9rjEcdrw7CiBF4CcKPj+BYAP629NmzyPXEqiDbO9Dbm7W9/O69bt46vuuoqvvm+DgwAACAASURBVOqqq/gP//APl1+DZfONRa6cgaiQdov60ckWwN5E5qxMuFTxUv7Ebs93Btm0aRPv3bs3lnPpSjWUy1YwgOANEe1j5k1xnS9O2YZh4MEBpe2/vKrsWQYibyQmV5lwqeIl17bL8G3HXA5Bj0T9JIxMuMzSdso/R/2XhRiQ+vwJIxMus7S88g9a7iFH/ZdzTxJ1/d1IjZ+EyfqEa7NKnnXonAFZeuicgmF9SW3k7I8dJFzP36aZjtg81ucPSqJyzeqEawNntJdcW9rhK76k5tMsh684YptL3hz5RrSBAsmtw1d8SflFHLFC4rS5Amlp5S++pPwijlghcdpcgbS08s+6L0kIjzhihcRpcwXS0spfqm/mlzQqfQptRpsrkJZw+BLRMQC2Z6YPwPEUh2NCnsdYZuZL4hqES7ZeZO1/mqXxxDGWtORqk5X/Z97GoZVrSyh/J0S0N86ohCSQMcZP1sabpfFkaSxhycrf0E7jaGmzjyAIghAOUf6CIAhtSCsq/7G0B2CAjDF+sjbeLI0nS2MJS1b+hrYZR8vZ/AVBEITotOLKXxAEQYiIKH9BEIQ2pCWVPxF9loh+QkT7ieiLRHRx2mOyIaIbiOglIjpERPemPR4nRHQZEX2TiF4kooNEtCvtMQUhC3LPknxbXZ5ORLbLY2ieTHXlPrP8APABACtqz+8DcF/aY6qNpQCrz+mv4Xyz6/Vpj8sxvksBXFN7fiGsvqyZGV/W5Z41+ba6PEW26cq0JVf+zPw1Zj5X+/U7ANalOR4H7wJwiJlfZuZ5AI8DuDXlMS3DzL9g5u/Vnr8J4McA1qY7KnMyIPdMybfV5elEZGvRTJm2pPJ3cReAZ9IeRI21AF5x/P4qMjoZiWgAwDsBvJDuSEKThtwzK98cyNOJyBbJy3RFEieNAyJ6DsBbFS8NM/OTtfcMAzgHoI16r0WHiHoB/AuAu5n5ZNrjcSJyD06W5elEZGtOM2SaWeXPzNd7vU5EHwdwM4DNXDOQZYCjAC5z/L6udiwzEFEnrIuqysxPpD0eNxmXe+bkm3V5OhHZmtEsmbZkkhcR3QDg7wH8LjMfS3s8NkS0ApaDZjOsC+e7AH6PmQ+mOrAaREQAxgGcYOa70x5PUNKWe9bk2+rydCKyXR5H02Taqsr/EIBuANO1Q99h5u0pDmkZItoC4EFY0QOPMnNmOkMQ0XsB/CuAAwCWaof/gpkn0xuVOVmQe5bk2+rydCKyXR5D02TakspfEARBiEYeon0EQRCEgIjyFwRBaENE+QuCILQhmQ31dNLX18cDAwNpD0MAsG/fvuMcY69XkW02iFuuQvZpCeU/MDCAvXv3pj2MWDl74CzOfPMMlmaW0LGqAyuvW4nuDd1pD8sXIgrSlNuXPMo2DNVqFcPDwzhy5Aj6+/sxMjKCSqXStO+PW65C9mkJ5Z83zh44i7mvzAEL1u9LM0vW70BL3ACEeKlWq9i2bRvm5qxrYGpqCtu2bQOApt4AhPZCbP4pcOabZ5YV/zILteNC2zE8PLys+G3m5uYwPDyc0oiEdkCUfwoszSwFOi7kmyNHjgQ6LghxIMo/JGcPnMXMQzN4/W9fx8xDMzh74KzxZztWqf/tuuNRiDLOdqBarWJgYAAdHR0YGBhAtRq+nljYc/X39wc6LghxIMo/BLbN3l6p2zZ7U8W68rqVQKfrYGfteIbGmXdsW/vU1BSYednWHuYGEOVcIyMjKBaLdceKxSJGRjJTGUTIIaL8QxDVZt+9oRvFm4rLK/2OVR0o3lSM3dkrvgVv4rS1RzlXpVLB2NgYyuUyiAjlchljY2Pi7BUSRaJ9QhCHzb57Q3fikT3iW/AmTlt71HNVKhVR9kJTkZV/CJpps49Cq4wzLeK0tYvdXmg1RAuEwMRmnwVHa7N8C61KWFu7yrErdnuh1Yis/InoMiL6JhG9SEQHiWhX7fgaIvo6Ef2s9nN17TgR0UNEdIiI9hPRNVHH0Gz8bPZZcbRG8S288soruO6667B+/XpceeWVGB0dtV8q5EWuYWztOscuALHbC60FM0d6ALgUwDW15xfC6oazHsD9AO6tHb8XwH2151tgNWcmAO8G8ILfd2zcuJFbiTdG3+ATf3Oi4fHG6BvK95/Zf2b5M2+MvsFn9p9p8ogb+fnPf8779u1jZuaTJ0/y5ZdfzgcPHmQAr8UlV25B2ZbLZQbQ8CiXy7F+z8TEBJfLZSYiLpfLPDExEev53QDYyxF1gTxa6xF55c/Mv2Dm79Wevwngx7C63t8Kqx0Zaj8/XHt+K4B/ZIvvALiYiC6NOo4sEcTRmpVdgptLL70U11xjLd4vvPBCXHHFFTh69CgAXIw2lSvQnISsOENQBUFHrDZ/IhoA8E4ALwB4CzP/ovbSawDeUnu+FsArjo+9WjvmPtc2ItpLRHuPHctMm14jgjha4wjHTNq/cPjwYXz/+9/HtddeCwArosgVSF+2URK7muHYlXIPQjOITfkTUS+sjvN3M/NJ52vMbG+PjWHmMWbexMybLrmktSrNBnG0Rg3HTHrnMDs7i9tvvx0PPvggLrroorrXwsi19rnUZBt1Vd0Mx66UexCaQSzKn4g6YSn+KjM/UTv8S3vbX/v5q9rxowAuc3x8Xe1YbnA7WqmHgBXA3Jfmllfm9mpdh2k4ZlyJXKrdw8LCAm6//XZUKhXcdttt9lvPtbJcdavqwcFBDAwMYOfOnZ67giBOYin3IGSZOKJ9CMD/BfBjZv57x0tPARiqPR8C8KTj+O/XokPeDWDGYUbIDd0burHqk6tQ/HARfI6B09bxpZklzH15DnNPzelX9wHCMeNI5FLtHk49fQofv+3juOKKK/Anf/Inzre/gRaWq9fqeWpqCg8//LDvrqBSqeDw4cNYWlrC4cOHtYpfyj0IWSaOlf97AGwF8F+J6Ae1xxYA/wPA+4noZwCur/0OAJMAXgZwCMD/BrAzhjFkFuXKfBGARjcHLfUQRyKXaowv/McL+Ken/wnf+MY3cPXVV+Pqq6/G5OQkAPwCLSzXoKtnla3dZEUv5R6ErEOW2TbbbNq0iVu129Prf/t6oPev/tTqQF2+3I1hAACdCHQD8Rrj6k+trvudiPYx8yajExvQDNk6u2StWbMGJ0+exMKC+46sh4iwtLS0fC5n4xXAWpW7lbO1IfY+V5aIW65C9pEM34QJVEqBgjtw4ygSl+cyEG7zy/T0NIgIpVLJ+Bz9/f3Lq/3BwUHfFX21WtUqf7HbC1mh9Wd3xlFG/ujgcA5c27+w+lOrseqTqwIXjMtzGQiV+WV+fh69vb2YmJhosK27KRaL2LJly/INRIfTlzA8PAzVjpqIxG4vZAZR/gEJE1NPK9SrQDcdqzpSqcTZrBLTYYkSl+8VNqmyre/YsaPu96GhIYyNjTXcQNw4V/S672RmsdsLmUFKOgcgaON1pT1eR22lbdv63SRtgmlGiekwRG1u3t/fr1yx28raq5Sy/d2Li4ue3+GOxNF9Z7lc9h2vIDQLWfkHQGeSOf3safP3K6AeWl5p59kEE4ao2a5Bwyadu4yhoSHfFb8qEkdCNYVWQJR/AHSmFz7NSvOPiammc2MnLv7Ti5dX3Vk3wTSbOJqkBEnKcjqHvVb8xWIRExMTyjh/CdUUWgEx+wTAyyZ/5ptn6hT02QNnrfqWmkharxDOZplggoSUpoWf2cYE0y5Zql2GikKhkJgyd4al9vf3Y2RkRG4aQiLIyj8AXqYX503h7IGzmHtqTq34O4Hih4uBo3LiLt6W1WqibpI0obgdyV7RPDZEhG3btoWq+e/nqJZqnkIzkSSvgLz+P19fLtVQRw/Q0aXfGQAACCjeGtyEE0cil5uZh2a0juVVn1yl/VwaSV5JrIZVyVpEpAzRdKNK6nKiu5GUSiUcP35ce17d58rlMg4fPuw7rihIklf7ISt/F34r7OIHi40O2Q4A8wY2/locf9DVe1zF25y0UnN3k1o6XqhCRVUmHmZuSM5SJWv5OZx1/ojp6WnPVbxU8xSaiSh/ByamEJVDlrrJqtdjQBgzSxKKOs9ZvU50phSdiYeZ6xy1up2Al0L28ke4M4GdNyVdwtmaNWu05xOEsORrprsIaic3WWGrnKR8OqTpTLN6d4+betRJYn6K2uvvb/WQUqfi7OvrQ19fnzIJTBcqWigUlOctFAqYmppCR0cHpqamtO/zUvBe/gj7pqG6KZ06dUr5mTNnwu/wBEFHbpV/GIem1wrbrsHfcM4v+UeHeOH+ztnJWcx9qf47+CwDbh3ko6j9/n73DgaE5ZtR1py+blT1eqanp5VOUt0KfXFxUbnStsM73T+ddHZ2eir4SqWirR1k1wkyySGwOXXqlDh9hdjJrfIPYyf3WknPfWnOUvTmxSCNcH7n2QNnsbBP8QVLALoQKPbf5O+vSyqrbV6yGvXjxC8k02mT163Q7dj7IAXebHRF25yMjo4qo5TsOkF+WcNudu3aFej9guBHbpV/GDt5oCJscVBbvdvmGc9dxGkEKt5m+vcn4UxOGhMHqP0er1DRSqWC3t7ewN8/Pz/vm2GsS/SanJw0XvE7mZ6eDvwZQfAit0leuoQsr9V994ZuLLyyoF59xwD1EKiL6vwFAIzq/3iNe3ZyFgvfW7BW7wR0XtNp/Pe3UtSPjS7xy/0eZ1RPoVDA4uIiyuXysuKvVqtGsf0qTG5AquSyrVu3at9fLBZD3RgEIQy5XfmHcWiePXAWC/tDKn6nJaATSht9zwd7GlbvpvV/dOOenZy1bla2z5lh/b4aRn9/K0b9qFbzTlRlmG0bv1Px2wXiwhC2Lr/uc3bWsM4MZR+PUuFUEJxkd4ZHJEyNHFNFrMQV8NN5dWd9lI5mj2Va/0c37oXvqQe8NLVk9Pe3YtSP26RSKpWWlWOhUMDc3JyyDLPTF2BaykFFlLr8W7ZsUR5fuXLl8q5gxYr6i6Wrqwujo6OSASzESm7NPkCwGjlnD5yNz9SxAJx78ZzVuN3mNJTln73qBanq7bhDTXW1g8Bmf7/9etZr/HjR29uLLVu2YHx8fFmh6xyqtrkmbOIUEWH79u0ArIzcoFnHtT7IDdhhntPT0+js7ESpVMKJEyfqzj0wMKC9oUn9HyEouVb+piyXT4gRZez/QmMBuJXXrTQu3aDqJ6DFrH8MgOzW8tehqvH/yCOPGJVmsM0uJn4DG6ci3rJlC/bs2YOHH354+fUgPQZMbjoLCwvo7e1tKAUhGcBCnOTW7BOESOaegCzNLOH1//76cuIVAGPzVJBxdl7TzLCl+DBJ3tKVZvDDWRDOz29gY9fjWVpawsjICMbHx5WRN6Y9Bkx9BSqFrvus9AUWwpC7lX+YMsWeK+gCjEs3GOOKqS/eVPQspmbju9J3RPv0bgkewpg27hW9U8k6V9dBVrp2lI/tC7AVtL1CtwvG6W4eJ06cWH7u5ycwGdfIyEhDQTkVKoWu+qw0iRHCkquVf9gyxV4RL8UPFbXlFWIhQEy91zhX/+VqrP7Uaqz+y9UtqfgB8+Qt3UrXnXxVLBaxbds2FIvFZR+A00nqLBina7Ho/C6T8FI/VM7qzs76XZpOoUuTGCFOcqX8TWvzuOvdeEW8dG/oxsV/ejGKH643zXRu7IwtIczdCyCv9Xi8MI25P3LkiNJk09XVVXeso6PDKOrHxqRvgK7Oj+q9XjhvOsePH8fnP/95Y4UetcKpINjkyuzjl7CkbMD+pTl0buxE8aaip7lI5RQ9e9lZbcP1oNhK3qtBfB4ic1QEibnv7+9vMNmsWbMGJ0+erCuMtrRkycQv6sfGfU5VBI9XSQaVSckU005jghAnqTVzIaIbAIzCsqr/H2b+H7r3mjZz8WtQonsdsLprxd0YJRAE0EpSRgn5NVgBmteS0a/pRxC5ApZsjx8/brTq1zVRMe3C5SRogxS7GJtfTR6/Ri9ZRZq5tB+pmH2IqADgcwBuBLAewMeIaH3U8/qZRbwUtF3NMkyrxFjyA1gTHmpw/rC+jrhbQ4aVq5ejtFQqac0hdmRQmBINumQrFfbOxKQYm8qkJFm5QhZJy+b/LgCHmPllZp4H8DiAW6Oe1C+r16tkga0wwzRb0Z2Xemj5Neqh0P9tv1ILYYqzJdTDN5RcvSpv2mGWTvt2tVpFX18fBgcHQ9fmcSdbeSnooNnAzpuZZOUKWSUt5b8WwCuO31+tHYtM94ZubfVLT8dorZ59HYaROLodh7OWD3WRVZo5KAYO3TDF2RKq5hlKrkGatNvKNGqVyyAKOmgSlfNmpmsmY5ITIAhJktloHyLaRkR7iWjvsWPHlo9HMVV0b+i2onTcOOrZuzEx6XjtOOzxBjINkeOnQYMV0+Jszv9dmtU83bINEsIYpSaPE7vq58DAAAYHB5UK2q6h7xXCqartPzs763vjkKxcIW3SivY5CuAyx+/raseWYeYxAGOA5RQENNE6ino5XvRu6a2L0rGdo7qoHZ1iVTlY3U5Z93iNYVg3JMO/U1ciwrljMB1LxGqevnIF1LI1jXiJQ2k6q3563Ujshuu6xKxSqYQ77rgDe/bsqduJTE9PL0cv6cpISFaukDZpKf/vAriciN4GSzl8FMDv+X3Iy1QRJLJFV8vGT4HamN6EQpeN0JigTj97WhnRYxICajSW6DkDoeQahCA1eVTY9fx37dpltIMYHh5ejgratWtXg5IfHx9HT09Pw+ds045k5QpZJRWzDzOfA/AJAM8C+DGAPcx80O9zSZoqgpSANrWXhxpXB7QmKD7Nnj15vTp9+Y3FpOS1H2HlGgTTmjyqbN+JiYllRW7qM7B3GrquX3Nzc9pzHTlyRLJyhcySWpIXM08CUNe31RCmO1cQTKtbmt6EvMo1owdWzaD5+sPUTWAwcNpgwAF2PV7/O5O6QqaEkWsQnMlYuh2AvbrXJWwFcbYGKe+g+6wkcQlZJLMOXxVZKG9w9sBZbblk903IsyfwaQCMhjIRfJqBAAE3SzNLRs7vLPzvvAgSC2+XOJiYmPDsz6srg2DqN3CaZ6rVqrZxu64PcJBcgiBI3oAQBy2l/MN05wqLKqpo2dbvERnkVMLu8TawUOvE5TYhhUi69ovTb+b/LihhY+HDmlRMnK2FQgFDQ0N1uwVVNjwRobtb/T/cs2dP7Epa8gaEuEitvEMQTMs7xIUyMqYToBXq8gsNKJqxvP63r8c/UAVxm3HcxF0GwKu8Q9ASDKbs3LmzrhmLDmepho6ODm3ZZyIy7icwNDSEycnJwB3AbHQZzVH/V1Leof1oqZV/s9A5dI0Uf+29buevdvUfc7XoZsTpx02zY+F1rRTdOJOxvLKQTcM25+bm8Mgjj0RatUvegBAXovwVxKFA3efQ2dw7r1GUhi4gsVIQWaTZHaqCKEr7vV5ZyEFs++4dQtBsX+nmJcRF62mKJhCHAnWfQ2dz793S23j8Q0UUb/HwFehQOHDjLt6WBEHKO+gI4gQNoiidETs6/4LpTkJHkJtRHP8rQQByVs8/LpQZsx0IVJtHFUWjCyX1Og54+wvsEE5VYlccGdHNwKSWvheqhu5eDdVHRkYwODjoe163UtWFbJoqb51vIMjNKOr/ShBsZOWvQLVKp25z43znxk6lcg27Cveq3bPyupXLNwB3DaCEirclQpQOVbriaYODg8pdQKVSQalUUp6rUCgoI4e8dham0UPbt2+PZdUu3byEOBDlr8GdMevp7K1l93es6kDxw0VlD90oJZR1/oLCrxc8z5lm8bZm4rXy1jlVR0dHlYp4fHxcWULaK7zSJOt4aWkJu3fvlmxfITOI8jfEq2b/6j9drS2rYHP62dOhV+E6f8HioUXPc5pW+2x1/FbeKqdq1Eqi7raN9rn8xiirdiEr5EsLJIhXzX4/zh44G7pLl42qdo/fyj7rWb1xYbLyVu0OTBWxSXilfa4dO3Yo35tUtq8ghEWUvyFRMmS9VvdRVuF+K/ssZ/XGSZCVdxiChFfqIn+iRgQJQtxItE8Nd33+wq8XsHhoUVs+OQheq/soq3CTOv5hx9xq2JE47sgfwIqyCbvyrlarmJ2dbTiuc9RKEpbQKsjKH2pn7MK+hdj622pX9z2o6/YVNAqoXVb2QahUKhgaGqorwsbMGB8fN86ktSN7iAhbt25tKNlcKpW0/gFJwhJaBVH+MGx0EjJE8uyBs1iaV6z8O4HiB4uRG6n71fFvRyYnJ0Nn0joje4DGjFzAquKp8w+kkYQlVT6FMIjyh7nTNWiI5HKSlas2P/XQ8gq9lWLxW4UopheTHsFe52l28xap8imERZQ/AjhdexDIPKPbUVAXLa/Q2yUWv5lEMb2Y3CD8zmMSRRTXat0vDFUQdIjyh0/TFZsOAPMIZJ7xUuy2nV+LfwRpW2KiNMOYXuzz+pVmjsOEE+dqXRzMQlhE+UPtOO3c2NlY3mHR9UEf84yXo9dp51cyj0wWYUsTU6UZ1PTitvO7sZ3HcZlw4lyti4NZCIs0czHEq7ja6k+trvvdGTbaQICmMEk3ZglDEs1cTGVr2sikWq0GKnymO6997rgLp+kawxARlpaCmftUoa3OJjSmSDOX9kPi/A0xbR6v7ALmeO/K61Zi7kveDkUbsfvXY2LiCFrh0+u8RJRIJ7H+/n7lzSbMal2qfAphEbOPIaalEnROXnsV372h29jB3LGqoyXq8TcLExNHGJOK7rzMnEjoZNzhoFIvSAiDKH9DTBOqTKJ3jBzMBlU7kyKrNxwTpRnGAepVGyiJ0Mlmh4M6kZwAwUbMPgEwKZVgYh6yz+FXTsIrByCpZK4sN4AxMXGEMak4z6v6rL1ziFM56xrDJImXSUxoP8ThGzNKm38nfMsuuGsL+fkG3E7muJh5aEZ781r1yVWpOny9sJ28U1NTDR2zgjhA43TGZg0vh/nU1JQ4fNsMMfvETJh6O7oSD9Sj7h6WZD3+Vkw6U5VkCBuemefQSckJEJxE0iJE9Fki+gkR7SeiLxLRxY7X/pyIDhHRS0T0QcfxG2rHDhHRvVG+P6sErbejM+8wuOn1+DtWdeCvnv0rXPvQtXjv596Lrf9vK2ZOzzhvOG/NmlxVTl5mXg4BDWJeyXOD9Dzf2ITgRF1Cfh3Af2HmdwD4KYA/BwAiWg/gowCuBHADgN1EVCCiAoDPAbgRwHoAH6u9t21QOVO1q+rTaHrVzpXXrcT7fuN9+Lc/+jd864++hbeX3o4H/u0BrLxuJV588UUAWIOMyTXqitbpBB0eHsbQ0FAuWy3m+cYmBCeS8mfmrzHzudqv3wGwrvb8VgCPM/NZZv5PAIcAvKv2OMTMLzPzPIDHa+9tC3TmHV0ph45VHU2v2tm9oRs3//HN6FrTBQD4rd/4Lfyy95fo3tCNJ598EgBOZE2uUVa0qqzh8fFxjIyM5C50Ms0oIyF7xGk8vgvAM7XnawG84njt1dox3fG2QGfeIVCm2i06bzj//Kt/xs0fuxkAcPToUQCYd7w1E3KNsqJtt8JokhMg2PiGehLRcwDeqnhpmJmfrL1nGMA5ALEFDRPRNgDbgPzYJHXmHT7NKH642BDtk+Qq//rrr8drr73WcHxkZAS33nrr8vMVK1bEriDilm2ULFdxggrtiq/yZ+brvV4noo8DuBnAZj4fI3cUwGWOt62rHYPHcff3jgEYA6xwQL9xtgJeOQDNbrf43HPPeb7+hS98AU8//TSef/755ciZtWvXAkCX422B5QokI9uwcfNxlloQhFYiarTPDQDuAXALMzv3zk8B+CgRdRPR2wBcDuDfAXwXwOVE9DYi6oLlFH4qyhhaCdMSEWnz1a9+Fffffz+eeuqpOnPKLbfcAgBr8iRXcYIK7UpUm/8/ALgQwNeJ6AdE9AgAMPNBAHsAvAjgqwD+iJkXa87hTwB4FsCPAeypvbelyHvP3U984hN488038f73vx9XX301tm/fDgC48sorAeAEMirXMKULxAkqtCuS4RuQsBm8eSHLGb5xlDZuV6Skc/shGb4BkZ672aTdonYEISqi/APSiuUP2gGJ2hGEYIjyD4iurk5c9XayWk4568RdukBKHwt5R5R/QJKM2NFlAMsNwJ84o3bibLAuCFlFlH9AkozYEX9CeOKM2hH/gdAOSDOXECSVkCX+hGjE1SBF/AdCOyAr/wyRtD9BMENKHwvtgGiVDNEqGcB5R7J+hXZAlH+GaJUM4LwjWb9COyA2/4zR7AJvgpo0GqwLQjNpifIORHQMQGPpxUb6ABxPeDhhyNO4ysx8SVwDUMg2i/+rLI4JiHdcscpVyD4tofxNIaK9WaxPIuMyR8ZkTlbHJbQGYvMXBEFoQ0T5C4IgtCF5U/5jaQ9Ag4zLHBmTOVkdl9AC5MrmLwiCIJiRt5W/IAiCYIAof0EQhDYkd8qfiD5LRD8hov1E9EUiujjl8dxARC8R0SEiujfNsdgQ0WVE9E0iepGIDhLRrrTHZCPy8x1PZmUntBa5s/kT0QcAfIOZzxHRfQDAzP8tpbEUAPwUwPsBvArguwA+xswvpjEex7guBXApM3+PiC4EsA/Ah9MeFyDyMxhTZmUntBa5W/kz89eY+Vzt1+8AWJficN4F4BAzv8zM8wAeB3BriuMBADDzL5j5e7XnbwL4MYC16Y7KQuTnTZZlJ7QWuVP+Lu4C8EyK378WwCuO319FxiYqEQ0AeCeAF9IdiRKRnwcZl52QcVqysBsRPQfgrYqXhpn5ydp7hgGcAyC99zQQUS+AfwFwNzOfbOL3ivwikpbshPzQksqfma/3ep2IPg7gZgCbOV2nxlEAlzl+X1c7ljpE1AlLeVSZ+YlmfrfILxppyk7ID3l0+N4A4O8B/C4zH0t5LCtgOQw3w1Ia3wXwe8x8MOVxEYBxACeY+e40x+JG5Oc7pszKTmgt8qj8DwHoBjBdO/QdZt6e4ni2AHgQQAHAo8ycejsoInovgH8FcACA3SD4L5h5Mr1RWYj8fMeTWdkJrUXulL8gCILgT96jlks08AAAADVJREFUfQRBEAQFovwFQRDaEFH+giAIbYgof0EQhDZElL8gCEIbIspfEAShDRHlLwiC0Ib8f7N6LqumijmIAAAAAElFTkSuQmCC\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " # Your code here\n", - " self.lr = learning_rate\n", - " self.n_iters = n_iters\n", - " self.bias = None\n", - " self.weights = None\n", - " \n", - "\n", - " def fit(self, X, y):\n", - " n_samples, n_features = X.shape\n", - " self.bias = 0\n", - " self.weights = np.zeros(n_features)\n", - "\n", - " for _ in range(self.n_iters): \n", - " y_predicted = np.dot(X, self.weights) + self.bias\n", - " # computing the gradient \n", - " dw = (-2 / n_samples) * np.dot(X.T, (-y_predicted + y))\n", - " db = (-2 / n_samples) * np.sum(-y_predicted + y)\n", - " # update the current parameters\n", - " self.weights -= self.lr * dw\n", - " self.bias -= self.lr * db\n", - " \n", - " \n", - " def predict(self, X):\n", - " # Code goes here\n", - " linear_model = np.dot(X, self.weights) + self.bias\n", - " return linear_model\n", - "\n" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 51, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() \n", - "\n", - "# Call the fit method on the object to train \n", - "regressor.fit(X_train,y_train)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test)" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 52, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " sum=0\n", - " m_sample = len(y_true)\n", - " diff = y_true-y_pred;\n", - " mse = (1/m_sample)*(np.sum(np.multiply(diff, diff)))\n", - " return mse \n", - "\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " ssr=0\n", - " sst=0\n", - " y_mean=0\n", - " m_sample = len(y_true)\n", - " diff1 = y_true-y_pred;\n", - " diff2 = y_true -y_mean\n", - " y_mean = np.mean(y_true)\n", - " ssr = np.sum(np.multiply(diff1,diff1))\n", - " sst=np.sum(np.multiply(diff2,diff2))\n", - " r2 = 1-(ssr/sst)\n", - " return r2\n", - "mse = mean_squared_error(y_test,predictions)\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions)\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "614def5d-732d-42a8-d625-2d4787390e79" - }, - "execution_count": 53, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 659.4416574156699\n", - "Accuracy: 0.9450480374102799\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_201140.ipynb b/Assignment 1/A1_201140.ipynb deleted file mode 100644 index 6a1fe0b..0000000 --- a/Assignment 1/A1_201140.ipynb +++ /dev/null @@ -1,362 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=1000, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 1, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.scatter(X[:,0],y)\n", - "plt.title(\"With respect to feature 0\")\n", - "plt.show()\n", - "# Your code here" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "outputId": "fb677a34-c8ff-4114-89f7-a129eca8017e" - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.scatter(X[:,1],y)\n", - "plt.title(\"With respect to feature 1\")\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "KUqd4PdkqEns", - "outputId": "c543f7bf-576d-4e1a-abe0-fb2f80e9912b" - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.scatter(X[:,2],y)\n", - "plt.title(\"With respect to feature 2\")\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "FDOQCJjDsZLa", - "outputId": "fadf39a2-09a3-4bf9-c43b-15fb0e304eca" - }, - "execution_count": 4, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " # Your code here\n", - " self.learning_rate = learning_rate\n", - " self.iterations = n_iters\n", - " self._X = X\n", - " self._y = y\n", - " # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " # Gradient Descent code goes here\n", - " self.coef_ = np.random.random(size=(X.shape[1]))\n", - " self.intercept_ = np.random.random()\n", - "\n", - " errors = []\n", - " for i in range(self.iterations):\n", - " self.gradient_decend()\n", - " errors.append(self.errors())\n", - " return errors\n", - " # Uncomment this when you're done with this function\n", - " \n", - " def gradient_decend(self):\n", - " d_coef, d_intercept = self.gradient()\n", - " self.coef_ -= d_coef * self.learning_rate\n", - " self.intercept_ -= d_intercept * self.learning_rate\n", - "\n", - " def gradient(self):\n", - " yh = self.predict(self._X)\n", - " d_coef = []\n", - " for i in range(self._X.shape[1]):\n", - " d = ((yh - self._y)*self._X[:,i]).mean()\n", - " d_coef.append(d)\n", - " d_coef = np.array(d_coef)\n", - " d_intercept = (yh - self._y).mean()\n", - " return d_coef, d_intercept\n", - "\n", - " def predict(self,X):\n", - " return np.dot(X,self.coef_) + self.intercept_\n", - "\n", - " def errors(self):\n", - " return ((self.predict(self._X) - self._y)**2).sum()\n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 5, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train,y_train)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 6, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " return ((y_true-y_pred)**2).mean()\n", - " # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " y_mean = y_true.mean()\n", - " return 1-(((y_true - y_pred)**2).mean())/(((y_true - y_mean)**2).mean())\n", - " # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test, predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "19736220-a34a-4c80-fea9-7076991f235f" - }, - "execution_count": 7, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 3233.4775958534474\n", - "Accuracy: 0.8402741165795852\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "g_GBhbzQNuUL" - }, - "execution_count": 7, - "outputs": [] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_201168.ipynb b/Assignment 1/A1_201168.ipynb deleted file mode 100644 index b35826a..0000000 --- a/Assignment 1/A1_201168.ipynb +++ /dev/null @@ -1,317 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 14, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code here \n", - "plt.plot(X,y,'go')" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 352 - }, - "outputId": "d75541c7-26d6-43f8-f0af-52bce4ad3e9b" - }, - "execution_count": 53, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "[,\n", - " ,\n", - " ,\n", - " ,\n", - " ]" - ] - }, - "metadata": {}, - "execution_count": 53 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np \n", - "import math\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000 ):\n", - " # Your code here \n", - " self.Weights= np.random.randn(1) \n", - " self.Biases= np.random.randn(1)\n", - " self.n_iters= n_iters \n", - " \n", - "\n", - " pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " # Gradient Descent code goes here \n", - " self.X= X \n", - " self.y= y \n", - "\n", - " for i in range(self.n_iters):\n", - " h = (self.X*self.Weights)+self.Biases\n", - " dW = (np.dot(X,(h-y)) )/ len(y)\n", - " db = np.sum( h-y ) / len(y)\n", - " self.Weights= self.Weights -(0.001)*dW \n", - " self.Biases= self.Biases -(0.001)*db\n", - "\n", - " pass # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " # Code goes here \n", - " Y_p = np.array([])\n", - " \n", - " for x in X: \n", - " Y_p = np.append(Y_p, self.Biases + (self.Weights * X)) \n", - "\n", - " return Y_p \n", - "\n", - " pass # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 60, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class. \n", - "import matplotlib.pyplot as plt\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset) \n", - "regressor.fit([1,2,3,4,4],[1,2,3,4,5]) \n", - "\n", - "\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict([i for i in range(10)]) # pass appropriate part of dataset \n", - "plt.plot(X, predictions,'go')" - ], - "metadata": { - "id": "nvItUpAkHTiv", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 352 - }, - "outputId": "6a08bead-3a72-46bb-8deb-7241e93eb396" - }, - "execution_count": 67, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "[,\n", - " ,\n", - " ,\n", - " ,\n", - " ]" - ] - }, - "metadata": {}, - "execution_count": 67 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error() # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score() # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m" - }, - "execution_count": null, - "outputs": [] - } - ] -} diff --git a/Assignment 1/A1_210355.ipynb b/Assignment 1/A1_210355.ipynb deleted file mode 100644 index 26dd4ed..0000000 --- a/Assignment 1/A1_210355.ipynb +++ /dev/null @@ -1,453 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Soln-CV_with_TF_Assignment_1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 26, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code here" - ], - "metadata": { - "id": "zxfi8dkBJOUi" - }, - "execution_count": 27, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "plt.scatter(X[:,0],y)\n", - "plt.title(\"1st feature\")\n", - "\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "vpA6OCCvtNvH", - "outputId": "65fbe889-1615-4e90-d329-bd6fe73c1968" - }, - "execution_count": 28, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.scatter(X[:,1],y)\n", - "plt.title(\"2nd feature\")\n", - "\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "7taNGrUZxF5k", - "outputId": "a1bab97c-5f22-41a2-f521-a6dfb8ec0894" - }, - "execution_count": 29, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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qNowDgHXesM4YhqdDpj2DnyafXtb2IUXq/701Q5o8B2CdN2zl8ML83NAc97QVMZPm08u6TGPe5/FlIdPmEYB13iQbkJVRETPLq3vlfZ6P7dl30vN48VfaIyAHAEtC0c64rl0ry5o8Hvb4w0deZPeDKyfeR1Mmq+uS+vYXDgBmQ9QxeVrW5PGoeY/+s/smTVbXIfURkOcAzBqkrG0kRj2+/+y+SdtW1CH1EVBtIwBJlwK/BWwAfi8idtbVFjs5D/qa+TkkOPz8i8nlRCdRZg65rNTT5dsW1618XtV/dp/6BVpSHwEpBly0ovIXlTYATwAXAweB+4ErI+KRQY9fWlqK5eXlGbYwLWvzoGvNz21o5YrQWZRBDvrsmvJ5NbltTdH1z0jSAxGxNOz+ulJAbwX2R8RTEfG3wE3AZTW1JXnjVsq28SI2syqDbMqWD4N4a4fxUv+M6koBLQIH+m4fBN7W/wBJVwFXAWzatGl2LatA0xfk5Ml3ti0nmndyb9pJwKbnkL0KeLyUP6PGVgFFxC5gF/RSQDU3Z2J5y8zqLEcbVTHS/5g2ydsxT9uBtz2HnHINvNWXAloBNvbdPjc71jl5UwR1phJGXWMX2lkVkncl77QrfttcReNVwFZXALgf2Cppi6RTgSuAPTW1pVKzOhOdxto86ML8HKe/Yq7VOdG8HfO0HXibc8hNnr+w2aglBRQRRyVdA9xBrwz0sxGxr462VC1viqDuVEKb86Cj0hjj0htllEGu/exWryPQ9LRK0+cvrHq1zQFExO3A7XW9/qzk3VPGV2OazLi5kzwdb5nBr01bCxQ96fB8Qfd4JXDF8qYI2pxKqFPVaYyiVwVrU1qlSPrL8wXd1NgqoC6p40w0FVWmMSY5m29TWqVI+iv1PXO6ygHAWq1IGqNoCmOSTq/uuZyi8p50tCmwWX5OAVmtprnwOuRPY0ySwpik02tzWego05bLWjM5AFhtysgr5507mSQ3P0mn19W5nK4GttQ5BWS1KSuvnCeNMenZ/CSVWV2cy0l919CucgCw2swyrzxJbt6d3sm6GNhS5wBguZVdBz7LCVOfzZut5zkAyyVPvr7ohO4s88pdzc2bTcMjAMtlXL5+0hWwL5875cTvLMzP8bH3/vhEnXKe0YnP5s1O5gDQUWWna8bl64tO6A66EtMLR49P1LY2bb9g1iROAXVQFcv2x5VEFp3QLXPLhDZtv2DWJA4AHVRFhzguX1+0Zr7MCiCvUjWbjFNAHZSnQyyaIhpXElm0yqbMCqC2bb/QNKt/CyuHj7BB4lgEi4mXvKbCAaCDxnWIk+bMR02iFq2ZL3P763e88Uw+f983Bh630db+LRyL3tVXPY+SBkU0/3K7S0tLsby8XHczWmPQBOv83IYTZY/bd+4dGCAWF+a5d8eFM21nGRPVw97PBonjEckv4Bpl2Ge3atZ/E1YuSQ9ExNKw+z0C6KBxZ+NNyZmXVZY5rN0+mx1v3HfueZRucwDoqFGda56ceZuu/jTs/fTz3vWDjfvsPI/Sba4CStC4ip62Xf1p0PsZxGez64367LzbZ/c5ACRo3LYIbaurX/t+NkgDH+ez2fX6Pzt46bPzVhlpcAooUaNSRE2ZIyii//0MmwT32exg3iIjXQ4Atk7b6+q7tI1zm+ZirH0cAGydMmv0Z2FYJ9n2jtJ7HFnVPAdg67Rp6+S2TVgX0ba5GGsfjwASMEkaoS1n0GVdVrKJ2jgXY+3iANBxXU8jlN1JNinn3va5GGs+p4A6rutphKK7kI7StHTSLK+YZmlyAOi4rqcRyuwkmxYs2zQXY+3kFFDHdT2NUGbJZxODZVvmYqydHAA6rm0lnZMoq5PserA0W2uqFJCkn5O0T9JxSUtr7rtO0n5Jj0u6pO/4pdmx/ZJ2TPP6Np7TCPk5526pmXYE8HXgfcB/6z8o6XzgCuDHgXOAuyT9WHb3bwMXAweB+yXtiYhHpmyHjdD0NEJTKm+6tILYLI+pAkBEPAqg9ZtvXQbcFBEvAE9L2g+8Nbtvf0Q8lf3eTdljHQAS1bQy1aYHS7MyVVUFtAgc6Lt9MDs27Pg6kq6StCxp+dChQxU10+rWtMobs5SMHQFIugt43YC7ro+IW8tvUk9E7AJ2Qe+SkFW9jtWriZU3ZqkYGwAi4qIJnncF2Nh3+9zsGCOOW4LKrrxpynyCWRtUlQLaA1wh6TRJW4CtwNeA+4GtkrZIOpXeRPGeitpgLVBm5U3TVvKWZfeDK2zfuZctO25j+869rX8/1hzTloH+rKSDwE8Bt0m6AyAi9gE305vc/Z/A1RFxLCKOAtcAdwCPAjdnj7VElVmm2sX5hK4GNWsGRTQ/vb60tBTLy8t1N6NVUkyFbNlxG4P+mgU8vfM9s25OKbbv3DswRba4MM+9Oy6soUXWJpIeiIilYfd7L6AOSvWsscyN4ZrCk+RWJQeADupiKiSPWa7knVVevotBzZrDAaCDUj1rnNW2F7McYXl7CquSN4ProJQ3NZvFSt5ZXoXM21NYlRwAOiiFHUDrNOsRlrensKo4BdRB3gG0Ws7LW1d4BNBRPmscb9JSWY+wrCscACxJ0+xC6ry8dYUDQMOtPUt9xxvP5J7HDrnjmdK0E7keYVkXOAA02KCz1M/f940T99e9d36bpVoqa9bPk8ANNugsda0UFnhVwRO5Zg4AjZb3bNRnrcV5gZVZx1NAbd8QbdiCrkGPs2I8kWvW4QDQtGvNTmJQueFaPmudnCdyLXWdTQF1YUO0QQu6fuGCTV7gZWal6OwIoCtVHj5LNbOqdHYE4CoPM7PROhsAul7l4evEmtm0OpsC6nKVRxcmuM2sfp0NANDd/Pks96NviraX9Jo1UacDQFd1ZYI7L494zKrR2TmALkttgrsLJb1mTeQA0EJdn+BeK7URj9msOAXUQl2e4B6kzmsce+7BuswBoKW6OsE9SF1X4PLcg3WdU0DWeHVd49hzD9Z1HgFYK9Qx4vHcg3WdRwBmQ6RWbWXpcQAwGyK1aitLz1QBQNINkh6T9LCkL0la6LvvOkn7JT0u6ZK+45dmx/ZL2jHN65tVqa65B7NZUURM/svSTwN7I+KopP8AEBEflXQ+8AXgrcA5wF3Aj2W/9gRwMXAQuB+4MiIeGfU6S0tLsby8PHE7LQ0u2TQ7maQHImJp2P1TTQJHxJf7bt4H/JPs58uAmyLiBeBpSfvpBQOA/RHxVNa4m7LHjgwAZuO4ZNOsuDLnAH4J+NPs50XgQN99B7Njw46vI+kqScuSlg8dOlRiM62LXLJpVtzYEYCku4DXDbjr+oi4NXvM9cBR4MayGhYRu4Bd0EsBlfW81k0u2TQrbmwAiIiLRt0v6YPAzwDvjJcmFFaAjX0POzc7xojjZhOrc7sIs7aatgroUuAjwHsj4vm+u/YAV0g6TdIWYCvwNXqTvlslbZF0KnBF9lizqbhk06y4aVcCfxo4DbhTEsB9EfEvImKfpJvpTe4eBa6OiGMAkq4B7gA2AJ+NiH1TtsEsuQ3yzMowVRnorLgM1MysuHFloF4JbGaWKAcAM7NEOQCYmSXKAcDMLFEOAGZmiUrmgjDeKMzM7GRJBABvFGZmtl4SKSBvFGZmtl4SAcAbhZmZrZdEAPC1Xc3M1ksiAHijMDOz9ZKYBPZGYWZm6yURAKAXBNzhm5m9JIkUkJmZrecAYGaWqGRSQGb9vDLczAHAEuSV4WY9TgFZcrwy3KzHAcCS45XhZj0OAJYcrww363EAsOR4ZbhZjyeBLTleGW7W4wBgSfLKcDOngMzMkuUAYGaWKAcAM7NEOQCYmSXKAcDMLFGKiLrbMJakQ8Bf1d2OMc4Avl13I2Yklffq99k9qbzX1ff5+og4c9iDWhEA2kDSckQs1d2OWUjlvfp9dk8q7zXv+3QKyMwsUQ4AZmaJcgAoz666GzBDqbxXv8/uSeW95nqfngMwM0uURwBmZolyADAzS5QDQIkk3SDpMUkPS/qSpIW621QFST8naZ+k45I6V1In6VJJj0vaL2lH3e2piqTPSnpW0tfrbkuVJG2UdI+kR7K/21+pu01VkfRySV+T9L+z9/rxUY93ACjXncBPRMRPAk8A19Xcnqp8HXgf8JW6G1I2SRuA3wbeBZwPXCnp/HpbVZnPAZfW3YgZOAr8akScD1wAXN3h7/QF4MKI+HvAm4FLJV0w7MEOACWKiC9HxNHs5n3AuXW2pyoR8WhEdPUK6m8F9kfEUxHxt8BNwGU1t6kSEfEV4Dt1t6NqEfFMRPyv7Oe/AR4FOnkxiOj5fnZzLvs3tNLHAaA6vwT8ad2NsMIWgQN9tw/S0c4iRZI2A9uAv6i3JdWRtEHSQ8CzwJ0RMfS9+opgBUm6C3jdgLuuj4hbs8dcT2/YeeMs21amPO/TrE0kvRL4Y+DDEfG9uttTlYg4Brw5m4P8kqSfiIiB8zwOAAVFxEWj7pf0QeBngHdGixdZjHufHbYCbOy7fW52zFpM0hy9zv/GiLil7vbMQkQclnQPvXmegQHAKaASSboU+Ajw3oh4vu722ETuB7ZK2iLpVOAKYE/NbbIpSBLwGeDRiPhk3e2pkqQzV6sPJc0DFwOPDXu8A0C5Pg28CrhT0kOS/mvdDaqCpJ+VdBD4KeA2SXfU3aayZJP41wB30JssvDki9tXbqmpI+gLwVeA8SQcl/XLdbarIduD9wIXZ/5cPSXp33Y2qyNnAPZIepncyc2dE/I9hD/ZWEGZmifIIwMwsUQ4AZmaJcgAwM0uUA4CZWaIcAMzMEuUAYGaWKAcAM7NE/X8A5f06REkAkwAAAABJRU5ErkJggg==\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.scatter(X[:,3],y)\n", - "plt.title(\"4th feature\")\n", - "\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "sj3gF6CJxUP-", - "outputId": "91fcd42f-59d8-47f3-9762-d8b140170e5e" - }, - "execution_count": 31, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.scatter(X[:,4],y)\n", - "plt.title(\"5th feature\")\n", - "\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "8Nadh_8wxrZQ", - "outputId": "2333a7ab-e7d9-444a-f34d-70facd81285c" - }, - "execution_count": 32, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " self.w = np.array([50.0,50.0,50.0,50.0,50.0])\n", - " self.b= np.array([5.0,5.0,5.0,5.0,5.0])\n", - "\n", - " # Your code here\n", - "\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " for x in range(0,1000):\n", - " ew = [0.0,0.0,0.0,0.0,0.0]\n", - " eb = 0.0\n", - " for i in range(80):\n", - " yp=0\n", - " for k in range(5):\n", - " yp =yp + X[i,k]*self.w[k]\n", - " yp = yp + self.b\n", - " for k in range(5):\n", - " temp =0\n", - " temp =+ (X[i,k]*y[i]-X[i,k]*yp)\n", - " ew =+ (-1)*temp\n", - " eb =+(-1)*(y[i]-yp)\n", - " ew = 2/80*ew\n", - " eb = 2/80*eb\n", - " self.w = self.w-(0.001)*ew\n", - " self.b = self.b-(0.001)*eb\n", - "\n", - " ew = [0.0,0.0,0.0,0.0,0.0]\n", - " eb = 0.0\n", - "\n", - "\n", - "\n", - "\n", - " \n", - "\n", - " # Gradient Descent code goes here\n", - "\n", - " pass # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " result=[]\n", - " n = len(X)\n", - " for i in range(n):\n", - " yp=0.0\n", - " for k in range(5):\n", - " yp =+ X[i,k]*self.w[k]\n", - " yp =+self.b\n", - " result.append(yp)\n", - " return result\n", - "\n", - " # Code goes here\n", - " \n", - " #pass # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 35, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "regressor.fit(X_train,y_train)\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 36, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " mse=0\n", - " for i in range (len(y_pred)):\n", - " mse+=(1/len(y_pred))*((y_true[i]-y_pred[i])**2)\n", - " return mse\n", - " \n", - " # return mse/len(y_pred)\n", - " # return the mean squared error\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " ymean=np.average(y_true)\n", - " mse=0\n", - " me=0\n", - " for i in range(len(y_pred)):\n", - " mse+=((y_true[i]-y_pred[i])**2)\n", - " me+=((y_true[i]-ymean)**2)\n", - " r2=1-(mse/me) \n", - "\n", - " return r2\n", - " # return the r2 score\n", - " #pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "9bd690b7-2187-4b5a-f99a-6d68b65ec209" - }, - "execution_count": 45, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: [51223.6165041 51223.6165041 51223.6165041 51223.6165041 51223.6165041]\n", - "Accuracy: [-0.36367317 -0.36367317 -0.36367317 -0.36367317 -0.36367317]\n" - ] - } - ] - } - ] -} diff --git a/Assignment 1/A1_211044.ipynb.ipynb b/Assignment 1/A1_211044.ipynb.ipynb deleted file mode 100644 index 5beabae..0000000 --- a/Assignment 1/A1_211044.ipynb.ipynb +++ /dev/null @@ -1,335 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "var1=5\n", - "X, y = datasets.make_regression(n_samples=100, n_features=var1, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "print(len(X_train))\n", - "print(len(y_train))" - ], - "metadata": { - "id": "yX0zqXcHIQHP", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "461bd8a9-8ef0-4223-c7e8-1d66408d39e9" - }, - "execution_count": 32, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "80\n", - "80\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "# Your code here\n", - "\n", - "for i in range (var1):\n", - " x_plt=X_train[:,i]\n", - " y_plt=y_train\n", - " plt.scatter(x_plt,y_plt)\n", - "plt.show()\n", - "\n" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "c0a4ab9f-d5ee-4d28-ddd6-cfd8a98d5eb3" - }, - "execution_count": 33, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - " w = 1\n", - " b = 0\n", - " l_r = 0.001\n", - " n = 1000\n", - " n_features=1\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self,n_features=1, learning_rate=0.001, n_iters=1000):\n", - " # Your code here\n", - " self.w=[]\n", - " for i in range(n_features):\n", - " self.w.append(1)\n", - " self.b=0\n", - " self.l_r=learning_rate\n", - " self.n=n_iters\n", - " self.n_features=n_features\n", - " \n", - " #pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " \n", - " def fit(self, X, y):\n", - " # Gradient Descent code goes here\n", - " for m in range(self.n):\n", - " w_diff=[]\n", - " for k in range(self.n_features):\n", - " w_diff.append(0)\n", - " b_diff=0\n", - "\n", - " for i in range(len(X)):\n", - " yPred=self.b\n", - " for p in range (self.n_features):\n", - " yPred += self.w[p] * X[i,p]\n", - "\n", - " b_diff += (2 / len(X)) * (-y[i]+yPred)\n", - " for p in range (self.n_features):\n", - " w_diff[p] += (2 / len(X)) * (X[i,p]*yPred - X[i,p]*y[i])\n", - " \n", - "\n", - " for p in range(self.n_features):\n", - " self.w[p] = self.w[p] - self.l_r * w_diff[p]\n", - " self.b = self.b - self.l_r * b_diff\n", - " #pass # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " \n", - " def predict(self, X):\n", - " # Code goes here\n", - " li=[]\n", - " for i in range (len(X)):\n", - " yPred=self.b\n", - " for p in range (self.n_features):\n", - " yPred += self.w[p] * X[i,p]\n", - " \n", - " \n", - " li.append(yPred) \n", - " return li\n", - " \n", - "\n", - " #pass # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 43, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression(5,n_iters=1000) # You may pass the custom parameters or let the default values take it ahead\n", - " \n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train,y_train)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 44, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " mse=0\n", - " for i in range (len(y_pred)):\n", - " mse+=(1/len(y_pred))*((y_true[i]-y_pred[i])**2)\n", - " return mse\n", - " # return the mean squared error\n", - " ##pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " yAvg=np.average(y_true)\n", - " numr=0\n", - " denr=0\n", - " for i in range(len(y_pred)):\n", - " numr+=((y_true[i]-y_pred[i])**2)\n", - " denr+=((y_true[i]-yAvg)**2)\n", - " r2=1-(numr/denr) \n", - "\n", - " return r2 \n", - " # return the r2 score\n", - " #pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "d5fd6461-6381-40a2-8443-ed11d4d6ce98" - }, - "execution_count": 36, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 649.6589492270382\n", - "Accuracy: 0.938582027146336\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_211055.ipynb b/Assignment 1/A1_211055.ipynb deleted file mode 100644 index 02b5747..0000000 --- a/Assignment 1/A1_211055.ipynb +++ /dev/null @@ -1,351 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 52, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code here\n", - "for i in range(0,5):\n", - " plt.scatter(X[:,i],y)\n", - " plt.show()\n", - "#rows,cols=(1,100)\n", - "#Y=[[1.0]*cols]*rows\n", - "print(X[1,])" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "05aff0d1-b7de-4e38-9e17-b0c6f897f5fd" - }, - "execution_count": 53, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[ 1.91728485 -0.58059517 -0.19457399 -0.68011624 -1.095916 ]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " # Your code here\n", - " self.W=np.array([0.0,0.0,0.0,0.0,0.0])\n", - " self.b=0.0\n", - " \n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " # Gradient Descent code goes here\n", - " for j in range(0,1000):\n", - " yesp=np.dot(X,self.W)+self.b\n", - " errorw=(1.0/80.0)*np.dot(X.T,(yesp-y))\n", - " errorb=(1.0/80.0)*np.sum(yesp-y)\n", - " self.W=self.W-(0.001*errorw)\n", - " self.b=self.b-(0.001*errorb)\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " # Code goes here\n", - " #print(y_test)\n", - " #print(np.dot(self.W,((X).T))+self.b)\n", - " #return np.dot(self.W,((X).T))+self.b\n", - " #print((np.dot(X,self.W)+self.b).shape)\n", - " #print(X.shape)\n", - " #print(self.W.shape)\n", - " return np.dot(X,self.W)+self.b\n", - " " - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 54, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "regressor.fit(X_train,y_train)\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset\n", - "\n" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 55, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " msee=0.0\n", - " ms=0.0\n", - " msee=(y_true-y_pred)*(y_true-y_pred)\n", - " for i in range(0,20):\n", - " ms=ms+msee[i]\n", - " return ms/20.0\n", - " # return the mean squared error\n", - " \n", - "\n", - "def r2_score(y_true, y_pred):\n", - " \n", - " mss=0.0\n", - " mean=0.0\n", - " m=(y_true-y_pred)*(y_true-y_pred)\n", - " s=0.0\n", - " d=0.0\n", - " for i in range(0,20):\n", - " mss=mss+m[i]\n", - " mss=mss/20.0\n", - " for i in range(0,20):\n", - " s=s+y_true[i]\n", - " s=s/20.0\n", - " mean=(y_true-s)*(y_true-s)\n", - " for i in range(0,20):\n", - " d=d+mean[i]\n", - " d=d/20.0\n", - " return 1-(mss/d)\n", - " # return the r2 score\n", - " \n", - " \n", - "\n", - "mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "c0a16a07-6d94-4b07-d71b-3bc376235172" - }, - "execution_count": 56, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 2121.416795323597\n", - "Accuracy: 0.7994438169419296\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/A1_211154.ipynb b/Assignment 1/A1_211154.ipynb deleted file mode 100644 index 1cec8ae..0000000 --- a/Assignment 1/A1_211154.ipynb +++ /dev/null @@ -1,336 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "RB2d1J1f1CF7" - }, - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "a_S80lf6H4Xv" - }, - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Zj4rrRXGJBXy" - }, - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "id": "zxfi8dkBJOUi" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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jzi4zdDeFn+TTo4cEf9+K8q/rng/rOZB2OxsfXsHmUYVIpwkBDOkt56it57LQ8SxcmJitQuAqtmjM8qDAD+qu3UR2SgMJo/GOuTj2Uat9NGnBUF3jHt73RS6Md4zSEBQqL5z8xfmewB+A25zPJwfNBKenFyG/p0X5UoHHjZqiAOVN0dcMV9HdqnzIjqGnIJ3BPRBWdx7HfnZ2wkPSAxvwhFX9uqE3x/46qD1VGI13zMWxjzr4a9KC4Rxbnw49V8Y7RmkICpU3FvcOVZ4euKofs3MpJlfwzc/k6mHMzqUACLObykn7ja9JcVP0rRybC8qivn4gxb1DY2+OMnhNAOlQv27ozTGWQe0DmVydGaFCB39NWlAO5xC9TCl+0pPrzxU1SpSGoJmjZ1J7ci3VRdUIBN22duXpgav6qqZ1jN/2FPn2vSAlPW47NZ8+T1XTu1gKnVSf0EbpwQZpAIObom/l+OiEc7ErZg4XFaprdx15+2JvjjJ4TYCe5rOR7uDXVWnvow1qH+hceMwI7rloIiPKChB4cv33XDQx54q9oAu+/YJc9LePhVivO9Oul0EYSCXbyq5k44p2dgw9hZ78cooKJSdfciQAKx/bjMvVl2IxuXoY/3Ffzt9Hj9nKgqMvZuNhJyElnNqzivl5j7CyyMyCoWU0WsxUuVxc1WLn4o59NInhfHnsjZxwwTVhlxmYfz/ty/VcseUlKrtbsRRJDpjYylcHn80rzd9BuvpWnQ5TL28d+ixzL7ww6Zw/gKVkA7bK5QhrG9UGhdy6nXXUvnk7dhlQGBZWaqf9RheGs0Ckgq8O/jlOMvr0/kAyeuqUEaL2acubzXuLG/ho9Ddxm/vSV2az5IzvHgHAW09/SGeXUKp9Am9iq0YeGxRATyx9mp1VG+gJMC6Tbiv2hotwth9DgdVsuFIM1I/PLX6HX8kHsQTk17f3Tmel/UqcXbaUq31i1qxvWkTdKzeyoKTQc3NzupjX3sXMM+8N2umFFobBWD2kSRwd/PsxC29dbdiZOvfuqVm4otSy44zp6k7KmhrGrnw1C1fkuSYjuWa8P/dQ6V/RmPmY8lrDznP3ltH5yc1AjLLA+440GLieZflsjNelktACVBdVs+LiFem8wkFFpOCvc/45TjKeNP2BXPRQcTY0GBZQ4/25h0r8jFQzgcdjkgWmwLkyLcR4XYO9MJwL6OCf4xiqZlLg0pgLJOt6mQ4s1dWGcs14f+6hEj8j1Uzg8ZhkgSlwrkwLMV7XYC8M5wI6+Oc4KtWMw9TLa9WLqNtZl6WrSh0q10uEwLl7d0oHaMQzyKXyhusZ8+VLYXJNs1nG7Y4ZKv1TqWak20pP89lAHLLAWJwrA4a8cN+Rnq/TTYyOmoYOobE6d8bJkg31TJ2/kkNurmPq/JUs2VCfltfpT+gO3xzHV9QNbNtfe+ALfFyyng/fegvo352TQR4qvty/tw6VqpGH8Y42LJ01i2MB08Mvhql94i2yh7qSHmA6mRkHHcTqlsdp7GykxFpBT9PZdLYfwYh4TMCiOVdma5RhjI6aaXMIVdCf/HYyiS749hMGQ4EsXcXfgV40V5KrBeEskGt+O5lEe/sMAAZDgSxlxd8Q6WZHywJUQ+EHStHcR1BfhelXTCl+wu+jVFdU6O0tgKpnZgwqTb2qgH7al+u5YvlLbF3YlvnekhxBB/9+QlVRlXLlP5AKZEYDNBzDKpg6f2VsWnNFuqPYvIcOV0XYqcXl+dltMIuTSE1RYaktdyWr2n8EwI6K9dQOL8du8tSOMmK2FsP8hkw1L9aUFQSt/E/7cj3zNj7jN8hLVXqxv6ELvv2ETBfIsoGq+OvOy+cvo8+ivrUbSV++1rBgpzBqm1L0OBbRG3TMkmfiqAPb+s2Qbl9TVENnAxLpD+C+on8kF9UFQ8v8gd9HWs3WQobK++sNAQVn383Kt/vy1WEiFeITJbTofsWWl5TOqANpPm8s6JV/PyGTBTLITuu9aoDGX8ecxYphE/3njO8xc0qbhV1/28bC8s/CV4sKnfm4wv/hRvCa+0ZcHU7/KtM97+vKId2bau9h78hjg3YXaVmlxjHdLJJb5szRMyO4qFbQaDErvzf6nV2svvdIytpctJaacVw9h9OuTIHZXiSnVO/7U96set2sef6TlK/+Q4vulQbOqFmdz5uFSXc6+PcjZo6emZE8bTY92UtnzQraej93c5+cdXyPmXO6rVi9+Xulaidkpq2PYtsWFsgu7rnMY53QtmwZu1tblddQ3rmPqwPUIPGqhWIiTjVOtJqP0YziNiFxOYaGdRVP3ezimhclNqdHAVPe5qLnT//iNUj+BhBDo1emmxcvPGaE/yaw450/5tZ83iwps3TaRxNGLnmyBzY8nWK3+AO/D99qETw+QTueLWbr09XsWFpJ22eex/ZKCwXY2Wz6Fic9fypsWhRxi99cUEa3w8W9y7cBkVepCRNljkAo0Zqipsweg7AE/2wkEquEQz//DlYR3Jx26WsSmzPoEPkOsD5k3AtQt7OOGc/MYNLCScx4ZoZxn0kMjV7ZbF5UpReFzUblDden/bWVxPlZSBUpCf5CiH8IIZqEEB8GHCsXQrwshNjh/f9Q73EhhPizEOJjIcQmIcSxqbgGTerIJWVRYL62RIYrdsCzWvQZxDn3tAECZ5eFhndLqf+sDIlkmKkDk4AqmmHZT3E2hK/8ACQe22ToU4mkZZUapz1DtJrPljwX/y1w0CUkEo98WyAoxMTZreP4Zflv/bbU1UXVDFM7U1PWph4yE63mEEQMjV5Ky+88U9xNdIlQOmsW1b+5C0tNDQiBpaYms0aCoWTJqiNVK/9HgXNCjt0MvCqlHAu86v0a4FxgrPe/q4G/pugaNCkil1rvA/3R24W6J6W4PJ+m+/4Unr93mdi/qYB8ERLQHN1YitSv155XyGujjgP6dh1pWaXGac8QOleguqg6yAHz3uXb2GR24EAiQnZH0imxvzWEFRevYNPcTay4eAWtpeo6gNHxuHaDk+Z45jWUjgKEcn7DuMlVnH7ZeP/PsLg8P6NOtaWzZjF25ascvnULY1e+ml2VT5asOlKS85dSviGEODjk8GzgNO+/FwKvAb/0Hn9MerrL3hZClAkhqqWUWay2DB5iKeTOO3aeP+c/dbOLS1+TDG8HZ+V+2vKXxfyHkmyRNOhaD61izJE/o3WFLczeesrsMTifU398ZJf6uSuP3EfDxuqgG4bdbOXBibOBYJuFKbPHhNlqOwVYjvZM9UpILjr9DuUcgUjTzSLVfHy7lEi7o0AcV8+h575/kR+Q+umxeI6riHs3OGmOOl/tLWxubziENV1z6XAOpbjc1m9mVKSFBD4LqSCdOf8DAgJ6I3CA998jgMCK3C7vsSCEEFcLIdYJIdY1Nzen8TIHD7Fu3X2rzPN3lHDNi5KKdk+LlLWpNWYpZLJSPtW1/r/W2ymbYVeuFo2KdaZC9fOXHjU8aOvvGF7J4ydfyuujjgubvjRuchXF0yppN3lSKm3CzUu2Xn77wRe8+n+PJSYXjWF1HA++XYrR7qjdJIPksaedMJ7Wr/XQUgJuoKUEWr/Ww2knjFc+PiW7QW9hc3vDwaxq/yEdznJApFXm2S9I8WchVlJm7+Bd+b8gpTzS+3WrlLIs4Pv7pJRDhRAvAPOllG96j78K/FJKaejfoO0dUkO8FhHJ2C0ka6kQ77UaDoX5wXmUtj4SvqqK84/LyCLg8Zd/x/DOfWHHMz2PwOdfc1AHQYooAAeS/xY42H9AXp+dQZz2DykZvuJ9zYVNf6PDXRn27QFtt5ElsmXv8JUvnSOEqAaavMfrgVEB5430HtOkCKN0Syxb98BUy9O7HQpThNj00MkWSeNNM4QZxJnNnsadZ9+Gb1xJae/zMWuoVdOrjDz2yxWBH4x/RnFPxvISLV0XqGX/71e9nGK3UCIFTpOdyUVP8NPCF9ndNRw23eN573EWGVV9Jlfafsaeh4dwf8vK2NJ63ufucA9XfrujpSdI797WVEPTphKce9tzvvu6P5LO4L8UmAvM9/7/+YDjPxZCPA1MBtp0vj91RNKkG1lEHNd+unelbqcj307RqBpkRQN7SqBCoQpxVJQy45kZEesGRrpzVZFUlTNPxM7CFxgCdwDO3btp+Oti+OFFlNb+zn9u3w3Sjs3RxugdSxhpqeeLr8/llqbKMAfI0gIrrd2OsNdsKRqqXvn70lABwayroIo3O7/BV7YCCscsp83ayq/Wl/H+vqu584zLDd/Xr1c+zjOf3wcmz+uPfmcXJffeyJb2X2CtrvGPi/TdVEw2wUf5PVxgepP51ocp9HY3jxR7+vTjBv0QkYqMgTWHvs9ZcFoPIvQ+eF+z2LRHufJ34+b+B8opNv2Ko+yLsK3djHS1AYPXgiGdpCTtI4T4F57i7nDgK+BOYAmwCDgQ+ByYI6VsEUII4C941EFdwPcipXxgYKd9Uu0tEyndMvyq1rCt++F7T+K0nZcgnQFpAlMvr49+mgOa3vE2AvU9jzvfyt/ONbHq8D4FjWr7v/2ZJax6NR+n7Av2FtHD6dN7GHfxhUHvX5WuafzJ17kxf1ncaYbQVFVj5fF8MvoCevLL2Z/vmWt7ziHnhhWOTa4exm97iqF73+dPR1/sV/z4GFpoxe5w+28K4CkK/6WyiRGP3KeeQXxQd1ghb3FhCb+uGIbbFKBAclu5+KAbWPHOiLAdwZIN9fxq/SX+SV99zVkBD8/LZ8HRF7Oi5piga34z76eMNO0J/yGVjjIuMs76s+ffUbpNE0rr+XL+bcfzyv7rkAGfDRmiUvL9Pqqagv/usznesz+S9jGOUspvSymrpZRWKeVIKeUjUsq9UsrpUsqxUsozpZQt3nOllPI6KeUYKeXEaIF/IOPXpqfQWyZSukUlFzyj8VtBgR/A6s5j8hfns/oIM387T9Bcgl8P/cSsIUGBH9SSv3Ff/orTh9xPsakJcFNsauL0Ifcz7stfBZ2nlGja7Yx48vWI0kYjAtMtjZXH89Fhl3pm8QrBkN5yjtp6Lrte6g1r2nKb8/lk9AXkuxxcseWlsOdt7XL4JacC/EXh6T/5rrFmXNG882B5cXDgBzA5+M/Oh5T+Rb97/UmwtAKewP/jZeHNWabeHi79IFxvXyMUgR88Qd2oyAhRfXkgwbSe9zXHVX/Guwc/xf68FiQSN+4wearv9xFKVi0YBhja3iGLGAW+pvv+lPDqP1q6JVQueP8r6lVUca9Hxrj6CDM7T+wrstYtnBR0nk8KOqz9S3Y8ML1v59K2i3GFX/othf20hXToGtk4797NuKv+yH9uuJ7Si41/FqH1jYPHTady2ysAfDL6Atzm4DST1Z2HBavqqfxzeytCvF8uML3JiUOf5fkVk5m1ezbFvUOxuN1M6PVo4kMtKfrea3j+3MhnxxfgLSUbyK9YjrC2cvuGImRpN0L0rfjNBhv10GsG2C2He1I9YUhP8XX6HeHF3fuODLphbe/6Gms6vkPHA8MoLl/tz+vHk9YLwisBXb9wEuuqNnJo83FM/1id8lLNUY5mwZBoTcVHf3J5TRZt75BF0jG8PK7OyU2LKDarV4cdeZ48dqhzaGDO3ReQKto9H6SgnUuMjSuR/pij7YRUctKtIy+kscqzyzUawm6Eb27vnoKh/mMXmN7ktLInWMpJHPX5ZQzpLUcgcLWbeOXxzZHliYqfQZVT3UELkH/AEmzVizHltSIEYO5EmDw7FJUdQyDNBWVhx/7gnEO3zFM/wGBFH3jD2t71NVa1/8ibnw+WZCbboev7HE3+4vywVb8PW8gc5WgWDD7FU8wOsCGkYyeey+jgn0XSMbw8rs7JV+/y2B0TvPtwmnpZe+ALylRLoM2AKiBJu53dN97EjmeLafuyBIC2zwrYsbTS47nzbHHQH5Nyhm/I8xn58Kx89sOw9I3LJfh84iVYilyGQ9jtlk6cppBVq5QM2/MBwgKTjtrJm3k/5QLTm3zb8Rmf7Pojp3wyF6s7OJBKp4js76OwOfhxWycoVu9CgHXoWoQpvKgMGNoxAGCWbDoiPOgudU/jl46raCR8lgGg9o8JuGGt6fgOToJ/N4HOm8l06Po+R74dZjiS42zLsAwv9fdhPHTCtzh6tclwBu+9y7cF1WSAII+maETaiQ9EdNoni1TecL2y2JmswdS4yVWx/RF6UzPg+UPvcA+n2LSHKcVPMu8X6tVOoORvWLtCLeLFuaeNhvahdO0rpm2bG+ky9R0PUG0oZ/iGPpdiJ1S3sw5nu025Zux0FDD2n79FLn6BV766JKiw6DD18vZBz1K5/2AmNJ3St+oUgsbqKRxS+SFDD3yVoXTzA+dW3tp/NYUY35yi5rghqHh6wfQ7uG3DbwweYCy+2GugvEJIak5o5aqDlvOxYxRL3dOCvr3UPY1l9ml8artM/fyhqamAQnBESSZxfM4U+D5HW9a1U2gvDfu+rcjK0f/fY0DsM3iN5LhGx0NJx048l9Er/yySdYMp7ypvXOH/mFt5DddVfYO5ldcwrvrTiA+bOXomKy5eQV5NTcTzZK+D1m1mf+D3H/euppZsqGfq/JUcvdrEFTNuwzE8XP4H6p3QgvcW+FNTodiKLDBpDuNqF3LmFcdgLnEjkezPa+H9sc/TOGwdB7ZOVBYZ37f1qVre67gkbOUbSkw57hs+hNpWz/8nzaG6SL2zE5iYutnF/fc7efoeJ/ff72TqZk/Ae+o0gT1kqSbMbmomt1J6cDeFopebLGpHzpqyAmUKqq6okBkHjgx26QwoBBerlEKxvOcYmTl6JrO/PUWZPvranHH+r2Nd0Qc6wMZyPJR07MRzGR38s0xWDaZicF+MRLSUDQAudY7b0dAQlp/9y+izcOcFB5bQndD2tY0s/MXLXPDKL7G483AT/vw9dqc/Fz9uchXX/uFMfvzgdG7+88X884a/0m42GaYbAle7Ritf/7VZZEIulFPLLwd3cNHZZrbx85bjufalvhpKRTtc+6LkrA+cvDXBxKIZ4ChyARJLoZPqE9ooPdizqq0rKuT7B+ZRPP5misbMx1KyAQjwKAr5XdcVFVI7fBgNZhFu9eG9YU2Ze1pcef22ZcvYccZ0th4+gR1nTI8pVx5L+ijWFX3oxK6g9x8DOWf1nGZ02mcwo0hLvDvmJ1z/4nB2P1VHTVkBdxXt4sDnFirVD6Epm0BNfX5PC2N2LqVq7wblDWBvYVnYam5FzTEU51v44Scvh71e3c46nqlbwVFbz8XqzkMABc5iv31xINKFPy+t6nauKqqmI28fQ3rDC8KBq12jZiSJxFIiOeMbR8ad9liyoZ6nV1XgKLjIr+rBWcb5o65m6j8exRmS8s93wg9XOvlj8W4oARRrA08g98zoFYDIa8VWvZhe4BsTZnPv8m3c0FrE3OJruKng3xR2N7Jg2DDspuCdj91lZ8Frv2RmR6dn5+R9b7GY84X2azh372b3jTfx1e/u5oDbbg1a1Ki6lefebSzhDZ3BG3g8kNCJXfGqfVST5Aay2idl3j7pZCA3eeUSobnV0EHXENDAFPIHsfHBF1mz3oTb3FcUNbl6ObZ8J6XL/x5W1/j9EV9nVUgjFXgM5D6dHxwIfL4y33jnl8qAbcRZ35sQ5sZpyTNRNsPOs9uf5eSPvxFUxBWihzOH3O+Xp27vnc6q9utwBvRBWPJMSVkPG3kEjSgr4OGFPwbl36Pk8EuM884zRtbQYA1fxxWI4ezf8cuwxrR7LprIHZvOVd44hZRsqt8Tt/eRkQ8UBH9mEvEICv1cBr6PeGScg5G0N3lpBgahudV4Bl2//0VpUOAHcJvz+Mh8lLKusX3itLDnAHV+1uclb6wMCafY0sKaha8pJ3DZ3xrC3Asv5P3DX/I3GplL3Jw5vYdx1Z/ha3oad8klnH75EUl5zodOv2pyv6U8b3drt3HOuVCROiso9zdoGfUOdLv3GObKDV06nS6/Cmj72kYW3rqa+69dycJbV0eUtUYqigZ+ZhKZEhc40yGwwU4H/uTQaR+Nn9AcqqpxCNR/6IYdn3s9f/ih2+cbR6pXc6r8rM/MzShVg5QeraQXk6uHo3qfYnXej9TX1NLD3NEzmfmT4JVm27Jl7Fh2AM4GN5bqA6g8tIBxsxJXtKhmIduqFyOB8zo6ucmyiBqxh91yOPebLlWrv8xuKiftD3u7i+0nYp7xRy48ZgRVBg6obkeZ8rp2t3bzl4CZDT5sbjfz9rUCsL3hkLjmFluqq/0rf2X6r2G953sJTokLnMEbC8nOkhgM6JW/xk/oqlvVOARq9YORAiS/p0XZLBPPas63Sl174As4TL1B3xOuHmrqXyffvhekJN++l/HbnqJo4wdxqVXS0eCjWuViclBWuZT51ocZadqDScBI0x7u4EFKD+r275KkEIhCGVTU9b9nAee6V/Lmcw+wZEO94YjHwk51rrqmrKDP6sMlEVJS7XBSu6eFmZ2e6TdruubGNbfYVywNtdTosQ3jo8MupWncdCAzU+KSnSUxWNDBX+PHp5YY32Pm6rZ8Pjzxt6w+6Tc0VvalDI3UD6qOT5OrhzE7lwLBW3+fKuSwS8/i0RW/Y+NUN6tvPoMLzas99gK1ZZ7/e7tPfcHt44r1vD76aX+qZn9eC+O3PcX4j//D1Lfv4IzXf8zUt++gqmkdzi4zU4qfUDSwObCdHLyShvQ0+BitZnstXX6nTR8F9MKrd/nVXz+Y+xceOOfrWA9Sq6UKRS/X8zT3Lt9mOOLxtlMvi6h+mTl6JiuOv4NN9XtYsWu3P/BjLaDDaaCGMtjh+WTLOw+9MMxSw23O59PRnglp0WYRJ8uSDfUseWxLXDeuwYpO+6SRWEYmppN4t74XHjOCzh1t7FnViEUCAnps5Xw0/jJAMNJSb6h+CFKG7LX3bfcDXBmdDQ1KVUjD7XfAF28HD13x2Q8A0z4v4K8PmChocbK3ZC1PnfYOq4/zBLWT31Z7HlgKXUjAbepFuj3ByG7uZPUhi9nVupnina6g30WqG3zqdtYhhEAlqDC0eAhouNrd2k0908ABC6wPBGa1/NSIvf5U3czRM3G0Hc3Guoe4qvcJaj68DHtBFSNOuIHrt4wNV78EWE1TMBQsBbRt7abpw6E4O8F2cht2a1nYa0bS+JfOmoW9bqXye53dJv91Amn5u/AVhq9zWUHR/hfrLInBgg7+aUKV7619qxYgIzeASL7+kW4Azo37PIE/ALcpjy+mXcPpUaYs+To+DSeAVVcbr7D/uZjS80NUMI5u2h6sZdebeRR5feMr2uGaFyXgYvURZp46TYRZHPdaoOfoiaxtvwo3fV3AFq/Pja/AGPh7CMxZh15zvPh+927pDvueVeRzuVEQCmjE8skbl7qncZNcpDRo2y2H+VN1SzbU8+ZzD3CXeIhCb2qssLuBY96/g9Wz/y9YueO1VvbfaLtbaPuyhIb3KpG93pkBO57jo8MuCyrix+LdE4vhW6RZxMngEyy0CwulilnGqWpOGyjotE+aSETVkErWPP9J3FvftmXL6NhrV34vnlVTpGYZx26DFXaHWnLc9LYDU2/wa9ucHl8hIMh22g3sKRXsu/xE3i+8NKw712dVDeEpmVQ2+IT+7g9tPo7L1t/JNWv+xNUfzmf4kDvpJiQQhTTXBTYs/cE5h64Qg7YumcefuMSfwtlY9xDzxQNh6SSLyx7u36Owmm7aYPMHfoCqpnWM3/Yk+b2eLupYlU7JGr4lg28X9IbNiSNExpqpa+hP6JV/mkhU1ZAq4vVb96Vj8o++1VOsCyGeVZNRs8yqkccytLCMyi7F5KtitbOjs0v9ER3W7lG9SFcBq8ebWH1EF9UBKYT7r1WnH4b0DOXpe5y0lpppK18W3rD2+9/h3NOGpdBJ5Uk9noEsMeJLs13Q8ks68vax9sAXADh15yX+fgJXu+CLrSP48pSHPLMNDAamBDYsLWudRrk1j3niX5Q6mtjtHsbDed9h2syr/SmcmxwPYBHhOw2AOmcLCwInrzlbCF13O7vC5aJVTes4oGkdn774/5g5+oyYfgbxNIalGt9u6aN8T1rNN8qyyyy4MInejIGKDv5pIpExhKkkXr91XzpmzM6lfHTYpUFFu0RWTSqP+3vnr2Ts4eeENY71mK3UfG8WKAatW4aX4tzTFvb8zQVldHzUNximwGrmRxdNZOboEf73qXr/+T0tmIDyNlfYWMDSg7opPfez4GvwjT2M0vAUmGYTeAbHnLrzEpyiN8wN1NnrZs17FYy7O3xQeiDB8saZwK8Bz9Dr2sATX70rbMXvo66okNqKcuzez2JDZwO1FeWA7Cvw4qmRqG60e0oIS5FFIxnDt2S48ezD/PLhj/I9//mawcYdowN/KDrtkybSrWqIRrzbb19h07PdfypIOplMR2sgu1u7eW3UcSw4+mK+KijDDXxVUMaCoy+m9LrfKSdLVf7ytjC/H7vZyqMTzg06Fmr0FU19BAo1jyIdorQ9VqBKs1ndedhcRcrzU1p8NBrGDiwoH4o9pFpsF4IF5cFqnspj7GHGcXaLx1AuU7vVZNHNYPGhV/5pwrdSeqZuBYft+Jpn+lOJZOzYI2F0+PmpbkqJd/sdWPCsalrnV+lYamoYO/mbCV9HIL5t+WujjguakTvC11/gnfIUSOkkWPfZPqz/fJBhXftoLijj0Qnnhs3YheAmtS15Ll4vcXPkXjcl0oTNvjdMfQTgaAgo8hoFUcXx0IlPHeNuRaUwMaLY0uKRtBrMyI0Lg2HsbmEy7P5ttJg9N9i2L0GYKR3VzqKhQzj3Dcmwdo+F9FOnCVYfYaY6Q7vVVBBvM9hgRgf/NDK2+ThO2lHkXxG62oVScZOoMica8Wy/0zVbIJDAbbmPaK6LSzbUc0tTJd0zbuu7LoNzA5Uvtyz+gG6ni7e8VvELX/49lZ2dYY/ZWyKo21nHzNEzaWuqoeltB84uM5ZCF5WT9nsarELskNuWLWPXbbf7C9HO3bvJP7BFWSuRSFy4sAT8qVlED1MKHyVoRi4kfgMwGMZumvVnqrY/bJB+rIZjrgp63LQD9vHzHwYbvmVyt6rJLDrtk0aMFDdvPf1hTOdlsiklHbMFQr1hJvSa496Wq7zcvS0IQQTeREIfYynZwL9O71WmNZ481ZPTblu2jIY3Ld68t8DZZWHXu2Xc0l7DpKEw4x9HUvfa7QB8/vv/F6ZAGrNzKSZXeCrHhAkhoNvcgUTSldfiGWQfONs4xtSSIZPm8O7EX9NIBW4paKSCdyf+GibNiZx+DElzzezsonbPXk/Xb0CzWCZ7UzSZQ6/804hRXrezS9C2rE9pEq8yJ10YDiJPAKPdzOmXjWf1zbEpR8DYy13iuXmorHtDH5NfsZzVIySYhHfYfHBaQ3Q20vTAn4KkjgAml+DcN+GFowQNZqj99DkADtnTFHY9vnTSlvHfBVNwqsUsLTjNvfztxNsQUnLjZ4oJaBHy9tFYsqGeW949iG5Hn4y44F0z94yq58JjIjRVtV0W9lwzO7uY2dntGT6jGdDo4J9GIilOmu570B9o41Xm9Aci7WbiSWUZebmPKCswvImEPkZYWwFPT8DqI8LPryqqwtmgDr6Bs3PtJsGCnc9xa0EZByhM76qa1rHl8CuUz+NzJK1SqzGNB97HQKRJVxceM8K4qcqgVpDMtWj6DzrtkyJU9rdTZo8JSwX4FCeBtgHJNMYkMj0pnveQKBF3My/8DH5dDrWlnv+/8DPD50lkOlPoY6SBuyX0pUCMOnn3lgR/3WiCpcfPxm4OnsTlaykyGhrvotPzWqO/rp6eNnYGXb8fj7u2jMf+MI4THzmRiYHjFb2oft+q3ZGlZAOtw+4MHtEYyvQ7qCspY8bIGiYdPIoZI2uoKymLeZKbpn+jg38KMHIRBJjQ9GKY42RV07qgYBPLKDsVqXSiTLUTotGupbigC9Y94hm3BZ7/r3vE8AaQiHwv9DGFnbOwivDrKc0r9ee0VR2+PqljIFVuOOVHl/N/x3wzSK667OApfFVQxuidSxHukHFcgMWdz23132Pmab8Jl7QedSnODU9S2N3AS0UF/F+FlW5LN4SMVzT6fX997wfBr1WyAVv1Ykx5reEjGgOoKy7yjHK0WpBC0GC1UDt8GHXFanmqZmChJ3mlgIW3rjZM21w4pUWpoknFoPZN007Fqsg/YzaD2x3XGLpI72Gu19MnHjlqaM4fvFOwCv7IuILXwx8gzHCnetUcZEJWOhLGzoAdKwy7Y0NlmJU3XM+bR5iimokFPs4xtICHT+5m1cS+HYTN7eby4rP56Tf/yCE31ynmYIFZCG5qduK0FId9z+Zo5cpHLgr6GXl+nnaKTc1MKX6CH4/7RDmVq7qomvsfcCn9hxzDK/nW6bf4Uz9FY+ZjymsNO88kTNw97W7/+55hMAeguqiaFRevULy7gUe2zRfTTaRJXjrnnwIipTjSNRd0yYZ6xqoCP/hn5vodMyHq60UrOscrRzXsM3hJEfihbycQSqgJWduXnp2CjxCppJFr6LTf3MXMKAEttOB96H9+xua25TRbBBVOybDmY/lr1wwOPLReGfgBXFLiNKtXznZLqf/fwT9PQYe7klXtP6Jo37+h8r2wxzZ2NuJsUDuYWvc2c89FE/2za03eGkcobukOMhfMtgVJtsm2+WK20cE/BUQr2KZSRePj3uXb+J1B4TEQXxdrtNeP9h4SKeAq+wz+a1YHeqFuRlJ23Ybik0pOmhPRlz/e38G/Pzmf+lbPEJJ2wCO89RRSzULgUuyazUJgc6rtkG3OPpsK5c8TGyd/eT4fK4J/VVEVlmr1yt9SXR3U3DTjmQXKFT0EO5pm24Ik20QyXxwMwV/n/FNANpwMd7d28+iEc8MKjypi8aSP9h5SJkc97or4jscqgfSel0pffiOZ6e7Wbr49eZTye9+ePIrjTrBhcgV77ZhcvRx3Ql9NwejnVtg7FJs7+KbgK0rH6jyq0vYH4lvZZ9uCJNsM9p1P1lb+QohzgAWAGXhYSjk/W9eSLNlwMqwpK+A1PBYHV2x5iYruVqQQmBWr0Vg86XdUrOftsX1WFF35bawZtZRnv9zNvIp5FJeXJSRHDa8T3MS444H1j3p2AMLsCfzn/1H9BEZyxFCECTYtStyXP7SuMP0OygrL2NcVXrytKSvgu9UVjOiqx91jJb+3hdGfLMViX8dLlnLqv38rU3Cz/t1W7JZSbM42jjvBxmeTj+KxH8zngnXPk3/Uz9TuqaY9/KTZwf+Vl9Ft6cbkGsr5o37gWYl6bUGipRB9q9Zb37w1bKbAoc3HcfKu2dy/ZiXF5WX84uTf8Ij9jynNeatqLqne+aaCwb7zyUrBVwhhBrYDZwG7gHeBb0spt6jOz/WCbzbwWxgE6Ltn7N7AvI3PBHWf+orLX1WeYHhzCs19+pi62cWlr0mGt8PuQ09lx6hv4g4YkmEyC6Z/9/D4i77xGMWF5vwjYS2grexKGv7+YlDqx26BRbOKmPaDXysDW91rt7Pgk2dpNJuocrqYt6+Vs+1u/tX7NU4XG/xD1v/gnMNS9zSuOrCSii3tOJ3BQ+PHb3uKspZ1/PP8fM6++ndBr7VkQz0v3vdPfrh+ETaXwz/rNtA91Slg/8QhPNmwN8wCIxGDstDf66HNx3HazkuwuIMHtKTKuA8Iq7lA6gQOqaZuZx3LH7qNi1f2+Bv/njkj/HfXn4lU8M1W2udE4GMp5U4pZS/wNDA7S9fSL1FJIM+74XuM/N1vwiwavqo8IaKMU5X7nLrZxTUvSiraPVYK5vZO3K5Qm4XIC4eU2FZMmhMujTz+SnWNwNFNae/zVP/gPBzFbiTQXAJ/O0/wwvgeat+8PVzuuLOO2s+eo8FiDpA7lrPcZuIy08tBQ9bnWx/mAtObmD8MDvzgmVP7yegLsDnh4pU9YUN77l2+jUs/qPNbWYe6p7YJNy/ZennkiybDhq14CZ3te/Ku2UGBH1JvI5KOWcjpYtpmN9e85Kai3RMIK9rhmpfcTNts1Ik3sMhW2mcEELiX3wVMDjxBCHE1cDXAgQcemLkrSwOxysnilZ0FFvm2r21kzX8+4YmWIopPuosps8cw1ruaW3Lr6ojFWlWO89LXgkcjfjL6AjAFf1ykC15ZuIWX/7lFmepKWZ3A5/bpS82s+wcY3XjadlFa+jy/uNYUJpm0S0dYMW/BewvCLY9NJhYMLQvyuwfP0PSbLItY4j5T+dI9+eWApys49Ge6u7WbipDivM89VQJNBWVsn3AuHyncSn2Pj4oidTVz0hz/+71/jXrAzf6WHg65uS7MJiMRUj0LOZUs2VDvV0TVlBXw1xf+H9aeEEuPHkdC4oD+SM6qfaSUDwEPgSftk+XLSZhY5WTJyM6iyTCjBWFV7jPQ1gD6AlsovpRyR0sPrzy+1f+akGLbihjTP9uZzZod53KBu8I/TevjivX+7zeGvE/Dop+BFXKN2Eu7kMoZsb7u3r0lwXnjtmXLeOzlewzdSAVwQHcr8zY+A6C0q/Y5lhqiksSGuIUa/T7257VSNP5OWh1l3LriXGBuwjeAVM5CTiWhadL61m7MBlLpXLhRZYJspX3qgUC5xEjvsQFHrLN8k5n5Gy29Ytht6z2uUn2E2hoY2RYEIp2Slf/Z7v86pSqoGCSf23uns2rPd+lwVwZN0zq0uS+YVjldnkDp+9qguFflVPcd7JbDeMPmRIrg7/tsO+wWT97Yp5jx5cCHd+6L6vZvczm4YstLER1LDYlhEI3q9+Ew9fLOgUsRAkx5rZgqn+F3rz8Z5UqNSeUs5FSi8j9qLihTnpvtG1WmyFbwfxcYK4Q4RAiRB1wCLI3ymH5JrHKyZGRn0Vb20YJwaG64NK+U588sDrJA9lgWq0cFBuLs6MsVJWpboSSi5NNTC1jT+8OwXHzg0Hab2828ln1BAVEpd5SSeWVH4ww53iXz+INzDp8Xw9DTR1Bc7AIk+T17OWzbU5jt61h0YXlQwVCVA49ERXcrl510YPzTqGIYRBP6+2jPa+X10U8H7YyEyUFXUeL+UOmwBk8FqrSZSiqdCzeqTJGVtI+U0imE+DGwHI/U8x9Sys2Zvo5MSNJilZMlIzuLll6JRYoa5vz4bWib0vfzGWnZzdDj3Lz/hee13EhMirVse8gQ8ZTNczV0oBxF3ezfc8/bf+SSbaor8jhqfnf9HRxY9jQzTa8g6faf53vPobWWaZvdfLr8U/8w92GTOhh6UBe35v2Hy489mBMuOAfmTAh4Fc+0s1PwpPBmeAemP73bEcd8L6BsCL/99NtsbzmENV1z6Wi10fafz9jea478c4zRoTPw9zHx0YnKyThGHcKxko6mxmRRucO+Nuo4ygvz+OEnL+e8LDUdZC3nL6V8EXgxW69vZAMA0a0Q4mHesfPCZJSqRppYz1MxZfYYpaQyML2iDMKKAmGgR47qj/ho7/8v/dVKTtwjsQZEDweSD4elZzO5fdRvWfNxDx2uYRSb9jCl+AlGFb7DFfZj2PL67WBy0JG3jyG94bUJgaCwdxitTVeyvaSHooKtvLuh3r+aDr3xhX02uiw0vVuCGUnVwc1UfXAnHDxUOXkrtHazp8SjIokFkWdl5BENbG84ilXtP8SJZ+cRyUqjbwHjwlJ4AJUT2z3Tx8DjFhrBobM0r5I2R3jeuzSvUvm++rMHjtEUuVN+dDljj7k5i1eWPQZth2+mJGmhKRWj6Uixnqci3vTK9rWNLPzFy9z/QDkLd/yK7V3T+gqEAfnwSMz5xmGsHOKiTbiReKSKK4e4mPONKLnpBNi+tpFVb5TR4aoATH4fnK1dp/BJxTYweRQbaw98AYfJODXlxMZbHZfze8eciNJJ5WfDZeLDLUOpKyoERze7nrmFqfNXsmRDcKkqtHbz1GkibIKYsFoRZWWeL8yewrKlpobqaU5KR7WzpuM7/sDvv3aFJDPY5ROcnWYa1g2l7bMCjyR21p8jjoa85aSfhbmdWkU+t5wU7LDqu6E1dDZEdAnNJtGszfVw93ByVu2TbjIpSTMcppHgeSpiTa/0KYM8QccXSAHPaEGvR040fH80gdK5G88+PC1/TEY+OB90XEyv5bf4che+3PXkL86nuHcoQpHT6HAPZ6l7GiKCdNLoM1DWDtcP9+wszu3YS31rN7cs9tgp+953aI1m9RFmwNMsV7FfRE4t1Jb5r1FFaGpPeZNyQtMXR1D66KuG78+HUcor9DOY6x44se7i9XD3YAZt8M9VSVq6MQqkazq+4wn+sXrpbFrEha/dxYX2XXCAL2UU+3jGWGlbtoyOvYUg1IG8yukK0vN/XLGejyvWc+n6X1PSWxb2mP15bRSPvxOTayh1O9UyWqPPxt6Svh6Ao/YXAsETs8BToyn6rMZ/A/LJTX970+6oNsldBVUUdjdQbNpDhzs89RKq2krFAiaWBUeue+Ck0sxvMDFo0z65KklLN4bKIN9qM5YRfj5NeduXgIw7ZRSIrziqmjjlW9EZyUyLTXuYt681zAhNuq28XdKMsATfMAJljdKyzzB1EW2wS6PFzB+cfbuj3a3dLNlQz9T5K8l77yJO3XkJQ3rL/XLT03ZewpU242ll4NGh39H5DbpkHlOKn8BCcDBTSWSNFiqJLGAipU0M5bA54oGTy41lucygDf65KklLN4aaf9OeqAVCPzFoymMhWi7Zt6IbtucDCPOgkhyc9y4zO7uo3dNCtcOJkJJ8RwEFbZfwvW+cz5mXH+5/v/sVskajPgrfZ6Ol1IybPosITwoH8pyFLHVP859fVmjllsUfUN/azcn7DsUaYqFgcedhf2tIxJ/Fvcu38UzvydzsuIpC21ZOLfkrBaY9SKRhDSdVC5hoE+Fy3f0zlTfBwcSgTftAbkrS0o1SGYSdKZUvRS0Q+olBUx4L0XLJvpXb3uETFWkfwWe9J3AqDzOzs6vPiqF0FNxwk/8sX8CctHCS0ovIKHVROmsWrUeYuD5EgSXdVlqbLvB/XWA1IyV+FUmJovMXolta+HToS93TWNo7zbMsKwGBnU/vnm54jZD8oKBoaZNYawPZovKG65VmcgN9F58sgzr4D0bUmv8JjJt8XuxPEqOmPBrRcsm+3LuRtYSyMGpwA0qkj0IV9KaWX86Kr0awm26/F84N/97of4yR9UM0SwuVDt13PBKpWMDEkjZJRoyQbtI1LW+go4P/ICTRxiu/1rtcUFUygnkt+/pW3LGmjAKIFpB9K7r8nhal971Asr3ra55CtQ+DG1CifRSOtqPp/Phm9rd2M6SsgKPOPow7bw5WjNy7fJs/cL9hc3JOtzWo/yEWS4u7inZhWfQgw7v20VxQxqMTzmXt6BPVtg5R+jPiZSCIHwbjLj5Z9AB3TUyoPP9tUlLb3MJMSzlMv4O64qK4UgPK5zTbgvob2pYtY+PDK9hSeV6Q970PC3ZOL3nAcwOwFvhTV6EOjjeefRjW0o3G16cIqEtcU5WNQfdcNJHTd73XN+x9WAV/GX0WK2qOAWB8j5lTe6yUuEVMg31UHvg9Zis7L7md/d01wV3ZBW+EG9wFvO9E6E8e/Jr40APcNUmjzM8LwS3lh+I49l9Yizcm5Epqs9j6ntdVSGv9LO7eVYDjbE8HbumsWZw6axbVaxt5ZeEWQgZT4cTGyq7L+fH4z2g0C6q2P8zUPT08vaoiyMHxlsUf8NgJu1jx5W5vgHfDuE7Pkxg4Ym6U19DtODHo9bodLt544HHGr32KhrKj+GTytfTkl3Nizz6qWup5vHwE+w/I4/A4rJFVOfd9w47iqy+H4DYFz2CgvI5xBKeH2nZA0/fvxNlZm1DKI9G0SX+Z2BU+TS69U/b6C3rlnyJy7QOW6nZ8o4KplOD65F6GHX6v0iqguqhaqW8PXfV7pobBsHZJc0EZT02cyXk3fC8ogN5/rdqPXiL525Tr+w64rXQ3XISz/Rj/oQtMb/L7vEcoIKDw6lsxv3qXsoaxyz2cab1/Dju+aPntdA45ImwSl8ndy/Qrj47797718AlhaqbVJ91lMOaxibmV1/i/bvusgIZ3S5GuPuFeJlbtEXcLB3WnNC2VDCmZJtePycVJXgMK3wfMaFJWpklHO75RYVQ6yuh2uGjrVXujGxV1A3cSfVPDJCY83vY/XL+INx54POgxRkXTjrx9wQdMDvIrlgcdusmyKDjwQ5881aBIXGPaqzw+pLuLT0ZfEJaGcpvyEpqKpcqtGxe5K4K+bto0JCjwQ2YmZxkqhH7/u5T1gKSClEyTG6Do4J8Ccu0DlsxsACNUWm/pttLTfDYAbkeZ8nFGN43Am0Lo1DDweNtfsO75oGNGfvRrD3wh7PlFiDNljdijvA7/6lSBvaCKAmvwUJcCqxlLocs4OMc7pQy1Xt/Wu095bnGx27Nj8eLsUg+dSXeDk6FCaE9bSnpAUkXKpskNQHTOPwVk+gOmKmZeeMwIf9GycShKO4TAgFu3s44Fb99DY2+rZ2h5azszOzo8OnnFNt2XMrpl1e9xm/cxdZONS193M7zzSZoL6lh88iTWTHkvZjVNoNIndGqYD/eQQ1l46+qgVNrpl43nrac/pLNLkN/Twsjdy3C3vssNH+Mfwv3UaYL/jR3G+B4zp9gtlEjBo6a/M634sWBlELDLPYyHO7/Br8wPYgm8YVoLKDz3Lu5xTQz7WVfutWLrasGuSsskMKVMlXM/bnIha7eYwp1avzkBCv7s37FYigXOjvDntFRXG6YiA3P1jopSHp0KLx/WgdtVgEmYwNzJ8V8dy+QvzsPlHE5xsZsp35wYlCYxVAgVOsOOAXH3gKSKlE6TG2DonH8K8AWoUIrL85l799SUvlboODrwrEYfO+FzTvjgTnB0M2NkTdj8WujLv9ftrKP2zduxy775pTa3m9o9LR7pZgT1yJIN9bx43z/54fpF/mHkAO68fJrnXcTdpW/GVGcIzPnff78zzPa4sfJ4Php/GW5TX7esJc/E5Ald2B68LSjlIAm2pbdb4Klp5zOCc4Ill6KH04fc778BdMk8bnZcxVL3NC7Oe4u7ip6lsLsxep560yI2/vk/rBHfD0r9WCyS0y8/ImW55FjqSEa5d/u1v2PtlsKwm4fq52e3BHcwH9p8HKfuvCSoUzn0vRnm/E/uobRSMZSvdBTc8GFyP5AE0Dl/45y/Dv4pIJMfsKnzVyqbgd62zaOKZgDqigqpHV6O3dSXIgmUUM54ZoZSX1/tcLJil3c1F+GPddO0U7Eq5p9aamoYuzK6m6QPX1H63MVfcvZ7wQF89Um/ocemSK1ISX5PC2N2LqWqyfgz8b8pd+HIV6zMLS1cPvwqdruH8QfnnCCbhhFlBay+OUZzuk2L2L64jjVN59LhriDP5mRVsZU1zu6UDEKPB5XqZsmacuWCxOZo5eTVt4Udby6B667zLBguW3+nci5C6GJGqfY5qDvlUtRkyTUxRibRUs80E8ukrFShGkcHUCmb/dHT13i1YGgZjRYzVcU1QavwmIaWR9imW/c2K4/Hm2eeOXom0za7adhyBzLQyEwIemxD1Q8Sgh7bMD467FIAwxuAI88gJ+8sZ4z9SYVuyfhnq2TSHMZNmsM4AndjnserrJ7TiarBqaNOrYyyW0qVxwNTb8W96p996M0kYmNVjqh9IIXT5AYYOviniEx9wIxsAJpEhX/lD/T53ZSOgiuCpZaGnbUBQ8vrKkaywDuKMDSFk8qOUOWMWymxOdqwW8sMH+c25/PJ6AsMg7+1t0W98i/Pp6aE2K0UYuimVQ0HD7V6ToRkVqxGuW6bs015vhQe1dXqI8yGE9FizpNPmpPVYK+JDa326WfcePZhSgXKl8feGKQCAQwtF+YdOw+bCB5cbXO7mbevFYC6kjJqh+QZSkVTaYdttFsYvWNJmLInFJ/iJnQVb7fAJ6XLwqZ6OUy9TJk9xvBnGGalEKN1tdGOIa6dRAjJyodVyihLnonjTrCF/e4AzBKueVEydbNLORHNYpFRLSo0/Qsd/PsZRuPoTrjgGk9etXQUICKO8Zs5eia1035DtbUUISXVDie1e1v9O4UFVaOCisEQLBVNpR220W5hpKU+aDSlivyeFiyFTtrH22kpATfQUgKPnyN48ZgNvD76afbntSCR7M9r4f3DX2Lc5KrYR/rFaF1tZL4WzZQtEsnKh41Gex597XlU/+Yu//jIQGxOuPQ1z0Cc9w/+F2ZLMyApLnaltJCtyQ10wVcThlE3r0Cwae6mlL5WLL4yqoK6A0lz0YfcVvxbCkXAKtVaQN3UH1C7678RPYNioraM8H0FgIDaVv9XRgqsZGbEGnUzA1z3YPIT01RdxQAIweFbtyT9/JrcQBd8+zGGmv4UE5hfvtz2a94a+XzQ4BNI/eQmn1pE2u2elajLhaWmJswjxrfiXPLYFgpdknYhecPm5CProex3XMWtef+hij3+nPzMSXNg50nJ21vEaF2tnmcc3HsRb/HTKGdvLnErzo6fgeDkqUkOHfxzmNAVZcpUJCEBafuo37LqjTL/yrrQXsppOy8B+oaip3pyU9iK3+Xy1w1U6aNxk6sYl+cKW2G/UjqE90YdRLuj0BPki4uYSYr856ffoZYtKuooyuHgCsM45/M/4bdLN7Ow48SIN/Mps8fwyuObkc4+AazD1MvrVc8yamcPM0fPTKog3N8GoPQXE7n+hM755zCRVCQJoyhirlnVE5ZftrjzOHnXbASC6qLq+FMmUYg0PcqI0Fx9RdVmbNWLaXM0pczDKIhJc2KuoyhR1AwsLjtX9T6BpO9mvmRDeFPUuMlVvHvY0qCaxeujn2brsLdZ8N6CpAvC/WmMabQxk5rE0Dn/HOaQm+uMMs58Oj/2QBzk8OlyM2/v3r4hLMD9jc9itA4IzC+nslkmFTnniM1q+81p15cv2VDPGw88zgXrnqeyuxXn8EoO+uUv+gKoQc3ALQWje570f23UXBap9vLzbX/NWFd5ttlxxnR1iirOpsLBiM7591MSHe0XSKh1coNZUDvcI5H03QCKTXvocFeGPbbY1AT3HQnT72B79ylBRdeOlh5eenQL737ewmVzJsT93lKRc47YrOaTZUJcN4BoVtiBN8Bet51zdnzEAd2tAFj3NLHrttsBr1+PQc1gtwzuPzCShEaadJYrhmWZSMfEMmZSEz867ZPDxKxHj4DS4dNkYsHQMv/XU4qfwCJCdN3YmVL8hD+IrvnPB+GpIQlfvNagTFtEIxW9AkYFaH+zWpxuktGssENTLXkmG5+M/RaNlX0LK1NvT1/qavodYb0XXTKPPziDb0ZGN3OVk6qv9mIkgc2kYVmm0jFGCwJdnE4OHfxzmJj16BGIxcphXOk6Tp9u9wYOSbGpqW80IoCjm44O9UdliJuEahCpyDkrg2NAsxoQl5tkNCtslfbe12kciH9FGlIz6Cqo5g55dZCfUKSb+czRM6k9uZbqouqw2otRE1cmG7ESqdskQiqbCjV96LRPjqNUkcSBYerADZ4ipkd+OG7ShYy7GMM8dbGpWZkaaheS3a32sOOxkOzQbV86ZsF7C2js2O2xpt7XGlTPMPLqV2F4o/QeN0qphHr7B61IA6wOCoFpG+pZE4d010i1lEk/KSMylY5JdMykJjI6+A9w5h07Tzkkfd7XakGl3jHIU0+pfImXvpqLJeC+4MCjt0+mkzVZ/MExVFYJhrJMIyLl2MFYe5/f0+L/tzsvP+KKNNmbeSDZNizLZK9AsgsFTThJpX2EEN8UQmwWQriFEMeHfO8WIcTHQohtQoizA46f4z32sRDi5mReXxOdSKkDJYo8NdYCxl00k+GnV9FukkgkbcLNfwscfF5MXDWItJGsLJPIOXZQ++W4pYvhu15FAo7hlYz83W8GTZDS6Zj+TVJSTyHE4XgsVf4G/EJKuc57fALwL+BEoAZ4BRjnfdh24CxgF/Au8G0pZURt32CVeibaHZrO101Hx3Gqh82n81q2r20MmiQ2dt8bHH3VjIwH/HR61MfzO9bNV7lN2oe5CCFeIzj43wIgpbzH+/VyoNZ7eq2U8mzVeUYMyuBvlMbI4lCMdBAqRYUEfXgyRCxeROkmncOD0uFTpMkekYJ/utQ+I4DAxPEu7zGj42EIIa4WQqwTQqxrblYPDxnQxOgo2d9Jx7D5dJIphUskknX8jERauso1OUnUgq8Q4hVAtZy4TUr5fOovyYOU8iHgIfCs/NP1OjmLkUQxS4Ow00U0hU2ukQsNR+ls8ErHbAJNbhI1+Espz0zgeeuBUQFfj/QeI8JxTSAxOkqmmoRyuN4agWzbxVcM557eb7Ku5KyY6gHRFDbxksr6gSqvngtumEaqo1Q0eKWiq1zTP0hX2mcpcIkQIl8IcQgwFngHT4F3rBDiECFEHnCJ99xBz5IN9Uydv5JDbq5j6vyVvDvmJzFP5koViXRsbvztn3nkPsH9Hy3gH5//ncYvJnGP9WGOa3/Z0LQskGgKm3iI1qEbM5sWsb12Lqv++V6YcVrnnJ9nVOFSt7OOGc/MYNLCScx4ZgZ1O+vS2uCViq5yTf8gWann14UQu4ApQJ23sIuUcjOwCNgC/Be4TkrpklI6gR8Dy4GtwCLvuYMaX5GtvrXb7/b43XcP4t2Jv05Kuhgv8eazNz74Ims+H4s9fxgIgT1/GGvMP2D7l1/jJsuimHLFcUtRI5CS+oG30L6m6VycBAd5Z6+b978ozZgbptHNbEfFeuWUrlSofVLRVa7pH2hXzxxg6vyVyq22kdtjLMSb/liyoZ5x3z4TofqmgdPmI1cuVg5Zt/Xs5XsH/oDRPU/G7UCaDLFOIIsok/z9IdDdErPTaapQpdu+2fN/atfSompWXLwi5degGXhkQ+2jiYNUF9niTX/4dh5NBWXK7xvls+2WUvXxvHK/c2Umc8WGRm8BxyP64G9aBN2ebt1i0x7lc6XDOM0o3TbmHXXKLFeL4Zr+hQ7+OUCqB4DHlP7YtMhj11xbxknPn8pZrtd5dMK52M3WoMcF5rND6xL5jjbl69t6W/iDc07Gc8Wx1A8iyiQDZLRTip/AQvDP0OTu5agDPe9ZlYtPFKN023deV+7DUj5OUxPO9rWNLLx1Nfdfu5KFt66OeUhOf0IH/xwg1UW2qPLJkGleVTQz3/owJQd1s+Doi/mqoAw38FVBmT+frapLbJdNmFzBVtAmVw9d8gPWl5yV8VxxLPWDiDLJABntuML/Mbn3YWz2vSAl+fa9jP/oSWwP3sZrj9yVmsKyFyOZ6NB2V8qK4ZrYSXZKWn9BG7vlABEHgCdAVPmkooGsUPRyk2UR00b9mddGHQd4aw6zzvBfW2jzz6IDRvHdli84yDEcu6UUm7ON406wcfS1d/GThK48eaLN7o0okwyR1xZt/ICTu7YGnScB60OLsP8oeFXu21klUqg2ko9aq2uoPflnOWN9MViItDvMppFeqtHBP0dIpdujoZOnb8Vo0ChWI/b6/x268zCqPzxePiJjBd1UMGX2GKU1wpTZY6AgeGC7s8usfI6yNheqP51Ec/GRhqmPTcUgek1c5MqUtHSjg/8AJMjnXrViNGggaxLDEaDceQyU5p/IPvheGa3X1M5SLHB2hD9Ha6n6ppBoLl771ecW6WyiyyW01HMwkoBp3K+WfMCTb38RJKS8OO8t7ip6lsLuxrhdR3PBDTKaHNbIxK3xJ1/nxvxl/caMLhWk00U010incV6m0QPcNcFMCl7hRgvcSzbU8+z6+qDAP9v0JnebHyGv27tCimNgemhQ9UkbgYzdAMIG23uLttC3czJakY+fNYvanccNmlx8aDD0FUCBfhcMYyEXpqRlAr3yz3FCV6enjDyFN3a9ERR0xjYfl1Zv958veh9XyOfkzbyfMlKlhS8oh19+GvE5d5wxXe2PU1PD2JWvJnyt8axOZzwzI7YGqiR8iwJJZKeTC7sjgIW3rjZMg8y9e2rGr0cTO3rl309RrU7/ve3f/u83dDawcMkSTttpQzo96pNUrsp88s7QwA9QI9RNUHS3eAJmhNV/Opwx412dxuQmGpAeE0AVzdxjfZib2+GWxR6Jayw3gER2OrmwO/IxWAqggw2t889hVM1aoRz72dn+wO8jnd7uPnbL4cYPjDJzwKhjOBlnzHg97mPpBo4kiY3H4z6RGQC5MDfAh1Ghc6AVQAcbOvjnMLFIB4t7hyqPp9PbHeBPXKJw0fESZeZAOma/xrs6jclNNIokNlb7jUR2OrkwN8BHOl1ENdljQKd9cmk2bCIYNWsF0pG3jyG95WHH0+ntPqHXzKHOs3mg4wyKTc1MKX6CcYX/6zvBaOaAN39e2rYLTq6haVMpzr3tKclnxyvPm7bZzSMPWbA0OdlTAi/NKGfa928N/nwYSGJj8S0KnIP7WGEZwzv3hZ0TaaeTC3MDfAyWAuhgY8Cu/FPm7Z5FVKvTUN47eDnCErwGT6e3+ySXlfN783F1OAFBh7uSVe0/YnvX1zwnGM0cCLGUKK2sZ+y5n3H4v2sZu/LVpPPY8axOffl0a1MrAqhoh7kvdDFtc3DaiOl3hM1U6JJ5UX2LQq0wHhl/TkTPJBXp2B0lw7jJVcy9eyrXPXgGc++eqgP/AGDABv/+NhtWhcqr5luHfSvo67kXXsiZlx+RMW/386QN6Qy+2TixsabjO5FnDqR5JvG4yVUxe9zHnE+fNMfzfkpHIRE0UsEtjqui+haF1kpeG3UcC46+mD1FQ2OeAVA6a1bG5gZoBicDVuoZq7e7Jj7uv3al4fci+tzXloGySiCgtjXJq4qPrYdPANXn3mBuQbwccnOd0TvtV1YYmv7PoPTzj0nNoYmbhJUfRnWANM8kVpEOtVEgqbbo1mjSwYAN/qmcDZtrpNJLPl4SVn4o8ucgYOyMuK8hdK5AtDnBoVTecD2NI6aw+qS7WHnqX1h90l00jpiSsnx6rs3BbVu2jB1nTGfr4RPYccb0iDOZNYOHAav2iWpu1k+JxZYgnSSs/Jg0B754G9b9g770j4T3n4IDT4rZE8hXTPXl1Otbu7ll8QdAbA1XAF9VnsC28YW4XJ7+iB7bMLaNv4wRlUegnk0WH6m26E6GXGoW0+QWAzbnnzBeOWIsnjfZIGZbglzkviOV0klKR8ENH0Z8qE+229DRgNtRRk/z2Tjbj/F/P555x0Z2BeZiC9f+v1Nieo7+QrqsNDTBpMOKIxVmeoMy558QIXJEv1nZpkXZvjI/MdkS5CpGzV9RmsICZbsIMOW1YqtejKVkg/+ceOYdGzV+OTsccaeQcp1cahYbqBjNYE4mvZaJaWI6+AeSZjliKujXhewEi74q2a4wOcivWO7/Op5iqlFxul3ImC0b+gvpLm5r0mPFEa9dSSLo4B9IgivTTNKvC9mqoq9RU1gARrsaYW0F4i+mTpk9BkeIGNOB5A2bM64dRH8g15rFBiLp2F1lwkxvcAX/TYs8eefaMs//Q9M5OSRHNCKWIeXJsH1tIwtvXc39165k4a2rUzu0OqBpCgRdBdXUyms45KmiiKodo12NdJQxoqwg7kHx4yZX8c5wQZtwI5G0CTf/LXDwUb4raAeRDVVVqpU5ulks/aRjd5UJM73BU/CNZXpVAhOuBhKZnGAUqtoBzwpeFchDFU6Q/OSsaK+fjteMhtHkMB2sc5t0/N5S9beoC74QWz4/ZGUa0a5gAJKJPKMPlV20kU1yOnY7KuuKwBtPNuxBcsnGWRM76dhdxWNXkigDVucfRqz5/ElzBk2wDyWTQzuMcutGx2eOnpnyFfeFx4wwTBdlQ1WllTn9l9JZs1K+Oxs3uSqtBnqDZ+XfD/L52SaTQzty3QIhG6oqrczRZJLBE/wTVJoMJjI5tCPXLBBCyYaqSitzNJkkqeAvhLhXCPGREGKTEOI5IURZwPduEUJ8LITYJoQ4O+D4Od5jHwshbk7m9eNikOfzYyETeUYf0XLu2SbdqioVWpmjySRJqX2EEDOAlVJKpxDi9wBSyl8KISYA/wJOBGqAV4Bx3odtB84CdgHvAt+WUkb00c2ovUOSBE5wyqanS06RZsuMvjZ4O122dt4a+TydB+/OqJdTOtr7NZpkiaT2SargK6UMNJN5G7jY++/ZwNNSyh7gUyHEx3huBAAfSyl3ei/sae+5yZuo5wCpMB0bcITKZ32WGZCSG0CwJE5QaC/l1J2X8DpPU2uvBdJveKfN0zT9kVTm/L8PvOT99wgg0MFrl/eY0fEwhBBXCyHWCSHWNTc3p/Ay00c88sVBQ5otM1TyVKs7j8lfnJ+xyW1aoqnpj0Rd+QshXgFUSd/bpJTPe8+5DXACT6bqwqSUDwEPgSftk6rnTSfxyhcHBWm2zDCSoRb3DgUyY3inJZqa/kjU4C+lPDPS94UQVwDnA9NlXwGhHhgVcNpI7zEiHO/31JQVUK8I9LkiX8wKpSMNbJxTI7EtLs9X3gA68vYBmTG8s1RXq22TtURTk8Mkq/Y5B7gJuEBK2RXwraXAJUKIfCHEIcBY4B08Bd6xQohDhBB5wCXecwcEuS5fzAppltiq5KkOUy9rD3whY4Z3WqKp6Y8k2+H7FyAfeFkIAfC2lPJaKeVmIcQiPIVcJ3CdlNIFIIT4MbAcMAP/kFJuTvIacoZcmuCUM/iKumlS+wRPFgtW+9Qem15ppg9fUVerfTT9icFj7KbRaDSDDG3sptFoNJogdPDXaDSaQYgO/hqNRjMI0cFfo9FoBiE6+Gs0Gs0gZNAMc6nbWceC9xbQ2NlIVVFVRk2/+htLNtSz6NltHLnXTYk0YSm2cMY3x6VvsITC+K3t8wItndRo0sigCP6h81gbOhuofasWSL/pV39jyYZ6/vHUZs7Yb8bq3Ri6Opy88vhWgNTfABTGb20Lfk7Du0ORvQ5AG6VpNOlgUKR9sjGPtb9y7/JtnNRhwooIOi6dMi2zfFXGb00bbP7A7399bZSm0aSUQRH8szGPtb+yu7WbEimU30vHLF+VwZuzy6w4URulaTSpZFAE/2zMY+2v1JQV0C7UXd/pmOWrMnizFLoUJ2qjNI0mlQyK4J+Neaz9lRvPPoy3i904CL4BCItIyyxflfFb5TF2RJ41+PW1UZpGk1IGRcHXV9TVap/o+EzoMqb2URi/lV50B2i1j0aTVrSxm0aj0QxQtLGbRqPRaILQwV+j0WgGIYMi559SFN2oyQwmWbKhXg9/yQKhHd9X2n6G/a0hdLT0UFyez5TZY9LX0ZwAbcuW6RqIJqXo4B8Pim5Ulv3U8+8EbgBLNtRzy+IP6HZ4pI31rd3csvgDAH0DSCOhHd9Fn9XQuBMsbk8fQ0dLD6ue/AhIQ0dzArQtW0bD7Xcg7Z7r1R3PmlSg0z7xoOhGxdHtOZ4A9y7f5g/8ProdLu5dvi3RK9TEQGjH9+Qvzsfizgs6x9nrTk9HcwI03fcnf+D3oTueNcmig388KLpRIx6Pwu7W7riOa1JDaGd3ce9Q5Xlp6WhOAKPOZt3xrEkGHfzjQdGNGvF4FGrKCuI6rkkNoZ3dHXn7lOelpaM5AYw6m3XHsyYZdPCPB0U3KtYCz/EEuPHswyiwBvvYFFjN3Hj2YYleoSYGQju+1x74Ak5Tb9A5ljxTejqaE6DyhusRtuAOdd3xrEkWXfCNB0U3ajJqH19RV6t9Mktox3fnwbupGg/2t/JzUu3jK+pqtY8mlegOX41Goxmg6A5fjUaj0QShg79Go9EMQnTw12g0mkGIDv4ajUYzCNHBX6PRaAYh/ULtI4RoBj7P9nVEYTiwJ9sXkQEGy/uEwfNe9fscWAS+z4OklBWqk/pF8O8PCCHWGUmqBhKD5X3C4Hmv+n0OLGJ9nzrto9FoNIMQHfw1Go1mEKKDf+p4KNsXkCEGy/uEwfNe9fscWMT0PnXOX6PRaAYheuWv0Wg0gxAd/DUajWYQooN/ChFC3CuE+EgIsUkI8ZwQoizb15QOhBDfFEJsFkK4hRADTjonhDhHCLFNCPGxEOLmbF9PuhBC/EMI0SSE+DDb15JOhBCjhBCrhBBbvJ/bedm+pnQghLAJId4RQrzvfZ+/jnS+Dv6p5WXgSCnlJGA7cEuWryddfAhcBLyR7QtJNUIIM3A/cC4wAfi2EGJCdq8qbTwKnJPti8gATuDnUsoJwEnAdQP0d9oDnCGlPAo4GjhHCHGS0ck6+KcQKeUKKaXT++XbQGLzHXMcKeVWKeVAnTJ/IvCxlHKnlLIXeBqYneVrSgtSyjeAlmxfR7qRUjZIKd/z/ns/sBUYcBOTpIcO75dW73+Gih4d/NPH94GXsn0RmrgZAXwZ8PUuBmCgGKwIIQ4GjgHWZvlS0oIQwiyE2Ag0AS9LKQ3fpx7jGCdCiFcA1Xy/26SUz3vPuQ3PVvPJTF5bKonlfWo0/QkhRDHwLHC9lLI929eTDqSULuBob73xOSHEkVJKZU1HB/84kVKeGen7QogrgPOB6bIfN1FEe58DmHpgVMDXI73HNP0YIYQVT+B/Ukq5ONvXk26klK1CiFV4ajrK4K/TPilECHEOcBNwgZSyK9vXo0mId4GxQohDhBB5wCXA0ixfkyYJhBACeATYKqX8Y7avJ10IISp8CkMhRAFwFvCR0fk6+KeWvwBDgJeFEBuFEA9m+4LSgRDi60KIXcAUoE4IsTzb15QqvAX7HwPL8RQGF0kpN2f3qtKDEOJfwBrgMCHELiHEldm+pjQxFbgcOMP7d7lRCHFeti8qDVQDq4QQm/AsYl6WUr5gdLK2d9BoNJpBiF75azQazSBEB3+NRqMZhOjgr9FoNIMQHfw1Go1mEKKDv0aj0QxCdPDXaDSaQYgO/hqNRjMI+f8BfRtQM1jbrZMAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "%matplotlib inline\n", - "# Your code here\n", - "X.shape, y.shape\n", - "flat=X.flatten()\n", - "I=flat[::5]\n", - "II=flat[1::5]\n", - "III=flat[2::5]\n", - "IV=flat[3::5]\n", - "V=flat[4::5]\n", - "\n", - "\n", - "plt.scatter(I,y)\n", - "plt.scatter(II,y)\n", - "plt.scatter(III,y)\n", - "plt.scatter(IV,y)\n", - "plt.scatter(V,y)\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r7vndSBAJceF" - }, - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "b4I9Z3epNvBM" - }, - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "kBtUcOVnJu-I" - }, - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "id": "dGnFNPJx3I28" - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, lr=0.001, n_iters=1000,coef_=np.random.randn(5,1),intercept_=0):\n", - " # Your code here\n", - " self.lr = lr\n", - " self.n_iters=1000\n", - " self.coef_ = np.random.random()\n", - " self.intercept_ = np.random.random()\n", - "\n", - " \n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " # Gradient Descent code goes here\n", - "\n", - " def fit(self, X, y):\n", - " self._X = X \n", - " self._y = y\n", - " \n", - " \n", - " \n", - " \n", - " errors = []\n", - " \n", - " \n", - " for i in range(self.n_iters):\n", - " self.gradient_decend()\n", - " errors.append(self.error())\n", - " return errors\n", - " \n", - " def gradient_decend(self):\n", - " \n", - " d_coef, d_intercept = self.gradient()\n", - " self.coef_ -= d_coef * self.lr\n", - " self.intercept_ -= d_intercept * self.lr\n", - " \n", - " def gradient(self):\n", - " yh = self.predict(self._X) \n", - " \n", - " d_coef = ((yh - self._y) * self._X).mean()\n", - " d_intercept = (yh - self._y).mean()\n", - " \n", - " return d_coef, d_intercept\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " # Code goes here\n", - " return X * self.coef_ + self.intercept_\n", - " \n", - " \n", - "\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "EvyInkTKPn7W" - }, - "source": [ - "### Initializing, Training & Predictions" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "id": "nvItUpAkHTiv" - }, - "outputs": [], - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "regressor.fit(X_train, y_train)\n", - "\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "tzK6cq8eRD4Q" - }, - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "id": "WqkrvDzcRF5m" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MSE: 4094.932568975969\n", - "Accuracy: -3980476.886391359\n" - ] - } - ], - "source": [ - " def mean_squared_error(y_true,y_pred):\n", - " # return the mean squared error\n", - " return np.mean(np.square(np.subtract(y_true,y_pred)))\n", - " \n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " return 1-((np.sum(np.square(y_true-y_pred)))/(np.sum(np.square(y_true-(np.mean(y_true))))))\n", - " \n", - "\n", - "mse = mean_squared_error(predictions,y_test) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(predictions,y_test) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [ - { - "file_id": "1lHTeY0ieI9TWcR88yhQV1EwsX7n5PSJq", - "timestamp": 1653960498237 - }, - { - "file_id": "1DG_xMAsAlibZtSw7T_p6dzV8CRejNM9o", - "timestamp": 1653919622477 - } - ] - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.2" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/Assignment 1/Aditi_Chouhan_200040_Assignment_1.ipynb b/Assignment 1/Aditi_Chouhan_200040_Assignment_1.ipynb deleted file mode 100644 index f052c60..0000000 --- a/Assignment 1/Aditi_Chouhan_200040_Assignment_1.ipynb +++ /dev/null @@ -1,391 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Aditi_Chouhan_200040_Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 1, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "X_train.shape" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "wrKv1oIVpQNj", - "outputId": "9d1e1b34-0e53-496e-af6b-5bb3e74245a6" - }, - "execution_count": 8, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(80, 5)" - ] - }, - "metadata": {}, - "execution_count": 8 - } - ] - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.subplot(5,1,1)\n", - "plt.scatter(X[:,0],y)\n", - "plt.title(\"Feature 1\")\n", - "\n", - "plt.subplot(5,1,2)\n", - "plt.scatter(X[:,1],y)\n", - "plt.title(\"Feature 2\")\n", - "\n", - "plt.subplot(5,1,3)\n", - "plt.scatter(X[:,2],y)\n", - "plt.title(\"Feature 3\")\n", - "\n", - "plt.subplot(5,1,4)\n", - "plt.scatter(X[:,3],y)\n", - "plt.title(\"Feature 4\")\n", - "\n", - "plt.subplot(5,1,5)\n", - "plt.scatter(X[:,4],y)\n", - "plt.title(\"Feature 5\")\n", - "\n", - "plt.show()\n", - "# Your code here" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 101 - }, - "outputId": "600b2864-4248-4f3c-929f-8a3e646b3433" - }, - "execution_count": 64, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.01, n_iters=10000):\n", - " # Your code here\n", - " self.learn = learning_rate;\n", - " self.iter = n_iters;\n", - " self.w = np.random.random(X_train.shape[1]);\n", - " self.b = 0;\n", - " \n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " # Gradient Descent code goes here\n", - " N = X.shape[0]\n", - " # print(N)\n", - " # print(np.square(y-(np.dot(X,self.w)+self.b).reshape(-1,1)))\n", - " cost = (1/N)*np.sum(np.square(y-(np.dot(X,self.w)+self.b).reshape(-1,1)),axis=0);\n", - " # print(cost);\n", - " # print(-X*np.square((y-(np.dot(X,self.w)+self.b)))[:,None])\n", - " for i in range(self.iter) :\n", - " dw = (2/N)*np.sum(-1*X*(y-(np.dot(X,self.w)+self.b).reshape(-1,1)), axis=0);\n", - " db = (2/N)*np.sum(-y+((np.dot(X,self.w)+self.b).reshape(-1,1)), axis=0);\n", - " self.w = self.w-self.learn*dw\n", - " self.b = self.b-self.learn*db\n", - " \n", - " # print(self.w)\n", - " # print(self.b)\n", - " # print(cost)\n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " # Code goes her\n", - " return np.dot(X,self.w)+self.b\n", - " # pass # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 158, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "# print(np.dot(X_train,regressor.w))\n", - "# y_train = y_train[:]\n", - "y_train = y_train.reshape(-1,1);\n", - "# print(y_train.shape)\n", - "regressor.fit(X_train,y_train)\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 159, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "predictions" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "B_kbHnBV24_u", - "outputId": "d60b7bcd-537a-491f-f4a8-ecb424c5aa54" - }, - "execution_count": 160, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([ 207.90288602, -123.30753064, 78.36331292, -144.89131576,\n", - " 0.59146132, -61.4096294 , 42.99351375, 23.13379989,\n", - " -134.95991245, 143.72552576, 76.94489743, 123.3435483 ,\n", - " 34.00548086, 90.25352353, 58.96486393, 86.1167232 ,\n", - " 201.84413768, 68.22770101, 95.03409129, -65.65839881])" - ] - }, - "metadata": {}, - "execution_count": 160 - } - ] - }, - { - "cell_type": "code", - "source": [ - "y_test" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "WkZ2gsTK4GeZ", - "outputId": "9726cb2a-b8ec-49de-9ab6-7036027ddd86" - }, - "execution_count": 161, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([ 231.52987097, -127.73130463, 82.03512178, -114.56084875,\n", - " -40.94506552, -46.3723945 , 17.14558018, 36.59841286,\n", - " -144.50935547, 172.29644855, 52.02363624, 150.91337265,\n", - " 24.4817991 , 77.51790564, 62.62990566, 76.3859825 ,\n", - " 195.3197199 , 47.75398372, 78.13610249, -76.28526953])" - ] - }, - "metadata": {}, - "execution_count": 161 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "import sklearn.metrics as sk\n", - "\n", - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " return sk.mean_squared_error(y_true, y_pred)\n", - " # return (1/y_true.shape[0])*np.sum(np.square(y_true-y_pred), axis=0)\n", - " # pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " return sk.r2_score(y_true, y_pred)\n", - " # pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(predictions, y_test) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(predictions, y_test) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "f7942308-e305-44cb-c807-881cfe934157" - }, - "execution_count": 162, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 391.0960196890423\n", - "Accuracy: 0.9606065973728906\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/CV_WITH_TENSORFLOW ASSIGNMENT 1.ipynb b/Assignment 1/CV_WITH_TENSORFLOW ASSIGNMENT 1.ipynb deleted file mode 100644 index 1f69df3..0000000 --- a/Assignment 1/CV_WITH_TENSORFLOW ASSIGNMENT 1.ipynb +++ /dev/null @@ -1,336 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 2, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "for i in range(5):\n", - " plt.scatter(X[:,i],y)\n", - " plt.show()\n", - "\n", - "\n", - "# Your code here" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "705b392d-6a37-4c5d-a58e-bc3a2d522767" - }, - "execution_count": 4, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.05, n_iters=5000):\n", - " # Your code here\n", - "\n", - " # pass # Uncomment this when you're done with this function\n", - " self.learning_rate=learning_rate\n", - " self.n_iters=n_iters\n", - "\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " # Gradient Descent code goes here\n", - " # pass # Uncomment this when you're done with this function\n", - " a,b=X.shape\n", - " self.weights=np.zeros(b)\n", - " self.bias=8\n", - " \n", - " for i in range(self.n_iters):\n", - " y_new=np.dot(X,self.weights)+self.bias\n", - " grad_weights=(np.dot(X.T,(y_new-y)))*(1/a)\n", - " grad_bias=(np.sum(y_new-y))*(1/a)\n", - "\n", - " self.weights-=self.learning_rate*grad_weights\n", - " self.bias-=self.learning_rate*grad_bias\n", - "\n", - "\n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " y_predicted=np.dot(X,self.weights)+self.bias\n", - " return y_predicted\n", - " # pass # Uncomment this when you're done with this function" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 5, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "\n", - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "regressor.fit(X_train,y_train)\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test) # pass appropriate part of dataset" - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 6, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " # pass # Uncomment this when you're done with this function\n", - " return np.mean((y_true-y_pred)**2)\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " e1=np.sum((y_true-y_pred)**2)\n", - " mean=np.mean(y_true)\n", - " e2=np.sum((y_true-mean)**2)\n", - " return 1-e1/e2\n", - "\n", - "\n", - "mse = mean_squared_error(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "b453fcb2-4a7e-45f4-90a9-c1eacd2ad6e9" - }, - "execution_count": 12, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 391.09601968904747\n", - "Accuracy: 0.9630262543923742\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "O2ySIvmZYbmT" - }, - "execution_count": null, - "outputs": [] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/Copy_of_CV_with_TF_Assignment_1 (1).ipynb b/Assignment 1/Copy_of_CV_with_TF_Assignment_1 (1).ipynb deleted file mode 100644 index 2db2c81..0000000 --- a/Assignment 1/Copy_of_CV_with_TF_Assignment_1 (1).ipynb +++ /dev/null @@ -1,338 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 55, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "for i in range(0,5):\n", - " cmap = plt.get_cmap(\"viridis\")\n", - " plt.scatter(X[:,i],y,color=cmap(0.2*i),s=10)\n", - " # plt.scatter(X_train[:,i],y_train,color=cmap(0.2*i),s=10)\n", - " plt.xlabel(\"input\")\n", - " plt.ylabel(\"output\")\n", - " plt.show()" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "outputId": "353b9bce-d2c1-41b6-9032-56bc6ffd84e1", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - } - }, - "execution_count": 56, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " self.r=learning_rate\n", - " self.epoc=n_iters\n", - " def fit(self, X, y):\n", - " n,m=X.shape\n", - " self.w=np.random.rand(m)\n", - " self.b=1\n", - " for i in range(self.epoc):\n", - " y_new=np.dot(X,self.w)+self.b\n", - " grad_w=((2/n)*(np.dot(X.T,(y_new-y))))\n", - " grad_b=((2/n)*sum(y_new-y))\n", - " self.w-=(self.r)*grad_w\n", - " self.b-=(self.r)*grad_b\n", - " def predict(self, X):\n", - " return np.dot(X,self.w)+self.b" - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 57, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "\n", - "regressor = LinearRegression(learning_rate=0.00021, n_iters=10000)\n", - "regressor.fit(X_train,y_train)\n", - "predictions = regressor.predict(X_test) " - ], - "metadata": { - "id": "nvItUpAkHTiv" - }, - "execution_count": 58, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(predictions,true):\n", - " return np.mean((predictions-true)**2)\n", - "def r2_score(predictions,y_test):\n", - " a=np.dot((y_test-predictions),(y_test-predictions))\n", - " b=np.mean(y_test)\n", - " c=np.dot((y_test-b),(y_test-b))\n", - " return np.sum(1-a/c)\n", - "mse = mean_squared_error(predictions,y_test) \n", - "print(\"MSE:\", mse)\n", - "accu = r2_score(predictions,y_test) \n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "79329d65-2ad0-4e27-d3a3-43f4735fb863" - }, - "execution_count": 59, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 385.94847698119463\n", - "Accuracy: 0.9635128968663526\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.scatter(X_test[:,2],predictions,c=\"red\", label='predicted')\n", - "plt.scatter(X_test[:,2],y_test,c=\"blue\",label='actual')\n", - "plt.legend()\n", - "plt.xlabel(\"input\")\n", - "plt.ylabel(\"output\")\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 283 - }, - "id": "m0ynkraJes6i", - "outputId": "e76e1565-acab-4a08-c090-fec659d86873" - }, - "execution_count": 60, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "oOh3pmlsgpvS" - }, - "execution_count": null, - "outputs": [] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/Copy_of_CV_with_TF_Assignment_1.ipynb b/Assignment 1/Copy_of_CV_with_TF_Assignment_1.ipynb deleted file mode 100644 index c1d2f30..0000000 --- a/Assignment 1/Copy_of_CV_with_TF_Assignment_1.ipynb +++ /dev/null @@ -1,507 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": 2, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "X_test\n", - "y" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "aj5H6pjUxLLR", - "outputId": "f2cf1d44-e854-410d-cdb8-9f980e3961f6" - }, - "execution_count": 29, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([ 8.33448457e+01, 4.77539837e+01, 2.66352862e-02, 1.22690761e+02,\n", - " -5.77153801e+00, -1.56483934e+02, -5.52555366e+01, 3.07987684e+01,\n", - " -1.69940639e+01, -5.63502574e+01, -1.84431633e+02, 8.56011139e+01,\n", - " 1.36489172e+02, -1.67194108e+02, 1.73261512e+01, 6.74504234e+01,\n", - " -4.84580304e+01, 2.96788589e+01, -1.73274522e+02, -6.66296333e+01,\n", - " -7.81136180e+00, -7.94210842e+01, -1.20995302e+02, 1.78426827e+02,\n", - " 1.03430635e+02, 4.09960819e+01, 9.39541011e+01, 3.65984129e+01,\n", - " -2.61832451e+02, -1.17161342e+02, -4.19224399e+01, -4.50040488e+01,\n", - " 2.53143963e+02, 5.20236362e+01, 1.72631259e+02, -1.27731305e+02,\n", - " 1.50482514e+02, 1.12275673e+02, 1.15330813e+02, -1.44509355e+02,\n", - " 2.31529871e+02, 1.08328931e+02, 1.72296449e+02, 6.20762708e+01,\n", - " 1.00973347e+00, 8.65118988e+01, -1.40008967e+02, 1.77600209e+01,\n", - " 9.59100985e+01, 8.72167836e+01, -1.44507264e+02, 1.56001491e+02,\n", - " 7.60500665e+01, -1.01968886e+02, 1.08758569e+02, -2.31018977e+00,\n", - " 6.26299057e+01, 5.26754527e+01, -8.36215419e-01, 1.50913373e+02,\n", - " -2.35805794e+02, -1.14560849e+02, 1.48815661e+02, 2.44817991e+01,\n", - " 2.04981579e+02, -5.70746631e+01, 7.12743541e+01, -2.94297118e+01,\n", - " -4.63723945e+01, 8.44129111e+01, 2.67384657e+01, 7.81361025e+01,\n", - " 4.63116755e+01, 1.27863697e+01, -1.68624433e+01, -2.02564843e+02,\n", - " -9.57021723e+00, -2.15833132e+01, -6.26388866e+01, -2.03232407e+01,\n", - " 1.68881719e+02, 8.20351218e+01, -7.62852695e+01, -5.55346942e+01,\n", - " 1.36780517e+02, 1.71455802e+01, 1.12307656e+01, 7.63859825e+01,\n", - " 7.19825174e+01, -8.71517113e+01, 1.28122197e+00, 6.07361008e+01,\n", - " -8.58007294e+01, -2.70340355e+01, 7.75179056e+01, 5.67873844e+01,\n", - " 1.95319720e+02, 2.32659550e+02, -4.09450655e+01, 4.58748406e+01])" - ] - }, - "metadata": {}, - "execution_count": 29 - } - ] - }, - { - "cell_type": "code", - "source": [ - "y_test" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "7aJDVW2Zeuzx", - "outputId": "b6a1bd87-f475-4d64-fcce-f9d0134e3243" - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([ 231.52987097, -127.73130463, 82.03512178, -114.56084875,\n", - " -40.94506552, -46.3723945 , 17.14558018, 36.59841286,\n", - " -144.50935547, 172.29644855, 52.02363624, 150.91337265,\n", - " 24.4817991 , 77.51790564, 62.62990566, 76.3859825 ,\n", - " 195.3197199 , 47.75398372, 78.13610249, -76.28526953])" - ] - }, - "metadata": {}, - "execution_count": 3 - } - ] - }, - { - "cell_type": "code", - "source": [ - "print(len(X[0]))\n", - "print(y.shape[0])\n", - "len(X)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "HOq0mL8Slqd0", - "outputId": "43af1113-99ea-43ac-e876-89808c5b4649" - }, - "execution_count": 33, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "5\n", - "100\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "100" - ] - }, - "metadata": {}, - "execution_count": 33 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "X_test[0,1]\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Ucz7tt0w2BJV", - "outputId": "af4c9a71-cab4-400d-8b9d-30e58f01b3ab" - }, - "execution_count": 4, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "1.9378714030365307" - ] - }, - "metadata": {}, - "execution_count": 4 - } - ] - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code here\n", - "plt.plot(X_test[0:,0],y_test,'o')\n", - "plt.show()\n", - "plt.plot(X_test[0:,1],y_test,'o')\n", - "plt.show()\n", - "plt.plot(X_test[0:,2],y_test,'o')\n", - "plt.show()\n", - "plt.plot(X_test[0:,3],y_test,'o')\n", - "plt.show()\n", - "plt.plot(X_test[0:,4],y_test,'o')\n", - "plt.show()" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "7895054b-02fe-4f55-9af3-c3299f72552e" - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001,n_iters=1000,weights=np.random.randn(5,1),bias=0):\n", - " self.learning_rate=learning_rate\n", - " self.n_iters=n_iters\n", - " self.weights=np.random.randn(5,1)\n", - " self.bias=bias\n", - " pass \n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " for i in range(1,self.n_iters+1):\n", - " y1=np.dot(X,self.weights)+self.bias\n", - " m=y.shape[0]\n", - " #J=(1/(2*m))*np.sum(np.square(y1-y))\n", - " dy1=(1/m)*(y1-y)\n", - " dw=np.dot(X.T,dy1)\n", - " db=np.sum(dy1)\n", - " self.weights=self.weights-self.learning_rate*dw\n", - " self.bias=self.bias-self.learning_rate*db\n", - " # Gradient Descent code goes here\n", - "\n", - " pass \n", - " \n", - " \n", - " # This function will be called after our model has been trained and we are predicting on unseen data\n", - " # What is our prediction? Just return that\n", - " def predict(self, X):\n", - " return np.dot(X,self.weights)+self.bias\n", - " # Code goes here\n", - " pass " - ], - "metadata": { - "id": "dGnFNPJx3I28" - }, - "execution_count": 50, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Initializing, Training & Predictions" - ], - "metadata": { - "id": "EvyInkTKPn7W" - } - }, - { - "cell_type": "code", - "source": [ - "# Now, we make an object of our custom class.\n", - "regressor = LinearRegression() # You may pass the custom parameters or let the default values take it ahead\n", - "regressor.fit(X_train,y_train)\n", - "# Call the fit method on the object to train (pass appropriate part of dataset)\n", - "\n", - "\n", - "# Now, let's see our what our model predicts\n", - "predictions = regressor.predict(X_test)\n", - "y_pred=predictions\n", - "print(y_pred)\n", - "y_pred.shape[0]" - ], - "metadata": { - "id": "nvItUpAkHTiv", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "1e135f84-cdff-4c9b-b9a4-6664141384ac" - }, - "execution_count": 57, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[[ 8.91022182 19.54019162 5.86612168 ... 17.50428616 8.95104754\n", - " 12.62005716]\n", - " [ 29.42141132 -18.71768331 43.20698434 ... -9.49784097 29.23652715\n", - " 12.62097656]\n", - " [ 22.49812955 -5.23890449 30.44117275 ... 0.07343224 22.39160203\n", - " 12.81796763]\n", - " ...\n", - " [ 7.95690914 26.19384207 2.73440605 ... 22.70101264 8.02695035\n", - " 14.32155734]\n", - " [ 10.01283856 19.03428328 7.42937109 ... 17.30645066 10.04748654\n", - " 13.16130229]\n", - " [ 22.34731709 0.94238103 28.47703996 ... 5.04196241 22.26510878\n", - " 14.87704299]]\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "20" - ] - }, - "metadata": {}, - "execution_count": 57 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the model \n", - "\n", - "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." - ], - "metadata": { - "id": "tzK6cq8eRD4Q" - } - }, - { - "cell_type": "code", - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " return np.mean(np.square(np.subtract(y_true,y_pred)))\n", - " # return the mean squared error\n", - "pass # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " return 1-((np.sum(np.square(y_true-y_pred)))/(np.sum(np.square(y_true-(np.mean(y_true))))))\n", - " # return the r2 score\n", - "pass # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test,y_pred) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,y_pred) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "WqkrvDzcRF5m", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "7590f4fb-e8c0-4e99-8100-9ea2b86e1206" - }, - "execution_count": 58, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 1.3361849775399093\n", - "Accuracy: 0.9941399586591607\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 1/Parul_CV_with_TF_Assignment_1.ipynb b/Assignment 1/Parul_CV_with_TF_Assignment_1.ipynb deleted file mode 100644 index b7ac33d..0000000 --- a/Assignment 1/Parul_CV_with_TF_Assignment_1.ipynb +++ /dev/null @@ -1,624 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Parul_CV with TF: Assignment 1.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "### **Aim** \n", - "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." - ], - "metadata": { - "id": "RB2d1J1f1CF7" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Generating the dataset \n", - "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" - ], - "metadata": { - "id": "a_S80lf6H4Xv" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "yX0zqXcHIQHP" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "X_train.shape" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "yDyR3HlQ4gJo", - "outputId": "6875932f-5624-4519-bb4e-f734c8d657f9" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(80, 5)" - ] - }, - "metadata": {}, - "execution_count": 2 - } - ] - }, - { - "cell_type": "code", - "source": [ - "y_train.shape" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "3NxeKYh24kno", - "outputId": "78e572b2-62f1-4e85-cf86-e32d2fbbac2c" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(80,)" - ] - }, - "metadata": {}, - "execution_count": 3 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Visualizing the data \n", - "Use `matplotlib` to visualize the given data." - ], - "metadata": { - "id": "Zj4rrRXGJBXy" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.scatter(X[:,0],y)\n", - "\n" - ], - "metadata": { - "id": "zxfi8dkBJOUi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "0a304a51-9f60-457b-a7e5-94b488b61728" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 4 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "You should be able to see the linear relations between `y` and the features in vector `X`." - ], - "metadata": { - "id": "r7vndSBAJceF" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Gradient Descent Review \n", - "1. #### Cost function\n", - "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", - "\n", - "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", - "\n", - " where `N` is the number of samples \n", - " \n", - "\n", - "\n", - "2. #### Compute the derivative\n", - "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", - "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", - "3.

Update current parameters

\n", - "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", - "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", - "4.

Repeat until it fits good enough

\n" - ], - "metadata": { - "id": "b4I9Z3epNvBM" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Model definition\n", - "\n", - "Complete the functions in the class below. Hints provided at appropriate places." - ], - "metadata": { - "id": "kBtUcOVnJu-I" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "class LinearRegression:\n", - "\n", - " # The __init__ is called when we make any object of our class. Here, you are to specify the default values for \n", - " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", - " # Hint: Google what a `self pointer` is and figure out how it can be used here.\n", - " def __init__(self, learning_rate=0.001, n_iters=1000):\n", - " \n", - " # Your code here\n", - " self.n_iters=n_iters\n", - " self.learning_rate=learning_rate\n", - " self.w=np.zeros(5)\n", - " self.b=0 # Uncomment this when you're done with this function\n", - " return\n", - "\n", - " # The following function would be the heart of the model. This is where the training would happen. \n", - " # You're supposed to iterate and keep on updating the weights and biases according to the steps of Gradient Descent.\n", - " def fit(self, X, y):\n", - " w=self.w\n", - " b=self.b\n", - " j=0\n", - " n_iters=self.n_iters\n", - " while(j Date: Wed, 23 Aug 2023 17:27:16 +0530 Subject: [PATCH 15/35] Delete Assignment 2 directory --- Assignment 2/200418_Ass2.ipynb | 712 ------ Assignment 2/200487_A2.ipynb | 767 ------ Assignment 2/200816_A2.ipynb | 565 ----- Assignment 2/A2_200014.ipynb | 1090 --------- Assignment 2/A2_200064.ipynb | 953 -------- Assignment 2/A2_200081.ipynb | 567 ----- Assignment 2/A2_200104.ipynb | 399 --- Assignment 2/A2_200132.ipynb | 652 ----- Assignment 2/A2_200135.ipynb | 488 ---- Assignment 2/A2_200148.ipynb | 577 ----- Assignment 2/A2_200155.ipynb | 1106 --------- Assignment 2/A2_200171.ipynb | 1 - Assignment 2/A2_200244.ipynb | 828 ------- Assignment 2/A2_200526.ipynb | 1136 --------- Assignment 2/A2_200537.ipynb | 968 -------- Assignment 2/A2_200551.ipynb | 997 -------- Assignment 2/A2_200665.ipynb | 3939 ------------------------------ Assignment 2/A2_200674.ipynb | 1 - 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"nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "CVusingTF_Assgn2.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "for i in range(0,5):\n", - " plt.scatter(X[:,i],y)\n", - " plt.show()\n", - "\n", - "# Your code here" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "outputId": "3a46b2d1-580d-42a4-9766-513e91206eeb", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - } - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" 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SImiEr9TCri2jePWfxN+ovuqSlUt6y7u2jOLB8W0YHR66qHqmOzfeb0lnFctSJqnLSF5Xq5lJOt5W+4h0mzkXX+aZtRfevb1XqiWurNL1PDq+j+RVRZL/1POX2sja2y6id969tm9nEKtD79sVVST5Tz1/qY2sve0ieufLBbEHx7cp2CdQRZL/FPylNjpLIVszsxggl/QmuwNxEYvGK4j1RxVJ/lPwD1CdpwZotzNtPjlvblxBrD+un4lIb8r5ByYph12nSowq88kqq+xPXSqSQqaef2CasMh3Usql1/z//SgidRQq3yuSQqfgH5i8OWwfUkZJqRhG7Su6PQpi0kRK+9Rc1oE0ecoffUkZ7dm+6aL5/YHFkbwqJRRJR8G/xvoJxnly2L7Ubu/aMho77z2gKpwiaYRusyn411g/wTjPgzifyh5HHU6vEAJf7vKkPMr511i/wbjfHLZPZY8qJSxXEwoDZHnq+ddYP/n7PLfyPpU9qpSwXD7d5Uk51POvsay937yTbflW9pjlDqZXlZIPVUw+8ekuT8qh4F9jWYLx5HQLtx54BAu29FFp1lv5OpY99rro9XNRbPrFQmm15lPwr7k0wbgd3LoDf1vTb+V75a+z5rdDmK7Yt7s8KZ6CfwB6LX7e9Fv5XvnrIhd9b1JwrONdnqSn4B+A5Xr2IdzK98pfL7c/Lr2T5WLR9PSQ1JeqfQKQ1LMfIIOokOlVpZS0/51XjsTWug+vHox9ne7zrFp58ZmCfwDigtvgCuJPh1bilruPN370Zq+y0KT9Dzx5Nja9Y4ZUJa++jIgWiaO0TwC6H969dmgQL740j+ejNXGb+MCyW6/8ddz+W+4+HnvsC7Nz+Pe/+6ue6RzVyovPFPw9U1aOuDO4bZ04ipnZpYuhN/GBZV7LPQtI8zBUtfLiM6V9PFJVjlg90nTyjmj2aUS0SDf1/D1SVQlhE3ukZdwx5a11V628+EzB3yNV9cibNnqzzEFXeWvdVSsvvlLaxyN5FlrJommToqmqRiQ79fw9UmWPvEk9Uj3DEMlOPX+PNK1HXpWq7phEmkQ9f880qUdelaY9wxCpgoK/1J6qakSyyxX8SX4YwOcB/CWAq81sqmPfbQBuBLAA4J/N7HC0fQeALwMYAPB1M5vI0wYRoLg7Jk3EJqHI2/N/DMB1AP67cyPJzQCuB3AVgMsB3EfyDdHu2wH8LYAzAB4medDMHs/ZDpHcQpinX6Qt1wNfM3vCzOLq6XYC2G9m583saQCnAFwdfZwys6fM7CUA+6NjRZxTyaiEpKxqn1EAz3R8fSbalrT9IiR3k5wiOXX27NmSminyCpWMSkh6Bn+S95F8LOaj1B67me0zszEzGxsZGSnzpUQAqGRUwtIz529m7+rj57YArOv4em20DctsF3FKJaMSkrLSPgcBXE/yEpIbAGwE8FMADwPYSHIDyVVYfCh8sKQ2iGSiQXYSkrylnh8A8B8ARgAcInnczLab2QmSBwA8DmAewE1mthB9z80ADmOx1PMOMzuR6x1IYVTmqEF2Eg6ames29DQ2NmZTU1O9D5S+dZc5AospD/V8ReqL5DEzG4vbp7l9BIDKHEVCo+AvAFTmKBIaBX8BoDJHkdAo+AsArTcrEhrN6hmYpIoezYwpEhYF/4D0mrhMZY4i4VDaJyCq6BGRNvX8A1JURc/kdAtf+P4JPH9u7sK2NasH8bn3XVX7OwcNdJNQKPgH5PLhIbRiAn2Wip7J6Rb2fOcRzC0sHRz4/Lk57PnOIwDqO/e95vOXkCjtE5AiKnr2Hj55UeBvm1uwWqeQlBaTkKjnH5AiKnp6pYjqPChMA90kJAr+gclb0ZOUOurcX1dJ720FiQ3jh/QMQBol+LTP5HQLWyeOYsP4IWydOIrJaS0vsJw92zdhcICx+wYHuGwKyfdzHZcWA4AFMxheeQbgW7tF+hF08G8/4GvNzOqPO6VdW0ax90NvwZrVg0u2r1k9iL0fektir7gO57p7Pv8BXnyR0zMAaYqgp3TeOnE09jZ/dHgID45vK/z1QlbHc71h/BDi/joI4OmJ91TdHJHMNKVzAj3gq04dz7Umu5MmCzr464+7OnU815rsTpos6OCvP+5qTE638OL5+Yu2+36utaavNFnQpZ6aybJ8cctDAvWZDkKT3UlTBR38Af1xly1u1CwArF61UuddxKGg0z5Svjo+6BUJgYK/lKqOD3pFQqDgL6XSQ3URPwWf85dy6aG6iJ8U/KV0eqgu4h+lfUREAqTgLyISIAV/EZEAKfiLiARIwV9EJEAK/iIiAcoV/EnuJfkkyUdJfpfkcMe+20ieInmS5PaO7TuibadIjud5ffGf70s3ioQqb8//CIA3mtmbAfwCwG0AQHIzgOsBXAVgB4D/JDlAcgDA7QCuBbAZwA3RsaVQ4HGrDks3ioQqV/A3sx+ZWXui9ocArI0+3wlgv5mdN7OnAZwCcHX0ccrMnjKzlwDsj44tnAKPe3EzemoNXBE/FJnz/ySAH0afjwJ4pmPfmWhb0vaLkNxNcork1NmzZzM3RoHHPc3oKeKvnsGf5H0kH4v52NlxzGcBzAO4q6iGmdk+Mxszs7GRkZHM36/A455m9BTxV8+5fczsXcvtJ/lxAO8FcI2ZWbS5BWBdx2Fro21YZnuhLh8eQism0CvwVGfP9k0XreKlGT1F/JC32mcHgM8AeL+ZnevYdRDA9SQvIbkBwEYAPwXwMICNJDeQXIXFh8IH87QhiaYSdk9r4Ir4K++snl8FcAmAIyQB4CEz+yczO0HyAIDHsZgOusnMFgCA5M0ADgMYAHCHmZ3I2YZYmkrYD5rRU8RPfCVT46+xsTGbmppy3QwRkVoheczMxuL2aYSviEiAFPxFRAKk4C8iEiAFfxGRACn4i4gESMFfRCRACv4iIgFS8BcRCZCCv4hIgBT8RUQCpOAvIhIgBX8RkQDlndVTJJfJ6ZZmXhVxQMFfnGmvs9xe7KW9zjIAXQBESqa0jzijdZZF3FHwF2e0zrKIO0r79KCcdHm0zrKIO+r5L6Odk27NzMLwSk56crqUNeeDo3WWRdxR8F+GctLl0gLvIu4o7bMM5aTLpwXeRdxQz38ZSbln5aRFpO4U/JehnLSINJXSPstopyNU7SMiTaPg34Ny0iLSREr7iIgESMFfRCRACv4iIgFS8BcRCZCCv4hIgGhmrtvQE8mzAE67bkeXSwH81nUjKqT323yhvecQ3u+fm9lI3I5aBH8fkZwyszHX7aiK3m/zhfaeQ3u/3ZT2EREJkIK/iEiAFPz7t891Ayqm99t8ob3n0N7vEsr5i4gESD1/EZEAKfiLiARIwT8HkntJPknyUZLfJTnsuk1lIvlhkidIvkyysSVyJHeQPEnyFMlx1+0pE8k7SD5H8jHXbakCyXUkHyD5ePS7/CnXbXJFwT+fIwDeaGZvBvALALc5bk/ZHgNwHYAfu25IWUgOALgdwLUANgO4geRmt60q1TcB7HDdiArNA7jVzDYDeAeAmxr+/5tIwT8HM/uRmc1HXz4EYK3L9pTNzJ4ws6avXn81gFNm9pSZvQRgP4CdjttUGjP7MYDfuW5HVczsWTP7WfT5HwA8ASDIBTsU/IvzSQA/dN0IyW0UwDMdX59BoMGh6UiuB7AFwE/ctsQNreTVA8n7APxZzK7Pmtn3omM+i8XbybuqbFsZ0rxfkboj+WoA9wD4tJn93nV7XFDw78HM3rXcfpIfB/BeANdYAwZN9Hq/AWgBWNfx9dpomzQEyUEsBv67zOxe1+1xRWmfHEjuAPAZAO83s3Ou2yOFeBjARpIbSK4CcD2Ag47bJAUhSQDfAPCEmX3JdXtcUvDP56sAXgPgCMnjJP/LdYPKRPIDJM8A+GsAh0gedt2mokUP8G8GcBiLDwMPmNkJt60qD8lvA/hfAJtIniF5o+s2lWwrgI8C2Bb9zR4n+W7XjXJB0zuIiARIPX8RkQAp+IuIBEjBX0QkQAr+IiIBUvAXEQmQgr+ISIAU/EVEAvT/umH5uL2DymcAAAAASUVORK5CYII=\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers\n", - "\n", - "normalizer = tf.keras.layers.Normalization(axis=-1)\n", - "\n", - "model = tf.keras.Sequential([\n", - " normalizer,\n", - " layers.Dense(5, activation=\"relu\"),\n", - " layers.Dense(5, activation=\"relu\"),\n", - " layers.Dense(1),\n", - " ])\n", - "model.compile(\n", - " optimizer=tf.optimizers.SGD(learning_rate=0.0001,momentum=0.0,nesterov=False),\n", - " loss=tf.keras.losses.MeanSquaredError())\n", - "# Your code here" - ], - "metadata": { - "id": "r32N1xK2ziOs" - }, - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model.predict(X_train[:10])" - ], - "metadata": { - "id": "-kbydl2mTXlr", - "outputId": "6ec34aff-fa74-4c21-afab-74a571bf93b6", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([[0.96831834],\n", - " [0.44224247],\n", - " [0.38219407],\n", - " [0.3588397 ],\n", - " [0.66568816],\n", - " [0.09688072],\n", - " [0.05039748],\n", - " [0.35984945],\n", - " [0.18092285],\n", - " [0.72549266]], dtype=float32)" - ] - }, - "metadata": {}, - "execution_count": 5 - } - ] - }, - { - "cell_type": "code", - "source": [ - "model.layers[1].kernel" - ], - "metadata": { - "id": "jxY8tNWgTflL", - "outputId": "a588016f-d3a5-4bea-9c5f-aaca132ffc7c", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 6 - } - ] - }, - { - "cell_type": "code", - "source": [ - "model.summary()" - ], - "metadata": { - "id": "WaClPOvQTkVk", - "outputId": "9f6266b0-5f20-49fd-8b11-cc8846a4000c", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 7, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " normalization_1 (Normalizat (None, 5) 11 \n", - " ion) \n", - " \n", - " dense_3 (Dense) (None, 5) 30 \n", - " \n", - " dense_4 (Dense) (None, 5) 30 \n", - " \n", - " dense_5 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 77\n", - "Trainable params: 66\n", - "Non-trainable params: 11\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "%%time\n", - "history = model.fit(\n", - " X_train,\n", - " y_train,\n", - " validation_split=0.2,\n", - " verbose=0, epochs=1000)" - ], - "metadata": { - "id": "DiIr6yg8TrDD", - "outputId": "d384a74a-0deb-4743-fec2-7dd2c209de02", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 8, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "CPU times: user 24.2 s, sys: 1.06 s, total: 25.2 s\n", - "Wall time: 24.5 s\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label='val_loss')\n", - "##plt.ylim([0, 10])\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Losses')\n", - "plt.legend()\n", - "plt.grid(True)\n", - "# Your code here" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "outputId": "109343eb-2a5b-422a-9c38-23e3ce765bee", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 279 - } - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "predictions = model.predict(X_test)\n", - "# Insert the function for R2 Score" - ], - "metadata": { - "id": "-lOHpD8-7ggm" - }, - "execution_count": 10, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "from sklearn.metrics import r2_score\n", - "\n", - "print(r2_score(y_test,predictions))" - ], - "metadata": { - "id": "GfJE5eiRT7xB", - "outputId": "cd89c13b-cc8a-4aa3-a46d-7ac48ca3f91b", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 11, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "0.9969116919921301\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "Your text here" - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "\n" - ], - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "execution_count": 14, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers\n", - "\n", - "normalizer = tf.keras.layers.Normalization(axis=-1)\n", - "\n", - "model = tf.keras.Sequential([\n", - " normalizer,\n", - " layers.Dense(5, activation=\"relu\"),\n", - " layers.Dense(5, activation=\"relu\"),\n", - " layers.Dense(5, activation=\"relu\"),\n", - " layers.Dense(1),\n", - " ])" - ], - "metadata": { - "id": "aS0ROZa402Lo" - }, - "execution_count": 15, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model.compile(\n", - " optimizer=tf.optimizers.SGD(learning_rate=0.0001,momentum=0.0,nesterov=False),\n", - " loss=tf.keras.losses.MeanSquaredError())" - ], - "metadata": { - "id": "BBiA04XhUXkP" - }, - "execution_count": 16, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model.predict(X_train[:10])\n" - ], - "metadata": { - "id": "uOgP12ZMUZrA", - "outputId": "5a74c3e9-2fb7-472b-eda3-b2c4591600a5", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 17, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([[-0.07518597],\n", - " [ 0.08144696],\n", - " [-0.19768304],\n", - " [-0.39174747],\n", - " [ 0.00185427],\n", - " [-0.46432507],\n", - " [ 0.17283821],\n", - " [ 0.09871128],\n", - " [-0.16438599],\n", - " [-0.2587395 ]], dtype=float32)" - ] - }, - "metadata": {}, - "execution_count": 17 - } - ] - }, - { - "cell_type": "code", - "source": [ - "model.layers[1].kernel\n" - ], - "metadata": { - "id": "HjNpe5KRUbp4", - "outputId": "d7ca35bf-8033-4bc5-80f9-695b1e4d8e65", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 18, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 18 - } - ] - }, - { - "cell_type": "code", - "source": [ - "model.summary()\n" - ], - "metadata": { - "id": "Hku9cr5tUeOB", - "outputId": "56a97b9f-a82e-4bd8-846c-b073167da179", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 19, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_2\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " normalization_2 (Normalizat (None, 5) 11 \n", - " ion) \n", - " \n", - " dense_6 (Dense) (None, 5) 30 \n", - " \n", - " dense_7 (Dense) (None, 5) 30 \n", - " \n", - " dense_8 (Dense) (None, 5) 30 \n", - " \n", - " dense_9 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 107\n", - "Trainable params: 96\n", - "Non-trainable params: 11\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "%%time\n", - "history = model.fit(\n", - " X_train,\n", - " y_train,\n", - " validation_split=0.2,\n", - " verbose=0, epochs=500)" - ], - "metadata": { - "id": "5I3YCESvUge0", - "outputId": "ce68a4ad-d6ca-4aee-a8f5-32ca8e3d0ee2", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 20, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "CPU times: user 3min 2s, sys: 13.6 s, total: 3min 16s\n", - "Wall time: 2min 41s\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label='val_loss')\n", - "##plt.ylim([0, 10])\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Losses')\n", - "plt.legend()\n", - "plt.grid(True)" - ], - "metadata": { - "id": "MJH0jFDBUjB3", - "outputId": "bc0874af-31ba-4ebb-bfef-42ad98fffabf", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 279 - } - }, - "execution_count": 21, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "predictions = model.predict(X_test)\n" - ], - "metadata": { - "id": "OrhYtpggUlcq" - }, - "execution_count": 22, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "from sklearn.metrics import r2_score\n", - "\n", - "print(r2_score(y_test,predictions))" - ], - "metadata": { - "id": "H9yjGSN5UoJc", - "outputId": "f0927478-611f-440e-e128-c8bad2552bbc", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 23, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "0.9982083737729497\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/200487_A2.ipynb b/Assignment 2/200487_A2.ipynb deleted file mode 100644 index 81a1e84..0000000 --- a/Assignment 2/200487_A2.ipynb +++ /dev/null @@ -1,767 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "CVusingTF_Assgn2.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "for i in range(5):\n", - " plt.scatter(X_train[:,1],y_train)" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "outputId": "b49fcf1d-ae8f-49ae-fc89-e319e9302d1e", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - } - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "import pandas as pd\n", - "from tensorflow import keras\n", - "model = keras.Sequential([\n", - " keras.layers.Dense(5, input_shape=[5],activation='relu'),\n", - " keras.layers.Dense(5,activation='relu'),\n", - " keras.layers.Dense(1)\n", - "])\n", - "model.compile(loss='mean_squared_error',optimizer = tf.keras.optimizers.SGD(0.001))\n", - "\n", - "history =model.fit(X_train,y_train,epochs=50,validation_split = 0.2,verbose=2)\n", - "\n", - "predictions = model.predict(X_test)\n", - "\n" - ], - "metadata": { - "id": "r32N1xK2ziOs", - "outputId": "5751c355-1261-44c6-f3f1-01c6acef2bf0", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 17, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/50\n", - "2/2 - 0s - loss: 12595.1211 - val_loss: 7105.0293 - 376ms/epoch - 188ms/step\n", - "Epoch 2/50\n", - "2/2 - 0s - loss: 12493.4629 - val_loss: 6986.0254 - 31ms/epoch - 15ms/step\n", - "Epoch 3/50\n", - "2/2 - 0s - loss: 12305.8096 - val_loss: 6638.4692 - 28ms/epoch - 14ms/step\n", - "Epoch 4/50\n", - "2/2 - 0s - loss: 11768.4678 - val_loss: 5443.2119 - 26ms/epoch - 13ms/step\n", - "Epoch 5/50\n", - "2/2 - 0s - loss: 9884.6143 - val_loss: 2481.9995 - 29ms/epoch - 14ms/step\n", - "Epoch 6/50\n", - "2/2 - 0s - loss: 6708.6484 - val_loss: 1764.6349 - 29ms/epoch - 14ms/step\n", - "Epoch 7/50\n", - "2/2 - 0s - loss: 5522.7959 - val_loss: 1026.0281 - 27ms/epoch - 14ms/step\n", - "Epoch 8/50\n", - "2/2 - 0s - loss: 3476.7974 - val_loss: 345.5950 - 31ms/epoch - 16ms/step\n", - "Epoch 9/50\n", - "2/2 - 0s - loss: 1931.5564 - val_loss: 2789.9556 - 30ms/epoch - 15ms/step\n", - "Epoch 10/50\n", - "2/2 - 0s - loss: 4586.5854 - val_loss: 2540.1018 - 33ms/epoch - 17ms/step\n", - "Epoch 11/50\n", - "2/2 - 0s - loss: 2732.6621 - val_loss: 132.4862 - 32ms/epoch - 16ms/step\n", - "Epoch 12/50\n", - "2/2 - 0s - loss: 199.2516 - val_loss: 298.1092 - 36ms/epoch - 18ms/step\n", - "Epoch 13/50\n", - "2/2 - 0s - loss: 259.1199 - val_loss: 170.6306 - 28ms/epoch - 14ms/step\n", - "Epoch 14/50\n", - "2/2 - 0s - loss: 148.3291 - val_loss: 162.2008 - 32ms/epoch - 16ms/step\n", - "Epoch 15/50\n", - "2/2 - 0s - loss: 141.0105 - val_loss: 59.2315 - 32ms/epoch - 16ms/step\n", - "Epoch 16/50\n", - "2/2 - 0s - loss: 84.5864 - val_loss: 64.4151 - 28ms/epoch - 14ms/step\n", - "Epoch 17/50\n", - "2/2 - 0s - loss: 66.7159 - val_loss: 96.3872 - 33ms/epoch - 16ms/step\n", - "Epoch 18/50\n", - "2/2 - 0s - loss: 54.7255 - val_loss: 51.4422 - 38ms/epoch - 19ms/step\n", - "Epoch 19/50\n", - "2/2 - 0s - loss: 40.8116 - val_loss: 48.9132 - 27ms/epoch - 13ms/step\n", - "Epoch 20/50\n", - "2/2 - 0s - loss: 85.7137 - val_loss: 74.0436 - 27ms/epoch - 14ms/step\n", - "Epoch 21/50\n", - "2/2 - 0s - loss: 138.6755 - val_loss: 116.1426 - 36ms/epoch - 18ms/step\n", - "Epoch 22/50\n", - "2/2 - 0s - loss: 93.0366 - val_loss: 38.1080 - 46ms/epoch - 23ms/step\n", - "Epoch 23/50\n", - "2/2 - 0s - loss: 45.7552 - val_loss: 38.3920 - 26ms/epoch - 13ms/step\n", - "Epoch 24/50\n", - "2/2 - 0s - loss: 34.6569 - val_loss: 30.9368 - 26ms/epoch - 13ms/step\n", - "Epoch 25/50\n", - "2/2 - 0s - loss: 24.8673 - val_loss: 32.1682 - 45ms/epoch - 23ms/step\n", - "Epoch 26/50\n", - "2/2 - 0s - loss: 25.0724 - val_loss: 34.2261 - 33ms/epoch - 16ms/step\n", - "Epoch 27/50\n", - "2/2 - 0s - loss: 20.3387 - val_loss: 40.7556 - 30ms/epoch - 15ms/step\n", - "Epoch 28/50\n", - "2/2 - 0s - loss: 24.1398 - val_loss: 41.3397 - 33ms/epoch - 17ms/step\n", - "Epoch 29/50\n", - "2/2 - 0s - loss: 28.4136 - val_loss: 44.7413 - 30ms/epoch - 15ms/step\n", - "Epoch 30/50\n", - "2/2 - 0s - loss: 24.4457 - val_loss: 40.4117 - 30ms/epoch - 15ms/step\n", - "Epoch 31/50\n", - "2/2 - 0s - loss: 22.9832 - val_loss: 36.9625 - 30ms/epoch - 15ms/step\n", - "Epoch 32/50\n", - "2/2 - 0s - loss: 50.7906 - val_loss: 34.8037 - 30ms/epoch - 15ms/step\n", - "Epoch 33/50\n", - "2/2 - 0s - loss: 54.7234 - val_loss: 48.3223 - 29ms/epoch - 15ms/step\n", - "Epoch 34/50\n", - "2/2 - 0s - loss: 91.5027 - val_loss: 32.8509 - 29ms/epoch - 15ms/step\n", - "Epoch 35/50\n", - "2/2 - 0s - loss: 51.9907 - val_loss: 34.4905 - 28ms/epoch - 14ms/step\n", - "Epoch 36/50\n", - "2/2 - 0s - loss: 20.1086 - val_loss: 40.6906 - 28ms/epoch - 14ms/step\n", - "Epoch 37/50\n", - "2/2 - 0s - loss: 24.4139 - val_loss: 58.0996 - 33ms/epoch - 16ms/step\n", - "Epoch 38/50\n", - "2/2 - 0s - loss: 33.1109 - val_loss: 62.1319 - 34ms/epoch - 17ms/step\n", - "Epoch 39/50\n", - "2/2 - 0s - loss: 33.6330 - val_loss: 39.5758 - 34ms/epoch - 17ms/step\n", - "Epoch 40/50\n", - "2/2 - 0s - loss: 27.2787 - val_loss: 42.3878 - 31ms/epoch - 15ms/step\n", - "Epoch 41/50\n", - "2/2 - 0s - loss: 38.1713 - val_loss: 48.6848 - 27ms/epoch - 14ms/step\n", - "Epoch 42/50\n", - "2/2 - 0s - loss: 72.0938 - val_loss: 48.1641 - 27ms/epoch - 14ms/step\n", - "Epoch 43/50\n", - "2/2 - 0s - loss: 55.0561 - val_loss: 40.3172 - 29ms/epoch - 14ms/step\n", - "Epoch 44/50\n", - "2/2 - 0s - loss: 28.2347 - val_loss: 51.8815 - 26ms/epoch - 13ms/step\n", - "Epoch 45/50\n", - "2/2 - 0s - loss: 35.0019 - val_loss: 35.9727 - 30ms/epoch - 15ms/step\n", - "Epoch 46/50\n", - "2/2 - 0s - loss: 26.8592 - val_loss: 44.8224 - 41ms/epoch - 21ms/step\n", - "Epoch 47/50\n", - "2/2 - 0s - loss: 23.3209 - val_loss: 38.0702 - 29ms/epoch - 14ms/step\n", - "Epoch 48/50\n", - "2/2 - 0s - loss: 25.0040 - val_loss: 40.4970 - 32ms/epoch - 16ms/step\n", - "Epoch 49/50\n", - "2/2 - 0s - loss: 29.4142 - val_loss: 47.0546 - 32ms/epoch - 16ms/step\n", - "Epoch 50/50\n", - "2/2 - 0s - loss: 41.9272 - val_loss: 42.8308 - 29ms/epoch - 15ms/step\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code here\n", - "history_df = pd.DataFrame(history.history)\n", - "history_df.loc[20:, ['loss', 'val_loss']].plot();\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "outputId": "b30b326b-d35f-41db-b9dc-a3234f6dfc14", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 296 - } - }, - "execution_count": 20, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "Text(0, 0.5, 'Loss')" - ] - }, - "metadata": {}, - "execution_count": 20 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "# Insert the function for R2 Score\n", - "import numpy as np\n", - "from sklearn.metrics import r2_score\n", - "y_pred = model.predict(X_test)\n", - "accu = r2_score(y_test, y_pred) \n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "outputId": "d4329b88-3501-4b25-ec26-6b92c9584e63", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 22, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9949060115054705\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "Your text here" - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code here\n", - "model_custom = keras.Sequential([keras.layers.Dense(64,input_dim=5,activation='relu'),\n", - " keras.layers.Dense(15,activation='relu'),\n", - " keras.layers.Dense(10,activation='relu'), #hidden\n", - " keras.layers.Dense(1)]) #OUTPUT\n", - "model_custom.compile(optimizer=tf.optimizers.Adam(learning_rate=0.001),\n", - " loss='mean_absolute_error')\n", - "history_custom = model_custom.fit(\n", - " X_train,y_train,\n", - " validation_split =0.2,\n", - " verbose=2,epochs=150\n", - ")" - ], - "metadata": { - "id": "1XOk5hJu0oSQ", - "outputId": "e46b857e-13aa-43b3-ef18-740d254e37db", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 29, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/150\n", - "2/2 - 0s - loss: 89.0932 - val_loss: 72.4327 - 494ms/epoch - 247ms/step\n", - "Epoch 2/150\n", - "2/2 - 0s - loss: 89.0751 - val_loss: 72.4217 - 30ms/epoch - 15ms/step\n", - "Epoch 3/150\n", - "2/2 - 0s - loss: 89.0600 - val_loss: 72.4100 - 29ms/epoch - 15ms/step\n", - "Epoch 4/150\n", - "2/2 - 0s - loss: 89.0462 - val_loss: 72.4003 - 32ms/epoch - 16ms/step\n", - "Epoch 5/150\n", - "2/2 - 0s - loss: 89.0327 - val_loss: 72.3899 - 30ms/epoch - 15ms/step\n", - "Epoch 6/150\n", - "2/2 - 0s - loss: 89.0202 - val_loss: 72.3787 - 31ms/epoch - 16ms/step\n", - "Epoch 7/150\n", - "2/2 - 0s - loss: 89.0067 - val_loss: 72.3672 - 32ms/epoch - 16ms/step\n", - "Epoch 8/150\n", - "2/2 - 0s - loss: 88.9936 - val_loss: 72.3542 - 31ms/epoch - 15ms/step\n", - "Epoch 9/150\n", - "2/2 - 0s - loss: 88.9793 - val_loss: 72.3410 - 27ms/epoch - 14ms/step\n", - "Epoch 10/150\n", - "2/2 - 0s - loss: 88.9657 - val_loss: 72.3280 - 25ms/epoch - 13ms/step\n", - "Epoch 11/150\n", - "2/2 - 0s - loss: 88.9514 - val_loss: 72.3137 - 28ms/epoch - 14ms/step\n", - "Epoch 12/150\n", - "2/2 - 0s - loss: 88.9365 - val_loss: 72.2986 - 27ms/epoch - 14ms/step\n", - "Epoch 13/150\n", - "2/2 - 0s - loss: 88.9198 - val_loss: 72.2822 - 28ms/epoch - 14ms/step\n", - "Epoch 14/150\n", - "2/2 - 0s - loss: 88.9027 - val_loss: 72.2650 - 26ms/epoch - 13ms/step\n", - "Epoch 15/150\n", - "2/2 - 0s - loss: 88.8830 - val_loss: 72.2468 - 26ms/epoch - 13ms/step\n", - "Epoch 16/150\n", - "2/2 - 0s - loss: 88.8626 - val_loss: 72.2271 - 34ms/epoch - 17ms/step\n", - "Epoch 17/150\n", - "2/2 - 0s - loss: 88.8404 - val_loss: 72.2070 - 36ms/epoch - 18ms/step\n", - "Epoch 18/150\n", - "2/2 - 0s - loss: 88.8163 - val_loss: 72.1844 - 30ms/epoch - 15ms/step\n", - "Epoch 19/150\n", - "2/2 - 0s - loss: 88.7903 - val_loss: 72.1603 - 27ms/epoch - 13ms/step\n", - "Epoch 20/150\n", - "2/2 - 0s - loss: 88.7652 - val_loss: 72.1344 - 35ms/epoch - 17ms/step\n", - "Epoch 21/150\n", - "2/2 - 0s - loss: 88.7377 - val_loss: 72.1076 - 30ms/epoch - 15ms/step\n", - "Epoch 22/150\n", - "2/2 - 0s - loss: 88.7117 - val_loss: 72.0777 - 33ms/epoch - 16ms/step\n", - "Epoch 23/150\n", - "2/2 - 0s - loss: 88.6826 - val_loss: 72.0463 - 30ms/epoch - 15ms/step\n", - "Epoch 24/150\n", - "2/2 - 0s - loss: 88.6497 - val_loss: 72.0139 - 29ms/epoch - 14ms/step\n", - "Epoch 25/150\n", - "2/2 - 0s - loss: 88.6157 - val_loss: 71.9793 - 31ms/epoch - 15ms/step\n", - "Epoch 26/150\n", - "2/2 - 0s - loss: 88.5814 - val_loss: 71.9423 - 60ms/epoch - 30ms/step\n", - "Epoch 27/150\n", - "2/2 - 0s - loss: 88.5450 - val_loss: 71.9029 - 31ms/epoch - 16ms/step\n", - "Epoch 28/150\n", - "2/2 - 0s - loss: 88.4994 - val_loss: 71.8611 - 27ms/epoch - 14ms/step\n", - "Epoch 29/150\n", - "2/2 - 0s - loss: 88.4589 - val_loss: 71.8123 - 27ms/epoch - 14ms/step\n", - "Epoch 30/150\n", - "2/2 - 0s - loss: 88.4130 - val_loss: 71.7586 - 31ms/epoch - 15ms/step\n", - "Epoch 31/150\n", - "2/2 - 0s - loss: 88.3542 - val_loss: 71.7026 - 33ms/epoch - 17ms/step\n", - "Epoch 32/150\n", - "2/2 - 0s - loss: 88.2998 - val_loss: 71.6410 - 28ms/epoch - 14ms/step\n", - "Epoch 33/150\n", - "2/2 - 0s - loss: 88.2421 - val_loss: 71.5739 - 30ms/epoch - 15ms/step\n", - "Epoch 34/150\n", - "2/2 - 0s - loss: 88.1713 - val_loss: 71.5031 - 30ms/epoch - 15ms/step\n", - "Epoch 35/150\n", - "2/2 - 0s - loss: 88.1014 - val_loss: 71.4256 - 26ms/epoch - 13ms/step\n", - "Epoch 36/150\n", - "2/2 - 0s - loss: 88.0233 - val_loss: 71.3405 - 26ms/epoch - 13ms/step\n", - "Epoch 37/150\n", - "2/2 - 0s - loss: 87.9337 - val_loss: 71.2479 - 28ms/epoch - 14ms/step\n", - "Epoch 38/150\n", - "2/2 - 0s - loss: 87.8340 - val_loss: 71.1513 - 27ms/epoch - 13ms/step\n", - "Epoch 39/150\n", - "2/2 - 0s - loss: 87.7366 - val_loss: 71.0483 - 31ms/epoch - 15ms/step\n", - "Epoch 40/150\n", - "2/2 - 0s - loss: 87.6282 - val_loss: 70.9390 - 34ms/epoch - 17ms/step\n", - "Epoch 41/150\n", - "2/2 - 0s - loss: 87.5112 - val_loss: 70.8231 - 30ms/epoch - 15ms/step\n", - "Epoch 42/150\n", - "2/2 - 0s - loss: 87.3875 - val_loss: 70.6968 - 31ms/epoch - 15ms/step\n", - "Epoch 43/150\n", - "2/2 - 0s - loss: 87.2531 - val_loss: 70.5631 - 28ms/epoch - 14ms/step\n", - "Epoch 44/150\n", - "2/2 - 0s - loss: 87.1064 - val_loss: 70.4207 - 28ms/epoch - 14ms/step\n", - "Epoch 45/150\n", - "2/2 - 0s - loss: 86.9656 - val_loss: 70.2663 - 27ms/epoch - 14ms/step\n", - "Epoch 46/150\n", - "2/2 - 0s - loss: 86.7918 - val_loss: 70.1035 - 28ms/epoch - 14ms/step\n", - "Epoch 47/150\n", - "2/2 - 0s - loss: 86.6109 - val_loss: 69.9254 - 26ms/epoch - 13ms/step\n", - "Epoch 48/150\n", - "2/2 - 0s - loss: 86.4306 - val_loss: 69.7339 - 33ms/epoch - 17ms/step\n", - "Epoch 49/150\n", - "2/2 - 0s - loss: 86.2189 - val_loss: 69.5347 - 32ms/epoch - 16ms/step\n", - "Epoch 50/150\n", - "2/2 - 0s - loss: 86.0116 - val_loss: 69.3232 - 28ms/epoch - 14ms/step\n", - "Epoch 51/150\n", - "2/2 - 0s - loss: 85.7855 - val_loss: 69.0953 - 26ms/epoch - 13ms/step\n", - "Epoch 52/150\n", - "2/2 - 0s - loss: 85.5393 - val_loss: 68.8510 - 26ms/epoch - 13ms/step\n", - "Epoch 53/150\n", - 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BdWa2ALgcWOvue929G1gLrJlovSbVqVdBqg/aH8z7UO86fQEDaTUViUhpyOfKYDHQAXzTzJ42s2+YWSUwz92H2j9eB+aFr5uBbcP23x6WjVZ+DDO7zszWmdm6jo6OPKo+QW1vgWQ9vHhv3odSU5GIlJJ8wiAGnA3c6u5nAf0cbhICwN0dKNiNAdz9Nndf7e6rm5qaCnXY8YvGg6aiV34M6YH8DqWmIhEpIfmEwXZgu7s/Hr7/HkE47A6bfwifh9pBdgCtw/ZvCctGKy9Np14Fqf2w6aG8D/VONRWJSImYcBi4++vANjNbERZdArwI3AcMjQi6BhhqU7kP+Eg4quh8oCdsTrofuMzM6sOO48vCstK0+CIorytIU9Eb1VQkIiUi35vb/G/gO2aWADYDv0cQMPeY2bXAa8AHw21/BLwTaAcOhNvi7nvN7LPAk+F2n3H3vXnWa/IMNRW9dB9kBiFWNvFDhU1F96zbRv9ghsoy3WtIRIojr6Gl7v5M2IZ/hrtf5e7d7t7l7pe4+3J3f8fQH/ZwFNH17r7U3U9393XDjnOHuy8LH9/M96Qm3alXwWAvbHo470OpqUhESoFmIE/E4ougvFZNRSIyYygMJiKWgBXvglf+EzKpvA4VjRiXrZzHzzd0kM0VbOCViMgJURhM1MorYaAHtj6a96HOWlTPgVRW90cWkaJRGEzUwrOC586NeR/qtOYaAF7Y2ZP3sUREJkJhMFFVcyGWhO5X8z7U0qYqErEIL+zszb9eIiIToDCYKDOob4O9W/I+VDwa4Q3zq1m/Q1cGIlIcCoN8zFlckCsDgJULa3lhZy/BCh4iIlNLYZCP+rYgDArwB/y05hp6DqbZ3p3f8tgiIhOhMMhHfVtw97P+zrwPderCWgD1G4hIUSgM8lHfFjwXoKnolPnVRCPGixpRJCJFoDDIRwHDoDweZVlTFet1ZSAiRaAwyEfdouC5O/8RRQCnLqzRXAMRKQqFQT7iSaheULARRac217K7d5CO/YMFOZ6IyHgpDPJVX7jhpacu1ExkESkOhUG+hoaXFsDKQ2GgfgMRmVoKg3zVt0HvzrzviQxQUx7npIaKvK4M7n5yq2Yyi8gJUxjkq74NcOjZVpDDnbawlvU7JnZlkM7m+IsfrufWn20qSF1EZPZQGOSrgMNLIWgq2rr3AL0D6RPed3v3QTI555lt+wpSFxGZPRQG+RoKgwIsWAeHO5FfnEC/wZbOPgB27DvInv35N1uJyOyhMMhX1VyIVxRwRFGwLMVE2v03dxy+Oc6z29RvICLjpzDI19BS1gUKg6bqMubVlE3wyqCfqrIY0YjxzLbugtRHRGaHWLErMCMUMAwg7ESewIiiLZ39LJtbRTqb05WBiJyQvK8MzCxqZk+b2X+E7xeb2eNm1m5md5tZIiwvC9+3h5+3DTvGjWH5K2Z2eb51mnIFXMoagn6D9j19HExlT2i/LZ39LGms5MzWOp7dto9cTvdGEJHxKUQz0ceBl4a9/wJwi7svA7qBa8Pya4HusPyWcDvMbCVwNXAqsAb4uplFC1CvqVPApawhWJYi5/Dy6+NvKjqQyrCrZ4AlTZWsaq1j/2CGzZ39Y+8oIkKeYWBmLcC7gG+E7w24GPheuMmdwFXh6yvD94SfXxJufyVwl7sPuvsWoB04N596TblDw0sLO6LoRGYiv9p5AIDFjVWc1VoHoCGmIjJu+V4Z/D3wKSAXvm8A9rl7Jny/HWgOXzcD2wDCz3vC7Q+Vj7DPEczsOjNbZ2brOjo68qx6ARV4rkFzXZK6ivgJzUTeHA4rXdxYyZKmKqrKYjyrMBCRcZpwGJjZu4E97v5UAetzXO5+m7uvdvfVTU1NU/Vjx3ZoKetXC3I4MwuXsx7/lcGWcFhpW2MF0YhxRkutrgxEZNzyuTK4EHivmb0K3EXQPPRloM7MhkYptQA7wtc7gFaA8PNaoGt4+Qj7TA/xJFQvLPiIopdf3086mxt7Y4LO4wW15VQkgv/0Z7bW8dKuXgbSJ9YJLSKz04TDwN1vdPcWd28j6AB+yN0/DDwMvD/c7Brg3vD1feF7ws8fcncPy68ORxstBpYDT0y0XkVT4OGlKxfWkMrkaN/TN67tN3f2s7ix8tD7Va11ZHKuFVBFZFwmY9LZnwGfNLN2gj6B28Py24GGsPyTwA0A7v4CcA/wIvAT4Hp3n35fZwscBkMzkcfzx9zd2dzRd0QYqBNZRE5EQSadufvPgJ+Frzczwmggdx8APjDK/jcDNxeiLkVT3wbPfjdYyjpenvfhFjdWUpGIsn5HD+8/p+W423YfSNM7kDkiDObWlLOgtlydyCIyLlqOolCGlrLet7Ugh4tGjDcsqBnXshRDC9Qtaao8ovzM1jpdGYjIuCgMCqXAw0sBTltYwws7e8acSTy0QN2Sxqojyle11rF17wH29qcKVicRmZkUBoUyCWFwanMt/ansmDOJt3T2E4sYLfXJI8rPDPsN1FQkImNRGBRKgZeyBji3bQ4Aj23uOu52Wzr7WdRQQSx65D/n6c21REydyCIyNoVBoRR4KWuAkxoqWFBbzq/GCIPNHcECdUerLItx8rxqhYGIjElhUEgFDgMz44KlDTy2qQsfZUXUXM7Z0nXkHIPhzmyt49nt+0bdX0QEFAaFVeClrAEuWNJAV3+KDbtHnny2s+cgqUyOxUd1Hg9Z1VrHvgNpXus6ULA6icjMozAopENLWRduEb0LljYA8OimkZfH3hJ2Lh/vygDUbyAix6cwKKRJGFHUUl/BojkV/GrTyP0GQ2Fw9ByDIcvnVpGMRxUGInJcCoNCmoQwgKCp6LHNXWRHmG+wuaOfikSUudVlI+4bi0Y4XSuYisgYFAaFVHdS8FzgMHjTsgZ6BzK8tOvY2chbwgXqgvsEjeys1jpe3NlLKjO+FVBFZPZRGBRSvLzgS1lDcGUAI/cbbOnsZ0nTyJ3HQ1a11pHK5kYMExERUBgUXn0b7C3M7S+HzK0pZ2lT5ZH9Bq89ymBfN9u7D4zaeTzk0Ezk7WoqEpGRKQwKrcBzDYZcsLSBJ7bsDW5207kRvnkF0VvP41J7csQJZ8MtqC2nqbqMZ7YqDERkZAqDQqtvg/07g6WsC+hNSxvpT2V5fkcP7F4PQNpj/FPiFt7+9CegZ/Sbw5kZZzTXsv4E7qksIrOLwqDQhkYUFWgp6yHnh/0Gv9rUBR2vAMa/nnMXf5P+EDU7fwFfOw8evw1yI98XaNm8Kl7tPDDiiCQREYVBoU3S8NI5lQlOmV99OAzqT2JDN/wg+ZvYH/wKWt8IP/5TuP2yEX/20qYqUtkc27s1E1lEjqUwKLQ5i4Pn7sJ2IkPQb7Dutb3kOl6BxhWHhpUyZzH89g/gff8Me16ER754zL5LwxFHmzrGd09lEZldFAaFVtkUDC99/nsFXaMIgiGmqXQm6EBuWsHmzmEL1JnBGR+E5nOg4+Vj9l0azlDetOf490YQkdlJYVBoZvC2G2D7E/DivQU99HlLGjjJ9hDJpThYt4zOvsFjF6hrOiVoRjoqiOoqEjRWJXRlICIjUhhMhrN+G5reAD/9NGQKd8vJ2mScixu7AdgeWwSMsCZR0woY7IX9u47Zf0ljlcJAREakMJgMkShc+pmg32DdHQU99Jtrg4lnzx2cC3DsHIOmU4LnkZqK5lYeul+yiMhwCoPJsvxSWPxW+PkX4GDhJnudEt/F617Pd5/rwQwWNVQcucGhMHjlmH2XNlXR1Z+iu79wVysiMjNMOAzMrNXMHjazF83sBTP7eFg+x8zWmtnG8Lk+LDcz+4qZtZvZc2Z29rBjXRNuv9HMrsn/tEqAGVz6WTi4F355S8EOO3fgVdq9mXWvddNSn6QsFj1yg8pGSM4ZpRM56F/Y3KmmIhE5Uj5XBhngj919JXA+cL2ZrQRuAB509+XAg+F7gCuA5eHjOuBWCMIDuAk4DzgXuGkoQKa9hWfCGf8NHrsV9m3L/3juRLs20lO5BGDku5uZHe5EPsqh4aUaUSQiR5lwGLj7Lnf/dfh6P/AS0AxcCdwZbnYncFX4+krg2x54DKgzswXA5cBad9/r7t3AWmDNROtVci7+P8HzQ3+d/7F6d0Cqj8T8oClo1DWJmlbAnpeOGVHUXJ8kEYuoE1lEjlGQPgMzawPOAh4H5rn70FCW14F54etmYPjX4+1h2WjlI/2c68xsnZmt6+go3K0lJ1XdIjj/o/Dc3bDr2fyOFX7bn7/sTADaju4vGNJ0CgzsO+b2m9GIsaSxUmEgIsfIOwzMrAr4PvAJdz9iwXx3d6BgM6/c/TZ3X+3uq5uamgp12Mn35k9Csh4e+Mv8JqJ1bgDgDaev5o/ecTLvWbVw5O2aVgTPo/QbbNKIIhE5Sl5hYGZxgiD4jrv/ICzeHTb/ED7vCct3AK3Ddm8Jy0YrnzmSdXDRp2DLz6H9pxM/TsfLkKwnVj2Xj79jOQ1VI9/q8vgjiirZuvcAg5mRF7QTkdkpn9FEBtwOvOTuXxr20X3A0Iiga4B7h5V/JBxVdD7QEzYn3Q9cZmb1YcfxZWHZzLL6WqhfDGv/atSVRcfUsSH4Q3+cW1wCUD0fympHmWtQRTbnbO3SgnUiclg+VwYXAr8DXGxmz4SPdwKfBy41s43AO8L3AD8CNgPtwD8DfwDg7nuBzwJPho/PhGUzSywBl/xlsJDcc/dM7BgdL0PjyWNvZxY0FR1vRJH6DURkmNhEd3T3XwKjfUW9ZITtHbh+lGPdARR2qm4pWvkbsODL8PDfwGnvg9gozTwj6e8M5iwMNQGNpWkFbPjJMcVDC9up30BEhtMM5KkUicA7Pg09W+HJ209s36Fv+U3juDKAIDT6O6C/64jiyrIYC2vL2bRHVwYicpjCYKotvRgWXwS/+CIM9I69/ZCh9v/GFePbfugKovPYpqIlTVqwTkSOpDAohnd8Gg50waP/MP59OjdAogpqW8a3/XGHl1ayqaMfL/D9FkRk+lIYFEPz2bDyKvjV16Bvz9jbQ9h5vHzskURDaluC8BipE3luFX2DGfbsHzyBSovITKYwKJaL/xIyA/DI345v+44N428igiA0Gk8+7oJ16jcQkSEKg2JpXAZn/w6s+ybsHeN+yQO9sH/n4aaf8RprwTr1G4hISGFQTBfdAJEYPHzz8bcLl6E48TBYEdzx7Kj7KcyrKaMyEdXwUhE5RGFQTDULgkXsnv832PXc6NsNfbs/kWYiGDaiaMMRxWbG0rkaUSQihykMiu3CT0B5XXC/5NF0vAzRBNS3ndixx1iwTrfAFJEhCoNiS9bBW/8ENj0IG9eOvE3nBmhYBtETnDBetwhiyVEXrNux7yAHUpkJVFpEZhqFQSk493/BnKXwkxsgM8L9iTteOfH+AoBINBiOerxbYOrqQERQGJSGWALWfA662uGJ2478LH0Qul898f6CIaONKJqrEUUicpjCoFScfDksuxR+/oUjJ6J1tQM+/jWJjta0Anq2weD+I4pPaqggYlqwTkQCCoNSsuZzkD4AD332cNmhBerGuVrp0Q7d6ObIEUVlsSiL5lToykBEAIVBaWlcDud9FH79L7Dz6aCs4xWwSNCBPBGHwuDYfoMlTVWahSwigMKg9Fz0KahshB/fENwvufOVYEjpidz7YLj6tmBY6igL1m3p7Ceb04J1IrOdwqDUlNfCJX8F2x6D9d8PRxJNsIkIguGoDctHXZZiMJNj576DeVRYRGYChUEpOvPDsGAVPPCX0LVpfLe6PJ6mFaPeDxmgXf0GIrOewqAURaJwxf8LFqfLpfO7MoBg/31bIXXkyCGtXioiQxQGpWrR+XD6B4LXEx1WOqRpBeDQufGI4jmVCeYnc3Tt2JTf8UVk2jvB9Q1kSq35AjSfAwvOyu84h0YUvQILzwxed78KT97OWr5J9cv74asnk13xHnYuvJSXWczmzn469g9y9kn1XLiskdpkPL86iEhJUxiUssoGOP/38z/OnCXBUtl7XgzWP3rin2HjA2ARtlS/hf/sbuXy7mc545e30Gp/h+ea2JI7l5c5m1/+VyW3WIzlC+pZvWQe5y2bxxtamohU1I3/rmsiUvKsVO6Da2ZrgC8DUeAb7v75422/evVqX7du3ZTUbUb46rnhUtYOlXPhnN+Fcz6AI/MAAAmwSURBVH6Xh3fF+dLaDbTOSbKyNs356SdY3vUQNTt/ieXSox5utzXxTHwVzydW8ULiLPoSDUQjRmNVGYsbKzmpoZLFjRWc1FBJQ2UCGyk43CGXPfEF+Ebh7nT1p9ja1c/ru3fR/fpWDnRuI5XNkm46jZrGFhbWlbOwLsmC2iSNVaPUS2QGM7On3H31MeWlEAZmFgU2AJcC24EngQ+5+4uj7aMwOEGPfBE2/ywIgTe8N1gP6XgGemDbE8GM6Gwachn6Dhxg0+vdbN/dyYK+9Zx84GmqcsEyF9tji3g+sYpX0/X0HRwk4lmiliNCjoooNJRlaLD91HsvtfRSk+uhKttDzNP0xRvoK5tHf/l8DibnM1Axn3TFfKLxMuKxaPCIxsLXEQ709dC/by8H93eR7u/GD+4jMthDMrWXJu9ivnWTtGMX/Hvd61mfa2O9L2Z9bjGvRlppqK5gfm0582rKmV+TDF5Xl1FWliAWj5NIlJFIlBFPJEjEy0jEo8QjRjwKBkGg4SM854LXngsCL5cJH+nD7w/tT7DP0HvPjfzAIBIBiwaDDCwaTEiMhM/DH5EoYLgZA2mndzBNz8EcPQMZ9g+kyaUHscwAlh3AMgexzCBkBuhJRegYjNAxEGH3AWNnv7GjHyLRGHOrE8ytLmdudYKmqgRzqxM0VsZpqIhQVxahvjxKdcIxz0E2BakDkOoLfodS/eHzgeDcPQeexXNZcrkcuVwWj5XjZTV4ohrKaoLXZdVEogkiEYjhRGz4f9vgv2MmkyaTDh7pTJpUOs3+gTS9BzP0DqTpHcjQezBN32AOi0aJJ8qIxRLEE2WUJRLEy8qojhs18Rw18SzVsSxV0SzJSIZIJALxCnKxJNlokmwsSTpajluMuGWJ5jLESWO5THDOuWzwbxSJQSQePkeD56F/50P1D39Xctnw9yID2cyh3xX3LGmPkM4ZqSyk3UjljFTWWHzaeVgkOqE/BaUeBhcAn3b3y8P3NwK4++dG20dhUAJyOXj9Odjyc9jyCLz2aPA//PBNiJCzCCkrozdSS6/VsJcaur2ajlw1/dkYjd7FPO9kge1lgXVRZQPjrkKaGH1WxWCsisFEA9mq+URrF1LRuIjaeYtI1LdALovveobUtqfxnc9Qtm8TRq7Q/zVEpszgDTspK6+c0L6jhUGp9Bk0A9uGvd8OnHf0RmZ2HXAdwKJFi6amZjK6SCTokF54Jlz48eBbTXYw+BYUfnuNmBEh+EWrAOaPcqhczkllc6QyWTr79pHu2Uk6nSaVzpDKZMLnLOlMlorKGhoa5zJ37lzKk1XUj6Opx9oupOyC8E2qH15/PpjDweEvQ+lsjp4DafYdTJHJZMhmUuQyaTybJhe+zrmTzTkZh2wufLiT9aAOboaHg/Qcwy1CxqNkGHpEDj0bESIWdL2YRTCDiBlYBLMoFjn8TT8SiQCO57LgWSyXw4euOjyLkcPCqwrzLLgTNaciEaEiHjyS8QjJuFEejxKJl0OsHOLlEEti8SQWS1CdgCSpINTTBw8/57JhH1FwnlmH/lSWvlSOvrTRn4H9KWd/CvpSTl/aSEXKyUSTpKMVZGJJspEKMrFyorE40WiUaDROPBYhGo0TjUUoyw0Sz/aTyPRRlu0jkQkelsuQxcjkjKwTPowcRiQWJxJNEI3FiMbixGJx4rEYtck4tRVxasvj1CRjlMWi4VVa5tCVbiY9yGAqTSo1wMEM9GVj9KWj9Gai9KSNnpSRzTnlPkiCAZI+SMIHSfgA0VyaNHHSREl5jDRR0h4j5ZHw3yeDeQZyWSLh1aAZOBHMgis2LBzMaTGIxPDI0HMUj8SJRSIkok4iCokIJCIePKJwxkRXJDiOUgmDcXH324DbILgyKHJ15GjR2ITb/yMRozwSpTweheRcaJpb4MoNk6gMhu4uOv+I4jjQGD7k+KJATfiYrmLhoxKoL3JdSkGpzDPYAbQOe98SlomIyBQolTB4ElhuZovNLAFcDdxX5DqJiMwaJdFM5O4ZM/sYcD/BFegd7v5CkaslIjJrlEQYALj7j4AfFbseIiKzUak0E4mISBEpDERERGEgIiIKAxERoUSWo5gIM+sAXpvg7o1AZwGrM13ovGcXnffsMt7zPsndm44unLZhkA8zWzfS2hwznc57dtF5zy75nreaiURERGEgIiKzNwxuK3YFikTnPbvovGeXvM57VvYZiIjIkWbrlYGIiAyjMBARkdkVBma2xsxeMbN2M7uh2PWZTGZ2h5ntMbP1w8rmmNlaM9sYPs+4e3qYWauZPWxmL5rZC2b28bB8Rp+7mZWb2RNm9mx43v83LF9sZo+Hv/N3h0vEzzhmFjWzp83sP8L3M/68zexVM3vezJ4xs3Vh2YR/z2dNGJhZFPgacAWwEviQma0sbq0m1beANUeV3QA86O7LgQfD9zNNBvhjd18JnA9cH/47z/RzHwQudvdVwJnAGjM7H/gCcIu7LwO6gWuLWMfJ9HHgpWHvZ8t5v93dzxw2v2DCv+ezJgyAc4F2d9/s7ingLuDKItdp0rj7I8Deo4qvBO4MX98JXDWllZoC7r7L3X8dvt5P8AeimRl+7h7oC9/Gw4cDFwPfC8tn3HkDmFkL8C7gG+F7Yxac9ygm/Hs+m8KgGdg27P32sGw2mefuu8LXrwPzilmZyWZmbcBZwOPMgnMPm0qeAfYAa4FNwD53z4SbzNTf+b8HPgXkwvcNzI7zduABM3vKzK4Lyyb8e14yN7eRqeXubmYzdlyxmVUB3wc+4e69wZfFwEw9d3fPAmeaWR3wQ+CUIldp0pnZu4E97v6Umb2t2PWZYm929x1mNhdYa2YvD//wRH/PZ9OVwQ6gddj7lrBsNtltZgsAwuc9Ra7PpDCzOEEQfMfdfxAWz4pzB3D3fcDDwAVAnZkNfembib/zFwLvNbNXCZp+Lwa+zMw/b9x9R/i8hyD8zyWP3/PZFAZPAsvDUQYJ4GrgviLXaardB1wTvr4GuLeIdZkUYXvx7cBL7v6lYR/N6HM3s6bwigAzSwKXEvSXPAy8P9xsxp23u9/o7i3u3kbw//RD7v5hZvh5m1mlmVUPvQYuA9aTx+/5rJqBbGbvJGhfjAJ3uPvNRa7SpDGz7wJvI1jWdjdwE/DvwD3AIoLlvz/o7kd3Mk9rZvZm4BfA8xxuQ/5zgn6DGXvuZnYGQYdhlOBL3j3u/hkzW0LwjXkO8DTw2+4+WLyaTp6wmehP3P3dM/28w/P7Yfg2Bvyru99sZg1M8Pd8VoWBiIiMbDY1E4mIyCgUBiIiojAQERGFgYiIoDAQEREUBiIigsJARESA/w/fpRRZLT9jSAAAAABJRU5ErkJggg==\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "preds=model.predict(X_test)\n", - "r2_score(y_test,preds.squeeze())" - ], - "metadata": { - "id": "ObuEfO5Eoe-E", - "outputId": "bafb6eb0-6710-4342-ea8e-7782b15e08fd", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 32, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "0.9949060115054705" - ] - }, - "metadata": {}, - "execution_count": 32 - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/200816_A2.ipynb b/Assignment 2/200816_A2.ipynb deleted file mode 100644 index e1a426c..0000000 --- a/Assignment 2/200816_A2.ipynb +++ /dev/null @@ -1,565 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "CVusingTF_Assgn2.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "for i in range (5):\n", - " plt.scatter(X_train[:,i],y_train)\n", - "\n", - "\n", - "# Your code here" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "75bcc3b3-0559-45e7-ad6f-f12a75b2f08d" - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "model = keras.Sequential([keras.layers.Dense(5,input_dim=5,activation='relu'),keras.layers.Dense(5,activation='relu'),keras.layers.Dense(1)])\n", - "model.compile(loss='mean_squared_error',optimizer=tf.keras.optimizers.SGD(0.001))\n", - "history = model.fit(X_train,y_train,epochs=50,validation_split=0.2,verbose=2)\n", - "predictions = model.predict(X_test)\n", - "\n", - "\n", - "# Your code here" - ], - "metadata": { - "id": "r32N1xK2ziOs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "e74b01fe-9f46-4562-fdaf-5b8ad24935c1" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/50\n", - "200/200 - 1s - loss: 1400.1647 - val_loss: 2141.0627 - 865ms/epoch - 4ms/step\n", - "Epoch 2/50\n", - "200/200 - 0s - loss: 340.9002 - val_loss: 44.8760 - 275ms/epoch - 1ms/step\n", - "Epoch 3/50\n", - "200/200 - 0s - loss: 492.3806 - val_loss: 192.2196 - 289ms/epoch - 1ms/step\n", - "Epoch 4/50\n", - "200/200 - 0s - loss: 147.8546 - val_loss: 525.9345 - 369ms/epoch - 2ms/step\n", - "Epoch 5/50\n", - "200/200 - 0s - loss: 202.5587 - val_loss: 45.8932 - 259ms/epoch - 1ms/step\n", - "Epoch 6/50\n", - "200/200 - 0s - loss: 227.0734 - val_loss: 41.9783 - 270ms/epoch - 1ms/step\n", - "Epoch 7/50\n", - "200/200 - 0s - loss: 159.3960 - val_loss: 59.6942 - 284ms/epoch - 1ms/step\n", - "Epoch 8/50\n", - "200/200 - 0s - loss: 239.3188 - val_loss: 29.9748 - 281ms/epoch - 1ms/step\n", - "Epoch 9/50\n", - "200/200 - 0s - loss: 152.8331 - val_loss: 221.7097 - 298ms/epoch - 1ms/step\n", - "Epoch 10/50\n", - "200/200 - 0s - loss: 338.3758 - val_loss: 64.0810 - 284ms/epoch - 1ms/step\n", - "Epoch 11/50\n", - "200/200 - 0s - loss: 209.4844 - val_loss: 59.8163 - 267ms/epoch - 1ms/step\n", - "Epoch 12/50\n", - "200/200 - 0s - loss: 251.1109 - val_loss: 435.7401 - 262ms/epoch - 1ms/step\n", - "Epoch 13/50\n", - "200/200 - 0s - loss: 622.8074 - val_loss: 39.8785 - 284ms/epoch - 1ms/step\n", - "Epoch 14/50\n", - "200/200 - 0s - loss: 166.6548 - val_loss: 352.9469 - 258ms/epoch - 1ms/step\n", - "Epoch 15/50\n", - "200/200 - 0s - loss: 188.5881 - val_loss: 36.6427 - 275ms/epoch - 1ms/step\n", - "Epoch 16/50\n", - "200/200 - 0s - loss: 178.6596 - val_loss: 62.4603 - 271ms/epoch - 1ms/step\n", - "Epoch 17/50\n", - "200/200 - 0s - loss: 140.6317 - val_loss: 36.7756 - 258ms/epoch - 1ms/step\n", - "Epoch 18/50\n", - "200/200 - 0s - loss: 262.6449 - val_loss: 115.1941 - 284ms/epoch - 1ms/step\n", - "Epoch 19/50\n", - "200/200 - 0s - loss: 174.5533 - val_loss: 50.6086 - 265ms/epoch - 1ms/step\n", - "Epoch 20/50\n", - "200/200 - 0s - loss: 202.2552 - val_loss: 1926.5394 - 279ms/epoch - 1ms/step\n", - "Epoch 21/50\n", - "200/200 - 0s - loss: 229.1364 - val_loss: 124.1915 - 263ms/epoch - 1ms/step\n", - "Epoch 22/50\n", - "200/200 - 0s - loss: 461.1045 - val_loss: 88.1916 - 279ms/epoch - 1ms/step\n", - "Epoch 23/50\n", - "200/200 - 0s - loss: 295.3871 - val_loss: 48.4503 - 262ms/epoch - 1ms/step\n", - "Epoch 24/50\n", - "200/200 - 0s - loss: 95.2892 - val_loss: 51.6104 - 257ms/epoch - 1ms/step\n", - "Epoch 25/50\n", - "200/200 - 0s - loss: 97.4321 - val_loss: 83.4106 - 260ms/epoch - 1ms/step\n", - "Epoch 26/50\n", - "200/200 - 0s - loss: 156.3376 - val_loss: 43.0365 - 290ms/epoch - 1ms/step\n", - "Epoch 27/50\n", - "200/200 - 0s - loss: 382.1672 - val_loss: 33.2760 - 275ms/epoch - 1ms/step\n", - "Epoch 28/50\n", - "200/200 - 0s - loss: 158.5331 - val_loss: 229.5324 - 275ms/epoch - 1ms/step\n", - "Epoch 29/50\n", - "200/200 - 0s - loss: 89.6189 - val_loss: 911.1938 - 266ms/epoch - 1ms/step\n", - "Epoch 30/50\n", - "200/200 - 0s - loss: 149.3119 - val_loss: 808.9080 - 280ms/epoch - 1ms/step\n", - "Epoch 31/50\n", - "200/200 - 0s - loss: 301.7253 - val_loss: 41.8418 - 258ms/epoch - 1ms/step\n", - "Epoch 32/50\n", - "200/200 - 0s - loss: 102.5081 - val_loss: 37.0123 - 273ms/epoch - 1ms/step\n", - "Epoch 33/50\n", - "200/200 - 0s - loss: 130.9274 - val_loss: 163.9801 - 259ms/epoch - 1ms/step\n", - "Epoch 34/50\n", - "200/200 - 0s - loss: 153.3079 - val_loss: 52.8656 - 280ms/epoch - 1ms/step\n", - "Epoch 35/50\n", - "200/200 - 0s - loss: 151.9014 - val_loss: 43.4715 - 284ms/epoch - 1ms/step\n", - "Epoch 36/50\n", - "200/200 - 0s - loss: 168.6933 - val_loss: 32.9337 - 264ms/epoch - 1ms/step\n", - "Epoch 37/50\n", - "200/200 - 0s - loss: 91.0383 - val_loss: 44.8102 - 282ms/epoch - 1ms/step\n", - "Epoch 38/50\n", - "200/200 - 0s - loss: 85.5136 - val_loss: 283.6330 - 266ms/epoch - 1ms/step\n", - "Epoch 39/50\n", - "200/200 - 0s - loss: 147.2607 - val_loss: 513.7488 - 260ms/epoch - 1ms/step\n", - "Epoch 40/50\n", - "200/200 - 0s - loss: 169.6636 - val_loss: 222.6365 - 278ms/epoch - 1ms/step\n", - "Epoch 41/50\n", - "200/200 - 0s - loss: 156.9541 - val_loss: 31.6757 - 272ms/epoch - 1ms/step\n", - "Epoch 42/50\n", - "200/200 - 0s - loss: 231.9851 - val_loss: 77.3350 - 277ms/epoch - 1ms/step\n", - "Epoch 43/50\n", - "200/200 - 0s - loss: 257.5688 - val_loss: 47.2681 - 281ms/epoch - 1ms/step\n", - "Epoch 44/50\n", - "200/200 - 0s - loss: 326.8341 - val_loss: 31.5751 - 264ms/epoch - 1ms/step\n", - "Epoch 45/50\n", - "200/200 - 0s - loss: 94.9101 - val_loss: 70.3932 - 275ms/epoch - 1ms/step\n", - "Epoch 46/50\n", - "200/200 - 0s - loss: 110.4162 - val_loss: 34.9609 - 261ms/epoch - 1ms/step\n", - "Epoch 47/50\n", - "200/200 - 0s - loss: 137.7447 - val_loss: 78.6928 - 275ms/epoch - 1ms/step\n", - "Epoch 48/50\n", - "200/200 - 0s - loss: 75.7320 - val_loss: 1105.6212 - 281ms/epoch - 1ms/step\n", - "Epoch 49/50\n", - "200/200 - 0s - loss: 113.9831 - val_loss: 86.3590 - 273ms/epoch - 1ms/step\n", - "Epoch 50/50\n", - "200/200 - 0s - loss: 121.9195 - val_loss: 33.9616 - 269ms/epoch - 1ms/step\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code here\n", - "plt.plot(history.history['loss'],label='loss')\n", - "plt.plot(history.history['val_loss'],label='val_loss')" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "8e605b93-8215-487c-8882-a755eafc6241" - }, - "execution_count": 7, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "[]" - ] - }, - "metadata": {}, - "execution_count": 7 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "# Insert the function for R2 Score\n", - "def r2_score(y_true,y_pred):\n", - " \n", - " y_mean = y_true.mean()\n", - " return 1 - (((y_true-y_pred)**2).mean())/(((y_true-y_mean)**2).mean())\n", - "acuu = r2_score(y_test,predictions.flatten()) \n", - "print('Accuracy :', acuu)\n", - "\n" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "38a20e3b-f988-42ab-f639-25b9f7ee6efa" - }, - "execution_count": 13, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy : 0.9976567220172706\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "Your text here" - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code here\n", - "model_custom = keras.Sequential([keras.layers.Dense(64,input_dim=5,activation='relu'),\n", - " keras.layers.Dense(15,activation='relu'),\n", - " keras.layers.Dense(10,activation='relu'),\n", - " keras.layers.Dense(1)])\n", - "model_custom.compile(optimizer=tf.optimizers.Adam(learning_rate=0.001),\n", - " loss='mean_absolute_error')\n", - "history_custom = model_custom.fit(\n", - " X_train,y_train,\n", - " validation_split =0.2,\n", - " verbose=2,epochs=50\n", - ")" - ], - "metadata": { - "id": "1XOk5hJu0oSQ", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "8b428952-6a1c-4143-8034-a50d1b89a255" - }, - "execution_count": 32, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/50\n", - "200/200 - 1s - loss: 86.9274 - val_loss: 62.6012 - 799ms/epoch - 4ms/step\n", - "Epoch 2/50\n", - "200/200 - 0s - loss: 19.8114 - val_loss: 9.6341 - 335ms/epoch - 2ms/step\n", - "Epoch 3/50\n", - "200/200 - 0s - loss: 8.5663 - val_loss: 8.0135 - 349ms/epoch - 2ms/step\n", - "Epoch 4/50\n", - "200/200 - 0s - loss: 7.0574 - val_loss: 6.5489 - 324ms/epoch - 2ms/step\n", - "Epoch 5/50\n", - "200/200 - 0s - loss: 5.6996 - val_loss: 5.2579 - 324ms/epoch - 2ms/step\n", - "Epoch 6/50\n", - "200/200 - 0s - loss: 4.8941 - val_loss: 4.7478 - 324ms/epoch - 2ms/step\n", - "Epoch 7/50\n", - "200/200 - 0s - loss: 4.5774 - val_loss: 4.4956 - 310ms/epoch - 2ms/step\n", - "Epoch 8/50\n", - "200/200 - 0s - loss: 4.4216 - val_loss: 4.5247 - 332ms/epoch - 2ms/step\n", - "Epoch 9/50\n", - "200/200 - 0s - loss: 4.3259 - val_loss: 4.4404 - 340ms/epoch - 2ms/step\n", - "Epoch 10/50\n", - "200/200 - 0s - loss: 4.2725 - val_loss: 4.3309 - 317ms/epoch - 2ms/step\n", - "Epoch 11/50\n", - "200/200 - 0s - loss: 4.2383 - val_loss: 4.4178 - 323ms/epoch - 2ms/step\n", - "Epoch 12/50\n", - "200/200 - 0s - loss: 4.1996 - val_loss: 4.5615 - 314ms/epoch - 2ms/step\n", - "Epoch 13/50\n", - "200/200 - 0s - loss: 4.2129 - val_loss: 4.5135 - 337ms/epoch - 2ms/step\n", - "Epoch 14/50\n", - "200/200 - 0s - loss: 4.1564 - val_loss: 4.2678 - 327ms/epoch - 2ms/step\n", - "Epoch 15/50\n", - "200/200 - 0s - loss: 4.1129 - val_loss: 4.3327 - 348ms/epoch - 2ms/step\n", - "Epoch 16/50\n", - "200/200 - 0s - loss: 4.1318 - val_loss: 4.2996 - 416ms/epoch - 2ms/step\n", - "Epoch 17/50\n", - "200/200 - 1s - loss: 4.1150 - val_loss: 4.5790 - 541ms/epoch - 3ms/step\n", - "Epoch 18/50\n", - "200/200 - 1s - loss: 4.0718 - val_loss: 4.3515 - 563ms/epoch - 3ms/step\n", - "Epoch 19/50\n", - "200/200 - 1s - loss: 4.1166 - val_loss: 4.1774 - 562ms/epoch - 3ms/step\n", - "Epoch 20/50\n", - "200/200 - 0s - loss: 4.0774 - val_loss: 4.5272 - 363ms/epoch - 2ms/step\n", - "Epoch 21/50\n", - "200/200 - 0s - loss: 4.0964 - val_loss: 4.3456 - 333ms/epoch - 2ms/step\n", - "Epoch 22/50\n", - "200/200 - 0s - loss: 4.0463 - val_loss: 4.2782 - 317ms/epoch - 2ms/step\n", - "Epoch 23/50\n", - "200/200 - 0s - loss: 4.0313 - val_loss: 4.1738 - 307ms/epoch - 2ms/step\n", - "Epoch 24/50\n", - "200/200 - 0s - loss: 4.0393 - val_loss: 4.3118 - 324ms/epoch - 2ms/step\n", - "Epoch 25/50\n", - "200/200 - 0s - loss: 4.0653 - val_loss: 4.2462 - 330ms/epoch - 2ms/step\n", - "Epoch 26/50\n", - "200/200 - 0s - loss: 4.0408 - val_loss: 4.2241 - 312ms/epoch - 2ms/step\n", - "Epoch 27/50\n", - "200/200 - 0s - loss: 4.0641 - val_loss: 4.1905 - 321ms/epoch - 2ms/step\n", - "Epoch 28/50\n", - "200/200 - 0s - loss: 4.0306 - val_loss: 4.2208 - 322ms/epoch - 2ms/step\n", - "Epoch 29/50\n", - "200/200 - 0s - loss: 4.0128 - val_loss: 4.4978 - 316ms/epoch - 2ms/step\n", - "Epoch 30/50\n", - "200/200 - 0s - loss: 4.0218 - val_loss: 4.1599 - 328ms/epoch - 2ms/step\n", - "Epoch 31/50\n", - "200/200 - 0s - loss: 4.0020 - val_loss: 4.1927 - 320ms/epoch - 2ms/step\n", - "Epoch 32/50\n", - "200/200 - 0s - loss: 4.0253 - val_loss: 4.1439 - 327ms/epoch - 2ms/step\n", - "Epoch 33/50\n", - "200/200 - 0s - loss: 4.0297 - val_loss: 4.2742 - 315ms/epoch - 2ms/step\n", - "Epoch 34/50\n", - "200/200 - 0s - loss: 4.0132 - val_loss: 4.3917 - 313ms/epoch - 2ms/step\n", - "Epoch 35/50\n", - "200/200 - 0s - loss: 3.9896 - val_loss: 4.2615 - 322ms/epoch - 2ms/step\n", - "Epoch 36/50\n", - "200/200 - 0s - loss: 3.9916 - val_loss: 4.1592 - 333ms/epoch - 2ms/step\n", - "Epoch 37/50\n", - "200/200 - 0s - loss: 4.0609 - val_loss: 4.1600 - 332ms/epoch - 2ms/step\n", - "Epoch 38/50\n", - "200/200 - 0s - loss: 4.0511 - val_loss: 4.3256 - 317ms/epoch - 2ms/step\n", - "Epoch 39/50\n", - "200/200 - 0s - loss: 4.0149 - val_loss: 4.2721 - 337ms/epoch - 2ms/step\n", - "Epoch 40/50\n", - "200/200 - 0s - loss: 4.0123 - val_loss: 4.2894 - 335ms/epoch - 2ms/step\n", - "Epoch 41/50\n", - "200/200 - 0s - loss: 3.9865 - val_loss: 4.2675 - 332ms/epoch - 2ms/step\n", - "Epoch 42/50\n", - "200/200 - 0s - loss: 3.9872 - val_loss: 4.1983 - 317ms/epoch - 2ms/step\n", - "Epoch 43/50\n", - "200/200 - 0s - loss: 3.9874 - val_loss: 4.2046 - 324ms/epoch - 2ms/step\n", - "Epoch 44/50\n", - "200/200 - 0s - loss: 3.9847 - val_loss: 4.2214 - 323ms/epoch - 2ms/step\n", - "Epoch 45/50\n", - "200/200 - 0s - loss: 3.9833 - val_loss: 4.2228 - 305ms/epoch - 2ms/step\n", - "Epoch 46/50\n", - "200/200 - 0s - loss: 3.9758 - val_loss: 4.4382 - 316ms/epoch - 2ms/step\n", - "Epoch 47/50\n", - "200/200 - 0s - loss: 3.9682 - val_loss: 4.1712 - 295ms/epoch - 1ms/step\n", - "Epoch 48/50\n", - "200/200 - 0s - loss: 3.9963 - val_loss: 4.1989 - 319ms/epoch - 2ms/step\n", - "Epoch 49/50\n", - "200/200 - 0s - loss: 3.9923 - val_loss: 4.1604 - 318ms/epoch - 2ms/step\n", - "Epoch 50/50\n", - "200/200 - 0s - loss: 3.9805 - val_loss: 4.2202 - 333ms/epoch - 2ms/step\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['loss'],label='loss')\n", - "plt.plot(history.history['val_loss'],label='val_loss')\n" - ], - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "fa91ceb9-10ee-4dc1-f1d6-34ade0308e15" - }, - "execution_count": 33, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "[]" - ] - }, - "metadata": {}, - "execution_count": 33 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "prediction_custom = model_custom.predict(X_test)\n", - "r2_score(y_test,prediction_custom.flatten())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "fAAqr7VbcWDS", - "outputId": "34a8a602-7eba-4823-9b28-c22e2ae1b59c" - }, - "execution_count": 34, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "0.9980862492729278" - ] - }, - "metadata": {}, - "execution_count": 34 - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_200014.ipynb b/Assignment 2/A2_200014.ipynb deleted file mode 100644 index 973ca6c..0000000 --- a/Assignment 2/A2_200014.ipynb +++ /dev/null @@ -1,1090 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "UxcaEbrCy1g_" - }, - "source": [ - "# Assigment 2: Deep Learning" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "h2JON-_Oy79w" - }, - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "x, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "\n", - "# Split the data\n", - "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "H6yGzfrTyqcs", - "outputId": "60310a69-fdbc-4da7-8dcf-573e8a2ef598" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(80, 6)" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import numpy as np\n", - "y_train=y_train.reshape(-1,1)\n", - "z_train=np.concatenate((x_train,y_train),axis=1)\n", - "z_train.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "ZFK06IAqz7JU", - "outputId": "11d0d9a8-0102-4b5a-e00c-64f2958be46a" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "-261.6982943912921" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "y_train.min()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r6it-Rm7zD1Y" - }, - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "UautPVj1yzaQ", - "outputId": "c1ceed4c-fa2f-4a3d-f9ba-547b66f1c1c8" - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "# Visualizing the train dataset \n", - "import matplotlib.pyplot as plt\n", - "fig, axs = plt.subplots(5,figsize=(20,30))\n", - "\n", - "for i in range(5):\n", - " axs[i].scatter(x_train[:,i],y_train)\n", - "\n", - "\n", - "\n", - "\n", - "# Your code here" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "erZ1XReZ1QzO", - "outputId": "db319adf-ff5f-4dbe-af6f-ed1bf8c8239a" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "# Represents what is the value counts of different values in the target column in training dataset\n", - "import seaborn as sns\n", - "plt.figure(figsize=(2,20))\n", - "sns.heatmap(y_train,cmap='viridis')\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "XMXb9lTyzGHE" - }, - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "id": "r32N1xK2ziOs" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "\n", - "\n", - "def build_model():\n", - " model=tf.keras.models.Sequential([\n", - " tf.keras.layers.InputLayer(input_shape=5) ,\n", - " tf.keras.layers.Dense(5,activation='relu'),\n", - " tf.keras.layers.Dense(5,activation='relu'),\n", - " tf.keras.layers.Dense(1)\n", - "\n", - " ])\n", - "\n", - " optimi=tf.keras.optimizers.SGD( learning_rate=0.01)\n", - "\n", - "\n", - " model.compile(loss='mean_squared_error',optimizer=optimi,metrics=['mse'])\n", - " return model\n", - "\n", - "model=build_model()\n", - "\n", - "\n", - "\n", - "# Your code here" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "yIQ0mPVfrUzy", - "outputId": "daba414e-804c-4d68-adf0-f360943225fa" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense (Dense) (None, 5) 30 \n", - " \n", - " dense_1 (Dense) (None, 5) 30 \n", - " \n", - " dense_2 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 66\n", - "Trainable params: 66\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "model.summary()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "0pL-Eg_8rzsm", - "outputId": "2e1dd950-09bc-4254-d3dd-7486d02010e4" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/100\n", - "2/2 [==============================] - 1s 306ms/step - loss: 12262.9619 - mse: 12262.9619 - val_loss: 11092.0488 - val_mse: 11092.0488\n", - "Epoch 2/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 14371.0664 - mse: 14371.0664 - val_loss: 7165.2935 - val_mse: 7165.2935\n", - "Epoch 3/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12583.0078 - mse: 12583.0078 - val_loss: 7146.7114 - val_mse: 7146.7114\n", - "Epoch 4/100\n", - "2/2 [==============================] - 0s 48ms/step - loss: 12578.8672 - mse: 12578.8672 - val_loss: 7129.0264 - val_mse: 7129.0264\n", - "Epoch 5/100\n", - "2/2 [==============================] - 0s 54ms/step - loss: 12573.8975 - mse: 12573.8975 - val_loss: 7111.7861 - val_mse: 7111.7861\n", - "Epoch 6/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12572.4795 - mse: 12572.4795 - val_loss: 7095.2236 - val_mse: 7095.2236\n", - "Epoch 7/100\n", - "2/2 [==============================] - 0s 47ms/step - loss: 12567.2871 - mse: 12567.2871 - val_loss: 7079.9390 - val_mse: 7079.9390\n", - "Epoch 8/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12563.1133 - mse: 12563.1133 - val_loss: 7065.2163 - val_mse: 7065.2163\n", - "Epoch 9/100\n", - "2/2 [==============================] - 0s 47ms/step - loss: 12560.5127 - mse: 12560.5127 - val_loss: 7051.2412 - val_mse: 7051.2412\n", - "Epoch 10/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 12570.8369 - mse: 12570.8369 - val_loss: 7037.2227 - val_mse: 7037.2227\n", - "Epoch 11/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12555.1982 - mse: 12555.1982 - val_loss: 7024.4541 - val_mse: 7024.4541\n", - "Epoch 12/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 12553.8750 - mse: 12553.8750 - val_loss: 7012.1353 - val_mse: 7012.1353\n", - "Epoch 13/100\n", - "2/2 [==============================] - 0s 39ms/step - loss: 12557.2422 - mse: 12557.2422 - val_loss: 7000.1250 - val_mse: 7000.1250\n", - "Epoch 14/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12549.5371 - mse: 12549.5371 - val_loss: 6989.2041 - val_mse: 6989.2041\n", - "Epoch 15/100\n", - "2/2 [==============================] - 0s 39ms/step - loss: 12549.4453 - mse: 12549.4453 - val_loss: 6978.8999 - val_mse: 6978.8999\n", - "Epoch 16/100\n", - "2/2 [==============================] - 0s 40ms/step - loss: 12547.2168 - mse: 12547.2168 - val_loss: 6968.6260 - val_mse: 6968.6260\n", - "Epoch 17/100\n", - "2/2 [==============================] - 0s 39ms/step - loss: 12549.8320 - mse: 12549.8320 - val_loss: 6958.6318 - val_mse: 6958.6318\n", - "Epoch 18/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 12542.8301 - mse: 12542.8301 - val_loss: 6949.4780 - val_mse: 6949.4780\n", - "Epoch 19/100\n", - "2/2 [==============================] - 0s 40ms/step - loss: 12542.5918 - mse: 12542.5918 - val_loss: 6940.5669 - val_mse: 6940.5669\n", - "Epoch 20/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 12540.4268 - mse: 12540.4268 - val_loss: 6932.1987 - val_mse: 6932.1987\n", - "Epoch 21/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 12549.0176 - mse: 12549.0176 - val_loss: 6923.7275 - val_mse: 6923.7275\n", - "Epoch 22/100\n", - "2/2 [==============================] - 0s 40ms/step - loss: 12551.0293 - mse: 12551.0293 - val_loss: 6915.5625 - val_mse: 6915.5625\n", - "Epoch 23/100\n", - "2/2 [==============================] - 0s 50ms/step - loss: 12538.0781 - mse: 12538.0781 - val_loss: 6908.1865 - val_mse: 6908.1865\n", - "Epoch 24/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 12543.6709 - mse: 12543.6709 - val_loss: 6900.8511 - val_mse: 6900.8511\n", - "Epoch 25/100\n", - "2/2 [==============================] - 0s 46ms/step - loss: 12539.5977 - mse: 12539.5977 - val_loss: 6894.5586 - val_mse: 6894.5586\n", - "Epoch 26/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 12539.6719 - mse: 12539.6719 - val_loss: 6887.9038 - val_mse: 6887.9038\n", - "Epoch 27/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12538.1367 - mse: 12538.1367 - val_loss: 6881.5728 - val_mse: 6881.5728\n", - "Epoch 28/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12542.5918 - mse: 12542.5918 - val_loss: 6875.3584 - val_mse: 6875.3584\n", - "Epoch 29/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12533.7070 - mse: 12533.7070 - val_loss: 6869.7583 - val_mse: 6869.7583\n", - "Epoch 30/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12548.0664 - mse: 12548.0664 - val_loss: 6863.9131 - val_mse: 6863.9131\n", - "Epoch 31/100\n", - "2/2 [==============================] - 0s 47ms/step - loss: 12532.1807 - mse: 12532.1807 - val_loss: 6858.8984 - val_mse: 6858.8984\n", - "Epoch 32/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 12531.9277 - mse: 12531.9277 - val_loss: 6854.0508 - val_mse: 6854.0508\n", - "Epoch 33/100\n", - "2/2 [==============================] - 0s 59ms/step - loss: 12537.1016 - mse: 12537.1016 - val_loss: 6849.8359 - val_mse: 6849.8359\n", - "Epoch 34/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 12532.6133 - mse: 12532.6133 - val_loss: 6845.2505 - val_mse: 6845.2505\n", - "Epoch 35/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 12538.8633 - mse: 12538.8633 - val_loss: 6840.6216 - val_mse: 6840.6216\n", - "Epoch 36/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12531.0820 - mse: 12531.0820 - val_loss: 6836.4883 - val_mse: 6836.4883\n", - "Epoch 37/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12533.3271 - mse: 12533.3271 - val_loss: 6832.3882 - val_mse: 6832.3882\n", - "Epoch 38/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 12530.0039 - mse: 12530.0039 - val_loss: 6828.8008 - val_mse: 6828.8008\n", - "Epoch 39/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12529.7305 - mse: 12529.7305 - val_loss: 6825.2300 - val_mse: 6825.2300\n", - "Epoch 40/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 12532.9531 - mse: 12532.9531 - val_loss: 6822.1538 - val_mse: 6822.1538\n", - "Epoch 41/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 12545.0898 - mse: 12545.0898 - val_loss: 6819.2314 - val_mse: 6819.2314\n", - "Epoch 42/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12530.6523 - mse: 12530.6523 - val_loss: 6815.5562 - val_mse: 6815.5562\n", - "Epoch 43/100\n", - "2/2 [==============================] - 0s 40ms/step - loss: 12526.3711 - mse: 12526.3711 - val_loss: 6809.5137 - val_mse: 6809.5137\n", - "Epoch 44/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12515.4746 - mse: 12515.4746 - val_loss: 6797.6768 - val_mse: 6797.6768\n", - "Epoch 45/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12492.8398 - mse: 12492.8398 - val_loss: 6772.5537 - val_mse: 6772.5537\n", - "Epoch 46/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 12305.8164 - mse: 12305.8164 - val_loss: 6718.9775 - val_mse: 6718.9775\n", - "Epoch 47/100\n", - "2/2 [==============================] - 0s 40ms/step - loss: 11177.3145 - mse: 11177.3145 - val_loss: 38427.1367 - val_mse: 38427.1367\n", - "Epoch 48/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 37039.4844 - mse: 37039.4844 - val_loss: 12114.6426 - val_mse: 12114.6426\n", - "Epoch 49/100\n", - "2/2 [==============================] - 0s 46ms/step - loss: 379740.7188 - mse: 379740.7188 - val_loss: 6984.1729 - val_mse: 6984.1729\n", - "Epoch 50/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12546.5430 - mse: 12546.5430 - val_loss: 6973.8364 - val_mse: 6973.8364\n", - "Epoch 51/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12557.4473 - mse: 12557.4473 - val_loss: 6963.4180 - val_mse: 6963.4180\n", - "Epoch 52/100\n", - "2/2 [==============================] - 0s 47ms/step - loss: 12543.7080 - mse: 12543.7080 - val_loss: 6954.1152 - val_mse: 6954.1152\n", - "Epoch 53/100\n", - "2/2 [==============================] - 0s 76ms/step - loss: 12544.0078 - mse: 12544.0078 - val_loss: 6945.3711 - val_mse: 6945.3711\n", - "Epoch 54/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12556.0166 - mse: 12556.0166 - val_loss: 6937.4219 - val_mse: 6937.4219\n", - "Epoch 55/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12555.8555 - mse: 12555.8555 - val_loss: 6929.8418 - val_mse: 6929.8418\n", - "Epoch 56/100\n", - "2/2 [==============================] - 0s 46ms/step - loss: 12539.0918 - mse: 12539.0918 - val_loss: 6921.9487 - val_mse: 6921.9487\n", - "Epoch 57/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12545.1680 - mse: 12545.1680 - val_loss: 6914.0068 - val_mse: 6914.0068\n", - "Epoch 58/100\n", - "2/2 [==============================] - 0s 48ms/step - loss: 12538.1182 - mse: 12538.1182 - val_loss: 6906.6826 - val_mse: 6906.6826\n", - "Epoch 59/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12536.4043 - mse: 12536.4043 - val_loss: 6899.8540 - val_mse: 6899.8540\n", - "Epoch 60/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 12545.4170 - mse: 12545.4170 - val_loss: 6893.7852 - val_mse: 6893.7852\n", - "Epoch 61/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12540.1338 - mse: 12540.1338 - val_loss: 6887.1465 - val_mse: 6887.1465\n", - "Epoch 62/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12535.9805 - mse: 12535.9805 - val_loss: 6881.3438 - val_mse: 6881.3438\n", - "Epoch 63/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 12533.7822 - mse: 12533.7822 - val_loss: 6875.5820 - val_mse: 6875.5820\n", - "Epoch 64/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12534.3340 - mse: 12534.3340 - val_loss: 6869.9229 - val_mse: 6869.9229\n", - "Epoch 65/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12544.7490 - mse: 12544.7490 - val_loss: 6864.1406 - val_mse: 6864.1406\n", - "Epoch 66/100\n", - "2/2 [==============================] - 0s 48ms/step - loss: 12532.7070 - mse: 12532.7070 - val_loss: 6859.2402 - val_mse: 6859.2402\n", - "Epoch 67/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 12540.0264 - mse: 12540.0264 - val_loss: 6854.8760 - val_mse: 6854.8760\n", - "Epoch 68/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12532.3975 - mse: 12532.3975 - val_loss: 6850.1201 - val_mse: 6850.1201\n", - "Epoch 69/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 12539.5771 - mse: 12539.5771 - val_loss: 6846.1504 - val_mse: 6846.1504\n", - "Epoch 70/100\n", - "2/2 [==============================] - 0s 48ms/step - loss: 12534.7676 - mse: 12534.7676 - val_loss: 6842.2109 - val_mse: 6842.2109\n", - "Epoch 71/100\n", - "2/2 [==============================] - 0s 47ms/step - loss: 12535.3730 - mse: 12535.3730 - val_loss: 6837.8101 - val_mse: 6837.8101\n", - "Epoch 72/100\n", - "2/2 [==============================] - 0s 40ms/step - loss: 12530.4844 - mse: 12530.4844 - val_loss: 6834.0049 - val_mse: 6834.0049\n", - "Epoch 73/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 12535.9141 - mse: 12535.9141 - val_loss: 6830.6431 - val_mse: 6830.6431\n", - "Epoch 74/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12529.7637 - mse: 12529.7637 - val_loss: 6827.0908 - val_mse: 6827.0908\n", - "Epoch 75/100\n", - "2/2 [==============================] - 0s 46ms/step - loss: 12537.2832 - mse: 12537.2832 - val_loss: 6824.0693 - val_mse: 6824.0693\n", - "Epoch 76/100\n", - "2/2 [==============================] - 0s 46ms/step - loss: 12560.0615 - mse: 12560.0615 - val_loss: 6821.5796 - val_mse: 6821.5796\n", - "Epoch 77/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 12534.9043 - mse: 12534.9043 - val_loss: 6818.0249 - val_mse: 6818.0249\n", - "Epoch 78/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 12530.1738 - mse: 12530.1738 - val_loss: 6814.8101 - val_mse: 6814.8101\n", - "Epoch 79/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12530.2627 - mse: 12530.2627 - val_loss: 6811.7124 - val_mse: 6811.7124\n", - "Epoch 80/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 12531.0273 - mse: 12531.0273 - val_loss: 6809.1479 - val_mse: 6809.1479\n", - "Epoch 81/100\n", - "2/2 [==============================] - 0s 54ms/step - loss: 12528.5293 - mse: 12528.5293 - val_loss: 6806.4868 - val_mse: 6806.4868\n", - "Epoch 82/100\n", - "2/2 [==============================] - 0s 48ms/step - loss: 12528.3770 - mse: 12528.3770 - val_loss: 6803.9165 - val_mse: 6803.9165\n", - "Epoch 83/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 12530.9883 - mse: 12530.9883 - val_loss: 6801.2090 - val_mse: 6801.2090\n", - "Epoch 84/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 12528.4297 - mse: 12528.4297 - val_loss: 6798.7744 - val_mse: 6798.7744\n", - "Epoch 85/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 12542.8262 - mse: 12542.8262 - val_loss: 6797.0767 - val_mse: 6797.0767\n", - "Epoch 86/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12527.9600 - mse: 12527.9600 - val_loss: 6794.8916 - val_mse: 6794.8916\n", - "Epoch 87/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 12527.9473 - mse: 12527.9473 - val_loss: 6792.7568 - val_mse: 6792.7568\n", - "Epoch 88/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 12532.5371 - mse: 12532.5371 - val_loss: 6790.4355 - val_mse: 6790.4355\n", - "Epoch 89/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12530.3691 - mse: 12530.3691 - val_loss: 6788.7583 - val_mse: 6788.7583\n", - "Epoch 90/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 12536.0205 - mse: 12536.0205 - val_loss: 6786.4990 - val_mse: 6786.4990\n", - "Epoch 91/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 12528.2305 - mse: 12528.2305 - val_loss: 6784.8643 - val_mse: 6784.8643\n", - "Epoch 92/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 12538.0020 - mse: 12538.0020 - val_loss: 6782.7163 - val_mse: 6782.7163\n", - "Epoch 93/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12529.5488 - mse: 12529.5488 - val_loss: 6780.9121 - val_mse: 6780.9121\n", - "Epoch 94/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 12530.9824 - mse: 12530.9824 - val_loss: 6779.1187 - val_mse: 6779.1187\n", - "Epoch 95/100\n", - "2/2 [==============================] - 0s 46ms/step - loss: 12529.6895 - mse: 12529.6895 - val_loss: 6777.8877 - val_mse: 6777.8877\n", - "Epoch 96/100\n", - "2/2 [==============================] - 0s 40ms/step - loss: 12530.5879 - mse: 12530.5879 - val_loss: 6776.2295 - val_mse: 6776.2295\n", - "Epoch 97/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12527.2910 - mse: 12527.2910 - val_loss: 6774.9199 - val_mse: 6774.9199\n", - "Epoch 98/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 12533.8867 - mse: 12533.8867 - val_loss: 6774.0078 - val_mse: 6774.0078\n", - "Epoch 99/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 12530.3994 - mse: 12530.3994 - val_loss: 6772.5107 - val_mse: 6772.5107\n", - "Epoch 100/100\n", - "2/2 [==============================] - 0s 50ms/step - loss: 12527.2217 - mse: 12527.2217 - val_loss: 6771.3604 - val_mse: 6771.3604\n" - ] - } - ], - "source": [ - "results=model.fit(x_train,y_train,epochs=100,validation_split=0.2)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jmeP6vt3z0oA" - }, - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 206 - }, - "id": "RQTNqPHm0mOi", - "outputId": "a2aa2f5d-d682-4afa-b3e9-457edfd64ccd" - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " loss mse val_loss val_mse epoch\n", - "95 12530.587891 12530.587891 6776.229492 6776.229492 95\n", - "96 12527.291016 12527.291016 6774.919922 6774.919922 96\n", - "97 12533.886719 12533.886719 6774.007812 6774.007812 97\n", - "98 12530.399414 12530.399414 6772.510742 6772.510742 98\n", - "99 12527.221680 12527.221680 6771.360352 6771.360352 99" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pandas as pd\n", - "res=pd.DataFrame(results.history)\n", - "res['epoch']=results.epoch\n", - "res.tail()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "id": "ubeaG8e9t7im", - "outputId": "f763ebb3-d143-484d-b333-ccda2479bdb7" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(res['epoch'],res['loss'])\n", - "plt.plot(res['epoch'],res['val_loss'])\n", - "plt.legend([\"Loss\",\"Val_Loss\"])\n", - "# plt.xlim(0,80)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IVrR_vXA7kOt" - }, - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "id": "-lOHpD8-7ggm" - }, - "outputs": [], - "source": [ - "# Insert the function for R2 Score\n", - "\n", - "def r2_score_predictor(y_true,y_pred):\n", - " from sklearn.metrics import r2_score\n", - " r=r2_score(y_true,y_pred)\n", - " return r\n", - "predictions=model.predict(x_test)\n", - "r=r2_score_predictor(y_test,predictions)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "SCApVNjtzbv8", - "outputId": "f108f6c9-9479-442a-f7f4-2c087c3986da" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The r2_score value is -0.0909121073526411\n" - ] - } - ], - "source": [ - "print(\"The r2_score value is \",r)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "CHqzF1OU0pBg" - }, - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jF8oTUqq0y0g" - }, - "source": [ - "Your text here" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "x_2, y_2 = datasets.make_regression(n_samples=1000, n_features=5, noise=5, random_state=4)\n", - "\n", - "\n", - "# Split the data\n", - "x_train_2, x_test_2, y_train_2, y_test_2 = train_test_split(x_2, y_2, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Instead of using SGD optimizer we can use Adam optimizer to get better results." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "model_2=tf.keras.models.Sequential([\n", - " tf.keras.layers.InputLayer(input_shape=5) ,\n", - " tf.keras.layers.Dense(30,activation='relu'),\n", - " tf.keras.layers.Dense(30,activation='relu'),\n", - " tf.keras.layers.Dense(1)\n", - "\n", - " ])\n", - "\n", - "optimi=tf.keras.optimizers.Adam( learning_rate=0.01)\n", - "\n", - "\n", - "model_2.compile(loss='mean_squared_error',optimizer=optimi,metrics=tf.keras.metrics.Accuracy())\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense (Dense) (None, 30) 180 \n", - " \n", - " dense_1 (Dense) (None, 30) 930 \n", - " \n", - " dense_2 (Dense) (None, 1) 31 \n", - " \n", - "=================================================================\n", - "Total params: 1,141\n", - "Trainable params: 1,141\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "model_2.summary()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "aS0ROZa402Lo", - "outputId": "c852055e-ec4f-4272-ad30-e068b76c623f" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/20\n", - "20/20 [==============================] - 1s 17ms/step - loss: 22293.0352 - accuracy: 0.0000e+00 - val_loss: 22968.2930 - val_accuracy: 0.0000e+00\n", - "Epoch 2/20\n", - "20/20 [==============================] - 0s 5ms/step - loss: 16845.7617 - accuracy: 0.0000e+00 - val_loss: 11418.9531 - val_accuracy: 0.0000e+00\n", - "Epoch 3/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 4155.4365 - accuracy: 0.0000e+00 - val_loss: 745.3987 - val_accuracy: 0.0000e+00\n", - "Epoch 4/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 621.0253 - accuracy: 0.0000e+00 - val_loss: 412.5599 - val_accuracy: 0.0000e+00\n", - "Epoch 5/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 308.1701 - accuracy: 0.0000e+00 - val_loss: 312.2416 - val_accuracy: 0.0000e+00\n", - "Epoch 6/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 240.7342 - accuracy: 0.0000e+00 - val_loss: 267.2795 - val_accuracy: 0.0000e+00\n", - "Epoch 7/20\n", - "20/20 [==============================] - 0s 5ms/step - loss: 207.0453 - accuracy: 0.0000e+00 - val_loss: 246.7999 - val_accuracy: 0.0000e+00\n", - "Epoch 8/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 185.6382 - accuracy: 0.0000e+00 - val_loss: 233.2929 - val_accuracy: 0.0000e+00\n", - "Epoch 9/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 172.4978 - accuracy: 0.0000e+00 - val_loss: 238.8235 - val_accuracy: 0.0000e+00\n", - "Epoch 10/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 154.8446 - accuracy: 0.0000e+00 - val_loss: 173.0536 - val_accuracy: 0.0000e+00\n", - "Epoch 11/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 129.1207 - accuracy: 0.0000e+00 - val_loss: 134.6592 - val_accuracy: 0.0000e+00\n", - "Epoch 12/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 121.6438 - accuracy: 0.0000e+00 - val_loss: 122.1448 - val_accuracy: 0.0000e+00\n", - "Epoch 13/20\n", - "20/20 [==============================] - 0s 5ms/step - loss: 100.9714 - accuracy: 0.0000e+00 - val_loss: 108.3006 - val_accuracy: 0.0000e+00\n", - "Epoch 14/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 88.0066 - accuracy: 0.0000e+00 - val_loss: 93.5628 - val_accuracy: 0.0000e+00\n", - "Epoch 15/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 74.2823 - accuracy: 0.0000e+00 - val_loss: 83.5923 - val_accuracy: 0.0000e+00\n", - "Epoch 16/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 67.1191 - accuracy: 0.0000e+00 - val_loss: 84.6325 - val_accuracy: 0.0000e+00\n", - "Epoch 17/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 59.6604 - accuracy: 0.0000e+00 - val_loss: 64.3586 - val_accuracy: 0.0000e+00\n", - "Epoch 18/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 50.1667 - accuracy: 0.0000e+00 - val_loss: 57.6406 - val_accuracy: 0.0000e+00\n", - "Epoch 19/20\n", - "20/20 [==============================] - 0s 8ms/step - loss: 45.9919 - accuracy: 0.0000e+00 - val_loss: 50.3901 - val_accuracy: 0.0000e+00\n", - "Epoch 20/20\n", - "20/20 [==============================] - 0s 4ms/step - loss: 43.3895 - accuracy: 0.0000e+00 - val_loss: 46.8216 - val_accuracy: 0.0000e+00\n" - ] - } - ], - "source": [ - "results_2=model_2.fit(x_train_2,y_train_2,epochs=20,validation_split=0.2)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 206 - 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" - ], - "text/plain": [ - " loss accuracy val_loss val_accuracy epoch\n", - "15 67.119057 0.0 84.632462 0.0 15\n", - "16 59.660431 0.0 64.358604 0.0 16\n", - "17 50.166718 0.0 57.640575 0.0 17\n", - "18 45.991909 0.0 50.390099 0.0 18\n", - "19 43.389484 0.0 46.821648 0.0 19" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pandas as pd\n", - "res_2=pd.DataFrame(results_2.history)\n", - "res_2['epoch']=results_2.epoch\n", - "res_2.tail()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "id": "6xWw8yxhxxmt", - "outputId": "4acfcf6e-3e59-48e7-fabe-3bac990417b3" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.plot(res_2['epoch'],res_2['loss'])\n", - "plt.plot(res_2['epoch'],res_2['val_loss'])\n", - "plt.legend([\"Val_Loss\",\"Loss\"])\n", - "# plt.xlim(0,80)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "id": "FeWhnbAV0PUX" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "r2_score is 0.9978912555372441\n" - ] - } - ], - "source": [ - "# R2 score calculation\n", - "\n", - "from sklearn.metrics import r2_score\n", - "predic=model_2.predict(x_test_2)\n", - "r2_sco=r2_score(y_test_2,predic)\n", - "print(\"r2_score is \",r2_sco)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "r2_score coming close to 1 signify that our model is performing very well on the test data set ." - ] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "Copy of CVusingTF_Assgn2.ipynb", - "provenance": [] - }, - "interpreter": { - "hash": "d32dd9972e4becc079854756227bbaf57600491c52d25499cfd0dde1c0f41dcc" - }, - "kernelspec": { - "display_name": "Python 3.9.6 64-bit", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.6" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/Assignment 2/A2_200064.ipynb b/Assignment 2/A2_200064.ipynb deleted file mode 100644 index a10f552..0000000 --- a/Assignment 2/A2_200064.ipynb +++ /dev/null @@ -1,953 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CVusingTF_Assgn2.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "\n", - "import matplotlib.pyplot as plt\n", - "for i in range(5):\n", - " plt.scatter(X[:,i],y)\n", - " plt.show()" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "a78cbdce-275c-4dd6-b064-7dadfeeb2669" - }, - "execution_count": 15, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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SImiEr9TCri2jePWfxN+ovuqSlUt6y7u2jOLB8W0YHR66qHqmOzfeb0lnFctSJqnLSF5Xq5lJOt5W+4h0mzkXX+aZtRfevb1XqiWurNL1PDq+j+RVRZL/1POX2sja2y6id969tm9nEKtD79sVVST5Tz1/qY2sve0ieufLBbEHx7cp2CdQRZL/FPylNjpLIVszsxggl/QmuwNxEYvGK4j1RxVJ/lPwD1CdpwZotzNtPjlvblxBrD+un4lIb8r5ByYph12nSowq88kqq+xPXSqSQqaef2CasMh3Usql1/z//SgidRQq3yuSQqfgH5i8OWwfUkZJqRhG7Su6PQpi0kRK+9Rc1oE0ecoffUkZ7dm+6aL5/YHFkbwqJRRJR8G/xvoJxnly2L7Ubu/aMho77z2gKpwiaYRusyn411g/wTjPgzifyh5HHU6vEAJf7vKkPMr511i/wbjfHLZPZY8qJSxXEwoDZHnq+ddYP/n7PLfyPpU9qpSwXD7d5Uk51POvsay937yTbflW9pjlDqZXlZIPVUw+8ekuT8qh4F9jWYLx5HQLtx54BAu29FFp1lv5OpY99rro9XNRbPrFQmm15lPwr7k0wbgd3LoDf1vTb+V75a+z5rdDmK7Yt7s8KZ6CfwB6LX7e9Fv5XvnrIhd9b1JwrONdnqSn4B+A5Xr2IdzK98pfL7c/Lr2T5WLR9PSQ1JeqfQKQ1LMfIIOokOlVpZS0/51XjsTWug+vHox9ne7zrFp58ZmCfwDigtvgCuJPh1bilruPN370Zq+y0KT9Dzx5Nja9Y4ZUJa++jIgWiaO0TwC6H969dmgQL740j+ejNXGb+MCyW6/8ddz+W+4+HnvsC7Nz+Pe/+6ue6RzVyovPFPw9U1aOuDO4bZ04ipnZpYuhN/GBZV7LPQtI8zBUtfLiM6V9PFJVjlg90nTyjmj2aUS0SDf1/D1SVQlhE3ukZdwx5a11V628+EzB3yNV9cibNnqzzEFXeWvdVSsvvlLaxyN5FlrJommToqmqRiQ79fw9UmWPvEk9Uj3DEMlOPX+PNK1HXpWq7phEmkQ9f880qUdelaY9wxCpgoK/1J6qakSyyxX8SX4YwOcB/CWAq81sqmPfbQBuBLAA4J/N7HC0fQeALwMYAPB1M5vI0wYRoLg7Jk3EJqHI2/N/DMB1AP67cyPJzQCuB3AVgMsB3EfyDdHu2wH8LYAzAB4medDMHs/ZDpHcQpinX6Qt1wNfM3vCzOLq6XYC2G9m583saQCnAFwdfZwys6fM7CUA+6NjRZxTyaiEpKxqn1EAz3R8fSbalrT9IiR3k5wiOXX27NmSminyCpWMSkh6Bn+S95F8LOaj1B67me0zszEzGxsZGSnzpUQAqGRUwtIz529m7+rj57YArOv4em20DctsF3FKJaMSkrLSPgcBXE/yEpIbAGwE8FMADwPYSHIDyVVYfCh8sKQ2iGSiQXYSkrylnh8A8B8ARgAcInnczLab2QmSBwA8DmAewE1mthB9z80ADmOx1PMOMzuR6x1IYVTmqEF2Eg6ames29DQ2NmZTU1O9D5S+dZc5AospD/V8ReqL5DEzG4vbp7l9BIDKHEVCo+AvAFTmKBIaBX8BoDJHkdAo+AsArTcrEhrN6hmYpIoezYwpEhYF/4D0mrhMZY4i4VDaJyCq6BGRNvX8A1JURc/kdAtf+P4JPH9u7sK2NasH8bn3XVX7OwcNdJNQKPgH5PLhIbRiAn2Wip7J6Rb2fOcRzC0sHRz4/Lk57PnOIwDqO/e95vOXkCjtE5AiKnr2Hj55UeBvm1uwWqeQlBaTkKjnH5AiKnp6pYjqPChMA90kJAr+gclb0ZOUOurcX1dJ720FiQ3jh/QMQBol+LTP5HQLWyeOYsP4IWydOIrJaS0vsJw92zdhcICx+wYHuGwKyfdzHZcWA4AFMxheeQbgW7tF+hF08G8/4GvNzOqPO6VdW0ax90NvwZrVg0u2r1k9iL0fektir7gO57p7Pv8BXnyR0zMAaYqgp3TeOnE09jZ/dHgID45vK/z1QlbHc71h/BDi/joI4OmJ91TdHJHMNKVzAj3gq04dz7Umu5MmCzr464+7OnU815rsTpos6OCvP+5qTE638OL5+Yu2+36utaavNFnQpZ6aybJ8cctDAvWZDkKT3UlTBR38Af1xly1u1CwArF61UuddxKGg0z5Svjo+6BUJgYK/lKqOD3pFQqDgL6XSQ3URPwWf85dy6aG6iJ8U/KV0eqgu4h+lfUREAqTgLyISIAV/EZEAKfiLiARIwV9EJEAK/iIiAcoV/EnuJfkkyUdJfpfkcMe+20ieInmS5PaO7TuibadIjud5ffGf70s3ioQqb8//CIA3mtmbAfwCwG0AQHIzgOsBXAVgB4D/JDlAcgDA7QCuBbAZwA3RsaVQ4HGrDks3ioQqV/A3sx+ZWXui9ocArI0+3wlgv5mdN7OnAZwCcHX0ccrMnjKzlwDsj44tnAKPe3EzemoNXBE/FJnz/ySAH0afjwJ4pmPfmWhb0vaLkNxNcork1NmzZzM3RoHHPc3oKeKvnsGf5H0kH4v52NlxzGcBzAO4q6iGmdk+Mxszs7GRkZHM36/A455m9BTxV8+5fczsXcvtJ/lxAO8FcI2ZWbS5BWBdx2Fro21YZnuhLh8eQism0CvwVGfP9k0XreKlGT1F/JC32mcHgM8AeL+ZnevYdRDA9SQvIbkBwEYAPwXwMICNJDeQXIXFh8IH87QhiaYSdk9r4Ir4K++snl8FcAmAIyQB4CEz+yczO0HyAIDHsZgOusnMFgCA5M0ADgMYAHCHmZ3I2YZYmkrYD5rRU8RPfCVT46+xsTGbmppy3QwRkVoheczMxuL2aYSviEiAFPxFRAKk4C8iEiAFfxGRACn4i4gESMFfRCRACv4iIgFS8BcRCZCCv4hIgBT8RUQCpOAvIhIgBX8RkQDlndVTJJfJ6ZZmXhVxQMFfnGmvs9xe7KW9zjIAXQBESqa0jzijdZZF3FHwF2e0zrKIO0r79KCcdHm0zrKIO+r5L6Odk27NzMLwSk56crqUNeeDo3WWRdxR8F+GctLl0gLvIu4o7bMM5aTLpwXeRdxQz38ZSbln5aRFpO4U/JehnLSINJXSPstopyNU7SMiTaPg34Ny0iLSREr7iIgESMFfRCRACv4iIgFS8BcRCZCCv4hIgGhmrtvQE8mzAE67bkeXSwH81nUjKqT323yhvecQ3u+fm9lI3I5aBH8fkZwyszHX7aiK3m/zhfaeQ3u/3ZT2EREJkIK/iEiAFPz7t891Ayqm99t8ob3n0N7vEsr5i4gESD1/EZEAKfiLiARIwT8HkntJPknyUZLfJTnsuk1lIvlhkidIvkyysSVyJHeQPEnyFMlx1+0pE8k7SD5H8jHXbakCyXUkHyD5ePS7/CnXbXJFwT+fIwDeaGZvBvALALc5bk/ZHgNwHYAfu25IWUgOALgdwLUANgO4geRmt60q1TcB7HDdiArNA7jVzDYDeAeAmxr+/5tIwT8HM/uRmc1HXz4EYK3L9pTNzJ4ws6avXn81gFNm9pSZvQRgP4CdjttUGjP7MYDfuW5HVczsWTP7WfT5HwA8ASDIBTsU/IvzSQA/dN0IyW0UwDMdX59BoMGh6UiuB7AFwE/ctsQNreTVA8n7APxZzK7Pmtn3omM+i8XbybuqbFsZ0rxfkboj+WoA9wD4tJn93nV7XFDw78HM3rXcfpIfB/BeANdYAwZN9Hq/AWgBWNfx9dpomzQEyUEsBv67zOxe1+1xRWmfHEjuAPAZAO83s3Ou2yOFeBjARpIbSK4CcD2Ag47bJAUhSQDfAPCEmX3JdXtcUvDP56sAXgPgCMnjJP/LdYPKRPIDJM8A+GsAh0gedt2mokUP8G8GcBiLDwMPmNkJt60qD8lvA/hfAJtIniF5o+s2lWwrgI8C2Bb9zR4n+W7XjXJB0zuIiARIPX8RkQAp+IuIBEjBX0QkQAr+IiIBUvAXEQmQgr+ISIAU/EVEAvT/umH5uL2DymcAAAAASUVORK5CYII=\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "model = keras.Sequential([keras.Input(5),keras.layers.Dense(5, activation='relu'),keras.layers.Dense(5, activation='relu'),keras.layers.Dense(1)])\n", - "opt = tf.keras.optimizers.SGD(learning_rate=0.06)\n", - "model.compile(loss=tf.keras.losses.MeanSquaredError())\n", - "history=model.fit(X_train,y_train,validation_split=0.33,epochs=230,batch_size=2)" - ], - "metadata": { - "id": "r32N1xK2ziOs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "1861617f-4928-49d8-a5a4-2e4123ab3427" - }, - "execution_count": 19, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/230\n", - "27/27 [==============================] - 1s 7ms/step - loss: 12103.8115 - val_loss: 10247.0479\n", - "Epoch 2/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 12097.8535 - val_loss: 10242.8896\n", - "Epoch 3/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 12091.8906 - val_loss: 10238.7041\n", - "Epoch 4/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 12085.9824 - val_loss: 10232.4619\n", - "Epoch 5/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 12079.9131 - val_loss: 10226.9131\n", - "Epoch 6/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 12073.4297 - val_loss: 10220.8203\n", - "Epoch 7/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 12065.7920 - val_loss: 10213.4541\n", - "Epoch 8/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 12057.8564 - val_loss: 10206.8877\n", - "Epoch 9/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 12049.6875 - val_loss: 10199.1025\n", - "Epoch 10/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 12041.5859 - val_loss: 10191.0625\n", - "Epoch 11/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 12032.2969 - val_loss: 10182.3613\n", - "Epoch 12/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 12022.4990 - val_loss: 10170.7959\n", - "Epoch 13/230\n", - "27/27 [==============================] - 0s 4ms/step - loss: 12011.5059 - val_loss: 10159.1104\n", - "Epoch 14/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11999.0703 - val_loss: 10148.8887\n", - "Epoch 15/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11986.7207 - val_loss: 10136.7832\n", - "Epoch 16/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11972.5098 - val_loss: 10124.4365\n", - "Epoch 17/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11958.9512 - val_loss: 10111.6875\n", - "Epoch 18/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11944.2920 - val_loss: 10096.2871\n", - "Epoch 19/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11926.1377 - val_loss: 10078.1426\n", - "Epoch 20/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11907.7822 - val_loss: 10062.5576\n", - "Epoch 21/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11890.2500 - val_loss: 10045.1289\n", - "Epoch 22/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11869.6943 - val_loss: 10027.2549\n", - "Epoch 23/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11848.6797 - val_loss: 10008.5547\n", - "Epoch 24/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11826.1523 - val_loss: 9984.8955\n", - "Epoch 25/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11801.5615 - val_loss: 9959.5625\n", - "Epoch 26/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11776.1191 - val_loss: 9932.5312\n", - "Epoch 27/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11750.2500 - val_loss: 9909.8994\n", - "Epoch 28/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11724.4980 - val_loss: 9884.1885\n", - "Epoch 29/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11696.5947 - val_loss: 9855.7959\n", - "Epoch 30/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11666.3535 - val_loss: 9823.0244\n", - "Epoch 31/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11633.8408 - val_loss: 9791.6172\n", - "Epoch 32/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11598.4385 - val_loss: 9751.3975\n", - "Epoch 33/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11560.4717 - val_loss: 9710.9121\n", - "Epoch 34/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11522.8535 - val_loss: 9667.3672\n", - "Epoch 35/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11483.9209 - val_loss: 9624.2939\n", - "Epoch 36/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11441.3760 - val_loss: 9579.2900\n", - "Epoch 37/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11399.3076 - val_loss: 9536.9912\n", - "Epoch 38/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11353.9707 - val_loss: 9487.5205\n", - "Epoch 39/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11305.3447 - val_loss: 9440.2031\n", - "Epoch 40/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11254.4922 - val_loss: 9388.3291\n", - "Epoch 41/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11204.7783 - val_loss: 9337.3271\n", - "Epoch 42/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11153.3877 - val_loss: 9286.1865\n", - "Epoch 43/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11096.4307 - val_loss: 9225.2256\n", - "Epoch 44/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 11037.5020 - val_loss: 9165.0273\n", - "Epoch 45/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 10974.1270 - val_loss: 9100.3037\n", - "Epoch 46/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 10907.4863 - val_loss: 9035.9707\n", - "Epoch 47/230\n", - "27/27 [==============================] - 0s 4ms/step - loss: 10842.7881 - val_loss: 8970.3340\n", - "Epoch 48/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 10779.9277 - val_loss: 8911.4756\n", - "Epoch 49/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 10709.1582 - val_loss: 8844.0977\n", - "Epoch 50/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 10640.1543 - val_loss: 8779.2520\n", - "Epoch 51/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 10569.2578 - val_loss: 8714.2061\n", - "Epoch 52/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 10489.6025 - val_loss: 8631.1279\n", - "Epoch 53/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 10415.3633 - val_loss: 8558.1143\n", - "Epoch 54/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 10332.7100 - val_loss: 8468.8799\n", - "Epoch 55/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 10254.8125 - val_loss: 8401.1934\n", - "Epoch 56/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 10175.6240 - val_loss: 8316.4170\n", - "Epoch 57/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 10084.0391 - val_loss: 8228.1357\n", - "Epoch 58/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 9992.3311 - val_loss: 8129.7876\n", - "Epoch 59/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 9905.4053 - val_loss: 8049.1753\n", - "Epoch 60/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 9812.2803 - val_loss: 7945.5034\n", - "Epoch 61/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 9714.7422 - val_loss: 7843.7041\n", - "Epoch 62/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 9616.9336 - val_loss: 7750.0752\n", - "Epoch 63/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 9521.8418 - val_loss: 7647.5156\n", - "Epoch 64/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 9422.1240 - val_loss: 7540.8838\n", - "Epoch 65/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 9322.2021 - val_loss: 7429.0513\n", - "Epoch 66/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 9212.8252 - val_loss: 7319.2876\n", - "Epoch 67/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 9112.4902 - val_loss: 7203.9868\n", - "Epoch 68/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 9000.6992 - val_loss: 7069.3931\n", - "Epoch 69/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 8893.8633 - val_loss: 6964.7910\n", - "Epoch 70/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 8788.3311 - val_loss: 6845.3848\n", - "Epoch 71/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 8677.3789 - val_loss: 6724.9717\n", - "Epoch 72/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 8568.1738 - val_loss: 6613.6626\n", - "Epoch 73/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 8456.5391 - val_loss: 6484.6528\n", - "Epoch 74/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 8348.6631 - val_loss: 6375.3760\n", - "Epoch 75/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 8233.2715 - val_loss: 6239.6729\n", - "Epoch 76/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 8117.5020 - val_loss: 6105.7505\n", - "Epoch 77/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 7995.1782 - val_loss: 5965.9219\n", - "Epoch 78/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 7871.2524 - val_loss: 5835.1777\n", - "Epoch 79/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 7749.0845 - val_loss: 5695.1338\n", - "Epoch 80/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 7627.6133 - val_loss: 5567.3472\n", - "Epoch 81/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 7509.9033 - val_loss: 5434.1528\n", - "Epoch 82/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 7392.1392 - val_loss: 5306.0415\n", - "Epoch 83/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 7272.6484 - val_loss: 5182.9590\n", - "Epoch 84/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 7153.9922 - val_loss: 5039.8638\n", - "Epoch 85/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 7030.5449 - val_loss: 4925.7793\n", - "Epoch 86/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 6920.6982 - val_loss: 4795.2935\n", - "Epoch 87/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 6797.4966 - val_loss: 4652.2476\n", - "Epoch 88/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 6676.5020 - val_loss: 4528.8423\n", - "Epoch 89/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 6557.6738 - val_loss: 4403.6050\n", - "Epoch 90/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 6439.2964 - val_loss: 4274.5117\n", - "Epoch 91/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 6319.6982 - val_loss: 4147.8398\n", - "Epoch 92/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 6201.4868 - val_loss: 4014.9348\n", - "Epoch 93/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 6078.1499 - val_loss: 3884.9456\n", - "Epoch 94/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 5953.7559 - val_loss: 3743.2332\n", - "Epoch 95/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 5832.7695 - val_loss: 3625.2051\n", - "Epoch 96/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 5712.9097 - val_loss: 3500.3970\n", - "Epoch 97/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 5593.7607 - val_loss: 3367.4067\n", - "Epoch 98/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 5473.3599 - val_loss: 3249.7891\n", - "Epoch 99/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 5360.8032 - val_loss: 3130.7329\n", - "Epoch 100/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 5255.9961 - val_loss: 3021.1904\n", - "Epoch 101/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 5141.2266 - val_loss: 2905.5413\n", - "Epoch 102/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 5030.2178 - val_loss: 2805.1426\n", - "Epoch 103/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 4931.2417 - val_loss: 2702.3801\n", - "Epoch 104/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 4816.6172 - val_loss: 2584.0815\n", - "Epoch 105/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 4705.7778 - val_loss: 2466.2097\n", - "Epoch 106/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 4597.6187 - val_loss: 2386.0603\n", - "Epoch 107/230\n", - "27/27 [==============================] - 0s 5ms/step - loss: 4494.7734 - val_loss: 2284.9753\n", - "Epoch 108/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 4392.0679 - val_loss: 2175.9844\n", - "Epoch 109/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 4287.3970 - val_loss: 2085.4385\n", - "Epoch 110/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 4181.3682 - val_loss: 1978.1014\n", - "Epoch 111/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 4065.7773 - val_loss: 1888.7139\n", - "Epoch 112/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 3966.3765 - val_loss: 1817.0557\n", - "Epoch 113/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 3868.9700 - val_loss: 1733.0188\n", - "Epoch 114/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 3767.9058 - val_loss: 1657.8013\n", - "Epoch 115/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 3667.7090 - val_loss: 1577.6398\n", - "Epoch 116/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 3576.7300 - val_loss: 1492.2061\n", - "Epoch 117/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 3483.4834 - val_loss: 1422.7661\n", - "Epoch 118/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 3371.6440 - val_loss: 1345.2626\n", - "Epoch 119/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 3276.7490 - val_loss: 1269.0166\n", - "Epoch 120/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 3186.4307 - val_loss: 1195.5717\n", - "Epoch 121/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 3103.7952 - val_loss: 1136.5585\n", - "Epoch 122/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 3019.9116 - val_loss: 1080.0763\n", - "Epoch 123/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 2936.9600 - val_loss: 1024.5452\n", - "Epoch 124/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 2848.6543 - val_loss: 967.8972\n", - "Epoch 125/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 2759.4729 - val_loss: 908.9399\n", - "Epoch 126/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 2682.3201 - val_loss: 855.4163\n", - "Epoch 127/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 2602.8093 - val_loss: 806.7042\n", - "Epoch 128/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 2522.2300 - val_loss: 758.4872\n", - "Epoch 129/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 2446.2961 - val_loss: 715.9938\n", - "Epoch 130/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 2377.7810 - val_loss: 678.4742\n", - "Epoch 131/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 2306.4805 - val_loss: 634.7168\n", - "Epoch 132/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 2232.3655 - val_loss: 595.1262\n", - "Epoch 133/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 2162.7793 - val_loss: 561.4512\n", - "Epoch 134/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 2087.2634 - val_loss: 525.2331\n", - "Epoch 135/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 2027.5275 - val_loss: 495.4591\n", - "Epoch 136/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1965.9813 - val_loss: 468.4331\n", - "Epoch 137/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1903.6448 - val_loss: 442.2308\n", - "Epoch 138/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1840.4558 - val_loss: 419.4660\n", - "Epoch 139/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1780.3182 - val_loss: 395.3222\n", - "Epoch 140/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1726.3489 - val_loss: 373.6279\n", - "Epoch 141/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1667.2789 - val_loss: 353.0072\n", - "Epoch 142/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1608.7032 - val_loss: 335.4416\n", - "Epoch 143/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1553.3606 - val_loss: 317.1785\n", - "Epoch 144/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1502.1145 - val_loss: 301.1630\n", - "Epoch 145/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1452.7948 - val_loss: 287.4691\n", - "Epoch 146/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1399.9838 - val_loss: 274.4448\n", - "Epoch 147/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1350.2396 - val_loss: 262.4208\n", - "Epoch 148/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1302.4214 - val_loss: 251.3363\n", - "Epoch 149/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1255.2947 - val_loss: 240.0806\n", - "Epoch 150/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1208.4150 - val_loss: 232.4185\n", - "Epoch 151/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1164.2562 - val_loss: 225.5964\n", - "Epoch 152/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1121.3905 - val_loss: 218.5930\n", - "Epoch 153/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1084.7579 - val_loss: 212.4528\n", - "Epoch 154/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1044.8298 - val_loss: 208.1859\n", - "Epoch 155/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 1010.6803 - val_loss: 203.8069\n", - "Epoch 156/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 977.3309 - val_loss: 198.4168\n", - "Epoch 157/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 940.1173 - val_loss: 194.7413\n", - "Epoch 158/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 904.9243 - val_loss: 193.1038\n", - "Epoch 159/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 874.6812 - val_loss: 190.5175\n", - "Epoch 160/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 848.2643 - val_loss: 190.3199\n", - "Epoch 161/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 821.2538 - val_loss: 187.8828\n", - "Epoch 162/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 794.3558 - val_loss: 186.2382\n", - "Epoch 163/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 767.7045 - val_loss: 187.4863\n", - "Epoch 164/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 740.7269 - val_loss: 187.2383\n", - "Epoch 165/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 714.8248 - val_loss: 188.9285\n", - "Epoch 166/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 691.7661 - val_loss: 189.5347\n", - "Epoch 167/230\n", - "27/27 [==============================] - 0s 4ms/step - loss: 666.0239 - val_loss: 189.1279\n", - "Epoch 168/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 643.5890 - val_loss: 190.6196\n", - "Epoch 169/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 623.2014 - val_loss: 193.6658\n", - "Epoch 170/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 602.5149 - val_loss: 192.7368\n", - "Epoch 171/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 584.4434 - val_loss: 192.1510\n", - "Epoch 172/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 566.3003 - val_loss: 194.2075\n", - "Epoch 173/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 548.4911 - val_loss: 196.4097\n", - "Epoch 174/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 529.6823 - val_loss: 197.6588\n", - "Epoch 175/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 511.5667 - val_loss: 199.9702\n", - "Epoch 176/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 495.8926 - val_loss: 199.7701\n", - "Epoch 177/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 479.0361 - val_loss: 203.8461\n", - "Epoch 178/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 464.5481 - val_loss: 206.1897\n", - "Epoch 179/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 452.3015 - val_loss: 207.7291\n", - "Epoch 180/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 438.9663 - val_loss: 212.0649\n", - "Epoch 181/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 424.1348 - val_loss: 214.5356\n", - "Epoch 182/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 411.8778 - val_loss: 216.3279\n", - "Epoch 183/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 399.4817 - val_loss: 216.3186\n", - "Epoch 184/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 388.3781 - val_loss: 218.0007\n", - "Epoch 185/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 376.0885 - val_loss: 217.8670\n", - "Epoch 186/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 364.4879 - val_loss: 220.0281\n", - "Epoch 187/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 352.7753 - val_loss: 224.3534\n", - "Epoch 188/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 344.5522 - val_loss: 224.2535\n", - "Epoch 189/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 333.8235 - val_loss: 224.6835\n", - "Epoch 190/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 323.7860 - val_loss: 227.3225\n", - "Epoch 191/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 314.8434 - val_loss: 224.6176\n", - "Epoch 192/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 306.3253 - val_loss: 228.2700\n", - "Epoch 193/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 297.3029 - val_loss: 233.6447\n", - "Epoch 194/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 289.8553 - val_loss: 230.6904\n", - "Epoch 195/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 282.6923 - val_loss: 232.1273\n", - "Epoch 196/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 275.2116 - val_loss: 231.4316\n", - "Epoch 197/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 269.4836 - val_loss: 231.0308\n", - "Epoch 198/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 261.0052 - val_loss: 226.4398\n", - "Epoch 199/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 254.0861 - val_loss: 225.9057\n", - "Epoch 200/230\n", - "27/27 [==============================] - 0s 4ms/step - loss: 248.2079 - val_loss: 226.9341\n", - "Epoch 201/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 240.9648 - val_loss: 229.3855\n", - "Epoch 202/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 237.2469 - val_loss: 225.1341\n", - "Epoch 203/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 231.4045 - val_loss: 225.1857\n", - "Epoch 204/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 225.7138 - val_loss: 222.8763\n", - "Epoch 205/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 220.3503 - val_loss: 221.2651\n", - "Epoch 206/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 215.7320 - val_loss: 220.2312\n", - "Epoch 207/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 210.6108 - val_loss: 223.8336\n", - "Epoch 208/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 206.3768 - val_loss: 221.6653\n", - "Epoch 209/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 203.6414 - val_loss: 219.9349\n", - "Epoch 210/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 197.6982 - val_loss: 227.7490\n", - "Epoch 211/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 195.5823 - val_loss: 226.9884\n", - "Epoch 212/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 191.4630 - val_loss: 223.3450\n", - "Epoch 213/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 188.2119 - val_loss: 223.8042\n", - "Epoch 214/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 185.2220 - val_loss: 223.6329\n", - "Epoch 215/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 180.9632 - val_loss: 221.7261\n", - "Epoch 216/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 178.5197 - val_loss: 221.3366\n", - "Epoch 217/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 176.3694 - val_loss: 226.5233\n", - "Epoch 218/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 173.1855 - val_loss: 222.3168\n", - "Epoch 219/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 170.0605 - val_loss: 221.8981\n", - "Epoch 220/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 168.7097 - val_loss: 222.1761\n", - "Epoch 221/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 166.9946 - val_loss: 220.2658\n", - "Epoch 222/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 166.0260 - val_loss: 217.8652\n", - "Epoch 223/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 163.1823 - val_loss: 222.5577\n", - "Epoch 224/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 162.6364 - val_loss: 222.4031\n", - "Epoch 225/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 161.1220 - val_loss: 223.4985\n", - "Epoch 226/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 159.3622 - val_loss: 221.5541\n", - "Epoch 227/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 157.5099 - val_loss: 219.1863\n", - "Epoch 228/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 156.6078 - val_loss: 224.4047\n", - "Epoch 229/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 154.9963 - val_loss: 226.5534\n", - "Epoch 230/230\n", - "27/27 [==============================] - 0s 3ms/step - loss: 153.4673 - val_loss: 227.1058\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "\n", - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['loss'])\n", - "plt.plot(history.history['val_loss'])\n", - "plt.ylabel('loss')\n", - "plt.xlabel('epoch')\n", - "plt.legend(['test','train'])\n", - "plt.show()" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 279 - }, - "outputId": "428fca06-a17f-4d27-842a-dbb55de86b0a" - }, - "execution_count": 20, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "from sklearn.metrics import r2_score\n", - "predictions=model.predict(X_test)\n", - "print(predictions)\n", - "accu = r2_score(y_test,predictions)\n", - "print(\"Accuracy:\", accu)\n", - "print(y_test)" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "7e370409-f8c1-4c2a-d712-487391e2f92d" - }, - "execution_count": 21, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[[ 162.55573 ]\n", - " [-136.7924 ]\n", - " [ 63.621853]\n", - " [-133.9853 ]\n", - " [ -5.162861]\n", - " [ -82.54508 ]\n", - " [ 55.08005 ]\n", - " [ 26.509747]\n", - " [-145.45982 ]\n", - " [ 143.55104 ]\n", - " [ 88.4598 ]\n", - " [ 144.31512 ]\n", - " [ 39.32738 ]\n", - " [ 118.73373 ]\n", - " [ 74.694374]\n", - " [ 95.09522 ]\n", - " [ 187.8099 ]\n", - " [ 81.306854]\n", - " [ 119.22342 ]\n", - " [ -68.46275 ]]\n", - "Accuracy: 0.9580973911703754\n", - "[ 215.47124758 -131.1390209 79.87403933 -140.76311462 -7.91882959\n", - " -59.29081497 34.92501227 24.22069865 -139.33799971 153.57904985\n", - " 68.95790292 130.17425384 29.65951354 80.53740813 57.63151087\n", - " 80.93091525 198.17702362 59.77779093 86.26391892 -66.93162171]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate dateset" - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "execution_count": 25, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Creating model\n", - "\n", - "1. Model has 6 hidden layers of dense 50 each\n", - "2. Adam optimizer is used and mse is used as a loss function\n", - "\n" - ], - "metadata": { - "id": "wZ9p7a_mzHrg" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "model = keras.Sequential([keras.Input(5),\n", - " keras.layers.Dense(50, activation='relu'),keras.layers.Dense(50, activation='relu'),\n", - " keras.layers.Dense(50, activation='relu'),keras.layers.Dense(50, activation='relu'),\n", - " keras.layers.Dense(50, activation='relu'),keras.layers.Dense(50, activation='relu'),\n", - " keras.layers.Dense(1)])\n", - "opt = keras.optimizers.Adam(learning_rate=0.05)\n", - "model.compile(loss='mse')\n", - "history=model.fit(X_train,y_train,validation_split=0.1,epochs=5,batch_size=2)" - ], - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "23d92f0a-f38d-4dc2-b9eb-86ce31bf3dfc" - }, - "execution_count": 26, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/5\n", - "3600/3600 [==============================] - 7s 2ms/step - loss: 542.7628 - val_loss: 105.0305\n", - "Epoch 2/5\n", - "3600/3600 [==============================] - 6s 2ms/step - loss: 61.0482 - val_loss: 198.6302\n", - "Epoch 3/5\n", - "3600/3600 [==============================] - 6s 2ms/step - loss: 56.2035 - val_loss: 91.9054\n", - "Epoch 4/5\n", - "3600/3600 [==============================] - 6s 2ms/step - loss: 54.8107 - val_loss: 34.0061\n", - "Epoch 5/5\n", - "3600/3600 [==============================] - 6s 2ms/step - loss: 53.1269 - val_loss: 29.8570\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visulazing the data" - ], - "metadata": { - "id": "hiHTd1KqzqJ1" - } - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['val_loss'])\n", - "plt.plot(history.history['loss'])\n", - "plt.ylabel('loss')\n", - "plt.xlabel('epoch')\n", - "plt.legend(['test','train'])\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 279 - }, - "id": "ZQPp4bDivsoj", - "outputId": "03277a23-016f-4c61-d7ad-6f9d1d192b39" - }, - "execution_count": 27, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## r2_score" - ], - "metadata": { - "id": "3mQ_wSfKz2mN" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "from sklearn.metrics import r2_score\n", - "predictions=model.predict(X_test)\n", - "print(predictions)\n", - "accu = r2_score(y_test,predictions)\n", - "print(\"Accuracy:\", accu)\n", - "print(y_test)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "2orj6qHdwf91", - "outputId": "4db00207-96a2-40c9-e0cf-9874cebbc328" - }, - "execution_count": 28, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "WARNING:tensorflow:5 out of the last 67 calls to .predict_function at 0x7f0a565bf050> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n", - "[[-99.74131 ]\n", - " [ 62.160343]\n", - " [ 72.060646]\n", - " ...\n", - " [ 14.229921]\n", - " [-52.456608]\n", - " [-85.36296 ]]\n", - "Accuracy: 0.9978419666368175\n", - "[-91.72292135 52.55742745 72.44587524 ... 7.18010497 -59.23469434\n", - " -82.08750428]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "HjZZ1XZow4cc" - }, - "execution_count": null, - "outputs": [] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_200081.ipynb b/Assignment 2/A2_200081.ipynb deleted file mode 100644 index d505db1..0000000 --- a/Assignment 2/A2_200081.ipynb +++ /dev/null @@ -1,567 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A2_200081", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data \n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "for i in range(5):\n", - " plt.scatter(X_train[:,i], y_train)" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "dbe1756d-1a68-4172-f62a-80d910137fb6" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "\n", - "model = keras.Sequential([\n", - " keras.layers.Dense(5,input_dim=5,activation='relu'),\n", - " keras.layers.Dense(5,activation='relu'),\n", - " keras.layers.Dense(1)\n", - "])\n", - "\n", - "model.compile(loss='mean_squared_error',optimizer = tf.keras.optimizers.SGD(0.001))\n", - "\n", - "history =model.fit(X_train,y_train,epochs=50,validation_split = 0.2,verbose=2)\n", - "\n", - "predictions = model.predict(X_test)" - ], - "metadata": { - "id": "r32N1xK2ziOs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "4b5f7506-42bb-4a3d-9bb7-b54d6e0970e9" - }, - "execution_count": 7, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/50\n", - "200/200 - 1s - loss: 6624.9556 - val_loss: 6302.9902 - 615ms/epoch - 3ms/step\n", - "Epoch 2/50\n", - "200/200 - 0s - loss: 6150.9282 - val_loss: 5071.2856 - 301ms/epoch - 2ms/step\n", - "Epoch 3/50\n", - "200/200 - 0s - loss: 5259.7192 - val_loss: 3998.2407 - 296ms/epoch - 1ms/step\n", - "Epoch 4/50\n", - "200/200 - 0s - loss: 4089.7686 - val_loss: 3505.0034 - 283ms/epoch - 1ms/step\n", - "Epoch 5/50\n", - "200/200 - 0s - loss: 3198.9309 - val_loss: 2930.8735 - 303ms/epoch - 2ms/step\n", - "Epoch 6/50\n", - "200/200 - 0s - loss: 2770.8025 - val_loss: 2551.4763 - 282ms/epoch - 1ms/step\n", - "Epoch 7/50\n", - "200/200 - 0s - loss: 2443.4822 - val_loss: 2278.7266 - 296ms/epoch - 1ms/step\n", - "Epoch 8/50\n", - "200/200 - 0s - loss: 2267.1257 - val_loss: 2075.3818 - 431ms/epoch - 2ms/step\n", - "Epoch 9/50\n", - "200/200 - 0s - loss: 2032.6425 - val_loss: 1866.4230 - 465ms/epoch - 2ms/step\n", - "Epoch 10/50\n", - "200/200 - 0s - loss: 1970.3121 - val_loss: 1702.9056 - 475ms/epoch - 2ms/step\n", - "Epoch 11/50\n", - "200/200 - 0s - loss: 2103.9932 - val_loss: 1509.5067 - 465ms/epoch - 2ms/step\n", - "Epoch 12/50\n", - "200/200 - 0s - loss: 1627.5842 - val_loss: 1406.1255 - 355ms/epoch - 2ms/step\n", - "Epoch 13/50\n", - "200/200 - 0s - loss: 1672.2627 - val_loss: 1307.6528 - 292ms/epoch - 1ms/step\n", - "Epoch 14/50\n", - "200/200 - 0s - loss: 1497.8170 - val_loss: 1182.1742 - 295ms/epoch - 1ms/step\n", - "Epoch 15/50\n", - "200/200 - 0s - loss: 1361.5953 - val_loss: 1097.5685 - 274ms/epoch - 1ms/step\n", - "Epoch 16/50\n", - "200/200 - 0s - loss: 1937.1892 - val_loss: 4771.6401 - 282ms/epoch - 1ms/step\n", - "Epoch 17/50\n", - "200/200 - 0s - loss: 3241.4675 - val_loss: 1099.6195 - 296ms/epoch - 1ms/step\n", - "Epoch 18/50\n", - "200/200 - 0s - loss: 1305.5110 - val_loss: 961.3418 - 289ms/epoch - 1ms/step\n", - "Epoch 19/50\n", - "200/200 - 0s - loss: 1367.2939 - val_loss: 1484.2953 - 303ms/epoch - 2ms/step\n", - "Epoch 20/50\n", - "200/200 - 0s - loss: 1365.9694 - val_loss: 2877.0984 - 281ms/epoch - 1ms/step\n", - "Epoch 21/50\n", - "200/200 - 0s - loss: 3021.9338 - val_loss: 1991.6713 - 295ms/epoch - 1ms/step\n", - "Epoch 22/50\n", - "200/200 - 0s - loss: 1426.0988 - val_loss: 863.8932 - 275ms/epoch - 1ms/step\n", - "Epoch 23/50\n", - "200/200 - 0s - loss: 880.6984 - val_loss: 767.3716 - 300ms/epoch - 1ms/step\n", - "Epoch 24/50\n", - "200/200 - 0s - loss: 832.3401 - val_loss: 708.2992 - 274ms/epoch - 1ms/step\n", - "Epoch 25/50\n", - "200/200 - 0s - loss: 836.6761 - val_loss: 735.5645 - 278ms/epoch - 1ms/step\n", - "Epoch 26/50\n", - "200/200 - 0s - loss: 756.5592 - val_loss: 764.4813 - 327ms/epoch - 2ms/step\n", - "Epoch 27/50\n", - "200/200 - 0s - loss: 744.7905 - val_loss: 607.3428 - 284ms/epoch - 1ms/step\n", - "Epoch 28/50\n", - "200/200 - 0s - loss: 752.2756 - val_loss: 827.5264 - 285ms/epoch - 1ms/step\n", - "Epoch 29/50\n", - "200/200 - 0s - loss: 854.9404 - val_loss: 833.8709 - 291ms/epoch - 1ms/step\n", - "Epoch 30/50\n", - "200/200 - 0s - loss: 672.9164 - val_loss: 574.2633 - 297ms/epoch - 1ms/step\n", - "Epoch 31/50\n", - "200/200 - 0s - loss: 695.9122 - val_loss: 528.5919 - 268ms/epoch - 1ms/step\n", - "Epoch 32/50\n", - "200/200 - 0s - loss: 648.2709 - val_loss: 519.2999 - 296ms/epoch - 1ms/step\n", - "Epoch 33/50\n", - "200/200 - 0s - loss: 629.1520 - val_loss: 462.7429 - 299ms/epoch - 1ms/step\n", - "Epoch 34/50\n", - "200/200 - 0s - loss: 595.4087 - val_loss: 451.6245 - 284ms/epoch - 1ms/step\n", - "Epoch 35/50\n", - "200/200 - 0s - loss: 608.0100 - val_loss: 436.5547 - 290ms/epoch - 1ms/step\n", - "Epoch 36/50\n", - "200/200 - 0s - loss: 698.1252 - val_loss: 433.0771 - 293ms/epoch - 1ms/step\n", - "Epoch 37/50\n", - "200/200 - 0s - loss: 649.9730 - val_loss: 681.8696 - 286ms/epoch - 1ms/step\n", - "Epoch 38/50\n", - "200/200 - 0s - loss: 645.8918 - val_loss: 447.5237 - 297ms/epoch - 1ms/step\n", - "Epoch 39/50\n", - "200/200 - 0s - loss: 808.9903 - val_loss: 383.9979 - 287ms/epoch - 1ms/step\n", - "Epoch 40/50\n", - "200/200 - 0s - loss: 678.8907 - val_loss: 654.4024 - 294ms/epoch - 1ms/step\n", - "Epoch 41/50\n", - "200/200 - 0s - loss: 665.9963 - val_loss: 644.5117 - 288ms/epoch - 1ms/step\n", - "Epoch 42/50\n", - "200/200 - 0s - loss: 564.8236 - val_loss: 382.7279 - 288ms/epoch - 1ms/step\n", - "Epoch 43/50\n", - "200/200 - 0s - loss: 695.2458 - val_loss: 347.0737 - 289ms/epoch - 1ms/step\n", - "Epoch 44/50\n", - "200/200 - 0s - loss: 656.5037 - val_loss: 365.1847 - 293ms/epoch - 1ms/step\n", - "Epoch 45/50\n", - "200/200 - 0s - loss: 650.2351 - val_loss: 336.0977 - 282ms/epoch - 1ms/step\n", - "Epoch 46/50\n", - "200/200 - 0s - loss: 2014.8339 - val_loss: 14342.1201 - 289ms/epoch - 1ms/step\n", - "Epoch 47/50\n", - "200/200 - 0s - loss: 3744.4836 - val_loss: 4417.2993 - 293ms/epoch - 1ms/step\n", - "Epoch 48/50\n", - "200/200 - 0s - loss: 4538.4785 - val_loss: 2600.8518 - 276ms/epoch - 1ms/step\n", - "Epoch 49/50\n", - "200/200 - 0s - loss: 4542.9424 - val_loss: 2005.2528 - 293ms/epoch - 1ms/step\n", - "Epoch 50/50\n", - "200/200 - 0s - loss: 3266.6643 - val_loss: 2504.4763 - 275ms/epoch - 1ms/step\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label='val_loss')" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "1d1c37ed-d636-423f-c94f-4d15a521dbb5" - }, - "execution_count": 8, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "[]" - ] - }, - "metadata": {}, - "execution_count": 8 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " y_mean = y_true.mean()\n", - " return 1-(((y_true - y_pred)**2).mean())/(((y_true - y_mean)**2).mean())\n", - "\n", - "accu = r2_score(y_test, predictions.flatten()) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "53c6922e-519f-49f9-b24d-c1e79d09e3b9" - }, - "execution_count": 11, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.8264360170321686\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "Input of shape 5 with Dense layer of shape - 15 , 10 , 1 " - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "model_custom = keras.Sequential([\n", - " keras.layers.Dense(64,input_dim=5,activation='relu'),\n", - " keras.layers.Dense(15,activation='relu'),\n", - " keras.layers.Dense(10,activation='relu'),\n", - " keras.layers.Dense(1)\n", - "])\n", - "model_custom.compile(\n", - " optimizer=tf.optimizers.Adam(learning_rate=0.01),\n", - " loss='mean_absolute_error')\n", - "\n", - "history_custom =model_custom.fit(\n", - " X_train,y_train,\n", - " validation_split=0.2,\n", - " verbose=2, epochs=50)" - ], - "metadata": { - "id": "1XOk5hJu0oSQ", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "8d9618d6-c1ab-476f-a346-9a54e85327fa" - }, - "execution_count": 14, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/50\n", - "200/200 - 1s - loss: 22.5330 - val_loss: 6.2331 - 817ms/epoch - 4ms/step\n", - "Epoch 2/50\n", - "200/200 - 0s - loss: 5.0685 - val_loss: 5.1068 - 361ms/epoch - 2ms/step\n", - "Epoch 3/50\n", - "200/200 - 0s - loss: 4.8263 - val_loss: 4.6280 - 373ms/epoch - 2ms/step\n", - "Epoch 4/50\n", - "200/200 - 0s - loss: 4.9144 - val_loss: 5.2845 - 360ms/epoch - 2ms/step\n", - "Epoch 5/50\n", - "200/200 - 0s - loss: 4.7242 - val_loss: 5.0912 - 353ms/epoch - 2ms/step\n", - "Epoch 6/50\n", - "200/200 - 0s - loss: 4.5380 - val_loss: 4.6995 - 351ms/epoch - 2ms/step\n", - "Epoch 7/50\n", - "200/200 - 0s - loss: 4.5603 - val_loss: 4.5760 - 379ms/epoch - 2ms/step\n", - "Epoch 8/50\n", - "200/200 - 0s - loss: 4.7304 - val_loss: 4.5532 - 341ms/epoch - 2ms/step\n", - "Epoch 9/50\n", - "200/200 - 0s - loss: 4.7333 - val_loss: 4.7994 - 351ms/epoch - 2ms/step\n", - "Epoch 10/50\n", - "200/200 - 0s - loss: 4.6386 - val_loss: 4.8108 - 360ms/epoch - 2ms/step\n", - "Epoch 11/50\n", - "200/200 - 0s - loss: 4.5737 - val_loss: 4.8228 - 391ms/epoch - 2ms/step\n", - "Epoch 12/50\n", - "200/200 - 1s - loss: 4.6135 - val_loss: 4.2908 - 595ms/epoch - 3ms/step\n", - "Epoch 13/50\n", - "200/200 - 1s - loss: 4.4852 - val_loss: 4.8736 - 513ms/epoch - 3ms/step\n", - "Epoch 14/50\n", - "200/200 - 0s - loss: 4.6113 - val_loss: 4.5409 - 456ms/epoch - 2ms/step\n", - "Epoch 15/50\n", - "200/200 - 0s - loss: 4.7040 - val_loss: 4.7770 - 341ms/epoch - 2ms/step\n", - "Epoch 16/50\n", - "200/200 - 0s - loss: 4.5581 - val_loss: 4.5296 - 343ms/epoch - 2ms/step\n", - "Epoch 17/50\n", - "200/200 - 0s - loss: 4.5348 - val_loss: 5.2314 - 340ms/epoch - 2ms/step\n", - "Epoch 18/50\n", - "200/200 - 0s - loss: 4.6996 - val_loss: 4.6873 - 335ms/epoch - 2ms/step\n", - "Epoch 19/50\n", - "200/200 - 0s - loss: 4.6664 - val_loss: 4.5849 - 338ms/epoch - 2ms/step\n", - "Epoch 20/50\n", - "200/200 - 0s - loss: 4.5226 - val_loss: 4.3926 - 468ms/epoch - 2ms/step\n", - "Epoch 21/50\n", - "200/200 - 0s - loss: 4.5293 - val_loss: 4.7455 - 451ms/epoch - 2ms/step\n", - "Epoch 22/50\n", - "200/200 - 0s - loss: 4.5068 - val_loss: 4.3927 - 422ms/epoch - 2ms/step\n", - "Epoch 23/50\n", - "200/200 - 1s - loss: 4.5133 - val_loss: 5.8160 - 528ms/epoch - 3ms/step\n", - "Epoch 24/50\n", - "200/200 - 1s - loss: 4.5743 - val_loss: 4.4241 - 725ms/epoch - 4ms/step\n", - "Epoch 25/50\n", - "200/200 - 1s - loss: 4.5727 - val_loss: 5.6069 - 612ms/epoch - 3ms/step\n", - "Epoch 26/50\n", - "200/200 - 1s - loss: 4.5137 - val_loss: 4.9541 - 647ms/epoch - 3ms/step\n", - "Epoch 27/50\n", - "200/200 - 0s - loss: 4.5281 - val_loss: 4.4035 - 368ms/epoch - 2ms/step\n", - "Epoch 28/50\n", - "200/200 - 0s - loss: 4.5384 - val_loss: 4.5002 - 360ms/epoch - 2ms/step\n", - "Epoch 29/50\n", - "200/200 - 0s - loss: 4.5255 - val_loss: 4.2196 - 357ms/epoch - 2ms/step\n", - "Epoch 30/50\n", - "200/200 - 0s - loss: 4.6005 - val_loss: 4.4086 - 347ms/epoch - 2ms/step\n", - "Epoch 31/50\n", - "200/200 - 0s - loss: 4.4536 - val_loss: 4.4828 - 341ms/epoch - 2ms/step\n", - "Epoch 32/50\n", - "200/200 - 0s - loss: 4.5347 - val_loss: 4.2676 - 354ms/epoch - 2ms/step\n", - "Epoch 33/50\n", - "200/200 - 0s - loss: 4.5244 - val_loss: 4.7186 - 350ms/epoch - 2ms/step\n", - "Epoch 34/50\n", - "200/200 - 0s - loss: 4.6628 - val_loss: 4.8753 - 349ms/epoch - 2ms/step\n", - "Epoch 35/50\n", - "200/200 - 0s - loss: 4.4661 - val_loss: 4.5710 - 368ms/epoch - 2ms/step\n", - "Epoch 36/50\n", - "200/200 - 0s - loss: 4.5333 - val_loss: 5.0193 - 369ms/epoch - 2ms/step\n", - "Epoch 37/50\n", - "200/200 - 0s - loss: 4.5161 - val_loss: 4.5489 - 351ms/epoch - 2ms/step\n", - "Epoch 38/50\n", - "200/200 - 0s - loss: 4.4499 - val_loss: 5.2861 - 352ms/epoch - 2ms/step\n", - "Epoch 39/50\n", - "200/200 - 0s - loss: 4.4270 - val_loss: 4.5558 - 346ms/epoch - 2ms/step\n", - "Epoch 40/50\n", - "200/200 - 0s - loss: 4.4636 - val_loss: 4.9074 - 343ms/epoch - 2ms/step\n", - "Epoch 41/50\n", - "200/200 - 0s - loss: 4.3591 - val_loss: 5.3030 - 343ms/epoch - 2ms/step\n", - "Epoch 42/50\n", - "200/200 - 0s - loss: 4.3479 - val_loss: 4.2722 - 355ms/epoch - 2ms/step\n", - "Epoch 43/50\n", - "200/200 - 0s - loss: 4.6199 - val_loss: 4.2398 - 355ms/epoch - 2ms/step\n", - "Epoch 44/50\n", - "200/200 - 0s - loss: 4.4836 - val_loss: 4.6213 - 337ms/epoch - 2ms/step\n", - "Epoch 45/50\n", - "200/200 - 0s - loss: 4.4821 - val_loss: 5.1564 - 354ms/epoch - 2ms/step\n", - "Epoch 46/50\n", - "200/200 - 0s - loss: 4.4074 - val_loss: 4.5340 - 348ms/epoch - 2ms/step\n", - "Epoch 47/50\n", - "200/200 - 0s - loss: 4.3889 - val_loss: 4.4862 - 345ms/epoch - 2ms/step\n", - "Epoch 48/50\n", - "200/200 - 0s - loss: 4.4593 - val_loss: 4.5659 - 367ms/epoch - 2ms/step\n", - "Epoch 49/50\n", - "200/200 - 0s - loss: 4.4580 - val_loss: 4.4984 - 346ms/epoch - 2ms/step\n", - "Epoch 50/50\n", - "200/200 - 0s - loss: 4.4278 - val_loss: 5.0276 - 342ms/epoch - 2ms/step\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label='val_loss')" - ], - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "7bb395e3-43db-462b-b647-b8b66e23fa3e" - }, - "execution_count": 15, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "[]" - ] - }, - "metadata": {}, - "execution_count": 15 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "predictions_custom = model_custom.predict(X_test)\n", - "r2_score(y_test,predictions_custom.flatten())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "qs7zVvga1wZ6", - "outputId": "0e517b82-2d96-4268-85bd-4c8115d27f2a" - }, - "execution_count": 16, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "0.9971884682775427" - ] - }, - "metadata": {}, - "execution_count": 16 - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_200104.ipynb b/Assignment 2/A2_200104.ipynb deleted file mode 100644 index b81b682..0000000 --- a/Assignment 2/A2_200104.ipynb +++ /dev/null @@ -1,399 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CVusingTF_Assgn2.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.plot(X[0:,0],y,'o')\n", - "plt.show()\n", - "plt.plot(X[0:,1],y,'o')\n", - "plt.show()\n", - "plt.plot(X[0:,2],y,'o')\n", - "plt.show()\n", - "plt.plot(X[0:,3],y,'o')\n", - "plt.show()\n", - "plt.plot(X[0:,4],y,'o')\n", - "plt.show()\n", - "\n", - "#model.compile(\n", - " # optimizer=tf.optimizers.Adam(learning_rate=0.1),\n", - " # loss='mean_absolute_error')" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "97e0a17c-1daa-4ede-88b3-47f97578ed93" - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "def model(norm):\n", - " model = tf.keras.Sequential([\n", - " tf.keras.layers.Dense(5,input_dim=5,activation='relu'),\n", - " tf.keras.layers.Dense(5,activation='relu'),\n", - " tf.keras.layers.Dense(1,)\n", - " ])\n", - " model.compile(\n", - " optimizer=tf.optimizers.SGD(learning_rate=0.0001),\n", - " loss='mean_squared_error')\n", - " return model\n", - "\n", - "model1=model(X_train)\n", - "history =model1.fit(\n", - " X_train,y_train,\n", - " validation_split=0.2,\n", - " verbose=2, epochs=100)" - ], - "metadata": { - "id": "r32N1xK2ziOs" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "\n", - "def plot_loss(history):\n", - " plt.plot(history.history['loss'], label='loss')\n", - " plt.plot(history.history['val_loss'], label='val_loss')\n", - " plt.ylim\n", - " plt.xlabel('Epoch')\n", - " plt.ylabel('Error [y]')\n", - " plt.legend()\n", - " plt.grid(True)\n", - "plot_loss(history)\n", - "# Your code here" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 279 - }, - "outputId": "c61f4525-6beb-4cb1-9409-f0636a5b2760" - }, - "execution_count": 66, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "def r2_score(y_true, y_pred):\n", - " return 1-((np.sum(np.square(y_true-y_pred)))/(np.sum(np.square(y_true-(np.mean(y_true))))))\n", - "# Insert the function for R2 Score\n", - "predictions = model1.predict(X_test)\n", - "r2_score(y_test,predictions.flatten())" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "989d65e3-caa6-47ee-f5d0-6ac7f9a33517" - }, - "execution_count": 67, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "0.9981976086996229" - ] - }, - "metadata": {}, - "execution_count": 67 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "Input of shape 5 and\n", - "3 dense layers with 2 of them with relu activation functions\n", - "using optimizer Adam and loss function mean absolute error" - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "model2 = keras.Sequential([\n", - " keras.layers.Dense(64,input_dim=5,activation='relu'),\n", - " keras.layers.Dense(10,activation='relu'),\n", - " keras.layers.Dense(5,activation='relu'),\n", - " keras.layers.Dense(1)\n", - "])\n", - "model2.compile(\n", - " optimizer=tf.optimizers.Adam(learning_rate=0.01),\n", - " loss='mean_absolute_error')\n", - "\n", - "history2 =model2.fit(\n", - " X_train,y_train,\n", - " validation_split=0.2,\n", - " verbose=2, epochs=50)" - ], - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "plot_loss(history2)" - ], - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 279 - }, - "outputId": "505f5735-c8e2-4fe1-d00a-d4c6ddd3073e" - }, - "execution_count": 86, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "predictions2 = model2.predict(X_test)\n", - "r2_score(y_test,predictions2.flatten())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "D1a1vpqcfEYN", - "outputId": "db96c3da-5a9f-4826-d95e-06ee63d602bd" - }, - "execution_count": 89, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "0.997988835310735" - ] - }, - "metadata": {}, - "execution_count": 89 - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_200132.ipynb b/Assignment 2/A2_200132.ipynb deleted file mode 100644 index 37acbe0..0000000 --- a/Assignment 2/A2_200132.ipynb +++ /dev/null @@ -1,652 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "UxcaEbrCy1g_" - }, - "source": [ - "# Assigment 2: Deep Learning" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "h2JON-_Oy79w" - }, - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r6it-Rm7zD1Y" - }, - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "id": "UautPVj1yzaQ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "18ee9207-94c4-463d-8656-bdacb3ab34cd" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "for i in range(0,5):\n", - " plt.scatter(X[:,i],y)\n", - " plt.show()\n", - "# Your code here" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "XMXb9lTyzGHE" - }, - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "r32N1xK2ziOs", - "outputId": "62942a08-0b5a-4e53-a402-4c56d24fc546" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/20\n", - "5359/5359 [==============================] - 11s 2ms/step - loss: 10069.8164 - val_loss: 3255.5579\n", - "Epoch 2/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 823.1278 - val_loss: 285.4702\n", - "Epoch 3/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 252.7530 - val_loss: 207.0333\n", - "Epoch 4/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 158.5191 - val_loss: 112.7389\n", - "Epoch 5/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 89.4986 - val_loss: 63.2304\n", - "Epoch 6/20\n", - "5359/5359 [==============================] - 9s 2ms/step - loss: 55.4603 - val_loss: 42.9696\n", - "Epoch 7/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 41.3788 - val_loss: 35.1457\n", - "Epoch 8/20\n", - "5359/5359 [==============================] - 9s 2ms/step - loss: 35.7744 - val_loss: 33.0369\n", - "Epoch 9/20\n", - "5359/5359 [==============================] - 9s 2ms/step - loss: 33.1982 - val_loss: 30.5061\n", - "Epoch 10/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 31.5505 - val_loss: 33.5671\n", - "Epoch 11/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 30.4445 - val_loss: 28.0611\n", - "Epoch 12/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 29.5325 - val_loss: 33.2136\n", - "Epoch 13/20\n", - "5359/5359 [==============================] - 9s 2ms/step - loss: 29.1059 - val_loss: 28.0553\n", - "Epoch 14/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 28.3533 - val_loss: 38.9509\n", - "Epoch 15/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 28.2272 - val_loss: 27.2245\n", - "Epoch 16/20\n", - "5359/5359 [==============================] - 9s 2ms/step - loss: 27.9115 - val_loss: 28.3221\n", - "Epoch 17/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 27.5732 - val_loss: 29.7209\n", - "Epoch 18/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 27.6376 - val_loss: 26.4898\n", - "Epoch 19/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 27.6782 - val_loss: 28.0481\n", - "Epoch 20/20\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 27.5745 - val_loss: 28.2481\n" - ] - } - ], - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers\n", - "\n", - "model = keras.Sequential()\n", - "model.add(keras.Input(shape=(5)))\n", - "model.add(layers.Dense(5, activation='relu'))\n", - "model.add(layers.Dense(5, activation='relu'))\n", - "model.add(layers.Dense(1))\n", - "# compile model\n", - "optimizer = keras.optimizers.SGD(learning_rate=0.1)\n", - "model.compile(loss='mse')\n", - "# fit model\n", - "history = model.fit(X_train, y_train, validation_split=0.33, epochs=20,batch_size=1)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jmeP6vt3z0oA" - }, - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 295 - }, - "id": "RQTNqPHm0mOi", - "outputId": "4d5b5a85-7cf7-4295-d485-6c42deb2b66b" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "# Your code here\n", - "import matplotlib.pyplot as plt\n", - "loss_train = history.history['loss']\n", - "loss_val = history.history['val_loss']\n", - "plt.plot(loss_train, 'b', label='Training loss')\n", - "plt.plot(loss_val, 'g', label='validation loss')\n", - "plt.title('Training and Validation loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IVrR_vXA7kOt" - }, - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "-lOHpD8-7ggm", - "outputId": "7e20a23a-e7da-4bb2-bf72-9703281223dd" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9980324352162894\n" - ] - } - ], - "source": [ - "import numpy as np\n", - "predictions=model.predict(X_test)\n", - "from sklearn.metrics import r2_score\n", - "accu = r2_score(y_test, predictions) \n", - "print(\"Accuracy:\", accu)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "CHqzF1OU0pBg" - }, - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Q2MpwimsA8nk" - }, - "source": [ - "# Generating Dataset " - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "outputs": [], - "source": [ - "# Your code here\n", - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "j-SQ2NUQBE0m" - }, - "source": [ - "# Visualizing the Dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "id": "zico16qLBNiS", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "b5065a03-ce82-4020-844e-c18b3c9bc610" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "for i in range(0,5):\n", - " plt.scatter(X[:,i],y)\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "sei-b2DUCJ9L" - }, - "source": [ - "# Model Definition" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "vUThXgGQCOpO" - }, - "source": [ - "Using TensorFlow,we have built a model with the following definition:\n", - "\n", - "\n", - "\n", - "Input of shape 5\n", - "\n", - "Dense of shape 6\n", - "\n", - "Dense of shape 6\n", - "\n", - "Dense of shape 6\n", - "\n", - "Dense of shape 4\n", - "\n", - "Dense of shape 1\n", - "\n", - "We have used Mean Square Error Loss and Adam Optimizer\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "aS0ROZa402Lo", - "outputId": "2d6beb6b-26a8-43ca-91ec-247c1ad45abd" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/10\n", - "5359/5359 [==============================] - 11s 2ms/step - loss: 11335.4121 - val_loss: 4405.4102\n", - "Epoch 2/10\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 1282.2136 - val_loss: 317.5958\n", - "Epoch 3/10\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 241.6147 - val_loss: 173.4451\n", - "Epoch 4/10\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 146.2795 - val_loss: 106.2516\n", - "Epoch 5/10\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 91.1051 - val_loss: 69.5142\n", - "Epoch 6/10\n", - "5359/5359 [==============================] - 11s 2ms/step - loss: 61.6492 - val_loss: 49.7792\n", - "Epoch 7/10\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 46.5812 - val_loss: 39.7649\n", - "Epoch 8/10\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 37.2249 - val_loss: 33.6605\n", - "Epoch 9/10\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 32.1133 - val_loss: 31.2136\n", - "Epoch 10/10\n", - "5359/5359 [==============================] - 10s 2ms/step - loss: 29.5520 - val_loss: 28.5606\n" - ] - } - ], - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers\n", - "\n", - "model = keras.Sequential()\n", - "model.add(keras.Input(shape=(5)))\n", - "model.add(layers.Dense(6, activation='relu'))\n", - "model.add(layers.Dense(6, activation='relu'))\n", - "model.add(layers.Dense(6, activation='relu'))\n", - "model.add(layers.Dense(4, activation='relu'))\n", - "model.add(layers.Dense(1))\n", - "# compile model\n", - "optimizer= keras.optimizers.Adam(learning_rate=0.0003)\n", - "model.compile(loss='mse', optimizer= optimizer)\n", - "\n", - "# fit model\n", - "history = model.fit(X_train, y_train, validation_split=0.33, epochs=10,batch_size=1)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "ATqspJ8bBDB9" - }, - "source": [ - "# Plotting the Loss" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "id": "YIEAPFDYEuB0", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 295 - }, - "outputId": "c95c9435-9e14-4a3b-9f6e-40433ff8a23e" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "loss_train = history.history['loss']\n", - "loss_val = history.history['val_loss']\n", - "plt.plot(loss_train, 'g', label='Training loss')\n", - "plt.plot(loss_val, 'b', label='validation loss')\n", - "plt.title('Training and Validation loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Jar-XjV_E-ps" - }, - "source": [ - "# Evaluation Metrics" - ] - }, - { - "cell_type": "markdown", - "source": [ - "Calculating the r2_score and accuracy of our model" - ], - "metadata": { - "id": "_nexYz9VLwHi" - } - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "id": "VQUqZo0ZFH2R", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "441e3947-ba10-4c01-f23c-63f04ec63d21" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9979618336142239\n" - ] - } - ], - "source": [ - "import numpy as np\n", - "predictions=model.predict(X_test)\n", - "from sklearn.metrics import r2_score\n", - "accu = r2_score(y_test, predictions) \n", - "print(\"Accuracy:\", accu)" - ] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "Copy of Copy of CVusingTF_Assgn2.ipynb", - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file diff --git a/Assignment 2/A2_200135.ipynb b/Assignment 2/A2_200135.ipynb deleted file mode 100644 index 38b71bc..0000000 --- a/Assignment 2/A2_200135.ipynb +++ /dev/null @@ -1,488 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CVusingTF_Assgn2.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "for i in range(0,5):\n", - " cmap = plt.get_cmap(\"viridis\")\n", - " plt.scatter(X[:,i],y,color=cmap(0.2*i),s=10)\n", - " # plt.scatter(X_train[:,i],y_train,color=cmap(0.2*i),s=10)\n", - " plt.xlabel(\"input\")\n", - " plt.ylabel(\"output\")\n", - " plt.show()" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "e671eba9-9505-4259-f817-322bcff249cc" - }, - "execution_count": 16, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Data pre-processing " - ], - "metadata": { - "id": "PqXSDbSlO36w" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "X_train1=X_train/2.8\n", - "y_train1=y_train/262\n", - "X_test1=X_test/2.8\n", - "y_test1=y_test/262\n", - "print(np.max(y_train1))\n", - "print(np.min(y_train1))\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "voGIK0dOU4_P", - "outputId": "91b3e645-59a2-426f-ede3-e0c59f8ad0d0" - }, - "execution_count": 17, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "0.8846873833965454\n", - "-0.9988484518751607\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from keras.models import Sequential\n", - "from keras.layers import Dense\n", - "model = Sequential()\n", - "model.add(Dense(5, input_dim=5, activation='relu'))\n", - "model.add(Dense(5, activation='relu'))\n", - "model.add(Dense(1))\n", - "opt=tf.keras.optimizers.SGD(learning_rate=0.0048, momentum=0.0, nesterov=False, name=\"SGD\")\n", - "model.compile( loss=tf.keras.losses.MeanSquaredError())\n", - "history=model.fit(X_train1,y_train1,validation_split=0.33, epochs=100, batch_size=1,verbose=0)\n", - "# Your code here" - ], - "metadata": { - "id": "r32N1xK2ziOs" - }, - "execution_count": 42, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['loss'])\n", - "plt.plot(history.history['val_loss'])\n", - "plt.title('model loss')\n", - "plt.ylabel('loss')\n", - "plt.xlabel('epoch')\n", - "plt.legend(['train', 'test'], loc='upper left')\n", - "plt.show()" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 295 - }, - "outputId": "749ae679-cbc6-4df5-f64e-15110bf1dfb1" - }, - "execution_count": 43, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "y_pred=model.predict(X_test1)\n", - "from sklearn.metrics import r2_score\n", - "accu = r2_score(y_test1, y_pred) \n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "a396c490-18bc-45d2-fe57-b57124912410" - }, - "execution_count": 44, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9939404664517503\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate dataset and pre-processing" - ], - "metadata": { - "id": "FwmGGpQ2b9gT" - } - }, - { - "cell_type": "code", - "source": [ - "X, y = datasets.make_regression(n_samples=1000, n_features=5, noise=5, random_state=4)\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "X_train1=X_train/4.5\n", - "y_train1=y_train/500\n", - "X_test1=X_test/4.5\n", - "y_test1=y_test/500\n", - "print(np.max(y_train1))\n", - "print(np.min(y_train1))\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "lFcSYUQnZrT7", - "outputId": "db08e455-9561-4969-c479-9d21e0742e03" - }, - "execution_count": 49, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "0.832416491992364\n", - "-0.918640856019687\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## My model have 4 hidden layers which consists 12,7,5,3 neurons respectively\n", - "\n", - "I have used adam optimizer and mean squared error as loss" - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "my_model = Sequential()\n", - "my_model.add(Dense(12, input_dim=5, activation='relu'))\n", - "my_model.add(Dense(7, activation='relu'))\n", - "my_model.add(Dense(5, activation='relu'))\n", - "my_model.add(Dense(3, activation='relu'))\n", - "my_model.add(Dense(1))\n", - "opt = tf.keras.optimizers.Adam(learning_rate=0.005)\n", - "my_model.compile( loss=tf.keras.losses.MeanSquaredError())\n", - "new_history=my_model.fit(X_train1,y_train1,validation_split=0.33, epochs=50, batch_size=1, verbose=0)" - ], - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "execution_count": 53, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Loss_plot" - ], - "metadata": { - "id": "HIwPkr9NNzhC" - } - }, - { - "cell_type": "code", - "source": [ - "plt.plot(new_history.history['loss'])\n", - "plt.plot(new_history.history['val_loss'])\n", - "plt.title('model loss')\n", - "plt.ylabel('loss')\n", - "plt.xlabel('epoch')\n", - "plt.legend(['train', 'test'], loc='upper left')\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 295 - }, - "id": "rycbvLb-9BOd", - "outputId": "60d3b8ed-3e39-40fa-d800-04e84edd451a" - }, - "execution_count": 54, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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EiEhEAQFhQHgAwzs05LeISEQBAWOG29BtR0VEQgoIGBMQrZk0oC4mEREFBIwJiOZMEtBtR0VEFBBQtotJASEicaeAgDEBkUklaUgmdNtREYk9BQRAY3s4HewBwqup+4Y1HpOIxJsCAiDVAA0tY8djUgtCRGJOATHiDQP2aSwmEYk3BcSIcQP2qYtJROJOATGizJDfIiJxpoAYMT4gdAxCRGJOATHiDV1MCggRiTcFxIiRgHCnNZPSdRAiEnsKiBHZ6RDkIddHSybFcCEgXwxqXZWISM0oIEaUGW5DQ36LSJwpIEaUBkR0Twh1M4lInCkgRpQJCB2oFpE4U0CM0IiuIiJjKCBGlGtBqItJRGKsooAws8+Y2TQL3WhmT5nZe6td3D6VHRnRdTutuu2oiEjFLYg/c/cdwHuB6cDHga9WrapaSGchlY1aELrtqIhIpQFh0fQs4IfuvrpkWf2ILpbbdQxCA/aJSHxVGhBPmtk9hAFxt5m1AvV3FVl2Ogz20JROYoaG/BaRWEtVuN3FwGJgvbsPmNkM4E+rV1aNRC2IRMJoadCAfSISb5W2IE4C1rh7j5ldBHwJ6K1eWTWSbR8dsK85o3tCiEi8VRoQ3wIGzOwPgMuBl4AfVK2qWtGIriIioyoNiIK7O7Ac+Ka7Xw+0Vq+sGhl3TwgNtSEicVbpMYidZnYl4emt7zGzBJCuXlk10jQDCkOQH6RVLQgRiblKWxAfBYYJr4d4DZgL/H3VqqqVcVdT6yC1iMRZRQERhcKPgTYz+wAw5O71eQwCRgNCw32LSJxVOtTGecDjwEeA84DHzOzcCl53hpmtMbN1ZnZFmfUZM7s1Wv+Ymc0ft/6tZtZnZp+rpM69Nm7APg21ISJxVukxiL8C3uXuWwHMbBZwL3D7RC8wsyRwPXA60Ak8YWYr3P25ks0uBra7+2Fmdj5wLWF31oivAT+rdGf22pgWxCz6hgu4O2b1d9G4iMibqfQYRGIkHCLdFbx2KbDO3de7ew64hfAsqFLLgZuj+duB0yz6a2xmHwJ+D6yusMa9N66LyR0GcrqaWkTiqdKA+LmZ3W1mnzSzTwJ3ASvf5DVzgI0lzzujZWW3cfcC4cV3HWbWAnwB+MruPsDMLjGzVWa2qqurq8Jd2Q3dE0JEZFSlB6k/D9wAHBs9bnD3L1Sxri8D17l735vUdYO7L3H3JbNmzdr7T003QbIBBrbptqMiEnuVHoPA3e8A7pjEe28CDi15PjdaVm6bTjNLAW2E3VcnAOea2d8B7UBgZkPu/s1JfP7kmY1eLNeqFoSIxNxuA8LMdgJebhXg7j5tNy9/AjjczBYQBsH5wAXjtlkBfAJ4BDgXuC+6Yvs9JTV8GeirejiMGBnyW/eEEJGY221AuPseD6fh7gUzuwy4G0gCN7n7ajO7Bljl7iuAG4Efmtk6YBthiNTWaECoBSEi8VZxF9OecPeVjDuY7e5Xl8wPEV5bsbv3+HJViptIdjr0bFRAiEjsVXoWU3yMv6vckIb8FpF4UkCMFwVEcyYJ6CwmEYkvBcR42XbI95OhQGsmRXd/rtYViYjUhAJivNGL5Xo4pL2RzT2Dta1HRKRGFBDjlVxNfUhblld7h2pbj4hIjSggxisJiNntjbzaqxaEiMSTAmK87IxwGrUgXu/LMVzQgH0iEj8KiPFKWhBvaWsE4DV1M4lIDCkgxivtYmrLArC5RwEhIvGjgBgv0wqWDLuY2sMWhI5DiEgcKSDGKxnRdaQFoTOZRCSOFBDlRAGRbUjS3pTWtRAiEksKiHKigAB0LYSIxJYCopySgJjd1qiAEJFYUkCUU9qC0MVyIhJTCohystNhsAcIu5h6BvIM5nSxnIjEiwKinOx0GO6FYoHZ0amum9WKEJGYUUCUM3Kx3FAPh4yc6qqL5UQkZhQQ5ZS7mlotCBGJGQVEOSUBcXBbBlALQkTiRwFRTklAZFJJZrZkdCaTiMSOAqKcbHs4HbkWor2RzboWQkRiRgFRTkkLAuAt0xp5VcNtiEjMKCDKaWwDrKQFoeE2RCR+FBDlJJJhN9PoeEyN9A0X2DGUr3FhIiL7jgJiImOG29C1ECISPwqIiYwbsA904yARiRcFxETKtSB0HEJEYkQBMZGSgDi4NUPC0JlMIhIrCoiJlAREKpngoFZdCyEi8aKAmMjIkN9BAOi+ECISPwqIiWSnAx4O+w3MbsvqLCYRiRUFxETGXU19SFsjm3sHcfcaFiUisu8oICYyPiDaswzlA3oGdLGciMSDAmIi4wJi5FoI3RdCROJCATGR0YCI7k2tq6lFJGYUEBMpcwwCdDW1iMRHVQPCzM4wszVmts7MriizPmNmt0brHzOz+dHy083sSTN7Jpouq2adZTW2AwZ9WwCY2ZIhlTBdCyEisVG1gDCzJHA9cCawCPiYmS0at9nFwHZ3Pwy4Drg2Wv468EF3Pwb4BPDDatU5oWQKDjkWXn44fJowDp7WyGsKCBGJiWq2IJYC69x9vbvngFuA5eO2WQ7cHM3fDpxmZubuv3H3zdHy1UDWzDJVrLW8hctg4+MwvBOI7iyn4TZEJCaqGRBzgI0lzzujZWW3cfcC0At0jNvmw8BT7j48/gPM7BIzW2Vmq7q6uqas8FELl0GQhw0PAXBIm24cJCLxsV8fpDazowm7nS4tt97db3D3Je6+ZNasWVNfwKEnQLoJXroPCIfbeK13iCDQxXIiUv+qGRCbgENLns+NlpXdxsxSQBvQHT2fC9wJ/Im7v1TFOieWysC8d48GxOy2LLliQHd/ribliIjsS9UMiCeAw81sgZk1AOcDK8Zts4LwIDTAucB97u5m1g7cBVzh7g9VscY3t3AZdK+Fnld0qquIxErVAiI6pnAZcDfwPHCbu682s2vM7OxosxuBDjNbB/xPYORU2MuAw4Crzezp6HFQtWrdrYXRGbYv3c/s6GK5zbpYTkRiIFXNN3f3lcDKccuuLpkfAj5S5nV/Dfx1NWur2KwjoXU2vHQfhxx5PqAWhIjEw359kHq/YBa2ItY/wIxskkwqoTOZRCQWFBCVWHgqDPVgr/42HPZb10KISAwoICrxtlMBg/X36VoIEYkNBUQlmjvCYTdeuj+89ahaECISAwqISi1cBhsfY15LwJadwxR1sZyI1DkFRKUWLoOgwLGFZygGTtfON4z8ISJSVxQQlYqG3Ths5+OA7iwnIvVPAVGpVAbmn8xBW8Phv3VnORGpdwqIyVi4jEzveuZaly6WE5G6p4CYjGjYjWXp1RpuQ0TqngJiMmYeAdPmsKxhNZ3bB2pdjYhIVSkgJsMMFp7KUv8d/7V2C70D+VpXJCJSNQqIyXrbqTQVd3J4YR23rnql1tWIiFSNAmKyomE3LuhYxw8eeVkXzIlI3VJATFZzB8x5Jx/wB+ja3ssvn99S64pERKpCAbEnln2J5v5XuLz553z/4Q21rkZEpCoUEHti4TI4+hz+zO9k4/rnWPPazlpXJCIy5RQQe+p9f0symeJ/p3/A9x/6fa2rERGZcgqIPTVtNnbqFzkl8Rt2PP3vOuVVROqOAmJvnHApQzPezhcT3+eOx9bUuhoRkSmlgNgbyTSNy7/OHOum4aF/0CmvIlJXFBB7a95JdM47h4/mV/DoYw/VuhoRkSmjgJgCb/nw3zFoWdrvvxJcrQgRqQ8KiCmQmnYQvzn80xyd+x2bH/xBrcsREZkSCogpcuzZn+Z3vpAZD1wBj38XgmKtSxIR2SsKiCkyvTXLz466lqcKC2Dl5+DG0+HV39a6LBGRPaaAmEKXnXMq33rr1/hs7n8wuHU93HAK/PyLMKwrrUXkwKOAmELNmRQ3fnIpxWPO44Sd1/KbmWfDo9fD9SfA8/+hA9gickBRQEyxhlSCf/zoYj500tGcs/E8/mnB9XhjG9x6EdxyAfRsrHWJIiIVUUBUQSJhfOXso/nsHx3O/31+Op9quo78si/D+gfC1sTD34RiodZliojslgKiSsyMz/7REVyz/GjuWdPNBc+dwHPn3APzT4Z7/gq+ewp0PlnrMkVEJqSAqLI/OWk+3zj/OJ5/dSdn/eAVzun5NI+/6+t4/+vwvdPgrsthw0PQ313rUkVExjCvkwOnS5Ys8VWrVtW6jAn1DRe448lObn54A+tf72dBS5HrZv0nf/DqbRjRv0HzLJj19uhxJMx/Dxz09toWLiJ1zcyedPclZdcpIPatIHB+vbaL7z+8gQfWdDE72cMHDt7Gu6e9zlHJTcwc+j2JrjWQi06NnXkkLFoePg4+GsxquwMiUlcUEPup9V193LpqIw+v62b15l4CD8+CeuehbZw+J8/JwSrmbbmXzOZHMQ+g47AwKA49AdJN0NAUTkcemRZIZ2u9WyJyAFFAHAB6B/Os2rCNR9d38+j6baOBATA7tYOPTXuG03mUIwaeJsFuhvFIN0FTBzTNiKYd0DQTWt8C0+bAtNkw7RBonQ3pxn2zcyKy36pZQJjZGcA/Aknge+7+1XHrM8APgOOBbuCj7r4hWnclcDFQBD7t7nfv7rMO9IAYb8dQnrVbdrJuax9rt/Sxriuc9vdsZZ5tocmGaSRHE8M0J3LMzBQ5KD3MzGQ/HYk+2tnBtGAHLcVesvntNBT73/AZxcbpBNmZkG2H7HQSzR0kmqZjTTOgoQVSGUhlo2ljOE1nw0cqu2s+nQ3XJ1Llu8DcIT8Ig9tgcHv06Alfk50++vk0tkMytQ9+ujHU3w2vrwl/5rPeHrY+Rdh9QFTtf6OZJYHrgdOBTuAJM1vh7s+VbHYxsN3dDzOz84FrgY+a2SLgfOBoYDZwr5kd4e6xGQFvWmOa4+fN4Ph5M8YsH8gV2NwzRNfOYV7vCx8j82v6cvQO5sc8hgsBAM0M8hbbFj7YHk4L25je30c7O2m3Ltqtj3b6aLGhPa67QJKipSlakqKlcBJkgz7SXtktWXPJZgrJJoqJNMVkhiDRED3SuCVJeIGEF7GgQMLzJIICGOTT08in28g1tJNvaCOfaaOYnoYZJDwg4QXMiyQpYh7gyQaKqSaCdBNBqpliuglPN4MlsCAfbh8Uws8LCpiBJxogmcaTGTzZgKXC55ZIYYlEOLUElkxilsQKQyQK/Vh+AMsPkCgMhvPR+xmOsWtKMk0x3UKQbqHY0EIx3Uwx3Yon0iTyfSTzfSSGd5DM95PI7SRZGAwDNdUAyQyWCh8kUiR7XybZvYZU9xpSr79AYqBr9GfsGEH7PIJZiwhmHYXPOgpvnxd2UTY04w0tWENLGPgeQO8rWNeLWPcaEq+/SKL7Raz3Fbx1NsGMhQQzDsc7DsNnLCSY/jYs0zz6WcYbvzB4dFLGmO+mhWFsuJfE8A5suBcb6g2/VGSasYZWLNOCNbZimVasoRkv5PDCEJ7rx/ODkBskyA9AMgPZdryxHTLTIJEc/YhkwkiYkbDwNPTdKhagOAyFYSjmwunIfLIhbH2Xfkka+ZxiAQpD0fZD4WNk4E4L/7Xf9Dii+67X5gd3TYu58EtapjV6TIserWENVTg+Wc2va0uBde6+HsDMbgGWA6UBsRz4cjR/O/BNC//llgO3uPsw8HszWxe93yNVrPeA0NSQ4rCDWjjsoJaKth/KF9kxmGcgV2QgV2QwX9g1nyvSXyiyvRAwXAjIFQNyhYBCbgjPDeD5QTw/TDD6SzqEFYdIBcOkgyFSxWgaDJPyYZJeJEmBlOfDeS9gBOxMNNETNLOdFrYFLWwLmtlWzJLyPK2+k2n00259tNFPe6GfLENkLE+GAg3kyZCngSESFlDwJAWSFMhQoIk8SQxnGgO02yu08zyzrI9pNljlf4n9X5838pzP4cVgES/6XNb5HDLkONI6ObL7FY7c9jQLXvwZSSvfizDkaQzI2K5w7/JprAvm0ulH8pbebSzY/ABz7fYxryt4giIJAsLpyAMoCcQoFHEyFMZ8RiUq+VMYuNFHll5vZogGEgQYTgInYQEJnCQBaQqkKJKiSEM0n5jgZzKRnCdJ4KQsmNTrpsrTraew+PKfTvn7VjMg5gCl40p0AidMtI27F8ysF+iIlj867rVzxn+AmV0CXALw1re+dcoKryeN6SSN6eSbb1hDQeAUAqcYOPkgwAMI3AncKbrjPvJ84tdDuE3BocudrYUcPpB3gGQAAAe/SURBVNyH4wThf3nckgSWpOgGQQ7LDZAs9GG5ARKFASzXBx7giTSBpQgSKdxSeCJF4AZBHivmoDgctjKKObyQC79lexEPihAE4dSLFJONFJJZgnQTxWSWYiobtloshUO0X+E3+qJDopijoThAuthPQ7GfVKGfdKGPhBfIJ5sppFvIJ1vIp5vIJVvIJ7NQLJAIclgxR6I4HNVWoD97CP2Nh4x+q5wXPYh+jlvdec3hwcIQ0/o30Dz0KqniIOniQPgohFPc6W2eR0/TAnpaFjCcbscwzKAXeMEhWRxk2sArtA2+TFv/K6SCQcwDzIthay+aD/+q72o3jdQWJNIMJ1sZTreG01Qrw6kW8pYhHQxGP4cB0oV+0sV+0sUBiokGConG8GecaAx/tokGUp4jU9hBJr8znBZ2kCnsJBnkKEbxEEQ1BNF8YGmKliJIRFNLEliKYiJDMdEQtmaj+cDSJD1PMhgmXRwkFQyTDIZJFYdwS1BINFCwBvKJDHmLXm9JzB2iYAw55oz+DIywVWPRz6iQaCBnDRQsQ84y5BMZCpYmFeTIFPvJRL8jmSCcthxyxFT/twSqGxBV5+43ADdAeAyixuXIHkokjIZE+B8ly1SG2Yw330SAo6bgPY6egveQ/U01r6TeBBxa8nxutKzsNmaWAtoID1ZX8loREamiagbEE8DhZrbAzBoIDzqvGLfNCuAT0fy5wH0enla1AjjfzDJmtgA4HHi8irWKiMg4Vetiio4pXAbcTXia603uvtrMrgFWufsK4Ebgh9FB6G2EIUK03W2EB7QLwF/E6QwmEZH9gS6UExGJsd1dB6HRXEVEpCwFhIiIlKWAEBGRshQQIiJSVt0cpDazLuDlvXiLmcDrU1TOgUT7HS/a73ipZL/nufuscivqJiD2lpmtmuhIfj3TfseL9jte9na/1cUkIiJlKSBERKQsBcQuN9S6gBrRfseL9jte9mq/dQxCRETKUgtCRETKUkCIiEhZsQ8IMzvDzNaY2Tozu6LW9VSLmd1kZlvN7NmSZTPM7BdmtjaaTq9ljdVgZoea2f1m9pyZrTazz0TL63rfzazRzB43s99G+/2VaPkCM3ss+n2/NRqKv+6YWdLMfmNm/xk9j8t+bzCzZ8zsaTNbFS3b49/1WAeEmSWB64EzgUXAx8xsUW2rqprvA2eMW3YF8Et3Pxz4ZfS83hSAy919EXAi8BfRv3G97/swsMzd/wBYDJxhZicC1wLXufthwHbg4hrWWE2fAZ4veR6X/QY41d0Xl1z/sMe/67EOCGApsM7d17t7DrgFWF7jmqrC3X9NeM+NUsuBm6P5m4EP7dOi9gF3f9Xdn4rmdxL+0ZhDne+7h/qip+no4cAy4PZoed3tN4CZzQXeD3wvem7EYL93Y49/1+MeEHOAjSXPO6NlcXGwu78azb8GHFzLYqrNzOYDxwGPEYN9j7pZnga2Ar8AXgJ63L0QbVKvv+9fB/4SCKLnHcRjvyH8EnCPmT1pZpdEy/b4d71qd5STA4u7u5nV7TnPZtYC3AF81t13hF8qQ/W679FdGBebWTtwJ/D2GpdUdWb2AWCruz9pZqfUup4aONndN5nZQcAvzOyF0pWT/V2PewtiE3BoyfO50bK42GJmhwBE0601rqcqzCxNGA4/dvd/ixbHYt8B3L0HuB84CWg3s5EvhvX4+/5u4Gwz20DYZbwM+Efqf78BcPdN0XQr4ZeCpezF73rcA+IJ4PDoDIcGwntir6hxTfvSCuAT0fwngJ/WsJaqiPqfbwSed/evlayq6303s1lRywEzywKnEx5/uR84N9qs7vbb3a9097nuPp/w//N97n4hdb7fAGbWbGatI/PAe4Fn2Yvf9dhfSW1mZxH2WSaBm9z9b2pcUlWY2U+AUwiH/90C/C/g34HbgLcSDpV+nruPP5B9QDOzk4EHgWfY1Sf9RcLjEHW772Z2LOEBySThF8Hb3P0aM3sb4TfrGcBvgIvcfbh2lVZP1MX0OXf/QBz2O9rHO6OnKeD/ufvfmFkHe/i7HvuAEBGR8uLexSQiIhNQQIiISFkKCBERKUsBISIiZSkgRESkLAWEyH7AzE4ZGXlUZH+hgBARkbIUECKTYGYXRfdZeNrMvhMNiNdnZtdF9134pZnNirZdbGaPmtnvzOzOkXH4zewwM7s3ulfDU2a2MHr7FjO73cxeMLMfW+mAUSI1oIAQqZCZHQV8FHi3uy8GisCFQDOwyt2PBn5FeJU6wA+AL7j7sYRXco8s/zFwfXSvhj8ERkbaPA74LOG9Sd5GOK6QSM1oNFeRyp0GHA88EX25zxIOfBYAt0bb/Aj4NzNrA9rd/VfR8puBf43Gypnj7ncCuPsQQPR+j7t7Z/T8aWA+8F/V3y2R8hQQIpUz4GZ3v3LMQrOrxm23p+PXlI4NVET/P6XG1MUkUrlfAudGY+2P3Ot3HuH/o5GRQi8A/svde4HtZvaeaPnHgV9Fd7XrNLMPRe+RMbOmfboXIhXSNxSRCrn7c2b2JcI7diWAPPAXQD+wNFq3lfA4BYRDK387CoD1wJ9Gyz8OfMfMrone4yP7cDdEKqbRXEX2kpn1uXtLresQmWrqYhIRkbLUghARkbLUghARkbIUECIiUpYCQkREylJAiIhIWQoIEREp6/8D/gv5nytNh10AAAAASUVORK5CYII=\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### r2_score" - ], - "metadata": { - "id": "miO1Lw1Z9Axb" - } - }, - { - "cell_type": "code", - "source": [ - "predicitons=my_model.predict(X_test1)\n", - "from sklearn.metrics import r2_score\n", - "accu = r2_score(y_test1,predicitons) \n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "afae52c4-e9ac-4abb-d574-f9089d6b855a" - }, - "execution_count": 55, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9971830862787954\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "gDJ8YjXDRdm8" - }, - "execution_count": null, - "outputs": [] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_200148.ipynb b/Assignment 2/A2_200148.ipynb deleted file mode 100644 index fa796a9..0000000 --- a/Assignment 2/A2_200148.ipynb +++ /dev/null @@ -1,577 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A2_200148.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "for i in range(5):\n", - " plt.scatter(X_train[:,i], y_train)\n", - "# Your code here" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "94767af6-4e30-47ab-b112-8ed6a40ce18b" - }, - "execution_count": 12, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "\n", - "model = keras.Sequential([\n", - " keras.layers.Dense(5,input_dim=5,activation='relu'),\n", - " keras.layers.Dense(5,activation='relu'),\n", - " keras.layers.Dense(1)\n", - "])\n", - "\n", - "model.compile(loss='mean_squared_error',optimizer = tf.keras.optimizers.SGD(0.001))\n", - "\n", - "history =model.fit(X_train,y_train,epochs=50,validation_split = 0.2,verbose=2)\n", - "\n", - "predictions = model.predict(X_test)\n", - "# Your code here" - ], - "metadata": { - "id": "r32N1xK2ziOs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "19635d89-e183-418e-d718-aa62124b44a3" - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/50\n", - "2/2 - 1s - loss: 12562.4580 - val_loss: 7100.0142 - 737ms/epoch - 369ms/step\n", - "Epoch 2/50\n", - "2/2 - 0s - loss: 12459.6055 - val_loss: 6960.8091 - 31ms/epoch - 16ms/step\n", - "Epoch 3/50\n", - "2/2 - 0s - loss: 12245.0596 - val_loss: 6575.2349 - 34ms/epoch - 17ms/step\n", - "Epoch 4/50\n", - "2/2 - 0s - loss: 11702.4980 - val_loss: 5293.4946 - 29ms/epoch - 15ms/step\n", - "Epoch 5/50\n", - "2/2 - 0s - loss: 10191.4668 - val_loss: 2423.7524 - 32ms/epoch - 16ms/step\n", - "Epoch 6/50\n", - "2/2 - 0s - loss: 6582.1665 - val_loss: 2278.7197 - 30ms/epoch - 15ms/step\n", - "Epoch 7/50\n", - "2/2 - 0s - loss: 5255.9893 - val_loss: 532.2012 - 33ms/epoch - 16ms/step\n", - "Epoch 8/50\n", - "2/2 - 0s - loss: 1501.4688 - val_loss: 1069.5002 - 31ms/epoch - 16ms/step\n", - "Epoch 9/50\n", - "2/2 - 0s - loss: 755.2053 - val_loss: 265.7645 - 34ms/epoch - 17ms/step\n", - "Epoch 10/50\n", - "2/2 - 0s - loss: 274.9905 - val_loss: 306.5620 - 35ms/epoch - 17ms/step\n", - "Epoch 11/50\n", - "2/2 - 0s - loss: 663.9647 - val_loss: 1089.6829 - 34ms/epoch - 17ms/step\n", - "Epoch 12/50\n", - "2/2 - 0s - loss: 1659.8613 - val_loss: 1744.9104 - 34ms/epoch - 17ms/step\n", - "Epoch 13/50\n", - "2/2 - 0s - loss: 1784.8796 - val_loss: 241.3332 - 33ms/epoch - 17ms/step\n", - "Epoch 14/50\n", - "2/2 - 0s - loss: 618.6946 - val_loss: 114.9442 - 30ms/epoch - 15ms/step\n", - "Epoch 15/50\n", - "2/2 - 0s - loss: 535.1907 - val_loss: 85.8388 - 35ms/epoch - 17ms/step\n", - "Epoch 16/50\n", - "2/2 - 0s - loss: 401.3998 - val_loss: 104.7136 - 31ms/epoch - 15ms/step\n", - "Epoch 17/50\n", - "2/2 - 0s - loss: 604.3389 - val_loss: 418.4176 - 27ms/epoch - 13ms/step\n", - "Epoch 18/50\n", - "2/2 - 0s - loss: 457.4938 - val_loss: 119.9593 - 30ms/epoch - 15ms/step\n", - "Epoch 19/50\n", - "2/2 - 0s - loss: 167.9764 - val_loss: 125.8008 - 42ms/epoch - 21ms/step\n", - "Epoch 20/50\n", - "2/2 - 0s - loss: 189.1585 - val_loss: 110.2644 - 29ms/epoch - 15ms/step\n", - "Epoch 21/50\n", - "2/2 - 0s - loss: 167.1563 - val_loss: 158.0112 - 32ms/epoch - 16ms/step\n", - "Epoch 22/50\n", - "2/2 - 0s - loss: 193.3697 - val_loss: 140.8954 - 33ms/epoch - 16ms/step\n", - "Epoch 23/50\n", - "2/2 - 0s - loss: 166.1742 - val_loss: 169.6348 - 27ms/epoch - 14ms/step\n", - "Epoch 24/50\n", - "2/2 - 0s - loss: 259.0977 - val_loss: 114.7868 - 33ms/epoch - 17ms/step\n", - "Epoch 25/50\n", - "2/2 - 0s - loss: 159.6169 - val_loss: 97.0049 - 30ms/epoch - 15ms/step\n", - "Epoch 26/50\n", - "2/2 - 0s - loss: 102.6757 - val_loss: 68.8140 - 35ms/epoch - 17ms/step\n", - "Epoch 27/50\n", - "2/2 - 0s - loss: 61.7238 - val_loss: 61.1610 - 29ms/epoch - 14ms/step\n", - "Epoch 28/50\n", - "2/2 - 0s - loss: 30.0065 - val_loss: 31.7150 - 35ms/epoch - 18ms/step\n", - "Epoch 29/50\n", - "2/2 - 0s - loss: 34.0192 - val_loss: 59.1077 - 34ms/epoch - 17ms/step\n", - "Epoch 30/50\n", - "2/2 - 0s - loss: 29.3717 - val_loss: 33.9683 - 31ms/epoch - 15ms/step\n", - "Epoch 31/50\n", - "2/2 - 0s - loss: 38.6678 - val_loss: 58.4196 - 30ms/epoch - 15ms/step\n", - "Epoch 32/50\n", - "2/2 - 0s - loss: 43.7590 - val_loss: 79.5070 - 33ms/epoch - 17ms/step\n", - "Epoch 33/50\n", - "2/2 - 0s - loss: 55.0516 - val_loss: 87.1677 - 29ms/epoch - 15ms/step\n", - "Epoch 34/50\n", - "2/2 - 0s - loss: 78.3114 - val_loss: 136.0195 - 27ms/epoch - 13ms/step\n", - "Epoch 35/50\n", - "2/2 - 0s - loss: 177.3261 - val_loss: 296.7363 - 29ms/epoch - 14ms/step\n", - "Epoch 36/50\n", - "2/2 - 0s - loss: 321.2946 - val_loss: 240.6338 - 28ms/epoch - 14ms/step\n", - "Epoch 37/50\n", - "2/2 - 0s - loss: 194.9211 - val_loss: 200.6320 - 30ms/epoch - 15ms/step\n", - "Epoch 38/50\n", - "2/2 - 0s - loss: 66.8191 - val_loss: 87.4985 - 35ms/epoch - 17ms/step\n", - "Epoch 39/50\n", - "2/2 - 0s - loss: 43.7485 - val_loss: 95.3036 - 37ms/epoch - 18ms/step\n", - "Epoch 40/50\n", - "2/2 - 0s - loss: 69.6753 - val_loss: 80.7857 - 33ms/epoch - 17ms/step\n", - "Epoch 41/50\n", - "2/2 - 0s - loss: 43.6927 - val_loss: 47.9866 - 31ms/epoch - 16ms/step\n", - "Epoch 42/50\n", - "2/2 - 0s - loss: 33.6922 - val_loss: 43.7812 - 38ms/epoch - 19ms/step\n", - "Epoch 43/50\n", - "2/2 - 0s - loss: 66.6897 - val_loss: 77.8935 - 33ms/epoch - 17ms/step\n", - "Epoch 44/50\n", - "2/2 - 0s - loss: 130.5204 - val_loss: 54.1297 - 35ms/epoch - 17ms/step\n", - "Epoch 45/50\n", - "2/2 - 0s - loss: 72.6702 - val_loss: 67.5942 - 26ms/epoch - 13ms/step\n", - "Epoch 46/50\n", - "2/2 - 0s - loss: 57.9613 - val_loss: 78.3037 - 46ms/epoch - 23ms/step\n", - "Epoch 47/50\n", - "2/2 - 0s - loss: 60.1677 - val_loss: 66.6884 - 30ms/epoch - 15ms/step\n", - "Epoch 48/50\n", - "2/2 - 0s - loss: 49.9996 - val_loss: 58.4289 - 32ms/epoch - 16ms/step\n", - "Epoch 49/50\n", - "2/2 - 0s - loss: 41.9190 - val_loss: 63.6317 - 31ms/epoch - 16ms/step\n", - "Epoch 50/50\n", - "2/2 - 0s - loss: 75.0984 - val_loss: 75.1936 - 41ms/epoch - 21ms/step\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label='val_loss')" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "4f5ae5f0-e388-419a-d2bd-63980c350ff8" - }, - "execution_count": 4, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "[]" - ] - }, - "metadata": {}, - "execution_count": 4 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " y_mean = y_true.mean()\n", - " return 1-(((y_true - y_pred)**2).mean())/(((y_true - y_mean)**2).mean())\n", - "\n", - "accu = r2_score(y_test, predictions.flatten()) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "f54b0d29-c37a-4523-8fc3-2f7dedbd10a9" - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9928876028975833\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, we build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 10 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "\n" - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "model_custom = keras.Sequential([\n", - " keras.layers.Dense(64,input_dim=5,activation='relu'),\n", - " keras.layers.Dense(10,activation='relu'),\n", - " keras.layers.Dense(5,activation='relu'),\n", - " keras.layers.Dense(1)\n", - "])\n", - "model_custom.compile(\n", - " optimizer=tf.optimizers.Adam(learning_rate=0.01),\n", - " loss='mean_absolute_error')\n", - "\n", - "history_custom =model_custom.fit(\n", - " X_train,y_train,\n", - " validation_split=0.2,\n", - " verbose=2, epochs=50)" - ], - "metadata": { - "id": "1XOk5hJu0oSQ", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "abd92243-ac04-435c-8bdf-e91eb91b5540" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/50\n", - "2/2 - 1s - loss: 89.0492 - val_loss: 72.4353 - 510ms/epoch - 255ms/step\n", - "Epoch 2/50\n", - "2/2 - 0s - loss: 88.9961 - val_loss: 72.3915 - 28ms/epoch - 14ms/step\n", - "Epoch 3/50\n", - "2/2 - 0s - loss: 88.9342 - val_loss: 72.3249 - 31ms/epoch - 15ms/step\n", - "Epoch 4/50\n", - "2/2 - 0s - loss: 88.8386 - val_loss: 72.2357 - 29ms/epoch - 15ms/step\n", - "Epoch 5/50\n", - "2/2 - 0s - loss: 88.7244 - val_loss: 72.0923 - 37ms/epoch - 18ms/step\n", - "Epoch 6/50\n", - "2/2 - 0s - loss: 88.5514 - val_loss: 71.8858 - 29ms/epoch - 15ms/step\n", - "Epoch 7/50\n", - "2/2 - 0s - loss: 88.3223 - val_loss: 71.6217 - 34ms/epoch - 17ms/step\n", - "Epoch 8/50\n", - "2/2 - 0s - loss: 88.0034 - val_loss: 71.2775 - 28ms/epoch - 14ms/step\n", - "Epoch 9/50\n", - "2/2 - 0s - loss: 87.6009 - val_loss: 70.8109 - 30ms/epoch - 15ms/step\n", - "Epoch 10/50\n", - "2/2 - 0s - loss: 87.0725 - val_loss: 70.1842 - 48ms/epoch - 24ms/step\n", - "Epoch 11/50\n", - "2/2 - 0s - loss: 86.3905 - val_loss: 69.3185 - 52ms/epoch - 26ms/step\n", - "Epoch 12/50\n", - "2/2 - 0s - loss: 85.4039 - val_loss: 68.1954 - 33ms/epoch - 16ms/step\n", - "Epoch 13/50\n", - "2/2 - 0s - loss: 84.1677 - val_loss: 66.6920 - 32ms/epoch - 16ms/step\n", - "Epoch 14/50\n", - "2/2 - 0s - loss: 82.7292 - val_loss: 64.7825 - 32ms/epoch - 16ms/step\n", - "Epoch 15/50\n", - "2/2 - 0s - loss: 80.5907 - val_loss: 62.3355 - 39ms/epoch - 19ms/step\n", - "Epoch 16/50\n", - "2/2 - 0s - loss: 78.1990 - val_loss: 59.1920 - 35ms/epoch - 18ms/step\n", - "Epoch 17/50\n", - "2/2 - 0s - loss: 75.0768 - val_loss: 55.4474 - 34ms/epoch - 17ms/step\n", - "Epoch 18/50\n", - "2/2 - 0s - loss: 71.3627 - val_loss: 50.6927 - 31ms/epoch - 15ms/step\n", - "Epoch 19/50\n", - "2/2 - 0s - loss: 66.8556 - val_loss: 44.6874 - 31ms/epoch - 15ms/step\n", - "Epoch 20/50\n", - "2/2 - 0s - loss: 61.6566 - val_loss: 37.5492 - 30ms/epoch - 15ms/step\n", - "Epoch 21/50\n", - "2/2 - 0s - loss: 54.8343 - val_loss: 29.1315 - 29ms/epoch - 15ms/step\n", - "Epoch 22/50\n", - "2/2 - 0s - loss: 48.6005 - val_loss: 21.5592 - 33ms/epoch - 17ms/step\n", - "Epoch 23/50\n", - "2/2 - 0s - loss: 42.6774 - val_loss: 21.1291 - 39ms/epoch - 20ms/step\n", - "Epoch 24/50\n", - "2/2 - 0s - loss: 38.5919 - val_loss: 22.1444 - 35ms/epoch - 17ms/step\n", - "Epoch 25/50\n", - "2/2 - 0s - loss: 34.1969 - val_loss: 16.8988 - 34ms/epoch - 17ms/step\n", - "Epoch 26/50\n", - "2/2 - 0s - loss: 31.3573 - val_loss: 13.3422 - 33ms/epoch - 17ms/step\n", - "Epoch 27/50\n", - "2/2 - 0s - loss: 30.4255 - val_loss: 12.7891 - 32ms/epoch - 16ms/step\n", - "Epoch 28/50\n", - "2/2 - 0s - loss: 27.8242 - val_loss: 16.1496 - 30ms/epoch - 15ms/step\n", - "Epoch 29/50\n", - "2/2 - 0s - loss: 26.6174 - val_loss: 14.8195 - 32ms/epoch - 16ms/step\n", - "Epoch 30/50\n", - "2/2 - 0s - loss: 24.0104 - val_loss: 11.9511 - 35ms/epoch - 17ms/step\n", - "Epoch 31/50\n", - "2/2 - 0s - loss: 22.4564 - val_loss: 10.9306 - 33ms/epoch - 16ms/step\n", - "Epoch 32/50\n", - "2/2 - 0s - loss: 21.4864 - val_loss: 11.1063 - 35ms/epoch - 17ms/step\n", - "Epoch 33/50\n", - "2/2 - 0s - loss: 19.9040 - val_loss: 14.7020 - 33ms/epoch - 17ms/step\n", - "Epoch 34/50\n", - "2/2 - 0s - loss: 18.9373 - val_loss: 14.8762 - 45ms/epoch - 23ms/step\n", - "Epoch 35/50\n", - "2/2 - 0s - loss: 17.3748 - val_loss: 15.4515 - 37ms/epoch - 18ms/step\n", - "Epoch 36/50\n", - "2/2 - 0s - loss: 17.0755 - val_loss: 14.9476 - 35ms/epoch - 18ms/step\n", - "Epoch 37/50\n", - "2/2 - 0s - loss: 16.3216 - val_loss: 16.0265 - 35ms/epoch - 18ms/step\n", - "Epoch 38/50\n", - "2/2 - 0s - loss: 14.7887 - val_loss: 17.7548 - 35ms/epoch - 18ms/step\n", - "Epoch 39/50\n", - "2/2 - 0s - loss: 13.6326 - val_loss: 14.3966 - 29ms/epoch - 14ms/step\n", - "Epoch 40/50\n", - "2/2 - 0s - loss: 11.6922 - val_loss: 10.7096 - 28ms/epoch - 14ms/step\n", - "Epoch 41/50\n", - "2/2 - 0s - loss: 11.2651 - val_loss: 8.6769 - 30ms/epoch - 15ms/step\n", - "Epoch 42/50\n", - "2/2 - 0s - loss: 10.5125 - val_loss: 9.3475 - 29ms/epoch - 15ms/step\n", - "Epoch 43/50\n", - "2/2 - 0s - loss: 10.2731 - val_loss: 10.8408 - 36ms/epoch - 18ms/step\n", - "Epoch 44/50\n", - "2/2 - 0s - loss: 9.6179 - val_loss: 11.5482 - 27ms/epoch - 13ms/step\n", - "Epoch 45/50\n", - "2/2 - 0s - loss: 9.0791 - val_loss: 12.2410 - 28ms/epoch - 14ms/step\n", - "Epoch 46/50\n", - "2/2 - 0s - loss: 8.8414 - val_loss: 12.5561 - 34ms/epoch - 17ms/step\n", - "Epoch 47/50\n", - "2/2 - 0s - loss: 8.3035 - val_loss: 10.8307 - 30ms/epoch - 15ms/step\n", - "Epoch 48/50\n", - "2/2 - 0s - loss: 8.1131 - val_loss: 9.4068 - 29ms/epoch - 14ms/step\n", - "Epoch 49/50\n", - "2/2 - 0s - loss: 7.7283 - val_loss: 9.1862 - 35ms/epoch - 17ms/step\n", - "Epoch 50/50\n", - "2/2 - 0s - loss: 7.4314 - val_loss: 9.4202 - 31ms/epoch - 15ms/step\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label='val_loss')" - ], - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "07d47dfc-a16b-4030-987e-b8e031fd20f1" - }, - "execution_count": 10, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "[]" - ] - }, - "metadata": {}, - "execution_count": 10 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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459qAy4H7/M3uA67w318O/MR5XgSKzawaWAqsdM61OOdagZXAstHWa8zkFMOx58Cmx5M+1AXHTwPgybd0dSAimSGZK4N6oBn4kZmtNbMfmlkeUOmc2+Vvsxuo9N/XADsG7d/olx2u/APM7AYzW2Nma5qbm5Oo+ijNvQT2boJ9W5I6zMzyPGaU5fLkm+o3EJHMkEwYhIDTgLucc6cC3RxsEgLAeY/1StkYSufc3c65hc65hRUVFak67MjNu8RbJtlUZGZcMK+S57bso2dAD7sRkfRLJgwagUbn3Gr/84N44dDkN//gL/e3hewE6gbtX+uXHa488xQfA5UnpaSpaMnx0xiIJXi+YV8KKiYikpxRh4Fzbjeww8zm+kVLgI3AI8D+EUHXAg/77x8BPumPKloMtPvNSU8AF5tZid9xfLFflpnmLocdL0J3cr/Ez5hRSn44xCr1G4hIBkh2NNFfAz8zs9eBU4B/Br4JXGRmm4EL/c8AjwHvAA3AfwCfBXDOtQDfAF72X1/3yzLTvEvAJWBzcnmVHQrwkePKefKtJrzWNBGR9Akls7Nzbh2wcIhVS4bY1gE3HuY49wL3JlOXcVN9ChRM9/oNTvnTpA51wbxKHlu/mw3vdXBiTVGKKigicvQ0A/lopfDGdefNrcBMQ0xFJP0UBqMx7xKI9sDWZ5I6THl+mFPqitVvICJppzAYjRkfhuyCFM1GnsZrO9po7uxPQcVEREZHYTAaoTDMXpKSG9ddMM+bk/fUJl0diEj6KAxGa96l0NUE761N6jDHVxdQXRThSd24TkTSSGEwWnVnesum9Ukdxsw497gKnt+iR2GKSPooDEarqBYCWdCyNelDHVuWR0dfjK5+3ZpCRNJDYTBagaB3e4rW5MOgqigMQFNHX9LHEhEZDYVBMkrrU3JlUFkYAaCpXWEgIumhMEhGST20boMkbydR5YfBbl0ZiEiaKAySUVoP/R3Qk9xN66qKFAYikl4Kg2SUzvSWSTYV5WaHKIiE1EwkImmjMEhGSb23TEUncmGEpg7NQhaR9FAYJKPkWG+Zok5kNROJSLooDJKRlePdzjoFVwaVhRENLRWRtFEYJCtFw0urisLs6ewnntCDbkRk/CkMklVSn7I+g3jCsa9L/QYiMv4UBskqneHdsG6gO6nDVGqugYikkcIgWfuHl7ZuS+owB+YaaHipiKSBwiBZ+4eXtryT1GEO3JJCD7kRkTRQGCSrdH8YJNdvUJ4fJhgwTTwTkbRQGCQrpwQixUl3IgcDRkV+WH0GIpIWSYeBmQXNbK2Z/cb/XG9mq82swcx+YWbZfnnY/9zgr58x6Bi3+OWbzGxpsnUad6m6e2mR5hqISHqk4srg88Cbgz5/C7jDOTcbaAWu98uvB1r98jv87TCz+cDVwAnAMuAHZhZMQb3GT8qGl4bVgSwiaZFUGJhZLXAp8EP/swEXAA/6m9wHXOG/v9z/jL9+ib/95cAK51y/c24r0AAsSqZe4660Htp2QDya1GGqdEsKEUmTZK8MvgN8BUj4n8uANufc/uc3NgI1/vsaYAeAv77d3/5A+RD7vI+Z3WBma8xsTXNzc5JVT6GSenBxaN8x/LZHUFkUobMvRs+AHn8pIuNr1GFgZpcBe5xzr6SwPkfknLvbObfQObewoqJivL52eCm6lXVlgT+8VHcvFZFxlsyVwTnAx8xsG7ACr3nou0CxmYX8bWqBnf77nUAdgL++CNg3uHyIfSaG0tTMNdDEMxFJl1GHgXPuFudcrXNuBl4H8JPOuT8DngKu9De7FnjYf/+I/xl//ZPOOeeXX+2PNqoH5gAvjbZeaZFfBaFI0rOQD0w8U7+BiIyz0PCbHLWvAivM7J+AtcA9fvk9wE/NrAFowQsQnHMbzOwBYCMQA250zsXHoF5jJxCAkhlJNxPp8Zciki4pCQPn3NPA0/77dxhiNJBzrg+46jD73wbcloq6pE0Khpfmh0Pkh0NqJhKRcacZyKlSWu81E7nknkdQWRhWM5GIjDuFQaqU1EO0x7uddRKqNAtZRNJAYZAqKbphXWVBRENLRWTcKQxS5cBzDZIMA//KIKHHX4rIOFIYpEpRHVgg+bkGhRFiCce+7oEUVUxEZHgKg1QJZUNRbfLNRJprICJpoDBIpRQML9UsZBFJB4VBKqXguQZVhZp4JiLjT2GQSiX10NsCfe2jPkR5fjYBgz0KAxEZRwqDVErB8NJQMEC5Hn8pIuNMYZBKKRpeWlUUYbfmGojIOFIYpFLJDG+ZghFFTepAFpFxpDBIpXAB5FWkZK6BmolEZDwpDFKtpD7p5xpUFUVo743SF51Yd/IWkYlLYZBqKRheqolnIjLeFAapVlIPHTshNvoO4MrCMKCJZyIyfhQGqVZaDzhofXfUh9DEMxEZbwqDVCvx5xokMby0skjNRCIyvhQGqbZ/rsHm30F/56gOURAOkZsdZHe75hqIyPhQGKRaXjnM+DC8/EP4lznwy09BwypIjHxkkJlRVagnnonI+AmluwKTjhlc+1/Q+DK8dj+88UtY/wAUVMNJV8Hiv4LC6cMeplJzDURkHOnKYCyYQd0iuOwO+OLbcNV9UH0KvPB9eOgzIzpEZWFYVwYiMm4UBmMtKwInXAF/ugLO/DTsWA3x6LC7VRZF2NPRj3N6/KWIjL1Rh4GZ1ZnZU2a20cw2mNnn/fJSM1tpZpv9ZYlfbmZ2p5k1mNnrZnbaoGNd62+/2cyuTf60MlTdIoj1we7Xh920qjDCQDxBix5/KSLjIJkrgxjwRefcfGAxcKOZzQduBlY55+YAq/zPAMuBOf7rBuAu8MIDuBU4E1gE3Lo/QCad2kXecsdLw26quQYiMp5GHQbOuV3OuVf9953Am0ANcDlwn7/ZfcAV/vvLgZ84z4tAsZlVA0uBlc65FudcK7ASWDbaemW0ohoorPWaioahuQYiMp5S0mdgZjOAU4HVQKVzbpe/ajdQ6b+vAXYM2q3RLztc+VDfc4OZrTGzNc3Nzamo+virWwQ7Xh52swNXBpprICLjIOkwMLN84JfA3zjnOgavc17vZ8p6QJ1zdzvnFjrnFlZUVKTqsOOr7kzoaIT2xiNuVlEQxkxXBiIyPpIKAzPLwguCnznnfuUXN/nNP/jLPX75TqBu0O61ftnhyienupH1G2QFA5TlpWd4aTSe4LmGvdz77Fai8cS4f7+IjL9RTzozMwPuAd50zn170KpHgGuBb/rLhweV32RmK/A6i9udc7vM7Angnwd1Gl8M3DLaemW8qpMglONNSjvx40fetGgcnoX8+gPw2v30/ckDPLN5H09saGLVW0209XjDXysKwnz05OEnyYnIxJbMDORzgD8H1pvZOr/s7/BC4AEzux54F/iEv+4x4BKgAegBrgNwzrWY2TeA/Q3pX3fOtSRRr8wWzIKa00bUiVxVGKGxtXfs6tLVTOI3XyQw0ME137iHtdE6CiIhLjy+kqUnVPK/Ht7Ao6/vUhiITAGjDgPn3LOAHWb1kiG2d8CNhznWvcC9o63LhFO3CJ7/vxDthaycw25WWRjhlXdbx64ev78VN9ANwKdqt5N//h+zeGYZ2SGv9fCFLftY8fIOuvpj5Id15xKRyUwzkNOh7kxIxOC9dUfcrKowQmvPGD3+cvtqWPcz7o5fyr7IsVyS9zYfOa7iQBAAXHbydPpjCVa92ZT67xeRjKIwSIfaM7zlME1FVf5cg4Y9Xan9/ngMHvsineFK7oxeQWj2efDu8xB7/2zn048poaowwn+9tmvo44jIpKEwSIe8ciidNeyIogvmTSMvO8gPnm5I7fevuRd2r+d290lOnjmdovkXQrQbdr7yvs0CAeOSk6p55u1mOvqGv5+SiExcCoN0qTvTuzI4wo3oyvLDXP/hmTy2fjfrG9tT871de+DJf6K16kP8tOMUrll0DMz4EGCw9b8/sPmlC6oZiCdYuUFNRSKTmcIgXeoWQc/eYR+P+akP11OSm8XtT7yVmu9deStEe7gz8imKc7NZekIV5JZC9cnwzgfD4LRjiqkpzuHR9WoqEpnMFAbpMsLJZwWRLD573mz+sHkvz2/Zm9x3vvsCvPZzes74LP+5OZs/OrWGSFbQWzfzXG/ugz+6aD8z45KTqvjD5mbae9RUJDJZKQzSpWIehAtHNN/gz886lqrCCLf/dtPon28Qj8FjX4LCWlZEPkE07rwmov3qz4VE1AuMQ1y2YDrRuOOJjbtH990ikvEUBukSCELtwiPftM456NhFJCvI5y+cw7odbazcOMq2+zX3QNMbuKW38Z+v7uX0Y0s4rrLg4PpjzoJgNmx9+gO7Lqgtoq40h0dfV1ORyGSlMEinujNhzwbo6xh6/aqvwx3zYftqrjq9lpnlefzr7zYRTxzl1UF/F/z3t6D+XF6KfIh3mru5+oy692+TnevV552nP7C7mXHpSdN5rmEvrXrYjsikpDBIp9ozwCU+MKQTgC1PwrPf9tY/czuhYIAvXHwcbzd18fC6o7yP30t3Q88+WPKPrFjTSEEkxGULhrjFRP25sHs9dO/7wKrLFlQTSzie2KCmIpHJSGGQTrULAftgJ3LXHvjVp71+hXO/Cg2/h8ZXuOTEak6YXsgdv3+bgdgI7yba3+nd+mL2RbSVLuDR9bu44pQacrKDH9x25rnectszH1h1wvRCZpTl8hs1FYlMSgqDdIoUwbT50DgoDBIJeOjT0N8BV/4Izv5ryCmBZ/6FQMD48tK57GjpZcXL20f2HS/dDb0tcN4tPLR2JwOxBFcvqht62+mnQXbBkENMzYxLF1Tz/Ja97OvSA3dEJhuFQbrtf/JZwv9L/4X/6zURLfs/UDkfwgWw+EZ4+3HY9RrnHlfBovpS7lzVQM9A7MjH7uvwrgrmXIyrOY0VL+1gQW0RJ0wvGnr7YAhmnDPk5DOAS0+aTsLB42+oqUhkslEYpFvdIuhvh72boHGN12l8/Mfg9OsObnPmDRAugmf+BTPjq8vmsrern689svHIQ01f+nfobYXzbmbtjjY2NXW+fzjpUOrPhZZ3oG3HB1YdX13AzIo8jSoSmYQUBulWd6a3bPg9PHgdFEyHj90JNuju4JEiWPwZePO/oGkDpx9byk3nz+YXa3Zw3/Pbhj5uXwc8/z2Ys5R49Wnc9fQWcrODwz+bYH+/wRBXB2bGZSdVs3rrPvZ06nGcIpOJwiDdSmdCbhn8/n9D+0648h6vj+BQZ34GsvPhmX8F4AsXHcdF8yv5xqNv8uzmIWYmr/536Gsjfu7NfPnB11i5sYnPLZkz/HMJps2HvIoh+w3Au611wsG5tz/NJ/7tBW57dCO/ef09drT0HNWEuN3tffzDr9ez/Lt/4Nu/28S2vd3D7yQiY8ZGPaM1zRYuXOjWrFmT7mqkxv3XwKbHYMk/woe/ePjtfv81ePYOuHE1VMylqz/Gx3/wHE0d/Tx84znMKM/ztutrh++cRKLuLL4QvJlfr3uPL1x0HJ9bMmdk9XnwL2Hbs/DFTe+/QvE983YzT23aw7odbWx4r+PAyKby/GzOnlXOZQuqOXduBeHQB0cs7e3q566nt/DTF98lkXCcWFPEa41tOAdnzCjhj0+r5ZIF1RRGskZWVxE5Kmb2inNu4QfKFQYZYMuTsPn3cPE/QeAIF2vde+E7J8HxH4WP3w3A9n09fOz7z1KeH+ahz55NQSQLnv4WPP3PfOvYu7lrUz5fXjqXG8+fPfL6vHIf/Nfn4LOrYdq8I246EEuwaXcn63a0snZ7G09u2kNbT5SCcIiLTqjkowumc87scnoGYtz9zDv86Llt9Mfi/PFptXxuyRzqSnPZ1d7LQ2t38uArjbzT3E04FGD5iVV8edk8aooP/yQ4ETl6CoPJ4om/hxd/ADetgbJZADy/ZS9/fs9LnHdcBXd/YjaBO09mffAEPrbvJm5ePo/PnDvr6L6jdRt892RYfjuc+emj2jUaT/Bcw15+8/ountiwm86+GEU5WSQSjq6BGB9dMJ3PXziHWaURePLrsPERuOwOmHU+zjnW7Wjjl6828qtXd5IVDHD7lQu8O6uKSEooDCaLzib47gI48Uq44vsHin/6/Fa+/ciL3DXjDyze/TMu7f9nrli+nE99ZObovuc7C6DyRLjm56Ouao3628cAAAyKSURBVH8szh/e3suj63fhnOMz581iXlWhN8P5weu8Tuq8Cu+K57xb4CNf8u7ZBGzd281f3/8qb+zs4C/OnsHNy+cdvMOqZAbnIBH3hiQfKHJseK+DTbs7OWd2+YGn9UnmUBhMJo9/FV76Dzj+Mi8cOt/Dde7G4t59g34bP4OdS/+D6z9UP/rveOSvYcPD8JV33vePPWm7XoMV/wO6muCyb8MJfwS/+QK8vgJmng8f/w/IrwC8MPnW45u497mtzK8u5Ht/eiozK/JTV5cRSiQcm5o6WbejjYr8MItmlk7tPo3ufbDuP2HNj6BtOxTX0V9Yz+ZYBX/YV8RLHcVsd9PY7Uo57phqlp1QxdITqg72aUlaKQwmk45d8ONLwAJQUO2/qojlV7PizSjh+cu56qzjkvuOjQ/DA5+EojqYd5nXT3HM4gN/uY/Ka7/w+iJyy+BPfgo1p3vlzsHan8JjX/ZGUl15Lxx79oHdVr3ZxJf+32v0xxJ84/ITuXB+JV39Mbr6YnT1R+nqj9PVFyNgkB8JkR8OURDJosB/HwwY7b3Rg68eb9kbjVOYk0VRThbFOVkU52ZRHMkiHIixvqmPl7e18PLWFta820pn38EJfgGDE6YXcdasMhbPLOWMGaVeX81k5hxsf9F7ZOrGX0N8gFjdWWyJnEhL42byut9lhu2m0Hrft1sPOexKFLPHldAbqaBw2rFULVhCzakXYdkKh3TI+DAws2XAd4Eg8EPn3DePtP2UDoPx4By8/gBseMjr4I73e0068y6FeR+F8tmQU+rNkB5ixNH7xKOw8h+9vo5jPwRX/fjAX//vs3s9PHCt12dx3s1Qc5rXDJGI0drVw4+f3cLWPR1ECdFLNr0u4i0J00s2BfRSY3uptWZqbO+BVwE99BKmhzC9LkwPEboJE3MhiqybEuukmC6KrYtiughbjFaXz7tuGi3ZtbjSegqnH0fNzPk0xQp4+b1+nt/Ry0uNffTEAwQMZk/LZ0ZZHvXlecwo95b15XlMKwhjw/33yTSJhHfl1rbde7Vugw2/gj0biWXls650OT/qP5/Hm4pJOKgtyeHjp9bwR6fWUJ/b501abN0Gnbuhczc9+xppb96Ode6mJNZM2GL0k83OotOJzF9K9cKPYWVH2a81hnoGYrzT3E3Dni7iCceM8jxmludRkped7qqlREaHgZkFgbeBi4BG4GXgGufcxsPtozAYR/2dsPl33qS3t38H0UFzAgJZ3l/zuaVeOAAMdHlPTBvoPvgeB2f+FVz8DQge4a/ovg6viWrjr5OqcjwQpiunmo7sKvpCBeTQT8T1k+36yIr3Eor3EkhEiYWLGMgqojdURHewkE4roJsItcE2quK7yWrfCu07vLvHDiERyKY/EKGLXFoSeTTHcml1ebS6AtrIo8/yyImEyY1EyM3NIT8nQkFuDnn5+eQUlJJbUklByTSKSivJzhn0l3Ii7g0R7m31X23eVVlOsTcJMeIv91+pJRLe/az6O7z9+tqhrwPX34Hr6yTR14Hr78T1d0J/F4lYP4lYFBf3X7EoLt5PqLuJcM97BBPvf6pdQ2g29/Sdz69jZxEL5nBqXQmLZ5by4eMqOP2YEgKBkQXentY2Xn/ucaJvPcHczheZad5s9pZwDYncCkLECREj6OIEXZSgi+EsSDwYIRoIM2ARBsz7A2AgkEsitwzLKydYUEF24TQixZXkFFWQnZVNdihEIBgEC3pX0Wa4nha6W3bR1bKLvrYmoh1NxLv20tEf572+MNt7QuzoyaLD5dJJLnEXJGIDRBigODtBbb5RnQflEUfEYmRblLDFCBMly6+7C2YRtzDxYDbxQDYJ/0UwTCAri0Awm2BWNsGQtwwFjJAlCBInaI6QixMkQSw2QE9PDz09PfT39dDX18tAXy+xgV7O/My/YaNsvs30MDgL+N/OuaX+51sAnHP/53D7KAzSJNoH7z4HHe/5v6RaoKfFX7Z6VwnZ+ZCd57/yIZzv3QRv7rKRfYdzsPt1iPV7v+wCoYMvC3pXKdFeiPYcXA70eN9XXAdFx0Be+fBXLCMVG/D/Qt7q/VIe6PK/s/vgq78DeltxPa3EuvdBbyvB/nYCjPDuskCvy6YrkE/E9VPAyCbhdZODI0AuPQQ48r/lmAvQSS7dRIi6IDHv1y5Rgv4yRLMrptFV0OjKaXTl7GYa7eEqaqaV+81iZZx2TMnQd709Si3dAzz/8su0vvYoVftWk+N6iRF6X32iBAmSIAfvF/L+X8w59JNvvZTRSdiSexxru8slgKPgkCaukep3IQbIYoAQcYJkESObKBEGCFpqf7/2uSwGLIvAlzaRn184qmNkehhcCSxzzv1P//OfA2c65246ZLsbgBsAjjnmmNPffffdca+ryIglEt5VVDwKiRjEo7j4AF29fbS0d9Ddto++jj0MdO4j0b0PeloI9LfTbxF6Q4X0BgvpCxXSFyqgL1RIgDjhaAfZsS5y4p2EY51E4l0EiNMfKmQgVEA0q4BoViGx7ELiWXnEsrxlPCsfF4wQCgYIBIzsUICw/8oOBsgOea/9/S2FEW8ZyQqMSzNX70Ccfd39dPbF/Ff0wNLMKPL7dga/QkGjvWeAzo42etp2M9C+h1hnM/GeVhLxmPdKxEnE/VciDjklhAorCRdVklNcRUFpJaVF+UwriBAk4V0F97UfvMJKxCCUA1mRQcsILhSm32XRlwjSF3P0RuP0ReP0xxIY3t8hATNIxAgmogTi/SRiA0SjfUSjA8SjUeLRfmLRAeLOMZAwYi5ANGEM+MtgKJvCgnyKC/IpLiygrCCPkvwwWcHkbhxxuDBI4TCRseecuxu4G7wrgzRXR+TIAgGvT2UQAwqAgpq01Chj5WQHqc3OPer9CiJZUJoHpOI/qN8Ml1M87JYGRPzXZJEp9ybaCQy+yX6tXyYiIuMgU8LgZWCOmdWbWTZwNfBImuskIjJlZEQzkXMuZmY3AU/gDS291zm3Ic3VEhGZMjIiDACcc48Bj6W7HiIiU1GmNBOJiEgaKQxERERhICIiCgMRESFDZiCPhpk1A6OdglwODPHg4ElP5z216LynlpGe97HOuQ/cKXLChkEyzGzNUNOxJzud99Si855akj1vNROJiIjCQEREpm4Y3J3uCqSJzntq0XlPLUmd95TsMxARkfebqlcGIiIyiMJARESmVhiY2TIz22RmDWZ2c7rrM5bM7F4z22NmbwwqKzWzlWa22V+WpLOOY8HM6szsKTPbaGYbzOzzfvmkPnczi5jZS2b2mn/eX/PL681stf8z/wv/FvGTjpkFzWytmf3G/zzpz9vMtpnZejNbZ2Zr/LJR/5xPmTAwsyDwfWA5MB+4xszmp7dWY+rHwKEPHb4ZWOWcmwOs8j9PNjHgi865+cBi4Eb///NkP/d+4ALn3MnAKcAyM1sMfAu4wzk3G2gFrk9jHcfS54E3B32eKud9vnPulEHzC0b9cz5lwgBYBDQ4595xzg0AK4DL01ynMeOcewZoOaT4cuA+//19wBXjWqlx4Jzb5Zx71X/fifcLooZJfu7O0+V/zPJfDrgAeNAvn3TnDWBmtcClwA/9z8YUOO/DGPXP+VQKgxpgx6DPjaTmwakTSaVzbpf/fjdQmc7KjDUzmwGcCqxmCpy731SyDtgDrAS2AG3OuZi/yWT9mf8O8BUg4X8uY2qctwN+Z2avmNkNftmof84z5uE2Mr6cc87MJu24YjPLB34J/I1zrsP7Y9EzWc/dORcHTjGzYuAhYF6aqzTmzOwyYI9z7hUzOy/d9RlnH3LO7TSzacBKM3tr8Mqj/TmfSlcGO4G6QZ9r/bKppMnMqgH85Z4012dMmFkWXhD8zDn3K794Spw7gHOuDXgKOAsoNrP9f/RNxp/5c4CPmdk2vKbfC4DvMvnPG+fcTn+5By/8F5HEz/lUCoOXgTn+KINs4GrgkTTXabw9Alzrv78WeDiNdRkTfnvxPcCbzrlvD1o1qc/dzCr8KwLMLAe4CK+/5CngSn+zSXfezrlbnHO1zrkZeP+mn3TO/RmT/LzNLM/MCva/By4G3iCJn/MpNQPZzC7Ba18MAvc6525Lc5XGjJndD5yHd1vbJuBW4NfAA8AxeLf//oRz7tBO5gnNzD4E/AFYz8E25L/D6zeYtOduZgvwOgyDeH/kPeCc+7qZzcT7i7kUWAv8D+dcf/pqOnb8ZqIvOecum+zn7Z/fQ/7HEPBz59xtZlbGKH/Op1QYiIjI0KZSM5GIiByGwkBERBQGIiKiMBARERQGIiKCwkBERFAYiIgI8P8BmTgjF167R3EAAAAASUVORK5CYII=\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "predictions_custom = model_custom.predict(X_test)\n", - "r2_score(y_test,predictions_custom.flatten())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "ocscC_kQjYlf", - "outputId": "2fc8af96-f72f-49ec-c3b8-f541c7734a13" - }, - "execution_count": 8, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "0.9775394903631225" - ] - }, - "metadata": {}, - "execution_count": 8 - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_200155.ipynb b/Assignment 2/A2_200155.ipynb deleted file mode 100644 index 0d8fcbf..0000000 --- a/Assignment 2/A2_200155.ipynb +++ /dev/null @@ -1,1106 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "UxcaEbrCy1g_" - }, - "source": [ - "# Assigment 2: Deep Learning" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "h2JON-_Oy79w" - }, - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "fjPrVThAfEEr", - "outputId": "fd4aba9b-64a6-4c58-a33b-6027fd36ec57" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(100, 5)\n" - ] - } - ], - "source": [ - "print(X.shape)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r6it-Rm7zD1Y" - }, - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "id": "UautPVj1yzaQ", - "outputId": "ea54d42c-d99f-4f44-bedf-7a947487c6a7" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 126 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.scatter(X[:,0], y, c ='black')\n", - "# Your code here" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "id": "8-kq7b9HfLyu", - "outputId": "2ca46a9b-87a7-49f1-a3bf-46bc8e43c48f" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 127 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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NaFeEBdIzi4vFgXNh4XK32vJyFjBPn87O/A8eDDO3hL8YtCg8AQDt1+/g1c1s/RWAtPYAl7ING4o/HwJkqw0KAHQBof3KEpGdrqXbb6cLo5/l5SwAFKGPP2oEAFSnqYFC/Q5SCwuXK4O+/OV2jI2Ytk73WdGCPwTI6BEAUI1xBgpVFTDe+tbi7bt2rb3fhrER09ZvMaCZGQJkAsgBoBrDJBG7FSVuZ2dHP+gsL0t799K/Py76/qNGEhjTMeqBZNSA0U9ZApiD2GBVfQ8IEklgjGfU7plRBwpVNbK07PkxJDDrzqtQ3580AgDWG6c/f9QDSVUjS/s936z9B7FpTMDWlokDUY+y5cJCubEkZA3KllEcd53UUZZmrGoZyqL3McsWsW+7yNerRf3EmsBYZ9DBd1rrpFa1lm+sawJHvl4t6jcoANAFlKJBU/tOa+KvTlnmt76V3d+7d7x+7ljLO5mADTUjAKRoUAJ2molBFhrpjwQtakYASEFvJcnVVxc/r3NmOc3EIAuN9EeCFjVjHEDsigZcbdyYnW3/+c+Xt40zCKsKDEQCasM4gNQVnWFfuCC96U1hnFnSzw005g1NNwA169ff/+qr0rlz021LkYMHi6eEoJ8bqB1XALEL/Qybfm6gMQSA2LWhkiTWMk4gcASA2HGGDaCPiQKAmX3czE6Y2etmttTz2H1mtmpmz5rZB7u278y3rZrZvZP8fQyJM+x2a2qhHURv0iTw05I+Julfuzea2Q5JN0t6m6S/k/Swmf19/vD9kj4g6Yykx83smLs/M2E7gDj1lvF2BspJBHJMbKIrAHc/6e7PFjy0W9ID7v4nd/+VpFVJ1+e3VXd/3t0vSHogfy6AIgyUQ43qygFslvRC1/0z+bZ+29cxs/1mtmJmK2fPnq2pmUDgqlo3ASgwMACY2cNm9nTBrdYzd3c/5O5L7r40Pz9f558CwhV6GS9abWAOwN1vHON9X5S0tev+lnybSrYD6MVAOdSori6gY5JuNrM3mtm1krZL+pmkxyVtN7NrzWyjskTxsZraALQfZbyo0aRloB81szOS3iPpB2b2kCS5+wlJD0p6RtJ/SrrL3S+5+0VJd0t6SNJJSQ/mzwXCEGLJJWW8qAmzgQIdRTOnNjVLKlABZgMFhkXJJRJDAAA6KLlEYggAQAcll0gMAQDoaMPMqUCFCABAxygllyFWCwEjYkUwoNuePYMrfpigDZHgCgAYFdVCiAQBIHTjdjWk2kUxyn6P+xlRLYRYuHvwt+uuu86TdPSo++ysu3T5Njubba/jdW03yn5P8hktLKx9Xee2sFD1HgETkbTiJcdWRgKHbHEx61/utbCQTQlQ9evabpT9nuQzYsQwWoKRwG02bldDql0Uo+z3JJ8RE7QhEgSAkPUbgLRhQ3m/daoDmkbZ70k/IyZoQwQIACErGpgkSZcuZb3Op05Jt9wibdq0NhDEOKBpmITtKPsd42cEjKosQRDKLdkksHuWlFxYcDdzn5kpTj4WJTC7X7ew0O4E8KjJ3WH3O6bPCCggksAR2bAhO/z1E2uSN9WkNjAhksAxGdQ/HWuSN9WkNlAzAkCb9MsJdMSa5E01qQ3ULO4AENto2E754dzc+sdiTmCSsAVqEW8A6AzWOXXqcsXM/v1xBIFz56SjR9OpQ6fuHqhFvElgEocAEpduEpjEIQCUijcAkDgEgFLxBgAShwBQKt4AQOIQAErFvSTkMMv7AUCi4r0CAACUIgAAQKIIAACQKAIAACSKAAAAiSIAAECiJgoAZvZ5M/uFmT1lZt8zs6u6HrvPzFbN7Fkz+2DX9p35tlUzu3eSvw+sEdvsr0DNJr0COC7p7e7+Dkm/lHSfJJnZDkk3S3qbpJ2SvmxmM2Y2I+l+STdJ2iHpE/lzgcnUNfsrQQURmygAuPuP3f1ifvcxSVvy33dLesDd/+Tuv5K0Kun6/Lbq7s+7+wVJD+TPBSZz4IB0/vzabefPZ9vHFeuU4kCuyhzAbZJ+lP++WdILXY+dybf1276Ome03sxUzWzl79myFzUSU6pj9tY6gAgRkYAAws4fN7OmC2+6u5xyQdFFSZadG7n7I3ZfcfWl+fr6qt0Ws6pj9lSnFEbmBcwG5+41lj5vZpyR9SNL7/fLqMi9K2tr1tC35NpVsB8Z38GDWPdN9xj7p7K/bthUvKsSU4ojEpFVAOyV9TtKH3b37WvmYpJvN7I1mdq2k7ZJ+JulxSdvN7Foz26gsUXxskjYAkuqZ/ZUpxRG5SWcD/ZKkN0o6bmaS9Ji73+7uJ8zsQUnPKOsausvdL0mSmd0t6SFJM5IOu/uJCdsAZKqe/bXzXgcOZN0+27ZlB39mmEUk4l0TGAASl+6awACAUgQAAEgUAQAAEkUAAIBEEQAAIFEEAABIFAEAABJFAACARBEAACBRBAAASBQBAAASRQAAgESlEwBY2xUA1ph0Ouh26Kzt2lkspLO2q8TUvgCSlcYVAGu7AsA6aQQA1nYFgHXSCAB1LBiOdiMnBCQSAFjbFd06OaFTpyT3yzkhggASk0YAqGPBcLQXOSFAEmsCI0UbNmRn/r3MpNdfn357gJqwJjDQi5wQIIkAgBSREwIkEQCQInJCgKRURgIDvfbs4YCP5HEFAACJIgAAQKIIAACQKAIAACSKAAAAiWrFSGAzOyvpVNPtGGCTpHNNN2JKUtlX9jM+qexrZz8X3H2+35NaEQDawMxWyoZcxySVfWU/45PKvg67n3QBAUCiCAAAkCgCQHUONd2AKUplX9nP+KSyr0PtJzkAAEgUVwAAkCgCAAAkigBQITP7vJn9wsyeMrPvmdlVTbepDmb2cTM7YWavm1l0JXVmttPMnjWzVTO7t+n21MXMDpvZy2b2dNNtqZOZbTWzR83smfzf7T1Nt6kuZvZXZvYzM/vvfF//uez5BIBqHZf0dnd/h6RfSrqv4fbU5WlJH5P0k6YbUjUzm5F0v6SbJO2Q9Akz29Fsq2rzDUk7m27EFFyU9Fl33yHpBkl3Rfyd/knS+9z9HyW9U9JOM7uh35MJABVy9x+7+8X87mOStjTZnrq4+0l3f7bpdtTkekmr7v68u1+Q9ICk3Q23qRbu/hNJrzbdjrq5+0vu/vP899cknZS0udlW1cMzf8jvXpHf+lb6EADqc5ukHzXdCIxss6QXuu6fUaQHixSZ2aKkd0n6abMtqY+ZzZjZk5JelnTc3fvuKyuCjcjMHpb0twUPHXD37+fPOaDssnN5mm2r0jD7CbSJmV0p6TuSPuPuv2+6PXVx90uS3pnnIL9nZm9398I8DwFgRO5+Y9njZvYpSR+S9H5v8SCLQfsZsRclbe26vyXfhhYzsyuUHfyX3f27TbdnGtz9/8zsUWV5nsIAQBdQhcxsp6TPSfqwu59vuj0Yy+OStpvZtWa2UdLNko413CZMwMxM0tcknXT3LzTdnjqZ2Xyn+tDM/lrSByT9ot/zCQDV+pKkv5F03MyeNLOvNt2gOpjZR83sjKT3SPqBmT3UdJuqkifx75b0kLJk4YPufqLZVtXDzL4t6b8k/YOZnTGzTzfdppq8V9JeSe/L/18+aWa7mm5UTd4i6VEze0rZycxxd/+Pfk9mKggASBRXAACQKAIAACSKAAAAiSIAAECiCAAAkCgCAAAkigAAAIn6fzpUv3TBgwm0AAAAAElFTkSuQmCC\n" 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gpz43g3JI+yAJk1IJqZwYck2xhQzYqc/NoByCP5IwqWdKjrmeaQP2sJNu6nMzKIdTNZIwrmdaNWWR25dqtGGa+YpR8wSSsk1/4XX0/JGEcT3TKikLKlGGm6akdNxJl2sQ8kfwRxLGpRJGrXg5LGXRtbWOQqo6X8HEbrcR/DGV0BOwk3qmZXPMBKxwmNjtNoI/KmsqtTKqZ1olZZFCwEqlMmmYKm1jYrfbCP6oLEZqpWzKInbASnnOoWrbmlh6ItaJMeUTciwEf1SWcmol9lo5Kc85TNO2kNc1xDoxpnxCjongj8pSSK2ME/NCrJRPjLHbFuvEmPIJOSaCPyoLnVrp0pA85RNjnbaFeI1inXxin/RSFf8dieyEXOOma99BnPLib9O2LdRrFOuLh7r0hUch0fPHVEKlVuoOyVMbNcSecxhn2raFSpvEmoyPXQSQKoI/oqozJE91Ii/lxd+maVuotEmsE2PKJ+SYCP6Iqk4eOrWJvNRGIaGEnMeIdWJM+YQcS7+TXoiuTo48pYm8rs1dDEp5HgPTo+ePqOoMyVOqrBk1Cll+aFnL/7mc9UiAtEk3EfwR3bRD8pQm8kaONvz121OYj5gWaZPuIe2DbKX0tYqlRht8zy0SQs8fWUulRzp0FDJE3y8sQjoI/kAAm/PiMm2kfAb1/cIipIPgDwQyOArZfA2CJCpkkBSCP9AAKmSQulrB38w+LumfJf25pBvcfXHgtrsl3SrpNUl3uPvRYvteSV+VdJmkb7j7vXXagLi6emFTCKnMRwDD1O35Py3pY5L+Y3Cjme2WdLOkt0l6i6SHzeytxc33SXq/pNOSHjOzI+7+TM12IIJUl1cAMFmt2Sd3f9bdnxty035Jh919xd1/LemkpBuKfyfd/Xl3f1XS4eK+yNC45RUApK2p0oNtkk4N/H662DZq+yXM7ICZLZrZ4pkzZxpqJupIaXkFANVMDP5m9rCZPT3kX6M9dnc/5O4L7r6wdevWJp8KU2KddCBfE3P+7v6+KR73RUk7Bn7fXmzTmO3ITErLKwCopqku2hFJN5vZrJldL2mXpF9IekzSLjO73swu19qk8JGG2oCGpbS8AoBq6pZ6flTSv0naKumHZvaku3/A3U+Y2YOSnpF0QdJt7v5a8Te3SzqqtVLP+939RK09QFSUM2IalAjHZ+5DrkFPzMLCgi8uLk6+I4Dkjbr6mVFjeGb2uLsvDLuNmTkAraJEOA0EfwCtokQ4DQR/AK2iRDgNHG0AreI7gdPAqp7AFKhWmR4rnqaB4A9UxIJ29VEiHB9pH6AiqlXQBfT8sSFGKiPH9EmsapVhx0oifYLpEPwhKU4qI9f0ycz8zNBA32S1ytBjdWR57buCXxvYlsHxQxpI+0BSnFRGrumTGNUqQ4/VqjYC/4YMjh/SQM8fkuKkMnK92CdGtUqVY5L68UMaCP6QFCeVEeM5QwldrTJp7mPUsRomh+OH+Aj+kBRnbX6+D2BNmbmPocdqRhfl/CXVPn45TsB3VdOvBcEfkuKkMrjYZ824uY/1YzHqWA3bNu3xy3UCvovaeC0I/tgQ48IbLvYpP/cx6liFOn5lTkJoRxuvBclBILJUFjrLdQK+i9p4LQj+QGSpLHSWykkI7bwWpH2AQqzJzlTmPpiAT0cbrwXBH1D8yc4U5j5SOQmhndeC4A+Iyc51KZyEsKbp14JkHiAmO9E/BH9ATHaif3hnA0qn4gZoCzl/QEx2on8I/kCByU70CWkfAOghgj8A9BDBHwB6iOAPAD1E8AeAHiL4A0AP1Qr+ZvZlM/ulmT1lZj8ws6sGbrvbzE6a2XNm9oGB7XuLbSfN7K46zw/kYOX4ipYOLunsPWe1dHBJK8dXYjcJqF3nf0zS3e5+wcz+VdLdku40s92Sbpb0NklvkfSwmb21+Jv7JL1f0mlJj5nZEXd/pmY7gCQ1sVoo37OLEGr1/N39J+5+ofj1UUnbi5/3Szrs7ivu/mtJJyXdUPw76e7Pu/urkg4X9wU6adxqodNYP5msLzi3fjJhNIGqQub8Pyvpx8XP2ySdGrjtdLFt1PZLmNkBM1s0s8UzZ84EbCbQntCrhYY+maC/JgZ/M3vYzJ4e8m//wH2+JOmCpAdCNczdD7n7grsvbN26NdTDAq0KvVooS08jlIk5f3d/37jbzewWSR+SdKO7e7H5RUk7Bu62vdimMduBzgn9dXwz8zNDAz1LT6OqutU+eyV9UdKH3X154KYjkm42s1kzu17SLkm/kPSYpF1mdr2ZXa61SeEjddoApGx2z6zm9s1tBOeZ+RnN7ZubeoKWpacRSt1qn69JmpV0zMwk6VF3/zt3P2FmD0p6RmvpoNvc/TVJMrPbJR2VdJmk+939RM02AEkLuVooS08jFHs9U5OuhYUFX1xcjN0MAMiKmT3u7gvDbiNRCAA9RPAHgB4i+ANADxH8AaCHCP4A0EMEfwDoIYI/APQQwR8AeojgDwA9RPAHgB4i+ANADxH8AaCH6q7qCTSK76sFmkHwR7Ka+PJzAGtI+yBZfF8t0ByCP5LF99UCzSHtg2TxfbXVMUeCsvgUIVl8X20163Mk6yfM9TmSleMrkVuGFBH8kazQX37edcyRoArSPkhayC8/7zrmSFAFPX+gI0bNhTBHgmF4VwAdwRwJqiDtA3TEenqMah+UQfAHOoQ5EpRF2gcAeojgDwA9RPAHgB4i+ANADxH8AaCHzN1jt2EiMzsj6YXY7ShcI+l3sRsREfvf7/2XOAY57f+fuPvWYTdkEfxTYmaL7r4Qux2xsP/93n+JY9CV/SftAwA9RPAHgB4i+Fd3KHYDImP/0fdj0In9J+cPAD1Ezx8AeojgDwA9RPCvyMy+bGa/NLOnzOwHZnZV7Da1zcw+bmYnzGzVzLIveSvLzPaa2XNmdtLM7ordnraZ2f1m9rKZPR27LTGY2Q4ze8TMnine/5+L3aY6CP7VHZP0F+7+dkn/K+nuyO2J4WlJH5P0s9gNaYuZXSbpPkk3Sdot6ZNmtjtuq1r3LUl7YzcioguSvuDuuyW9W9JtOb8HCP4VuftP3P1C8eujkrbHbE8M7v6suz8Xux0tu0HSSXd/3t1flXRY0v7IbWqVu/9M0v/Fbkcs7v6Suz9R/PwHSc9K2ha3VdMj+NfzWUk/jt0ItGKbpFMDv59Wxh981GNmOyW9Q9LP47ZkenyT1xBm9rCkPx5y05fc/aHiPl/S2jDwgTbb1pYyxwDoIzN7g6TvSfq8u/8+dnumRfAfwt3fN+52M7tF0ock3egdvVBi0jHooRcl7Rj4fXuxDT1iZlu0FvgfcPfvx25PHaR9KjKzvZK+KOnD7r4cuz1ozWOSdpnZ9WZ2uaSbJR2J3Ca0yMxM0jclPevuX4ndnroI/tV9TdIbJR0zsyfN7N9jN6htZvZRMzst6S8l/dDMjsZuU9OKSf7bJR3V2kTfg+5+Im6r2mVm35X0P5L+zMxOm9mtsdvUsvdI+pSkvy4++0+a2QdjN2paLO8AAD1Ezx8AeojgDwA9RPAHgB4i+ANADxH8AaCHCP4A0EMEfwDoof8HpgC1dmpcfbkAAAAASUVORK5CYII=\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "plt.scatter(X[:,4], y, c ='black')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "XMXb9lTyzGHE" - }, - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "r32N1xK2ziOs", - "outputId": "e701c870-e555-4e81-cb5d-bd992db7af67" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_23\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense_36 (Dense) (None, 5) 30 \n", - " \n", - " dense_37 (Dense) (None, 5) 30 \n", - " \n", - " dense_38 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 66\n", - "Trainable params: 66\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "[, , ]\n", - "Epoch 1/100\n", - "2/2 [==============================] - 1s 196ms/step - loss: 11442.6602 - mse: 11440.4521 - val_loss: 11834.9062 - val_mse: 11832.7129\n", - "Epoch 2/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 11429.4961 - mse: 11427.3008 - val_loss: 11837.4834 - val_mse: 11835.2891\n", - "Epoch 3/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 11419.3477 - mse: 11417.1543 - val_loss: 11837.0518 - val_mse: 11834.8477\n", - "Epoch 4/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 11404.7764 - mse: 11402.5654 - val_loss: 11850.2324 - val_mse: 11848.0078\n", - "Epoch 5/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 11384.4609 - mse: 11382.2275 - val_loss: 11850.4854 - val_mse: 11848.2168\n", - "Epoch 6/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 11337.3447 - mse: 11335.0420 - val_loss: 11852.8721 - val_mse: 11850.5098\n", - "Epoch 7/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 11247.1436 - mse: 11244.7461 - val_loss: 11844.7471 - val_mse: 11842.2021\n", - "Epoch 8/100\n", - "2/2 [==============================] - 0s 36ms/step - loss: 11018.1680 - mse: 11015.5547 - val_loss: 11601.4453 - val_mse: 11598.5605\n", - "Epoch 9/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 10393.5176 - mse: 10390.4590 - val_loss: 10497.3555 - val_mse: 10493.8115\n", - "Epoch 10/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 8515.9678 - mse: 8512.0879 - val_loss: 7851.2812 - val_mse: 7846.6396\n", - "Epoch 11/100\n", - "2/2 [==============================] - 0s 39ms/step - loss: 5604.2622 - mse: 5599.3101 - val_loss: 4448.8042 - val_mse: 4443.1377\n", - "Epoch 12/100\n", - "2/2 [==============================] - 0s 59ms/step - loss: 2638.2891 - mse: 2632.2268 - val_loss: 681.0367 - val_mse: 674.1094\n", - "Epoch 13/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 1791.1497 - mse: 1784.6543 - val_loss: 1682.6844 - val_mse: 1676.5535\n", - "Epoch 14/100\n", - "2/2 [==============================] - 0s 72ms/step - loss: 1259.6608 - mse: 1253.0369 - val_loss: 736.9008 - val_mse: 730.4541\n", - "Epoch 15/100\n", - "2/2 [==============================] - 0s 80ms/step - loss: 322.7244 - mse: 316.1204 - val_loss: 534.9032 - val_mse: 527.7333\n", - "Epoch 16/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 470.7136 - mse: 463.8461 - val_loss: 266.0479 - val_mse: 259.1320\n", - "Epoch 17/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 198.8936 - mse: 192.0239 - val_loss: 232.9439 - val_mse: 226.0717\n", - "Epoch 18/100\n", - "2/2 [==============================] - 0s 70ms/step - loss: 252.4654 - mse: 245.5958 - val_loss: 317.0913 - val_mse: 310.1626\n", - "Epoch 19/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 343.9730 - mse: 337.0604 - val_loss: 425.7545 - val_mse: 418.8899\n", - "Epoch 20/100\n", - "2/2 [==============================] - 0s 47ms/step - loss: 627.7736 - mse: 620.8016 - val_loss: 1153.6525 - val_mse: 1146.7439\n", - "Epoch 21/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 1435.3372 - mse: 1428.3516 - val_loss: 1303.8165 - val_mse: 1296.9901\n", - "Epoch 22/100\n", - "2/2 [==============================] - 0s 49ms/step - loss: 710.3646 - mse: 703.4918 - val_loss: 299.1694 - val_mse: 292.2016\n", - "Epoch 23/100\n", - "2/2 [==============================] - 0s 50ms/step - loss: 197.8101 - mse: 190.7716 - val_loss: 135.6752 - val_mse: 128.4780\n", - "Epoch 24/100\n", - "2/2 [==============================] - 0s 49ms/step - loss: 161.7744 - mse: 154.5998 - val_loss: 169.1875 - val_mse: 162.1224\n", - "Epoch 25/100\n", - "2/2 [==============================] - 0s 46ms/step - loss: 162.3691 - mse: 155.2381 - val_loss: 157.0821 - val_mse: 149.9161\n", - "Epoch 26/100\n", - "2/2 [==============================] - 0s 54ms/step - loss: 176.6609 - mse: 169.4270 - val_loss: 83.1771 - val_mse: 75.9789\n", - "Epoch 27/100\n", - "2/2 [==============================] - 0s 48ms/step - loss: 121.7237 - mse: 114.5068 - val_loss: 93.0659 - val_mse: 85.7827\n", - "Epoch 28/100\n", - "2/2 [==============================] - 0s 58ms/step - loss: 152.3679 - mse: 145.0914 - val_loss: 135.5043 - val_mse: 128.3081\n", - "Epoch 29/100\n", - "2/2 [==============================] - 0s 57ms/step - loss: 215.6359 - mse: 208.3338 - val_loss: 72.6032 - val_mse: 65.1524\n", - "Epoch 30/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 250.6693 - mse: 243.3834 - val_loss: 74.7582 - val_mse: 67.3636\n", - "Epoch 31/100\n", - "2/2 [==============================] - 0s 47ms/step - loss: 108.1216 - mse: 100.7483 - val_loss: 95.2127 - val_mse: 87.8701\n", - "Epoch 32/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 68.2923 - mse: 60.9319 - val_loss: 83.8772 - val_mse: 76.4706\n", - "Epoch 33/100\n", - "2/2 [==============================] - 0s 57ms/step - loss: 80.4103 - mse: 73.0227 - val_loss: 89.5124 - val_mse: 82.0730\n", - "Epoch 34/100\n", - "2/2 [==============================] - 0s 40ms/step - loss: 54.4226 - mse: 47.0066 - val_loss: 73.6749 - val_mse: 66.2443\n", - "Epoch 35/100\n", - "2/2 [==============================] - 0s 48ms/step - loss: 62.1947 - mse: 54.7768 - val_loss: 76.8291 - val_mse: 69.2661\n", - "Epoch 36/100\n", - "2/2 [==============================] - 0s 39ms/step - loss: 54.6004 - mse: 47.1020 - val_loss: 58.4782 - val_mse: 50.9357\n", - "Epoch 37/100\n", - "2/2 [==============================] - 0s 65ms/step - loss: 55.7770 - mse: 48.2954 - val_loss: 59.4923 - val_mse: 51.9229\n", - "Epoch 38/100\n", - "2/2 [==============================] - 0s 46ms/step - loss: 36.5092 - mse: 29.0032 - val_loss: 62.0320 - val_mse: 54.5793\n", - "Epoch 39/100\n", - "2/2 [==============================] - 0s 56ms/step - loss: 37.4781 - mse: 29.9959 - val_loss: 58.7287 - val_mse: 51.1999\n", - "Epoch 40/100\n", - "2/2 [==============================] - 0s 56ms/step - loss: 46.9801 - mse: 39.4666 - val_loss: 70.3168 - val_mse: 62.8367\n", - "Epoch 41/100\n", - "2/2 [==============================] - 0s 51ms/step - loss: 40.1108 - mse: 32.6099 - val_loss: 65.8443 - val_mse: 58.2703\n", - "Epoch 42/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 58.2797 - mse: 50.7583 - val_loss: 83.6881 - val_mse: 76.0193\n", - "Epoch 43/100\n", - "2/2 [==============================] - 0s 117ms/step - loss: 121.2103 - mse: 113.6867 - val_loss: 63.8268 - val_mse: 56.1907\n", - "Epoch 44/100\n", - "2/2 [==============================] - 0s 57ms/step - loss: 47.9453 - mse: 40.3664 - val_loss: 73.5663 - val_mse: 66.0393\n", - "Epoch 45/100\n", - "2/2 [==============================] - 0s 69ms/step - loss: 33.8667 - mse: 26.3172 - val_loss: 54.4576 - val_mse: 46.8803\n", - "Epoch 46/100\n", - "2/2 [==============================] - 0s 76ms/step - loss: 39.8401 - mse: 32.2677 - val_loss: 54.7523 - val_mse: 47.2121\n", - "Epoch 47/100\n", - "2/2 [==============================] - 0s 56ms/step - loss: 35.0196 - mse: 27.4547 - val_loss: 51.0725 - val_mse: 43.5191\n", - "Epoch 48/100\n", - "2/2 [==============================] - 0s 67ms/step - loss: 41.2500 - mse: 33.6689 - val_loss: 55.0954 - val_mse: 47.5269\n", - "Epoch 49/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 40.9848 - mse: 33.4287 - val_loss: 71.6360 - val_mse: 64.0068\n", - "Epoch 50/100\n", - "2/2 [==============================] - 0s 61ms/step - loss: 57.6877 - mse: 50.1185 - val_loss: 57.2888 - val_mse: 49.7100\n", - "Epoch 51/100\n", - "2/2 [==============================] - 0s 73ms/step - loss: 33.8508 - mse: 26.2731 - val_loss: 56.3567 - val_mse: 48.7462\n", - "Epoch 52/100\n", - "2/2 [==============================] - 0s 56ms/step - loss: 34.4098 - mse: 26.8246 - val_loss: 66.6043 - val_mse: 59.0446\n", - "Epoch 53/100\n", - "2/2 [==============================] - 0s 51ms/step - loss: 31.0360 - mse: 23.4713 - val_loss: 54.9626 - val_mse: 47.3813\n", - "Epoch 54/100\n", - "2/2 [==============================] - 0s 50ms/step - loss: 33.4974 - mse: 25.9075 - val_loss: 57.1156 - val_mse: 49.5227\n", - "Epoch 55/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 34.8161 - mse: 27.2422 - val_loss: 61.4643 - val_mse: 53.8376\n", - "Epoch 56/100\n", - "2/2 [==============================] - 0s 88ms/step - loss: 39.0680 - mse: 31.5016 - val_loss: 66.0767 - val_mse: 58.4789\n", - "Epoch 57/100\n", - "2/2 [==============================] - 0s 56ms/step - loss: 36.0214 - mse: 28.4489 - val_loss: 67.4601 - val_mse: 59.8478\n", - "Epoch 58/100\n", - "2/2 [==============================] - 0s 70ms/step - loss: 41.3002 - mse: 33.7040 - val_loss: 79.1499 - val_mse: 71.5464\n", - "Epoch 59/100\n", - "2/2 [==============================] - 0s 72ms/step - loss: 54.3355 - mse: 46.7476 - val_loss: 73.1642 - val_mse: 65.5576\n", - "Epoch 60/100\n", - "2/2 [==============================] - 0s 54ms/step - loss: 61.7701 - mse: 54.2187 - val_loss: 62.9497 - val_mse: 55.3267\n", - "Epoch 61/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 35.6170 - mse: 28.0291 - val_loss: 59.2548 - val_mse: 51.6866\n", - "Epoch 62/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 29.0483 - mse: 21.4710 - val_loss: 60.3905 - val_mse: 52.8182\n", - "Epoch 63/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 29.5863 - mse: 22.0092 - val_loss: 64.4844 - val_mse: 56.9314\n", - "Epoch 64/100\n", - "2/2 [==============================] - 0s 37ms/step - loss: 34.8840 - mse: 27.2988 - val_loss: 73.2185 - val_mse: 65.7093\n", - "Epoch 65/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 37.4283 - mse: 29.8709 - val_loss: 72.1328 - val_mse: 64.5916\n", - "Epoch 66/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 40.4009 - mse: 32.8081 - val_loss: 71.5654 - val_mse: 64.0687\n", - "Epoch 67/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 47.3975 - mse: 39.8250 - val_loss: 69.9427 - val_mse: 62.4476\n", - "Epoch 68/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 36.2168 - mse: 28.6659 - val_loss: 55.3986 - val_mse: 47.8576\n", - "Epoch 69/100\n", - "2/2 [==============================] - 0s 37ms/step - loss: 30.2718 - mse: 22.6977 - val_loss: 54.7090 - val_mse: 47.1580\n", - "Epoch 70/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 33.2632 - mse: 25.7090 - val_loss: 74.1294 - val_mse: 66.4972\n", - "Epoch 71/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 48.5998 - mse: 41.0393 - val_loss: 70.4557 - val_mse: 62.8508\n", - "Epoch 72/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 33.9276 - mse: 26.3579 - val_loss: 65.1031 - val_mse: 57.5076\n", - "Epoch 73/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 33.5740 - mse: 26.0053 - val_loss: 63.6855 - val_mse: 56.0868\n", - "Epoch 74/100\n", - "2/2 [==============================] - 0s 52ms/step - loss: 35.5867 - mse: 28.0251 - val_loss: 64.8781 - val_mse: 57.2692\n", - "Epoch 75/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 36.8985 - mse: 29.3020 - val_loss: 72.5147 - val_mse: 64.9826\n", - "Epoch 76/100\n", - "2/2 [==============================] - 0s 36ms/step - loss: 50.5594 - mse: 42.9961 - val_loss: 63.1110 - val_mse: 55.5332\n", - "Epoch 77/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 50.4238 - mse: 42.8715 - val_loss: 70.0594 - val_mse: 62.5043\n", - "Epoch 78/100\n", - "2/2 [==============================] - 0s 37ms/step - loss: 31.4428 - mse: 23.8863 - val_loss: 56.8229 - val_mse: 49.2449\n", - "Epoch 79/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 31.0637 - mse: 23.4887 - val_loss: 69.2196 - val_mse: 61.6482\n", - "Epoch 80/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 41.2980 - mse: 33.7406 - val_loss: 65.1423 - val_mse: 57.5268\n", - "Epoch 81/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 52.3450 - mse: 44.7983 - val_loss: 68.9426 - val_mse: 61.2997\n", - "Epoch 82/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 41.2837 - mse: 33.7000 - val_loss: 62.2134 - val_mse: 54.5984\n", - "Epoch 83/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 30.7115 - mse: 23.1249 - val_loss: 61.7609 - val_mse: 54.1964\n", - "Epoch 84/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 32.5268 - mse: 24.9393 - val_loss: 68.7602 - val_mse: 61.2525\n", - "Epoch 85/100\n", - "2/2 [==============================] - 0s 58ms/step - loss: 37.0051 - mse: 29.4373 - val_loss: 68.7802 - val_mse: 61.2493\n", - "Epoch 86/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 34.5812 - mse: 27.0134 - val_loss: 71.4610 - val_mse: 63.9257\n", - "Epoch 87/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 40.9226 - mse: 33.3603 - val_loss: 66.1740 - val_mse: 58.6174\n", - "Epoch 88/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 35.7923 - mse: 28.2370 - val_loss: 66.4790 - val_mse: 58.9120\n", - "Epoch 89/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 48.2587 - mse: 40.6690 - val_loss: 70.6092 - val_mse: 63.0852\n", - "Epoch 90/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 46.7529 - mse: 39.1916 - val_loss: 62.8041 - val_mse: 55.2452\n", - "Epoch 91/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 43.3518 - mse: 35.7847 - val_loss: 69.2451 - val_mse: 61.7103\n", - "Epoch 92/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 45.3244 - mse: 37.7464 - val_loss: 60.7219 - val_mse: 53.1716\n", - "Epoch 93/100\n", - "2/2 [==============================] - 0s 50ms/step - loss: 28.7258 - mse: 21.1614 - val_loss: 60.5775 - val_mse: 52.9849\n", - "Epoch 94/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 30.6921 - mse: 23.0978 - val_loss: 64.3155 - val_mse: 56.7864\n", - "Epoch 95/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 36.7760 - mse: 29.1912 - val_loss: 71.2270 - val_mse: 63.6736\n", - "Epoch 96/100\n", - "2/2 [==============================] - 0s 50ms/step - loss: 36.2156 - mse: 28.6333 - val_loss: 72.2180 - val_mse: 64.6883\n", - "Epoch 97/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 40.6740 - mse: 33.1136 - val_loss: 72.9756 - val_mse: 65.4073\n", - "Epoch 98/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 42.0701 - mse: 34.4984 - val_loss: 87.4403 - val_mse: 79.8802\n", - "Epoch 99/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 38.6141 - mse: 31.0322 - val_loss: 73.3351 - val_mse: 65.8037\n", - "Epoch 100/100\n", - "2/2 [==============================] - 0s 51ms/step - loss: 36.3742 - mse: 28.8083 - val_loss: 99.3956 - val_mse: 91.8718\n", - "1/1 [==============================] - 0s 22ms/step - loss: 75.5506 - mse: 68.0269\n", - "MSE: 68.027\n" - ] - } - ], - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras import Sequential\n", - "from tensorflow.keras import Model\n", - "from tensorflow.keras import layers\n", - "from tensorflow.keras.layers import Dense\n", - "\n", - "model = Sequential()\n", - "\n", - "model.add(Dense(5, activation='relu', input_shape=(5,), kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))#Adding regularization\n", - "model.add(Dense(5, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))#Adding regularization\n", - "model.add(Dense(1, kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))\n", - "\n", - "model.summary()\n", - "\n", - "learning_schedule = keras.optimizers.schedules.ExponentialDecay(\n", - " initial_learning_rate = 1e-3,\n", - " decay_steps=1000,\n", - " decay_rate=0.9)\n", - "optim = keras.optimizers.SGD(learning_rate=learning_schedule)\n", - "model.compile(loss='mse',optimizer=optim, metrics=['mse'])\n", - "print(model.layers)\n", - "history = model.fit(X_train, y_train, epochs=100, validation_data=(X_val, y_val),shuffle=True)\n", - "loss,mse = model.evaluate(X_test, y_test, verbose=1)\n", - "print('MSE: %.3f' % mse)\n", - "# Your code here" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jmeP6vt3z0oA" - }, - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 621 - }, - "id": "RQTNqPHm0mOi", - "outputId": "650e63c2-2584-40dc-ce9f-33b615787711" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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AXv/61/Ptb3+bSZMmDfqZalx00UWUy2U+/OEP79Z5dpcBbg8791x44xuzkDV+fLZsaYH8kW+VylpKWQibOTN7TZ8O43azof0v/wLvfz/85CfwuiHviCdJUnHNmDFjwPBWrUsvvZTTTz+9EuBuuGGHZl5dM8DtYSeeWLvvPvts+Mxn4MIL4bWvtQonSaqtCy64gNmzZ3PeeecBz1ev3v/+93PSSSexZs0atm7dyt/93d9x0kkn9fvssmXLeOMb38g999xDV1cXZ599Nr/73e84+OCD6erqqhx37rnn8pvf/Iauri5OOeUUPv3pT3PZZZfx+OOP86pXvYpp06Zx8803M3fuXJYuXcq0adP4/Oc/zxVXXAHAe97zHj7wgQ+wbNkyTjzxRF7+8pdz6623MnPmTH7wgx9QKpUG/X133nkn73//+9m4cSMHHHAAV1xxBZMnT+ayyy7jn//5n2lububQQw/l6quv5uc//3nlKQ0RwZIlS5gwYcIu/20NcGPI+PHwiU/A+94H//mftQ2TkqRi+cAH4M479+w558+HSy8d/P23ve1tfOADH6gEuGuuuYYbb7yRtrY2rrvuOvbaay+eeeYZjj32WN785jcTg1QevvzlL9Pe3s7999/PXXfdxcKFCyvvXXzxxUyZMoVt27bxmte8hrvuuovzzz+fz3/+89x8881Mmzat37luv/12rrzySm677TZSShxzzDEcd9xxTJ48mQcffJDvfOc7fOUrX+Gtb30r3/ve9zj99NMH/X1nnHEG//RP/8Rxxx3HX//1X/PpT3+aSy+9lM9+9rM8+uijtLa28txzzwFwySWX8MUvfpHFixfT2dlJW1tbtX/mAdXySQwaAWedlU1iuPDC5ydBSJJUCwsWLODpp5/m8ccf53e/+x2TJ09m9uzZpJT4+Mc/zpFHHsmf/MmfsHLlSp566qlBz7NkyZJKkDryyCM58sgjK+9dc801LFy4kAULFnDvvfdy33337XRMt9xyC3/2Z39GR0cH5XKZt7zlLfziF78AYN68ecyfPx+Ao446imXLlg16nrVr1/Lcc89x3HHHAXDmmWeyZMmSyhhPO+00vvnNb9KcX9i+ePFiPvShD3HZZZfx3HPPVfbvKitwY8z48fDJT8J73ws33ABveEOtRyRJKoKdVcpG0qmnnsq1117Lk08+ydve9jYAvvWtb7Fq1Spuv/12WlpamDt3Lps2bRr2uR999FEuueQSfvOb3zB58mTOOuusXTpPr9bW1sp6U1NTv1btcPzoRz9iyZIl/PCHP+Tiiy/m7rvv5oILLuANb3gDN9xwA4sXL+bGG2/k4IMP3uWxWoEbg848E+bNg4susgonSaqtt73tbVx99dVce+21nHrqqUBWvdp7771paWnh5ptvZvny5Ts9xytf+Uq+/e1vA3DPPfdw1113AbBu3To6OjqYOHEiTz31FD/+8Y8rn5kwYQLr16/f4VyveMUr+P73v8/GjRvZsGED1113Ha94xSuG/bsmTpzI5MmTK9W7b3zjGxx33HH09PTw2GOP8apXvYrPfe5zrF27ls7OTh5++GGOOOIIPvrRj/KSl7yEBx54YNjf2ZcVuDGopSWrwr373fAf/wFvelOtRyRJalSHHXYY69evZ+bMmbzgBS8A4LTTTuNNb3oTRxxxBIsWLRqyEnXuuedy9tlnc8ghh3DIIYdw1FFHAfDiF7+YBQsWcPDBBzN79mwWL15c+cw555zDCSecwIwZM7j55psr+xcuXMhZZ53F0Udnt5J9z3vew4IFC3baLh3MVVddVZnEsP/++3PllVeybds2Tj/9dNauXUtKifPPP59JkybxqU99iptvvplx48Zx2GGHceJuXqgeqcFKNIsWLUpLly6t9TBG3NatcPDB2Y1+ly51RqokNaL777+fQw45pNbDUJUG+veKiNtTSjvc8M4W6hjV0gKf+hTccQdcf32tRyNJkvYkA9wYdvrpMHs2fO1rtR6JJEnakwxwY1hzMxxxRPaoLUlSY2q0S6Xq1XD/nQxwY9ysWbBiRa1HIUmqhba2NlavXm2IK7iUEqtXrx7WzX2dhTrGzZ4Nq1bBpk2wmzd9liTVmVmzZrFixQpWrVpV66FoCG1tbcyaNavq4w1wY1zvfwsrV8IBB9R2LJKk0dXS0sK8efNqPQyNAFuoY9zs2dnyscdqOw5JkrTnWIHb0y6+GO6+G2bOzF6zZmXLGTNg772ho2NUh9NbgfM6OEmSxg4D3J62ejXcfnt287WBnqFWKsH06dlrn31gv/2yp8/3LufMyQLfHrrzrgFOkqSxxwC3p33+89krJVizJrv4bMUKeOKJbDZB39fjj8Ntt2Whr68JE+CQQ+Cww+DQQ+Hww+H443dpFkJHB0yebAtVkqSxxAA3UiJgypTsdcQROz+2szNLWMuXw6OPwn33Za8bboArr8yOmTwZTjsN3vUuWLBgWEPxViKSJI0tBrgiKJezittAz6tbvRp+8xu46ir4ylfgC1/IAty73pW92tuHPP3s2VbgJEkaS5yFWnRTp8IJJ8B3vpO1XL/whay69xd/AYsWZRMmhmAFTpKkscUAV0+mTIHzzssmSfzkJ9k1dkcfDf/8z9k1d4PoezNfSZJU/wxw9epP/xTuvBOOOw7OPRfe+lZ47rkBD+17M19JklT/DHD1bJ99sokO//AP8P3vZ9fG3XXXDod5M19JksYWA1y9GzcO/uqv4Be/yHqkZ58NPT39DvFecJIkjS0GuLHi2GOzStwdd8C//Vu/twxwkiSNLQa4seTP/zy759wnPwlbt1Z2ezNfSZLGFgPcWNLUBH//9/DQQ/Cv/9rvLW8lIknS2GGAG2te/3p4xSvg05/OnvCQ82a+kiSNHQa4sSYCPvc5eOopuPTSym4rcJIkjR0GuLHopS+Fk07KJjU88wzgzXwlSRpLDHBj1Wc+Axs2ZEu8ma8kSWOJAW6sOvRQOPNM+OIXYfnyys18baNKklT/DHBj2ac/nV0T99nPVipwTmSQJKn+GeDGstmz4bWvhSVLvJmvJEljiAFurFu4EB54gA42eDNfSZLGCAPcWLdwYfZs1N/9zluJSJI0RhjgxrqjjsqWd9zhzXwlSRojDHBj3YwZsPfecMcdVuAkSRojDHBjXUTWRr39dm/mK0nSGGGAawQLF8K99zJrn62AN/OVJKneGeAawcKFsG0bs7c8DNhGlSSp3hngGkE+kWHWM3cCTmSQJKneGeAawZw5MHkys5bdAliBkySp3hngGkE+kaHj7l95M19JksYAA1yjWLgQ7r6bWTN7rMBJklTnDHCN4qijYMsWZk9abwVOkqQ6Z4BrFAsXAjBr3BNW4CRJqnMGuEZxwAEwYQKzNz3ozXwlSapzBrhGMW4cLFhQuZWIN/OVJKl+GeAaycKFzF7xP4C3EpEkqZ4Z4BrJUUcxK38agxMZJEmqXwa4RrJwIbPISm9W4CRJql8GuEZy0EF0lBKTWzdYgZMkqY4Z4BpJUxPMn8+spietwEmSVMcMcI1m4UJmbX6IlStTrUciSZJ2kQGu0Rx1FBO3Pcv61VtrPRJJkrSLDHCNZuFCynTSuba71iORJEm7yADXaA49lPK4Ljo3RK1HIkmSdpEBrtG0tNCxTwedW8aTvAxOkqS6ZIBrQOVpJXpo8nmokiTVKQNcAypPyNqnnZ01HogkSdolBrgGVJ7UDEDnenuokiTVIwNcAypPbgFgwzNdNR6JJEnaFQa4BlSeMh6AziftoUqSVI8McA2oPK0NgM6nNtR4JJIkaVcY4BpQx/R2ADpX2UKVJKkeGeAaUHmfDgA6n/E+IpIk1SMDXAMq71sGoPPZLTUeiSRJ2hUGuAZUnrEXAJ1rfKC9JEn1yADXgNpfMBGADT7QXpKkumSAa0BNrc20s4HO9T21HookSdoFBrgGVR63kc7OqPUwJEnSLhixABcRV0TE0xFxT599UyLipoh4MF9OzvdHRFwWEQ9FxF0RsbDPZ87Mj38wIs7ss/+oiLg7/8xlEWEaGYaO5s10bvBPJklSPRrJCtzXgBO223cB8N8ppQOB/863AU4EDsxf5wBfhizwARcCxwBHAxf2hr78mPf2+dz236WdKLdsprOrqdbDkCRJu2DEAlxKaQnw7Ha7TwKuytevAk7us//rKfMrYFJEvAB4HXBTSunZlNIa4CbghPy9vVJKv0opJeDrfc6lKpRbt9K5uaXWw5AkSbtgtK+B2yel9ES+/iSwT74+E3isz3Er8n07279igP0DiohzImJpRCxdtWrV7v2CMaLc1k3nlvG1HoYkSdoFNZvEkFfO0ih91+UppUUppUXTp08fja8svHJ7Dxu6W2s9DEmStAtGO8A9lbc/yZdP5/tXArP7HDcr37ez/bMG2K8qlTugM7XDFp/GIElSvRntAHc90DuT9EzgB332n5HPRj0WWJu3Wm8EXhsRk/PJC68FbszfWxcRx+azT8/ocy5VoTwh6KQMzz1X66FIkqRhah6pE0fEd4DjgWkRsYJsNulngWsi4t3AcuCt+eE3AK8HHgI2AmcDpJSejYi/BX6TH/c3KaXeiRH/L9lM1xLw4/ylKnXs1ZQFuDWPwd5713o4kiRpGEYswKWU3jHIW68Z4NgEnDfIea4Arhhg/1Lg8N0ZYyMrT26mi3a2PbOGpoNqPRpJkjQcPomhQZUnZzNQNzy5vsYjkSRJw2WAa1DlqdkM1M6nNtR4JJIkabgMcA2qPL0EwIanDXCSJNUbA1yDKu/dDkDnqq4aj0SSJA2XAa5Bladk18B1Put94CRJqjcGuAbV0ZEtDXCSJNUfA1yDKpezZedz3bUdiCRJGjYDXIOqBLh1PbUdiCRJGjYDXIOqBLjOVNuBSJKkYTPANajnA1zUdiCSJGnYDHANqrUVmmIbG7oMcJIk1RsDXIOKgPL4LXRuHg89XgcnSVI9McA1sI7WbXTSAWvX1nookiRpGAxwDazcvo1OyrBmTa2HIkmShsEA18DK7ckAJ0lSHTLANbDyBLIA99xztR6KJEkaBgNcAyvvNc4KnCRJdcgA18DKE5vZQIcBTpKkOmOAa2Dlyc22UCVJqkMGuAbWMbHFFqokSXXIANfAyhOCTsqkZw1wkiTVEwNcAyuXoZsWtqxeX+uhSJKkYTDANbDKA+1Xb67tQCRJ0rAY4BpYJcA9u6W2A5EkScNigGtgvQFuwxoDnCRJ9cQA18AqFbh1PbUdiCRJGhYDXAPr6MiWnet6IKXaDkaSJFXNANfAKhW4nhJs2FDbwUiSpKoZ4BpYJcB5M19JkuqKAa6B9QtwPk5LkqS6YYBrYFbgJEmqTwa4BtY7iWEDHQY4SZLqiAGugTU3Q1trjy1USZLqjAGuwXV02EKVJKneGOAaXHlCGOAkSaozBrgGVy4Hnc2TDXCSJNURA1yDK5ehs3mS18BJklRHDHANrlyGzqa9rMBJklRHDHANrlyGDeE1cJIk1RMDXIMrl6EzddhClSSpjhjgGlxHB3T2tFuBkySpjhjgGly5DJ3dbQY4SZLqiAGuwZXLsGFrKz1dm2Dz5loPR5IkVcEA1+B6H2i/kXavg5MkqU4Y4Bpcb4DzaQySJNUPA1yD6w1wG+gwwEmSVCcMcA2uXwXOFqokSXXBANfgOjqypS1USZLqhwGuwXkNnCRJ9ccA1+AMcJIk1R8DXIOrBLiWKV4DJ0lSnTDANbhKgGufbgVOkqQ6YYBrcJUA1zrNACdJUp0wwDW4UgkiYMP4yQY4SZLqhAGuwUVktxLpbJnsNXCSJNUJA5wol6GzaaIVOEmS6oQBTlmAGzfBCpwkSXXCAKcswPW0w8aNtR6KJEmqggFOWYDb1g5bt2YvSZJUaAY4ZQGuuy3b2LChtoORJElDMsCJchk2dI/PNgxwkiQVngFO2W1EthjgJEmqFwY4ZS3UzXmAcyKDJEmFZ4BTHuCasw0rcJIkFZ4BTpTLsGXrOLbQYoCTJKkOGOBUeaD9BjoMcJIk1QEDnCoBrpOy18BJklQHDHCyAidJUp0xwImOjmzZSdkAJ0lSHTDAqX8L1QAnSVLhGeD0fIAbN9EAJ0lSHTDA6fkA1zrVSQySJNUBA5yeD3Djp1iBkySpDhjg9HyAa5lsgJMkqXDu53wAACAASURBVA4Y4FSZhbqh2WvgJEmqBzUJcBHxwYi4NyLuiYjvRERbRMyLiNsi4qGI+G5EjM+Pbc23H8rfn9vnPB/L9/8+Il5Xi98yFowfDy0t0Nk00WvgJEmqA6Me4CJiJnA+sCildDjQBLwd+BzwjymlFwJrgHfnH3k3sCbf/4/5cUTEofnnDgNOAL4UEU2j+VvGknIZOsdNsAInSVIdqFULtRkoRUQz0A48AbwauDZ//yrg5Hz9pHyb/P3XRETk+69OKW1OKT0KPAQcPUrjH3PKZejEACdJUj0Y9QCXUloJXAL8kSy4rQVuB55LKXXnh60AZubrM4HH8s9258dP7bt/gM/0ExHnRMTSiFi6atWqPfuDxogswHkjX0mS6kEtWqiTyapn84AZQAdZC3TEpJQuTyktSiktmj59+kh+Vd0ql6EzdXgNnCRJdaAWLdQ/AR5NKa1KKW0F/h1YDEzKW6oAs4CV+fpKYDZA/v5EYHXf/QN8RsNULkNnT7sVOEmS6kAtAtwfgWMjoj2/lu01wH3AzcAp+TFnAj/I16/Pt8nf/2lKKeX7357PUp0HHAj8epR+w5hTLsOGbW1ZgEup1sORJEk70Tz0IXtWSum2iLgWuAPoBn4LXA78CLg6Iv4u3/fV/CNfBb4REQ8Bz5LNPCWldG9EXEMW/rqB81JK20b1x4whHR3Q2d0KPT2weTO0tdV6SJIkaRCjHuAAUkoXAhdut/sRBphFmlLaBJw6yHkuBi7e4wNsQOUydG5tzTY2bDDASZJUYD6JQUBegdsyPttwIoMkSYVmgBMApRJ0bc0Lsk5kkCSp0AxwArIA171tHN00GeAkSSo4A5wAaG/Pll2UDHCSJBWcAU5AVoGDPMB5DZwkSYVmgBPwfIDbiDfzlSSp6AxwArarwBngJEkqNAOcAK+BkySpnhjgBHgNnCRJ9cQAJ8AWqiRJ9cQAJ6DPJIbmiQY4SZIKzgAnoM81cK2TDHCSJBWcAU5AnxbqeCtwkiQVnQFOQJ8A17KXkxgkSSo4A5yAPtfAtViBkySp6AxwAvpU4JonGOAkSSo4A5wAaGmBpiboauowwEmSVHAGOAEQkVXhusaVvQZOkqSCM8CpIgtwPsxekqSiM8CpolSCjdhClSSp6Axwqmhv91FakiTVAwOcKkol6Ept2TVwPT21Ho4kSRqEAU4VWYBrzTY2bartYCRJ0qAMcKoolWDjtjzA2UaVJKmwDHCqKJWga9v4bMMAJ0lSYRngVNHeDl3dLdmGAU6SpMIywKmiVIKurc3ZhjfzlSSpsAxwqugX4KzASZJUWAY4VZRKsHFzU7ZhgJMkqbAMcKpob4euzeNIYICTJKnADHCqKJWgpyfYSovXwEmSVGAGOFWUStnSx2lJklRsBjhV9Aa4jbQb4CRJKjADnCra27OlFThJkorNAKeKSgu1bYoBTpKkAjPAqaIS4FonOYlBkqQCM8CponINnBU4SZIKzQCnin4VOAOcJEmFZYBTRWUSw/iJBjhJkgrMAKeKSgWuZYLXwEmSVGAGOFVUAlzzXlbgJEkqMAOcKiqTGJonGOAkSSowA5wqKtfANZUNcJIkFZgBThWVFuq4DgOcJEkFZoBTRVMTtLRAV7Q7iUGSpAIzwKmfUgk20gGbNsG2bbUejiRJGoABTv2UStBFW7ZhFU6SpEIywKmf9nboSnmA8zo4SZIKyQCnfkol6OppzTaswEmSVEgGOPVTKkHXtjzAWYGTJKmQDHDqp1SCjdvGZxsGOEmSCskAp37a26GruyXbMMBJklRIBjj1UypB19bmbMNr4CRJKiQDnPoplaBrS1O2YQVOkqRCMsCpn1IJNm42wEmSVGQGOPVTKkHX5vw/CwOcJEmFZIBTP+3t0LUpsg0DnCRJhWSAUz+lEnR1BSnGOYlBkqSCMsCpn1IpW25un2wFTpKkgjLAqZ/eALexfZoBTpKkgjLAqZ/29mzZVZpigJMkqaAMcOqntwLX1TbZa+AkSSooA5z6qQS41klW4CRJKigDnPqpXAM33gAnSVJRGeDUT+UauPETDXCSJBWUAU79VFqoLXsZ4CRJKigDnPrpF+CcxCBJUiEZ4NRP5Rq4cWUrcJIkFZQBTv1UKnBNBjhJkorKAKd+KpMYxnXA1q3ZS5IkFYoBTv1UKnCRJzmvg5MkqXAMcOqnrS1bdpEnOduokiQVTlUBLiI6ImJcvv6iiHhzRLSM7NBUC+PGQWsrbEwGOEmSiqraCtwSoC0iZgI/Ad4JfG2kBqXaam+HrpSX4gxwkiQVTrUBLlJKG4G3AF9KKZ0KHDZyw1ItlUrQlVqzDa+BkySpcKoOcBHxUuA04Ef5vqZd/dKImBQR10bEAxFxf0S8NCKmRMRNEfFgvpzc+8URcVlEPBQRd0XEwj7nOTM//sGIOHNXx6P+SiXo2pYHOCtwkiQVTrUB7gPAx4DrUkr3RsT+wM278b3/B/jPlNLBwIuB+4ELgP9OKR0I/He+DXAicGD+Ogf4MkBETAEuBI4BjgYu7A192j2lEmzszi9xNMBJklQ4zdUclFL6OfBzgHwywzMppfN35QsjYiLwSuCs/NxbgC0RcRJwfH7YVcDPgI8CJwFfTykl4Fd59e4F+bE3pZSezc97E3AC8J1dGZeeVypB11YDnCRJRVXtLNRvR8ReEdEB3APcFxF/tYvfOQ9YBVwZEb+NiH/Nz7tPSumJ/JgngX3y9ZnAY30+vyLfN9j+gcZ/TkQsjYilq1at2sVhN472dujammd7A5wkSYVTbQv10JTSOuBk4MdkIeydu/idzcBC4MsppQXABp5vlwKQV9vSLp5/Bymly1NKi1JKi6ZPn76nTjtmZRW4/BJHJzFIklQ41Qa4lvy+bycD16eUtrLrAWsFsCKldFu+fS1ZoHsqb42SL5/O318JzO7z+Vn5vsH2azeVStC1Of9PwwqcJEmFU22A+xdgGdABLImIOcC6XfnClNKTwGMRcVC+6zXAfcD1QO9M0jOBH+Tr1wNn5LNRjwXW5q3WG4HXRsTkfPLCa/N92k2lEmzsGgfNzQY4SZIKqNpJDJcBl/XZtTwiXrUb3/sXwLciYjzwCHA2WZi8JiLeDSwH3pofewPweuAhYGN+LCmlZyPib4Hf5Mf9Te+EBu2e9nbo6gI6OgxwkiQVUFUBLp85eiHZ7FHIZqT+DbB2V740pXQnsGiAt14zwLEJOG+Q81wBXLErY9DgSqU+Ac5r4CRJKpxqW6hXAOvJqmJvJWufXjlSg1Jt9QtwVuAkSSqcqipwwAEppf+nz/anI+LOkRiQaq9Ugs2bYVupTJMBTpKkwqm2AtcVES/v3YiIxUDXyAxJtdbeni03lSZbgZMkqYCqrcC9H/h6fi0cwBqenzGqMaZUypZdbZPp2Ph4bQcjSZJ2UFUFLqX0u5TSi4EjgSPzG/C+ekRHppqpBLjWSVbgJEkqoGpbqACklNblT2QA+NAIjEcFYICTJKnYhhXgthN7bBQqlN4At7FlLwOcJEkFtDsBbo89q1TF0juJoavZACdJUhHtdBJDRKxn4KAWQGlERqSaq7RQW/bKbuSbEoQFV0mSimKnAS6lNGG0BqLiqAS4pjJs2wZbtkBra20HJUmSKnanhaoxqnIN3LiObMU2qiRJhWKA0w4q18BFHuB8HqokSYVigNMOKi3UcXmSswInSVKhGOC0g0qAS729VCtwkiQViQFOO6hcA9cb4KzASZJUKAY47aC1NbtrSFdPPvPUACdJUqEY4LSDiKwK15XyAGcLVZKkQjHAaUClEnRtG59tWIGTJKlQDHAaUKkEXd15gLMCJ0lSoRjgNKBSCTZuzR/UYQVOkqRCMcBpQO3t0LXFACdJUhEZ4DSgUgm6No+DlhZbqJIkFYwBTgMqlaCri6wUZwVOkqRCMcBpQKVSXnjr6LACJ0lSwRjgNKBKBa6jwwqcJEkFY4DTgNrbbaFKklRUBjgNqF8FzhaqJEmFYoDTgJzEIElScRngNCAnMUiSVFwGOA2ovR26u6G7NMEKnCRJBWOA04BKpWzZNX6iFThJkgrGAKcBVQJc6yQrcJIkFYwBTgPqDXAbm/cywEmSVDAGOA2ovT1bdrXslV0Mt3VrbQckSZIqDHAaUKWF2jwhW7EKJ0lSYRjgNKBKgGsqZytOZJAkqTAMcBrQDgHOCpwkSYVhgNOAKpMYyC+GM8BJklQYBjgNqDKJIfIVW6iSJBWGAU4DqrRQyVeswEmSVBgGOA1ohwBnBU6SpMIwwGlAlWvgetqyFStwkiQVhgFOA6pcA7dtfLZigJMkqTAMcBpQSws0NUFXTx7gbKFKklQYBjgNqlSCru6WbMMKnCRJhWGA06BKJdi4qSkrxVmBkySpMAxwGlSpBF2bIrsgzgqcJEmFYYDToNrboasL6OiwAidJUoEY4DSoUqlPgLMCJ0lSYRjgNKhKgLOFKklSoRjgNKhSKe+c2kKVJKlQDHAaVOUaOCtwkiQVigFOg+p3DZwVOEmSCsMAp0E5iUGSpGIywGlQlWvgbKFKklQoBjgNyvvASZJUTAY4Daq3hZpKVuAkSSoSA5wGVSpBTw9sbZsAW7ZAd3ethyRJkjDAaSdKpWy5sWVivmIbVZKkIjDAaVC9AW7z+AnZigFOkqRCMMBpUG1t2bKrOQ9wXgcnSVIhGOA0qN4At6m5nK0Y4CRJKgQDnAbV20Ld1NSRrdhClSSpEAxwGlSlhRrt2YoVOEmSCsEAp0FVWqhNeYCzAidJUiEY4DSoSgvVCpwkSYVigNOgKi3UlK8Y4CRJKgQDnAZVaaGSr9hClSSpEAxwGlSlhZpasxUrcJIkFYIBToOqtFC7WyDCCpwkSQVhgNOgKi3UzQEdHVbgJEkqCAOcBlVpoW4C2tsNcJIkFYQBToNqboZx46Cri6wCZwtVkqRCMMBpUBFZG9UKnCRJxVKzABcRTRHx24j4j3x7XkTcFhEPRcR3I2J8vr81334of39un3N8LN//+4h4XW1+ydhWKuUBzgqcJEmFUcsK3F8C9/fZ/hzwjymlFwJrgHfn+98NrMn3/2N+HBFxKPB24DDgBOBLEdE0SmNvGG1teQvVCpwkSYVRkwAXEbOANwD/mm8H8Grg2vyQq4CT8/WT8m3y91+TH38ScHVKaXNK6VHgIeDo0fkFjaPSQrUCJ0lSYdSqAncp8BGgJ9+eCjyXUurOt1cAM/P1mcBjAPn7a/PjK/sH+Ew/EXFORCyNiKWrVq3ak79jzOsX4KzASZJUCKMe4CLijcDTKaXbR+s7U0qXp5QWpZQWTZ8+fbS+dkwolWyhSpJUNM01+M7FwJsj4vVAG7AX8H+ASRHRnFfZZgEr8+NXArOBFRHRDEwEVvfZ36vvZ7SH2EKVJKl4Rr0Cl1L6WEppVkppLtkkhJ+mlE4DbgZOyQ87E/hBvn59vk3+/k9TSinf//Z8luo84EDg16P0MxqGtxGRJKl4alGBG8xHgasj4u+A3wJfzfd/FfhGRDwEPEsW+kgp3RsR1wD3Ad3AeSmlbaM/7LGtVIJnniGrwG3aBD092d19JUlSzdQ0wKWUfgb8LF9/hAFmkaaUNgGnDvL5i4GLR26E6tdChayNWi7XdEySJDU6SynaqX4tVLCNKklSARjgtFOVWah9K3CSJKmmDHDaKStwkiQVjwFOOzXgNXCSJKmmDHDaqVIJNm+GnjYrcJIkFYUBTjvV1pYtN7fkM08NcJIk1ZwBTjvVG+A2NecBzhaqJEk1Z4DTTpVK2bJrXH4NnBU4SZJqzgCnnapU4Mbl18BZgZMkqeYMcNqpSoCLvBRnBU6SpJozwGmnKi3UlCc5K3CSJNWcAU47VanAbRmX3czXCpwkSTVngNNOVQJc79MYDHCSJNWcAU47VWmh9j4P1RaqJEk1Z4DTTlmBkySpeAxw2ql+Ac4KnCRJhWCA0071a6FagZMkqRAMcNqpHSpwBjhJkmrOAKedsoUqSVLxGOC0U70BzhaqJEnFYYDTTjU3Zy8rcJIkFYcBTkNqa/M2IpIkFYkBTkMqlba7kW9PT62HJElSQzPAaUiVClxHR7Zj06aajkeSpEZngNOQ+rVQwTaqJEk1ZoDTkPq1UMGJDJIk1ZgBTkOyAidJUrEY4DSkHa6BswInSVJNGeA0pEoL1QqcJEmFYIDTkHaowBngJEmqKQOchmQLVZKkYjHAaUi2UCVJKhYDnIZkBU6SpGIxwGlI3kZEkqRiMcBpSLZQJUkqFgOchtTWBt3d0J2asg1bqJIk1ZQBTkNqa8uWmzeTVeGswEmSVFMGOA2pN8BVnodqBU6SpJoywGlIpVK2rExksAInSVJNGeA0pN4KXOVWIlbgJEmqKQOchtSvhWoFTpKkmjPAaUj9WqgdHQY4SZJqzACnIdlClSSpWAxwGpItVEmSisUApyHt0EK1AidJUk0Z4DSkfi1UK3CSJNWcAU5D2uFGvhs2QEo1HZMkSY3MAKch7dBCTSl/rpYkSaoFA5yGtEMLFWyjSpJUQwY4DWmH24iAExkkSaohA5yGtMNtRMAKnCRJNWSA05DGjYPx4/MK3PTp2c4nnqjpmCRJamQGOFWlrS0PcAcemO148MGajkeSpEZmgFNVSqW8hTp7NrS2GuAkSaohA5yqUqnAjRsHBxxggJMkqYYMcKpKJcBB1kY1wEmSVDMGOFWl0kKFLMA9/DD09NR0TJIkNSoDnKqyQwVu82Z47LGajkmSpEZlgFNVdghwYBtVkqQaMcCpKju0UMEAJ0lSjRjgVJV+FbgZM7JEZ4CTJKkmDHCqSr8AN24cvPCF8Ic/1HRMkiQ1KgOcqtKvhQreSkSSpBoywKkq/SpwkAW4Rx6B7u6ajUmSpEZlgFNVBgxw3d2wfHnNxiRJUqMywKkqvS3UlPIdzkSVJKlmDHCqSltb9uCFSsfUACdJUs0Y4FSVtrZsWWmj7rsvlMsGOEmSasAAp6qUStmyMhM1IruViAFOkqRRZ4BTVXaowAG86EUGOEmSasAAp6oMGOAOPBCWLYOtW2sxJEmSGpYBTlXZoYUKWYDbtg0efbQmY5IkqVEZ4FSVQStwYBtVkqRRZoBTVQxwkiQVhwFOVRmwhTptGkycaICTJGmUjXqAi4jZEXFzRNwXEfdGxF/m+6dExE0R8WC+nJzvj4i4LCIeioi7ImJhn3OdmR//YEScOdq/pZEMWIGL8KH2kiTVQC0qcN3A/0opHQocC5wXEYcCFwD/nVI6EPjvfBvgRODA/HUO8GXIAh9wIXAMcDRwYW/o0543YIADA5wkSTUw6gEupfRESumOfH09cD8wEzgJuCo/7Crg5Hz9JODrKfMrYFJEvAB4HXBTSunZlNIa4CbghFH8KQ1lwBYqZAHuj3+EzZtHfUySJDWqml4DFxFzgQXAbcA+KaUn8reeBPbJ12cCj/X52Ip832D7B/qecyJiaUQsXbVq1R4bfyPZaQWupwceeWTUxyRJUqOqWYCLiDLwPeADKaV1fd9LKSUg7anvSildnlJalFJaNH369D112oay0wAHtlElSRpFNQlwEdFCFt6+lVL693z3U3lrlHz5dL5/JTC7z8dn5fsG268R0BvgBmyhggFOkqRRVItZqAF8Fbg/pfT5Pm9dD/TOJD0T+EGf/Wfks1GPBdbmrdYbgddGxOR88sJr830aAa2t2XKHCtyUKdnLACdJ0qhprsF3LgbeCdwdEXfm+z4OfBa4JiLeDSwH3pq/dwPweuAhYCNwNkBK6dmI+FvgN/lxf5NSenZ0fkLjiciqcDsEOHAmqiRJo2zUA1xK6RYgBnn7NQMcn4DzBjnXFcAVe2502pm2tgFaqJAFuJ/9bLSHI0lSw/JJDKpaqbSTCtyKFbBx46iPSZKkRmSAU9V22kIFePjhUR2PJEmNygCnqg3aQj344Gx5332jOh5JkhqVAU5VG7SFevjh0N4Ot9466mOSJKkRGeBUtUFbqC0tcPTR8MtfjvqYJElqRAY4VW3QFirA4sVw553Q2TmqY5IkqREZ4FS1wVqo69bBW39+Hiu37QO//vXoD0ySpAZjgFPVBmuh3nYb/NstL+AnvM42qiRJo8AAp6oN1kJdtixbPjr9aLjlllEdkyRJjcgAp6oN1kJdvjxbPjppPvzP/8C2baM7MEmSGowBTlUbrIVaCXCxP6xfD/fcM7oDkySpwRjgVLWhWqiPPDclW/E6OEmSRpQBTlXrbaGm1H9/bwXuiaeb6dp3ngFOkqQRZoBT1drasuWWLc/v27oVVq6E/ffPtpcf+SYDnCRJI8wAp6r1Bri+bdQVK6CnB44/Ptt+dO6rspLcypWjPj5JkhqFAU5VK5WyZd+JDL3t00qAmzQ/W7EKJ0nSiDHAqWq9FbiBAtyxx0JrKzzaPTt7sH3RAlxKcO210N1d65FIkrTbDHCq2kAt1N4ZqPvtB3PnwiPLmor5YPtbboFTT4Xvf7/WI5EkabcZ4FS1wVqoM2Zk1bf994dHH6WYD7a/775seffdtR2HJEl7gAFOVRushTpnTrY+b16fALdtW7EebP/732fLe++t7TgkSdoDDHCq2mAt1L4B7rnn4LlDXwYRxWqj9gY4nxIhSRoDDHCq2vYt1J4eeOyx7No3yAIcwKPPToTDDitWgPvDH7LlQw/B5s21HYskSbvJAKeqbd9CfeKJ7Ea+fStw0KeNWpQH22/Zwm2PTOegloe5b9uLnq/GSZJUpwxwqtr2LdTeGajbB7hHHgFe/nJYt64Q15w9/j/L+bOea/nD1v35H15qG1WSVPcMcKra9i3U3nvA9bZQJ0+GSZPyCtzLXpbt/NWvRnOIO9i0Cf7svVNZx16MG5dYHvMKESolSdodBjhVbfsWam+A22+/54+pzESdOze7t8iDD47mEPtJCc45B3794BS+yenMeEFi+V6HG+AkSXXPAKeqDdRCnTYNOjqeP6YS4MaN67NRG5//PHzjG/A3C67j5H1vY87ccSwff6AtVElS3TPAqWoDtVB726e95s3Lgl1PT77xyCOjOMLn3XgjfOQjcMop8Mm2S+BFL2LuXFi2ZWY2po0bazIuSZL2BAOcqtbcnBXW+ga43gkMvebNy95/8kn6PJphdP3xj/C2t8ERR8DXvgbx4B/goIOYMwdWrN+L7jQOHnhg1MclSdKeYoBT1SKyNmpXV3Z92WABDvLc1ntn3zVrRnWcP/whrF0L3/kOdGx+Fp55phLgtvWM43FmeB2cJKmuGeA0LKVSVmFbtSoLctu3UPffP1s++uj2G6Pn3nth4kQ4+GCev+dbHuAAlje/0OvgJEl1zQCnYWlrywJc7wzU7StwvYGuUoGDUb8O7t57swdBRDBwgNv3GCtwkqS6ZoDTsPS2UHtv4rt9Ba6tDV7wgu0C3ChW4FJ6PsABWYBraYF58yoBbtnkBQY4SVJdM8BpWHpbqINV4KDP3UMmToQpU0a1Avf007B69XYB7oADoLmZUgn23pvsViLLlkFn56iNS5KkPckAp2Hp20KdODF7ba/f3UNGeSZqb2GtX4B70Ysq78+ZA8u7Z2Yb9903auOSJGlPMsBpWPq2ULdvn/aaNw9WrMgedD/a94LrF+C2bYOHHoKDDqq8P2cOLF83qf/BkiTVGQOchqVvC3Wg9ilkRbeenux+bOy/f3bwtm2jMr577smeybrvvmTfu2VLvwA3dy4sf7yFntaSM1ElSXXLAKdh6a3A7SzA7XAvuC1b4PHHR2V8g81A7TVnDmzeHDx94GIrcJKkumWA07C0tWVPWVi3buctVBj9e8H1zkA9/PB8xyABDmD5LAOcJKl+GeA0LG1t8NRT2fpgFbhZs7LHbo32veCeeCJ78EO/CQyTJ8O0aZVjKgFuyoLsQr21a0d8XJIk7WkGOA1L7wPtYfAA19QE++2XZ7b99sseoDoKFbgBZ6AedFDeT81UAlzrgf0/JElSHTHAaVja2p5fH6yFCn3uBTd+fFaSG4UK3FC3EIHstieTJsGyrbP6f0iSpDpigNOw9Aa49naYOnXw4yoBDkbtXnD33pt1S/feG1i/Pps40ef6t15z5sDyZydAR4cBTpJUlwxwGpbeFuqcOf06kzvYf//sgfednYzaveDuuadP9e3BB7PlYAHujwGHHuqtRCRJdckAp2HprcDtrH0Kz89dWLaMLM098UR2/5ERklL2YIV+7VMYMMDNnZvdBiUdepgVOElSXTLAaVh6A9xgExh67XAvOMjT3MhYsSK7tUm/ABcBL3zhDsfOmZN1WNccsCi7J8rq1SM2LkmSRoIBTsPSt4W6My98YZafbrqJUbkX3IATGObO7T/rIleZiTp5fv8PS5JUJwxwGpZqW6hTp8I558CXvgR3deW37BjB6+AGvYXIACoBri1//667RmxckiSNBAOchqW9PVsOVYED+MxnsvvonvupqfS0tY94BW6fffJ79qYEf/jDDrcQ6dUbPpd3ToWZM+GXvxyxcUmSNBIMcBqWE06ASy6Bo48e+tgpU+Af/gFuvTW4asoHRrwCV6m+rfy/7d15lFxlnf/x97equqp67ySddNZOOiRkEyGYgUTNzxHB4AwDHFwAgziIxyPzY1HDqPPTQWfUgz9lQDIi/pRFkCg6DAO4gKIguyEEZAsxCdmT7k7vS7q7qqvq+f3xVHV1J+ks0N3Vlf68znnOrbpVdeupuve59a1nu3tg//5Ba+AmTPCB6PYdBsuXw1NP+aBPREQkTyiAk2NSWgqrVvmrLRyNT34S3v1u+GLjF2nePDyDBVKpox+BCr5v3syZfiQqy5f7gG8YB1iIiIgMNQVwMqwCAbj1VmjpLeErmy4dlpqunTv9fHN9Adx//RdEIrB48aCvGRDAATz55JDnS0REZLgogJNh9853wlXLX+b/9X6KdX8Y+ovHDxjA0NICd98NK1f6NtxB9AVwixb5jnpPPTXk+RIRERkuCuBkRPzbZ2uZTB1XXF1AMjm02x4Q1IzSMQAAF3NJREFUwN12m58w+OqrD/uaWbP89G+dXQF473sVwImISF5RACcjomzRDG7kC6zfWMzttw/ttl9/HaZMgXGlCfj+9+F974OTTz7sa/qmEsk0o27aBPX1Q5sxERGRYaIATkZGTQ0X8guWVe/m29+GRGLoNt03AvWhh3yHuGuuOeJrDgrgQLVwIiKSNxTAycgoLcUqK/ni/IfYtg3uv7/fY729bzmiS6XgjTfgHe8Abr7ZR2bnnnvE1w0I4E491c8rogBORETyhAI4GTmzZ3Nu8gHmzoXvfjc9IHXfPliwAC699C1tcvt26OqCRaU7/UjSK688qjlOpkyBgoJ0ABcOw9KlCuBERCRvKICTkVNTQ2D7VlatghdegCcejcOHPwxvvgn33pudv+0Y9A1gePGnvhbt8suP6nWBAFRX95v+bflyePllaG8/5jyIiIiMNAVwMnJmz4YdO7h0ZZKJEx03XP4GPP00rF7ta8FuuumYNtfU5C/XFQ47Fj36PT9r8LhxR/36vqlEwAdwqRQ8++wx5UFERCQXFMDJyKmpgUSCwqbdXPWu5/jN7pPZ8NnVcNVVvgn1rrugoeGoNrVtm7/Cw0svwZoL7qcs3ui3cwwGBHBLl0IopAl9RUQkLyiAk5Eze7Zf3nILV/zufAqDMW7oudKv+8IXoKcHfvCDI25m/XpYtszHeo8+nOAjT14NH/yg70t3DGbNgtpaiMWA4mJ417vUD05ERPKCAjgZOTU1fvnd71J58jQ+dXmAe9YYe/cC8+fDOefALbf4iXgH8cgjfpq3SASeedqx/OnrYe/eo5o65ECZkai7dqVXLF8Ozz/vA0kREZFRTAGcjJwZM/wI0aoqePBBvvAlf1WG1avTj69a5avVfvrTg17qnJ+j95xzYM4ceO7hVhZ85QK47jq44AI4++xjzk4mgBswkCEeh3Xr3tLHExERGSkK4GTkFBTAnXfC738P1dXMnu0Hof7wh9DRga9aO/VUuPFGP6AgbfduWLHCd3FbsQKevPEFpv7dKfDrX/vn3nefH1Z6jGbN8sv169Mr3vMev1Q/OBERGeUUwMnI+sQn/NXt0669FtrafBe4l18x3Kpr/XQiv/kNzsGaNX6S3meegVt/4Pj1GTdStmKZf/HTT8PnPw9mbykrM2fCmWfC178Or74KTJjg30z94EREZJRTACc5ddpp8PGP+2vQn3IKTP78RVxS9N/85J9f52Mfg0sugUULU7z8jYf47B2nYdeu8u2oL70Ep5/+tt7bDO65Byoq4KMfhc5OfDPqs89CMjk0H/CtamyEn/3MB7w1NXD33bnNj4iIjCoK4CTn1qzxAwnuvBPOPNN4NLCCy/76ZR58IMW3VzzGk9tnMmfVeX6S3dtv99fhOob53g6nqsrHSZs3wxVXgHvvct+e+/LLQ7L9Y9LQAN/8pp/SZNIkWLnSj9qIRPwExY89NvJ5EhGRUUkBnIwK06fDP/6jD+ZqdyX5S/F72JSYzZd+9wGCJy2E3/7WX/T0U596y02mg3n/+30z6j33wB17V/iV3/iGD5ji8SF9r0NqaYGvftXXtF13nV/3ta/B2rVQV+eX8+b5wRobNgx/fkREZNQz51yu8zCilixZ4l544YVcZ0OO5K67/GjQK66ARYuG/e2SST+Q9emn4fl/+AYnPfhNiMdxJaW8vuzT/KHyIvaXTmbqhBhTJsSYMi7G1AkxKl0DtnsX7NyZTcXF8E//BOeee/jrsnZ0wM03ww03+I6AF17oI8n58w9+7o4dvsm4sBD+/GdfdSgiIsc9M1vvnFty0HoFcCJefb3vh1deDl+9todHf7aPR9eWUdtVMehr5rGR/+Qqzoo85adJqa6GrVv93CQnnACf+xxcdpkP6sCv/9OfcH96gv2/eoyS5p1w3nnw7/8+YHDHIa1b50fqnnQSPP64v/ariIgc1xTApSmAk8N5/HE/MjWVgvHj4ayz4INnOc6a/gaVsT3UtUbZ2xyltiXK7sYIt/yqmi27onz0o44bbzSmTwcSCXjgAfiP//C1ZePGwQc+AOvWsWFHEfdyET8PXMKW1Gw+dmYzX189/ugvIvHAA74p9YIL4Je/fEvTp+St556D117zfQMVvIrIGKEALk0BnBzJM8/4cQOLFx++BRT8RRtuuAG+9S3/3Ouu85VusZgfSNrw2Ks03PErXnnNuNcu5pW2WQQCjve/HxYsMO680194YuVK3+3thBMO/37NzbDha7/gje//gYKZ06g6YxGTz1/K5L+ZwcSJPg/d3X5EbSZFo37KlEhk6L6jEbV+Pfzrv8LDD/v7M2fCTTfB+ecPeX9IERnbOjp81+fx4w99etm/35+S1q6FF1/0886HQsObJwVwaQrgZDhs3+4Dtwcf9JVi/eYh7rNsGVx8sZ+yZPJkv66hAb7zHX+Vid5eH8hVV/vbiYRf9vTAli1+/EJd3eB5MPNl2bmDzzpGiqnjY9TMCVAzL0Jlpd92LOZPVrGeFCFLMWdekBPnGSeeCCeeCKWlh//cyWQ2r6EQhMMDKwVTKWhq8vnOpETCd+UrKsou29pg0yY/GnjzZn+7p7OX+fyVBU1PsbBoBws+vpipp8+g5fof0ri1jcaF76PhQ5+gq2giJ5zguw7Om+enhRkKyaSfRPrNN32reDLp900mHem7SST8Z29o8D8KEyf6/V5ScvR5cM5/v93d0NU1cBmP+zz1T+3t2e+5ttYvu7r8e5aU+DyXlPhuAhMnZtOkiY4J5QkKywqIRv1+PFxsnEj447K7O7tsbfV/MJqa/LK52ec9EPB/LAKBbDIbmAIBf/wEgz6FQv64yHzX06Yd+UeyqcmPc9q40ZcX8H9aolGfIhG/zeJin0pK/DIczr5vJoE/dpNJv0yl/OdsbR2YYjE/fWRlpU8TJvjvuLPTH9Pt7X7Z3e0Hlk+f7lNFRfb77e72+2rv3mz5jkZ92cgsM+/fP4VCUFY2MEWjB3+3yeTAvLS1+SBksGMtHvept9enaDT7nWVSMOif3z/F4wcfEwUF/rNWVPiGiIoKn+/2dl8mOjr87UTCPz5+fDaVlR18DGbeJxYb+F10dAz8jJltHrgPUym/jf7L5mbfxTjThbm11b9XUVG2V8yMGT4v69b5RoDM+b2mBp54wj8+nI7bAM7MzgZuBoLAbc65bx/u+QrgZDg9/LAv0JmTeuYHsroapkwZ/HW1tXD99fDjH/sTVCjkT36Z5ezZfizHwoV+uWCBPwHVvVRL/a+ep+7JTdRt3U+KACV0UlKYoqQiRPGEKPs7Hdt2BtiWmsk2atgWnEOzG0fE4oRdjIjrIexixIiwixm4foPTJ4RaCZgj5YyUC5DCSLoAvRTQ60Kk3MFNuAUFjnDY/zC2t0MyefS1ZBXRbuYW7WGu20S0pZaNwUVsKDiZ1p7Co97G5MmOOXOMcDj945I5iyeThMNGpChAtDhItDBAJJIORrpT9HQm6O5M0r0/Re2+ENv3FtCbGLyJuiLYTmWwlWC0gEBhhEBRhEBRlN5kkIYG/8NwqNNrcbEP5CZO9PczgXr/gL27OxusHerPwJGEQo6qyiSTJ/RSHIrT2Z6ksxM6uoJ0xgroSBy5CToaSRGOGM7ZgB/CTLB4NILB7I/l2xEIOKZNdUyZaoRCNiDw6+31QX9jY/b5BQX+NbHY6KyhLSpyVFUZra1+ELrkTnlpkplT4sycHKe6Kkb1pB7CBY5dTUXs3BdlZ12YXXUh4r3GksUpTjsNTl9q/M3pASZVjczxdVwGcGYWBDYBZwG7gXXAxc65QedaUAAno5lzb6NVMFPdMmWK/9veX08P/OUv8Pzzvu5/796Bf4srKiASoae5iy07w2zaU8ymfRXsbPdVBQFzvvbEHAGXpKCtkXB7IwXEKaCXEAkSFBAjTJwwMSLEiFBOG5Op60tV1BMmTjeFdFHUtyyhk7lspjLQgs2u8dV/S5fClVfiKsZRX5+tgewLjt0+Kr/3VQrW/IRtzGIj832yBWwtmEcy5asfzKUwHA6jlwJ6iBIjQg+F9FiUkEtQSBdReiikmwgxJlPHbLZyAm8ym63MZitBkuxiBjsDNeyqOImdxQto7C3HtbSSisVJESBFgGA0zMRgM5MCjUwMNDLRmigJdNEYmEQdk6llCnWpSTQkxxMgScglKHBxCogTcr0U0k2h6/ZLuom6boqS7RT1tlOY6qSILgrpJkycIMm+FAgGKE21McXtYQJNBDjEub2wEKZNI1E1jabiahrC02gITWGfVdHUVUjP9jpiO+t9QEuUWLCYQDRMIBwiGAkRiBQQjASJBhNEA3EKA7G+ZXmqhQmJesb31jM+VktFdy2heJcfzR3vJZVIkiRIigAOG5BSBEgSJEGob9lJCTup7ks7mEmdTSUVKiAVLMAFQ7hgiEDQmB3Zy4LIVhaENjM/uJmZiTcJ7N1NqifWdzxmjrX9FGdTyWTi0bJ+36JP5lIEUgmCybhfpuJEkt1UuGYqUi1UpJqpSDURIkEz42liAo1U0kglHdFJlAa7KLd2yqyDMusgGm9nX08pu5nObqazJzSLupI5jIt0MTXSxNRwI1PDjUwONxPoaKO7uZue1h66nc93kCRRenwK9BIZX0zSBWhvSdKeKqadMtopo5tC/50GgriSUlxJKcFomLJAJ+XWTjltlNFOSaodi6Wrr2Ix/28h0UvYEoQLHAUh/ycsFHT0dKXY321931knJTgMSx9fhsOCQcLJbBkqpJsoPSQI0cI4WqmglQpaGEeCEKV0UEZ73zJIkhbG0cI4mhlPM+Npozx73Eai/lxVXk4kmMh+F/QQcT2U9TZRFm+kvLuOsu56yvbXEnY9BHB95y4zCCRi+L+hmSPvbQqFfDX9MM8KcLwGcMuArzvnVqTv/wuAc+76wV6jAE5kiHR1+bbOjRt9FUimvax/O1l5ebZ9KdPGZJZt58i0eRQW+qCtpsZX3R2Ljg7f9rFrV3ZZW+vbfvq3GxYX+zx2dQ1M4bB/Tmmpb7cpKaGv+g6yy7Iy30mxunpge55z/v1efNGnbdsObsfq3/aTaf/JVLWGw77KKJMObM8LBHz7X2FhNmXayjJt4JlkdnB717hxvg1y2rSBbXeDcc63G69d64P+1tbsvsq0eWX+aWSqwcwGtrVlvu9I5ODPFw5n12dSYaE/VsrK/LK83H/2fft81F5f75cNDb59sqMju+zqym43k6JR/3lnzcqmGTP88zPtZTt2+NTVNXBfO5dtx+2fDtwnwaDPd6ZddMYM/54H/nnKbLeuzpeVjRv95QK3bPH7r//7QrZ9e9Kkfm3ck3y1bVWVb1/M9FPI9FGorx/4He3bl01tbQM/Q+Z2/z4MhYV+n2T6RGRSIuEfz5SNTFlKJHw7bFeXX+7f79dPmwZTp2ZTcfHB7fyZvhuZchCL+e1lmhwyKR73ZWnrVn88vvmmD5Yy7e39U3Fxtgxn+gsc2M6bSvljI/N5MykSye7PTEqlsnnsnzLV5P2rzL/ylewsA8PkeA3gPgKc7Zz7dPr+J4DTnXNXHvC8zwCfAaiurn7Xjh07RjyvIiIiIsdqsABuTMxB4Jz7kXNuiXNuycRMxxMRERGRPJXvAdweoP/4j+npdSIiIiLHrXwP4NYBc82sxszCwEXAQznOk4iIiMiwGubp54aXcy5hZlcCv8NPI3KHc+71HGdLREREZFjldQAH4Jz7LfDbXOdDREREZKTkexOqiIiIyJijAE5EREQkzyiAExEREckzCuBERERE8owCOBEREZE8owBOREREJM8ogBMRERHJMwrgRERERPKMAjgRERGRPKMATkRERCTPKIATERERyTMK4ERERETyjAI4ERERkTyjAE5EREQkzyiAExEREckzCuBERERE8owCOBEREZE8owBOREREJM+Ycy7XeRhRZtYA7Bjmt6kEGof5PeSt0b4ZnbRfRi/tm9FJ+2V0Go79MtM5N/HAlWMugBsJZvaCc25JrvMhB9O+GZ20X0Yv7ZvRSftldBrJ/aImVBEREZE8owBOREREJM8ogBseP8p1BmRQ2jejk/bL6KV9Mzppv4xOI7Zf1AdOREREJM+oBk5EREQkzyiAExEREckzCuCGmJmdbWZ/NbMtZvblXOdnrDKzGWb2uJltMLPXzeya9PrxZvaomW1OL8flOq9jkZkFzewlM/t1+n6Nma1Nl5tfmFk413kci8yswszuM7ONZvaGmS1Tmck9M/t8+jz2mpn93MyiKjO5YWZ3mNk+M3ut37pDlhHzVqf30StmdupQ5kUB3BAysyBwC/AhYCFwsZktzG2uxqwEsMo5txBYCvzv9L74MvBH59xc4I/p+zLyrgHe6Hf//wI3OefmAC3A5TnJldwMPOKcmw+cjN9HKjM5ZGbTgKuBJc65dwBB4CJUZnLlJ8DZB6wbrIx8CJibTp8Bbh3KjCiAG1qnAVucc1udc3HgXuC8HOdpTHLO1TrnXkzf7sD/EE3D74+70k+7Czg/Nzkcu8xsOvD3wG3p+wacAdyXfor2Sw6YWTnwv4DbAZxzcedcKyozo0EIKDSzEFAE1KIykxPOuSeB5gNWD1ZGzgPudt6fgQozmzJUeVEAN7SmAbv63d+dXic5ZGazgMXAWqDKOVebfqgOqMpRtsay7wFfBFLp+xOAVudcIn1f5SY3aoAG4M508/ZtZlaMykxOOef2ADcAO/GBWxuwHpWZ0WSwMjKsMYECODmumVkJ8N/A55xz7f0fc34OHc2jM4LM7Bxgn3Nufa7zIgcJAacCtzrnFgP7OaC5VGVm5KX7U52HD7CnAsUc3IQno8RIlhEFcENrDzCj3/3p6XWSA2ZWgA/e1jjn7k+vrs9UYaeX+3KVvzHqPcC5ZrYd38XgDHy/q4p08xCo3OTKbmC3c25t+v59+IBOZSa3zgS2OecanHO9wP34cqQyM3oMVkaGNSZQADe01gFz06ODwviOpg/lOE9jUrpf1e3AG865G/s99BDwyfTtTwIPjnTexjLn3L8456Y752bhy8djzrmVwOPAR9JP037JAedcHbDLzOalV30A2IDKTK7tBJaaWVH6vJbZLyozo8dgZeQh4NL0aNSlQFu/pta3TVdiGGJm9nf4Pj5B4A7n3LdynKUxyczeCzwFvEq2r9X/wfeD+yVQDewAPuacO7BDqowAM/tb4Frn3DlmNhtfIzceeAm4xDkXy2X+xiIzOwU/uCQMbAUuw//RV5nJITP7N+BC/Oj6l4BP4/tSqcyMMDP7OfC3QCVQD3wNeIBDlJF0wP19fJN3F3CZc+6FIcuLAjgRERGR/KImVBEREZE8owBOREREJM8ogBMRERHJMwrgRERERPKMAjgRERGRPKMATkTGPDNLmtlf+qUhu2C7mc0ys9eGansiIuAvnSIiMtZ1O+dOyXUmRESOlmrgREQGYWbbzew7ZvaqmT1vZnPS62eZ2WNm9oqZ/dHMqtPrq8zsf8zs5XR6d3pTQTP7sZm9bma/N7PC9POvNrMN6e3cm6OPKSJ5SAGciAgUHtCEemG/x9qccyfhZ1T/XnrdfwJ3OefeCawBVqfXrwaecM6djL+O6Ovp9XOBW5xzi4BW4MPp9V8GFqe389nh+nAicvzRlRhEZMwzs07nXMkh1m8HznDObTWzAqDOOTfBzBqBKc653vT6WudcpZk1ANP7X9LIzGYBjzrn5qbvfwkocM5908weATrxl+J5wDnXOcwfVUSOE6qBExE5PDfI7WPR/xqVSbL9j/8euAVfW7fOzNQvWUSOigI4EZHDu7Df8rn07WeBi9K3VwJPpW//EbgCwMyCZlY+2EbNLADMcM49DnwJKAcOqgUUETkU/dsTEUn3get3/xHnXGYqkXFm9gq+Fu3i9LqrgDvN7J+BBuCy9PprgB+Z2eX4mrYrgNpB3jMI3JMO8gxY7ZxrHbJPJCLHNfWBExEZRLoP3BLnXGOu8yIi0p+aUEVERETyjGrgRERERPKMauBERERE8owCOBEREZE8owBOREREJM8ogBMRERHJMwrgRERERPLM/wftY8wPStxD3QAAAABJRU5ErkJggg==\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "# Your code here\n", - "plt.figure(figsize=(10,10))\n", - "loss_train = history.history['loss'] # training loss\n", - "loss_val = history.history['val_loss'] # validation loss\n", - "epochs = range(0,100) # since epochs=100\n", - "\n", - "#Plotting training loss and validation against epochs\n", - "plt.plot(epochs, loss_train, 'r', label='Training loss')\n", - "plt.plot(epochs, loss_val, 'b', label='validation loss')\n", - "\n", - "plt.title('Training and Validation loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IVrR_vXA7kOt" - }, - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "-lOHpD8-7ggm", - "outputId": "e32e25c2-52bb-4d39-c812-24e152191289" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 19712.02722145461\n", - "Accuracy: 0.9933118824242653\n" - ] - } - ], - "source": [ - "# Insert the function for R2 Score\n", - "y_pred = model.predict(X_test)\n", - "import numpy as np\n", - "def mean_squared_error(y_true, y_pred):\n", - " return np.mean(np.square(y_true - y_pred))\n", - "\n", - "from sklearn.metrics import r2_score\n", - "\n", - "mse = mean_squared_error(y_test, y_pred) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test, y_pred) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "CHqzF1OU0pBg" - }, - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jF8oTUqq0y0g" - }, - "source": [ - "#CUSTOM MODEL" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "qbt-OVB4zZw8" - }, - "source": [ - "Model Definition: \n", - "* Input of shape 5 \n", - "* Dense of shape 5 \n", - "* Dense of shape 7\n", - "* Dense of shape 9\n", - "* Dense of shape 10\n", - "* Dense of shape 11\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 162, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "1XOk5hJu0oSQ", - "outputId": "9e83bfb8-9ffc-4fe3-8649-87368b385d3a" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_25\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " layer1 (Dense) (None, 5) 30 \n", - " \n", - " layer2 (Dense) (None, 7) 42 \n", - " \n", - " layer3 (Dense) (None, 9) 72 \n", - " \n", - " layer4 (Dense) (None, 10) 100 \n", - " \n", - " layer5 (Dense) (None, 11) 121 \n", - " \n", - "=================================================================\n", - "Total params: 365\n", - "Trainable params: 365\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "from tensorflow.keras import layers\n", - "Model = keras.Sequential([\n", - " layers.Dense(5, activation=\"relu\", name = \"layer1\", input_shape=(5,)),\n", - " layers.Dense(7, activation=\"relu\", name = \"layer2\"),\n", - " layers.Dense(9, activation=\"relu\", name = \"layer3\"),\n", - " layers.Dense(10, activation=\"relu\", name = \"layer4\"),\n", - " layers.Dense(11, activation=\"relu\", name = \"layer5\")\n", - "])\n", - "Model.summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "3Oqq6j4U2G05" - }, - "source": [ - "Optimizer used **Adam** and **Mean Squared Error** loss" - ] - }, - { - "cell_type": "code", - "execution_count": 163, - "metadata": { - "id": "aS0ROZa402Lo" - }, - "outputs": [], - "source": [ - "opt = keras.optimizers.Adam(learning_rate=0.01)\n", - "Model.compile(loss='mse', optimizer=opt, metrics=['mse'])" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "3UzgdGRR3FqJ" - }, - "source": [ - "#MODEL FITTING" - ] - }, - { - "cell_type": "code", - "execution_count": 164, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "ua5q5pNY3KIi", - "outputId": "4395b4f9-011a-47a7-ac87-f0ae4ffb2262" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/110\n", - "2/2 [==============================] - 1s 172ms/step - loss: 11429.8389 - mse: 11429.8389 - val_loss: 11817.8770 - val_mse: 11817.8770\n", - "Epoch 2/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 11428.3945 - mse: 11428.3945 - val_loss: 11813.4512 - val_mse: 11813.4512\n", - "Epoch 3/110\n", - "2/2 [==============================] - 0s 26ms/step - loss: 11425.0830 - mse: 11425.0830 - val_loss: 11807.1797 - val_mse: 11807.1797\n", - "Epoch 4/110\n", - "2/2 [==============================] - 0s 25ms/step - loss: 11420.6426 - mse: 11420.6426 - val_loss: 11797.4785 - val_mse: 11797.4785\n", - "Epoch 5/110\n", - "2/2 [==============================] - 0s 25ms/step - loss: 11413.3506 - mse: 11413.3506 - val_loss: 11781.8545 - val_mse: 11781.8545\n", - "Epoch 6/110\n", - "2/2 [==============================] - 0s 24ms/step - loss: 11403.8467 - mse: 11403.8467 - val_loss: 11760.3018 - val_mse: 11760.3018\n", - "Epoch 7/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 11388.7871 - mse: 11388.7871 - val_loss: 11733.5645 - val_mse: 11733.5645\n", - "Epoch 8/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 11374.9043 - mse: 11374.9043 - val_loss: 11697.6953 - val_mse: 11697.6953\n", - "Epoch 9/110\n", - "2/2 [==============================] - 0s 25ms/step - loss: 11347.9834 - mse: 11347.9834 - val_loss: 11650.4727 - val_mse: 11650.4727\n", - "Epoch 10/110\n", - "2/2 [==============================] - 0s 25ms/step - loss: 11318.1768 - mse: 11318.1768 - val_loss: 11590.8438 - val_mse: 11590.8438\n", - "Epoch 11/110\n", - "2/2 [==============================] - 0s 25ms/step - loss: 11269.9199 - mse: 11269.9199 - val_loss: 11515.3789 - val_mse: 11515.3789\n", - "Epoch 12/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 11213.3799 - mse: 11213.3799 - val_loss: 11418.4531 - val_mse: 11418.4531\n", - "Epoch 13/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 11135.7949 - mse: 11135.7949 - val_loss: 11294.0840 - val_mse: 11294.0840\n", - "Epoch 14/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 11034.2520 - mse: 11034.2520 - val_loss: 11135.0264 - val_mse: 11135.0264\n", - "Epoch 15/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 10903.6445 - mse: 10903.6445 - val_loss: 10939.8730 - val_mse: 10939.8730\n", - "Epoch 16/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 10746.9111 - mse: 10746.9111 - val_loss: 10699.4355 - val_mse: 10699.4355\n", - "Epoch 17/110\n", - "2/2 [==============================] - 0s 25ms/step - loss: 10551.6670 - mse: 10551.6670 - val_loss: 10417.6240 - val_mse: 10417.6240\n", - "Epoch 18/110\n", - "2/2 [==============================] - 0s 25ms/step - loss: 10346.1768 - mse: 10346.1768 - val_loss: 10101.8936 - val_mse: 10101.8936\n", - "Epoch 19/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 10050.8232 - mse: 10050.8232 - val_loss: 9770.4014 - val_mse: 9770.4014\n", - "Epoch 20/110\n", - "2/2 [==============================] - 0s 24ms/step - loss: 9785.2715 - mse: 9785.2715 - val_loss: 9435.6797 - val_mse: 9435.6797\n", - "Epoch 21/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 9546.2354 - mse: 9546.2354 - val_loss: 9149.1611 - val_mse: 9149.1611\n", - "Epoch 22/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 9276.3398 - mse: 9276.3398 - val_loss: 8953.8262 - val_mse: 8953.8262\n", - "Epoch 23/110\n", - "2/2 [==============================] - 0s 26ms/step - loss: 9093.3379 - mse: 9093.3379 - val_loss: 8857.4170 - val_mse: 8857.4170\n", - "Epoch 24/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 8970.4609 - mse: 8970.4609 - val_loss: 8790.2207 - val_mse: 8790.2207\n", - "Epoch 25/110\n", - "2/2 [==============================] - 0s 29ms/step - loss: 8859.5107 - mse: 8859.5107 - val_loss: 8644.7344 - val_mse: 8644.7344\n", - "Epoch 26/110\n", - "2/2 [==============================] - 0s 36ms/step - loss: 8681.2256 - mse: 8681.2256 - val_loss: 8416.4746 - val_mse: 8416.4746\n", - "Epoch 27/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 8491.6553 - mse: 8491.6553 - val_loss: 8226.7305 - val_mse: 8226.7305\n", - "Epoch 28/110\n", - "2/2 [==============================] - 0s 29ms/step - loss: 8351.6699 - mse: 8351.6699 - val_loss: 8071.3203 - val_mse: 8071.3203\n", - "Epoch 29/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 8227.9453 - mse: 8227.9453 - val_loss: 7940.1323 - val_mse: 7940.1323\n", - "Epoch 30/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 8102.4575 - mse: 8102.4575 - val_loss: 7830.5190 - val_mse: 7830.5190\n", - "Epoch 31/110\n", - "2/2 [==============================] - 0s 25ms/step - loss: 7997.0752 - mse: 7997.0752 - val_loss: 7743.6025 - val_mse: 7743.6025\n", - "Epoch 32/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7907.8921 - mse: 7907.8921 - val_loss: 7679.8140 - val_mse: 7679.8140\n", - "Epoch 33/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7839.9561 - mse: 7839.9561 - val_loss: 7625.7134 - val_mse: 7625.7134\n", - "Epoch 34/110\n", - "2/2 [==============================] - 0s 25ms/step - loss: 7774.9619 - mse: 7774.9619 - val_loss: 7573.6792 - val_mse: 7573.6792\n", - "Epoch 35/110\n", - "2/2 [==============================] - 0s 25ms/step - loss: 7724.4067 - mse: 7724.4067 - val_loss: 7527.1465 - val_mse: 7527.1465\n", - "Epoch 36/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7686.8750 - mse: 7686.8750 - val_loss: 7506.5859 - val_mse: 7506.5859\n", - "Epoch 37/110\n", - "2/2 [==============================] - 0s 26ms/step - loss: 7670.3320 - mse: 7670.3320 - val_loss: 7495.8242 - val_mse: 7495.8242\n", - "Epoch 38/110\n", - "2/2 [==============================] - 0s 26ms/step - loss: 7659.7407 - mse: 7659.7407 - val_loss: 7497.3833 - val_mse: 7497.3833\n", - "Epoch 39/110\n", - "2/2 [==============================] - 0s 31ms/step - loss: 7648.8003 - mse: 7648.8003 - val_loss: 7500.1724 - val_mse: 7500.1724\n", - "Epoch 40/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 7647.5840 - mse: 7647.5840 - val_loss: 7501.0635 - val_mse: 7501.0635\n", - "Epoch 41/110\n", - "2/2 [==============================] - 0s 32ms/step - loss: 7647.0830 - mse: 7647.0830 - val_loss: 7499.6099 - val_mse: 7499.6099\n", - "Epoch 42/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7643.8198 - mse: 7643.8198 - val_loss: 7490.7935 - val_mse: 7490.7935\n", - "Epoch 43/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7641.0918 - mse: 7641.0918 - val_loss: 7482.0078 - val_mse: 7482.0078\n", - "Epoch 44/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 7633.6187 - mse: 7633.6187 - val_loss: 7467.5278 - val_mse: 7467.5278\n", - "Epoch 45/110\n", - "2/2 [==============================] - 0s 32ms/step - loss: 7627.6689 - mse: 7627.6689 - val_loss: 7454.3516 - val_mse: 7454.3516\n", - "Epoch 46/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7621.4277 - mse: 7621.4277 - val_loss: 7448.3833 - val_mse: 7448.3833\n", - "Epoch 47/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7613.1890 - mse: 7613.1890 - val_loss: 7440.0903 - val_mse: 7440.0903\n", - "Epoch 48/110\n", - "2/2 [==============================] - 0s 29ms/step - loss: 7610.8408 - mse: 7610.8408 - val_loss: 7437.2534 - val_mse: 7437.2534\n", - "Epoch 49/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7606.9082 - mse: 7606.9082 - val_loss: 7430.2886 - val_mse: 7430.2886\n", - "Epoch 50/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 7604.1167 - mse: 7604.1167 - val_loss: 7420.5469 - val_mse: 7420.5469\n", - "Epoch 51/110\n", - "2/2 [==============================] - 0s 36ms/step - loss: 7603.0806 - mse: 7603.0806 - val_loss: 7415.0337 - val_mse: 7415.0337\n", - "Epoch 52/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 7601.0781 - mse: 7601.0781 - val_loss: 7415.9893 - val_mse: 7415.9893\n", - "Epoch 53/110\n", - "2/2 [==============================] - 0s 25ms/step - loss: 7598.3330 - mse: 7598.3330 - val_loss: 7418.2124 - val_mse: 7418.2124\n", - "Epoch 54/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7596.2070 - mse: 7596.2070 - val_loss: 7417.7603 - val_mse: 7417.7603\n", - "Epoch 55/110\n", - "2/2 [==============================] - 0s 26ms/step - loss: 7595.3008 - mse: 7595.3008 - val_loss: 7413.7876 - val_mse: 7413.7876\n", - "Epoch 56/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7593.0684 - mse: 7593.0684 - val_loss: 7409.9502 - val_mse: 7409.9502\n", - "Epoch 57/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7591.8184 - mse: 7591.8184 - val_loss: 7407.7871 - val_mse: 7407.7871\n", - "Epoch 58/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7590.3394 - mse: 7590.3394 - val_loss: 7405.0005 - val_mse: 7405.0005\n", - "Epoch 59/110\n", - "2/2 [==============================] - 0s 45ms/step - loss: 7588.8555 - mse: 7588.8555 - val_loss: 7398.0000 - val_mse: 7398.0000\n", - "Epoch 60/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7587.5820 - mse: 7587.5820 - val_loss: 7395.0830 - val_mse: 7395.0830\n", - "Epoch 61/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 7586.4712 - mse: 7586.4712 - val_loss: 7394.1245 - val_mse: 7394.1245\n", - "Epoch 62/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7585.5732 - mse: 7585.5732 - val_loss: 7392.5049 - val_mse: 7392.5049\n", - "Epoch 63/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7585.0176 - mse: 7585.0176 - val_loss: 7389.0566 - val_mse: 7389.0566\n", - "Epoch 64/110\n", - "2/2 [==============================] - 0s 29ms/step - loss: 7584.2012 - mse: 7584.2012 - val_loss: 7388.0864 - val_mse: 7388.0864\n", - "Epoch 65/110\n", - "2/2 [==============================] - 0s 32ms/step - loss: 7583.6377 - mse: 7583.6377 - val_loss: 7386.5049 - val_mse: 7386.5049\n", - "Epoch 66/110\n", - "2/2 [==============================] - 0s 49ms/step - loss: 7583.1006 - mse: 7583.1006 - val_loss: 7385.3257 - val_mse: 7385.3257\n", - "Epoch 67/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7582.7637 - mse: 7582.7637 - val_loss: 7384.1055 - val_mse: 7384.1055\n", - "Epoch 68/110\n", - "2/2 [==============================] - 0s 46ms/step - loss: 7582.0669 - mse: 7582.0669 - val_loss: 7385.1328 - val_mse: 7385.1328\n", - "Epoch 69/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7581.7725 - mse: 7581.7725 - val_loss: 7384.3984 - val_mse: 7384.3984\n", - "Epoch 70/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7581.2778 - mse: 7581.2778 - val_loss: 7381.7461 - val_mse: 7381.7461\n", - "Epoch 71/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7581.1089 - mse: 7581.1089 - val_loss: 7377.7656 - val_mse: 7377.7656\n", - "Epoch 72/110\n", - "2/2 [==============================] - 0s 29ms/step - loss: 7580.6714 - mse: 7580.6714 - val_loss: 7378.3301 - val_mse: 7378.3301\n", - "Epoch 73/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7580.1025 - mse: 7580.1025 - val_loss: 7377.9224 - val_mse: 7377.9224\n", - "Epoch 74/110\n", - "2/2 [==============================] - 0s 38ms/step - loss: 7580.0298 - mse: 7580.0298 - val_loss: 7375.9043 - val_mse: 7375.9043\n", - "Epoch 75/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 7579.4785 - mse: 7579.4785 - val_loss: 7376.0752 - val_mse: 7376.0752\n", - "Epoch 76/110\n", - "2/2 [==============================] - 0s 32ms/step - loss: 7579.2627 - mse: 7579.2627 - val_loss: 7375.0044 - val_mse: 7375.0044\n", - "Epoch 77/110\n", - "2/2 [==============================] - 0s 33ms/step - loss: 7579.0869 - mse: 7579.0869 - val_loss: 7371.3867 - val_mse: 7371.3867\n", - "Epoch 78/110\n", - "2/2 [==============================] - 0s 37ms/step - loss: 7578.7573 - mse: 7578.7573 - val_loss: 7368.9443 - val_mse: 7368.9443\n", - "Epoch 79/110\n", - "2/2 [==============================] - 0s 31ms/step - loss: 7578.8125 - mse: 7578.8125 - val_loss: 7367.5479 - val_mse: 7367.5479\n", - "Epoch 80/110\n", - "2/2 [==============================] - 0s 26ms/step - loss: 7577.9609 - mse: 7577.9609 - val_loss: 7368.8037 - val_mse: 7368.8037\n", - "Epoch 81/110\n", - "2/2 [==============================] - 0s 29ms/step - loss: 7577.9932 - mse: 7577.9932 - val_loss: 7367.5742 - val_mse: 7367.5742\n", - "Epoch 82/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7577.7207 - mse: 7577.7207 - val_loss: 7364.7661 - val_mse: 7364.7661\n", - "Epoch 83/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 7577.5791 - mse: 7577.5791 - val_loss: 7361.5068 - val_mse: 7361.5068\n", - "Epoch 84/110\n", - "2/2 [==============================] - 0s 26ms/step - loss: 7577.4258 - mse: 7577.4258 - val_loss: 7360.4097 - val_mse: 7360.4097\n", - "Epoch 85/110\n", - "2/2 [==============================] - 0s 32ms/step - loss: 7567.8765 - mse: 7567.8765 - val_loss: 7307.8477 - val_mse: 7307.8477\n", - "Epoch 86/110\n", - "2/2 [==============================] - 0s 34ms/step - loss: 7506.7344 - mse: 7506.7344 - val_loss: 7215.0703 - val_mse: 7215.0703\n", - "Epoch 87/110\n", - "2/2 [==============================] - 0s 29ms/step - loss: 7430.1992 - mse: 7430.1992 - val_loss: 7106.1045 - val_mse: 7106.1045\n", - "Epoch 88/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7330.8384 - mse: 7330.8384 - val_loss: 7000.6431 - val_mse: 7000.6431\n", - "Epoch 89/110\n", - "2/2 [==============================] - 0s 29ms/step - loss: 7241.8867 - mse: 7241.8867 - val_loss: 6905.9688 - val_mse: 6905.9688\n", - "Epoch 90/110\n", - "2/2 [==============================] - 0s 31ms/step - loss: 7171.8613 - mse: 7171.8613 - val_loss: 6829.4878 - val_mse: 6829.4878\n", - "Epoch 91/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7111.5400 - mse: 7111.5400 - val_loss: 6776.6001 - val_mse: 6776.6001\n", - "Epoch 92/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7060.2715 - mse: 7060.2715 - val_loss: 6743.3174 - val_mse: 6743.3174\n", - "Epoch 93/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7037.3228 - mse: 7037.3228 - val_loss: 6728.5879 - val_mse: 6728.5879\n", - "Epoch 94/110\n", - "2/2 [==============================] - 0s 26ms/step - loss: 7029.0713 - mse: 7029.0713 - val_loss: 6729.0317 - val_mse: 6729.0317\n", - "Epoch 95/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7030.5449 - mse: 7030.5449 - val_loss: 6733.2949 - val_mse: 6733.2949\n", - "Epoch 96/110\n", - "2/2 [==============================] - 0s 25ms/step - loss: 7039.0156 - mse: 7039.0156 - val_loss: 6738.5176 - val_mse: 6738.5176\n", - "Epoch 97/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 7044.5957 - mse: 7044.5957 - val_loss: 6737.8818 - val_mse: 6737.8818\n", - "Epoch 98/110\n", - "2/2 [==============================] - 0s 38ms/step - loss: 7045.5918 - mse: 7045.5918 - val_loss: 6731.7314 - val_mse: 6731.7314\n", - "Epoch 99/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7041.7764 - mse: 7041.7764 - val_loss: 6721.8076 - val_mse: 6721.8076\n", - "Epoch 100/110\n", - "2/2 [==============================] - 0s 26ms/step - loss: 7036.5288 - mse: 7036.5288 - val_loss: 6709.5547 - val_mse: 6709.5547\n", - "Epoch 101/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 7031.8047 - mse: 7031.8047 - val_loss: 6703.3765 - val_mse: 6703.3765\n", - "Epoch 102/110\n", - "2/2 [==============================] - 0s 31ms/step - loss: 7027.2256 - mse: 7027.2256 - val_loss: 6704.6406 - val_mse: 6704.6406\n", - "Epoch 103/110\n", - "2/2 [==============================] - 0s 31ms/step - loss: 7025.2534 - mse: 7025.2534 - val_loss: 6707.4780 - val_mse: 6707.4780\n", - "Epoch 104/110\n", - "2/2 [==============================] - 0s 30ms/step - loss: 7024.0576 - mse: 7024.0576 - val_loss: 6705.2852 - val_mse: 6705.2852\n", - "Epoch 105/110\n", - "2/2 [==============================] - 0s 29ms/step - loss: 7023.3926 - mse: 7023.3926 - val_loss: 6706.2046 - val_mse: 6706.2046\n", - "Epoch 106/110\n", - "2/2 [==============================] - 0s 47ms/step - loss: 7023.8413 - mse: 7023.8413 - val_loss: 6708.1382 - val_mse: 6708.1382\n", - "Epoch 107/110\n", - "2/2 [==============================] - 0s 26ms/step - loss: 7023.8545 - mse: 7023.8545 - val_loss: 6710.9194 - val_mse: 6710.9194\n", - "Epoch 108/110\n", - "2/2 [==============================] - 0s 27ms/step - loss: 7024.1304 - mse: 7024.1304 - val_loss: 6714.3691 - val_mse: 6714.3691\n", - "Epoch 109/110\n", - "2/2 [==============================] - 0s 28ms/step - loss: 7024.3838 - mse: 7024.3838 - val_loss: 6712.9683 - val_mse: 6712.9683\n", - "Epoch 110/110\n", - "2/2 [==============================] - 0s 29ms/step - loss: 7023.8286 - mse: 7023.8286 - val_loss: 6708.8276 - val_mse: 6708.8276\n" - ] - } - ], - "source": [ - "history = Model.fit(X_train, y_train, epochs=110, validation_data=(X_val, y_val))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "LnA1YZB23Wq4" - }, - "source": [ - "Calculating Mean squared error and loss" - ] - }, - { - "cell_type": "code", - "execution_count": 165, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "9y3U8QI23UvZ", - "outputId": "e6689470-dea5-49b2-b2a8-5a807a6db06b" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1/1 [==============================] - 0s 23ms/step - loss: 5586.5889 - mse: 5586.5889\n", - "MSE: 5586.589\n" - ] - } - ], - "source": [ - "loss,mse = Model.evaluate(X_test, y_test)\n", - "print('MSE: %.3f' % mse)" - ] - }, - { - "cell_type": "code", - "execution_count": 166, - "metadata": { - "id": "F_JtT5nj56uC", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 621 - }, - "outputId": "f3d044f4-e592-424d-8c38-1adb137e3cb6" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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OQz7OoXIEro79678mHnvECGvXwscfw6JFicfChTBvHjz8MOy5HVuzZnDUUXDuuYlH797pqV+SpEzQo0cPHnnkkYN+/5133smll15Kq1atAHjqqafqqrSM4AhcPQsBOnVKjL598YuJcPfrX8MLLySC3YIF8Je/wPXXw7p18M1vwuGHw9ix8F//BZ9+mu5vIEnSwbn55pv51a9+tff1ntGrzZs3c/zxx3PEEUcwYsQInnjiiUrvXbx4MQUFBQBs27aNiy66iGHDhnHOOeewbdu2vf2uu+46iouLyc/P59ZbbwXgrrvuYvny5UycOJGJEycC0LdvX9asWQPAT3/6UwoKCigoKODOO+/c+3nDhg3j6quvJj8/n5NOOmmfz6nKrFmzOOqooygsLOScc85h3bp1ez9/+PDhFBYWctFFFwEwZcoURo0axahRoygqKmLTpk0H9ZvuFWPMqsfo0aNjJps3L8Yf/SjG4uIYIcZmzWK84ooY33033ZVJkhqa2bNn731+ww0xTphQt48bbqj582fOnBnHjx+/9/WwYcPiJ598Enft2hU3bNgQY4xx9erVccCAAbGsrCzGGGPr1q1jjDEuWrQo5ufnxxhj/MlPfhKvuOKKGGOM77zzTszJyYlvvfVWjDHGkpKSGGOMpaWlccKECfGdd96JMcbYp0+fuHr16r2fvef19OnTY0FBQdy8eXPctGlTHD58eJw5c2ZctGhRzMnJiW+//XaMMcbzzz8/Pvjgg5W+06233hp//OMfxxhjHDFiRHz55ZdjjDF+73vfizckf5Du3bvH7du3xxhjXLduXYwxxtNPPz1OmzYtxhjjpk2b4q5duyodu/zfaw9geqwizzgCl2EGD4abb4a33oIPP4Srr06M0BUWwsknw3PPJaZlJUnKdEVFRaxatYrly5fzzjvv0KFDB3r37k2Mke985zsUFhZywgknsGzZMlauXFntcaZOncqll14KQGFhIYWFhXv3PfzwwxxxxBEUFRXxwQcfMHv27BprmjZtGueccw6tW7emTZs2nHvuubzyyisA9OvXj1GjRgEwevRoFi9eXO1xNmzYwPr165kwYQIAl112GVOnTt1b4yWXXMIf/vAHmjZNnK02btw4brzxRu666y7Wr1+/t/1geQ5cBhs0CH75S/j+9+E3v4Ff/AJOOgk+/3m44w4oKkp3hZKkhiI5U5hy559/Po888giffvopF154IQB//OMfWb16NTNmzCA3N5e+ffuyffv2Az72okWLuOOOO3jrrbfo0KEDl19++UEdZ4/mzZvvfZ6Tk7PfKdTqTJ48malTp/L3v/+dH/zgB7z33nvcfPPNnHbaaTz11FOMGzeOZ555hqFDhx50rY7ANQAdO8IttyQWQPziF/DOOzB6NFx2GSxZku7qJEmq3oUXXshDDz3EI488wvnnnw8kRq+6du1Kbm4uL730Eh9//HGNxxg/fjx/+tOfAHj//fd59913Adi4cSOtW7emXbt2rFy5kqeffnrve9q2bVvleWbHHnssjz/+OFu3bmXLli089thjHHvssQf8vdq1a0eHDh32jt49+OCDTJgwgbKyMpYsWcLEiRO5/fbb2bBhA5s3b+ajjz5ixIgR3HTTTRx55JHMnTv3gD+zPEfgGpDmzRPXmbv0UvjRj+DnP0+sZP3udxMBLycn3RVKkrSv/Px8Nm3aRM+ePenevTsAl1xyCWeccQYjRoyguLh4vyNR1113HVdccQXDhg1j2LBhjB49GoCRI0dSVFTE0KFD6d27N+PGjdv7nmuuuYZTTjmFHj168NJLL+1tP+KII7j88ssZM2YMAF/5ylcoKiqqcbq0Og888ABf/epX2bp1K/379+f+++9n9+7dXHrppWzYsIEYI9dffz3t27fne9/7Hi+99BJNmjQhPz+fU0899YA/r7wQs+yEquLi4ri/a8c0FIsXw7e/DX/9K0ycCH/8IyT/tyFJEnPmzGHYsGHpLkO1VNXfK4QwI8ZYXLGvU6gNWN++iRG4+++HN96AkSPh2WfTXZUkSapvBrhG4PLLE6tWu3aFU05JTKmWlqa7KkmSVF8McI3E8OHw5ptw5ZXwwx/CRRd5ey5JUuJ6r8p8B/p3MsA1Iq1awb33Ju6/+uijcMEFsGNHuquSJKVLixYtKCkpMcRluBgjJSUltGjRotbvcRVqI/Stb0FuLnzjG4nbdz3yCBzAPxOSpEaiV69eLF26lNWrV6e7FO1HixYt6NWrV637G+Aaqa9/PRHivvpVOPtseOwxaNky3VVJklIpNzeXfv36pbsM1QOnUBuxa69NTKk++yyceabnxEmS1FgY4Bq5q66C++6D55+H669PdzWSJKkuOIWaBa64AubNg9tvT9w/9dpr012RJEk6FI7AZYkf/ABOPTVxbty0aemuRpIkHQoDXJbIyYE//Qn69UusTF26NN0VSZKkg2WAyyLt28MTT8C2bXDOOYmtJElqeAxwWWbYMPjDH2D6dBc1SJLUUBngstCZZ8JNNyUuMfLCC+muRpIkHSgDXJa69VYYODCxItWpVEmSGhYDXJZq2RLuvhs++gj+/d/TXY0kSToQBrgsNnEiXHkl3HEHvP12uquRJEm1ZYDLcj/+MXTuDFdfDaWl6a5GkiTVhgEuy3XsCHfdBTNmJLaSJCnzGeDE+efDGWfA974HixenuxpJkrQ/BjgRAvzqV1BWBt//frqrkSRJ+2OAEwC9eycuKfL73ydWpkqSpMxlgNNeN90Eubnwwx+muxJJklQTA5z26t4drrkmMQq3cGG6q5EkSdUxwGkfN90EOTmOwkmSlMkMcNpHjx6Ja8I98IArUiVJylQGOFVy883QpImjcJIkZaqm6S6gsZn68VRWbFpBi6Yt9nkc1vwwOrbsSIeWHWiW0yzdZdaoZ8/EKNxvfgPf+Q707ZvuiiRJUnkGuDr2k3/+hCfnPVljn9a5renYsiPd2nQjr00e3Vp3o1ubbvRu15shnYYwpPMQ8lrnEUJIUdWV3Xwz3HMP/OhHiSAnSZIyR4gxpruGlCouLo7Tp0+vt+Mv37Sc9dvXs710O9tLt7OjdAfbSrexYfsG1m5by7rt61i7bS0l20pYuXklK7es5NPNn7JqyyrKYtne4xzW/DAGdxrMyLyRjO4+miO6H0FhXiEtc1vWW+0V/cu/wL33wtKl0LVryj5WkiQlhRBmxBiLK7Ub4DLD7rLdLN24lHkl8/iw5EPmrZnH3JK5vL3ibUq2lQCQE3IozCvk9MGnc/bQsynqVlSvo3SzZ0N+PtxxB/yv/1VvHyNJkqphgEvK1ABXnRgjSzYuYcbyGcxcMZOpn0xl2ifTKItl9D6sN2cPPZszh5zJsYcfS/Omzev8848+GjZsgA8+SNxyS5IkpY4BLqmhBbiqrNm6hn98+A8en/s4z3z0DNtLt9M6tzUn9D+BUweeyqmDTuXwdofXyWfde29iQcNrryXCnCRJSh0DXFJjCHDlbdm5hZcWv8TT859m8vzJfLzhYwC+OOyL3H7C7QzoOOCQjr9pU+IODRddlAhzkiQpdQxwSY0twJUXY2Tumrn8+f0/89N//pSdu3fy9TFf53vjv0eHlh0O+rhXXgl//SusWAFt2tRhwZIkqUbVBTgv5NuIhBAY1mUY35/4feZ/Yz6TRk7iztfvZMBdA/j56z+ntKz0oI571VWweTM8/HAdFyxJkg6KAa6R6t62O/eeeS+zvjqL4h7FfPOZb1J8dzFvLH3jgI91zDEwZAjcd189FCpJkg6YAa6RK8wr5JlLn+HRCx5lzdY1HH3f0Vz3j+tYv319rY8RQmIU7rXXYM6ceixWkiTVigEuC4QQOHfYucz52hxuGHsDd8+8m6G/HMrf5/291seYNAmaNnUUTpKkTGCAyyJtm7flZ6f8jOlXT6dH2x6c85dz+OsHf63Ve/Py4Iwz4Pe/h50767lQSZJUIwNcFirqXsSUy6dwdO+jufjRi2sd4q66Clavhn/8o54LlCRJNTLAZam2zdvy1Jee2hviHpn9yH7fc/LJ0KNHYhROkiSljwEui+0JcUf1OoqLHrmIR2c/WmP/pk3h7LPh2Wdh27YUFSlJkioxwGW5ts3b8vQlT3NUr6O48JELmfzh5Br7n3lmIry9+GKKCpQkSZUY4LQ3xI3qNooLH7mQdz59p9q+xx2XuBvDk0+mrj5JkrQvA5yARIh78uIn6dCyA6f/+XSWb1peZb/mzRPnwv3jH1BWluIiJUkSYIBTOT3a9uAfF/+D9dvXc8afz2DLzi1V9jvjDFi+HGbOTHGBkiQJMMCpgpHdRvLQFx9i1qezuORvl7C7bHelPl/4AjRpAn+v/XWAJUlSHTLAqZLTBp/Gz07+GU/Me4Kbn7+50v4uXeDooz0PTpKkdDHAqUrfGPMNriu+jjv+eQcvLqq85PTMM2HWLFiyJA3FSZKU5QxwqlIIgZ+c9BP6d+jPdZOvY0fpjn32n3lmYus0qiRJqWeAU7Va5rbk11/4NR+WfMh/TvvPffYNGQIDBxrgJElKBwOcanTywJO5MP9Cfjjth8wvmb+3PYTEKNyLL8KmTWksUJKkLGSA03797OSf0aJpC66bfB0xxr3tZ5wBO3fCc8+lsThJkrKQAU771b1td350/I94YdEL/Om9P+1tHzcOOnRwNaokSalmgFOtXDv6Wsb0HMONz97Ium3rAMjNhVNPhcmTYXfly8VJkqR6YoBTreQ0yeE3p/+Gkq0l/NtL/7a3/cwzYc0aeP31NBYnSVKWMcCp1kZ1G8WVRVdyz8x7WLFpBQAnnphY0PBi5UvFSZKkemKA0wG5adxN7Crbxc9e/xkAHTvCiBEwZUqaC5MkKYsY4HRABnQcwAX5F/Df0/9777lwxx0Hr72WWJEqSZLqnwFOB+yWz93C5p2b+eWbvwRgwgTYtg2mT09zYZIkZQkDnA5YYV4hpw06jZ+/8XO27NzC+PGJ9pdfTmtZkiRlDQOcDsp3jv0OJdtKuGfmPXTuDPn5ngcnSVKqGOB0UI7pfQzj+4znjtfuYOfunUyYAK++Crt2pbsySZIaPwOcDtp3Pvcdlm1axoPvPMiECbBlC8ycme6qJElq/AxwOmgnDTiJom5F3P7q7Xzu2MStGJxGlSSp/hngdNBCCNzyuVuYv3Y+b274O0OHGuAkSUqFegtwIYTfhhBWhRDeL9d2fgjhgxBCWQihuEL/W0IIC0II80IIJ5drPyXZtiCEcHO59n4hhDeS7X8JITSrr++i6p0z7By6tenG72b9jgkT4JVXoLQ03VVJktS41ecI3O+AUyq0vQ+cC0wt3xhCGA5cBOQn3/PrEEJOCCEH+BVwKjAcuDjZF+B24GcxxoHAOuCqevoeqkHTJk25ZMQlTJ4/mSOO2simTTBrVrqrkiSpcau3ABdjnAqsrdA2J8Y4r4ruZwEPxRh3xBgXAQuAMcnHghjjwhjjTuAh4KwQQgA+DzySfP8DwNn19FW0H5NGTqK0rJTVXR4FnEaVJKm+Zco5cD2BJeVeL022VdfeCVgfYyyt0F6lEMI1IYTpIYTpq1evrtPClbiw76huo3h8+a8ZONAAJ0lSfcuUAFevYox3xxiLY4zFXbp0SXc5jdKkwklMXz6dkUet45VXYPfudFckSVLjlSkBbhnQu9zrXsm26tpLgPYhhKYV2pUmXxrxJXJCDjt6PsP69fDee+muSJKkxitTAtyTwEUhhOYhhH7AIOBN4C1gUHLFaTMSCx2ejDFG4CXgvOT7LwOeSEPdSsprk8cpA0/hrdyfAE6jSpJUn+rzMiJ/Bv4JDAkhLA0hXBVCOCeEsBQ4GpgcQngGIMb4AfAwMBv4H+BrMcbdyXPcvg48A8wBHk72BbgJuDGEsIDEOXH31dd3Ue1MGjmJlU2n0633Vm9sL0lSPQqJwazsUVxcHKdPn57uMhql7aXb6XZHNzo9+yQb3h3P6tUQQrqrkiSp4QohzIgxFldsz5QpVDUCLZq24ML8C1ly2F8pKYFFi9JdkSRJjZMBTnXqslGXsSvvNQBmzEhzMZIkNVIGONWpo3sdzYAh2wk5u3CmWpKk+mGAU50KIfDlIy4gdn2Xf765I93lSJLUKBngVOfOHno29JjOjJmQZWtkJF+NktsAACAASURBVElKCQOc6lxhXiEd+y9m68bmLmSQJKkeGOBU50IInPi5jgBMe317mquRJKnxMcCpXlx24mhospPHX1yS7lIkSWp0DHCqFycMPpac7h/w+lu70l2KJEmNjgFO9SI3J5e+w9fy6fwelO7ene5yJElqVAxwqjcTjz6MuK09f3ttVrpLkSSpUTHAqd5cespQAP7wzJw0VyJJUuNigFO9OXp0W0LTnbz6xrZ0lyJJUqNigFO9adYMeg1cz9qP+jNvzbx0lyNJUqNhgFO9OvaoVrDiCB6f+0S6S5EkqdEwwKleHXdMG9jegYeneWd7SZLqigFO9Wr06MR25owmrNqyKr3FSJLUSBjgVK8KCiC3WRksP4LJH05OdzmSJDUKBjjVq2bNYGRhoPnqY5g83wAnSVJdMMCp3o0eHShbVsSUxVOJMaa7HEmSGjwDnOrd6NGwa2tr1iw9jDlrvKivJEmHygCnerdnIQMrRjNl8ZS01iJJUmNggFO9KyiAZs0ibdZMZMrHBjhJkg6VAU71rlkzyM8PtFl3DFM+nuJ5cJIkHSIDnFKioAC2r+jPp5s/Zf7a+ekuR5KkBs0Ap5QoKID1q9rAtva8vPjldJcjSVKDZoBTShQUJLYdN4/3PDhJkg6RAU4pkZ+f2PbbeQZTFnsenCRJh8IAp5Q4/HBo0wbarB/Lsk3LWLhuYbpLkiSpwTLAKSVCSEyjbl3eH8BpVEmSDoEBTilTUAAL57aic8suBjhJkg6BAU4pk58PJSWBozqc6UpUSZIOgQFOKbNnJWrfXafxyYZPWLx+cVrrkSSpoTLAKWX2BLjW68YCeF9USZIOkgFOKZOXB506Qcni7nRs2dHz4CRJOkgGOKVMCInz4GbPDozv4wV9JUk6WAY4pVRBAbz/Pow/fAIL1y1kyYYl6S5JkqQGxwCnlCoogI0bYWjuCQBM/XhqmiuSJKnhMcAppfYsZNi9chhtm7Xl1SWvprcgSZIaIAOcUmrPPVHnzsnhmN7HMO2TaektSJKkBsgAp5Tq2BG6d0+cB/e5wz/H+6veZ922dekuS5KkBsUAp5Tbs5Dhc4d/jkjkn0v/me6SJElqUAxwSrmCApg9G4q7j6Fpk6ZOo0qSdIAMcEq5ggLYtg1WLm3F6O6jDXCSJB0gA5xSbs9Chj3TqG8ue5MdpTvSW5QkSQ2IAU4pN3x4YrsnwO3YvYMZK2aktyhJkhoQA5xSrm1b6Ns3EeDG9R4H4DSqJEkHwACntCgogA8+gC6tuzCk0xADnCRJB8AAp7TIz4e5c2HXrsQ06qtLXqUslqW7LEmSGgQDnNKioCAR3ubPTwS4tdvWMnfN3HSXJUlSg2CAU1rsWYk6e3YiwIHnwUmSVFsGOKXF4MGJ7bx5MKDDAPJa5xngJEmqJQOc0qJ1a+jVKxHgQgh87vDPGeAkSaolA5zSZsiQRICDxDTqovWLWLZxWXqLkiSpATDAKW32BLgYPzsP7tUlr6a5KkmSMp8BTmkzZAhs2ACrVsGobqNondvaaVRJkmrBAKe0GTIksZ07F5o2acpRvY7ilU9eSW9RkiQ1AAY4pc2eALfnPLixPcfy/qr32bl7Z/qKkiSpATDAKW0OPxxatPgswA3vMpzSslIWrF2Q3sIkScpwBjilTZMmMGjQvgEOYPbq2WmsSpKkzGeAU1qVv5TIkM5DCATmrJ6T3qIkScpwBjil1ZAhsGgR7NwJrXJb0bd9X2avcQROkqSaGOCUVkOGwO7d8NFHidfDuwx3ClWSpP0wwCmtKq5EHd5lOPPWzGN32e70FSVJUoYzwCmtqgpwO3bvYNH6RekrSpKkDGeAU1q1awfdun0W4IZ1Hga4ElWSpJoY4JR25VeiDutigJMkaX8McEq78gHusOaH0euwXgY4SZJqYIBT2g0ZAiUliQckplENcJIkVc8Ap7SraiHD3DVzKYtl6StKkqQMZoBT2lUV4Lbs2sKSDUvSV5QkSRnMAKe069sXcnO9J6okSbVlgFPaNW0KAwfC3LmJ115KRJKkmhnglBHKr0Tt1KoTXVt3Zc4ab2ovSVJVDHDKCEOGJO6HWlqaeO09USVJqp4BThlhyBDYtQsWJe+gNbxzIsDFGNNbmCRJGcgAp4xQcSXqsC7D2LBjAys2r0hfUZIkZSgDnDJCVZcSARcySJJUFQOcMkKnTolHxQA3Z7ULGSRJqsgAp4xRfiVqXus82rdo7wicJElVMMApY5QPcCGExErUNQY4SZIqMsApYwweDCtXwsaNidd7VqJKkqR9GeCUMQYNSmwXLEhsh3cZzpqta1i9ZXX6ipIkKQMZ4JQxBg9ObD/8MLEd1iVxSy3vyCBJ0r4McMoYAwYktvPnJ7ZeSkSSpKoZ4JQxWrWCXr0+C3C9D+tNm2Zt+GDVB+ktTJKkDGOAU0YZNOizABdCoKBrAe+tei+9RUmSlGEMcMoo5QMcQGHXQt5Z+Y73RJUkqZx6C3AhhN+GEFaFEN4v19YxhPBcCGF+ctsh2R5CCHeFEBaEEN4NIRxR7j2XJfvPDyFcVq59dAjhveR77gohhPr6LkqdwYOhpATWrk28HtltJOu3r2fpxqXpLUySpAxSnyNwvwNOqdB2M/BCjHEQ8ELyNcCpwKDk4xrgvyER+IBbgbHAGODWPaEv2efqcu+r+FlqgPZcSmTPKFxhXiEA7658N00VSZKUeeotwMUYpwJrKzSfBTyQfP4AcHa59t/HhNeB9iGE7sDJwHMxxrUxxnXAc8ApyX2HxRhfj4m5td+XO5YasIoBbkTXEQC8s/KdNFUkSVLmSfU5cHkxxhXJ558CecnnPYEl5fotTbbV1L60ivYqhRCuCSFMDyFMX73ai8Jmsv79oUmTzwJcuxbt6Nu+ryNwkiSVk7ZFDMmRs5ScmR5jvDvGWBxjLO7SpUsqPlIHqXlzOPzwCgsZ8godgZMkqZxUB7iVyelPkttVyfZlQO9y/Xol22pq71VFuxqBiitRR+aN5MOSD9m2a1v6ipIkKYOkOsA9CexZSXoZ8ES59knJ1ahHARuSU63PACeFEDokFy+cBDyT3LcxhHBUcvXppHLHUgM3eHDidlp7rhxSmFdIWSzzjgySJCXV52VE/gz8ExgSQlgaQrgK+E/gxBDCfOCE5GuAp4CFwALgHuBfAGKMa4H/AN5KPr6fbCPZ597kez4Cnq6v76LUGjQINm6EPacrjswbCbiQQZKkPZrW14FjjBdXs+v4KvpG4GvVHOe3wG+raJ8OFBxKjcpM5Veidu0K/Tv0p1VuKxcySJKU5J0YlHEqXkokp0kOI7qOcAROkqQkA5wyTt++kJNTeSXquyvf9ZZakiRhgFMGys1NXA/uww8/ayvMK2TttrUs37Q8fYVJkpQhDHDKSFVdSgRcyCBJEhjglKEGDYIFCz67lMiIvMQttVzIIEmSAU4ZatAg2LIFViRvvNa+RXv6tOvjCJwkSRjglKEqrkSFzxYySJKU7QxwykiDBye2Fc+Dm7dmHttLt6enKEmSMoQBThmpd29o1qzyStTdcbe31JIkZT0DnDJSTg4MGFB5ChVcyCBJkgFOGavipUQGdhxIy6YteedTFzJIkrKbAU4Za9Ag+OgjKCtLvM5pkkNB1wLeXeUInCQpuxnglLEGDYLt22Hp0s/aRuaN5J1P3/GWWpKkrGaAU8aqaiVqYV4hJdtKWLF5RXqKkiQpAxjglLH2XAuu/ErUkd0St9R6e8XbaahIkqTMYIBTxurRA1q23HcErqhbEYHAjBUz0leYJElpZoBTxmrSBAYO3DfAtW3eliGdhxjgJElZzQCnjFbxUiIAxT2Kmb58enoKkiQpAxjglNEGDYKFC2H37s/aRncfzfJNy1mxyYUMkqTsZIBTRhs0CHbtgk8++aytuEcxgNOokqSsZYBTRhs4MLEtP406qtsomoQmTqNKkrKWAU4Zbc+lRMoHuDbN2jC081BH4CRJWcsAp4zWvTu0bu1CBkmSyjPAKaOFUPlSIpBYyPDp5k9Zvml5egqTJCmNDHDKeIMGwYIF+7btWcjgKJwkKRsZ4JTx9lxKpLT0szYXMkiSspkBThlv4MBEePv448/aWuW2YniX4S5kkCRlJQOcMl5VK1Hhs4UMMcbUFyVJUhoZ4JTxqg1w3YtZtWUVSzcuTX1RkiSlkQFOGS8vD9q0qWIlao/RgHdkkCRlHwOcMl4IVa9EHZk3kpyQ40IGSVLWMcCpQRg0qPIIXMvcluR3zXcETpKUdQxwahAGDoRFixI3ti+vuLsLGSRJ2ccApwZh0CDYvRsWL963vbhHMWu2ruGTDZ+kpS5JktLBAKcGobqVqC5kkCRlIwOcGoTqAlxhXiFNmzR1IYMkKasY4NQgdOkChx1WeSVqi6YtKOha4AicJCmrGODUIOy5lEjFETiA0d1HM2P5DBcySJKyhgFODUZ1AW5k3khKtpXw6eZPU1+UJElpYIBTgzFwYGIV6s6d+7YX5hUC8O7Kd1NflCRJaWCAU4MxaBCUlSWuB1feiLwRgAFOkpQ9DHBqMKpbidqxZUd6tu3Je6veS31RkiSlgQFODcaeAFdxJSokplEdgZMkZQsDnBqMTp2gffuqFzKM6DqC2atns2v3rso7JUlqZAxwajBqupRIYV4hu8p28WHJh6kvTJKkFDPAqUEZOLD6AAcuZJAkZQcDnBqUQYPgk09gx45924d0HkLTJk0NcJKkrGCAU4Oy51IiCxfu294spxnDOg9zJaokKSsY4NSgDBmS2M6dW3mfK1ElSdnCAKcGZdiwxPaDDyrvG9F1BEs2LmHdtnWpLUqSpBQzwKlBadMG+vatOsDtWcjw/qr3U1uUJEkpZoBTg5OfX3OAcxpVktTYGeDU4OTnw7x5UFq6b3uPtj3o0KKDAU6S1OgZ4NTg5OfDzp2Vb6kVQqAwr9CVqJKkRs8ApwYnPz+xrW4a9b1V71EWy1JblCRJKWSAU4MzbFjitlrVrUTdvHMzi9cvTnldkiSligFODU6rVtCvX80LGd5b6TSqJKnxqlWACyG0DiE0ST4fHEI4M4SQW7+lSdWrbiVqftd8AsGFDJKkRq22I3BTgRYhhJ7As8CXgd/VV1HS/uTnw4cfwq5d+7a3adaG/h368+4qA5wkqfGqbYALMcatwLnAr2OM5wP59VeWVLP8/ER4mz+/8r7CvEKnUCVJjVqtA1wI4WjgEmBysi2nfkqS9m9/K1Hnr53P1l1bU1uUJEkpUtsA903gFuCxGOMHIYT+wEv1V5ZUs6FDoUmT6leilsUyZq+enfrCJElKgaa16RRjnAJMAUguZlgTY7y+PguTatKyJfTvv/+VqMU9ilNcmSRJ9a+2q1D/FEI4LITQGngfmB1C+N/1W5pUs+pWovbv0J/Wua2ZsWJG6ouSJCkFajuFOjzGuBE4G3ga6EdiJaqUNvn5iUUMO3bs257TJIdj+xzLi4teTE9hkiTVs9oGuNzkdd/OBp6MMe4CYv2VJe1ffn7ihvYfflh53/H9jmfOmjks27gs9YVJklTPahvgfgMsBloDU0MIfYCN9VWUVBsFBYltVdOoJ/Q/AcBROElSo1SrABdjvCvG2DPG+IWY8DEwsZ5rk2o0ZAjk5FS/kKFzq848v+j51BcmSVI9q+0ihnYhhJ+GEKYnHz8hMRonpU3z5jBwYNUBrklowsS+E3lh4QvE6Gy/JKlxqe0U6m+BTcAFycdG4P76KkqqrepWokJiGnXZpmV8WFLFSXKSJDVgtQ1wA2KMt8YYFyYf/w70r8/CpNrIz4cFC2D79sr7ju93PADPL3QaVZLUuNQ2wG0LIXxuz4sQwjhgW/2UJNVefj6UlcG8eZX39e/Qnz7t+vDCohdSX5gkSfWoVndiAL4K/D6E0C75eh1wWf2UJNVe+Xuijhy5774QAif0P4FH5zzK7rLd5DTx9r2SpMahtqtQ34kxjgQKgcIYYxHw+XqtTKqFwYOhadPqz4M7vt/xrN++npkrZqa2MEmS6lFtp1ABiDFuTN6RAeDGeqhHOiDNmsGgQdUHuM/3S/z/DKdRJUmNyQEFuApCnVUhHYL8fHjvvar35bXJY0TXES5kkCQ1KocS4Ly4ljLC2LGwcCGsWFH1/uP7Hc+0T6axbZfrbiRJjUONAS6EsCmEsLGKxyagR4pqlGo0YUJiO3Vq1fuP7388O3bv4LUlr6WuKEmS6lGNAS7G2DbGeFgVj7YxxtquYJXqVVERtG0LU6ZUvX9CnwnkhBzPg5MkNRqHMoUqZYSmTWHcuOoDXNvmbRnba6wBTpLUaBjg1ChMmACzZ8Pq1VXvP6HfCUxfPp1129altjBJkuqBAU6Nwv7Ogzt10KmUxTL+NudvqStKkqR6YoBTo1BcDK1awcsvV71/bM+xDOs8jHvfvjeldUmSVB8McGoUcnPhmGOqPw8uhMBXjvgKry99nfdXvZ/a4iRJqmMGODUaEyYkLuhbUlL1/kkjJ5HbJJd7ZzoKJ0lq2AxwajSOOy6xfeWVqvd3btWZc4adw4PvPsj20u0pq0uSpLpmgFOjceSR0KJF9dOoAF8p+gprt63lsTmPpa4wSZLqWFoCXAjhhhDC+yGED0II30y2dQwhPBdCmJ/cdki2hxDCXSGEBSGEd0MIR5Q7zmXJ/vNDCJel47soczRvDkcfXXOAO77/8fRt39fFDJKkBi3lAS6EUABcDYwBRgKnhxAGAjcDL8QYBwEvJF8DnAoMSj6uAf47eZyOwK3A2OSxbt0T+pS9JkyAWbNg/fqq9zcJTbiq6CpeXPQiH639KLXFSZJUR9IxAjcMeCPGuDXGWApMAc4FzgIeSPZ5ADg7+fws4Pcx4XWgfQihO3Ay8FyMcW2McR3wHHBKKr+IMs+ECRBj9efBAVwx6gqahCbc9/Z9qStMkqQ6lI4A9z5wbAihUwihFfAFoDeQF2NckezzKZCXfN4TWFLu/UuTbdW1VxJCuCaEMD2EMH11dZfqV6Mwdiw0a1bzNGrPw3ryhUFf4P5Z91NaVpq64iRJqiMpD3AxxjnA7cCzwP8As4DdFfpEINbhZ94dYyyOMRZ36dKlrg6rDNSyZSLE1RTgILGY4dPNn/LU/KdSU5gkSXUoLYsYYoz3xRhHxxjHA+uAD4GVyalRkttVye7LSIzQ7dEr2VZdu7LchAkwcyZs3Fh9n9MGn0b3Nt25Z+Y9qStMkqQ6kq5VqF2T28NJnP/2J+BJYM9K0suAJ5LPnwQmJVejHgVsSE61PgOcFELokFy8cFKyTVluwgQoK4NXX62+T9MmTbmy6EomfziZhesWpq44SZLqQLquA/doCGE28HfgazHG9cB/AieGEOYDJyRfAzwFLAQWAPcA/wIQY1wL/AfwVvLx/WSbstzRRydurfWPf9Tc71+O/BdymuTwyzd/mZrCJEmqIyFxuln2KC4ujtOnT093GapnV14Jf/4zLFwI3btX3+9Lj36JyfMns/RbS2nbvG3qCpQkqRZCCDNijMUV270Tgxql734Xdu2C//qvmvvdMPYGNu7YyO9m/S4ldUmSVBcMcGqUBgyASZPg//0/WLGi+n5je41lbM+x/OLNX1AWy1JXoCRJh8AAp0brQEbh5q+dz9Pzn05NYZIkHSIDnBqtAQPgy1/e/yjcecPPo0fbHvz8jZ+nrjhJkg6BAU6NWm1G4XJzcvnakV/juYXPMXv17NQVJ0nSQTLAqVEbOLB2o3DXjL6GFk1bcNcbd6WuOEmSDpIBTo1ebUbhOrfqzCUjLuH37/yetdu8nKAkKbMZ4NTolR+F++ST6vvdMPYGtpVu85IikqSMZ4BTVrj1VmjaNHFpkd27q+4zIm8EBV0LvMG9JCnjGeCUFfr2hV/8AqZMgdtvr77fif1PZNon09i2a1vKapMk6UAZ4JQ1LrsMLrwwMRr35ptV9zlpwEns2L2DVz55JbXFSZJ0AAxwyhohJM6D69EDvvQl2LSpcp/xfcbTLKcZz330XOoLlCSplgxwyirt28Mf/gCLFsE3vlF5f6vcVozrPY7nFhrgJEmZywCnrHPssYlLizzwADz0UOX9J/Y/kXdWvsPKzStTX5wkSbVggFNW+rd/g7Fj4cYbK69KPXHAiQA8v/D5NFQmSdL+GeCUlZo2hW9+M3F3hldf3XdfUbciOrbs6DSqJCljGeCUtU47DZo3h0ce2bc9p0kOx/c7nucWPkeMMT3FSZJUAwOcslbbtnDqqfDoo1BWtu++E/ufyPJNy5mzZk56ipMkqQYGOGW188+H5cvhtdf2bd9zHtyzHz2bhqokSaqZAU5Z7YwzEtOof/3rvu192/dlUMdBngcnScpIBjhltbZt4ZRTqp9GnbJ4Cjt370xPcZIkVcMAp6x33nmwbBm8/vq+7ScOOJEtu7bwzyX/TE9hkiRVwwCnrHfGGdCsWeVp1Il9J5ITcpxGlSRlHAOcsl67dnDyyYnLiZSfRm3Xoh1jeo4xwEmSMo4BTiKxGnXpUnjzzX3bT+x/Im8te4u129ampzBJkqpggJNITKPm5laeRj2h/wlEIlMWT0lPYZIkVcEAJwHt28NJJyWmUcvffGFMzzG0bNqSlxa/lL7iJEmqwAAnJZ1/PnzyCbz11mdtzZs2Z9zh4wxwkqSMYoCTks46C3Jy4Mkn922f2Hci7696n9VbVqenMEmSKjDASUnt20NhIbzxxr7tE/tOBODlxS+nvihJkqpggJPKGTMmMYVa/nIixT2KaZ3b2mlUSVLGMMBJ5YwZAxs2wPz5n7Xl5uRybJ9jDXCSpIxhgJPKGTMmsa14PbiJfScyd81cVmxakfqiJEmqwAAnlTNsGLRuXTnAfb7f5wHPg5MkZQYDnFROTg4UF1cOcEXdimjXvJ3TqJKkjGCAkyoYMwZmzYIdOz5ry2mSw/g+4w1wkqSMYICTKhgzBnbuhHff3bd9Yt+JLFi7gCUblqSnMEmSkgxwUgVjxya2lRYy9EtcD85ROElSuhngpAp69YJu3SoHuMK8Qjq27GiAkySlnQFOqiCExDRqxQDXJDRhQp8JvLTIACdJSi8DnFSFMWNg7tzERX3Lm9h3Ih9v+JhF6xalpzBJkjDASVXac0Hf6dP3bfc8OElSJjDASVUoLk5sK06j5nfJp0urLgY4SVJaGeCkKnToAIMHVw5wIQSO7388zyx4htKy0vQUJ0nKegY4qRpVLWQAOH/4+azeutrFDJKktDHASdUYMwaWL4dly/ZtP3XgqbRt1paH3n8oPYVJkrKeAU6qxp6FDBVH4VrmtuTsoWfzt7l/Y0fpjspvlCSpnhngpGqMHAm5uVVPo15ccDHrt6/n2Y+eTX1hkqSsZ4CTqtGiRSLEVRXgTuh/Ah1bduShD5xGlSSlngFOqsGYMfDWW1BWtm97bk4u5w07jyfmPsHWXVvTU5wkKWsZ4KQajBkDmzbB7NmV911UcBFbdm1h8oeTU1+YJCmrGeCkGowfn9i+/HIV+/qMp1ubbk6jSpJSzgAn1aBfP+jTB16q4pJvOU1yuGD4BUz+cDIbd2xMfXGSpKxlgJP2Y+LExAhcxfPgIDGNumP3Dp6Y+0TK65IkZS8DnLQfEyfC2rXw3nuV9x3V6yj6tOvjNKokKaUMcNJ+TJyY2FY1jRpC4KKCi3j2o2cp2VqS2sIkSVnLACftR+/eMGBA1QEOEtOopWWlPDL7kdQWJknKWgY4qRYmToQpU2D37sr7RuaNpKBrAffPuj/1hUmSspIBTqqFiRNhwwaYNavyvhACVxVdxRvL3uC9lVWcKCdJUh0zwEm1UNN5cACXFl5Ks5xm3Pf2fakrSpKUtQxwUi107w5DhlQf4Dq36szZQ8/mwXcfZEfpjtQWJ0nKOgY4qZYmToRXXoHS0qr3f6XoK6zdtpbH5z6e2sIkSVnHACfV0sSJifuizpxZ9f7j+x9Pn3Z9uPfte1NbmCQp6xjgpFo67rjEtrpp1CahCVcWXcnzC59n0bpFKatLkpR9DHBSLXXtCvn51Qc4gCtGXUEgeEkRSVK9MsBJB2DiRJg2DXbtqnp/73a9OWXgKdw/6352l1Vx0ThJkuqAAU46ABMnwpYt8NZb1fe5qugqlm5cyrMfPZu6wiRJWcUAJx2ACRMghJqnUc8YcgZdWnVxMYMkqd4Y4KQD0KkTFBbCiy9W36dZTjMmjZzEk/OeZNWWVakrTpKUNQxw0gE6+eTE9eA2bKi+z1VFV1FaVsqD7zyYusIkSVnDACcdoLPOSixiePrp6vsM6zKMo3sdzW9n/ZYYY+qKkyRlBQOcdIDGjk1cUuSJJ2rud2XRlcxePZs3l72ZmsIkSVnDACcdoJwcOPNMeOop2Lmz+n4X5F9Aq9xW3uBeklTnDHDSQTjrLNi4EV5+ufo+hzU/jAvyL+Ch9x9iy84tKatNktT4GeCkg3D88dCqFTy+n/vW///27jtMqvLu//j7O7MzW2GXZemggGKhiOKqWGJXJBasQGKXqPGJwRajieWJjxqxPXaTEGNAgxUbPrFGMdGfFUSRIqLSBVnKLixsn/v3xz2zu3QWpuzsfl7XdV9n5sw5Z75zOBd8uO9TLtr3ItZWr+WF2S8kpzAREWkVFOBEdkB2NpxwAkyaBFu7RuGwXQ6jT2EfDaOKiEhcKcCJ7KBhw2DJEpg6dcvLmBkX7XcR/1nwH+aunJu84kREpEVTgBPZQSee6C9o2NYw6nkDzyNgAcZ9MS4pdYmISMunACeyg9q3h5/8ZNu3E+napitDdx/KuC/HURupTU5xIiLSoinAieyEYcNgxgz47rutLzdqv1H8sPYHPeBeRETiQgFOZCcMG+an2+qFO3GPE/0D7j/XA+5FRGTnKcCJ7IRevWDAgG0HuHAwzKj9RvHKnFf4fvX3ySlORERaLAU4kZ106qnwwQewYsXWlxt90GgyAhn870f/m5zCRESkxVKAE9lJw4ZBJAKvvrr15bq06cI5A87h8WmPs2L9NtKezmXdsgAAIABJREFUiIjIVijAieykQYOgd2946qltL3vNIddQUVvBo589mvjCRESkxVKAE9lJZnDuufDOO7B48daX7duhLyf2OZGHP32YipqK5BQoIiItjgKcSByce65/pNaECdte9tpDrqVkfQnjvxyf+MJERKRFUoATiYPddoNDD4Unntj6s1EBDt/1cA7oegD3fnQvdZG65BQoIiItSkoCnJldZWYzzWyGmT1tZllm1svMPjGzb83sWTMLR5fNjL7/Nvp5z0bb+V10/hwzG5KK3yISc955MGsWfP751pczM6495Fq+XfUtr8zZxv1HRERENiPpAc7MugGjgWLnXH8gCIwE7gTuc87tDqwGRkVXGQWsjs6/L7ocZtY3ul4/4ATgUTMLJvO3iDR21lmQmel74bbl9L1Pp3e73tz94d24bXXZiYiIbCRVQ6gZQLaZZQA5wFLgaGBi9PPxwKnR18Oi74l+foyZWXT+M865KufcPOBb4MAk1S+yiXbt4JRT4OmnoaZm68sGA0GuHnw1Hy/+mA8WfpCcAkVEpMVIeoBzzi0B7gEW4oNbGTAVKHXOxZ70vRjoFn3dDVgUXbc2unz7xvM3s84GzOwSM5tiZlNKSkri+4NEGjnvPCgpgTff3PayF+53IZ1yO3HDuzeoF05ERJokFUOo7fC9Z72ArkAufgg0YZxzY51zxc654g4dOiTyq6SVGzIEOnTYvmHUnFAONx9xM+8vfJ/X5r6W+OJERKTFSMUQ6rHAPOdciXOuBngROBQoiA6pAnQHlkRfLwF6AEQ/zwdWNp6/mXVEUiIUgp//HCZNgtWrt738xYMuZvfC3bn+net1RaqIiGy3VAS4hcBgM8uJnst2DDALmAycGV3mfCB2ed6k6Huin7/r/HjTJGBk9CrVXkAf4NMk/QaRLTrvPKiqguef3/ayoWCIPx79R2Ysn8GT059MfHEiItIiWCrOvTGzW4ARQC0wDfgF/vy1Z4DC6LxznHNVZpYFPAnsB6wCRjrnvo9u5wbgouh2rnTOvb6t7y4uLnZTpkyJ/48SiXIOBgyAggL/kPttL+846LGDWFq+lG8u/4bsUHbiixQRkbRgZlOdc8WbzG9tJ08rwEky3HUXXHcdzJ4Ne+217eXfm/8eR40/iruPu5vfHPKbxBcoIiJpYUsBTk9iEEmACy7w94R78MHtW/7InkcydPeh/PH9P7K6YjtOnhMRkVZNAU4kATp2hHPOgfHjYdWq7VtnzLFjKK0sZcwHYxJbnIiIpD0FOJEEueIKWL8exo7dvuX36bQP5w48lwc+eYA5K+YktjgREUlrCnAiCTJgABx7LDz88LafzBBzxzF3kBvO5ewXz6a6rjqxBYqISNpSgBNJoCuvhCVLYOLEbS8L0LVNVx47+TGmLp3KH977Q0JrExGR9KUAJ5JAQ4fCHnvAfff524tsj9P2Po1R+41izAdj+Pf8fye2QBERSUsKcCIJFAj4c+E++ww++mj717v/hPvZrXA3zn3pXEorSxNXoIiIpCUFOJEEO/98f1Pf++/f/nXywnlMOH0CP6z9gcv+eZkedi8iIhtQgBNJsNxcuOQSeOEFWLBg+9c7sNuB3HLkLTwz4xkmfDUhcQWKiEjaUYATSYLLLwczeOihpq13/WHXc9guh3HZPy9j7sq5iSlORETSjgKcSBL06AEjR8Kjj/qrUrdXMBDkqdOfIhwMM2LiCKpqqxJXpIiIpA0FOJEkufVWqKuDm29u2no98nswbtg4pi2bxrVvX5uY4kREJK0owIkkSa9efij173+H6dObtu7Je57MVYOv4qFPH+Kl2S8lpkAREUkbCnAiSXTDDf6K1N/+tunrjjl2DMVdi7lo0kUsKG3C1RAiItLiKMCJJFFhIdx0E7z5pm9NEQ6GefbMZ4m4CCNfGElN3XY+n0tERFocBTiRJPuv/4LeveHaa/05cU3Ru11vHjv5MT5e/DEXv3oxERdJTJEiItKsKcCJJFlmJowZA199BePHN339s/qdxS1H3sL4L8cz+vXRusmviEgrlJHqAkRaozPPhMGD/XDqiBH+Zr9NcdPhN1FeXc7dH95NbiiXMceOwcwSU6yIiDQ76oETSQEzuOce+OEHf2FD09c37jz2Ti4rvoy7PryL29+/Pf5FiohIs6UeOJEUOfRQGD0aHngAjjgCTjutaeubGQ//9GHW1azjpsk3kRPK4eqDr05MsSIi0qyoB04khe6+Gw44AC68EL7/vunrByzA3075G2f2PZNr3rqGy1+7nOq66vgXKiIizYoCnEgKhcPw3HN+SHX4cKjagSdlZQQyePqMp/nNwb/hkc8e4YhxR7B4zeL4FysiIs2GApxIivXs6a9GnToVrrlmx7aREcjg7uPv5vmznmfG8hkM+ssgJs+bHNc6RUSk+VCAE2kGTjnFh7dHHvE9cjvqzL5n8tnFn1GUU8SxTx7LFa9fwdQfpupWIyIiLYy1tr/Yi4uL3ZQpU1Jdhsgmamr8xQwzZsAHH8A+++z4ttZWrWX0G6OZMH0CNZEadi/cnZH9RjKi/wj6deinW46IiKQJM5vqnCveZL4CnEjzsXgxHHwwRCLw0Uewyy47t71VFat4afZLPDPzGd6d9y4RF6FjbkcGdx/M4G6DGdx9MAd0O4C8cF58foCIiMSVAlyUApw0dzNmwGGHQdeuvieusDA+2/2x/EdemfMKHy76kI8Xf8yclXMAfyXrwE4DOaTHIfVt1/xd1UsnItIMKMBFKcBJOnjvPRgyBA48EN5+G7Ky4v8dqypW8emST/lw0Yd8uOhDPlnyCeXV5fWfh4NhMoOZfpqRSdCCBCxAMOCnmcFM2mW3o11WOwqzC2mX1Y6CrALaZrYlPyuf/Mx8CrIK2K1wN3bJ34WA6ZRbEZGmUoCLUoCTdPHcc/4xW2ecAc8+C8FgYr+vNlLLjOUz+HDRhywrX0Z1XTVVtVV+WldFxEWoc3V+GqmjsraS0spSVlWsYnXlalZXrGZt9drNbjs7I5s92u/BnkV7skfhHvQs6MmuBbvSs6AnPdr2IDMjM7E/TkQkTW0pwOlJDCLN1PDh/lFbV10FV1wBDz3k7xeXKBmBDPbtvC/7dt53h7dRF6ljbfVayirLWFO1hpUVK/l21bd8veJrvl7xNVN/mMrEWROJuEj9OobRtU1XerXrRa+CXvRu15ve7XrTt0Nf9i7am9xwEx8UKyLSCijAiTRjV14JS5b456YWFcEf/pDqirYuGAhSkFVAQVZB/bwjex65wTI1dTUsWbuE+aXzWVC6gHml85hfOp95pfOYPH8y/5j+Dxx+ZMAwerXrRf+O/eld0Js2mW1oE25DXjiPNpltKMwupENOB4pyiuiQ24HcUK7O3RORVkEBTqSZu+suWLkSbrnFX9AwenSqK9o5oWCIngU96VnQc7OfV9VWMb90PjNLZjJj+Yz66bvz3t3gHL3NycrIIj8zv/4cvPysfHJDuYSDYcLBMKFgiHAgTHYom5xQDrmhXHJCOeSF82ib2bb+/L3Y69xQLnnhPMLBsIKhiDQrCnAizZwZjB0Lq1f7odTCQjjnnFRXlTiZGZnsWbQnexbtyel7n77BZxEXYX3Nesqry1lbtZaVFStZsX4FJetKKFlfwor1KyirLKOsKtoqy1i+bjk1dTVU11VTE/HTipoK1tWsozZSu101BS1IbjiXzGAmGYEMQsEQoUCIcDBMbtiHvFjLzsje4OKPzGAmWRlZG7TMjA3nZQYz65dtPI0Fz1jThSAiEqMAJ5IGMjLg6afhpz+FCy6AggI46aRUV5V8AQvUB6XOeZ3pQ5+d2l51XXV9IFxTtab+3L2yqjLWVq1lXc061lWvo7y6nHU163wIrKuhJlJTHwZjny9Zs4Ty6nIqais2uPijqraqfkg4Hr8/FAjVB8hQMERGIMNfHWxBgoEgQQvWh8yMQAahgJ/Grh5uvNzG04AFCFgAM6t/nWEZ9evHvqtxM2yDbTfehmH109j82LKbqyW2PaC+x7PxcrHXsfoab39z39f4d8S225iZ1e+f2P7a0nKNt9n4exp/HqvZMHLDuRTlFMXlz11kcxTgRNJEVha8/DIcfTScdRb885/+tey4WM9W43P24s05R22klsrayvoWC3mVtZVU1VVRUVNBVV1V/ZW/seDXuNcw1uoDZHRaF6mjzkVb9HVtpHaDVlNXU/95tatuWGejqXOOiIsQcREcbrPbi7jIBsvFWuwKZWnQJa8L+3fdn0GdB7F/1/05sueRtM1sm+qypIVQgBNJI23bwuuvw1FHwYknwksvwQknpLoq2Roz8z1mwRBtMtukupyEqw+AzuFwG0xjIS92K5qNQ2QsAMZ6LGNBsfHtaxoHzY23v/E0tkzsOzfuXYu4iA+4kZr6oLs5sW1s/L2xzxp/Z2xeWWUZ05ZNY+rSqbw29zUiLsKe7ffk04s/VYiTuFCAE0kzHTr4G/0edxwMG+bvFzdsWKqrEvFiQ5bSYF31Ol7/9nVGThzJ+S+fzwvDX9A+kp2mI0gkDRUVwbvvwsCBcOaZ8Pzzqa5IRLYkN5zLmX3P5O7j7ublr1/mzg/uTHVJ0gIowImkqXbt4F//goMOgpEjYdw4aGUPVhFJK1cOvpKR/Udyw7s38NZ3b6W6HElzCnAiaaxtW3jjDTjiCLjwQhg0CB5/HCoqUl2ZiGzMzHjs5Mfo17EfP3vhZ8wvnZ/qkiSNKcCJpLm8PH9hw1/+ArW1MGoU9OgBv/sdzJwJEV0YKNJs5IZzeWnES9RF6jj92dOpqNH/tmTH6GH2Ii2Ic/Dvf8ODD8Irr/jwVlDgh1kPPhgOPBDCYais9K2iAtavh7Iy39as8dOKCh8Ga2p8q6vz62Vm+tuZZGX5IdwBA/x5eH37+s9EZPv83zf/x8lPn8zVg6/m3iH3procaca29DB7BTiRFmrRInjnHfjoI99mzNj6OXKBgB+SbdsWcnIgFPI3EA6FIBj0Qa6yEqqq/HTFioah2mAQ9trLh7mBA2Gfffy0c2f/JAkR2dSlr17KY9Me47OLP2NQl0GpLkeaKQW4KAU4aa3WrIEvv/SvY71oWVmQnQ35+X4otilhq64Ovv3WbzPWpk/3wTGmY0c4/ng4+WQYMsR/j4h4qytWs/cje9O9bXc+/sXHZAR0Zy/ZlAJclAKcSGKtWuWD3PTp8Nln/vy8lSt9b94RR/hHgA0Z4nvs1Dsnrd1zM59jxMQR3DfkPq4cfGWqy5FmSAEuSgFOJLnq6vwQ7quv+jZ7tp/fvbvvnTv+eH/17C676Dw6aX2cc5z09En8e/6/mfWrWeySv0uqS5JmRgEuSgFOJLXmz4e334a33vL3sSstbfisSxfo2dO3vn2hf3/fevf25+iJtETzS+fT79F+HNPrGF4Z+QqmrmlpRAEuSgFOpPmoq4OpU+Hrr2HBAh/u5s+H77/305jsbB/i8vMbWkGB78Xr06eh5eWl6IeI7KR7P7yX37z9GyaeNZEz+p6R6nKkGVGAi1KAE0kP5eUwa5a/enbGDB/oYrc7KSuD1av9uXWNde0K++0HxcUNrXPnlJQv0iS1kVoO/OuBLCtfxtxfzyU3nJvqkqSZ2FKA0yUvItIs5eX5+9YdeOCWlykv91fCzp3r29df+x69115ruGVKUZE/v65Hj4YWCjXc466mxt8aZd06v73YtLra3x4lEPDTYND3+nXo4FtRUcPr2Pu2bXVhhuyYjEAGDw19iMP+fhh//fyvuqBBtkk9cCLS4pSXwxdfwJQpPtQtWgQLF/ppWdmmy2dk+MDYuIVC/kbIkYgf6q2t9efrLV/u74O3OaGQD3m5uX4bsWnbtg1Dv23bQvv2sPvufti3Vy+/ngjA0eOPZs7KOXw3+juyMrJSXY40A+qBE5FWIy8PDjvMt42tXesDWSjU0JrSa+ac76UrKfFtxQrfYu/LyjbszVu7FpYta3jKxdq1G95QORj0F2107+7DX+z8vvx8f1Vu4zrD4YZ798WmbdtCYaEPhfn5utgj3d14+I0c88QxjPtiHL8s/mWqy5FmTD1wIiJJFIn4c/caD/1+840PeWVlvpcvdp5fU/96DgR8+MvK2jT4xUJfLPhlZvr5sUekbfw6M9Nvr/FQc3W1D7sZGb4Fg377bdo0PMWjbduGoeaiIr8t2X7OOQ59/FB+WPsDc389l1BQ3bOtnXrgRESagUCg4by5gw/e8nLO+WHb6uoNA1TsGbaxtnatD4SrVjW0qqpNz/GLPf925Uq/XnW1n19dvenrLYkN9dbUbP/vzc/3vzUc9j2fsRaJ+H3RuIVCftg5J8dPc3MbehSdawi0sVAam+bk+B7IoiI/jfVGtmnT0NJlmNrMuPHwGznxqROZ8NUELtj3glSXJM2UeuBERKSecw1hsfFQc0bGhkPNkUhDwCwv90PEsbZ6dcOQcqzV1DRcDBK7OMS5hvMMIxG/rXXrYP16P123zs+PfW9s2jjQxtbZVqiMDT9nZjZMzRrCayzABoP+s1hPZFbWhucwxoa4CwuhXbuGlp3d0IsZCkGnTj5Q7tifgWP/sftTXl3O7F/NJhgI7tiGpEVQD5yIiGyTWUMQ2ZpAoGG5vLzU3q7FOR8iV6zwPYwrV/oguXbthi3WExmbOrfhkHGsl7Bxj2RFhd/WqlUwb17DMHdV1dZrCofhlVfghBOa/ntivXBnPHcGz896npH9R+7YjpEWTT1wIiIiTVRR4UPd6tW+VVZu2Ct4xx3+3MZ33oHBg5u+/YiLMOBPAwhYgC9/+SUB09UprZV64EREROIkOxu6dfNtc444Ag49FE48Ed5/3z8arikCFuCGn9zA2S+ezaQ5kzh1r1N3vmhpURTpRURE4qxTJ/+833AYhgzx9yFsqhH9RtCnsA///d5/E3GR+BcpaU0BTkREJAF694Y33/Tn3x1/vD9HrymCgSC3HnUr03+czoTpExJTpKQtBTgREZEE2WcfePVVWLAAfv7zpq9/Vr+z2L/L/tw4+UYqa7fwCBBplRTgREREEugnP4ExY+Dtt+Hdd5u2bsAC3HXcXSwsW8gjnz6SmAIlLSnAiYiIJNill/rHpd1wQ9OfsHF0r6MZstsQbn//dkorSxNToKQdBTgREZEEy8qCm2+Gjz+Gf/6z6evfeeydlFaWMuaDMfEvTtKSApyIiEgSXHAB7LYb3Hijf8JEUwzsPJCz9zmbBz55gEVlixJSn6QXBTgREZEkCIXgllvgyy9h4sSmr3/rUbcScRH+8N4f4l6bpB8FOBERkSQZOdLf1Pfmm/2zZJuiZ0FPLj/gcsZ9OY7pP05PTIGSNhTgREREkiQYhFtvhTlz4B//aPr6v//J7ynMLuSCly+guq46/gVK2lCAExERSaLTToP99/fDqdVNzGDtc9oz9qSxTFs2jdv+c1tiCpS0oAAnIiKSRGZw220wfz6MH9/09U/b+zTOG3gef3z/j3yy+JO41yfpwVxTb0iT5oqLi92UKVNSXYaIiLRizkFxMVRUwMyZPtQ1RVllGQP+NIDsUDbTLp1GTignMYVKypnZVOdc8cbz1QMnIiKSZGZw1VUwe7Z/XmpT5WflM+7UcXyz8huu/9f18S9Qmj0FOBERkRQYPhy6dIH77tux9Y/udTRXHHQFD336EP/6/l/xLU6aPQU4ERGRFAiH4fLL4a23/DDqjrjjmDvYq2gvLnj5AkrWlcS3QGnWFOBERERS5NJLITsb7r9/x9bPDmUz4fQJrKxYyYiJI6iNNPHmcpK2FOBERERSpH17OO88ePJJWL58x7YxqMsgxp40lsnzJ/Pbt38b3wKl2VKAExERSaErr4SqKvjzn3d8G+cOPJfRB47mvo/v4x/Td+AOwZJ2FOBERERSaK+9YOhQePRRH+R21D3H38Phux7Oxa9ezLSl0+JXoDRLCnAiIiIpdvXV8OOP8PTTO76NUDDE82c9T1FOEac9exor1q+IX4HS7CjAiYiIpNgxx8CAAf6WIjtzf/2OuR15cfiLLCtfxqnPnMr6mvXxK1KaFQU4ERGRFIvd2Hf6dHjnnZ3b1gHdDuCJ057gw0UfcsZzZ+ih9y2UApyIiEgz8POf+xv73n33zm9reL/hjD15LG98+wZnv3g2dZG6nd+oNCsKcCIiIs1AZiaMHu1v7Pvllzu/vV8M+gX3Hn8vE2dN5JJXLyHiIju/UWk2FOBERESaiV/+EvLy4J574rO9qw++mpsOv4nHv3ica968BrczJ9hJs6IAJyIi0kwUFMDFF8Mzz8CiRfHZ5i1H3sLoA0dz/yf3c/DfDmbSnEnqjWsBrLWl8eLiYjdlypRUlyEiIrJZCxdC795wxRVw773x2WbERfjr1L8y5v+NYX7pfPp37M/vDvsdw/sNJyOQ0aRt1UZqWVi2sL4tKlvEwrKFlNeUU11XTU1dDdV11URchMLsQopyiijKKaJDTgc65nake9vudG/bnc55nQkGgvH5gS2YmU11zhVvMl8BTkREpHk5+2yYNMn3whUUxG+7tZFanpnxDHd8cAezSmbRMbcj+3bel/4d+tO/Y3/6dexHfmY+lbWVVNZWUlVXxZqqNcwumc1Xy7/iq+VfMbtkNlV1G95xuCiniPzMfMLBMKFgiFAghJlRWllKyboSyqrKNqklaEG6tOlC1zZd6ZLXhS55Xeic15kubfzrLm38+065nQgFQ/HbCWmm2QQ4M9sTeLbRrN7AzcAT0fk9gfnAcOfcajMz4AHgp8B64ALn3OfRbZ0P3Bjdzm3OufHb+n4FOBERae6++AL22w/GjIHrrov/9iMuwqtzXuWF2S8ws2Qms0pmUVlbudV1urbpyoCOAxjQcQB7d9ibXfN3ZZf8XejetjvZoeytrltTV8PKipUsK1/GkjVLWLxmMYvXLGbRmkUsLV/K0rVLWVq+dIs3H87PzCcnlENuOJfcUC45oRyyMrIIB8OEg2EyMzIJBUJkBDIIBoJkmJ8aRsRFiLgIda5us0PHDodzjoiL4IhOG713zuFwGEYwECRowfrpAyc8QH5W/vbv+B3QbALcBl9uFgSWAAcBvwJWOefGmNn1QDvn3HVm9lPg1/gAdxDwgHPuIDMrBKYAxYADpgL7O+dWb+07FeBERCQdHHcczJwJ8+b5K1QTqS5Sx/erv2fG8hlU1FaQlZFV33JCOezRfg8KswsTWwRQXVfNj+U/sqx8GcvKl7G0fCnLypexcv1K1tesZ33tetZVr2NdzTqqaquorqumqi46ra2iztVRF6mjztVRG6nFOUcwECRggfpm2CbfG7AAZlb/eePXsc8iLlK/7dj080s+p31O+4Tuky0FuKYNfMffMcB3zrkFZjYMODI6fzzwHnAdMAx4wvmk+bGZFZhZl+iybzvnVgGY2dvACcBOPIhERESkebj2WhgyxD9e64ILEvtdwUCQPu370Kd9n8R+0TaEg2F65PegR36PlNaRDlJ9FepIGgJXJ+fc0ujrZUCn6OtuQONrcRZH521p/ibM7BIzm2JmU0pKSuJVu4iISMIcdxzsuy/ccQfU1qa6GmluUhbgzCwMnAI8v/Fn0d62uI3tOufGOueKnXPFHTp0iNdmRUREEsYMbr4ZvvkGnnoq1dVIc5PKHrihwOfOuR+j73+MDo0SnS6Pzl8CNO5L7R6dt6X5IiIiLcKpp/qLGf7nf6CmJtXVSHOSygD3MzY8X20ScH709fnAK43mn2feYKAsOtT6JnC8mbUzs3bA8dF5IiIiLYKZD2/ffQdPPpnqaqQ5SclVqGaWCywEejvnyqLz2gPPAbsAC/C3EVkVvY3Iw/gLFNYDFzrnpkTXuQj4fXSztzvn/r6t79ZVqCIikk6cg4MOgpISmDMHwuFUVyTJ1CxvI5IKCnAiIpJu3ngDhg6FP/8ZLr001dVIMm0pwKX6KlQRERHZhiFD4OCD4bbboKpq28tLy6cAJyIi0syZwa23wuLF8Nhjqa5GmgMFOBERkTRw9NFw+OFw++1QUZHqaiTVFOBERETSQOyK1KVL4d57U12NpJoCnIiISJo44gg46yx/LtzcuamuRlJJAU5ERCSNPPAAZGX5q1Fb2Y0kpBEFOBERkTTSpQuMGQOTJ8MTT6S6GkkVBTgREZE0c8klcMghcM01/ga/0voowImIiKSZQADGjoU1a3yIk9ZHAU5ERCQN9esHv/2tf0bqv/6V6mok2RTgRERE0tQNN8Duu/sLGlauTHU1kkwKcCIiImkqOxvGjYMlS+Ckk2DdulRXJMmiACciIpLGDj0UnnoKPv3U3yOupibVFUkyKMCJiIikudNPhz/9CV5/HUaNgkgk1RVJomWkugARERHZeZdcAsuXw003QceOcM89qa5IEkkBTkREpIW44Qb48Uf/rNRw2D87NUP/0rdIGkIVERFpIcz8o7ZGjYI77vDnx82Zk+qqJBEU4ERERFqQQAAeewyefdY/8H6//eDhh3VeXEujACciItICDR8OM2bAEUfAr38NJ5wAb70F1dU7t926Oli7Ftavh6oq/965+NQs208j4yIiIi1U167w2mvwl7/AtdfCkCHQpg0MHQqnnAI/+YnvsYtEfBCLRKC01J9Ht3y5ny5b5u8zt2QJLF4MP/wAtbWbfldREfTsCb16+da7t+/9GzgQMjOT/tNbPHOtLDYXFxe7KVOmpLoMERGRpFq/Ht55ByZNgldf9eFse+TmQrdu0L27b926QWGhD3u1tT741dT47c2bB/Pnw4IFDT19oRAMGAAHHACDB8NRR8GuuybsZ7Y4ZjbVOVe8yXwFOBERkdYlEvE3/v3yS98DFwz6aSAA+fn+NiSdOvmWm7tj21+4EKZOhc8+823KFFizxn/eq5cPckcd5XvoevWCvLzt27ZzPoyGQv5K2+1ZvqrKP6Vi/XpfQ1nZhm3VKt9WrvTT6mrfa5iV1TBt397vl8Ztr718HYmkABelACciIpJ8kQjMnAmTJ/v23nvWlL6KAAAHuUlEQVR+uDYmNgTbvbtftrraB6+qKh+8ysr88mvW+F4/8LdIycvzLTvb9wjW1DS02LrbE3Wys33PYvv2PpTFvruqCioqfLCLfW/M0qXQuXO89tDmbSnA6Rw4ERERSbhAwA+lDhgAo0f7MPTVV/42J/PmNbS5c30wy8z0PWzZ2T5U9e/vewfz86FtW79+eblvsd61jAwfvmItM9P3IObkNLS2bTfcTn6+D27Z2VuvP3Z+4PLlDa2oKDn7bnMU4ERERCTpgkHYd1/f0kEg4INeYaEfOk013UZEREREJM0owImIiIikGQU4ERERkTSjACciIiKSZhTgRERERNKMApyIiIhImlGAExEREUkzCnAiIiIiaUYBTkRERCTNKMCJiIiIpBkFOBEREZE0owAnIiIikmYU4ERERETSjAKciIiISJpRgBMRERFJMwpwIiIiImlGAU5EREQkzSjAiYiIiKQZBTgRERGRNKMAJyIiIpJmFOBERERE0owCnIiIiEiaUYATERERSTPmnEt1DUllZiXAggR/TRGwIsHfIRvSPk8+7fPk0z5PPu3z5NM+39CuzrkOG89sdQEuGcxsinOuONV1tCba58mnfZ582ufJp32efNrn20dDqCIiIiJpRgFOREREJM0owCXG2FQX0Appnyef9nnyaZ8nn/Z58mmfbwedAyciIiKSZtQDJyIiIpJmFOBERERE0owCXJyZ2QlmNsfMvjWz61NdT0tkZj3MbLKZzTKzmWZ2RXR+oZm9bWZzo9N2qa61JTGzoJlNM7P/i77vZWafRI/1Z80snOoaWxozKzCziWb2tZnNNrODdZwnlpldFf17ZYaZPW1mWTrW48vMHjez5WY2o9G8zR7X5j0Y3ffTzWxQ6ipvXhTg4sjMgsAjwFCgL/AzM+ub2qpapFrgGudcX2Aw8Kvofr4eeMc51wd4J/pe4ucKYHaj93cC9znndgdWA6NSUlXL9gDwhnNuL2Agfv/rOE8QM+sGjAaKnXP9gSAwEh3r8TYOOGGjeVs6rocCfaLtEuBPSaqx2VOAi68DgW+dc98756qBZ4BhKa6pxXHOLXXOfR59vRb/j1o3/L4eH11sPHBqaipsecysO3Ai8Fj0vQFHAxOji2h/x5mZ5QOHA38DcM5VO+dK0XGeaBlAtpllADnAUnSsx5Vz7j/Aqo1mb+m4HgY84byPgQIz65KcSps3Bbj46gYsavR+cXSeJIiZ9QT2Az4BOjnnlkY/WgZ0SlFZLdH9wG+BSPR9e6DUOVcbfa9jPf56ASXA36ND14+ZWS46zhPGObcEuAdYiA9uZcBUdKwnw5aOa/27ugUKcJK2zCwPeAG40jm3pvFnzt8fR/fIiQMzOwlY7pybmupaWpkMYBDwJ+fcfsA6Nhou1XEeX9Hzrobhw3NXIJdNh/okwXRcbx8FuPhaAvRo9L57dJ7EmZmF8OFtgnPuxejsH2Nd69Hp8lTV18IcCpxiZvPxpwUcjT83qyA6zAQ61hNhMbDYOfdJ9P1EfKDTcZ44xwLznHMlzrka4EX88a9jPfG2dFzr39UtUICLr8+APtErlsL4k18npbimFid6/tXfgNnOuf9t9NEk4Pzo6/OBV5JdW0vknPudc667c64n/ph+1zl3NjAZODO6mPZ3nDnnlgGLzGzP6KxjgFnoOE+khcBgM8uJ/j0T2+c61hNvS8f1JOC86NWog4GyRkOtrZqexBBnZvZT/PlCQeBx59ztKS6pxTGzw4D3ga9oOCfr9/jz4J4DdgEWAMOdcxufKCs7wcyOBH7jnDvJzHrje+QKgWnAOc65qlTW19KY2b74C0fCwPfAhfj/eOs4TxAzuwUYgb/afRrwC/w5VzrW48TMngaOBIqAH4H/Bl5mM8d1NEg/jB/KXg9c6Jybkoq6mxsFOBEREZE0oyFUERERkTSjACciIiKSZhTgRERERNKMApyIiIhImlGAExEREUkzCnAi0uqZWZ2ZfdGoxe0B8WbW08xmxGt7IiLgH9UiItLaVTjn9k11ESIi20s9cCIiW2Bm883sLjP7ysw+NbPdo/N7mtm7ZjbdzN4xs12i8zuZ2Utm9mW0HRLdVNDM/mpmM83sLTPLji4/2sxmRbfzTIp+poikIQU4ERHI3mgIdUSjz8qccwPwd4O/PzrvIWC8c24fYALwYHT+g8C/nXMD8c8tnRmd3wd4xDnXDygFzojOvx7YL7qdXybqx4lIy6MnMYhIq2dm5c65vM3Mnw8c7Zz73sxCwDLnXHszWwF0cc7VROcvdc4VmVkJ0L3xY5bMrCfwtnOuT/T9dUDIOXebmb0BlOMfI/Syc648wT9VRFoI9cCJiGyd28Lrpmj83Mw6Gs4/PhF4BN9b95mZ6bxkEdkuCnAiIls3otH0o+jrD4GR0ddnA+9HX78DXAZgZkEzy9/SRs0sAPRwzk0GrgPygU16AUVENkf/2xMRiZ4D1+j9G8652K1E2pnZdHwv2s+i834N/N3MrgVKgAuj868AxprZKHxP22XA0i18ZxD4RzTkGfCgc640br9IRFo0nQMnIrIF0XPgip1zK1Jdi4hIYxpCFREREUkz6oETERERSTPqgRMRERFJMwpwIiIiImlGAU5EREQkzSjAiYiIiKQZBTgRERGRNPP/AcfeQuEzfVvhAAAAAElFTkSuQmCC\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "y_pred = Model.predict(X_test)\n", - "plt.figure(figsize=(10,10))\n", - "loss_train = history.history['loss']\n", - "loss_val = history.history['val_loss']\n", - "epochs = range(0,110)\n", - "plt.plot(epochs, loss_train, 'g', label='Training loss')\n", - "plt.plot(epochs, loss_val, 'b', label='validation loss')\n", - "\n", - "plt.title('Training and Validation loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.legend()\n", - "plt.show()" - ] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "A2_200155.ipynb", - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file diff --git a/Assignment 2/A2_200171.ipynb b/Assignment 2/A2_200171.ipynb deleted file mode 100644 index b372782..0000000 --- a/Assignment 2/A2_200171.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"200171_Assgn2.ipynb","provenance":[{"file_id":"1ptX8WQ4CFpsuB3FySAo-Ofzinil-gfw_","timestamp":1655464504664}],"collapsed_sections":[]},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["# Assigment 2: Deep Learning"],"metadata":{"id":"UxcaEbrCy1g_"}},{"cell_type":"markdown","source":["## Generate Dataset\n","\n","This is the same code from Assignment 1"],"metadata":{"id":"h2JON-_Oy79w"}},{"cell_type":"code","execution_count":1,"metadata":{"id":"hgpG3WDuypfa","executionInfo":{"status":"ok","timestamp":1655464671487,"user_tz":-330,"elapsed":1085,"user":{"displayName":"Anurag Singh","userId":"10745855479500948138"}}},"outputs":[],"source":["from sklearn import datasets\n","from sklearn.model_selection import train_test_split\n","\n","# Generate the data\n","X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n","\n","# Split the data\n","X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n"]},{"cell_type":"markdown","source":["## Visualize Dataset\n","This is the same code from Assignment 1"],"metadata":{"id":"r6it-Rm7zD1Y"}},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","from matplotlib.pyplot import cm\n","import numpy as np\n","\n","color = iter(cm.rainbow(np.linspace(0, 1, 5)))\n","for i in range (5):\n"," c = next(color)\n"," plt.scatter(X[:, i], y, c=c)\n"," plt.show()\n","\n","# Your code here"],"metadata":{"id":"UautPVj1yzaQ","colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"status":"ok","timestamp":1655465210662,"user_tz":-330,"elapsed":570,"user":{"displayName":"Anurag Singh","userId":"10745855479500948138"}},"outputId":"3ff652a8-4663-4024-d075-3049472c60fd"},"execution_count":12,"outputs":[{"output_type":"stream","name":"stderr","text":["*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*. Please use the *color* keyword-argument or provide a 2-D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n"]},{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{"needs_background":"light"}},{"output_type":"stream","name":"stderr","text":["*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*. Please use the *color* keyword-argument or provide a 2-D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n"]},{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{"needs_background":"light"}},{"output_type":"stream","name":"stderr","text":["*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*. Please use the *color* keyword-argument or provide a 2-D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n"]},{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{"needs_background":"light"}},{"output_type":"stream","name":"stderr","text":["*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*. Please use the *color* keyword-argument or provide a 2-D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n"]},{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{"needs_background":"light"}},{"output_type":"stream","name":"stderr","text":["*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*. Please use the *color* keyword-argument or provide a 2-D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n"]},{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAYAAAAD4CAYAAADlwTGnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAYT0lEQVR4nO3df4hdZ53H8c8308TdWVdqk8F1m8xM/8guRHHVDqXi/qUV0yJGRaEyxIrCsE0LFQRpyV/7R2BBEBSbutlVrGawFFQMum5NS6H/bLVT6XaTxtrZatqUrk0r2i4Bu0m++8c507m5uT/OvefXc57n/YLDzD33zL3P/THP9zzP93meY+4uAEB6trRdAABAOwgAAJAoAgAAJIoAAACJIgAAQKKuaLsARezYscMXFxfbLgYAdMrjjz/+srvPDbu/EwFgcXFRa2trbRcDADrFzE6Pup8uIABIFAEAABJFAACARBEAACBRBAAASBQBAM1aXZUWF6UtW7Kfq6ttlwhIFgEAzVldlVZWpNOnJffs58oKQaDrCOqdRQBAcw4elM6du3TfuXPZfnQTQb3TCABoznPPTbYf4SOodxoBAM2Zn59sP8JHUO80AgCac+iQNDt76b7Z2Ww/uomg3mkEADRneVk6ckRaWJDMsp9HjmT70U0E9U4jAKBZy8vSb38rXbyY/Uyt8o9txAxBvdM6sRooEIWNETMbSdONETNStyvM5eVulz9htACApjBiBoEhAABNYcQMAkMAAJrCiBkEhgAANIURMwhM6QBgZrvM7GEze8rMTprZHfn+q8zsuJk9k/98a77fzOxrZrZuZk+a2XvLlgHoBEbMIDBVtADOS/qiu++RdL2k28xsj6Q7JT3k7rslPZTflqQbJe3OtxVJ91RQBqAbGAYb1zDYjisdANz9RXf/Zf77a5JOSbpa0j5J9+aH3SvpY/nv+yR9xzOPSrrSzN5ethwAAsfCccGpNAdgZouS3iPp55Le5u4v5nf9j6S35b9fLen5nj87k+/rf6wVM1szs7WzZ89WWUwAbWAYbHAqCwBm9mZJ35f0BXd/tfc+d3dJPsnjufsRd19y96W5ubmqigl0UwxdJwyDDU4lAcDMtiqr/Ffd/Qf57t9tdO3kP1/K978gaVfPn+/M9wEYJJauE4bBBqeKUUAm6ZuSTrn7V3ruOibplvz3WyT9qGf/Z/LRQNdL+mNPVxG6KoYz1FDF0nXCMNjgVNECeL+k/ZI+YGZP5NtNkv5J0ofM7BlJN+S3JenfJD0raV3Sv0g6UEEZ0KZYzlAHCSGwxdJ1wjDY4FjWPR+2paUlX1tba7sYGGZxMav0+y0sZEMdu6p/8TYpO2NtutKK9f1F7czscXdfGnY/M4FRXixnqP1C6Xqh6wQ1IQCgvFiTe6EENrpOUBMCAMqL9Qw1pMCW+gxi1IIAgPJiPUONNbABOa4IhmrEeFWojddz8GDW7TM/n1X+sb1OJIsAAIwSY2ADcnQBAUCiCADohhAmZAGRoQsI4eufkLUx01iiewYogRYAwhfKhKw20PJBjQgAaM60lVkoE7KaFvMaSwgCAQDNKFOZhTQhq0kpt3zQCAIAmlGmMiszIavLXSiptnzQGAIAmlGmMpt2pnHXu1BSbfmgMQSAsrp8htmkspXZNGvhdL0LhaUoUDMCQBldP8NsUhuVWde7UGJdYwnB4IIwZXChjsmsrja7rg6fDxLHBWHq1PUzzKY1vaQxXSjASASAMkjSha2KLhRyPIgYAaCM2M4wY6zsyrQ6yPEgcgSAMmJK0lHZXa7ro4iAMQgAZcVyqb4UKrveFs6OHdk2qrVDjgeRYzVQZGKv7PpXFH3llc37hq0uOj8/eBQROR5EghYAMrEntAe1cHoNau3EluMB+hAAkIm9sivSkuk/JqYcDzAAAQCZ2Cu7Ii2ZQce0neOJcWQWgkEAwKa2K7s6DWrh9AqxtcPILNSMAIBuKHsm3N/C2b4920Ju7cQwMosWTNBYCwjh6x/BI2Vn7CFW2lXasiU78+9nlrXSQpfq5xYQ1gJC98VwJjyNYXmLLVu6cSad6ufWIQQAhC/2OQrDDMtbXLjQjVxAqp9bh1QSAMzsW2b2kpmd6Nl3lZkdN7Nn8p9vzfebmX3NzNbN7Ekze28VZUDEYp+jMMxG3mJm5vL7unAmnern1iFVtQC+LWlv3747JT3k7rslPZTflqQbJe3OtxVJ91RUBsQq9jkKoywvD+/vr/tMumwCN+XPrSMqCQDu/oik3/ft3ifp3vz3eyV9rGf/dzzzqKQrzeztVZSjUxgdUVzscxTGaeNMuoohqKl/bl3g7pVskhYlnei5/Yee323jtqQfS/r7nvsekrQ04PFWJK1JWpufn/eoHD3qPjvrnv1rZdvsbLYf6NfG92Vh4dLn29gWFup7TlRO0pqPqLcbSQLnBZlovKm7H3H3JXdfmpubq6lkLWF0BCbRxpk0Cdwk1BkAfrfRtZP/fCnf/4KkXT3H7cz3pSPFf64qu7xS7D5repY2Cdwk1BkAjkm6Jf/9Fkk/6tn/mXw00PWS/ujuL9ZYjvCE+s9VV8U6bX/yoPKwPEIzqk7gphi0u2BU/1DRTdL3JL0o6f8knZH0eUnblfXvPyPpQUlX+WY+4G5J/y3pvzSg/79/u/baa2vsJWvBtH26R49mfbBm2c8q+4Dr7Geepj95WHm2bx/8WDMzg8ta53sWu6reO3JerdGYHEBlSeA6t+gCgPvk/1x1/xPVmfQzG/zYZpOXZ9TW/34Mes+2bs2CCAGhueBIQrk1BIBY1P1PNE0lXdSwsm/fPrwCmrTyH/R+FAkiqZ6JNnlWXud3CyONCwAsBdEVdSeO68xLDOpP3rpVeu214X35g2a/Slkf8qhlnXvfjyLvTaqjr5ociRZqzgsEgM6o+5+ozlmbg4YxvuUt0uuvX3pcbwV04cLgx7p4cfjyCNKl70fR9ybm0VfDNDkSjRnB4RrVPAhlowvIm2myN5kwHdctMK7Lq8j7MegY+qIzZboUi35Peo/bvp3cSwtEDiAiMY1oqaqCH/d+9FdC27bVG0S7osxItCJ/x8ifIBAAEKaqKvhpnjeWIFrWNO9F0ZYDI3+CMC4AcEWwVK2uZv3tzz2X9ZUfOtT8Il0HDmT9+RcuZH36KyvS4cPNlgGTKXqVsq5fzSwSXBEsZtPOrgxhNu3qqnTvvZvJ3gsXstvMEA1b0cEIjPzpBAJAV5WpxNtYjK4/WN1xBwvidVHRET2M/OmGUf1DoWzkAAYo08fa9MScoqNxmBzUDdOMAko939ISkQOIVJk+1sXFrMXQb2EhW2myasOeb5C6ygAkiBxArMr0sTbdPC86uSjELoLerqsdO7KNFS2nU+dqs6w0Op1RzYNQNrqABig7zrrJ5vk0awGFYFzXFePai6trXgDzDUYS8wCGiKF/siuvoav/pEUWk2NcezF1zQtgvsFI4wJAmjmAjRE0vaNQZme5YHWdQph3MKlheZZejGsvpq55Acw3GIkcwCBck7d5TV/SsApF8imMay+mrnkBzDcoJc0AkOI1ebsmhMTeoGR5rxCT1qGqa+AB8w3KGdU/FMo2dQ5gWB95SP2GXenHb1JIOYMYV7Rs6ztX1/PyPzSUkk0Cj6pEQqlgQilHaEIK0LHhO5eUdANAkeWG2z5rCK2iC+E9cecSgnUK7TuHWo0LAPGOAurC6ICQyhjSyKimZyqnJKTvHGqX7iigLowOCKmMIY2MajOxF0LyuU4hfefQungDQBdGB4RUxpBGRg26hnATLZFBK6zu35+VIZZgENJ3Du0b1T8Uylb5KKCQhFJG+obHz/yNJVkayncOtVOyOQBcatxM3JByAG0pMvOXPAQ6JN0cADYVuXhMW90uISnSD85kQUSEFkAKGFVTzKBWUD/eM3QILYAYFRmpcuCAdMUV2dn8sIuxcDZ7qd5WkJS9d71IliIyBIAiqhgaWNXwwiLdOQcOSPfcs3nB9WEY+ne5jUXr3KXvfjftLjFEjy6gcapIjlaZYC3SnXPFFeMr/9QSvECCxnUBEQDGqaL/vMo++CIzOfu7LvqP68p6/ABKCTYHYGZ7zexpM1s3szvbKsdYVUyQqnKSVZGZnDMzg4+ZmenWevwxiX2GMTqplQBgZjOS7pZ0o6Q9kj5tZnvaKMtYVUydr3L6fZGZnCsrg/922H7Uq0jeBmhBWy2A6yStu/uz7v66pPsk7WupLKNVMXW+6GMUOUssMl7/8GHp1ls3WwIzM9ntw4eLlxnVaWKdJVoYmMaoacJ1bZI+Kelfe27vl/T1vmNWJK1JWpufn694gvSEqpg6P+4xBq3TvrEsMhft6La6l7dmjX8MoRCvB1AkAPRuU68F1CUhrENTV0WSegVV9zpLrOOEIcYFgLa6gF6QtKvn9s58X7rGJYSbWJq5rq6KkJaa7tVUt0ndK3CGtJIrOqWtAPCYpN1mdo2ZbZN0s6RjLZUlDCGsQ1NXRRJiBdVkYrbudZZY4x9TaiUAuPt5SbdLekDSKUn3u/vJNsoSjEFnif3q/oeuqyIp+rhNJjKrbpWMK/vGDOM6huGyxj+mNap/KJQtiRyA+2aitDcBnEoOoOk8QZWJ2RByHCkn2TGUQkwCT7pFfUGYYdoqe1ujgJpOZFb5fCRhEahxASDepSC4wEm3jLoYy9Gj1X9mVX4/uNA6AhXsUhC1C3XkCQYblWeoIzlbZWKWJCw6Kt4AEOLIEww3KgleV+CuKjFLEhYdFW8A4KysfZOM6tk4Ix8m5MDN5TTRUfEGAM7K2jVonP3+/dnFaoZZXt68Gle/0AN3ncM8gZrEGwA4K2vXoByMu/SNb4xuCRC4gcbEOwoI7Ro1qmfchXBWV7MA8txzXLwGKCHdUUBo11VXDb9vXH9+KN0pLLGMyBEAUK2NSvOVV4YfE3p/vsRFXJAEAgCq01tpjlKkP7/ts2/mkSAB5ABQncXF8ZX/9u3Syy+PPiaEWdzM7kUEyAGgOeP69mdnpa9+dfzjhHD2zTwSJIAAgOqMqhwnGYYbwizuUIejtt01hqgQAFCdYZXm0aOTjeZp+ux7UKVa9TySKipuEtOo2qilQkPZkrkeQAyqWE66yfX1m3iuos8R2pLZXdTlJeBroKSvB4DuauofuYlKtchzFAkSVV7EJkYhXJgnMOMCAKOAkLYmRvsUeY5hI6h6Z00XOSZlvD+XYRRQTEgAVq+JfMOwx+qdLV0k8R1qYjoUIQwe6BgCQFeQAKxHE5XqoUPStm2X73/11c3Pr0ggYoHD0Ri6O7lR/UOhbOQAnARgnZrIN2zfPvrzazrxHWOilBzAZUQSOBIkALutyOfXRMUceyUZa3Cb0rgAQBK4K0hwddu4z6+pJbD5HiWFJHAsSAB226jPr8n8DolS9CAAdMUkCUBGC4Vn1OfX5NpHJErRgy6g2ISwkiYm0+TKo3w/kkIXUGpCWEkTk2nyrJyhpOhBAIgNfbzd03R+J5RLbqJ1BIDY0MfbPZyVoyUEgNgwWqibOCtHCwgAseFsEkBBpQKAmX3KzE6a2UUzW+q77y4zWzezp83swz379+b71s3szjLPjyGGnU0yPBRAjytK/v0JSZ+Q9M+9O81sj6SbJb1D0l9LetDM/ia/+25JH5J0RtJjZnbM3Z8qWQ6M0z/8b2OykUTrAEhUqRaAu59y96cH3LVP0n3u/id3/42kdUnX5du6uz/r7q9Lui8/FnVjeCiAPnXlAK6W9HzP7TP5vmH7L2NmK2a2ZmZrZ8+eramYCWF4KIA+YwOAmT1oZicGbLWeubv7EXdfcvelubm5Op8qDQwPBdBnbA7A3W+Y4nFfkLSr5/bOfJ9G7EedDh0avAQAw0OBZNXVBXRM0s1m9iYzu0bSbkm/kPSYpN1mdo2ZbVOWKD5WUxnQi+GhAPqUHQb6cTM7I+l9kn5iZg9IkruflHS/pKck/buk29z9grufl3S7pAcknZJ0f34smsBkowzDYQFJrAaK1LAaJhLCaqBAL4bDAm8gACAtDIcF3kAAQFoYDgu8gQCAtLBaKvAGAgDSwnBYDJPg6LCyi8EB3bO8TIWPSyW6WCItAABIdHQYAQBhKNr8nqSZnmCTfiq8T+mODnP34Ldrr73WEbGjR91nZ92lzW12Nts/zXGTHpsy3qfMwsKl78HGtrDQdslKkbTmI+pWZgKjfYuLWZ9rv4WFbMmKSY+b9NiU8T5lIp0hzkxghK9o83uSZnqqTfpJ8T5lEh0dRgBoAn2soxWdnDXJJC4mfBXD+7QpwcUSCQB122hanj6d9SpuDC8jCGwqOjlr0HFm0k03Tf+YqeN9ClcTJ46jEgShbJ1OAkeaXKrc0aPZe2KW/RyWhLz11uyYoongIo+ZOt6n8FSUnBdJ4JZt2ZJ9fP3MsqYmJkPSEimo6HtOErht9LFWi6QlUtDQ95wAUDf6WKtFQEUKGvqeEwDq1ubwshhHHxFQkYKmvuejEgShbJ1OArcl5hmeJC2Rggq+5yIJnCiSpUDySAKnimQpgDEIALEiWQpgDAJArEiWAhiDABCrRBe3AlAcl4SMGZc+BDACLQAASBQBAAASRQAAgEQRAAAgUQQAAEgUAQAAElUqAJjZl83sV2b2pJn90Myu7LnvLjNbN7OnzezDPfv35vvWzezOMs+PjotxtVKgQ8q2AI5Leqe7v0vSryXdJUlmtkfSzZLeIWmvpMNmNmNmM5LulnSjpD2SPp0fi0l1vfLkWslA60oFAHf/mbufz28+Kmln/vs+Sfe5+5/c/TeS1iVdl2/r7v6su78u6b78WEwihsrz4EHp3LlL9507l+0H0IgqcwCfk/TT/PerJT3fc9+ZfN+w/ZcxsxUzWzOztbNnz1ZYzAjEUHmyWinQurEBwMweNLMTA7Z9PccclHReUmWnoO5+xN2X3H1pbm6uqoeNQwyVJ6uVAq0buxaQu98w6n4z+6ykj0j6oG9eXeYFSbt6DtuZ79OI/Shqfn7wxV66VHkeOpR1W/W2ZFitFGhU2VFAeyV9SdJH3b23T+KYpJvN7E1mdo2k3ZJ+IekxSbvN7Boz26YsUXysTBmSFMNSz6xWCrSu7GqgX5f0JknHzUySHnX3f3D3k2Z2v6SnlHUN3ebuFyTJzG6X9ICkGUnfcveTJcuQno1K8uDBrNtnfj6r/LtWebJaKdAqrgkMAJHimsAAgIEIAACQKAIAACSKAAAAiSIAAECiCAAAkCgCAAAkigAAAIkiAABAoggAAJAoAgAAJIoAAACJIgB0XdevDQygNWWXg0abNq4NvHFRlY1rA0ssswxgLFoAXRbDtYEBtIYA0GUxXBsYQGsIAF3GhdU3kQsBJkYA6LIYrg1chY1cyOnTkvtmLoQgAIxEAOgyLqyeIRcCTIVrAqP7tmzJzvz7mUkXLzZfHiAQXBMY8SMXAkyFAIDuIxcCTIUAgO4jFwJMhZnAiMPyMhU+MCFaAACQKAIAACSKAAAAiSIAAECiCAAAkKhOzAQ2s7OSTk/xpzskvVxxcbqE18/r5/Wna4ekv3D3uWEHdCIATMvM1kZNg44dr5/Xz+vn9Y86hi4gAEgUAQAAEhV7ADjSdgFaxutPG68/bWNff9Q5AADAcLG3AAAAQxAAACBR0QcAM/uymf3KzJ40sx+a2ZVtl6lJZvYpMztpZhfNLIkhcWa218yeNrN1M7uz7fI0zcy+ZWYvmdmJtsvSNDPbZWYPm9lT+ff+jrbL1CQz+zMz+4WZ/Wf++v9x1PHRBwBJxyW9093fJenXku5quTxNOyHpE5IeabsgTTCzGUl3S7pR0h5JnzazPe2WqnHflrS37UK05LykL7r7HknXS7otsc//T5I+4O5/J+ndkvaa2fXDDo4+ALj7z9z9fH7zUUk72yxP09z9lLs/3XY5GnSdpHV3f9bdX5d0n6R9LZepUe7+iKTft12ONrj7i+7+y/z31ySdknR1u6Vqjmf+N7+5Nd+GjvSJPgD0+Zykn7ZdCNTqaknP99w+o4QqAGwys0VJ75H083ZL0iwzmzGzJyS9JOm4uw99/VFcEczMHpT0VwPuOujuP8qPOaisebjaZNmaUOT1AykxszdL+r6kL7j7q22Xp0nufkHSu/N85w/N7J3uPjAfFEUAcPcbRt1vZp+V9BFJH/QIJz6Me/2JeUHSrp7bO/N9SISZbVVW+a+6+w/aLk9b3P0PZvawsnzQwAAQfReQme2V9CVJH3X3c22XB7V7TNJuM7vGzLZJulnSsZbLhIaYmUn6pqRT7v6VtsvTNDOb2xjpaGZ/LulDkn417PjoA4Ckr0v6S0nHzewJM/tG2wVqkpl93MzOSHqfpJ+Y2QNtl6lOecL/dkkPKEsA3u/uJ9stVbPM7HuS/kPS35rZGTP7fNtlatD7Je2X9IH8//0JM7up7UI16O2SHjazJ5WdDB139x8PO5ilIAAgUSm0AAAAAxAAACBRBAAASBQBAAASRQAAgEQRAAAgUQQAAEjU/wMq4PkHDTI9YgAAAABJRU5ErkJggg==\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["## Model Definition\n","\n","Using TensorFlow, build a model with the following definition:\n","> Input of shape 5 \\\\\n","> Dense of shape 5 \\\\\n","> Dense of shape 5 \\\\\n","> Dense of shape 1 \\\\\n","\n","Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n","\n","Use Gradient Decay with appropriate parameters"],"metadata":{"id":"XMXb9lTyzGHE"}},{"cell_type":"code","source":["import tensorflow as tf\n","from tensorflow import keras\n","\n","model = keras.Sequential\n","([\n"," keras.layers.Dense(5,input_dim=5,activation='relu'),\n"," keras.layers.Dense(5,activation='relu'),\n"," keras.layers.Dense(1)\n","])\n","\n","model.compile(loss='mean_squared_error',optimizer = tf.keras.optimizers.SGD(0.001))\n","history =model.fit(X_train,y_train,epochs=50,validation_split = 0.2,verbose=2)\n","predictions = model.predict(X_test)\n","\n","# Your code here"],"metadata":{"id":"r32N1xK2ziOs","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1655465291948,"user_tz":-330,"elapsed":6908,"user":{"displayName":"Anurag Singh","userId":"10745855479500948138"}},"outputId":"3c92ebfd-20dd-4dcf-c6e6-8719ad9242f1"},"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/50\n","2/2 - 1s - loss: 12571.1875 - val_loss: 7129.7085 - 789ms/epoch - 394ms/step\n","Epoch 2/50\n","2/2 - 0s - loss: 12496.2139 - val_loss: 7049.2002 - 33ms/epoch - 17ms/step\n","Epoch 3/50\n","2/2 - 0s - loss: 12375.6641 - val_loss: 6867.0645 - 31ms/epoch - 16ms/step\n","Epoch 4/50\n","2/2 - 0s - loss: 12113.3945 - val_loss: 6326.2017 - 30ms/epoch - 15ms/step\n","Epoch 5/50\n","2/2 - 0s - loss: 11325.4414 - val_loss: 4394.9336 - 37ms/epoch - 18ms/step\n","Epoch 6/50\n","2/2 - 0s - loss: 8199.1475 - val_loss: 1677.2324 - 31ms/epoch - 15ms/step\n","Epoch 7/50\n","2/2 - 0s - loss: 4377.1079 - val_loss: 505.3948 - 28ms/epoch - 14ms/step\n","Epoch 8/50\n","2/2 - 0s - loss: 1101.1558 - val_loss: 712.5617 - 33ms/epoch - 17ms/step\n","Epoch 9/50\n","2/2 - 0s - loss: 1523.3835 - val_loss: 749.2360 - 34ms/epoch - 17ms/step\n","Epoch 10/50\n","2/2 - 0s - loss: 1584.0647 - val_loss: 643.6066 - 31ms/epoch - 16ms/step\n","Epoch 11/50\n","2/2 - 0s - loss: 728.8868 - val_loss: 1669.6443 - 31ms/epoch - 15ms/step\n","Epoch 12/50\n","2/2 - 0s - loss: 1791.9958 - val_loss: 598.3815 - 29ms/epoch - 15ms/step\n","Epoch 13/50\n","2/2 - 0s - loss: 346.0421 - val_loss: 169.7264 - 34ms/epoch - 17ms/step\n","Epoch 14/50\n","2/2 - 0s - loss: 210.1525 - val_loss: 104.7498 - 40ms/epoch - 20ms/step\n","Epoch 15/50\n","2/2 - 0s - loss: 207.7090 - val_loss: 80.8680 - 36ms/epoch - 18ms/step\n","Epoch 16/50\n","2/2 - 0s - loss: 132.6408 - val_loss: 181.2822 - 37ms/epoch - 18ms/step\n","Epoch 17/50\n","2/2 - 0s - loss: 145.0695 - val_loss: 105.7047 - 35ms/epoch - 18ms/step\n","Epoch 18/50\n","2/2 - 0s - loss: 134.5298 - val_loss: 118.7442 - 36ms/epoch - 18ms/step\n","Epoch 19/50\n","2/2 - 0s - loss: 106.6155 - val_loss: 73.9608 - 34ms/epoch - 17ms/step\n","Epoch 20/50\n","2/2 - 0s - loss: 75.5803 - val_loss: 187.0749 - 35ms/epoch - 17ms/step\n","Epoch 21/50\n","2/2 - 0s - loss: 158.6006 - val_loss: 265.2912 - 31ms/epoch - 15ms/step\n","Epoch 22/50\n","2/2 - 0s - loss: 223.1525 - val_loss: 467.9523 - 37ms/epoch - 19ms/step\n","Epoch 23/50\n","2/2 - 0s - loss: 457.9778 - val_loss: 443.5191 - 28ms/epoch - 14ms/step\n","Epoch 24/50\n","2/2 - 0s - loss: 193.6060 - val_loss: 159.5966 - 30ms/epoch - 15ms/step\n","Epoch 25/50\n","2/2 - 0s - loss: 115.8183 - val_loss: 138.5821 - 33ms/epoch - 17ms/step\n","Epoch 26/50\n","2/2 - 0s - loss: 85.1698 - val_loss: 147.6904 - 40ms/epoch - 20ms/step\n","Epoch 27/50\n","2/2 - 0s - loss: 92.5099 - val_loss: 158.8256 - 37ms/epoch - 18ms/step\n","Epoch 28/50\n","2/2 - 0s - loss: 63.2335 - val_loss: 127.1065 - 35ms/epoch - 18ms/step\n","Epoch 29/50\n","2/2 - 0s - loss: 81.3979 - val_loss: 134.5626 - 30ms/epoch - 15ms/step\n","Epoch 30/50\n","2/2 - 0s - loss: 90.9914 - val_loss: 101.8017 - 37ms/epoch - 19ms/step\n","Epoch 31/50\n","2/2 - 0s - loss: 50.1973 - val_loss: 86.0154 - 31ms/epoch - 16ms/step\n","Epoch 32/50\n","2/2 - 0s - loss: 60.7954 - val_loss: 79.2144 - 39ms/epoch - 19ms/step\n","Epoch 33/50\n","2/2 - 0s - loss: 63.6865 - val_loss: 41.5513 - 31ms/epoch - 15ms/step\n","Epoch 34/50\n","2/2 - 0s - loss: 25.7162 - val_loss: 39.0340 - 34ms/epoch - 17ms/step\n","Epoch 35/50\n","2/2 - 0s - loss: 26.9080 - val_loss: 43.4235 - 37ms/epoch - 18ms/step\n","Epoch 36/50\n","2/2 - 0s - loss: 20.0984 - val_loss: 36.6535 - 32ms/epoch - 16ms/step\n","Epoch 37/50\n","2/2 - 0s - loss: 20.1993 - val_loss: 44.8635 - 35ms/epoch - 17ms/step\n","Epoch 38/50\n","2/2 - 0s - loss: 39.0405 - val_loss: 63.5409 - 30ms/epoch - 15ms/step\n","Epoch 39/50\n","2/2 - 0s - loss: 46.8739 - val_loss: 49.5526 - 30ms/epoch - 15ms/step\n","Epoch 40/50\n","2/2 - 0s - loss: 23.2586 - val_loss: 41.4384 - 31ms/epoch - 15ms/step\n","Epoch 41/50\n","2/2 - 0s - loss: 19.7721 - val_loss: 43.4757 - 28ms/epoch - 14ms/step\n","Epoch 42/50\n","2/2 - 0s - loss: 20.3897 - val_loss: 51.8159 - 34ms/epoch - 17ms/step\n","Epoch 43/50\n","2/2 - 0s - loss: 25.7211 - val_loss: 43.0336 - 29ms/epoch - 15ms/step\n","Epoch 44/50\n","2/2 - 0s - loss: 20.4406 - val_loss: 46.8883 - 32ms/epoch - 16ms/step\n","Epoch 45/50\n","2/2 - 0s - loss: 19.6630 - val_loss: 39.6647 - 29ms/epoch - 15ms/step\n","Epoch 46/50\n","2/2 - 0s - loss: 56.0538 - val_loss: 55.8026 - 33ms/epoch - 17ms/step\n","Epoch 47/50\n","2/2 - 0s - loss: 42.7105 - val_loss: 42.8702 - 32ms/epoch - 16ms/step\n","Epoch 48/50\n","2/2 - 0s - loss: 69.4790 - val_loss: 46.0566 - 33ms/epoch - 17ms/step\n","Epoch 49/50\n","2/2 - 0s - loss: 31.0399 - val_loss: 44.7458 - 34ms/epoch - 17ms/step\n","Epoch 50/50\n","2/2 - 0s - loss: 24.3382 - val_loss: 38.2838 - 38ms/epoch - 19ms/step\n"]}]},{"cell_type":"markdown","source":["## Plot Loss\n","\n","Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations."],"metadata":{"id":"jmeP6vt3z0oA"}},{"cell_type":"code","source":["# Your code here\n","\n","plt.plot(history.history['loss'], label = 'Loss')\n","plt.plot(history.history['val_loss'], label = 'Value Loss')"],"metadata":{"id":"RQTNqPHm0mOi","colab":{"base_uri":"https://localhost:8080/","height":282},"executionInfo":{"status":"ok","timestamp":1655465387460,"user_tz":-330,"elapsed":992,"user":{"displayName":"Anurag Singh","userId":"10745855479500948138"}},"outputId":"301452f9-d312-4659-c00d-18698f384d50"},"execution_count":14,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[]"]},"metadata":{},"execution_count":14},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["## Evaluation Metrics\n","Use the R2 Score function implemented in the first assignment to evaluate the performance of the model."],"metadata":{"id":"IVrR_vXA7kOt"}},{"cell_type":"code","source":["# Insert the function for R2 Score\n","\n","def r2_score(y_true, y_pred):\n"," # return the r2 score\n"," y_mean = y_true.mean()\n"," return (float) (1-(((y_true - y_pred)**2).mean())/(((y_true - y_mean)**2).mean()))\n","\n","a = r2_score(y_test, predictions.flatten()) # Pass appropriate parts of dataset\n","print(\"Accuracy is %.6f\" %a)"],"metadata":{"id":"-lOHpD8-7ggm","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1655465492190,"user_tz":-330,"elapsed":6,"user":{"displayName":"Anurag Singh","userId":"10745855479500948138"}},"outputId":"1f79a2c1-e4da-47d7-f560-7146e172d6a8"},"execution_count":17,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy is 0.996855\n"]}]},{"cell_type":"markdown","source":["## Your own custom model\n","Build a custom model of your own choice.
\n","Describe it in detail in Markdown/Latex in the cell below.
\n","Visualise the loss, as before."],"metadata":{"id":"CHqzF1OU0pBg"}},{"cell_type":"markdown","source":["Your text here"],"metadata":{"id":"jF8oTUqq0y0g"}},{"cell_type":"code","source":["#Your code here\n","\n","model_custom = keras.Sequential([\n"," keras.layers.Dense(64,input_dim=5,activation='relu'),\n"," keras.layers.Dense(15,activation='relu'),\n"," keras.layers.Dense(10,activation='relu'),\n"," keras.layers.Dense(1)\n","])\n","model_custom.compile(\n"," optimizer=tf.optimizers.Adam(learning_rate=0.01),\n"," loss='mean_absolute_error')\n","\n","history_custom =model_custom.fit(\n"," X_train,y_train,\n"," validation_split=0.2,\n"," verbose=2, epochs=50)"],"metadata":{"id":"1XOk5hJu0oSQ","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1655466605090,"user_tz":-330,"elapsed":2772,"user":{"displayName":"Anurag Singh","userId":"10745855479500948138"}},"outputId":"f42a15f7-af55-40fb-c72a-0a3ebdd250c9"},"execution_count":40,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/50\n","2/2 - 1s - loss: 89.0628 - val_loss: 72.3636 - 588ms/epoch - 294ms/step\n","Epoch 2/50\n","2/2 - 0s - loss: 88.8654 - val_loss: 72.2139 - 33ms/epoch - 16ms/step\n","Epoch 3/50\n","2/2 - 0s - loss: 88.6023 - val_loss: 72.0200 - 32ms/epoch - 16ms/step\n","Epoch 4/50\n","2/2 - 0s - loss: 88.2408 - val_loss: 71.7296 - 31ms/epoch - 16ms/step\n","Epoch 5/50\n","2/2 - 0s - loss: 87.7338 - val_loss: 71.2658 - 35ms/epoch - 17ms/step\n","Epoch 6/50\n","2/2 - 0s - loss: 86.9496 - val_loss: 70.5785 - 29ms/epoch - 15ms/step\n","Epoch 7/50\n","2/2 - 0s - loss: 85.8741 - val_loss: 69.5940 - 46ms/epoch - 23ms/step\n","Epoch 8/50\n","2/2 - 0s - loss: 84.6013 - val_loss: 68.2235 - 45ms/epoch - 23ms/step\n","Epoch 9/50\n","2/2 - 0s - loss: 82.9271 - val_loss: 66.6335 - 50ms/epoch - 25ms/step\n","Epoch 10/50\n","2/2 - 0s - loss: 80.1586 - val_loss: 64.6243 - 39ms/epoch - 20ms/step\n","Epoch 11/50\n","2/2 - 0s - loss: 76.9905 - val_loss: 62.0099 - 42ms/epoch - 21ms/step\n","Epoch 12/50\n","2/2 - 0s - loss: 73.3769 - val_loss: 59.4114 - 53ms/epoch - 26ms/step\n","Epoch 13/50\n","2/2 - 0s - loss: 67.3792 - val_loss: 56.0319 - 45ms/epoch - 23ms/step\n","Epoch 14/50\n","2/2 - 0s - loss: 62.1901 - val_loss: 53.0435 - 32ms/epoch - 16ms/step\n","Epoch 15/50\n","2/2 - 0s - loss: 57.2723 - val_loss: 52.8490 - 38ms/epoch - 19ms/step\n","Epoch 16/50\n","2/2 - 0s - loss: 52.5026 - val_loss: 53.1498 - 38ms/epoch - 19ms/step\n","Epoch 17/50\n","2/2 - 0s - loss: 49.0865 - val_loss: 49.6287 - 37ms/epoch - 18ms/step\n","Epoch 18/50\n","2/2 - 0s - loss: 46.3213 - val_loss: 47.5773 - 37ms/epoch - 19ms/step\n","Epoch 19/50\n","2/2 - 0s - loss: 43.4879 - val_loss: 44.9667 - 41ms/epoch - 20ms/step\n","Epoch 20/50\n","2/2 - 0s - loss: 42.9988 - val_loss: 41.9352 - 35ms/epoch - 18ms/step\n","Epoch 21/50\n","2/2 - 0s - loss: 40.0011 - val_loss: 38.6266 - 40ms/epoch - 20ms/step\n","Epoch 22/50\n","2/2 - 0s - loss: 37.0620 - val_loss: 33.9961 - 37ms/epoch - 18ms/step\n","Epoch 23/50\n","2/2 - 0s - loss: 33.8080 - val_loss: 27.7031 - 39ms/epoch - 20ms/step\n","Epoch 24/50\n","2/2 - 0s - loss: 29.2837 - val_loss: 21.1020 - 38ms/epoch - 19ms/step\n","Epoch 25/50\n","2/2 - 0s - loss: 25.6882 - val_loss: 15.2167 - 43ms/epoch - 22ms/step\n","Epoch 26/50\n","2/2 - 0s - loss: 21.2897 - val_loss: 14.2414 - 32ms/epoch - 16ms/step\n","Epoch 27/50\n","2/2 - 0s - loss: 18.8622 - val_loss: 12.0345 - 37ms/epoch - 18ms/step\n","Epoch 28/50\n","2/2 - 0s - loss: 16.8748 - val_loss: 13.7153 - 33ms/epoch - 17ms/step\n","Epoch 29/50\n","2/2 - 0s - loss: 15.7881 - val_loss: 14.0560 - 36ms/epoch - 18ms/step\n","Epoch 30/50\n","2/2 - 0s - loss: 13.3920 - val_loss: 16.0689 - 34ms/epoch - 17ms/step\n","Epoch 31/50\n","2/2 - 0s - loss: 14.6819 - val_loss: 14.6203 - 35ms/epoch - 17ms/step\n","Epoch 32/50\n","2/2 - 0s - loss: 12.6342 - val_loss: 12.2780 - 36ms/epoch - 18ms/step\n","Epoch 33/50\n","2/2 - 0s - loss: 12.5174 - val_loss: 12.2983 - 32ms/epoch - 16ms/step\n","Epoch 34/50\n","2/2 - 0s - loss: 11.5559 - val_loss: 8.9856 - 33ms/epoch - 16ms/step\n","Epoch 35/50\n","2/2 - 0s - loss: 10.0819 - val_loss: 8.6677 - 33ms/epoch - 17ms/step\n","Epoch 36/50\n","2/2 - 0s - loss: 10.0854 - val_loss: 9.6684 - 36ms/epoch - 18ms/step\n","Epoch 37/50\n","2/2 - 0s - loss: 9.4756 - val_loss: 11.0051 - 38ms/epoch - 19ms/step\n","Epoch 38/50\n","2/2 - 0s - loss: 8.8457 - val_loss: 9.3883 - 49ms/epoch - 25ms/step\n","Epoch 39/50\n","2/2 - 0s - loss: 7.5584 - val_loss: 7.1456 - 31ms/epoch - 15ms/step\n","Epoch 40/50\n","2/2 - 0s - loss: 8.5364 - val_loss: 6.3658 - 34ms/epoch - 17ms/step\n","Epoch 41/50\n","2/2 - 0s - loss: 7.3113 - val_loss: 7.4882 - 36ms/epoch - 18ms/step\n","Epoch 42/50\n","2/2 - 0s - loss: 6.8390 - val_loss: 9.6282 - 40ms/epoch - 20ms/step\n","Epoch 43/50\n","2/2 - 0s - loss: 6.8150 - val_loss: 7.8309 - 38ms/epoch - 19ms/step\n","Epoch 44/50\n","2/2 - 0s - loss: 5.9344 - val_loss: 6.0203 - 33ms/epoch - 17ms/step\n","Epoch 45/50\n","2/2 - 0s - loss: 6.1809 - val_loss: 5.3798 - 34ms/epoch - 17ms/step\n","Epoch 46/50\n","2/2 - 0s - loss: 5.5780 - val_loss: 6.4669 - 35ms/epoch - 17ms/step\n","Epoch 47/50\n","2/2 - 0s - loss: 5.6535 - val_loss: 7.3037 - 34ms/epoch - 17ms/step\n","Epoch 48/50\n","2/2 - 0s - loss: 6.5228 - val_loss: 5.7414 - 37ms/epoch - 18ms/step\n","Epoch 49/50\n","2/2 - 0s - loss: 4.7300 - val_loss: 7.3487 - 33ms/epoch - 16ms/step\n","Epoch 50/50\n","2/2 - 0s - loss: 5.3309 - val_loss: 6.5498 - 34ms/epoch - 17ms/step\n"]}]},{"cell_type":"code","source":["plt.plot(history.history['loss'], label='loss')\n","plt.plot(history.history['val_loss'], label='val_loss')"],"metadata":{"id":"aS0ROZa402Lo","colab":{"base_uri":"https://localhost:8080/","height":282},"executionInfo":{"status":"ok","timestamp":1655466613110,"user_tz":-330,"elapsed":527,"user":{"displayName":"Anurag Singh","userId":"10745855479500948138"}},"outputId":"4730aaf4-8c47-45e0-fbd1-271965f01cc1"},"execution_count":41,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[]"]},"metadata":{},"execution_count":41},{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":["prediction_custom = model_custom.predict(X_test)\n","r2_score(y_test,prediction_custom.flatten())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"mPcf5iNheHuF","executionInfo":{"status":"ok","timestamp":1655466616651,"user_tz":-330,"elapsed":418,"user":{"displayName":"Anurag Singh","userId":"10745855479500948138"}},"outputId":"2beb358f-6cd1-4fea-add1-0457e9c19d51"},"execution_count":42,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.9883281351121341"]},"metadata":{},"execution_count":42}]}]} \ No newline at end of file diff --git a/Assignment 2/A2_200244.ipynb b/Assignment 2/A2_200244.ipynb deleted file mode 100644 index fbaece0..0000000 --- a/Assignment 2/A2_200244.ipynb +++ /dev/null @@ -1,828 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "UxcaEbrCy1g_" - }, - "source": [ - "# Assigment 2: Deep Learning" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "h2JON-_Oy79w" - }, - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r6it-Rm7zD1Y" - }, - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "id": "UautPVj1yzaQ" - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "figure, axis = plt.subplots(1,5, figsize=(30,6))\n", - "for i in range(5):\n", - " axis[i].scatter(X[:,i],y)\n", - " m, b = np.polyfit(X[:,i], y, 1)\n", - "# axis[i].plot(X[:,i],m*X[:,i]+b, color = \"red\")\n", - " axis[i].set(ylabel = \"X[{}]\".format(i))\n", - "\n", - "\n", - "# Your code here" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "XMXb9lTyzGHE" - }, - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "id": "r32N1xK2ziOs" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers\n", - "\n", - "# normalizer = tf.keras.layers.Normalization(axis=-1)\n", - "# normalizer.adapt(np.array(X_train))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/100\n", - "2/2 [==============================] - 0s 125ms/step - loss: 12550.8145 - mean_squared_error: 12550.8145 - val_loss: 7107.4004 - val_mean_squared_error: 7107.4004\n", - "Epoch 2/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 12489.0449 - mean_squared_error: 12489.0449 - val_loss: 7000.7349 - val_mean_squared_error: 7000.7349\n", - "Epoch 3/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 12352.7422 - mean_squared_error: 12352.7422 - val_loss: 6722.9185 - val_mean_squared_error: 6722.9185\n", - "Epoch 4/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 11977.8125 - mean_squared_error: 11977.8125 - val_loss: 5785.0254 - val_mean_squared_error: 5785.0254\n", - "Epoch 5/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 10597.5449 - mean_squared_error: 10597.5449 - val_loss: 2769.6055 - val_mean_squared_error: 2769.6055\n", - "Epoch 6/100\n", - "2/2 [==============================] - 0s 47ms/step - loss: 7468.4775 - mean_squared_error: 7468.4775 - val_loss: 1824.4832 - val_mean_squared_error: 1824.4832\n", - "Epoch 7/100\n", - "2/2 [==============================] - 0s 47ms/step - loss: 6535.5957 - mean_squared_error: 6535.5957 - val_loss: 1961.8503 - val_mean_squared_error: 1961.8503\n", - "Epoch 8/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6356.7080 - mean_squared_error: 6356.7080 - val_loss: 1689.4409 - val_mean_squared_error: 1689.4409\n", - "Epoch 9/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6225.2383 - mean_squared_error: 6225.2383 - val_loss: 1707.8192 - val_mean_squared_error: 1707.8192\n", - "Epoch 10/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6248.2695 - mean_squared_error: 6248.2695 - val_loss: 1806.5438 - val_mean_squared_error: 1806.5438\n", - "Epoch 11/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6360.8262 - mean_squared_error: 6360.8262 - val_loss: 1893.4795 - val_mean_squared_error: 1893.4795\n", - "Epoch 12/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6415.4795 - mean_squared_error: 6415.4795 - val_loss: 1929.0881 - val_mean_squared_error: 1929.0881\n", - "Epoch 13/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6594.1768 - mean_squared_error: 6594.1768 - val_loss: 1673.6116 - val_mean_squared_error: 1673.6116\n", - "Epoch 14/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6191.7920 - mean_squared_error: 6191.7920 - val_loss: 1615.9905 - val_mean_squared_error: 1615.9905\n", - "Epoch 15/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6162.5449 - mean_squared_error: 6162.5449 - val_loss: 1589.0177 - val_mean_squared_error: 1589.0177\n", - "Epoch 16/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6150.1523 - mean_squared_error: 6150.1523 - val_loss: 1598.5806 - val_mean_squared_error: 1598.5806\n", - "Epoch 17/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6152.5151 - mean_squared_error: 6152.5151 - val_loss: 1603.8873 - val_mean_squared_error: 1603.8873\n", - "Epoch 18/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6173.3662 - mean_squared_error: 6173.3662 - val_loss: 1601.4417 - val_mean_squared_error: 1601.4417\n", - "Epoch 19/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6149.0229 - mean_squared_error: 6149.0229 - val_loss: 1581.9856 - val_mean_squared_error: 1581.9856\n", - "Epoch 20/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6147.6240 - mean_squared_error: 6147.6240 - val_loss: 1582.6340 - val_mean_squared_error: 1582.6340\n", - "Epoch 21/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6158.2314 - mean_squared_error: 6158.2314 - val_loss: 1615.2427 - val_mean_squared_error: 1615.2427\n", - "Epoch 22/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6181.0850 - mean_squared_error: 6181.0850 - val_loss: 1612.5022 - val_mean_squared_error: 1612.5022\n", - "Epoch 23/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6176.5908 - mean_squared_error: 6176.5908 - val_loss: 1609.6917 - val_mean_squared_error: 1609.6917\n", - "Epoch 24/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6188.9238 - mean_squared_error: 6188.9238 - val_loss: 1600.7781 - val_mean_squared_error: 1600.7781\n", - "Epoch 25/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6180.9307 - mean_squared_error: 6180.9307 - val_loss: 1590.7181 - val_mean_squared_error: 1590.7181\n", - "Epoch 26/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6161.3164 - mean_squared_error: 6161.3164 - val_loss: 1591.2886 - val_mean_squared_error: 1591.2886\n", - "Epoch 27/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6160.7437 - mean_squared_error: 6160.7437 - val_loss: 1604.5017 - val_mean_squared_error: 1604.5017\n", - "Epoch 28/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6160.5767 - mean_squared_error: 6160.5767 - val_loss: 1591.4280 - val_mean_squared_error: 1591.4280\n", - "Epoch 29/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6152.0889 - mean_squared_error: 6152.0889 - val_loss: 1583.2688 - val_mean_squared_error: 1583.2688\n", - "Epoch 30/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6152.3213 - mean_squared_error: 6152.3213 - val_loss: 1583.5441 - val_mean_squared_error: 1583.5441\n", - "Epoch 31/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6158.3584 - mean_squared_error: 6158.3584 - val_loss: 1592.4092 - val_mean_squared_error: 1592.4092\n", - "Epoch 32/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6173.7803 - mean_squared_error: 6173.7803 - val_loss: 1592.4795 - val_mean_squared_error: 1592.4795\n", - "Epoch 33/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6165.3057 - mean_squared_error: 6165.3057 - val_loss: 1597.3104 - val_mean_squared_error: 1597.3104\n", - "Epoch 34/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6206.0767 - mean_squared_error: 6206.0767 - val_loss: 1665.3696 - val_mean_squared_error: 1665.3696\n", - "Epoch 35/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6173.6045 - mean_squared_error: 6173.6045 - val_loss: 1587.0344 - val_mean_squared_error: 1587.0344\n", - "Epoch 36/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6146.5293 - mean_squared_error: 6146.5293 - val_loss: 1584.7848 - val_mean_squared_error: 1584.7848\n", - "Epoch 37/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6150.4746 - mean_squared_error: 6150.4746 - val_loss: 1583.0190 - val_mean_squared_error: 1583.0190\n", - "Epoch 38/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6152.8184 - mean_squared_error: 6152.8184 - val_loss: 1589.8701 - val_mean_squared_error: 1589.8701\n", - "Epoch 39/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6155.5093 - mean_squared_error: 6155.5093 - val_loss: 1580.8036 - val_mean_squared_error: 1580.8036\n", - "Epoch 40/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6147.3496 - mean_squared_error: 6147.3496 - val_loss: 1582.7959 - val_mean_squared_error: 1582.7959\n", - "Epoch 41/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6146.3145 - mean_squared_error: 6146.3145 - val_loss: 1583.4884 - val_mean_squared_error: 1583.4884\n", - "Epoch 42/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6147.0117 - mean_squared_error: 6147.0117 - val_loss: 1587.1345 - val_mean_squared_error: 1587.1345\n", - "Epoch 43/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6149.1201 - mean_squared_error: 6149.1201 - val_loss: 1596.3696 - val_mean_squared_error: 1596.3696\n", - "Epoch 44/100\n", - "2/2 [==============================] - 0s 47ms/step - loss: 6158.2910 - mean_squared_error: 6158.2910 - val_loss: 1604.3877 - val_mean_squared_error: 1604.3877\n", - "Epoch 45/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6158.8857 - mean_squared_error: 6158.8857 - val_loss: 1599.1454 - val_mean_squared_error: 1599.1454\n", - "Epoch 46/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6150.1831 - mean_squared_error: 6150.1831 - val_loss: 1586.0565 - val_mean_squared_error: 1586.0565\n", - "Epoch 47/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6154.1484 - mean_squared_error: 6154.1484 - val_loss: 1615.3528 - val_mean_squared_error: 1615.3528\n", - "Epoch 48/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6178.0396 - mean_squared_error: 6178.0396 - val_loss: 1649.1013 - val_mean_squared_error: 1649.1013\n", - "Epoch 49/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6201.2500 - mean_squared_error: 6201.2500 - val_loss: 1657.8030 - val_mean_squared_error: 1657.8030\n", - "Epoch 50/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6215.4131 - mean_squared_error: 6215.4131 - val_loss: 1593.9775 - val_mean_squared_error: 1593.9775\n", - "Epoch 51/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6161.8218 - mean_squared_error: 6161.8218 - val_loss: 1584.5491 - val_mean_squared_error: 1584.5491\n", - "Epoch 52/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6156.1582 - mean_squared_error: 6156.1582 - val_loss: 1594.8816 - val_mean_squared_error: 1594.8816\n", - "Epoch 53/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6173.3467 - mean_squared_error: 6173.3467 - val_loss: 1582.1194 - val_mean_squared_error: 1582.1194\n", - "Epoch 54/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6155.9976 - mean_squared_error: 6155.9976 - val_loss: 1582.5896 - val_mean_squared_error: 1582.5896\n", - "Epoch 55/100\n", - "2/2 [==============================] - 0s 47ms/step - loss: 6150.8076 - mean_squared_error: 6150.8076 - val_loss: 1585.1320 - val_mean_squared_error: 1585.1320\n", - "Epoch 56/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6146.3535 - mean_squared_error: 6146.3535 - val_loss: 1582.6653 - val_mean_squared_error: 1582.6653\n", - "Epoch 57/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6145.9473 - mean_squared_error: 6145.9473 - val_loss: 1583.8707 - val_mean_squared_error: 1583.8707\n", - "Epoch 58/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6145.9043 - mean_squared_error: 6145.9043 - val_loss: 1583.2026 - val_mean_squared_error: 1583.2026\n", - "Epoch 59/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6148.4980 - mean_squared_error: 6148.4980 - val_loss: 1582.7107 - val_mean_squared_error: 1582.7107\n", - "Epoch 60/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6146.2856 - mean_squared_error: 6146.2856 - val_loss: 1596.1536 - val_mean_squared_error: 1596.1536\n", - "Epoch 61/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6156.3081 - mean_squared_error: 6156.3081 - val_loss: 1622.9658 - val_mean_squared_error: 1622.9658\n", - "Epoch 62/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6162.5332 - mean_squared_error: 6162.5332 - val_loss: 1604.7729 - val_mean_squared_error: 1604.7729\n", - "Epoch 63/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6171.0200 - mean_squared_error: 6171.0200 - val_loss: 1627.2622 - val_mean_squared_error: 1627.2622\n", - "Epoch 64/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6177.5093 - mean_squared_error: 6177.5093 - val_loss: 1610.4575 - val_mean_squared_error: 1610.4575\n", - "Epoch 65/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6179.0273 - mean_squared_error: 6179.0273 - val_loss: 1587.3044 - val_mean_squared_error: 1587.3044\n", - "Epoch 66/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6157.7793 - mean_squared_error: 6157.7793 - val_loss: 1591.7571 - val_mean_squared_error: 1591.7571\n", - "Epoch 67/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6159.1162 - mean_squared_error: 6159.1162 - val_loss: 1599.3643 - val_mean_squared_error: 1599.3643\n", - "Epoch 68/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6167.9453 - mean_squared_error: 6167.9453 - val_loss: 1610.2629 - val_mean_squared_error: 1610.2629\n", - "Epoch 69/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6157.4170 - mean_squared_error: 6157.4170 - val_loss: 1586.0851 - val_mean_squared_error: 1586.0851\n", - "Epoch 70/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 6146.9282 - mean_squared_error: 6146.9282 - val_loss: 1584.3721 - val_mean_squared_error: 1584.3721\n", - "Epoch 71/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6146.0254 - mean_squared_error: 6146.0254 - val_loss: 1584.3058 - val_mean_squared_error: 1584.3058\n", - "Epoch 72/100\n", - "2/2 [==============================] - 0s 78ms/step - loss: 6145.2861 - mean_squared_error: 6145.2861 - val_loss: 1582.1245 - val_mean_squared_error: 1582.1245\n", - "Epoch 73/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6146.8047 - mean_squared_error: 6146.8047 - val_loss: 1583.3132 - val_mean_squared_error: 1583.3132\n", - "Epoch 74/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6150.4170 - mean_squared_error: 6150.4170 - val_loss: 1609.1038 - val_mean_squared_error: 1609.1038\n", - "Epoch 75/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6170.3726 - mean_squared_error: 6170.3726 - val_loss: 1588.9092 - val_mean_squared_error: 1588.9092\n", - "Epoch 76/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6148.2363 - mean_squared_error: 6148.2363 - val_loss: 1582.8490 - val_mean_squared_error: 1582.8490\n", - "Epoch 77/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6155.4355 - mean_squared_error: 6155.4355 - val_loss: 1588.3284 - val_mean_squared_error: 1588.3284\n", - "Epoch 78/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6162.8232 - mean_squared_error: 6162.8232 - val_loss: 1582.4829 - val_mean_squared_error: 1582.4829\n", - "Epoch 79/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6148.0479 - mean_squared_error: 6148.0479 - val_loss: 1581.4484 - val_mean_squared_error: 1581.4484\n", - "Epoch 80/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6148.4199 - mean_squared_error: 6148.4199 - val_loss: 1582.6655 - val_mean_squared_error: 1582.6655\n", - "Epoch 81/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6149.7715 - mean_squared_error: 6149.7715 - val_loss: 1583.0565 - val_mean_squared_error: 1583.0565\n", - "Epoch 82/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6153.5449 - mean_squared_error: 6153.5449 - val_loss: 1585.4158 - val_mean_squared_error: 1585.4158\n", - "Epoch 83/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6158.2109 - mean_squared_error: 6158.2109 - val_loss: 1594.4165 - val_mean_squared_error: 1594.4165\n", - "Epoch 84/100\n", - "2/2 [==============================] - 0s 16ms/step - loss: 6154.7041 - mean_squared_error: 6154.7041 - val_loss: 1585.7595 - val_mean_squared_error: 1585.7595\n", - "Epoch 85/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6148.0869 - mean_squared_error: 6148.0869 - val_loss: 1583.3845 - val_mean_squared_error: 1583.3845\n", - "Epoch 86/100\n", - "2/2 [==============================] - 0s 47ms/step - loss: 6145.2129 - mean_squared_error: 6145.2129 - val_loss: 1582.6382 - val_mean_squared_error: 1582.6382\n", - "Epoch 87/100\n", - "2/2 [==============================] - 0s 27ms/step - loss: 6147.6064 - mean_squared_error: 6147.6064 - val_loss: 1591.9414 - val_mean_squared_error: 1591.9414\n", - "Epoch 88/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 6155.3447 - mean_squared_error: 6155.3447 - val_loss: 1592.7069 - val_mean_squared_error: 1592.7069\n", - "Epoch 89/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 6146.9497 - mean_squared_error: 6146.9497 - val_loss: 1583.6670 - val_mean_squared_error: 1583.6670\n", - "Epoch 90/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 6146.3682 - mean_squared_error: 6146.3682 - val_loss: 1585.3877 - val_mean_squared_error: 1585.3877\n", - "Epoch 91/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 6146.9756 - mean_squared_error: 6146.9756 - val_loss: 1585.3773 - val_mean_squared_error: 1585.3773\n", - "Epoch 92/100\n", - "2/2 [==============================] - 0s 27ms/step - loss: 6146.3804 - mean_squared_error: 6146.3804 - val_loss: 1582.2845 - val_mean_squared_error: 1582.2845\n", - "Epoch 93/100\n", - "2/2 [==============================] - 0s 27ms/step - loss: 6153.8364 - mean_squared_error: 6153.8364 - val_loss: 1587.2114 - val_mean_squared_error: 1587.2114\n", - "Epoch 94/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 6147.7842 - mean_squared_error: 6147.7842 - val_loss: 1587.5540 - val_mean_squared_error: 1587.5540\n", - "Epoch 95/100\n", - "2/2 [==============================] - 0s 26ms/step - loss: 6150.6592 - mean_squared_error: 6150.6592 - val_loss: 1605.6853 - val_mean_squared_error: 1605.6853\n", - "Epoch 96/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 6159.0498 - mean_squared_error: 6159.0498 - val_loss: 1602.2900 - val_mean_squared_error: 1602.2900\n", - "Epoch 97/100\n", - "2/2 [==============================] - 0s 25ms/step - loss: 6156.9004 - mean_squared_error: 6156.9004 - val_loss: 1607.2891 - val_mean_squared_error: 1607.2891\n", - "Epoch 98/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 6164.1572 - mean_squared_error: 6164.1572 - val_loss: 1586.4473 - val_mean_squared_error: 1586.4473\n", - "Epoch 99/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 6147.0664 - mean_squared_error: 6147.0664 - val_loss: 1583.5127 - val_mean_squared_error: 1583.5127\n", - "Epoch 100/100\n", - "2/2 [==============================] - 0s 24ms/step - loss: 6146.3252 - mean_squared_error: 6146.3252 - val_loss: 1583.6602 - val_mean_squared_error: 1583.6602\n", - "Model: \"sequential_11\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense_41 (Dense) (None, 5) 30 \n", - " \n", - " dense_42 (Dense) (None, 5) 30 \n", - " \n", - " dense_43 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 66\n", - "Trainable params: 66\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "\n", - "# def build_model(normalizer):\n", - "model = keras.Sequential([\n", - " layers.Dense(5,activation='relu', input_shape=[5]),\n", - " layers.Dense(5,activation='relu'),\n", - " layers.Dense(1,activation='relu')\n", - "])\n", - "\n", - "model.compile(loss='mse', optimizer=tf.keras.optimizers.SGD(0.001), metrics=[tf.keras.metrics.MeanSquaredError()])\n", - "\n", - "history = model.fit(\n", - " X_train,\n", - " y_train,\n", - " validation_split=0.2,\n", - " epochs=100)\n", - "\n", - "model.summary()\n", - "\n", - "# Your code here\n", - "# history.history" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jmeP6vt3z0oA" - }, - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "id": "RQTNqPHm0mOi" - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Your code here\n", - "\n", - "# def plot_loss(history):\n", - "plt.figure(figsize=(12,6))\n", - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label='val_loss')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Error')\n", - "plt.legend()\n", - "plt.grid(True)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IVrR_vXA7kOt" - }, - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1/1 [==============================] - 0s 23ms/step\n" - ] - } - ], - "source": [ - "pred = model.predict(X_test)" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "id": "-lOHpD8-7ggm" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MSE: 3248.56784873353\n", - "Accuracy: 0.6806142554740351\n" - ] - } - ], - "source": [ - "# Insert the function for R2 Score\n", - "\n", - "from sklearn.metrics import r2_score\n", - "\n", - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " y2 = np.array([[item] for item in y_true])\n", - " return np.sum(np.square(y2-y_pred))/y_true.size\n", - "\n", - "# score = r2_score(y_test,pred)\n", - "# score\n", - "\n", - "mse = mean_squared_error(y_test,pred) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,pred) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "CHqzF1OU0pBg" - }, - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jF8oTUqq0y0g" - }, - "source": [ - "Your text here" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [], - "source": [ - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "figure, axis = plt.subplots(1,5, figsize=(30,6))\n", - "for i in range(5):\n", - " axis[i].scatter(X[:,i],y)\n", - " m, b = np.polyfit(X[:,i], y, 1)\n", - "# axis[i].plot(X[:,i],m*X[:,i]+b, color = \"red\")\n", - " axis[i].set(ylabel = \"X[{}]\".format(i))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/60\n", - "200/200 [==============================] - 1s 3ms/step - loss: 13480.9385 - mean_squared_error: 13480.9385 - val_loss: 13856.3623 - val_mean_squared_error: 13856.3623\n", - "Epoch 2/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 12880.9014 - mean_squared_error: 12880.9014 - val_loss: 12925.0146 - val_mean_squared_error: 12925.0146\n", - "Epoch 3/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 11811.8516 - mean_squared_error: 11811.8516 - val_loss: 11753.6865 - val_mean_squared_error: 11753.6865\n", - "Epoch 4/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 10661.5215 - mean_squared_error: 10661.5215 - val_loss: 10468.7549 - val_mean_squared_error: 10468.7549\n", - "Epoch 5/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 9650.4258 - mean_squared_error: 9650.4258 - val_loss: 9291.5820 - val_mean_squared_error: 9291.5820\n", - "Epoch 6/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 8812.5693 - mean_squared_error: 8812.5693 - val_loss: 8418.6689 - val_mean_squared_error: 8418.6689\n", - "Epoch 7/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 8213.1719 - mean_squared_error: 8213.1719 - val_loss: 7845.9888 - val_mean_squared_error: 7845.9888\n", - "Epoch 8/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7805.0796 - mean_squared_error: 7805.0796 - val_loss: 7414.7612 - val_mean_squared_error: 7414.7612\n", - "Epoch 9/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7524.7168 - mean_squared_error: 7524.7168 - val_loss: 7162.1201 - val_mean_squared_error: 7162.1201\n", - "Epoch 10/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7338.6504 - mean_squared_error: 7338.6504 - val_loss: 7006.8550 - val_mean_squared_error: 7006.8550\n", - "Epoch 11/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7216.0352 - mean_squared_error: 7216.0352 - val_loss: 6934.6191 - val_mean_squared_error: 6934.6191\n", - "Epoch 12/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7203.5020 - mean_squared_error: 7203.5020 - val_loss: 6897.7681 - val_mean_squared_error: 6897.7681\n", - "Epoch 13/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7228.1836 - mean_squared_error: 7228.1836 - val_loss: 6891.0298 - val_mean_squared_error: 6891.0298\n", - "Epoch 14/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7219.9663 - mean_squared_error: 7219.9663 - val_loss: 6882.5420 - val_mean_squared_error: 6882.5420\n", - "Epoch 15/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7180.2905 - mean_squared_error: 7180.2905 - val_loss: 6877.6226 - val_mean_squared_error: 6877.6226\n", - "Epoch 16/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7171.1533 - mean_squared_error: 7171.1533 - val_loss: 6874.9448 - val_mean_squared_error: 6874.9448\n", - "Epoch 17/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7130.7896 - mean_squared_error: 7130.7896 - val_loss: 6875.9082 - val_mean_squared_error: 6875.9082\n", - "Epoch 18/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7149.8086 - mean_squared_error: 7149.8086 - val_loss: 6873.5908 - val_mean_squared_error: 6873.5908\n", - "Epoch 19/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7165.4502 - mean_squared_error: 7165.4502 - val_loss: 6874.5464 - val_mean_squared_error: 6874.5464\n", - "Epoch 20/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7153.8613 - mean_squared_error: 7153.8613 - val_loss: 6874.7583 - val_mean_squared_error: 6874.7583\n", - "Epoch 21/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7160.4302 - mean_squared_error: 7160.4302 - val_loss: 6875.3477 - val_mean_squared_error: 6875.3477\n", - "Epoch 22/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7198.4805 - mean_squared_error: 7198.4805 - val_loss: 6874.5107 - val_mean_squared_error: 6874.5107\n", - "Epoch 23/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7153.8955 - mean_squared_error: 7153.8955 - val_loss: 6873.6992 - val_mean_squared_error: 6873.6992\n", - "Epoch 24/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7156.2275 - mean_squared_error: 7156.2275 - val_loss: 6875.9448 - val_mean_squared_error: 6875.9448\n", - "Epoch 25/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7139.9370 - mean_squared_error: 7139.9370 - val_loss: 6875.1860 - val_mean_squared_error: 6875.1860\n", - "Epoch 26/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7209.3579 - mean_squared_error: 7209.3579 - val_loss: 6876.3970 - val_mean_squared_error: 6876.3970\n", - "Epoch 27/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7149.1646 - mean_squared_error: 7149.1646 - val_loss: 6872.9717 - val_mean_squared_error: 6872.9717\n", - "Epoch 28/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7181.8086 - mean_squared_error: 7181.8086 - val_loss: 6873.4561 - val_mean_squared_error: 6873.4561\n", - "Epoch 29/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7152.5308 - mean_squared_error: 7152.5308 - val_loss: 6875.2061 - val_mean_squared_error: 6875.2061\n", - "Epoch 30/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7168.3945 - mean_squared_error: 7168.3945 - val_loss: 6876.7520 - val_mean_squared_error: 6876.7520\n", - "Epoch 31/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7149.8105 - mean_squared_error: 7149.8105 - val_loss: 6874.2500 - val_mean_squared_error: 6874.2500\n", - "Epoch 32/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7086.4150 - mean_squared_error: 7086.4150 - val_loss: 6873.6157 - val_mean_squared_error: 6873.6157\n", - "Epoch 33/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7109.3931 - mean_squared_error: 7109.3931 - val_loss: 6872.4023 - val_mean_squared_error: 6872.4023\n", - "Epoch 34/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7123.7036 - mean_squared_error: 7123.7036 - val_loss: 6873.9492 - val_mean_squared_error: 6873.9492\n", - "Epoch 35/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7115.2139 - mean_squared_error: 7115.2139 - val_loss: 6872.6938 - val_mean_squared_error: 6872.6938\n", - "Epoch 36/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7150.9360 - mean_squared_error: 7150.9360 - val_loss: 6876.7837 - val_mean_squared_error: 6876.7837\n", - "Epoch 37/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7115.2495 - mean_squared_error: 7115.2495 - val_loss: 6877.4194 - val_mean_squared_error: 6877.4194\n", - "Epoch 38/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7134.8223 - mean_squared_error: 7134.8223 - val_loss: 6875.9136 - val_mean_squared_error: 6875.9136\n", - "Epoch 39/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7162.8701 - mean_squared_error: 7162.8701 - val_loss: 6872.7632 - val_mean_squared_error: 6872.7632\n", - "Epoch 40/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7166.5498 - mean_squared_error: 7166.5498 - val_loss: 6873.1333 - val_mean_squared_error: 6873.1333\n", - "Epoch 41/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7121.8950 - mean_squared_error: 7121.8950 - val_loss: 6873.5898 - val_mean_squared_error: 6873.5898\n", - "Epoch 42/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7122.0127 - mean_squared_error: 7122.0127 - val_loss: 6874.4819 - val_mean_squared_error: 6874.4819\n", - "Epoch 43/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7158.3569 - mean_squared_error: 7158.3569 - val_loss: 6875.5620 - val_mean_squared_error: 6875.5620\n", - "Epoch 44/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7129.7974 - mean_squared_error: 7129.7974 - val_loss: 6874.3438 - val_mean_squared_error: 6874.3438\n", - "Epoch 45/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7138.1226 - mean_squared_error: 7138.1226 - val_loss: 6877.3174 - val_mean_squared_error: 6877.3174\n", - "Epoch 46/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7150.7026 - mean_squared_error: 7150.7026 - val_loss: 6873.6270 - val_mean_squared_error: 6873.6270\n", - "Epoch 47/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7137.3057 - mean_squared_error: 7137.3057 - val_loss: 6874.8413 - val_mean_squared_error: 6874.8413\n", - "Epoch 48/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7138.5723 - mean_squared_error: 7138.5723 - val_loss: 6874.3867 - val_mean_squared_error: 6874.3867\n", - "Epoch 49/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7107.1187 - mean_squared_error: 7107.1187 - val_loss: 6873.9233 - val_mean_squared_error: 6873.9233\n", - "Epoch 50/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7159.4893 - mean_squared_error: 7159.4893 - val_loss: 6874.1206 - val_mean_squared_error: 6874.1206\n", - "Epoch 51/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7144.4839 - mean_squared_error: 7144.4839 - val_loss: 6873.7217 - val_mean_squared_error: 6873.7217\n", - "Epoch 52/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7179.0161 - mean_squared_error: 7179.0161 - val_loss: 6873.4976 - val_mean_squared_error: 6873.4976\n", - "Epoch 53/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7161.0386 - mean_squared_error: 7161.0386 - val_loss: 6876.5845 - val_mean_squared_error: 6876.5845\n", - "Epoch 54/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7137.7539 - mean_squared_error: 7137.7539 - val_loss: 6877.2598 - val_mean_squared_error: 6877.2598\n", - "Epoch 55/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7135.6587 - mean_squared_error: 7135.6587 - val_loss: 6876.3350 - val_mean_squared_error: 6876.3350\n", - "Epoch 56/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7124.2119 - mean_squared_error: 7124.2119 - val_loss: 6874.1743 - val_mean_squared_error: 6874.1743\n", - "Epoch 57/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7113.5786 - mean_squared_error: 7113.5786 - val_loss: 6873.7939 - val_mean_squared_error: 6873.7939\n", - "Epoch 58/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7154.4761 - mean_squared_error: 7154.4761 - val_loss: 6873.6655 - val_mean_squared_error: 6873.6655\n", - "Epoch 59/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7121.0356 - mean_squared_error: 7121.0356 - val_loss: 6875.0098 - val_mean_squared_error: 6875.0098\n", - "Epoch 60/60\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7195.2705 - mean_squared_error: 7195.2705 - val_loss: 6877.1963 - val_mean_squared_error: 6877.1963\n", - "Model: \"sequential_17\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense_59 (Dense) (None, 10) 60 \n", - " \n", - " batch_normalization_5 (Batc (None, 10) 40 \n", - " hNormalization) \n", - " \n", - " dense_60 (Dense) (None, 1) 11 \n", - " \n", - "=================================================================\n", - "Total params: 111\n", - "Trainable params: 91\n", - "Non-trainable params: 20\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "# Your code here\n", - "\n", - "\n", - "\n", - "model2 = keras.Sequential([\n", - " layers.Dense(10,activation='relu', input_shape=[5]),\n", - " layers.BatchNormalization(),\n", - " # layers.Dense(5, activation='relu'),\n", - " # layers.Dense(5, activation='relu'),\n", - " layers.Dense(1,activation='relu')\n", - "])\n", - "\n", - "model2.compile(loss='mse', optimizer='adam', metrics=[tf.keras.metrics.MeanSquaredError()])\n", - "\n", - "history2 = model2.fit(\n", - " X_train,\n", - " y_train,\n", - " validation_split=0.2,\n", - " epochs=60,\n", - " verbose=1)\n", - "\n", - "model2.summary()" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(12,6))\n", - "plt.plot(history2.history['loss'], label='loss')\n", - "plt.plot(history2.history['val_loss'], label='val_loss')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Error')\n", - "plt.legend()\n", - "plt.grid(True)" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": { - "id": "aS0ROZa402Lo" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "63/63 [==============================] - 0s 1ms/step\n", - "MSE: 7091.710262866173\n", - "Accuracy: 0.49134205058868197\n" - ] - } - ], - "source": [ - "pred2 = model2.predict(X_test)\n", - "\n", - "# Insert the function for R2 Score\n", - "\n", - "from sklearn.metrics import r2_score\n", - "\n", - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " y2 = np.array([[item] for item in y_true])\n", - " return np.sum(np.square(y2-y_pred))/y_true.size\n", - "\n", - "mse = mean_squared_error(y_test,pred2) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test,pred2) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "A2_200244", - "provenance": [] - }, - "interpreter": { - "hash": "26de051ba29f2982a8de78e945f0abaf191376122a1563185a90213a26c5da77" - }, - "kernelspec": { - "display_name": "Python 3.10.0 64-bit", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.0" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/Assignment 2/A2_200526.ipynb b/Assignment 2/A2_200526.ipynb deleted file mode 100644 index 2ee93cd..0000000 --- a/Assignment 2/A2_200526.ipynb +++ /dev/null @@ -1,1136 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A2_200526.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 326, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=1)" - ] - }, - { - "cell_type": "code", - "source": [ - "print(X.shape) #number of features is 5" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "SOSJpwAabA9J", - "outputId": "866c68e7-d110-4f54-c22b-1da61537cdec" - }, - "execution_count": 327, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(100, 5)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.scatter(X[:,0],y)\n", - "# Your code here" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "01748ffa-4466-42dd-d54e-3b9f2e66869f" - }, - "execution_count": 328, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 328 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "\n", - "# importing the sequential model\n", - "# A Sequential model is appropriate for a plain stack of layers where each layer has exactly one input tensor and one output tensor.\n", - "from tensorflow.keras import Sequential\n", - "from tensorflow.keras import Model\n", - "from tensorflow.keras.layers import Dense\n", - "\n", - "# importing the sequential model and adding dense layers\n", - "model = Sequential()\n", - "\n", - "# kernel_regularizer: Regularizer to apply a penalty on the layer's kernel\n", - "# Regularization basically adds the penalty as model complexity increases.\n", - "# Regularization parameter (lambda) penalizes all the parameters except intercept so that model generalizes the data and won’t overfit\n", - "model.add(Dense(5, activation='relu', input_shape=(5,), kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))#Adding regularization\n", - "model.add(Dense(5, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))#Adding regularization\n", - "model.add(Dense(1, kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))\n", - "\n", - "# Summary of our model\n", - "model.summary()\n", - "# class SGD: Gradient descent (with momentum) optimizer.\n", - "opt = tf.keras.optimizers.SGD(learning_rate=0.001) #Used Stochastic gradient descent with a learning rate of 0.001\n", - "# List of metrics to be evaluated by the model during training and testing. \n", - "# Each of this can be a string (name of a built-in function), function or a tf.keras.metrics.\n", - "model.compile(optimizer=opt,\n", - " loss='mse',\n", - " metrics=['mse'])\n", - "\n", - "#Keras provides the capability to register callbacks when training a deep learning model.\n", - "#One of the default callbacks that is registered when training all deep learning models is the History callback. \n", - "#It records training metrics for each epoch. This includes the loss and the accuracy (for classification problems) as well as the loss and accuracy for the validation dataset, if one is set.\n", - "#The history object is returned from calls to the fit() function used to train the model. Metrics are stored in a dictionary in the history member of the object returned\n", - "# We now fit our model\n", - "history = model.fit(X_train, y_train, epochs=100, validation_data=(X_val, y_val),shuffle=True)\n", - "\n", - "# Calculating loss and Mean Squared Error\n", - "loss,mse = model.evaluate(X_test, y_test, verbose=1)\n", - "print('MSE: %.3f' % mse)\n" - ], - "metadata": { - "id": "r32N1xK2ziOs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "d4858654-c749-4d05-f2a0-f59140e5ebee" - }, - "execution_count": 333, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_72\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense_276 (Dense) (None, 5) 30 \n", - " \n", - " dense_277 (Dense) (None, 5) 30 \n", - " \n", - " dense_278 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 66\n", - "Trainable params: 66\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "Epoch 1/100\n", - "2/2 [==============================] - 1s 211ms/step - loss: 11418.4863 - mse: 11416.1514 - val_loss: 11797.5723 - val_mse: 11795.2266\n", - "Epoch 2/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 11381.4902 - mse: 11379.1396 - val_loss: 11764.4346 - val_mse: 11762.0537\n", - "Epoch 3/100\n", - "2/2 [==============================] - 0s 40ms/step - loss: 11319.5342 - mse: 11317.1299 - val_loss: 11701.9160 - val_mse: 11699.4424\n", - "Epoch 4/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 11193.3789 - mse: 11190.8477 - val_loss: 11538.7178 - val_mse: 11536.0410\n", - "Epoch 5/100\n", - "2/2 [==============================] - 0s 37ms/step - loss: 10837.9756 - mse: 10835.2168 - val_loss: 11054.7256 - val_mse: 11051.6855\n", - "Epoch 6/100\n", - "2/2 [==============================] - 0s 39ms/step - loss: 9768.2500 - mse: 9765.0059 - val_loss: 9452.3984 - val_mse: 9448.6250\n", - "Epoch 7/100\n", - "2/2 [==============================] - 0s 46ms/step - loss: 7204.6885 - mse: 7200.7031 - val_loss: 7531.0308 - val_mse: 7526.3203\n", - "Epoch 8/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 6138.2852 - mse: 6133.5791 - val_loss: 7015.1108 - val_mse: 7010.1724\n", - "Epoch 9/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 5675.4155 - mse: 5670.4131 - val_loss: 6443.2871 - val_mse: 6437.9004\n", - "Epoch 10/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4924.8374 - mse: 4919.3262 - val_loss: 4873.3057 - val_mse: 4867.3457\n", - "Epoch 11/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 2901.7639 - mse: 2895.6304 - val_loss: 1563.1340 - val_mse: 1556.4912\n", - "Epoch 12/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 1196.4558 - mse: 1189.7477 - val_loss: 2004.8619 - val_mse: 1998.1603\n", - "Epoch 13/100\n", - "2/2 [==============================] - 0s 54ms/step - loss: 1184.0326 - mse: 1177.4739 - val_loss: 430.9583 - val_mse: 423.9537\n", - "Epoch 14/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 455.3690 - mse: 448.5584 - val_loss: 456.4833 - val_mse: 449.7288\n", - "Epoch 15/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 250.1012 - mse: 243.2438 - val_loss: 248.5868 - val_mse: 241.4736\n", - "Epoch 16/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 393.8589 - mse: 386.7563 - val_loss: 433.7584 - val_mse: 426.7287\n", - "Epoch 17/100\n", - "2/2 [==============================] - 0s 36ms/step - loss: 395.0141 - mse: 388.0737 - val_loss: 201.4567 - val_mse: 194.3307\n", - "Epoch 18/100\n", - "2/2 [==============================] - 0s 36ms/step - loss: 169.5228 - mse: 162.4305 - val_loss: 237.4022 - val_mse: 230.0564\n", - "Epoch 19/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 384.4366 - mse: 377.2687 - val_loss: 251.0471 - val_mse: 243.8818\n", - "Epoch 20/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 251.6811 - mse: 244.5088 - val_loss: 234.2657 - val_mse: 227.0899\n", - "Epoch 21/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 193.9461 - mse: 186.7588 - val_loss: 193.9609 - val_mse: 186.6841\n", - "Epoch 22/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 168.8264 - mse: 161.6039 - val_loss: 131.7841 - val_mse: 124.4096\n", - "Epoch 23/100\n", - "2/2 [==============================] - 0s 36ms/step - loss: 112.2750 - mse: 104.9716 - val_loss: 123.3595 - val_mse: 116.0363\n", - "Epoch 24/100\n", - "2/2 [==============================] - 0s 36ms/step - loss: 83.0071 - mse: 75.6768 - val_loss: 156.8059 - val_mse: 149.4582\n", - "Epoch 25/100\n", - "2/2 [==============================] - 0s 27ms/step - loss: 148.3252 - mse: 140.9865 - val_loss: 239.3540 - val_mse: 231.9943\n", - "Epoch 26/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 132.0273 - mse: 124.6787 - val_loss: 108.1199 - val_mse: 100.6524\n", - "Epoch 27/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 107.8259 - mse: 100.4620 - val_loss: 103.5099 - val_mse: 96.1465\n", - "Epoch 28/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 76.6895 - mse: 69.2890 - val_loss: 131.4632 - val_mse: 124.0220\n", - "Epoch 29/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 71.6960 - mse: 64.2655 - val_loss: 74.7270 - val_mse: 67.2968\n", - "Epoch 30/100\n", - "2/2 [==============================] - 0s 26ms/step - loss: 52.5191 - mse: 45.0612 - val_loss: 89.9648 - val_mse: 82.5851\n", - "Epoch 31/100\n", - "2/2 [==============================] - 0s 26ms/step - loss: 47.8982 - mse: 40.4946 - val_loss: 85.8010 - val_mse: 78.2462\n", - "Epoch 32/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 153.8491 - mse: 146.4391 - val_loss: 139.7235 - val_mse: 132.0751\n", - "Epoch 33/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 157.7070 - mse: 150.2432 - val_loss: 102.4448 - val_mse: 94.8822\n", - "Epoch 34/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 61.2996 - mse: 53.8088 - val_loss: 64.4295 - val_mse: 56.8676\n", - "Epoch 35/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 81.1720 - mse: 73.6843 - val_loss: 71.4335 - val_mse: 63.7964\n", - "Epoch 36/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 65.1870 - mse: 57.6479 - val_loss: 53.2543 - val_mse: 45.6642\n", - "Epoch 37/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 68.4078 - mse: 60.8808 - val_loss: 59.5791 - val_mse: 52.0222\n", - "Epoch 38/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 146.7515 - mse: 139.2625 - val_loss: 64.9574 - val_mse: 57.4160\n", - "Epoch 39/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 74.6466 - mse: 67.1569 - val_loss: 52.7702 - val_mse: 45.1745\n", - "Epoch 40/100\n", - "2/2 [==============================] - 0s 36ms/step - loss: 113.0724 - mse: 105.5825 - val_loss: 43.5594 - val_mse: 35.9724\n", - "Epoch 41/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 40.0991 - mse: 32.5448 - val_loss: 40.5156 - val_mse: 32.9414\n", - "Epoch 42/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 31.6662 - mse: 24.1127 - val_loss: 42.3432 - val_mse: 34.7874\n", - "Epoch 43/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 30.1720 - mse: 22.6122 - val_loss: 37.1321 - val_mse: 29.5690\n", - "Epoch 44/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 30.1532 - mse: 22.5930 - val_loss: 41.0939 - val_mse: 33.5480\n", - "Epoch 45/100\n", - "2/2 [==============================] - 0s 36ms/step - loss: 30.3057 - mse: 22.7432 - val_loss: 36.4672 - val_mse: 28.8865\n", - "Epoch 46/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 33.3887 - mse: 25.8263 - val_loss: 37.3118 - val_mse: 29.7569\n", - "Epoch 47/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 29.5319 - mse: 21.9649 - val_loss: 32.6861 - val_mse: 25.0888\n", - "Epoch 48/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 46.6220 - mse: 39.0535 - val_loss: 70.5584 - val_mse: 62.9615\n", - "Epoch 49/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 82.8841 - mse: 75.2802 - val_loss: 128.8168 - val_mse: 121.2854\n", - "Epoch 50/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 104.0572 - mse: 96.4923 - val_loss: 68.8889 - val_mse: 61.3232\n", - "Epoch 51/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 59.8425 - mse: 52.3165 - val_loss: 47.0151 - val_mse: 39.4877\n", - "Epoch 52/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 39.9653 - mse: 32.4390 - val_loss: 34.6718 - val_mse: 27.0581\n", - "Epoch 53/100\n", - "2/2 [==============================] - 0s 39ms/step - loss: 43.9435 - mse: 36.3786 - val_loss: 43.3251 - val_mse: 35.7609\n", - "Epoch 54/100\n", - "2/2 [==============================] - 0s 40ms/step - loss: 46.1566 - mse: 38.5965 - val_loss: 54.2583 - val_mse: 46.6594\n", - "Epoch 55/100\n", - "2/2 [==============================] - 0s 39ms/step - loss: 42.6750 - mse: 35.1058 - val_loss: 41.3832 - val_mse: 33.7114\n", - "Epoch 56/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 44.8004 - mse: 37.2117 - val_loss: 38.7683 - val_mse: 31.1309\n", - "Epoch 57/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 69.2213 - mse: 61.6679 - val_loss: 54.0625 - val_mse: 46.4088\n", - "Epoch 58/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 75.9660 - mse: 68.3876 - val_loss: 60.2315 - val_mse: 52.5822\n", - "Epoch 59/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 82.0860 - mse: 74.5173 - val_loss: 45.2825 - val_mse: 37.6803\n", - "Epoch 60/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 77.4835 - mse: 69.9139 - val_loss: 56.7821 - val_mse: 49.1930\n", - "Epoch 61/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 81.4854 - mse: 73.8773 - val_loss: 59.6619 - val_mse: 52.1175\n", - "Epoch 62/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 108.6703 - mse: 101.0378 - val_loss: 39.9155 - val_mse: 32.2588\n", - "Epoch 63/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 62.6364 - mse: 55.0380 - val_loss: 52.9783 - val_mse: 45.4024\n", - "Epoch 64/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 63.7272 - mse: 56.1233 - val_loss: 45.7007 - val_mse: 38.0880\n", - "Epoch 65/100\n", - "2/2 [==============================] - 0s 39ms/step - loss: 62.2037 - mse: 54.6596 - val_loss: 54.3321 - val_mse: 46.7697\n", - "Epoch 66/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 32.8145 - mse: 25.2191 - val_loss: 37.8027 - val_mse: 30.2405\n", - "Epoch 67/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 33.8898 - mse: 26.2878 - val_loss: 31.8859 - val_mse: 24.3023\n", - "Epoch 68/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 26.9789 - mse: 19.3832 - val_loss: 28.1524 - val_mse: 20.5452\n", - "Epoch 69/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 27.4114 - mse: 19.8042 - val_loss: 42.9619 - val_mse: 35.3707\n", - "Epoch 70/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 28.1043 - mse: 20.5205 - val_loss: 35.2185 - val_mse: 27.5589\n", - "Epoch 71/100\n", - "2/2 [==============================] - 0s 36ms/step - loss: 63.9012 - mse: 56.3251 - val_loss: 44.2676 - val_mse: 36.6617\n", - "Epoch 72/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 34.4411 - mse: 26.8566 - val_loss: 29.6403 - val_mse: 22.0000\n", - "Epoch 73/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 34.7937 - mse: 27.2050 - val_loss: 31.5925 - val_mse: 23.9953\n", - "Epoch 74/100\n", - "2/2 [==============================] - 0s 27ms/step - loss: 30.6936 - mse: 23.0804 - val_loss: 59.2940 - val_mse: 51.7485\n", - "Epoch 75/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 30.0784 - mse: 22.5103 - val_loss: 34.3947 - val_mse: 26.7787\n", - "Epoch 76/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 31.8078 - mse: 24.1901 - val_loss: 40.0238 - val_mse: 32.4429\n", - "Epoch 77/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 28.7635 - mse: 21.1724 - val_loss: 32.0424 - val_mse: 24.4303\n", - "Epoch 78/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 25.8770 - mse: 18.2752 - val_loss: 26.6314 - val_mse: 19.0009\n", - "Epoch 79/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 26.9749 - mse: 19.3637 - val_loss: 32.3271 - val_mse: 24.7357\n", - "Epoch 80/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 37.2566 - mse: 29.6363 - val_loss: 75.8318 - val_mse: 68.2977\n", - "Epoch 81/100\n", - "2/2 [==============================] - 0s 26ms/step - loss: 33.9857 - mse: 26.4096 - val_loss: 28.4239 - val_mse: 20.8185\n", - "Epoch 82/100\n", - "2/2 [==============================] - 0s 27ms/step - loss: 29.9180 - mse: 22.3235 - val_loss: 42.6667 - val_mse: 34.9937\n", - "Epoch 83/100\n", - "2/2 [==============================] - 0s 27ms/step - loss: 46.6476 - mse: 39.0387 - val_loss: 36.6959 - val_mse: 29.0672\n", - "Epoch 84/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 30.1005 - mse: 22.4753 - val_loss: 38.1164 - val_mse: 30.5389\n", - "Epoch 85/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 29.7866 - mse: 22.1713 - val_loss: 33.4295 - val_mse: 25.8379\n", - "Epoch 86/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 33.0483 - mse: 25.4297 - val_loss: 32.7919 - val_mse: 25.1627\n", - "Epoch 87/100\n", - "2/2 [==============================] - 0s 26ms/step - loss: 50.3415 - mse: 42.7100 - val_loss: 29.4882 - val_mse: 21.8333\n", - "Epoch 88/100\n", - "2/2 [==============================] - 0s 36ms/step - loss: 40.8899 - mse: 33.2522 - val_loss: 29.2451 - val_mse: 21.6014\n", - "Epoch 89/100\n", - "2/2 [==============================] - 0s 27ms/step - loss: 36.7769 - mse: 29.1432 - val_loss: 34.9894 - val_mse: 27.3794\n", - "Epoch 90/100\n", - "2/2 [==============================] - 0s 26ms/step - loss: 32.2015 - mse: 24.5761 - val_loss: 35.8440 - val_mse: 28.2535\n", - "Epoch 91/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 27.4780 - mse: 19.8838 - val_loss: 33.7019 - val_mse: 26.0209\n", - "Epoch 92/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 43.7604 - mse: 36.1356 - val_loss: 53.3165 - val_mse: 45.6931\n", - "Epoch 93/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 32.9278 - mse: 25.3086 - val_loss: 38.9662 - val_mse: 31.3591\n", - "Epoch 94/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 27.7686 - mse: 20.1668 - val_loss: 34.6928 - val_mse: 27.0489\n", - "Epoch 95/100\n", - "2/2 [==============================] - 0s 39ms/step - loss: 27.8141 - mse: 20.1813 - val_loss: 37.5276 - val_mse: 29.9317\n", - "Epoch 96/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 29.9389 - mse: 22.3341 - val_loss: 37.2944 - val_mse: 29.6701\n", - "Epoch 97/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 26.4411 - mse: 18.8166 - val_loss: 32.3081 - val_mse: 24.6977\n", - "Epoch 98/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 27.2705 - mse: 19.6473 - val_loss: 31.9357 - val_mse: 24.3393\n", - "Epoch 99/100\n", - "2/2 [==============================] - 0s 26ms/step - loss: 26.6726 - mse: 19.0527 - val_loss: 30.4865 - val_mse: 22.8794\n", - "Epoch 100/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 25.9616 - mse: 18.3304 - val_loss: 40.2791 - val_mse: 32.6620\n", - "1/1 [==============================] - 0s 24ms/step - loss: 53.4749 - mse: 45.8578\n", - "MSE: 45.858\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Predicted value of our model\n", - "y_pred = model.predict(X_test)" - ], - "metadata": { - "id": "A51XjIhquAsV" - }, - "execution_count": 334, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "plt.figure(figsize=(10,10))\n", - "\n", - "# list all data in history\n", - "print(history.history.keys())\n", - "\n", - "loss_train = history.history['loss'] # training loss\n", - "loss_val = history.history['val_loss'] # validation loss\n", - "epochs = range(0,100) # since epochs=100\n", - "\n", - "#Plotting training loss and validation against epochs\n", - "plt.plot(epochs, loss_train, 'g', label='Training loss')\n", - "plt.plot(epochs, loss_val, 'b', label='validation loss')\n", - "\n", - "plt.title('Training and Validation loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.legend()\n", - "plt.show()" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 638 - }, - "outputId": "0c611652-2606-4db1-ee6d-ce1b1488aa4f" - }, - "execution_count": 335, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "dict_keys(['loss', 'mse', 'val_loss', 'val_mse'])\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "def mean_squared_error(y_true, y_pred):\n", - " return np.mean(np.square(y_true - y_pred))\n", - "\n", - "from sklearn.metrics import r2_score\n", - "\n", - "mse = mean_squared_error(y_test, y_pred) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test, y_pred) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "a1255f81-5034-45f5-cd9c-ae3ff612af9c" - }, - "execution_count": 336, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "MSE: 20035.846584531457\n", - "Accuracy: 0.9954914516463528\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "# Custom model\n", - "```\n", - "Input of shape 5\n", - "\n", - "Dense of shape 5\n", - "\n", - "Dense of shape 6\n", - "\n", - "Dense of shape 7\n", - "\n", - "Dense of shape 8\n", - "\n", - "Dense of shape 9\n", - "\n", - "Dense of shape 1\n", - "```" - ], - "metadata": { - "id": "2zB5klv-9_ol" - } - }, - { - "cell_type": "code", - "source": [ - "from tensorflow.keras import layers\n", - "from tensorflow import keras\n", - "\n", - "Model = keras.Sequential(\n", - " [\n", - " layers.Dense(5, activation=\"relu\",input_shape=(5,)),\n", - " layers.Dense(6, activation=\"relu\"),\n", - " layers.Dense(7, activation=\"relu\"),\n", - " layers.Dense(8, activation=\"relu\"),\n", - " layers.Dense(9, activation=\"relu\"),\n", - " layers.Dense(1),\n", - " ]\n", - ")\n", - "\n", - "Model.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "MVWK02bb_5tj", - "outputId": "2fef530d-0d1f-4014-fe7d-257f2d4c84a8" - }, - "execution_count": 337, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_73\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense_279 (Dense) (None, 5) 30 \n", - " \n", - " dense_280 (Dense) (None, 6) 36 \n", - " \n", - " dense_281 (Dense) (None, 7) 49 \n", - " \n", - " dense_282 (Dense) (None, 8) 64 \n", - " \n", - " dense_283 (Dense) (None, 9) 81 \n", - " \n", - " dense_284 (Dense) (None, 1) 10 \n", - " \n", - "=================================================================\n", - "Total params: 270\n", - "Trainable params: 270\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Used **Adam optimizer** and **Mean Squared Error Loss**\n", - "\n", - "`learning_rate=0.005`" - ], - "metadata": { - "id": "feWWXA3aHb8-" - } - }, - { - "cell_type": "code", - "source": [ - "opt = keras.optimizers.Adam(learning_rate=0.005)\n", - "Model.compile(optimizer=opt,\n", - " loss='mse',\n", - " metrics=['mse'])" - ], - "metadata": { - "id": "J1atOOeSCDt9" - }, - "execution_count": 338, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "#Model Fitting\n", - "\n", - " Evaluating the Mean Squared Error and the loss " - ], - "metadata": { - "id": "S31xCkUmIeph" - } - }, - { - "cell_type": "code", - "source": [ - "history = Model.fit(X_train, y_train, epochs=100, validation_data=(X_val, y_val),shuffle=True)\n", - "\n", - "# Calculating loss and Mean Squared Error\n", - "loss,mse = Model.evaluate(X_test, y_test, verbose=1)\n", - "print('MSE: %.3f' % mse)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "50ARzWD7BIQG", - "outputId": "d1740b8e-b04a-46fd-854b-f27744cf0e5b" - }, - "execution_count": 339, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/100\n", - "2/2 [==============================] - 1s 159ms/step - loss: 11427.6221 - mse: 11427.6221 - val_loss: 11826.8066 - val_mse: 11826.8066\n", - "Epoch 2/100\n", - "2/2 [==============================] - 0s 27ms/step - loss: 11425.1660 - mse: 11425.1660 - val_loss: 11826.4512 - val_mse: 11826.4512\n", - "Epoch 3/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 11421.2070 - mse: 11421.2070 - val_loss: 11826.6904 - val_mse: 11826.6904\n", - "Epoch 4/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 11417.7715 - mse: 11417.7715 - val_loss: 11824.8057 - val_mse: 11824.8057\n", - "Epoch 5/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 11412.4922 - mse: 11412.4922 - val_loss: 11824.1260 - val_mse: 11824.1260\n", - "Epoch 6/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 11407.2559 - mse: 11407.2559 - val_loss: 11822.7324 - val_mse: 11822.7324\n", - "Epoch 7/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 11400.3027 - mse: 11400.3027 - val_loss: 11820.8984 - val_mse: 11820.8984\n", - "Epoch 8/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 11392.5713 - mse: 11392.5713 - val_loss: 11818.4502 - val_mse: 11818.4502\n", - "Epoch 9/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 11380.6875 - mse: 11380.6875 - val_loss: 11814.3408 - val_mse: 11814.3408\n", - "Epoch 10/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 11368.0615 - mse: 11368.0615 - val_loss: 11806.5146 - val_mse: 11806.5146\n", - "Epoch 11/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 11352.5352 - mse: 11352.5352 - val_loss: 11795.9229 - val_mse: 11795.9229\n", - "Epoch 12/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 11331.5576 - mse: 11331.5576 - val_loss: 11779.6836 - val_mse: 11779.6836\n", - "Epoch 13/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 11306.4258 - mse: 11306.4258 - val_loss: 11756.3340 - val_mse: 11756.3340\n", - "Epoch 14/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 11275.2588 - mse: 11275.2588 - val_loss: 11726.7891 - val_mse: 11726.7891\n", - "Epoch 15/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 11235.5869 - mse: 11235.5869 - val_loss: 11687.4688 - val_mse: 11687.4688\n", - "Epoch 16/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 11191.7637 - mse: 11191.7637 - val_loss: 11643.2041 - val_mse: 11643.2041\n", - "Epoch 17/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 11131.1006 - mse: 11131.1006 - val_loss: 11584.2568 - val_mse: 11584.2568\n", - "Epoch 18/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 11061.1982 - mse: 11061.1982 - val_loss: 11517.0957 - val_mse: 11517.0957\n", - "Epoch 19/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 10980.4180 - mse: 10980.4180 - val_loss: 11434.0840 - val_mse: 11434.0840\n", - "Epoch 20/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 10872.0918 - mse: 10872.0918 - val_loss: 11334.4277 - val_mse: 11334.4277\n", - "Epoch 21/100\n", - "2/2 [==============================] - 0s 26ms/step - loss: 10742.9365 - mse: 10742.9365 - val_loss: 11210.0312 - val_mse: 11210.0312\n", - "Epoch 22/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 10599.7979 - mse: 10599.7979 - val_loss: 11057.8154 - val_mse: 11057.8154\n", - "Epoch 23/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 10409.5566 - mse: 10409.5566 - val_loss: 10877.9336 - val_mse: 10877.9336\n", - "Epoch 24/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 10199.8418 - mse: 10199.8418 - val_loss: 10665.2266 - val_mse: 10665.2266\n", - "Epoch 25/100\n", - "2/2 [==============================] - 0s 27ms/step - loss: 9936.9229 - mse: 9936.9229 - val_loss: 10407.0322 - val_mse: 10407.0322\n", - "Epoch 26/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 9658.6787 - mse: 9658.6787 - val_loss: 10101.6191 - val_mse: 10101.6191\n", - "Epoch 27/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 9290.3643 - mse: 9290.3643 - val_loss: 9751.7842 - val_mse: 9751.7842\n", - "Epoch 28/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 8922.1719 - mse: 8922.1719 - val_loss: 9352.0322 - val_mse: 9352.0322\n", - "Epoch 29/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 8469.6445 - mse: 8469.6445 - val_loss: 8891.9775 - val_mse: 8891.9775\n", - "Epoch 30/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 7963.9814 - mse: 7963.9814 - val_loss: 8377.5244 - val_mse: 8377.5244\n", - "Epoch 31/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 7450.6709 - mse: 7450.6709 - val_loss: 7821.2070 - val_mse: 7821.2070\n", - "Epoch 32/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 6952.2651 - mse: 6952.2651 - val_loss: 7247.1602 - val_mse: 7247.1602\n", - "Epoch 33/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6363.9619 - mse: 6363.9619 - val_loss: 6616.2236 - val_mse: 6616.2236\n", - "Epoch 34/100\n", - "2/2 [==============================] - 0s 40ms/step - loss: 5930.1753 - mse: 5930.1753 - val_loss: 5974.7832 - val_mse: 5974.7832\n", - "Epoch 35/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 5425.3872 - mse: 5425.3872 - val_loss: 5315.7134 - val_mse: 5315.7134\n", - "Epoch 36/100\n", - "2/2 [==============================] - 0s 58ms/step - loss: 5046.5732 - mse: 5046.5732 - val_loss: 4701.0107 - val_mse: 4701.0107\n", - "Epoch 37/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 4652.1777 - mse: 4652.1777 - val_loss: 4160.1240 - val_mse: 4160.1240\n", - "Epoch 38/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 4247.1016 - mse: 4247.1016 - val_loss: 3728.5425 - val_mse: 3728.5425\n", - "Epoch 39/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 3844.1511 - mse: 3844.1511 - val_loss: 3430.9639 - val_mse: 3430.9639\n", - "Epoch 40/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 3561.4614 - mse: 3561.4614 - val_loss: 3178.0229 - val_mse: 3178.0229\n", - "Epoch 41/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 3245.1211 - mse: 3245.1211 - val_loss: 2946.9412 - val_mse: 2946.9412\n", - "Epoch 42/100\n", - "2/2 [==============================] - 0s 27ms/step - loss: 2944.0000 - mse: 2944.0000 - val_loss: 2717.1165 - val_mse: 2717.1165\n", - "Epoch 43/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 2639.2734 - mse: 2639.2734 - val_loss: 2485.2793 - val_mse: 2485.2793\n", - "Epoch 44/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 2371.1079 - mse: 2371.1079 - val_loss: 2305.6162 - val_mse: 2305.6162\n", - "Epoch 45/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 2099.1260 - mse: 2099.1260 - val_loss: 2155.9658 - val_mse: 2155.9658\n", - "Epoch 46/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 1844.1104 - mse: 1844.1104 - val_loss: 2075.6841 - val_mse: 2075.6841\n", - "Epoch 47/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 1601.7657 - mse: 1601.7657 - val_loss: 2007.2303 - val_mse: 2007.2303\n", - "Epoch 48/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 1430.7605 - mse: 1430.7605 - val_loss: 1873.4553 - val_mse: 1873.4553\n", - "Epoch 49/100\n", - "2/2 [==============================] - 0s 36ms/step - loss: 1282.9199 - mse: 1282.9199 - val_loss: 1744.9751 - val_mse: 1744.9751\n", - "Epoch 50/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 1151.5432 - mse: 1151.5432 - val_loss: 1637.4865 - val_mse: 1637.4865\n", - "Epoch 51/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 1058.7981 - mse: 1058.7981 - val_loss: 1534.5305 - val_mse: 1534.5305\n", - "Epoch 52/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 1000.0366 - mse: 1000.0366 - val_loss: 1494.2034 - val_mse: 1494.2034\n", - "Epoch 53/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 938.5808 - mse: 938.5808 - val_loss: 1437.9701 - val_mse: 1437.9701\n", - "Epoch 54/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 886.9390 - mse: 886.9390 - val_loss: 1361.4518 - val_mse: 1361.4518\n", - "Epoch 55/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 833.4323 - mse: 833.4323 - val_loss: 1271.1262 - val_mse: 1271.1262\n", - "Epoch 56/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 786.8690 - mse: 786.8690 - val_loss: 1218.4502 - val_mse: 1218.4502\n", - "Epoch 57/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 743.7040 - mse: 743.7040 - val_loss: 1148.6993 - val_mse: 1148.6993\n", - "Epoch 58/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 711.2599 - mse: 711.2599 - val_loss: 1065.0968 - val_mse: 1065.0968\n", - "Epoch 59/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 678.9846 - mse: 678.9846 - val_loss: 981.6328 - val_mse: 981.6328\n", - "Epoch 60/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 652.9368 - mse: 652.9368 - val_loss: 863.3831 - val_mse: 863.3831\n", - "Epoch 61/100\n", - "2/2 [==============================] - 0s 50ms/step - loss: 621.1463 - mse: 621.1463 - val_loss: 831.8065 - val_mse: 831.8065\n", - "Epoch 62/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 586.3661 - mse: 586.3661 - val_loss: 762.5015 - val_mse: 762.5015\n", - "Epoch 63/100\n", - "2/2 [==============================] - 0s 27ms/step - loss: 571.3463 - mse: 571.3463 - val_loss: 674.2130 - val_mse: 674.2130\n", - "Epoch 64/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 541.3625 - mse: 541.3625 - val_loss: 655.6013 - val_mse: 655.6013\n", - "Epoch 65/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 517.7994 - mse: 517.7994 - val_loss: 626.0479 - val_mse: 626.0479\n", - "Epoch 66/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 499.6670 - mse: 499.6670 - val_loss: 621.8913 - val_mse: 621.8913\n", - "Epoch 67/100\n", - "2/2 [==============================] - 0s 27ms/step - loss: 480.0826 - mse: 480.0826 - val_loss: 575.8791 - val_mse: 575.8791\n", - "Epoch 68/100\n", - "2/2 [==============================] - 0s 37ms/step - loss: 466.3652 - mse: 466.3652 - val_loss: 557.4099 - val_mse: 557.4099\n", - "Epoch 69/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 456.1577 - mse: 456.1577 - val_loss: 547.2971 - val_mse: 547.2971\n", - "Epoch 70/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 440.4045 - mse: 440.4045 - val_loss: 531.0605 - val_mse: 531.0605\n", - "Epoch 71/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 426.7056 - mse: 426.7056 - val_loss: 518.6238 - val_mse: 518.6238\n", - "Epoch 72/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 417.1322 - mse: 417.1322 - val_loss: 512.4182 - val_mse: 512.4182\n", - "Epoch 73/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 419.5732 - mse: 419.5732 - val_loss: 484.2965 - val_mse: 484.2965\n", - "Epoch 74/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 390.6739 - mse: 390.6739 - val_loss: 493.0372 - val_mse: 493.0372\n", - "Epoch 75/100\n", - "2/2 [==============================] - 0s 36ms/step - loss: 387.9776 - mse: 387.9776 - val_loss: 494.2258 - val_mse: 494.2258\n", - "Epoch 76/100\n", - "2/2 [==============================] - 0s 53ms/step - loss: 373.6021 - mse: 373.6021 - val_loss: 469.4347 - val_mse: 469.4347\n", - "Epoch 77/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 361.4257 - mse: 361.4257 - val_loss: 455.1640 - val_mse: 455.1640\n", - "Epoch 78/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 354.4913 - mse: 354.4913 - val_loss: 458.4984 - val_mse: 458.4984\n", - "Epoch 79/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 340.6790 - mse: 340.6790 - val_loss: 454.9095 - val_mse: 454.9095\n", - "Epoch 80/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 333.8256 - mse: 333.8256 - val_loss: 446.0440 - val_mse: 446.0440\n", - "Epoch 81/100\n", - "2/2 [==============================] - 0s 36ms/step - loss: 335.3815 - mse: 335.3815 - val_loss: 431.2281 - val_mse: 431.2281\n", - "Epoch 82/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 316.9374 - mse: 316.9374 - val_loss: 432.9009 - val_mse: 432.9009\n", - "Epoch 83/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 309.5587 - mse: 309.5587 - val_loss: 430.1270 - val_mse: 430.1270\n", - "Epoch 84/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 302.8607 - mse: 302.8607 - val_loss: 425.5235 - val_mse: 425.5235\n", - "Epoch 85/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 306.2922 - mse: 306.2922 - val_loss: 413.6851 - val_mse: 413.6851\n", - "Epoch 86/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 298.5685 - mse: 298.5685 - val_loss: 415.8441 - val_mse: 415.8441\n", - "Epoch 87/100\n", - "2/2 [==============================] - 0s 32ms/step - loss: 285.2379 - mse: 285.2379 - val_loss: 411.2028 - val_mse: 411.2028\n", - "Epoch 88/100\n", - "2/2 [==============================] - 0s 33ms/step - loss: 274.5176 - mse: 274.5176 - val_loss: 403.0289 - val_mse: 403.0289\n", - "Epoch 89/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 268.5383 - mse: 268.5383 - val_loss: 400.3427 - val_mse: 400.3427\n", - "Epoch 90/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 264.4914 - mse: 264.4914 - val_loss: 395.9077 - val_mse: 395.9077\n", - "Epoch 91/100\n", - "2/2 [==============================] - 0s 53ms/step - loss: 257.8169 - mse: 257.8169 - val_loss: 392.1808 - val_mse: 392.1808\n", - "Epoch 92/100\n", - "2/2 [==============================] - 0s 59ms/step - loss: 254.5001 - mse: 254.5001 - val_loss: 386.7127 - val_mse: 386.7127\n", - "Epoch 93/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 246.3999 - mse: 246.3999 - val_loss: 382.8686 - val_mse: 382.8686\n", - "Epoch 94/100\n", - "2/2 [==============================] - 0s 37ms/step - loss: 245.9751 - mse: 245.9751 - val_loss: 377.1136 - val_mse: 377.1136\n", - "Epoch 95/100\n", - "2/2 [==============================] - 0s 42ms/step - loss: 236.7425 - mse: 236.7425 - val_loss: 378.0335 - val_mse: 378.0335\n", - "Epoch 96/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 233.4299 - mse: 233.4299 - val_loss: 376.2889 - val_mse: 376.2889\n", - "Epoch 97/100\n", - "2/2 [==============================] - 0s 39ms/step - loss: 227.0180 - mse: 227.0180 - val_loss: 371.7325 - val_mse: 371.7325\n", - "Epoch 98/100\n", - "2/2 [==============================] - 0s 45ms/step - loss: 224.4904 - mse: 224.4904 - val_loss: 369.9965 - val_mse: 369.9965\n", - "Epoch 99/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 220.6570 - mse: 220.6570 - val_loss: 370.7662 - val_mse: 370.7662\n", - "Epoch 100/100\n", - "2/2 [==============================] - 0s 35ms/step - loss: 216.3112 - mse: 216.3112 - val_loss: 378.1454 - val_mse: 378.1454\n", - "1/1 [==============================] - 0s 29ms/step - loss: 746.9486 - mse: 746.9486\n", - "MSE: 746.949\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Predicted value of our model\n", - "y_pred = Model.predict(X_test)" - ], - "metadata": { - "id": "ab43eJ3XDrQO" - }, - "execution_count": 340, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "#Plotting Loss" - ], - "metadata": { - "id": "zUR8xRWIJuFp" - } - }, - { - "cell_type": "code", - "source": [ - "plt.figure(figsize=(9,9))\n", - "\n", - "# list all data in history\n", - "print(history.history.keys())\n", - "\n", - "loss_train = history.history['loss'] # training loss\n", - "loss_val = history.history['val_loss'] # validation loss\n", - "epochs = range(0,100) # since epochs=100\n", - "\n", - "#Plotting training loss and validation against epochs\n", - "plt.plot(epochs, loss_train, 'g', label='Training loss')\n", - "plt.plot(epochs, loss_val, 'b', label='validation loss')\n", - "\n", - "plt.title('Training and Validation loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.legend()\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 584 - }, - "id": "yqXQt2KTD2pG", - "outputId": "97e78d71-38f7-4f34-e1f9-98ef9335d118" - }, - "execution_count": 341, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "dict_keys(['loss', 'mse', 'val_loss', 'val_mse'])\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_200537.ipynb b/Assignment 2/A2_200537.ipynb deleted file mode 100644 index 96dd729..0000000 --- a/Assignment 2/A2_200537.ipynb +++ /dev/null @@ -1,968 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A2_200537.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=1)\n" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "# Your code here\n", - "\n", - "for i in range(1,5):\n", - " plt.scatter(X[:,1-i],y)\n" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "4c23907a-0285-45c4-c111-6cf067b4939b" - }, - "execution_count": 19, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "\n", - "# Your code here\n", - "from tensorflow.keras.layers import Input\n", - "from tensorflow.keras import Model\n", - "from tensorflow.keras import Sequential\n", - "from tensorflow.keras.layers import Dense\n", - "from tensorflow.keras.layers import Activation\n", - "\n", - "model = Sequential()\n", - "model.add(Dense(5, activation='relu', input_shape=(5,), kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))\n", - "model.add(Dense(5, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))\n", - "model.add(Dense(1, kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))\n", - "\n", - "model.summary()\n" - ], - "metadata": { - "id": "r32N1xK2ziOs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "0c0ddd57-7b54-425d-95f9-ac54147c9dc2" - }, - "execution_count": 20, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_4\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense_12 (Dense) (None, 5) 30 \n", - " \n", - " dense_13 (Dense) (None, 5) 30 \n", - " \n", - " dense_14 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 66\n", - "Trainable params: 66\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "opt = tf.keras.optimizers.SGD(learning_rate=0.001)\n", - "model.compile(optimizer=opt,loss='mse',metrics=['mse'])\n", - "\n", - "history = model.fit(X_train, y_train,epochs=95,validation_data = (X_val, y_val))\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "6h1jSKiztVv_", - "outputId": "68457f88-8048-4fd8-d33d-1a949dc3d5b7" - }, - "execution_count": 24, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/95\n", - "2/2 [==============================] - 1s 224ms/step - loss: 11445.3506 - mse: 11443.0117 - val_loss: 11751.5928 - val_mse: 11749.2617\n", - "Epoch 2/95\n", - "2/2 [==============================] - 0s 25ms/step - loss: 11388.5547 - mse: 11386.2109 - val_loss: 11676.2852 - val_mse: 11673.9004\n", - "Epoch 3/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 11312.9395 - mse: 11310.5254 - val_loss: 11543.0605 - val_mse: 11540.5566\n", - "Epoch 4/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 11171.5371 - mse: 11168.9863 - val_loss: 11249.1045 - val_mse: 11246.3613\n", - "Epoch 5/95\n", - "2/2 [==============================] - 0s 37ms/step - loss: 10828.3564 - mse: 10825.5156 - val_loss: 10504.0205 - val_mse: 10500.8379\n", - "Epoch 6/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 9788.3818 - mse: 9785.0439 - val_loss: 8203.6611 - val_mse: 8199.5762\n", - "Epoch 7/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 6859.7881 - mse: 6855.3271 - val_loss: 3277.5273 - val_mse: 3271.9292\n", - "Epoch 8/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 1905.1204 - mse: 1899.0813 - val_loss: 1462.0841 - val_mse: 1455.0677\n", - "Epoch 9/95\n", - "2/2 [==============================] - 0s 50ms/step - loss: 1570.6221 - mse: 1563.8430 - val_loss: 1293.4424 - val_mse: 1286.8306\n", - "Epoch 10/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 552.1232 - mse: 545.3245 - val_loss: 356.2802 - val_mse: 349.4565\n", - "Epoch 11/95\n", - "2/2 [==============================] - 0s 26ms/step - loss: 269.0609 - mse: 262.0952 - val_loss: 342.9100 - val_mse: 336.0621\n", - "Epoch 12/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 238.4305 - mse: 231.4429 - val_loss: 280.2965 - val_mse: 273.3500\n", - "Epoch 13/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 291.7264 - mse: 284.6765 - val_loss: 526.9612 - val_mse: 520.0465\n", - "Epoch 14/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 1162.9539 - mse: 1155.8962 - val_loss: 2433.0210 - val_mse: 2426.5725\n", - "Epoch 15/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 1241.0713 - mse: 1234.4658 - val_loss: 463.3801 - val_mse: 456.0370\n", - "Epoch 16/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 451.9839 - mse: 444.7234 - val_loss: 782.6995 - val_mse: 775.2946\n", - "Epoch 17/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 841.8239 - mse: 834.5342 - val_loss: 600.0387 - val_mse: 592.8920\n", - "Epoch 18/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 476.6931 - mse: 469.3985 - val_loss: 226.0948 - val_mse: 218.8207\n", - "Epoch 19/95\n", - "2/2 [==============================] - 0s 35ms/step - loss: 167.6739 - mse: 160.3227 - val_loss: 328.2549 - val_mse: 320.7343\n", - "Epoch 20/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 230.8028 - mse: 223.3934 - val_loss: 342.3618 - val_mse: 334.7542\n", - "Epoch 21/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 250.3768 - mse: 242.9408 - val_loss: 223.0818 - val_mse: 215.6438\n", - "Epoch 22/95\n", - "2/2 [==============================] - 0s 25ms/step - loss: 140.7116 - mse: 133.2605 - val_loss: 224.5720 - val_mse: 216.8740\n", - "Epoch 23/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 165.4846 - mse: 157.9150 - val_loss: 184.6354 - val_mse: 177.0224\n", - "Epoch 24/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 226.6035 - mse: 218.9915 - val_loss: 293.7636 - val_mse: 286.0834\n", - "Epoch 25/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 213.7111 - mse: 206.1077 - val_loss: 238.7178 - val_mse: 230.9396\n", - "Epoch 26/95\n", - "2/2 [==============================] - 0s 39ms/step - loss: 270.3688 - mse: 262.6675 - val_loss: 344.7960 - val_mse: 337.0027\n", - "Epoch 27/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 317.2616 - mse: 309.5304 - val_loss: 441.0321 - val_mse: 433.1375\n", - "Epoch 28/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 361.6331 - mse: 353.9205 - val_loss: 287.1340 - val_mse: 279.1777\n", - "Epoch 29/95\n", - "2/2 [==============================] - 0s 35ms/step - loss: 200.4810 - mse: 192.6652 - val_loss: 258.2727 - val_mse: 250.2918\n", - "Epoch 30/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 282.4129 - mse: 274.6664 - val_loss: 119.1537 - val_mse: 111.3006\n", - "Epoch 31/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 54.6420 - mse: 46.7987 - val_loss: 109.2017 - val_mse: 101.2852\n", - "Epoch 32/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 125.5185 - mse: 117.6665 - val_loss: 99.1956 - val_mse: 91.3008\n", - "Epoch 33/95\n", - "2/2 [==============================] - 0s 26ms/step - loss: 85.0719 - mse: 77.1871 - val_loss: 97.5748 - val_mse: 89.7542\n", - "Epoch 34/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 58.7805 - mse: 50.9431 - val_loss: 80.0499 - val_mse: 72.0513\n", - "Epoch 35/95\n", - "2/2 [==============================] - 0s 26ms/step - loss: 49.9100 - mse: 41.9617 - val_loss: 86.1823 - val_mse: 78.2023\n", - "Epoch 36/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 44.4728 - mse: 36.5244 - val_loss: 63.7547 - val_mse: 55.7360\n", - "Epoch 37/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 41.6102 - mse: 33.6294 - val_loss: 70.7809 - val_mse: 62.8337\n", - "Epoch 38/95\n", - "2/2 [==============================] - 0s 36ms/step - loss: 34.9957 - mse: 27.0233 - val_loss: 63.5221 - val_mse: 55.5739\n", - "Epoch 39/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 33.4156 - mse: 25.4475 - val_loss: 66.9104 - val_mse: 58.9336\n", - "Epoch 40/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 39.2205 - mse: 31.2402 - val_loss: 72.0073 - val_mse: 64.0748\n", - "Epoch 41/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 40.8713 - mse: 32.8903 - val_loss: 77.6775 - val_mse: 69.7538\n", - "Epoch 42/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 38.6144 - mse: 30.6335 - val_loss: 63.6087 - val_mse: 55.6536\n", - "Epoch 43/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 34.2326 - mse: 26.2591 - val_loss: 61.4039 - val_mse: 53.3879\n", - "Epoch 44/95\n", - "2/2 [==============================] - 0s 37ms/step - loss: 43.5421 - mse: 35.5621 - val_loss: 59.2462 - val_mse: 51.1895\n", - "Epoch 45/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 50.5838 - mse: 42.5943 - val_loss: 78.1214 - val_mse: 69.9911\n", - "Epoch 46/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 47.8971 - mse: 39.8575 - val_loss: 53.2256 - val_mse: 45.1564\n", - "Epoch 47/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 44.0773 - mse: 36.0601 - val_loss: 63.9864 - val_mse: 55.9096\n", - "Epoch 48/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 37.5402 - mse: 29.5163 - val_loss: 50.6000 - val_mse: 42.5501\n", - "Epoch 49/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 30.7168 - mse: 22.6807 - val_loss: 57.4853 - val_mse: 49.4946\n", - "Epoch 50/95\n", - "2/2 [==============================] - 0s 26ms/step - loss: 32.2120 - mse: 24.1914 - val_loss: 55.7863 - val_mse: 47.7736\n", - "Epoch 51/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 31.5037 - mse: 23.4870 - val_loss: 59.4838 - val_mse: 51.4652\n", - "Epoch 52/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 34.3170 - mse: 26.3108 - val_loss: 49.9319 - val_mse: 41.8776\n", - "Epoch 53/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 34.4644 - mse: 26.4442 - val_loss: 50.6084 - val_mse: 42.5387\n", - "Epoch 54/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 39.8905 - mse: 31.8724 - val_loss: 52.4254 - val_mse: 44.3493\n", - "Epoch 55/95\n", - "2/2 [==============================] - 0s 39ms/step - loss: 34.4173 - mse: 26.3869 - val_loss: 49.1306 - val_mse: 41.0879\n", - "Epoch 56/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 30.7927 - mse: 22.7712 - val_loss: 51.7057 - val_mse: 43.6592\n", - "Epoch 57/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 31.2000 - mse: 23.1694 - val_loss: 48.7004 - val_mse: 40.6648\n", - "Epoch 58/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 31.0659 - mse: 23.0437 - val_loss: 51.5504 - val_mse: 43.4781\n", - "Epoch 59/95\n", - "2/2 [==============================] - 0s 36ms/step - loss: 41.6317 - mse: 33.6145 - val_loss: 59.9077 - val_mse: 51.8005\n", - "Epoch 60/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 42.0451 - mse: 34.0032 - val_loss: 57.8127 - val_mse: 49.7213\n", - "Epoch 61/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 45.8674 - mse: 37.8360 - val_loss: 57.0680 - val_mse: 49.0564\n", - "Epoch 62/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 36.6409 - mse: 28.6464 - val_loss: 55.1803 - val_mse: 47.0858\n", - "Epoch 63/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 34.1124 - mse: 26.0634 - val_loss: 56.7321 - val_mse: 48.6625\n", - "Epoch 64/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 33.4615 - mse: 25.4035 - val_loss: 65.4360 - val_mse: 57.4179\n", - "Epoch 65/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 31.4123 - mse: 23.3734 - val_loss: 52.7160 - val_mse: 44.6884\n", - "Epoch 66/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 43.7786 - mse: 35.7449 - val_loss: 59.1461 - val_mse: 51.0781\n", - "Epoch 67/95\n", - "2/2 [==============================] - 0s 45ms/step - loss: 47.1163 - mse: 39.0845 - val_loss: 48.1505 - val_mse: 40.0910\n", - "Epoch 68/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 32.0769 - mse: 24.0358 - val_loss: 48.5654 - val_mse: 40.5121\n", - "Epoch 69/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 31.6393 - mse: 23.6062 - val_loss: 53.1491 - val_mse: 45.1159\n", - "Epoch 70/95\n", - "2/2 [==============================] - 0s 26ms/step - loss: 30.6043 - mse: 22.5688 - val_loss: 51.1511 - val_mse: 43.1080\n", - "Epoch 71/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 29.4102 - mse: 21.3639 - val_loss: 60.3446 - val_mse: 52.3437\n", - "Epoch 72/95\n", - "2/2 [==============================] - 0s 53ms/step - loss: 36.8305 - mse: 28.7976 - val_loss: 79.9315 - val_mse: 71.9428\n", - "Epoch 73/95\n", - "2/2 [==============================] - 0s 49ms/step - loss: 33.5243 - mse: 25.5091 - val_loss: 53.2747 - val_mse: 45.2445\n", - "Epoch 74/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 29.5178 - mse: 21.4885 - val_loss: 49.1370 - val_mse: 41.0984\n", - "Epoch 75/95\n", - "2/2 [==============================] - 0s 34ms/step - loss: 31.0804 - mse: 23.0447 - val_loss: 50.5328 - val_mse: 42.4863\n", - "Epoch 76/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 35.1479 - mse: 27.0989 - val_loss: 74.1688 - val_mse: 66.2219\n", - "Epoch 77/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 45.2853 - mse: 37.2813 - val_loss: 55.9121 - val_mse: 47.9106\n", - "Epoch 78/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 42.2833 - mse: 34.2543 - val_loss: 63.5481 - val_mse: 55.5680\n", - "Epoch 79/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 35.3603 - mse: 27.3483 - val_loss: 54.5990 - val_mse: 46.5788\n", - "Epoch 80/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 32.7467 - mse: 24.7349 - val_loss: 55.4660 - val_mse: 47.4036\n", - "Epoch 81/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 31.1140 - mse: 23.0835 - val_loss: 53.5352 - val_mse: 45.4834\n", - "Epoch 82/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 30.0835 - mse: 22.0505 - val_loss: 57.3523 - val_mse: 49.3166\n", - "Epoch 83/95\n", - "2/2 [==============================] - 0s 26ms/step - loss: 28.2788 - mse: 20.2467 - val_loss: 56.1653 - val_mse: 48.1545\n", - "Epoch 84/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 39.7653 - mse: 31.7276 - val_loss: 59.7977 - val_mse: 51.8065\n", - "Epoch 85/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 48.0764 - mse: 40.0410 - val_loss: 51.3592 - val_mse: 43.2914\n", - "Epoch 86/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 38.7013 - mse: 30.6868 - val_loss: 56.4985 - val_mse: 48.4188\n", - "Epoch 87/95\n", - "2/2 [==============================] - 0s 26ms/step - loss: 44.3299 - mse: 36.3073 - val_loss: 78.0858 - val_mse: 70.0498\n", - "Epoch 88/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 63.9663 - mse: 55.9265 - val_loss: 111.6683 - val_mse: 103.6525\n", - "Epoch 89/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 97.8563 - mse: 89.8769 - val_loss: 77.4839 - val_mse: 69.4859\n", - "Epoch 90/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 43.0715 - mse: 35.0165 - val_loss: 86.7982 - val_mse: 78.8389\n", - "Epoch 91/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 43.8674 - mse: 35.8513 - val_loss: 92.3767 - val_mse: 84.3065\n", - "Epoch 92/95\n", - "2/2 [==============================] - 0s 34ms/step - loss: 40.3631 - mse: 32.3015 - val_loss: 66.9431 - val_mse: 58.9270\n", - "Epoch 93/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 32.6527 - mse: 24.6130 - val_loss: 66.4576 - val_mse: 58.4313\n", - "Epoch 94/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 31.8188 - mse: 23.7802 - val_loss: 63.5672 - val_mse: 55.5666\n", - "Epoch 95/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 33.4158 - mse: 25.3866 - val_loss: 70.9500 - val_mse: 62.9934\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code here\n", - "loss , mse = model. evaluate(X_test , y_test, verbose = 1)\n", - "y_pred = model.predict(X_test)\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.plot(history.history['loss']) \n", - "plt.plot(history.history['val_loss'])\n", - "plt.figure(figsize=(10, 8)) \n", - "plt.legend(['train_loss', 'validation_loss'], loc='upper right')\n", - "print(history.history.keys())\n", - "plt.show()" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 784 - }, - "outputId": "7c0c98fe-2ee4-4dad-9c08-df6c9296dbaa" - }, - "execution_count": 27, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1/1 [==============================] - 0s 20ms/step - loss: 65.9450 - mse: 57.9884\n", - "dict_keys(['loss', 'mse', 'val_loss', 'val_mse'])\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "# Insert the function for R2 Score\n", - "from sklearn.metrics import r2_score\n", - "accu = r2_score(y_test, y_pred) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "e807538d-b809-46ef-c5b4-e77462e6c2f4" - }, - "execution_count": 28, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9942988171707029\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "Your text here" - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code here\n", - "from tensorflow.keras import layers\n", - "Model = Sequential(\n", - "[\n", - " layers.Dense(5, activation='relu', input_shape=(5,), kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)), \n", - " layers.Dense(4, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)),\n", - " layers.Dense(4, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)),\n", - " layers.Dense(4, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)),\n", - " layers.Dense(4, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)),\n", - " layers.Dense(4, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)),\n", - " layers.Dense(4, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)),\n", - " layers.Dense(8, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)),\n", - " \n", - " layers.Dense(1, kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01))\n", - "])\n", - "model.summary()" - ], - "metadata": { - "id": "1XOk5hJu0oSQ", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "ca03decf-82b4-4d5d-a19c-8a49683e755e" - }, - "execution_count": 33, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_4\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense_12 (Dense) (None, 5) 30 \n", - " \n", - " dense_13 (Dense) (None, 5) 30 \n", - " \n", - " dense_14 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 66\n", - "Trainable params: 66\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**Fitting the model with learning rate**\n", - "\n", - "\n", - "\n", - " \n", - "\n", - "\n", - "\n", - "\n", - "learning rate = 0.1\n", - "\n", - "Total_number_of_iterations = 128" - ], - "metadata": { - "id": "gQuOxhsZw-EI" - } - }, - { - "cell_type": "code", - "source": [ - "opt = tf.keras.optimizers.Adam(learning_rate=0.1) \n", - "Model.compile(optimizer=opt,loss='mse',metrics=['mse'])\n", - "history = Model.fit(X_train, y_train,epochs=128,validation_data = (X_val, y_val))" - ], - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "9b4490e6-b596-4aaf-8755-b8e25fc59c63" - }, - "execution_count": 34, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/128\n", - "2/2 [==============================] - 1s 300ms/step - loss: 11436.9512 - mse: 11430.6016 - val_loss: 11803.1855 - val_mse: 11798.6035\n", - "Epoch 2/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 11428.8115 - mse: 11424.6836 - val_loss: 11761.7373 - val_mse: 11758.6123\n", - "Epoch 3/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 11403.5254 - mse: 11400.5156 - val_loss: 11713.0098 - val_mse: 11710.1172\n", - "Epoch 4/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 11375.1133 - mse: 11372.1641 - val_loss: 11547.2207 - val_mse: 11543.9336\n", - "Epoch 5/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 11219.4688 - mse: 11216.0098 - val_loss: 11034.4443 - val_mse: 11030.5508\n", - "Epoch 6/128\n", - "2/2 [==============================] - 0s 33ms/step - loss: 10622.3730 - mse: 10618.3438 - val_loss: 9435.9277 - val_mse: 9431.4277\n", - "Epoch 7/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 8676.5771 - mse: 8671.8604 - val_loss: 5997.8911 - val_mse: 5992.5303\n", - "Epoch 8/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 7354.0820 - mse: 7348.5049 - val_loss: 5536.3262 - val_mse: 5530.4521\n", - "Epoch 9/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6324.5718 - mse: 6318.6826 - val_loss: 6671.6152 - val_mse: 6665.7090\n", - "Epoch 10/128\n", - "2/2 [==============================] - 0s 36ms/step - loss: 7024.7949 - mse: 7018.8857 - val_loss: 5250.2295 - val_mse: 5244.2856\n", - "Epoch 11/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 5860.3892 - mse: 5854.4150 - val_loss: 5378.9863 - val_mse: 5372.9609\n", - "Epoch 12/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 5757.9385 - mse: 5751.9185 - val_loss: 5030.5693 - val_mse: 5024.5894\n", - "Epoch 13/128\n", - "2/2 [==============================] - 0s 40ms/step - loss: 5665.6924 - mse: 5659.7275 - val_loss: 5124.2754 - val_mse: 5118.3418\n", - "Epoch 14/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 5587.5664 - mse: 5581.6279 - val_loss: 4866.8560 - val_mse: 4860.8794\n", - "Epoch 15/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 5535.2871 - mse: 5529.2827 - val_loss: 4942.6289 - val_mse: 4936.5874\n", - "Epoch 16/128\n", - "2/2 [==============================] - 0s 26ms/step - loss: 5463.8672 - mse: 5457.8301 - val_loss: 4997.0371 - val_mse: 4990.9971\n", - "Epoch 17/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 5527.8564 - mse: 5521.8027 - val_loss: 5026.6494 - val_mse: 5020.5449\n", - "Epoch 18/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 5398.2710 - mse: 5392.1436 - val_loss: 4897.6992 - val_mse: 4891.5161\n", - "Epoch 19/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 5420.7202 - mse: 5414.5312 - val_loss: 4858.3838 - val_mse: 4852.2158\n", - "Epoch 20/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 5320.3262 - mse: 5314.1670 - val_loss: 4922.4790 - val_mse: 4916.3281\n", - "Epoch 21/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 5322.3696 - mse: 5316.2197 - val_loss: 4859.4331 - val_mse: 4853.2720\n", - "Epoch 22/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 5270.0371 - mse: 5263.8701 - val_loss: 4779.5479 - val_mse: 4773.3647\n", - "Epoch 23/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 5284.3154 - mse: 5278.1396 - val_loss: 4728.8545 - val_mse: 4722.7051\n", - "Epoch 24/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 5229.1270 - mse: 5222.9814 - val_loss: 4765.8892 - val_mse: 4759.7686\n", - "Epoch 25/128\n", - "2/2 [==============================] - 0s 26ms/step - loss: 5229.6001 - mse: 5223.4971 - val_loss: 4713.9219 - val_mse: 4707.8540\n", - "Epoch 26/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 5194.7783 - mse: 5188.7129 - val_loss: 4678.9795 - val_mse: 4672.9272\n", - "Epoch 27/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 5179.7666 - mse: 5173.7207 - val_loss: 4693.7744 - val_mse: 4687.7593\n", - "Epoch 28/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 5153.8809 - mse: 5147.8828 - val_loss: 4711.7891 - val_mse: 4705.7803\n", - "Epoch 29/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 5134.8555 - mse: 5128.8125 - val_loss: 4660.5425 - val_mse: 4654.4634\n", - "Epoch 30/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 5123.2988 - mse: 5117.2534 - val_loss: 4677.6567 - val_mse: 4671.7085\n", - "Epoch 31/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 5113.0044 - mse: 5107.0654 - val_loss: 4633.3140 - val_mse: 4627.3560\n", - "Epoch 32/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 5090.4766 - mse: 5084.5000 - val_loss: 4613.6558 - val_mse: 4607.6426\n", - "Epoch 33/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 5066.4023 - mse: 5060.3896 - val_loss: 4633.3809 - val_mse: 4627.3813\n", - "Epoch 34/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 5059.9102 - mse: 5053.9141 - val_loss: 4606.2280 - val_mse: 4600.2310\n", - "Epoch 35/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 5028.8496 - mse: 5022.8447 - val_loss: 4571.5029 - val_mse: 4565.4741\n", - "Epoch 36/128\n", - "2/2 [==============================] - 0s 26ms/step - loss: 5022.6904 - mse: 5016.6621 - val_loss: 4571.0972 - val_mse: 4565.0923\n", - "Epoch 37/128\n", - "2/2 [==============================] - 0s 35ms/step - loss: 5008.4258 - mse: 5002.4321 - val_loss: 4577.4692 - val_mse: 4571.5015\n", - "Epoch 38/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4988.1143 - mse: 4982.1455 - val_loss: 4543.2095 - val_mse: 4537.2383\n", - "Epoch 39/128\n", - "2/2 [==============================] - 0s 34ms/step - loss: 4973.9541 - mse: 4967.9863 - val_loss: 4536.7393 - val_mse: 4530.7808\n", - "Epoch 40/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 4956.2363 - mse: 4950.2793 - val_loss: 4529.2261 - val_mse: 4523.2832\n", - "Epoch 41/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4935.8447 - mse: 4929.9053 - val_loss: 4500.3999 - val_mse: 4494.4512\n", - "Epoch 42/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4929.0566 - mse: 4923.1064 - val_loss: 4498.5234 - val_mse: 4492.5981\n", - "Epoch 43/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4907.6123 - mse: 4901.6934 - val_loss: 4507.1045 - val_mse: 4501.2070\n", - "Epoch 44/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4895.8701 - mse: 4889.9717 - val_loss: 4470.6167 - val_mse: 4464.7124\n", - "Epoch 45/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 4879.3374 - mse: 4873.4351 - val_loss: 4464.9019 - val_mse: 4459.0024\n", - "Epoch 46/128\n", - "2/2 [==============================] - 0s 35ms/step - loss: 4864.2500 - mse: 4858.3589 - val_loss: 4465.3569 - val_mse: 4459.4961\n", - "Epoch 47/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4849.6567 - mse: 4843.8032 - val_loss: 4441.2017 - val_mse: 4435.3491\n", - "Epoch 48/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4837.4429 - mse: 4831.5923 - val_loss: 4436.4634 - val_mse: 4430.6372\n", - "Epoch 49/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4821.8984 - mse: 4816.0776 - val_loss: 4432.7051 - val_mse: 4426.8999\n", - "Epoch 50/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4805.5200 - mse: 4799.7163 - val_loss: 4407.4395 - val_mse: 4401.6367\n", - "Epoch 51/128\n", - "2/2 [==============================] - 0s 35ms/step - loss: 4802.6523 - mse: 4796.8467 - val_loss: 4408.2563 - val_mse: 4402.4624\n", - "Epoch 52/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4787.1157 - mse: 4781.3296 - val_loss: 4422.8623 - val_mse: 4417.1074\n", - "Epoch 53/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4770.3247 - mse: 4764.5737 - val_loss: 4384.2134 - val_mse: 4378.4521\n", - "Epoch 54/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4759.2139 - mse: 4753.4370 - val_loss: 4396.3359 - val_mse: 4390.5039\n", - "Epoch 55/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4742.9634 - mse: 4737.1455 - val_loss: 4371.4727 - val_mse: 4365.6943\n", - "Epoch 56/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4728.1211 - mse: 4722.3462 - val_loss: 4355.9238 - val_mse: 4350.1460\n", - "Epoch 57/128\n", - "2/2 [==============================] - 0s 26ms/step - loss: 4712.3198 - mse: 4706.5386 - val_loss: 4364.6055 - val_mse: 4358.8169\n", - "Epoch 58/128\n", - "2/2 [==============================] - 0s 38ms/step - loss: 4699.4565 - mse: 4693.6680 - val_loss: 4340.1299 - val_mse: 4334.3345\n", - "Epoch 59/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4687.4116 - mse: 4681.6133 - val_loss: 4336.4028 - val_mse: 4330.5840\n", - "Epoch 60/128\n", - "2/2 [==============================] - 0s 33ms/step - loss: 4671.8794 - mse: 4666.0532 - val_loss: 4332.7568 - val_mse: 4326.9243\n", - "Epoch 61/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4658.6514 - mse: 4652.8140 - val_loss: 4310.4985 - val_mse: 4304.6548\n", - "Epoch 62/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4644.9424 - mse: 4639.1030 - val_loss: 4301.2173 - val_mse: 4295.3940\n", - "Epoch 63/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4632.7939 - mse: 4626.9727 - val_loss: 4290.6025 - val_mse: 4284.7866\n", - "Epoch 64/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4618.8643 - mse: 4613.0562 - val_loss: 4283.0342 - val_mse: 4277.2578\n", - "Epoch 65/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4606.5400 - mse: 4600.7754 - val_loss: 4276.4653 - val_mse: 4270.7104\n", - "Epoch 66/128\n", - "2/2 [==============================] - 0s 34ms/step - loss: 4594.3696 - mse: 4588.6147 - val_loss: 4261.5933 - val_mse: 4255.8477\n", - "Epoch 67/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 4581.8887 - mse: 4576.1465 - val_loss: 4254.1958 - val_mse: 4248.4746\n", - "Epoch 68/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4570.7007 - mse: 4564.9917 - val_loss: 4246.7109 - val_mse: 4241.0229\n", - "Epoch 69/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4557.0703 - mse: 4551.3799 - val_loss: 4234.7861 - val_mse: 4229.0903\n", - "Epoch 70/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4546.3828 - mse: 4540.6987 - val_loss: 4247.4863 - val_mse: 4241.8364\n", - "Epoch 71/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 4534.8374 - mse: 4529.1929 - val_loss: 4216.2451 - val_mse: 4210.5977\n", - "Epoch 72/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 4521.0283 - mse: 4515.3770 - val_loss: 4211.1738 - val_mse: 4205.5312\n", - "Epoch 73/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4506.6089 - mse: 4500.9756 - val_loss: 4208.3442 - val_mse: 4202.7305\n", - "Epoch 74/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4493.1680 - mse: 4487.5615 - val_loss: 4188.4697 - val_mse: 4182.8784\n", - "Epoch 75/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 4481.0156 - mse: 4475.4297 - val_loss: 4190.7134 - val_mse: 4185.1392\n", - "Epoch 76/128\n", - "2/2 [==============================] - 0s 34ms/step - loss: 4469.1572 - mse: 4463.5874 - val_loss: 4181.3037 - val_mse: 4175.7578\n", - "Epoch 77/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 4456.0957 - mse: 4450.5547 - val_loss: 4174.2378 - val_mse: 4168.7065\n", - "Epoch 78/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4443.6743 - mse: 4438.1455 - val_loss: 4157.3638 - val_mse: 4151.8442\n", - "Epoch 79/128\n", - "2/2 [==============================] - 0s 36ms/step - loss: 4432.5308 - mse: 4427.0161 - val_loss: 4153.6997 - val_mse: 4148.1982\n", - "Epoch 80/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 4421.5977 - mse: 4416.0967 - val_loss: 4142.0186 - val_mse: 4136.5254\n", - "Epoch 81/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 4408.7573 - mse: 4403.2676 - val_loss: 4136.3682 - val_mse: 4130.8838\n", - "Epoch 82/128\n", - "2/2 [==============================] - 0s 37ms/step - loss: 4394.6494 - mse: 4389.1660 - val_loss: 4126.1958 - val_mse: 4120.7334\n", - "Epoch 83/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4385.2651 - mse: 4379.8096 - val_loss: 4126.9292 - val_mse: 4121.4697\n", - "Epoch 84/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4373.6128 - mse: 4368.1484 - val_loss: 4116.4443 - val_mse: 4110.9839\n", - "Epoch 85/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 4361.6021 - mse: 4356.1489 - val_loss: 4108.2144 - val_mse: 4102.7661\n", - "Epoch 86/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 4354.3857 - mse: 4348.9404 - val_loss: 4102.4565 - val_mse: 4097.0269\n", - "Epoch 87/128\n", - "2/2 [==============================] - 0s 35ms/step - loss: 4339.8037 - mse: 4334.3750 - val_loss: 4094.9526 - val_mse: 4089.5190\n", - "Epoch 88/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 4325.2334 - mse: 4319.8013 - val_loss: 4074.5237 - val_mse: 4069.1030\n", - "Epoch 89/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 4319.2695 - mse: 4313.8545 - val_loss: 4104.4014 - val_mse: 4098.9985\n", - "Epoch 90/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4315.2407 - mse: 4309.8374 - val_loss: 4060.0952 - val_mse: 4054.6875\n", - "Epoch 91/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 4305.6113 - mse: 4300.2017 - val_loss: 4077.8811 - val_mse: 4072.4849\n", - "Epoch 92/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4290.4902 - mse: 4285.0996 - val_loss: 4076.5142 - val_mse: 4071.1230\n", - "Epoch 93/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4275.8008 - mse: 4270.4072 - val_loss: 4039.2065 - val_mse: 4033.8210\n", - "Epoch 94/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 4267.0078 - mse: 4261.6333 - val_loss: 4076.2820 - val_mse: 4070.9285\n", - "Epoch 95/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4254.0854 - mse: 4248.7354 - val_loss: 4025.1128 - val_mse: 4019.7512\n", - "Epoch 96/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4245.4023 - mse: 4240.0381 - val_loss: 4058.3806 - val_mse: 4053.0154\n", - "Epoch 97/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4229.0654 - mse: 4223.7021 - val_loss: 4029.1255 - val_mse: 4023.7710\n", - "Epoch 98/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 4218.6274 - mse: 4213.2773 - val_loss: 4040.8650 - val_mse: 4035.5298\n", - "Epoch 99/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4208.7339 - mse: 4203.4004 - val_loss: 4006.9802 - val_mse: 4001.6389\n", - "Epoch 100/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 4203.7642 - mse: 4198.4238 - val_loss: 4004.2571 - val_mse: 3998.9451\n", - "Epoch 101/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4189.3340 - mse: 4184.0298 - val_loss: 3984.7781 - val_mse: 3979.4626\n", - "Epoch 102/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4173.7578 - mse: 4168.4316 - val_loss: 3970.0815 - val_mse: 3964.7551\n", - "Epoch 103/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 4163.5215 - mse: 4158.2031 - val_loss: 3992.4539 - val_mse: 3987.1484\n", - "Epoch 104/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4155.1040 - mse: 4149.7920 - val_loss: 3966.6931 - val_mse: 3961.3738\n", - "Epoch 105/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4146.5605 - mse: 4141.2441 - val_loss: 4011.1287 - val_mse: 4005.8098\n", - "Epoch 106/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4130.9224 - mse: 4125.6025 - val_loss: 3971.6238 - val_mse: 3966.3032\n", - "Epoch 107/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 4127.1074 - mse: 4121.7920 - val_loss: 4018.2056 - val_mse: 4012.9072\n", - "Epoch 108/128\n", - "2/2 [==============================] - 0s 41ms/step - loss: 4125.6978 - mse: 4120.3984 - val_loss: 3943.8816 - val_mse: 3938.5662\n", - "Epoch 109/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4114.7832 - mse: 4109.4658 - val_loss: 3974.0791 - val_mse: 3968.7866\n", - "Epoch 110/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 4110.1699 - mse: 4104.8833 - val_loss: 3925.7029 - val_mse: 3920.3989\n", - "Epoch 111/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4103.5127 - mse: 4098.2026 - val_loss: 3962.3147 - val_mse: 3957.0273\n", - "Epoch 112/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 4102.0723 - mse: 4096.7949 - val_loss: 3935.1843 - val_mse: 3929.8955\n", - "Epoch 113/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4097.1294 - mse: 4091.8374 - val_loss: 3951.4988 - val_mse: 3946.2329\n", - "Epoch 114/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4061.7339 - mse: 4056.4658 - val_loss: 3932.2217 - val_mse: 3926.9419\n", - "Epoch 115/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4041.2925 - mse: 4036.0105 - val_loss: 3887.0381 - val_mse: 3881.7583\n", - "Epoch 116/128\n", - "2/2 [==============================] - 0s 42ms/step - loss: 4036.5110 - mse: 4031.2439 - val_loss: 3970.5859 - val_mse: 3965.3384\n", - "Epoch 117/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4037.7175 - mse: 4032.4495 - val_loss: 3920.8359 - val_mse: 3915.5222\n", - "Epoch 118/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4050.2583 - mse: 4044.9624 - val_loss: 4002.2964 - val_mse: 3997.0530\n", - "Epoch 119/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 4028.8113 - mse: 4023.5566 - val_loss: 3891.9407 - val_mse: 3886.5881\n", - "Epoch 120/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 4024.6084 - mse: 4019.2761 - val_loss: 3985.9336 - val_mse: 3980.6951\n", - "Epoch 121/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 4018.6187 - mse: 4013.3718 - val_loss: 3878.2263 - val_mse: 3872.9045\n", - "Epoch 122/128\n", - "2/2 [==============================] - 0s 45ms/step - loss: 4001.9187 - mse: 3996.5776 - val_loss: 3909.4238 - val_mse: 3904.0740\n", - "Epoch 123/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 3980.8208 - mse: 3975.4612 - val_loss: 3876.7058 - val_mse: 3871.3022\n", - "Epoch 124/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 3968.8865 - mse: 3963.4644 - val_loss: 3853.1606 - val_mse: 3847.7217\n", - "Epoch 125/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 3955.2593 - mse: 3949.8281 - val_loss: 3863.4734 - val_mse: 3858.0254\n", - "Epoch 126/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 3950.7139 - mse: 3945.2380 - val_loss: 3840.0002 - val_mse: 3834.4729\n", - "Epoch 127/128\n", - "2/2 [==============================] - 0s 34ms/step - loss: 3948.2090 - mse: 3942.6919 - val_loss: 3946.6526 - val_mse: 3941.1619\n", - "Epoch 128/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 3949.8181 - mse: 3944.3103 - val_loss: 3848.4363 - val_mse: 3842.8701\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**LOSSE's**" - ], - "metadata": { - "id": "uEU58QWaxZSP" - } - }, - { - "cell_type": "code", - "source": [ - "loss , mse = model. evaluate(X_test , y_test, verbose = 1)\n", - "print('MSE : %.3f' % mse)\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.plot(history.history['loss']) \n", - "plt.plot(history.history['val_loss'])\n", - "plt.figure(figsize=(10, 8)) \n", - "plt.legend(['train_loss', 'validation_loss'], loc='upper right')\n", - "print(history.history.keys())\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 801 - }, - "id": "on-rHfFtxfsB", - "outputId": "f15fb1df-a48c-4a74-cd45-dfd27c71d498" - }, - "execution_count": 36, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1/1 [==============================] - 0s 120ms/step - loss: 65.9450 - mse: 57.9884\n", - "MSE : 57.988\n", - "dict_keys(['loss', 'mse', 'val_loss', 'val_mse'])\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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AYJDYAgAYJLYAAAaJLQCAQWILAGCQ2AIAGCS2AAAGiS0AgEFiCwBgkNgCABgktgAABoktAIBBYgsAYJDYAgAYJLYAAAaJLQCAQWILAGCQ2AIAGCS2AAAGiS0AgEFiCwBgkNgCABi0UGxV1U1V9VhVnaiqu85w+89U1b9u3v7lqrpu2YMCAKyiHWOrqi5Jck+Sm5PckOT2qrph27I7kvygu38pyd8m+YtlDwoAsIoWObN1Y5IT3f14dz+T5N4kt25bc2uSf968/Okkb66qWt6YAACraZHYujrJE1uur28eO+Oa7n4uydNJrlzGgAAAq+zSvXywqjqc5PDm1R9V1df28vFZqquSfO98D8Gu2LvVZv9Wl71bbb+82x9cJLaeTHLNlusHNo+dac16VV2a5JVJTm2/o+4+kuRIklTV8e5e283QnH/2b3XZu9Vm/1aXvVttVXV8tz+7yNOIDyU5WFXXV9XlSW5LcnTbmqNJ/mDz8u8m+Y/u7t0OBQDwUrHjma3ufq6q7kxyf5JLkny0ux+pqruTHO/uo0n+KcnHq+pEku9nI8gAAC56C71mq7uPJTm27dgHtlw+neT3XuBjH3mB67mw2L/VZe9Wm/1bXfZute16/8qzfQAAc3xdDwDAoPHY8lU/q2uBvXtPVT1aVQ9X1b9X1S+ejzk5s532b8u6t1ZVV5V3SV1AFtm/qnrb5u/gI1X1ib2ekTNb4O/Oa6vqgar66ubfn7ecjzl5vqr6aFU9dbaPpqoNf7e5tw9X1esXud/R2PJVP6trwb37apK17n5tNr454C/3dkrOZsH9S1VdkeSPknx5byfkXBbZv6o6mOTPkryxu381yR/v+aA8z4K/e+9Pcl93vy4bbyj78N5OyTl8LMlN57j95iQHN/8cTvKRRe50+syWr/pZXTvuXXc/0N0/3Lz6YDY+g40LwyK/e0ny59n4D87pvRyOHS2yf+9Kck93/yBJuvupPZ6RM1tk7zrJKzYvvzLJd/ZwPs6hu7+QjU9VOJtbk/xLb3gwyc9V1S/sdL/TseWrflbXInu31R1JPjc6ES/Ejvu3efr7mu7+7F4OxkIW+f17VZJXVdUXq+rBqjrX/8bZO4vs3YeSvL2q1rPxTv93781oLMEL/bcxyR5/XQ8vTVX19iRrSX7rfM/CYqrqZUn+Jsk7zvMo7N6l2Xgq403ZOKv8har6te7+n/M6FYu4PcnHuvuvq+o3s/E5la/p7v8734MxY/rM1gv5qp+c66t+2HOL7F2q6i1J3pfkUHf/aI9mY2c77d8VSV6T5PNV9a0kb0hy1IvkLxiL/P6tJzna3c929zeTfCMb8cX5tcje3ZHkviTp7i8l2ZeN703kwrfQv43bTceWr/pZXTvuXVW9Lsk/ZCO0vF7kwnLO/evup7v7qu6+rruvy8Zr7g51966/+4ulWuTvzs9k46xWquqqbDyt+PheDskZLbJ3307y5iSpql/JRmyd3NMp2a2jSX5/812Jb0jydHd/d6cfGn0a0Vf9rK4F9+6vkvxskk9tvqfh29196LwNzU8suH9coBbcv/uT/E5VPZrkf5P8aXd7VuA8W3Dv3pvkH6vqT7LxYvl3OMlwYaiqT2bjPzFXbb6m7oNJLkuS7v77bLzG7pYkJ5L8MMk7F7pf+wsAMMcnyAMADBJbAACDxBYAwCCxBQAwSGwBAAwSWwAAg8QWAMAgsQUAMOj/ASwq4RhE3fv5AAAAAElFTkSuQmCC\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**Accuracy and r2 score**" - ], - "metadata": { - "id": "ijwJuiUPxx6H" - } - }, - { - "cell_type": "code", - "source": [ - "accu = r2_score(y_test, y_pred) \n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "pTpeIq3sx22S", - "outputId": "9e68bfe4-bf52-4d16-daad-db2582da6bac" - }, - "execution_count": 37, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9942988171707029\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_200551.ipynb b/Assignment 2/A2_200551.ipynb deleted file mode 100644 index 22b1d4d..0000000 --- a/Assignment 2/A2_200551.ipynb +++ /dev/null @@ -1,997 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CVusingTF_Assgn2.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "import numpy as np\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "code", - "source": [ - "print(X_test)\n", - "print(y_test)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "jlYbmWPvwbrn", - "outputId": "afceff44-bbac-40d0-b69e-2edda43c3924" - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[[ 1.19451626 1.9378714 -0.08073961 -0.49872072 0.60883722]\n", - " [-0.98299165 -1.20894816 0.15989294 0.05443274 2.22336022]\n", - " [ 0.50181025 1.10917458 -0.20735394 -1.73033794 -0.2128659 ]\n", - " [-0.85295128 -0.89097573 -0.2910958 -1.10457461 0.03863521]\n", - " [ 0.05056171 0.69359851 -0.99590893 0.49995133 -0.41830152]\n", - " [-0.9617768 0.15846954 -0.64764453 1.27181862 1.99008302]\n", - " [ 0.51655963 -0.68114843 1.02645497 0.67380149 -1.96601472]\n", - " [-0.38622864 -0.01963622 0.89834902 -0.17271986 0.2426732 ]\n", - " [ 0.09477072 -0.90573928 -1.58530086 0.58184748 -0.29557475]\n", - " [-0.47266282 1.59987751 1.2292134 0.09626794 -0.39941428]\n", - " [ 0.65746416 0.64931448 -0.40039299 -0.03396529 1.37841955]\n", - " [ 0.30059995 0.47166082 1.2005088 0.69509262 -0.77641325]\n", - " [ 0.78660228 0.03592805 0.03754749 -1.84087587 -0.77873992]\n", - " [ 1.91525157 -1.17895602 0.08403339 2.18584815 1.15605606]\n", - " [ 0.42588322 -0.40668098 0.77546788 1.34176007 -0.42305624]\n", - " [ 0.81410087 0.07382213 0.5337351 -0.55337285 0.10614917]\n", - " [-0.14524674 1.07763433 2.20356402 0.5080733 1.61724121]\n", - " [ 1.91728485 -0.58059517 -0.19457399 -0.68011624 -1.095916 ]\n", - " [ 0.73824711 -0.12656859 0.61474063 0.65075323 1.57887425]\n", - " [-1.58457724 0.33225003 0.59857517 -0.64770677 -1.14747663]]\n", - "[ 215.47124758 -131.1390209 79.87403933 -140.76311462 -7.91882959\n", - " -59.29081497 34.92501227 24.22069865 -139.33799971 153.57904985\n", - " 68.95790292 130.17425384 29.65951354 80.53740813 57.63151087\n", - " 80.93091525 198.17702362 59.77779093 86.26391892 -66.93162171]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code here\n", - "plt.scatter(X[:,0],y)\n", - "plt.scatter(X[:,1],y)\n", - "plt.scatter(X[:,2],y)\n", - "plt.scatter(X[:,3],y)\n", - "plt.scatter(X[:,4],y)\n", - "\n", - "\n", - "X_train = X_train/np.max(X_train)\n", - "y_train = y_train /np.max(y_train)\n", - "X_test = X_test / np.max(X_test)\n", - "y_test = y_test / np.max(y_test)" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "3a51b3c7-6838-4891-877c-ba2c9249c08d" - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "X_train.shape" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "eQx_AVfixhG0", - "outputId": "f56543c1-4436-4c4c-a172-855d341b76c1" - }, - "execution_count": 4, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(80, 5)" - ] - }, - "metadata": {}, - "execution_count": 4 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "# Your code here\n", - "model = tf.keras.models.Sequential([\n", - " tf.keras.layers.Dense(5, input_dim = X_train.shape[1] ,activation='relu'),\n", - " tf.keras.layers.Dense(5, activation='relu'), \n", - " tf.keras.layers.Dense(1)\n", - "])\n", - "print(model.summary())\n", - "model.compile(loss='mean_squared_error',\n", - " optimizer='sgd',\n", - " metrics=['mean_squared_error'])" - ], - "metadata": { - "id": "r32N1xK2ziOs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "acef5c46-e652-4422-f11a-840ba5310045" - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense (Dense) (None, 5) 30 \n", - " \n", - " dense_1 (Dense) (None, 5) 30 \n", - " \n", - " dense_2 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 66\n", - "Trainable params: 66\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "history = model.fit(X_train, y_train , validation_data=(X_test, y_test), epochs=100)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "fcyKPBltBcnS", - "outputId": "e39eeb34-4ffa-4906-c88f-d2ddaa39616b" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/100\n", - "3/3 [==============================] - 3s 79ms/step - loss: 0.2443 - mean_squared_error: 0.2443 - val_loss: 0.2225 - val_mean_squared_error: 0.2225\n", - "Epoch 2/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.2376 - mean_squared_error: 0.2376 - val_loss: 0.2206 - val_mean_squared_error: 0.2206\n", - "Epoch 3/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.2317 - mean_squared_error: 0.2317 - val_loss: 0.2188 - val_mean_squared_error: 0.2188\n", - "Epoch 4/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.2255 - mean_squared_error: 0.2255 - val_loss: 0.2172 - val_mean_squared_error: 0.2172\n", - "Epoch 5/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.2208 - mean_squared_error: 0.2208 - val_loss: 0.2158 - val_mean_squared_error: 0.2158\n", - "Epoch 6/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.2163 - mean_squared_error: 0.2163 - val_loss: 0.2141 - val_mean_squared_error: 0.2141\n", - "Epoch 7/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.2124 - mean_squared_error: 0.2124 - val_loss: 0.2127 - val_mean_squared_error: 0.2127\n", - "Epoch 8/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.2078 - mean_squared_error: 0.2078 - val_loss: 0.2112 - val_mean_squared_error: 0.2112\n", - "Epoch 9/100\n", - "3/3 [==============================] - 0s 21ms/step - loss: 0.2041 - mean_squared_error: 0.2041 - val_loss: 0.2094 - val_mean_squared_error: 0.2094\n", - "Epoch 10/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.2000 - mean_squared_error: 0.2000 - val_loss: 0.2074 - val_mean_squared_error: 0.2074\n", - "Epoch 11/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 0.1969 - mean_squared_error: 0.1969 - val_loss: 0.2055 - val_mean_squared_error: 0.2055\n", - "Epoch 12/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1940 - mean_squared_error: 0.1940 - val_loss: 0.2033 - val_mean_squared_error: 0.2033\n", - "Epoch 13/100\n", - "3/3 [==============================] - 0s 24ms/step - loss: 0.1907 - mean_squared_error: 0.1907 - val_loss: 0.2010 - val_mean_squared_error: 0.2010\n", - "Epoch 14/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1878 - mean_squared_error: 0.1878 - val_loss: 0.1989 - val_mean_squared_error: 0.1989\n", - "Epoch 15/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1855 - mean_squared_error: 0.1855 - val_loss: 0.1969 - val_mean_squared_error: 0.1969\n", - "Epoch 16/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1835 - mean_squared_error: 0.1835 - val_loss: 0.1950 - val_mean_squared_error: 0.1950\n", - "Epoch 17/100\n", - "3/3 [==============================] - 0s 23ms/step - loss: 0.1818 - mean_squared_error: 0.1818 - val_loss: 0.1936 - val_mean_squared_error: 0.1936\n", - "Epoch 18/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1803 - mean_squared_error: 0.1803 - val_loss: 0.1922 - val_mean_squared_error: 0.1922\n", - "Epoch 19/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1786 - mean_squared_error: 0.1786 - val_loss: 0.1904 - val_mean_squared_error: 0.1904\n", - "Epoch 20/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1773 - mean_squared_error: 0.1773 - val_loss: 0.1887 - val_mean_squared_error: 0.1887\n", - "Epoch 21/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1760 - mean_squared_error: 0.1760 - val_loss: 0.1867 - val_mean_squared_error: 0.1867\n", - "Epoch 22/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1748 - mean_squared_error: 0.1748 - val_loss: 0.1850 - val_mean_squared_error: 0.1850\n", - "Epoch 23/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1738 - mean_squared_error: 0.1738 - val_loss: 0.1835 - val_mean_squared_error: 0.1835\n", - "Epoch 24/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 0.1727 - mean_squared_error: 0.1727 - val_loss: 0.1815 - val_mean_squared_error: 0.1815\n", - "Epoch 25/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1716 - mean_squared_error: 0.1716 - val_loss: 0.1796 - val_mean_squared_error: 0.1796\n", - "Epoch 26/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1706 - mean_squared_error: 0.1706 - val_loss: 0.1782 - val_mean_squared_error: 0.1782\n", - "Epoch 27/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1695 - mean_squared_error: 0.1695 - val_loss: 0.1768 - val_mean_squared_error: 0.1768\n", - "Epoch 28/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1687 - mean_squared_error: 0.1687 - val_loss: 0.1761 - val_mean_squared_error: 0.1761\n", - "Epoch 29/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1677 - mean_squared_error: 0.1677 - val_loss: 0.1751 - val_mean_squared_error: 0.1751\n", - "Epoch 30/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1670 - mean_squared_error: 0.1670 - val_loss: 0.1744 - val_mean_squared_error: 0.1744\n", - "Epoch 31/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1663 - mean_squared_error: 0.1663 - val_loss: 0.1738 - val_mean_squared_error: 0.1738\n", - "Epoch 32/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1656 - mean_squared_error: 0.1656 - val_loss: 0.1726 - val_mean_squared_error: 0.1726\n", - "Epoch 33/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 0.1649 - mean_squared_error: 0.1649 - val_loss: 0.1724 - val_mean_squared_error: 0.1724\n", - "Epoch 34/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1640 - mean_squared_error: 0.1640 - val_loss: 0.1713 - val_mean_squared_error: 0.1713\n", - "Epoch 35/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1633 - mean_squared_error: 0.1633 - val_loss: 0.1711 - val_mean_squared_error: 0.1711\n", - "Epoch 36/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1625 - mean_squared_error: 0.1625 - val_loss: 0.1701 - val_mean_squared_error: 0.1701\n", - "Epoch 37/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1619 - mean_squared_error: 0.1619 - val_loss: 0.1689 - val_mean_squared_error: 0.1689\n", - "Epoch 38/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1610 - mean_squared_error: 0.1610 - val_loss: 0.1685 - val_mean_squared_error: 0.1685\n", - "Epoch 39/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1604 - mean_squared_error: 0.1604 - val_loss: 0.1676 - val_mean_squared_error: 0.1676\n", - "Epoch 40/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1597 - mean_squared_error: 0.1597 - val_loss: 0.1670 - val_mean_squared_error: 0.1670\n", - "Epoch 41/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1591 - mean_squared_error: 0.1591 - val_loss: 0.1664 - val_mean_squared_error: 0.1664\n", - "Epoch 42/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1585 - mean_squared_error: 0.1585 - val_loss: 0.1658 - val_mean_squared_error: 0.1658\n", - "Epoch 43/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1579 - mean_squared_error: 0.1579 - val_loss: 0.1652 - val_mean_squared_error: 0.1652\n", - "Epoch 44/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1573 - mean_squared_error: 0.1573 - val_loss: 0.1648 - val_mean_squared_error: 0.1648\n", - "Epoch 45/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 0.1569 - mean_squared_error: 0.1569 - val_loss: 0.1647 - val_mean_squared_error: 0.1647\n", - "Epoch 46/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1563 - mean_squared_error: 0.1563 - val_loss: 0.1642 - val_mean_squared_error: 0.1642\n", - "Epoch 47/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 0.1557 - mean_squared_error: 0.1557 - val_loss: 0.1635 - val_mean_squared_error: 0.1635\n", - "Epoch 48/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1552 - mean_squared_error: 0.1552 - val_loss: 0.1632 - val_mean_squared_error: 0.1632\n", - "Epoch 49/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 0.1546 - mean_squared_error: 0.1546 - val_loss: 0.1622 - val_mean_squared_error: 0.1622\n", - "Epoch 50/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1540 - mean_squared_error: 0.1540 - val_loss: 0.1616 - val_mean_squared_error: 0.1616\n", - "Epoch 51/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1534 - mean_squared_error: 0.1534 - val_loss: 0.1613 - val_mean_squared_error: 0.1613\n", - "Epoch 52/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1528 - mean_squared_error: 0.1528 - val_loss: 0.1607 - val_mean_squared_error: 0.1607\n", - "Epoch 53/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1522 - mean_squared_error: 0.1522 - val_loss: 0.1598 - val_mean_squared_error: 0.1598\n", - "Epoch 54/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1516 - mean_squared_error: 0.1516 - val_loss: 0.1588 - val_mean_squared_error: 0.1588\n", - "Epoch 55/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1510 - mean_squared_error: 0.1510 - val_loss: 0.1581 - val_mean_squared_error: 0.1581\n", - "Epoch 56/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1504 - mean_squared_error: 0.1504 - val_loss: 0.1577 - val_mean_squared_error: 0.1577\n", - "Epoch 57/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1500 - mean_squared_error: 0.1500 - val_loss: 0.1573 - val_mean_squared_error: 0.1573\n", - "Epoch 58/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.1493 - mean_squared_error: 0.1493 - val_loss: 0.1568 - val_mean_squared_error: 0.1568\n", - "Epoch 59/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1487 - mean_squared_error: 0.1487 - val_loss: 0.1564 - val_mean_squared_error: 0.1564\n", - "Epoch 60/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 0.1480 - mean_squared_error: 0.1480 - val_loss: 0.1558 - val_mean_squared_error: 0.1558\n", - "Epoch 61/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.1475 - mean_squared_error: 0.1475 - val_loss: 0.1550 - val_mean_squared_error: 0.1550\n", - "Epoch 62/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.1469 - mean_squared_error: 0.1469 - val_loss: 0.1544 - val_mean_squared_error: 0.1544\n", - "Epoch 63/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1464 - mean_squared_error: 0.1464 - val_loss: 0.1540 - val_mean_squared_error: 0.1540\n", - "Epoch 64/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.1458 - mean_squared_error: 0.1458 - val_loss: 0.1535 - val_mean_squared_error: 0.1535\n", - "Epoch 65/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.1451 - mean_squared_error: 0.1451 - val_loss: 0.1528 - val_mean_squared_error: 0.1528\n", - "Epoch 66/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.1445 - mean_squared_error: 0.1445 - val_loss: 0.1522 - val_mean_squared_error: 0.1522\n", - "Epoch 67/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.1438 - mean_squared_error: 0.1438 - val_loss: 0.1516 - val_mean_squared_error: 0.1516\n", - "Epoch 68/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1433 - mean_squared_error: 0.1433 - val_loss: 0.1509 - val_mean_squared_error: 0.1509\n", - "Epoch 69/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1427 - mean_squared_error: 0.1427 - val_loss: 0.1500 - val_mean_squared_error: 0.1500\n", - "Epoch 70/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1421 - mean_squared_error: 0.1421 - val_loss: 0.1492 - val_mean_squared_error: 0.1492\n", - "Epoch 71/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1415 - mean_squared_error: 0.1415 - val_loss: 0.1488 - val_mean_squared_error: 0.1488\n", - "Epoch 72/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1409 - mean_squared_error: 0.1409 - val_loss: 0.1484 - val_mean_squared_error: 0.1484\n", - "Epoch 73/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1403 - mean_squared_error: 0.1403 - val_loss: 0.1477 - val_mean_squared_error: 0.1477\n", - "Epoch 74/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 0.1396 - mean_squared_error: 0.1396 - val_loss: 0.1472 - val_mean_squared_error: 0.1472\n", - "Epoch 75/100\n", - "3/3 [==============================] - 0s 19ms/step - loss: 0.1391 - mean_squared_error: 0.1391 - val_loss: 0.1467 - val_mean_squared_error: 0.1467\n", - "Epoch 76/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1385 - mean_squared_error: 0.1385 - val_loss: 0.1461 - val_mean_squared_error: 0.1461\n", - "Epoch 77/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.1380 - mean_squared_error: 0.1380 - val_loss: 0.1456 - val_mean_squared_error: 0.1456\n", - "Epoch 78/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.1375 - mean_squared_error: 0.1375 - val_loss: 0.1451 - val_mean_squared_error: 0.1451\n", - "Epoch 79/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.1368 - mean_squared_error: 0.1368 - val_loss: 0.1447 - val_mean_squared_error: 0.1447\n", - "Epoch 80/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1364 - mean_squared_error: 0.1364 - val_loss: 0.1442 - val_mean_squared_error: 0.1442\n", - "Epoch 81/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1357 - mean_squared_error: 0.1357 - val_loss: 0.1437 - val_mean_squared_error: 0.1437\n", - "Epoch 82/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1354 - mean_squared_error: 0.1354 - val_loss: 0.1435 - val_mean_squared_error: 0.1435\n", - "Epoch 83/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1348 - mean_squared_error: 0.1348 - val_loss: 0.1428 - val_mean_squared_error: 0.1428\n", - "Epoch 84/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1343 - mean_squared_error: 0.1343 - val_loss: 0.1423 - val_mean_squared_error: 0.1423\n", - "Epoch 85/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 0.1338 - mean_squared_error: 0.1338 - val_loss: 0.1419 - val_mean_squared_error: 0.1419\n", - "Epoch 86/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1332 - mean_squared_error: 0.1332 - val_loss: 0.1415 - val_mean_squared_error: 0.1415\n", - "Epoch 87/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1327 - mean_squared_error: 0.1327 - val_loss: 0.1411 - val_mean_squared_error: 0.1411\n", - "Epoch 88/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.1323 - mean_squared_error: 0.1323 - val_loss: 0.1407 - val_mean_squared_error: 0.1407\n", - "Epoch 89/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1318 - mean_squared_error: 0.1318 - val_loss: 0.1403 - val_mean_squared_error: 0.1403\n", - "Epoch 90/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1313 - mean_squared_error: 0.1313 - val_loss: 0.1396 - val_mean_squared_error: 0.1396\n", - "Epoch 91/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 0.1308 - mean_squared_error: 0.1308 - val_loss: 0.1391 - val_mean_squared_error: 0.1391\n", - "Epoch 92/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 0.1305 - mean_squared_error: 0.1305 - val_loss: 0.1385 - val_mean_squared_error: 0.1385\n", - "Epoch 93/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 0.1300 - mean_squared_error: 0.1300 - val_loss: 0.1380 - val_mean_squared_error: 0.1380\n", - "Epoch 94/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 0.1294 - mean_squared_error: 0.1294 - val_loss: 0.1376 - val_mean_squared_error: 0.1376\n", - "Epoch 95/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1289 - mean_squared_error: 0.1289 - val_loss: 0.1369 - val_mean_squared_error: 0.1369\n", - "Epoch 96/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1282 - mean_squared_error: 0.1282 - val_loss: 0.1365 - val_mean_squared_error: 0.1365\n", - "Epoch 97/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1277 - mean_squared_error: 0.1277 - val_loss: 0.1361 - val_mean_squared_error: 0.1361\n", - "Epoch 98/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1273 - mean_squared_error: 0.1273 - val_loss: 0.1356 - val_mean_squared_error: 0.1356\n", - "Epoch 99/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 0.1266 - mean_squared_error: 0.1266 - val_loss: 0.1351 - val_mean_squared_error: 0.1351\n", - "Epoch 100/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 0.1261 - mean_squared_error: 0.1261 - val_loss: 0.1348 - val_mean_squared_error: 0.1348\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['mean_squared_error'])\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "id": "je7vCNu1OpDk", - "outputId": "f15f48e5-89a4-4ee9-80f8-9c8e1ad6a8ab" - }, - "execution_count": 7, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "# Insert the function for R2 Score\n", - "results = model.evaluate(X_test, y_test)\n", - "#acc = model.score(X_test , y_test)\n", - "print(\"Accuracy = \", results[1])" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "23b7b905-e27b-4a98-a1a3-3571fb674c74" - }, - "execution_count": 8, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1/1 [==============================] - 0s 18ms/step - loss: 0.1348 - mean_squared_error: 0.1348\n", - "Accuracy = 0.1347619593143463\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "loss = history.history['loss']\n", - "val_loss = history.history['val_loss']\n", - "epochs = range(1, len(loss) + 1)\n", - "plt.plot(epochs, loss, 'y', label='Training loss')\n", - "plt.plot(epochs, val_loss, 'r', label='Validation loss')\n", - "plt.title('Training and validation loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.legend()\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 295 - }, - "id": "6RR69-KZDT3E", - "outputId": "220ac665-7978-45da-bc98-a649315432e8" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "Your text here" - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "\n", - "# Your code here\n", - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "# Your code here\n", - "model = tf.keras.models.Sequential([\n", - " tf.keras.layers.Dense(5, input_dim = X_train.shape[1] ,activation='relu'),\n", - " tf.keras.layers.Dense(20, activation='relu'), \n", - " tf.keras.layers.Dense(30, activation='relu'), \n", - " tf.keras.layers.Dense(5, activation='relu'), \n", - " tf.keras.layers.Dense(1)\n", - "])\n", - "print(model.summary())\n", - "model.compile(loss='mean_squared_error',\n", - " optimizer='adam',\n", - " metrics=['mean_squared_error'])" - ], - "metadata": { - "id": "1XOk5hJu0oSQ", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "ba82284b-070d-4764-8881-3a021b69892b" - }, - "execution_count": 10, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense_3 (Dense) (None, 5) 30 \n", - " \n", - " dense_4 (Dense) (None, 20) 120 \n", - " \n", - " dense_5 (Dense) (None, 30) 630 \n", - " \n", - " dense_6 (Dense) (None, 5) 155 \n", - " \n", - " dense_7 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 941\n", - "Trainable params: 941\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "history = model.fit(X_train, y_train , validation_data=(X_test, y_test), epochs=100)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "03YNyZ-v4ZQF", - "outputId": "af2dfa16-201d-45db-add9-46ac3c69747c" - }, - "execution_count": 11, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/100\n", - "3/3 [==============================] - 1s 78ms/step - loss: 0.2108 - mean_squared_error: 0.2108 - val_loss: 0.2407 - val_mean_squared_error: 0.2407\n", - "Epoch 2/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.2056 - mean_squared_error: 0.2056 - val_loss: 0.2333 - val_mean_squared_error: 0.2333\n", - "Epoch 3/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.2010 - mean_squared_error: 0.2010 - val_loss: 0.2265 - val_mean_squared_error: 0.2265\n", - "Epoch 4/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1969 - mean_squared_error: 0.1969 - val_loss: 0.2206 - val_mean_squared_error: 0.2206\n", - "Epoch 5/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1923 - mean_squared_error: 0.1923 - val_loss: 0.2131 - val_mean_squared_error: 0.2131\n", - "Epoch 6/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1869 - mean_squared_error: 0.1869 - val_loss: 0.2053 - val_mean_squared_error: 0.2053\n", - "Epoch 7/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1819 - mean_squared_error: 0.1819 - val_loss: 0.1976 - val_mean_squared_error: 0.1976\n", - "Epoch 8/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1762 - mean_squared_error: 0.1762 - val_loss: 0.1901 - val_mean_squared_error: 0.1901\n", - "Epoch 9/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 0.1706 - mean_squared_error: 0.1706 - val_loss: 0.1827 - val_mean_squared_error: 0.1827\n", - "Epoch 10/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1646 - mean_squared_error: 0.1646 - val_loss: 0.1753 - val_mean_squared_error: 0.1753\n", - "Epoch 11/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1585 - mean_squared_error: 0.1585 - val_loss: 0.1674 - val_mean_squared_error: 0.1674\n", - "Epoch 12/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1522 - mean_squared_error: 0.1522 - val_loss: 0.1592 - val_mean_squared_error: 0.1592\n", - "Epoch 13/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1454 - mean_squared_error: 0.1454 - val_loss: 0.1509 - val_mean_squared_error: 0.1509\n", - "Epoch 14/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.1386 - mean_squared_error: 0.1386 - val_loss: 0.1424 - val_mean_squared_error: 0.1424\n", - "Epoch 15/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1322 - mean_squared_error: 0.1322 - val_loss: 0.1352 - val_mean_squared_error: 0.1352\n", - "Epoch 16/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1251 - mean_squared_error: 0.1251 - val_loss: 0.1271 - val_mean_squared_error: 0.1271\n", - "Epoch 17/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.1185 - mean_squared_error: 0.1185 - val_loss: 0.1189 - val_mean_squared_error: 0.1189\n", - "Epoch 18/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1119 - mean_squared_error: 0.1119 - val_loss: 0.1121 - val_mean_squared_error: 0.1121\n", - "Epoch 19/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.1060 - mean_squared_error: 0.1060 - val_loss: 0.1064 - val_mean_squared_error: 0.1064\n", - "Epoch 20/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.0994 - mean_squared_error: 0.0994 - val_loss: 0.1004 - val_mean_squared_error: 0.1004\n", - "Epoch 21/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 0.0934 - mean_squared_error: 0.0934 - val_loss: 0.0958 - val_mean_squared_error: 0.0958\n", - "Epoch 22/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.0878 - mean_squared_error: 0.0878 - val_loss: 0.0899 - val_mean_squared_error: 0.0899\n", - "Epoch 23/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.0818 - mean_squared_error: 0.0818 - val_loss: 0.0852 - val_mean_squared_error: 0.0852\n", - "Epoch 24/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.0772 - mean_squared_error: 0.0772 - val_loss: 0.0811 - val_mean_squared_error: 0.0811\n", - "Epoch 25/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.0735 - mean_squared_error: 0.0735 - val_loss: 0.0775 - val_mean_squared_error: 0.0775\n", - "Epoch 26/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 0.0695 - mean_squared_error: 0.0695 - val_loss: 0.0762 - val_mean_squared_error: 0.0762\n", - "Epoch 27/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 0.0662 - mean_squared_error: 0.0662 - val_loss: 0.0759 - val_mean_squared_error: 0.0759\n", - "Epoch 28/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 0.0630 - mean_squared_error: 0.0630 - val_loss: 0.0753 - val_mean_squared_error: 0.0753\n", - 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mean_squared_error: 0.0144 - val_loss: 0.0288 - val_mean_squared_error: 0.0288\n", - "Epoch 99/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 0.0141 - mean_squared_error: 0.0141 - val_loss: 0.0282 - val_mean_squared_error: 0.0282\n", - "Epoch 100/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 0.0137 - mean_squared_error: 0.0137 - val_loss: 0.0280 - val_mean_squared_error: 0.0280\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['mean_squared_error'])\n", - "plt.show()" - ], - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "e6465dcc-cd5e-45b4-f22f-1870a7c3444b" - }, - "execution_count": 12, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "results = model.evaluate(X_test, y_test)\n", - "#acc = model.score(X_test , y_test)\n", - "print(\"Accuracy = \", results[1])" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "zaGngPnk4cV7", - "outputId": "14d58260-778d-4843-82d5-6e5274a69a7b" - }, - "execution_count": 13, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1/1 [==============================] - 0s 20ms/step - loss: 0.0280 - mean_squared_error: 0.0280\n", - "Accuracy = 0.028001945465803146\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "loss = history.history['loss']\n", - "val_loss = history.history['val_loss']\n", - "epochs = range(1, len(loss) + 1)\n", - "plt.plot(epochs, loss, 'y', label='Training loss')\n", - "plt.plot(epochs, val_loss, 'r', label='Validation loss')\n", - "plt.title('Training and validation loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.legend()\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 295 - }, - "id": "vlQnvpPs4isJ", - "outputId": "aa1f1f96-5db6-4be4-801e-5c825b46a2b2" - }, - "execution_count": 14, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "TN3TV-YGKJFs" - }, - "execution_count": null, - "outputs": [] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_200665.ipynb b/Assignment 2/A2_200665.ipynb deleted file mode 100644 index 4e2a590..0000000 --- a/Assignment 2/A2_200665.ipynb +++ /dev/null @@ -1,3939 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "UxcaEbrCy1g_" - }, - "source": [ - "# Assigment 2: Deep Learning" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "h2JON-_Oy79w" - }, - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r6it-Rm7zD1Y" - }, - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "id": "UautPVj1yzaQ" - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "%matplotlib inline\n", - "font = {'family' : 'DejaVu Sans',\n", - " 'weight' : 'bold',\n", - " 'size' : 90}\n", - "\n", - "plt.rc('font', **font)\n", - "import seaborn as sns\n", - "# fig = plt.figure()\n", - "fig, axes = plt.subplots(nrows=1, ncols=5, figsize = (300,50))\n", - "plt.tight_layout()\n", - "i =0;\n", - "for ax in axes:\n", - " ax.plot(X_train[:,i],y_train,'g',lw=10)\n", - " ax.set_xlabel('X')\n", - " ax.set_ylabel('y')\n", - " ax.set_title('feature-'+ str(i))\n", - " i=i+1\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "font = {'family' : 'DejaVu Sans',\n", - " 'weight' : 'bold',\n", - " 'size' : 10}\n", - "\n", - "plt.rc('font', **font)\n", - "plt.scatter(X_train[:,0],y_train, label = 'feature-1')\n", - "plt.legend(loc='best')" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.scatter(X_train[:,1],y_train, label = \"feature-2\")\n", - "plt.scatter(X_train[:,2],y_train, label = \"feature-3\")\n", - "plt.scatter(X_train[:,3],y_train, label = \"feature-4\")\n", - "plt.scatter(X_train[:,4],y_train, label = \"feature-5\")\n", - "plt.legend(loc='best')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "XMXb9lTyzGHE" - }, - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "id": "r32N1xK2ziOs" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Activation,Normalization\n", - "from tensorflow.keras.optimizers import SGD,Adam\n", - "from sklearn.preprocessing import MinMaxScaler" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "MinMaxScaler()" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scaler = MinMaxScaler()\n", - "scaler.fit(X_train)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "X_test = scaler.transform(X_test)\n", - "X_train = scaler.transform(X_train)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(80, 5)" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X_train.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "y_train = np.array(y_train) " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(80, 1)" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "y_train = y_train.reshape(80,1)\n", - "y_train.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(20, 1)" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "y_test = y_test.reshape(20,1)\n", - "y_test.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "model = Sequential()\n", - "\n", - "model.add(Dense(5,activation='relu'))\n", - "\n", - "model.add(Dense(5,activation='relu'))\n", - "\n", - "model.add(Dense(5,activation='relu'))\n", - "\n", - "model.add(Dense(1))\n", - "model.compile(optimizer= SGD(learning_rate=0.002, clipnorm= 5),loss = 'mse')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/1000\n", - "1/1 [==============================] - 1s 974ms/step - loss: 11512.6826 - val_loss: 11592.3799\n", - "Epoch 2/1000\n", - "1/1 [==============================] - 0s 48ms/step - loss: 11511.9590 - val_loss: 11590.7881\n", - "Epoch 3/1000\n", - "1/1 [==============================] - 0s 51ms/step - loss: 11511.2354 - val_loss: 11589.1523\n", - "Epoch 4/1000\n", - "1/1 [==============================] - 0s 44ms/step - loss: 11510.5205 - val_loss: 11587.4395\n", - "Epoch 5/1000\n", - "1/1 [==============================] - 0s 43ms/step - loss: 11509.7705 - val_loss: 11585.6826\n", - "Epoch 6/1000\n", - "1/1 [==============================] - 0s 56ms/step - loss: 11508.9941 - val_loss: 11583.8027\n", - "Epoch 7/1000\n", - "1/1 [==============================] - 0s 61ms/step - loss: 11508.2168 - val_loss: 11581.8574\n", - "Epoch 8/1000\n", - "1/1 [==============================] - 0s 55ms/step - loss: 11507.4375 - val_loss: 11579.8467\n", - "Epoch 9/1000\n", - "1/1 [==============================] - 0s 48ms/step - loss: 11506.6592 - val_loss: 11577.7920\n", - "Epoch 10/1000\n", - "1/1 [==============================] - 0s 36ms/step - loss: 11505.8613 - val_loss: 11575.6533\n", - "Epoch 11/1000\n", - "1/1 [==============================] - 0s 40ms/step - loss: 11505.0430 - val_loss: 11573.3906\n", - "Epoch 12/1000\n", - "1/1 [==============================] - 0s 52ms/step - loss: 11504.1934 - val_loss: 11571.0439\n", - "Epoch 13/1000\n", - "1/1 [==============================] - 0s 45ms/step - loss: 11503.3105 - val_loss: 11568.6025\n", - "Epoch 14/1000\n", - "1/1 [==============================] - 0s 45ms/step - loss: 11502.4014 - val_loss: 11566.0625\n", - "Epoch 15/1000\n", - "1/1 [==============================] - 0s 46ms/step - loss: 11501.4590 - val_loss: 11563.4277\n", - "Epoch 16/1000\n", - "1/1 [==============================] - 0s 40ms/step - loss: 11500.4814 - val_loss: 11560.7041\n", - "Epoch 17/1000\n", - "1/1 [==============================] - 0s 43ms/step - loss: 11499.4688 - val_loss: 11557.8877\n", - "Epoch 18/1000\n", - "1/1 [==============================] - 0s 41ms/step - loss: 11498.4199 - val_loss: 11554.9756\n", - "Epoch 19/1000\n", - "1/1 [==============================] - 0s 50ms/step - loss: 11497.3340 - val_loss: 11551.9678\n", - "Epoch 20/1000\n", - "1/1 [==============================] - 0s 44ms/step - loss: 11496.2080 - val_loss: 11548.8613\n", - "Epoch 21/1000\n", - "1/1 [==============================] - 0s 49ms/step - loss: 11495.0400 - val_loss: 11545.6611\n", - "Epoch 22/1000\n", - "1/1 [==============================] - 0s 68ms/step - loss: 11493.8359 - val_loss: 11542.3418\n", - "Epoch 23/1000\n", - "1/1 [==============================] - 0s 52ms/step - loss: 11492.5918 - val_loss: 11538.9141\n", - "Epoch 24/1000\n", - "1/1 [==============================] - 0s 49ms/step - loss: 11491.3027 - val_loss: 11535.3750\n", - "Epoch 25/1000\n", - "1/1 [==============================] - 0s 47ms/step - loss: 11489.9707 - val_loss: 11531.7393\n", - "Epoch 26/1000\n", - "1/1 [==============================] - 0s 89ms/step - loss: 11488.5703 - val_loss: 11528.0674\n", - "Epoch 27/1000\n", - "1/1 [==============================] - 0s 49ms/step - loss: 11487.1094 - val_loss: 11524.2832\n", - "Epoch 28/1000\n", - "1/1 [==============================] - 0s 49ms/step - loss: 11485.6016 - val_loss: 11520.3604\n", - "Epoch 29/1000\n", - "1/1 [==============================] - 0s 45ms/step - loss: 11484.0430 - val_loss: 11516.3096\n", - "Epoch 30/1000\n", - "1/1 [==============================] - 0s 41ms/step - loss: 11482.4346 - val_loss: 11512.1357\n", - 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"Epoch 960/1000\n", - "1/1 [==============================] - 0s 55ms/step - loss: 442.2708 - val_loss: 58.7500\n", - "Epoch 961/1000\n", - "1/1 [==============================] - 0s 40ms/step - loss: 448.1282 - val_loss: 69.4520\n", - "Epoch 962/1000\n", - "1/1 [==============================] - 0s 47ms/step - loss: 440.0746 - val_loss: 59.4540\n", - "Epoch 963/1000\n", - "1/1 [==============================] - 0s 53ms/step - loss: 445.9187 - val_loss: 70.3206\n", - "Epoch 964/1000\n", - "1/1 [==============================] - 0s 45ms/step - loss: 437.9272 - val_loss: 60.1124\n", - "Epoch 965/1000\n", - "1/1 [==============================] - 0s 48ms/step - loss: 443.7538 - val_loss: 71.1356\n", - "Epoch 966/1000\n", - "1/1 [==============================] - 0s 44ms/step - loss: 435.8286 - val_loss: 60.7261\n", - "Epoch 967/1000\n", - "1/1 [==============================] - 0s 45ms/step - loss: 441.6326 - val_loss: 71.9034\n", - "Epoch 968/1000\n", - "1/1 [==============================] - 0s 48ms/step - loss: 433.7660 - val_loss: 61.3011\n", - "Epoch 969/1000\n", - "1/1 [==============================] - 0s 45ms/step - loss: 439.5469 - val_loss: 72.6228\n", - "Epoch 970/1000\n", - "1/1 [==============================] - 0s 46ms/step - loss: 432.1740 - val_loss: 62.3631\n", - "Epoch 971/1000\n", - "1/1 [==============================] - 0s 51ms/step - loss: 438.4732 - val_loss: 73.2658\n", - "Epoch 972/1000\n", - "1/1 [==============================] - 0s 43ms/step - loss: 430.6946 - val_loss: 63.3306\n", - "Epoch 973/1000\n", - "1/1 [==============================] - 0s 47ms/step - loss: 437.3810 - val_loss: 73.9236\n", - "Epoch 974/1000\n", - "1/1 [==============================] - 0s 39ms/step - loss: 429.2934 - val_loss: 64.2166\n", - "Epoch 975/1000\n", - "1/1 [==============================] - 0s 41ms/step - loss: 436.3304 - val_loss: 74.6934\n", - "Epoch 976/1000\n", - "1/1 [==============================] - 0s 43ms/step - loss: 428.0657 - val_loss: 65.0159\n", - "Epoch 977/1000\n", - "1/1 [==============================] - 0s 44ms/step - loss: 435.2917 - val_loss: 75.4369\n", - "Epoch 978/1000\n", - "1/1 [==============================] - 0s 45ms/step - loss: 426.8787 - val_loss: 65.7615\n", - "Epoch 979/1000\n", - "1/1 [==============================] - 0s 48ms/step - loss: 434.2560 - val_loss: 76.1569\n", - "Epoch 980/1000\n", - "1/1 [==============================] - 0s 44ms/step - loss: 425.7310 - val_loss: 66.4579\n", - "Epoch 981/1000\n", - "1/1 [==============================] - 0s 49ms/step - loss: 433.2301 - val_loss: 76.8446\n", - "Epoch 982/1000\n", - "1/1 [==============================] - 0s 40ms/step - loss: 424.6132 - val_loss: 67.1102\n", - "Epoch 983/1000\n", - "1/1 [==============================] - 0s 50ms/step - loss: 432.2053 - val_loss: 77.4954\n", - "Epoch 984/1000\n", - "1/1 [==============================] - 0s 50ms/step - loss: 423.5544 - val_loss: 67.6926\n", - "Epoch 985/1000\n", - "1/1 [==============================] - 0s 73ms/step - loss: 431.1032 - val_loss: 78.2199\n", - "Epoch 986/1000\n", - "1/1 [==============================] - 0s 45ms/step - loss: 422.5286 - val_loss: 68.2516\n", - "Epoch 987/1000\n", - "1/1 [==============================] - 0s 42ms/step - loss: 430.0292 - val_loss: 78.8907\n", - "Epoch 988/1000\n", - "1/1 [==============================] - 0s 39ms/step - loss: 421.5269 - val_loss: 68.6849\n", - "Epoch 989/1000\n", - "1/1 [==============================] - 0s 40ms/step - loss: 428.7180 - val_loss: 79.8025\n", - "Epoch 990/1000\n", - "1/1 [==============================] - 0s 46ms/step - loss: 420.6068 - val_loss: 69.1473\n", - "Epoch 991/1000\n", - "1/1 [==============================] - 0s 45ms/step - loss: 427.5222 - val_loss: 80.5371\n", - "Epoch 992/1000\n", - "1/1 [==============================] - 0s 49ms/step - loss: 419.6881 - val_loss: 69.6140\n", - "Epoch 993/1000\n", - "1/1 [==============================] - 0s 45ms/step - loss: 426.4304 - val_loss: 81.2991\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 994/1000\n", - "1/1 [==============================] - 0s 46ms/step - loss: 418.8546 - val_loss: 70.0915\n", - "Epoch 995/1000\n", - "1/1 [==============================] - 0s 47ms/step - loss: 425.4166 - val_loss: 81.9761\n", - "Epoch 996/1000\n", - "1/1 [==============================] - 0s 49ms/step - loss: 418.0380 - val_loss: 70.3661\n", - "Epoch 997/1000\n", - "1/1 [==============================] - 0s 49ms/step - loss: 424.3250 - val_loss: 82.1033\n", - "Epoch 998/1000\n", - "1/1 [==============================] - 0s 39ms/step - loss: 417.5558 - val_loss: 70.8117\n", - "Epoch 999/1000\n", - "1/1 [==============================] - 0s 42ms/step - loss: 423.3476 - val_loss: 82.8855\n", - "Epoch 1000/1000\n", - "1/1 [==============================] - 0s 55ms/step - loss: 416.8694 - val_loss: 71.2551\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.fit(x=X_train,y= y_train, validation_data=(X_test,y_test),batch_size = 128, epochs = 1000)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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lossval_loss
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111511.95898411590.788086
211511.23535211589.152344
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1000 rows × 2 columns

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" - ], - "text/plain": [ - " loss val_loss\n", - "0 11512.682617 11592.379883\n", - "1 11511.958984 11590.788086\n", - "2 11511.235352 11589.152344\n", - "3 11510.520508 11587.439453\n", - "4 11509.770508 11585.682617\n", - ".. ... ...\n", - "995 418.038025 70.366135\n", - "996 424.324951 82.103348\n", - "997 417.555756 70.811699\n", - "998 423.347565 82.885544\n", - "999 416.869446 71.255150\n", - "\n", - "[1000 rows x 2 columns]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pandas as pd\n", - "losses = pd.DataFrame(model.history.history)\n", - "losses" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1/1 [==============================] - 0s 141ms/step\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "# X_test\n", - "pred = model.predict(X_test)\n", - "plt.scatter(pred,y_test)\n", - "# plt.legend()\n", - "# df = pd.DataFrame({\"Predictions\":pred , \"y_test\":y_test})" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jmeP6vt3z0oA" - }, - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "losses.plot()\n", - "plt.title(\"model loss\")\n", - "plt.ylabel(\"loss\")\n", - "plt.xlabel(\"epoch\")\n", - "plt.legend([\"train\", \"val\"], loc=\"upper left\")" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IVrR_vXA7kOt" - }, - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "id": "-lOHpD8-7ggm" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1/1 [==============================] - 0s 31ms/step\n" - ] - }, - { - "data": { - "text/plain": [ - "0.992994487562961" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "def r2_score(y_true, y_pred):\n", - " N = np.sum(np.square(y_true-y_pred))/np.sum(np.square(y_true - np.mean(y_true)))\n", - " return 1-N\n", - "pred = model.predict(X_test)\n", - "r2_score(y_test,pred)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "CHqzF1OU0pBg" - }, - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jF8oTUqq0y0g" - }, - "source": [ - "Your text here" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "MinMaxScaler()" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scaler = MinMaxScaler()\n", - "scaler.fit(X_train)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "X_test = scaler.transform(X_test)\n", - "X_train = scaler.transform(X_train)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(8000, 5)" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X_train.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [], - "source": [ - "y_test = y_test.reshape(2000,1)\n", - "y_train = y_train.reshape(8000,1)" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "outputs": [], - "source": [ - "model = Sequential()\n", - "\n", - "model.add(Dense(5,activation='relu'))\n", - "\n", - "model.add(Dense(5,activation='relu'))\n", - "\n", - "model.add(Dense(5,activation='relu'))\n", - "\n", - "model.add(Dense(1))\n", - "model.compile(optimizer= Adam(learning_rate=0.005,clipnorm = 5) ,loss = 'mse')" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": { - "id": "aS0ROZa402Lo" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/400\n", - "63/63 [==============================] - 1s 4ms/step - loss: 13752.7393 - val_loss: 13851.0479\n", - "Epoch 2/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 13527.2803 - val_loss: 13383.8926\n", - "Epoch 3/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 12756.8477 - val_loss: 12217.2559\n", - "Epoch 4/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 11286.2520 - val_loss: 10384.8291\n", - "Epoch 5/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 9557.3037 - val_loss: 8822.7803\n", - "Epoch 6/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 8353.3125 - val_loss: 7968.1011\n", - "Epoch 7/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 7705.4365 - val_loss: 7420.9053\n", - "Epoch 8/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 7315.0176 - val_loss: 7101.5615\n", - "Epoch 9/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6992.9888 - val_loss: 6787.9189\n", - "Epoch 10/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6734.1211 - val_loss: 6642.7847\n", - "Epoch 11/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6665.8955 - val_loss: 6612.1509\n", - "Epoch 12/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6641.6064 - val_loss: 6584.2417\n", - "Epoch 13/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6610.7290 - val_loss: 6554.1553\n", - "Epoch 14/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6591.5488 - val_loss: 6525.3169\n", - "Epoch 15/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6551.1743 - val_loss: 6499.8237\n", - "Epoch 16/400\n", - "63/63 [==============================] - 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"Epoch 25/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6272.7104 - val_loss: 6218.3140\n", - "Epoch 26/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6241.6392 - val_loss: 6195.1343\n", - "Epoch 27/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6213.3262 - val_loss: 6183.4717\n", - "Epoch 28/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6186.2153 - val_loss: 6139.4214\n", - "Epoch 29/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6159.7393 - val_loss: 6110.4097\n", - "Epoch 30/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6132.6948 - val_loss: 6092.7925\n", - "Epoch 31/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6108.5977 - val_loss: 6055.8359\n", - "Epoch 32/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 6080.1406 - val_loss: 6028.7363\n", - "Epoch 33/400\n", - "63/63 [==============================] - 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"Epoch 42/400\n", - "63/63 [==============================] - 0s 4ms/step - loss: 5813.1797 - val_loss: 5767.3071\n", - "Epoch 43/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 5787.4609 - val_loss: 5740.8833\n", - "Epoch 44/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 5760.4268 - val_loss: 5715.3281\n", - "Epoch 45/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 5736.5996 - val_loss: 5692.1470\n", - "Epoch 46/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 5708.9888 - val_loss: 5673.4160\n", - "Epoch 47/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 5685.1821 - val_loss: 5642.5864\n", - "Epoch 48/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 5660.1895 - val_loss: 5613.8877\n", - "Epoch 49/400\n", - "63/63 [==============================] - 0s 3ms/step - loss: 5636.8975 - val_loss: 5596.6748\n", - "Epoch 50/400\n", - "63/63 [==============================] - 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" - ], - "text/plain": [ - " loss val_loss\n", - "0 13752.739258 13851.047852\n", - "1 13527.280273 13383.892578\n", - "2 12756.847656 12217.255859\n", - "3 11286.251953 10384.829102\n", - "4 9557.303711 8822.780273\n", - ".. ... ...\n", - "395 918.614563 913.455261\n", - "396 913.774414 906.744751\n", - "397 910.884460 901.790222\n", - "398 906.195618 895.079285\n", - "399 907.795837 891.312866\n", - "\n", - "[400 rows x 2 columns]" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "losses = pd.DataFrame(model.history.history)\n", - "losses" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "63/63 [==============================] - 0s 2ms/step\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "pred = model.predict(X_test)\n", - "plt.scatter(pred,y_test)\n", - "# plt.legend()\n", - "# df = pd.DataFrame({\"Predictions\":pred , \"y_test\":y_test})" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Plotting Loss" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 60, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "losses.plot()\n", - "plt.title(\"model loss\")\n", - "plt.ylabel(\"loss\")\n", - "plt.xlabel(\"epoch\")\n", - "plt.legend([\"train\", \"val\"], loc=\"upper left\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Evaluation" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(2000, 5)" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X_test.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.9360699543761317" - ] - }, - "execution_count": 62, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "r2_score(y_true= y_test, y_pred= pred)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "CVusingTF_Assgn2.ipynb", - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/Assignment 2/A2_200674.ipynb b/Assignment 2/A2_200674.ipynb deleted file mode 100644 index 575e2dc..0000000 --- a/Assignment 2/A2_200674.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"A2_200674.ipynb","provenance":[{"file_id":"1zWSCLqFumMw5A_X62-599emgJJRI-AUu","timestamp":1655199680364},{"file_id":"1ptX8WQ4CFpsuB3FySAo-Ofzinil-gfw_","timestamp":1655181339085}],"collapsed_sections":[]},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["# Assigment 2: Deep Learning"],"metadata":{"id":"UxcaEbrCy1g_"}},{"cell_type":"markdown","source":["## Generate Dataset\n","\n","This is the same code from Assignment 1"],"metadata":{"id":"h2JON-_Oy79w"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"hgpG3WDuypfa"},"outputs":[],"source":["from sklearn import datasets\n","from sklearn.model_selection import train_test_split\n","\n","# Generate the data\n","X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n","\n","# Split the data\n","X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n"]},{"cell_type":"code","source":["X_train.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"liEtdG3vf75u","executionInfo":{"status":"ok","timestamp":1655199261343,"user_tz":-330,"elapsed":15,"user":{"displayName":"Parul Singh","userId":"01190449131601600770"}},"outputId":"13861d5a-32b0-489b-88ce-8f3638309676"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(80, 5)"]},"metadata":{},"execution_count":3}]},{"cell_type":"markdown","source":["## Visualize Dataset\n","This is the same code from Assignment 1"],"metadata":{"id":"r6it-Rm7zD1Y"}},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","fig, axs = plt.subplots(5,figsize=(4,20))\n","fig.suptitle('Visualising Data')\n","for i in range(5):\n"," axs[i].scatter(X[:,i],y)\n","# Your code here"],"metadata":{"id":"UautPVj1yzaQ","colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"status":"ok","timestamp":1655199263195,"user_tz":-330,"elapsed":1862,"user":{"displayName":"Parul Singh","userId":"01190449131601600770"}},"outputId":"d00ec922-b7b5-41dc-eadb-662df3353fae"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["## Model Definition\n","\n","Using TensorFlow, build a model with the following definition:\n","> Input of shape 5 \\\\\n","> Dense of shape 5 \\\\\n","> Dense of shape 5 \\\\\n","> Dense of shape 1 \\\\\n","\n","Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n","\n","Use Gradient Decay with appropriate parameters"],"metadata":{"id":"XMXb9lTyzGHE"}},{"cell_type":"code","source":["import tensorflow as tf\n","\n","# inputs = tf.keras.Input(5)\n","# x = tf.keras.layers.Dense(5)(inputs)\n","# x = tf.keras.layers.Dense(5,activation='relu')(x)\n","# outputs = tf.keras.layers.Dense(1)(x)\n","# model = tf.keras.Model(inputs=inputs, outputs=outputs)\n","\n","# Alternate\n","# In sequential it is not needed to have Input Size mentioned\n","model=tf.keras.Sequential([\n"," tf.keras.layers.Dense(5,activation='relu'),\n"," tf.keras.layers.Dense(5,activation='relu'),\n"," tf.keras.layers.Dense(1)\n","])"],"metadata":{"id":"r32N1xK2ziOs"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# model.summary() # Call this if using first method"],"metadata":{"id":"viSH07oGhwh2"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["model.compile(optimizer=tf.keras.optimizers.SGD(learning_rate=0.001),loss=tf.keras.losses.MeanSquaredError(),metrics=[tf.keras.losses.MeanSquaredError()])"],"metadata":{"id":"p3v4h7ayh0aG"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["history=model.fit(X_train,y_train,validation_split=0.1,epochs=50)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"fBCX_aWfiPb4","executionInfo":{"status":"ok","timestamp":1655199274167,"user_tz":-330,"elapsed":5444,"user":{"displayName":"Parul Singh","userId":"01190449131601600770"}},"outputId":"63c29b44-2a74-4a8f-f7e1-27bf6767086f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/50\n","3/3 [==============================] - 1s 164ms/step - loss: 12151.7637 - mean_squared_error: 13688.9961 - val_loss: 5728.4336 - val_mean_squared_error: 5728.4336\n","Epoch 2/50\n","3/3 [==============================] - 0s 23ms/step - loss: 11798.6318 - mean_squared_error: 11793.2139 - val_loss: 4623.6997 - val_mean_squared_error: 4623.6997\n","Epoch 3/50\n","3/3 [==============================] - 0s 49ms/step - loss: 10025.9268 - mean_squared_error: 7975.1328 - val_loss: 1722.9556 - val_mean_squared_error: 1722.9556\n","Epoch 4/50\n","3/3 [==============================] - 0s 20ms/step - loss: 6316.1929 - mean_squared_error: 5920.7402 - val_loss: 1942.3257 - val_mean_squared_error: 1942.3257\n","Epoch 5/50\n","3/3 [==============================] - 0s 30ms/step - loss: 6526.5825 - mean_squared_error: 8165.7466 - val_loss: 1590.0300 - val_mean_squared_error: 1590.0300\n","Epoch 6/50\n","3/3 [==============================] - 0s 18ms/step - loss: 5860.3560 - mean_squared_error: 7052.0625 - val_loss: 1004.2660 - val_mean_squared_error: 1004.2660\n","Epoch 7/50\n","3/3 [==============================] - 0s 34ms/step - loss: 5567.8477 - mean_squared_error: 4586.9810 - val_loss: 940.1567 - val_mean_squared_error: 940.1567\n","Epoch 8/50\n","3/3 [==============================] - 0s 39ms/step - loss: 5493.5820 - mean_squared_error: 5517.9097 - val_loss: 889.7697 - val_mean_squared_error: 889.7697\n","Epoch 9/50\n","3/3 [==============================] - 0s 25ms/step - loss: 5455.0483 - mean_squared_error: 4794.6069 - val_loss: 965.8942 - val_mean_squared_error: 965.8942\n","Epoch 10/50\n","3/3 [==============================] - 0s 20ms/step - loss: 5314.8872 - mean_squared_error: 5871.8677 - val_loss: 793.5038 - val_mean_squared_error: 793.5038\n","Epoch 11/50\n","3/3 [==============================] - 0s 25ms/step - loss: 5084.8281 - mean_squared_error: 5899.6738 - val_loss: 682.1686 - val_mean_squared_error: 682.1686\n","Epoch 12/50\n","3/3 [==============================] - 0s 26ms/step - loss: 4826.9746 - mean_squared_error: 4273.7046 - val_loss: 646.5230 - val_mean_squared_error: 646.5230\n","Epoch 13/50\n","3/3 [==============================] - 0s 19ms/step - loss: 4687.8569 - mean_squared_error: 5211.0664 - val_loss: 472.5484 - val_mean_squared_error: 472.5484\n","Epoch 14/50\n","3/3 [==============================] - 0s 23ms/step - loss: 4102.3584 - mean_squared_error: 5432.6230 - val_loss: 313.8291 - val_mean_squared_error: 313.8291\n","Epoch 15/50\n","3/3 [==============================] - 0s 38ms/step - loss: 3593.9573 - mean_squared_error: 4155.6255 - val_loss: 318.8824 - val_mean_squared_error: 318.8824\n","Epoch 16/50\n","3/3 [==============================] - 0s 35ms/step - loss: 3292.7354 - mean_squared_error: 3624.4656 - val_loss: 1807.8447 - val_mean_squared_error: 1807.8447\n","Epoch 17/50\n","3/3 [==============================] - 0s 22ms/step - loss: 3612.9661 - mean_squared_error: 3263.9424 - val_loss: 2588.3818 - val_mean_squared_error: 2588.3818\n","Epoch 18/50\n","3/3 [==============================] - 0s 28ms/step - loss: 6458.5352 - mean_squared_error: 6254.1206 - val_loss: 211.3522 - val_mean_squared_error: 211.3522\n","Epoch 19/50\n","3/3 [==============================] - 0s 25ms/step - loss: 2137.4668 - mean_squared_error: 1823.0104 - val_loss: 1824.2581 - val_mean_squared_error: 1824.2581\n","Epoch 20/50\n","3/3 [==============================] - 0s 44ms/step - loss: 3481.4556 - mean_squared_error: 3843.1047 - val_loss: 1650.6414 - val_mean_squared_error: 1650.6414\n","Epoch 21/50\n","3/3 [==============================] - 0s 32ms/step - loss: 3545.1252 - mean_squared_error: 3141.9543 - val_loss: 116.4434 - val_mean_squared_error: 116.4434\n","Epoch 22/50\n","3/3 [==============================] - 0s 56ms/step - loss: 1791.8840 - mean_squared_error: 2348.4192 - val_loss: 134.8814 - val_mean_squared_error: 134.8814\n","Epoch 23/50\n","3/3 [==============================] - 0s 22ms/step - loss: 1698.9364 - mean_squared_error: 1444.5695 - val_loss: 618.1702 - val_mean_squared_error: 618.1702\n","Epoch 24/50\n","3/3 [==============================] - 0s 33ms/step - loss: 2026.9651 - mean_squared_error: 2041.2250 - val_loss: 19214.0430 - val_mean_squared_error: 19214.0430\n","Epoch 25/50\n","3/3 [==============================] - 0s 21ms/step - loss: 17088.6465 - mean_squared_error: 14538.7686 - val_loss: 5455.9795 - val_mean_squared_error: 5455.9795\n","Epoch 26/50\n","3/3 [==============================] - 0s 76ms/step - loss: 8427.4492 - mean_squared_error: 7740.9741 - val_loss: 5388.5298 - val_mean_squared_error: 5388.5298\n","Epoch 27/50\n","3/3 [==============================] - 0s 33ms/step - loss: 8060.3306 - mean_squared_error: 9553.5322 - val_loss: 5337.9399 - val_mean_squared_error: 5337.9399\n","Epoch 28/50\n","3/3 [==============================] - 0s 37ms/step - loss: 7765.7915 - mean_squared_error: 8265.4951 - val_loss: 5499.7754 - val_mean_squared_error: 5499.7754\n","Epoch 29/50\n","3/3 [==============================] - 0s 23ms/step - loss: 7487.7822 - mean_squared_error: 8545.7666 - val_loss: 5245.1963 - val_mean_squared_error: 5245.1963\n","Epoch 30/50\n","3/3 [==============================] - 0s 29ms/step - loss: 7279.3037 - mean_squared_error: 8316.3252 - val_loss: 5255.4062 - val_mean_squared_error: 5255.4062\n","Epoch 31/50\n","3/3 [==============================] - 0s 32ms/step - loss: 7181.3477 - mean_squared_error: 6946.0669 - val_loss: 5193.0015 - val_mean_squared_error: 5193.0015\n","Epoch 32/50\n","3/3 [==============================] - 0s 26ms/step - loss: 7058.0952 - mean_squared_error: 7250.4126 - val_loss: 5313.7554 - val_mean_squared_error: 5313.7554\n","Epoch 33/50\n","3/3 [==============================] - 0s 25ms/step - loss: 7004.5215 - mean_squared_error: 6124.4395 - val_loss: 5698.8057 - val_mean_squared_error: 5698.8057\n","Epoch 34/50\n","3/3 [==============================] - 0s 21ms/step - loss: 7004.7524 - mean_squared_error: 6472.6289 - val_loss: 5373.8916 - val_mean_squared_error: 5373.8916\n","Epoch 35/50\n","3/3 [==============================] - 0s 27ms/step - loss: 6922.8535 - mean_squared_error: 7155.3887 - val_loss: 6597.5117 - val_mean_squared_error: 6597.5117\n","Epoch 36/50\n","3/3 [==============================] - 0s 42ms/step - loss: 7116.6660 - mean_squared_error: 9077.5039 - val_loss: 5283.4473 - val_mean_squared_error: 5283.4473\n","Epoch 37/50\n","3/3 [==============================] - 0s 27ms/step - loss: 6861.1841 - mean_squared_error: 7376.7964 - val_loss: 5031.5283 - val_mean_squared_error: 5031.5283\n","Epoch 38/50\n","3/3 [==============================] - 0s 46ms/step - loss: 6813.0645 - mean_squared_error: 9494.6104 - val_loss: 4960.6274 - val_mean_squared_error: 4960.6274\n","Epoch 39/50\n","3/3 [==============================] - 0s 31ms/step - loss: 6805.1758 - mean_squared_error: 5687.5747 - val_loss: 5026.7178 - val_mean_squared_error: 5026.7178\n","Epoch 40/50\n","3/3 [==============================] - 0s 23ms/step - loss: 6793.7651 - mean_squared_error: 6195.3442 - val_loss: 5272.7168 - val_mean_squared_error: 5272.7168\n","Epoch 41/50\n","3/3 [==============================] - 0s 33ms/step - loss: 6937.8613 - mean_squared_error: 6666.8960 - val_loss: 5193.5425 - val_mean_squared_error: 5193.5425\n","Epoch 42/50\n","3/3 [==============================] - 0s 31ms/step - loss: 6745.3452 - mean_squared_error: 6646.9604 - val_loss: 4999.1455 - val_mean_squared_error: 4999.1455\n","Epoch 43/50\n","3/3 [==============================] - 0s 27ms/step - loss: 6749.1895 - mean_squared_error: 7824.1968 - val_loss: 4916.8770 - val_mean_squared_error: 4916.8770\n","Epoch 44/50\n","3/3 [==============================] - 0s 31ms/step - loss: 6678.4473 - mean_squared_error: 6777.7969 - val_loss: 4848.0195 - val_mean_squared_error: 4848.0195\n","Epoch 45/50\n","3/3 [==============================] - 0s 44ms/step - loss: 6642.9893 - mean_squared_error: 5300.8320 - val_loss: 5363.6016 - val_mean_squared_error: 5363.6016\n","Epoch 46/50\n","3/3 [==============================] - 0s 48ms/step - loss: 6670.4062 - mean_squared_error: 6755.3477 - val_loss: 4806.7949 - val_mean_squared_error: 4806.7949\n","Epoch 47/50\n","3/3 [==============================] - 0s 19ms/step - loss: 6630.8853 - mean_squared_error: 5750.3110 - val_loss: 4957.9268 - val_mean_squared_error: 4957.9268\n","Epoch 48/50\n","3/3 [==============================] - 0s 25ms/step - loss: 6590.0176 - mean_squared_error: 5857.2500 - val_loss: 5326.1318 - val_mean_squared_error: 5326.1318\n","Epoch 49/50\n","3/3 [==============================] - 0s 20ms/step - loss: 6637.0762 - mean_squared_error: 5746.3022 - val_loss: 4770.4795 - val_mean_squared_error: 4770.4795\n","Epoch 50/50\n","3/3 [==============================] - 0s 34ms/step - loss: 6505.5229 - mean_squared_error: 5396.3862 - val_loss: 4705.7734 - val_mean_squared_error: 4705.7734\n"]}]},{"cell_type":"markdown","source":["## Plot Loss\n","\n","Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations."],"metadata":{"id":"jmeP6vt3z0oA"}},{"cell_type":"code","source":["plt.plot(history.history['loss'])\n","plt.plot(history.history['val_loss'])\n","plt.title('model loss')\n","plt.ylabel('loss')\n","plt.xlabel('epoch')\n","plt.legend(['train', 'validation'], loc='upper left')\n","plt.show()\n"],"metadata":{"id":"RQTNqPHm0mOi","colab":{"base_uri":"https://localhost:8080/","height":295},"executionInfo":{"status":"ok","timestamp":1655199275289,"user_tz":-330,"elapsed":1164,"user":{"displayName":"Parul Singh","userId":"01190449131601600770"}},"outputId":"2a7d5d73-19ca-4e85-c876-a58171d9d841"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["
"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["## Evaluation Metrics\n","Use the R2 Score function implemented in the first assignment to evaluate the performance of the model."],"metadata":{"id":"IVrR_vXA7kOt"}},{"cell_type":"code","source":["# Insert the function for R2 Score\n","predictions=model.predict(X_test)\n","from sklearn.metrics import r2_score\n","accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n","print(\"Accuracy:\", accu)"],"metadata":{"id":"-lOHpD8-7ggm","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1655199275291,"user_tz":-330,"elapsed":44,"user":{"displayName":"Parul Singh","userId":"01190449131601600770"}},"outputId":"a0fb33ba-3c9f-4e64-b0b7-8439269a0bfc"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy: 0.19732762160930106\n"]}]},{"cell_type":"markdown","source":["## Your own custom model\n","Build a custom model of your own choice.
\n","Describe it in detail in Markdown/Latex in the cell below.
\n","Visualise the loss, as before."],"metadata":{"id":"CHqzF1OU0pBg"}},{"cell_type":"markdown","source":["Your text here"],"metadata":{"id":"jF8oTUqq0y0g"}},{"cell_type":"code","source":["# Your code here"],"metadata":{"id":"1XOk5hJu0oSQ"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# inputs = tf.keras.Input(5)\n","# x = tf.keras.layers.Dense(5)(inputs)\n","# x = tf.keras.layers.Dense(5,activation='relu')(x)\n","# outputs = tf.keras.layers.Dense(1)(x)\n","# modelCustom = tf.keras.Model(inputs=inputs, outputs=outputs)\n","# modelCustom.summary()"],"metadata":{"id":"aS0ROZa402Lo"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# modelCustom.compile(optimizer=tf.keras.optimizers.SGD(learning_rate=0.001),loss=tf.keras.losses.MeanSquaredError(),metrics=[tf.keras.losses.MeanSquaredError()])"],"metadata":{"id":"KHzJ_XHKlwh7"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# historyCustom=model.fit(X_train,y_train,validation_split=0.1,epochs=50)"],"metadata":{"id":"KCVgy_sBl8mD"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# plt.plot(historyCustom.history['loss'])\n","# plt.plot(historyCustom.history['val_loss'])\n","# plt.title('model loss')\n","# plt.ylabel('loss')\n","# plt.xlabel('epoch')\n","# plt.legend(['train', 'validation'], loc='upper left')\n","# plt.show()"],"metadata":{"id":"FS2-gkjXl_US"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# predictions=modelCustom.predict(X_test)\n","# from sklearn.metrics import r2_score\n","# accu = r2_score(y_test,predictions) # Pass appropriate parts of dataset\n","# print(\"Accuracy:\", accu)"],"metadata":{"id":"d3XJn4xAmESS"},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/Assignment 2/A2_200698.ipynb b/Assignment 2/A2_200698.ipynb deleted file mode 100644 index d7e2774..0000000 --- a/Assignment 2/A2_200698.ipynb +++ /dev/null @@ -1,906 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "UxcaEbrCy1g_" - }, - "source": [ - "# Assigment 2: Deep Learning" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "h2JON-_Oy79w" - }, - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 476, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r6it-Rm7zD1Y" - }, - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 477, - "metadata": { - "id": "UautPVj1yzaQ" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 477, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code here\n", - "plt.rcParams[\"figure.figsize\"] = (10,10)\n", - "plt.scatter(X[:,0],y)\n", - "plt.scatter(X[:,1],y)\n", - "plt.scatter(X[:,2],y)\n", - "plt.scatter(X[:,3],y)\n", - "plt.scatter(X[:,4],y)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "XMXb9lTyzGHE" - }, - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 478, - "metadata": { - "id": "r32N1xK2ziOs" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "\n", - "# Your code here" - ] - }, - { - "cell_type": "code", - "execution_count": 479, - "metadata": {}, - "outputs": [], - "source": [ - "model = tf.keras.Sequential([\n", - " tf.keras.layers.Input(shape=(5,)),\n", - " tf.keras.layers.Dense(5, activation='relu'),\n", - " tf.keras.layers.Dense(5, activation='relu'),\n", - " tf.keras.layers.Dense(1)\n", - "])" - ] - }, - { - "cell_type": "code", - "execution_count": 480, - "metadata": {}, - "outputs": [], - "source": [ - "opt = tf.keras.optimizers.SGD(learning_rate=0.001,decay=0.1)\n", - "# opt = tf.keras.optimizers.RMSprop()\n", - "model.compile(opt,loss='mse',metrics='mse')" - ] - }, - { - "cell_type": "code", - "execution_count": 481, - "metadata": {}, - "outputs": [], - "source": [ - "# Splitting data into train and validation data\n", - "X_train_data, X_train_validation, y_train_data, y_train_validation = train_test_split(X_train, y_train, test_size=0.2, random_state=69)" - ] - }, - { - "cell_type": "code", - "execution_count": 482, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/100\n", - "200/200 [==============================] - 1s 2ms/step - loss: 2440.5205 - mse: 2440.5205 - val_loss: 125.9075 - val_mse: 125.9075\n", - "Epoch 2/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 83.1356 - mse: 83.1356 - val_loss: 62.6759 - val_mse: 62.6759\n", - "Epoch 3/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 49.0916 - mse: 49.0916 - val_loss: 45.3941 - val_mse: 45.3941\n", - "Epoch 4/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 38.3779 - mse: 38.3779 - val_loss: 38.2120 - val_mse: 38.2120\n", - "Epoch 5/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 33.8262 - mse: 33.8262 - val_loss: 34.7110 - val_mse: 34.7110\n", - "Epoch 6/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 31.4967 - mse: 31.4967 - val_loss: 32.8231 - val_mse: 32.8231\n", - "Epoch 7/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 30.1997 - mse: 30.1997 - val_loss: 31.6434 - val_mse: 31.6434\n", - "Epoch 8/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 29.3647 - mse: 29.3647 - val_loss: 30.9356 - val_mse: 30.9356\n", - "Epoch 9/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 28.7994 - mse: 28.7994 - val_loss: 30.3108 - val_mse: 30.3108\n", - "Epoch 10/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 28.4035 - mse: 28.4035 - val_loss: 29.9219 - val_mse: 29.9219\n", - "Epoch 11/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 28.0972 - mse: 28.0972 - val_loss: 29.6043 - val_mse: 29.6043\n", - "Epoch 12/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 27.8630 - mse: 27.8630 - val_loss: 29.4006 - val_mse: 29.4006\n", - "Epoch 13/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 27.6774 - mse: 27.6774 - val_loss: 29.1794 - val_mse: 29.1794\n", - "Epoch 14/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 27.5229 - mse: 27.5229 - val_loss: 29.0380 - val_mse: 29.0380\n", - "Epoch 15/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 27.3986 - mse: 27.3986 - val_loss: 28.8810 - val_mse: 28.8810\n", - "Epoch 16/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 27.2895 - mse: 27.2895 - val_loss: 28.7657 - val_mse: 28.7657\n", - "Epoch 17/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 27.1967 - mse: 27.1967 - val_loss: 28.6637 - val_mse: 28.6637\n", - "Epoch 18/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 27.1143 - mse: 27.1143 - val_loss: 28.5751 - val_mse: 28.5751\n", - "Epoch 19/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 27.0428 - mse: 27.0428 - val_loss: 28.5028 - val_mse: 28.5028\n", - "Epoch 20/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.9822 - mse: 26.9822 - val_loss: 28.4314 - val_mse: 28.4314\n", - "Epoch 21/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.9263 - mse: 26.9263 - val_loss: 28.3664 - val_mse: 28.3664\n", - "Epoch 22/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.8733 - mse: 26.8733 - val_loss: 28.2973 - val_mse: 28.2973\n", - "Epoch 23/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.8272 - mse: 26.8272 - val_loss: 28.2481 - val_mse: 28.2481\n", - "Epoch 24/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.7844 - mse: 26.7844 - val_loss: 28.2006 - val_mse: 28.2006\n", - "Epoch 25/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.7447 - mse: 26.7447 - val_loss: 28.1562 - val_mse: 28.1562\n", - "Epoch 26/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.7060 - mse: 26.7060 - val_loss: 28.1102 - val_mse: 28.1102\n", - "Epoch 27/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.6732 - mse: 26.6732 - val_loss: 28.0799 - val_mse: 28.0799\n", - "Epoch 28/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.6409 - mse: 26.6409 - val_loss: 28.0342 - val_mse: 28.0342\n", - "Epoch 29/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.6110 - mse: 26.6110 - val_loss: 28.0017 - val_mse: 28.0017\n", - "Epoch 30/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.5821 - mse: 26.5821 - val_loss: 27.9702 - val_mse: 27.9702\n", - "Epoch 31/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.5555 - mse: 26.5555 - val_loss: 27.9381 - val_mse: 27.9381\n", - "Epoch 32/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.5315 - mse: 26.5315 - val_loss: 27.9048 - val_mse: 27.9048\n", - "Epoch 33/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.5066 - mse: 26.5066 - val_loss: 27.8802 - val_mse: 27.8802\n", - "Epoch 34/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.4844 - mse: 26.4844 - val_loss: 27.8516 - val_mse: 27.8516\n", - "Epoch 35/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.4624 - mse: 26.4624 - val_loss: 27.8274 - val_mse: 27.8274\n", - "Epoch 36/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.4421 - mse: 26.4421 - val_loss: 27.8005 - val_mse: 27.8005\n", - "Epoch 37/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.4218 - mse: 26.4218 - val_loss: 27.7795 - val_mse: 27.7795\n", - "Epoch 38/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.4029 - mse: 26.4029 - val_loss: 27.7571 - val_mse: 27.7571\n", - "Epoch 39/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.3847 - mse: 26.3847 - val_loss: 27.7373 - val_mse: 27.7373\n", - "Epoch 40/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.3659 - mse: 26.3659 - val_loss: 27.7116 - val_mse: 27.7116\n", - "Epoch 41/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.3493 - mse: 26.3493 - val_loss: 27.6906 - val_mse: 27.6906\n", - "Epoch 42/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.3336 - mse: 26.3336 - val_loss: 27.6714 - val_mse: 27.6714\n", - "Epoch 43/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.3171 - mse: 26.3171 - val_loss: 27.6540 - val_mse: 27.6540\n", - "Epoch 44/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.3017 - mse: 26.3017 - val_loss: 27.6387 - val_mse: 27.6387\n", - "Epoch 45/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.2868 - mse: 26.2868 - val_loss: 27.6239 - val_mse: 27.6239\n", - "Epoch 46/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.2743 - mse: 26.2743 - val_loss: 27.6066 - val_mse: 27.6066\n", - "Epoch 47/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.2591 - mse: 26.2591 - val_loss: 27.5925 - val_mse: 27.5925\n", - "Epoch 48/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.2463 - mse: 26.2463 - val_loss: 27.5760 - val_mse: 27.5760\n", - "Epoch 49/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.2326 - mse: 26.2326 - val_loss: 27.5604 - val_mse: 27.5604\n", - "Epoch 50/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.2201 - mse: 26.2201 - val_loss: 27.5454 - val_mse: 27.5454\n", - "Epoch 51/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.2075 - mse: 26.2075 - val_loss: 27.5307 - val_mse: 27.5307\n", - "Epoch 52/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.1956 - mse: 26.1956 - val_loss: 27.5175 - val_mse: 27.5175\n", - "Epoch 53/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.1838 - mse: 26.1838 - val_loss: 27.5045 - val_mse: 27.5045\n", - "Epoch 54/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.1722 - mse: 26.1722 - val_loss: 27.4906 - val_mse: 27.4906\n", - "Epoch 55/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.1614 - mse: 26.1614 - val_loss: 27.4785 - val_mse: 27.4785\n", - "Epoch 56/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 26.1505 - mse: 26.1505 - val_loss: 27.4654 - val_mse: 27.4654\n", - "Epoch 57/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.1401 - mse: 26.1401 - val_loss: 27.4543 - val_mse: 27.4543\n", - "Epoch 58/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.1295 - mse: 26.1295 - val_loss: 27.4426 - val_mse: 27.4426\n", - "Epoch 59/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.1197 - mse: 26.1197 - val_loss: 27.4301 - val_mse: 27.4301\n", - "Epoch 60/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.1098 - mse: 26.1098 - val_loss: 27.4188 - val_mse: 27.4188\n", - "Epoch 61/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.1006 - mse: 26.1006 - val_loss: 27.4075 - val_mse: 27.4075\n", - "Epoch 62/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.0910 - mse: 26.0910 - val_loss: 27.3967 - val_mse: 27.3967\n", - "Epoch 63/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.0821 - mse: 26.0821 - val_loss: 27.3863 - val_mse: 27.3863\n", - "Epoch 64/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.0726 - mse: 26.0726 - val_loss: 27.3763 - val_mse: 27.3763\n", - "Epoch 65/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.0644 - mse: 26.0644 - val_loss: 27.3664 - val_mse: 27.3664\n", - "Epoch 66/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.0559 - mse: 26.0559 - val_loss: 27.3553 - val_mse: 27.3553\n", - "Epoch 67/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.0473 - mse: 26.0473 - val_loss: 27.3456 - val_mse: 27.3456\n", - "Epoch 68/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.0389 - mse: 26.0389 - val_loss: 27.3362 - val_mse: 27.3362\n", - "Epoch 69/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.0311 - mse: 26.0311 - val_loss: 27.3265 - val_mse: 27.3265\n", - "Epoch 70/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.0233 - mse: 26.0233 - val_loss: 27.3167 - val_mse: 27.3167\n", - "Epoch 71/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.0156 - mse: 26.0156 - val_loss: 27.3081 - val_mse: 27.3081\n", - "Epoch 72/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.0081 - mse: 26.0081 - val_loss: 27.3013 - val_mse: 27.3013\n", - "Epoch 73/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.0009 - mse: 26.0009 - val_loss: 27.2927 - val_mse: 27.2927\n", - "Epoch 74/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9938 - mse: 25.9938 - val_loss: 27.2833 - val_mse: 27.2833\n", - "Epoch 75/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9869 - mse: 25.9869 - val_loss: 27.2757 - val_mse: 27.2757\n", - "Epoch 76/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9794 - mse: 25.9794 - val_loss: 27.2672 - val_mse: 27.2672\n", - "Epoch 77/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9731 - mse: 25.9731 - val_loss: 27.2589 - val_mse: 27.2589\n", - "Epoch 78/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9666 - mse: 25.9666 - val_loss: 27.2510 - val_mse: 27.2510\n", - "Epoch 79/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9599 - mse: 25.9599 - val_loss: 27.2423 - val_mse: 27.2423\n", - "Epoch 80/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9533 - mse: 25.9533 - val_loss: 27.2344 - val_mse: 27.2344\n", - "Epoch 81/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9471 - mse: 25.9471 - val_loss: 27.2264 - val_mse: 27.2264\n", - "Epoch 82/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9413 - mse: 25.9413 - val_loss: 27.2192 - val_mse: 27.2192\n", - "Epoch 83/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9346 - mse: 25.9346 - val_loss: 27.2125 - val_mse: 27.2125\n", - "Epoch 84/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9285 - mse: 25.9285 - val_loss: 27.2052 - val_mse: 27.2052\n", - "Epoch 85/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9229 - mse: 25.9229 - val_loss: 27.1980 - val_mse: 27.1980\n", - "Epoch 86/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9174 - mse: 25.9174 - val_loss: 27.1911 - val_mse: 27.1911\n", - "Epoch 87/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9115 - mse: 25.9115 - val_loss: 27.1845 - val_mse: 27.1845\n", - "Epoch 88/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9060 - mse: 25.9060 - val_loss: 27.1782 - val_mse: 27.1782\n", - "Epoch 89/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9001 - mse: 25.9001 - val_loss: 27.1709 - val_mse: 27.1709\n", - "Epoch 90/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.8947 - mse: 25.8947 - val_loss: 27.1645 - val_mse: 27.1645\n", - "Epoch 91/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.8896 - mse: 25.8896 - val_loss: 27.1581 - val_mse: 27.1581\n", - "Epoch 92/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.8842 - mse: 25.8842 - val_loss: 27.1529 - val_mse: 27.1529\n", - "Epoch 93/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.8793 - mse: 25.8793 - val_loss: 27.1473 - val_mse: 27.1473\n", - "Epoch 94/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.8744 - mse: 25.8744 - val_loss: 27.1417 - val_mse: 27.1417\n", - "Epoch 95/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.8694 - mse: 25.8694 - val_loss: 27.1355 - val_mse: 27.1355\n", - "Epoch 96/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.8643 - mse: 25.8643 - val_loss: 27.1301 - val_mse: 27.1301\n", - "Epoch 97/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.8595 - mse: 25.8595 - val_loss: 27.1244 - val_mse: 27.1244\n", - "Epoch 98/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.8545 - mse: 25.8545 - val_loss: 27.1184 - val_mse: 27.1184\n", - "Epoch 99/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.8499 - mse: 25.8499 - val_loss: 27.1130 - val_mse: 27.1130\n", - "Epoch 100/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.8452 - mse: 25.8452 - val_loss: 27.1080 - val_mse: 27.1080\n" - ] - } - ], - "source": [ - "versions = model.fit(X_train_data,y_train_data,validation_data=(X_train_validation,y_train_validation),epochs=100)" - ] - }, - { - "cell_type": "code", - "execution_count": 483, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "MSE: 26.513765335083008\n" - ] - } - ], - "source": [ - "test_loss, test_mse = model.evaluate(X_test,y_test, verbose=3)\n", - "\n", - "print('\\nMSE:', test_mse)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jmeP6vt3z0oA" - }, - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ] - }, - { - "cell_type": "code", - "execution_count": 484, - "metadata": { - "id": "RQTNqPHm0mOi" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 484, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import pandas as pd\n", - "# Your code here\n", - "versions_df = pd.DataFrame(versions.history)\n", - "versions_df.describe()\n", - "versions_df.loc[:,['mse', 'val_mse']].plot()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IVrR_vXA7kOt" - }, - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ] - }, - { - "cell_type": "code", - "execution_count": 485, - "metadata": { - "id": "-lOHpD8-7ggm" - }, - "outputs": [], - "source": [ - "# Insert the function for R2 Score\n", - "import numpy as np\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " sum_square_regression = np.sum(np.dot(y_true-y_pred,y_true-y_pred))\n", - " total_sum_squares = np.sum(np.dot(y_true-np.mean(y_true),y_true-np.mean(y_true)))\n", - " return 1 - sum_square_regression/total_sum_squares\n", - " # pass # Uncomment this when you're done with this function" - ] - }, - { - "cell_type": "code", - "execution_count": 486, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.9980982811892871\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 486, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "y_pred = model.predict(X_test,verbose=3)\n", - "y_pred = np.squeeze(y_pred)\n", - "print(r2_score(y_test,y_pred))\n", - "plt.rcParams[\"figure.figsize\"] = (10,10)\n", - "plt.scatter(X_test[:,0],y_pred)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "CHqzF1OU0pBg" - }, - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jF8oTUqq0y0g" - }, - "source": [ - "Your text here" - ] - }, - { - "cell_type": "code", - "execution_count": 487, - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "outputs": [], - "source": [ - "# Your code here\n", - "model1 = tf.keras.Sequential([\n", - " tf.keras.layers.Input(shape=(5,)),\n", - " tf.keras.layers.Dense(3, activation='relu'),\n", - " tf.keras.layers.Dense(1)\n", - "])" - ] - }, - { - "cell_type": "code", - "execution_count": 488, - "metadata": { - "id": "aS0ROZa402Lo" - }, - "outputs": [], - "source": [ - "model1.compile(optimizer='adam',loss='mse',metrics='mse')" - ] - }, - { - "cell_type": "code", - "execution_count": 489, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/100\n", - "200/200 [==============================] - 1s 2ms/step - loss: 13840.1172 - mse: 13840.1172 - val_loss: 13524.0000 - val_mse: 13524.0000\n", - "Epoch 2/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 13687.1973 - mse: 13687.1973 - val_loss: 13352.5820 - val_mse: 13352.5820\n", - "Epoch 3/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 13474.3613 - mse: 13474.3613 - val_loss: 13104.5859 - val_mse: 13104.5859\n", - "Epoch 4/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 13185.0664 - mse: 13185.0664 - val_loss: 12785.2529 - val_mse: 12785.2529\n", - "Epoch 5/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 12830.8779 - mse: 12830.8779 - val_loss: 12404.9346 - val_mse: 12404.9346\n", - "Epoch 6/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 12421.9922 - mse: 12421.9922 - val_loss: 11975.1084 - val_mse: 11975.1084\n", - "Epoch 7/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 11962.5391 - mse: 11962.5391 - val_loss: 11501.2988 - val_mse: 11501.2988\n", - "Epoch 8/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 11460.6133 - mse: 11460.6133 - val_loss: 10988.3613 - val_mse: 10988.3613\n", - "Epoch 9/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 10925.2588 - mse: 10925.2588 - val_loss: 10444.8535 - val_mse: 10444.8535\n", - "Epoch 10/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 10364.3545 - mse: 10364.3545 - val_loss: 9881.4756 - val_mse: 9881.4756\n", - "Epoch 11/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 9783.4814 - mse: 9783.4814 - val_loss: 9300.1133 - val_mse: 9300.1133\n", - "Epoch 12/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 9188.4902 - mse: 9188.4902 - val_loss: 8711.4570 - val_mse: 8711.4570\n", - "Epoch 13/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 8586.0615 - mse: 8586.0615 - val_loss: 8115.1475 - val_mse: 8115.1475\n", - "Epoch 14/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7982.0117 - mse: 7982.0117 - val_loss: 7523.6743 - val_mse: 7523.6743\n", - "Epoch 15/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 7382.8745 - mse: 7382.8745 - val_loss: 6936.0264 - val_mse: 6936.0264\n", - "Epoch 16/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 6792.1421 - mse: 6792.1421 - val_loss: 6359.7388 - val_mse: 6359.7388\n", - "Epoch 17/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 6214.6719 - mse: 6214.6719 - val_loss: 5799.7231 - val_mse: 5799.7231\n", - "Epoch 18/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 5654.0098 - mse: 5654.0098 - val_loss: 5259.4482 - val_mse: 5259.4482\n", - "Epoch 19/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 5114.4399 - mse: 5114.4399 - val_loss: 4739.8965 - val_mse: 4739.8965\n", - "Epoch 20/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 4599.0430 - mse: 4599.0430 - val_loss: 4245.8823 - val_mse: 4245.8823\n", - "Epoch 21/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 4109.3296 - mse: 4109.3296 - val_loss: 3780.7100 - val_mse: 3780.7100\n", - "Epoch 22/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 3648.1357 - mse: 3648.1357 - val_loss: 3342.4595 - val_mse: 3342.4595\n", - "Epoch 23/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 3217.1318 - mse: 3217.1318 - val_loss: 2936.8457 - val_mse: 2936.8457\n", - "Epoch 24/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 2818.3367 - mse: 2818.3367 - val_loss: 2562.5764 - val_mse: 2562.5764\n", - "Epoch 25/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 2452.7124 - mse: 2452.7124 - val_loss: 2219.6321 - val_mse: 2219.6321\n", - "Epoch 26/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 2120.3643 - mse: 2120.3643 - val_loss: 1911.0469 - val_mse: 1911.0469\n", - "Epoch 27/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 1821.3953 - mse: 1821.3953 - val_loss: 1637.6531 - val_mse: 1637.6531\n", - "Epoch 28/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 1556.1570 - mse: 1556.1570 - val_loss: 1395.4081 - val_mse: 1395.4081\n", - "Epoch 29/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 1323.6229 - mse: 1323.6229 - val_loss: 1184.5981 - val_mse: 1184.5981\n", - "Epoch 30/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 1121.9323 - mse: 1121.9323 - val_loss: 1004.9005 - val_mse: 1004.9005\n", - "Epoch 31/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 949.4058 - mse: 949.4058 - val_loss: 850.7897 - val_mse: 850.7897\n", - "Epoch 32/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 804.3069 - mse: 804.3069 - val_loss: 723.7980 - val_mse: 723.7980\n", - "Epoch 33/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 684.7090 - mse: 684.7090 - val_loss: 620.0439 - val_mse: 620.0439\n", - "Epoch 34/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 587.2536 - mse: 587.2536 - val_loss: 537.5434 - val_mse: 537.5434\n", - "Epoch 35/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 509.8638 - mse: 509.8638 - val_loss: 472.5410 - val_mse: 472.5410\n", - "Epoch 36/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 449.9639 - mse: 449.9639 - val_loss: 423.4788 - val_mse: 423.4788\n", - "Epoch 37/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 404.6838 - mse: 404.6838 - val_loss: 387.0443 - val_mse: 387.0443\n", - "Epoch 38/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 371.6767 - mse: 371.6767 - val_loss: 361.2657 - val_mse: 361.2657\n", - "Epoch 39/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 348.3344 - mse: 348.3344 - val_loss: 343.7689 - val_mse: 343.7689\n", - "Epoch 40/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 332.6844 - mse: 332.6844 - val_loss: 332.2873 - val_mse: 332.2873\n", - "Epoch 41/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 322.4550 - mse: 322.4550 - val_loss: 325.1962 - val_mse: 325.1962\n", - "Epoch 42/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 315.9606 - mse: 315.9606 - val_loss: 320.8064 - val_mse: 320.8064\n", - "Epoch 43/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 312.0205 - mse: 312.0205 - val_loss: 318.2467 - val_mse: 318.2467\n", - "Epoch 44/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 309.7753 - mse: 309.7753 - val_loss: 316.8010 - val_mse: 316.8010\n", - "Epoch 45/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 308.2532 - mse: 308.2532 - val_loss: 315.9306 - val_mse: 315.9306\n", - "Epoch 46/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 307.2604 - mse: 307.2604 - val_loss: 315.2415 - val_mse: 315.2415\n", - "Epoch 47/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 306.5775 - mse: 306.5775 - val_loss: 314.8167 - val_mse: 314.8167\n", - "Epoch 48/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 306.0540 - mse: 306.0540 - val_loss: 313.9767 - val_mse: 313.9767\n", - "Epoch 49/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 305.4696 - mse: 305.4696 - val_loss: 313.3174 - val_mse: 313.3174\n", - "Epoch 50/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 304.8011 - mse: 304.8011 - val_loss: 312.6166 - val_mse: 312.6166\n", - "Epoch 51/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 304.1425 - mse: 304.1425 - val_loss: 311.8086 - val_mse: 311.8086\n", - "Epoch 52/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 303.3139 - mse: 303.3139 - val_loss: 310.9091 - val_mse: 310.9091\n", - "Epoch 53/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 302.4571 - mse: 302.4571 - val_loss: 309.9197 - val_mse: 309.9197\n", - "Epoch 54/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 301.4280 - mse: 301.4280 - val_loss: 308.8762 - val_mse: 308.8762\n", - "Epoch 55/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 300.3832 - mse: 300.3832 - val_loss: 307.7915 - val_mse: 307.7915\n", - "Epoch 56/100\n", - "200/200 [==============================] - 0s 1ms/step - loss: 299.2976 - mse: 299.2976 - val_loss: 306.6476 - val_mse: 306.6476\n", - "Epoch 57/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 298.0975 - mse: 298.0975 - val_loss: 305.5288 - val_mse: 305.5288\n", - "Epoch 58/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 296.8889 - mse: 296.8889 - val_loss: 304.3912 - val_mse: 304.3912\n", - "Epoch 59/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 295.5503 - mse: 295.5503 - val_loss: 302.9397 - val_mse: 302.9397\n", - "Epoch 60/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 294.0406 - mse: 294.0406 - val_loss: 301.3757 - val_mse: 301.3757\n", - "Epoch 61/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 292.4047 - mse: 292.4047 - val_loss: 299.7807 - val_mse: 299.7807\n", - "Epoch 62/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 290.7439 - mse: 290.7439 - val_loss: 298.0085 - val_mse: 298.0085\n", - "Epoch 63/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 288.9733 - mse: 288.9733 - val_loss: 295.9718 - val_mse: 295.9718\n", - "Epoch 64/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 286.9546 - mse: 286.9546 - val_loss: 293.9620 - val_mse: 293.9620\n", - "Epoch 65/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 284.9402 - mse: 284.9402 - val_loss: 291.8674 - val_mse: 291.8674\n", - "Epoch 66/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 282.6141 - mse: 282.6141 - val_loss: 289.6667 - val_mse: 289.6667\n", - "Epoch 67/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 280.3316 - mse: 280.3316 - val_loss: 287.3658 - val_mse: 287.3658\n", - "Epoch 68/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 277.9230 - mse: 277.9230 - val_loss: 284.8383 - val_mse: 284.8383\n", - "Epoch 69/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 275.3292 - mse: 275.3292 - val_loss: 282.3023 - val_mse: 282.3023\n", - "Epoch 70/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 272.6481 - mse: 272.6481 - val_loss: 279.4322 - val_mse: 279.4322\n", - "Epoch 71/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 269.8446 - mse: 269.8446 - val_loss: 276.6945 - val_mse: 276.6945\n", - "Epoch 72/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 266.9060 - mse: 266.9060 - val_loss: 273.4949 - val_mse: 273.4949\n", - "Epoch 73/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 263.6472 - mse: 263.6472 - val_loss: 270.0634 - val_mse: 270.0634\n", - "Epoch 74/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 260.2693 - mse: 260.2693 - val_loss: 266.6300 - val_mse: 266.6300\n", - "Epoch 75/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 256.6523 - mse: 256.6523 - val_loss: 262.6270 - val_mse: 262.6270\n", - "Epoch 76/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 253.0433 - mse: 253.0433 - val_loss: 258.7576 - val_mse: 258.7576\n", - "Epoch 77/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 249.2506 - mse: 249.2506 - val_loss: 254.3023 - val_mse: 254.3023\n", - "Epoch 78/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 245.2710 - mse: 245.2710 - val_loss: 249.7953 - val_mse: 249.7953\n", - "Epoch 79/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 241.0714 - mse: 241.0714 - val_loss: 244.8505 - val_mse: 244.8505\n", - "Epoch 80/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 236.7003 - mse: 236.7003 - val_loss: 239.8996 - val_mse: 239.8996\n", - "Epoch 81/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 232.0376 - mse: 232.0376 - val_loss: 234.6491 - val_mse: 234.6491\n", - "Epoch 82/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 227.3054 - mse: 227.3054 - val_loss: 228.9845 - val_mse: 228.9845\n", - "Epoch 83/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 222.3342 - mse: 222.3342 - val_loss: 223.5765 - val_mse: 223.5765\n", - "Epoch 84/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 217.2460 - mse: 217.2460 - val_loss: 217.7940 - val_mse: 217.7940\n", - "Epoch 85/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 212.0432 - mse: 212.0432 - val_loss: 212.2278 - val_mse: 212.2278\n", - "Epoch 86/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 206.5847 - mse: 206.5847 - val_loss: 206.6894 - val_mse: 206.6894\n", - "Epoch 87/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 201.2125 - mse: 201.2125 - val_loss: 200.9549 - val_mse: 200.9549\n", - "Epoch 88/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 195.6108 - mse: 195.6108 - val_loss: 195.0972 - val_mse: 195.0972\n", - "Epoch 89/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 190.0223 - mse: 190.0223 - val_loss: 189.3820 - val_mse: 189.3820\n", - "Epoch 90/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 184.3667 - mse: 184.3667 - val_loss: 183.5707 - val_mse: 183.5707\n", - "Epoch 91/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 178.7195 - mse: 178.7195 - val_loss: 177.6344 - val_mse: 177.6344\n", - "Epoch 92/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 172.9765 - mse: 172.9765 - val_loss: 171.8029 - val_mse: 171.8029\n", - "Epoch 93/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 167.3578 - mse: 167.3578 - val_loss: 166.0954 - val_mse: 166.0954\n", - "Epoch 94/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 161.8698 - mse: 161.8698 - val_loss: 160.4732 - val_mse: 160.4732\n", - "Epoch 95/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 156.5269 - mse: 156.5269 - val_loss: 154.9939 - val_mse: 154.9939\n", - "Epoch 96/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 151.2461 - mse: 151.2461 - val_loss: 149.4369 - val_mse: 149.4369\n", - "Epoch 97/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 145.9336 - mse: 145.9336 - val_loss: 144.2318 - val_mse: 144.2318\n", - "Epoch 98/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 140.8671 - mse: 140.8671 - val_loss: 139.0864 - val_mse: 139.0864\n", - "Epoch 99/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 135.8467 - mse: 135.8467 - val_loss: 133.9032 - val_mse: 133.9032\n", - "Epoch 100/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 130.8657 - mse: 130.8657 - val_loss: 129.0658 - val_mse: 129.0658\n" - ] - } - ], - "source": [ - "versions1 = model1.fit(X_train_data,y_train_data,validation_data=(X_train_validation,y_train_validation),epochs=100)" - ] - }, - { - "cell_type": "code", - "execution_count": 490, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "MSE: 135.0410919189453\n" - ] - } - ], - "source": [ - "test_loss1, test_mse1 = model1.evaluate(X_test,y_test, verbose=3)\n", - "\n", - "print('\\nMSE:', test_mse1)" - ] - }, - { - "cell_type": "code", - "execution_count": 491, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 491, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import pandas as pd\n", - "# Your code here\n", - "versions_df1 = pd.DataFrame(versions1.history)\n", - "versions_df1.describe()\n", - "versions_df1.loc[:,['mse', 'val_mse']].plot()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 492, - "metadata": {}, - "outputs": [], - "source": [ - "# Insert the function for R2 Score\n", - "import numpy as np\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " sum_square_regression = np.sum(np.dot(y_true-y_pred,y_true-y_pred))\n", - " total_sum_squares = np.sum(np.dot(y_true-np.mean(y_true),y_true-np.mean(y_true)))\n", - " return 1 - sum_square_regression/total_sum_squares\n", - " # pass # Uncomment this when you're done with this function" - ] - }, - { - "cell_type": "code", - "execution_count": 493, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.9903140806417874" - ] - }, - "execution_count": 493, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "y_pred1 = model1.predict(X_test,verbose=3)\n", - "y_pred1 = np.squeeze(y_pred1)\n", - "r2_score(y_test,y_pred1)" - ] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "CVusingTF_Assgn2.ipynb", - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3.9.13 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.13" - }, - "vscode": { - "interpreter": { - "hash": "c0f7ff968abd5cdc646c3b0d79d8d9fba0fbc1faf12e0395fe0c5d95a57fad77" - } - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/Assignment 2/A2_200731.ipynb b/Assignment 2/A2_200731.ipynb deleted file mode 100644 index 1124f3a..0000000 --- a/Assignment 2/A2_200731.ipynb +++ /dev/null @@ -1,1218 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of Copy of CVusingTF_Assgn2.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "import pandas as pd\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "# X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "X,y" - ], - "metadata": { - "id": "23KFS5FODVcM", - "outputId": "f7e4623b-cdb8-439a-ba58-730beb2f99f7", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(array([[ 1.58928579e+00, -2.43864781e-01, -9.53657453e-01,\n", - " -6.10570973e-01, 1.59709397e+00],\n", - " [ 1.91728485e+00, -5.80595172e-01, -1.94573993e-01,\n", - " -6.80116241e-01, -1.09591600e+00],\n", - " [ 4.86030067e-02, -3.74444917e-01, 2.09313488e-01,\n", - 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" 158.87671249, 79.87403933, -66.93162171, -43.88613954,\n", - " 143.37824889, 34.92501227, -17.55746273, 80.93091525,\n", - " 81.3623049 , -117.42276195, -8.03459148, 85.7751066 ,\n", - " -83.17756515, -41.13668036, 80.53740813, 34.89637518,\n", - " 198.17702362, 231.78809445, -7.91882959, 37.18411463]))" - ] - }, - "metadata": {}, - "execution_count": 3 - } - ] - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.scatter(X[:,0],y)\n", - "\n", - "# Your code here" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "outputId": "92b4f9a2-3903-417d-d24f-9cb4a5636725", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - } - }, - "execution_count": 4, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 4 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense\n", - "from tensorflow.keras.optimizers import SGD\n", - "\n", - "model = Sequential()\n", - "model.add(Dense(5,input_dim = 5,activation ='relu'))\n", - "model.add(Dense(5,input_dim = 5,activation ='relu'))\n", - "model.add(Dense(1,activation ='linear'))\n", - "opt = SGD(lr =0.03,momentum =0.9)\n", - "model.compile(loss = 'mean_squared_error', optimizer =opt)\n", - "\n", - "\n", - "\n", - "history = model.fit(X_train,y_train,validation_data = (X_test,y_test),epochs = 50, verbose =0)\n", - "train_loss =model.evaluate(X_train,y_train,verbose =0)\n", - "test_loss = model.evaluate(X_test,y_test,verbose =0)\n", - "print('Train: %.3f, Test: %.3f' % (train_loss, test_loss))\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "# Your code here" - ], - "metadata": { - "id": "r32N1xK2ziOs", - "outputId": "c5477e5a-6fcb-4e53-e19b-c748c45f7a5d", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/keras/optimizer_v2/gradient_descent.py:102: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.\n", - " super(SGD, self).__init__(name, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Train: 11345.927, Test: 10813.325\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "plt.title('Loss / Mean Squared Error')\n", - "plt.plot(history.history['loss'], label='training')\n", - "plt.plot(history.history['val_loss'], label='validation')\n", - "\n", - "plt.legend()\n", - "plt.show()\n" - ], - "metadata": { - "id": "e-pqXPy7JYHx", - "outputId": "95af1761-e47c-4524-c3b4-46f7ba9b1d1f", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - } - }, - "execution_count": 10, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "prediction = model.predict(X_test)\n" - ], - "metadata": { - "id": "3sUoNbh0W9Rk", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "2209aadf-90f7-48b2-b7e4-a1864d064d88" - }, - "execution_count": 71, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([[-14.916588],\n", - " [-14.916588],\n", - " [-14.916588],\n", - " ...,\n", - " [-14.916588],\n", - " [-14.916588],\n", - " [-14.916588]], dtype=float32)" - ] - }, - "metadata": {}, - "execution_count": 71 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "# Insert the function for R2 Score\n", - "import numpy as np\n", - "def r2_score(y_true, y_pred):\n", - " d1 = np.sum((y_true - y_pred)**2)\n", - " m = np.mean(y_true)\n", - " d2 = np.sum((y_true - m)**2)\n", - " return 1 - (d1/d2)\n", - " accuracy = r2_score(y_test,prediction)\n", - " print('accuracy')" - ], - "metadata": { - "id": "-lOHpD8-7ggm" - }, - "execution_count": 72, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "import pandas as pd\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "sqIQRrXit3nF" - }, - "execution_count": 43, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "Your text here" - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.scatter(X[:,0],y)" - ], - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "8ccaae48-9de5-46fc-c783-2c5d65b9e4d4" - }, - "execution_count": 45, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 45 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense\n" - ], - "metadata": { - "id": "xVG8HDtWtpe3" - }, - "execution_count": 56, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model = Sequential()\n", - "model.add(Dense(10,input_dim = 5,activation ='relu'))\n", - "model.add(Dense(10,input_dim = 5,activation ='relu'))\n", - "model.add(Dense(1,activation ='linear'))\n", - "opt = SGD(lr =0.03,momentum =0.9)\n", - "model.compile(loss = 'mean_squared_error', optimizer =opt)\n", - "\n", - "\n", - "\n", - "history = model.fit(X_train,y_train,validation_data = (X_test,y_test),epochs = 20, verbose =0)\n", - "train_loss =model.evaluate(X_train,y_train,verbose =0)\n", - "test_loss = model.evaluate(X_test,y_test,verbose =0)\n", - "print('Train: %.3f, Test: %.3f' % (train_loss, test_loss))\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "3PThAdv1th4w", - "outputId": "0f7be175-7527-4aeb-cbaf-54a04aa1eada" - }, - "execution_count": 64, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/keras/optimizer_v2/gradient_descent.py:102: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.\n", - " super(SGD, self).__init__(name, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Train: 14002.473, Test: 14144.952\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.title('Loss / Mean Squared Error')\n", - "plt.plot(history.history['loss'], label='training')\n", - "plt.plot(history.history['val_loss'], label='validation')\n", - "\n", - "plt.legend()\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "58z-4EHstmVW", - "outputId": "0ab827ec-9b8c-4c62-9b30-db469ab0522d" - }, - "execution_count": 65, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "prediction = model.predict(X_test)\n" - ], - "metadata": { - "id": "9Gi7rERTtYSQ" - }, - "execution_count": 74, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "def r2_score(y_true, y_pred):\n", - " d1 = np.sum((y_true - y_pred)**2)\n", - " m = np.mean(y_true)\n", - " d2 = np.sum((y_true - m)**2)\n", - " return 1 - (d1/d2)\n", - " accuracy = r2_score(y_test,prediction)\n", - " \n", - " " - ], - "metadata": { - "id": "KGGIHo5CtcQC" - }, - "execution_count": 73, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "\n", - "\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "mJJCpqDYpPzE", - "outputId": "c83d1222-3988-4e08-e8aa-1b9284bbb7fc" - }, - "execution_count": 69, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "accuracy\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "rx1N1DgNpRvT" - }, - "execution_count": 37, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "4i83-SeWpRzf" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "lfPc_7mHpR3i" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "ygxevXC_pR69" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "QsEou2c5pR-A" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "ank-OQIfpSAv" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "uhzLNj6lpSDz" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "7oyJZTs7pSHD" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "qBUhHQYXpSLm" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "2dXBtKsBpSPN" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "aHLu_LcLpSSK" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "LDveVe2gpSUs" - }, - "execution_count": null, - "outputs": [] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_200782.ipynb b/Assignment 2/A2_200782.ipynb deleted file mode 100644 index 7e73ce8..0000000 --- a/Assignment 2/A2_200782.ipynb +++ /dev/null @@ -1,1167 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "UxcaEbrCy1g_" - }, - "source": [ - "# Assigment 2: Deep Learning" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "h2JON-_Oy79w" - }, - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 274, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=1)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r6it-Rm7zD1Y" - }, - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 275, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "id": "UautPVj1yzaQ", - "outputId": "7820df12-1e62-44a1-93c8-ff3c347d2f83" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 275 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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53BDb1KnffHke6atuqaVhU06DLlNd58oShIeef0FCnB0YYps69XN3Enr6il48YkDPvyAhblISYps69XN3EsPmI/TiETqCf0FCLFcMsU2d+ql6qSp9FUulFNAPgn+BQuz9hdim9qA6vnxUo+fYgtm3nXcnVZRFMgMXdUPOH5XqzN8/e3JOMml8bLRrvryKsshYKqWAftHzR6XSgurcaddLlp2rA7e8OfV7qkhfxVApBWRB8EelBg2qZaevXjY2mroe0MvGRod6XcYRUBWCPyqVd/6+qGBqiycD9zzeD8YRUCVy/jkrY3ZqneSZvy+y/v9El3WAuh3vB+MIqBLBP0ehTz4KUZ4ToooMpkVMkGMcAVUi7ZOjGCYfhSiv/H2RwbSICXKs5Ikq0fPPET25YvSbSity+YoilmxgJU9UiZ5/jprekytisDVtUPRDdx7Q9NFn9Mktly14btHLV+RdYRTDjGvUF8E/RyGvnVN0SWFRlStpqTSXdPu+n2vyFRcseO0Qg+lS5z3EGddoBoJ/jkIMPlI5JYVFjXd0S5l58p6drx1SMKWUEyEj+OcspODTUsZAdFHjHd1SaXm8dtEoAEDICP5DiGV2ZhkD0YOMd/Rz/rZtvFQfuvOAPOX7Qx9LoQAAIaPaZ0Ax1fSXsYlL1sqVfs/flvUT+rs3XqLOibShjKX0EsPmOWgugv+AYpqdWUZJYdZSyCzn75NbLtO/vut10e2MFWMpJzPUm4O0z4BiuqUvayA6y3hH1vMX4ljKUkItAOiGAepmIfgPKLaa/tCCZ2znb1Chnfdeut2NfeJbB6O5gKF/pH0GFOMtfUg4f+Hpdtf17Mm5KMa2kA09/wHFdksfmpjOXyxVXcPqVVbbjnLVejD3tCK6sExOTvr09HTVzUADdebBpfk7lBgGnLNK+1m7MUlPTF1TfKMwFDN7yN0n0x4j7QP0EFNV17DSKrbGu+xUVrexmSYi7QP0EFNVVx46B6i73fkwNhM/ev5AD02fqFXEUtYIAz1/oIeQV2otS0zlqugfwR/oIaaqJCCLoYK/mb1D0scl/amky919uu2xmyXdIOm0pH909z3J8U2SPiNpRNIX3H1qmDYUqSklfuiNni/qaNie/yOSrpX0X+0HzWydpOskvUrSxZLuM7NXJg/fKumvJB2T9KCZ7Xb3R4dsR+6Y6g6gzoYa8HX3Q+6eVvO2WdId7v6cuz8h6Yiky5OPI+7+uLs/L+mO5LnBaVKJH4DmKaraZ0LSk21fH0uOdTu+iJltNbNpM5s+fvx4Qc3srmklfgCaZcngb2b3mdkjKR+F9tjdfae7T7r75IoVK4p8q1RNL/EDUG9L5vzd/U0DvO6MpFVtX69MjqnH8aBQ4gegzopK++yWdJ2ZLTOzNZLWSvqhpAclrTWzNWb2Is0PCu8uqA1DYXILgDobttTzbZL+XdIKSfeY2QF33+juB83sLkmPSjol6UZ3P518z02S9mi+1PM2dz841E9QoLqU+FGyCqATq3rWXJNWpQSwEKt6NhglqwDSEPxrjpJVAGkI/jVHySqANAT/mmOvXABpCP4NsOzcs//N5y8fZbAXAEs611lapc8f5l6osEUAQkHPv8ao9AHQDT3/CPU7aWumz0ofJoHN4zygSQj+kel3n4Fd+2dkktKm8LVX+rBvwTzOA5qGtE9k+k3l7NhzODXwm7Sg0ofU0DzOA5qG4B+ZfidtdXuea2FPlklg8zgPaBqCf2SWmrS1a/+MNkztTe31S/Ork2Z5vabgPKBpCP6R6TVpq5W37jbQmza5q+pJYK2L1Zrt92jD1F7t2p/P9g5ZX7fq8wCUjQHfyLRSNmlVKRum9i7KW7dMdKle6fV6RStqkHWQ163yPABVYEnnGlmz/Z6ug7xPTF1TdnOWtGFqb+pdysT4mB7YfkVwrwvEhiWdGyK2vHVRg6wM3gJLI/jXSGx566IuVrFdBIEqEPxrJLZ9h4u6WJV5ESxqwBooGgO+NRPTvsNFDbKWNXjLrGDEjAFfYEAMLCN0DPgCBWBgGTEj+AMDYmAZMSP4AwOKrboKaMeALzAgZgUjZgR/YAgxVVcB7Uj7AEADEfwBoIEI/gDQQAR/AGgggj8ANBDBHwAaaKjgb2Y7zOwxM3vYzL5hZuNtj91sZkfM7LCZbWw7vik5dsTMtg/z/kthxUUASDdsz/9eSa9299dI+qmkmyXJzNZJuk7SqyRtkvQfZjZiZiOSbpV0laR1kq5Pnpu79v1sXWdXXOQCkB8urkC8hgr+7v5ddz+VfLlP0srk882S7nD359z9CUlHJF2efBxx98fd/XlJdyTPzd2OPYcX7Wc7O3daO/YcLuLtGoeLKxC3PHP+75f0neTzCUlPtj12LDnW7fgiZrbVzKbNbPr48eOZG8OKi8Xi4grEbcngb2b3mdkjKR+b257zMUmnJN2eV8Pcfae7T7r75IoVKzJ/PysuFouLKxC3Jdf2cfc39XrczN4r6S2SrvSzO8PMSFrV9rSVyTH1OJ6rbRsvXbDLksSKi3m6eHwsdSMTLq5AHIat9tkk6SOS3uruJ9se2i3pOjNbZmZrJK2V9ENJD0paa2ZrzOxFmh8U3j1MG7qJbT/b2LCcMRC3YVf1/JykZZLuNTNJ2ufu/+DuB83sLkmPaj4ddKO7n5YkM7tJ0h5JI5Juc/eDQ7ahK1ZcLA7LGQNxYw9fAKgp9vAFACxA8AeABiL4A0ADEfwBoIEI/gDQQAR/AGgggj8ANBDBHwAaiOAPAA1E8AeABiL4A0ADEfwBoIGGXdUTFdu1f4aVNQFkRvCPWGsf3daGNa19dCVxAQDQE2mfiLGPLoBBEfwjxj66AAZF2qdDTDl09tEFMCh6/m1aOfSZE7Nync2h79pfyB7zQ2MfXQCDIvi3iS2Hzib1AAZF2qdNjDl0NqkHMAh6/m265crJoQOoG4J/G3LoAJqCtE+bVvoklmofABgUwb8DOXQATUDaBwAaiOAPAA1E8AeABiL4A0ADEfwBoIHM3atuw5LM7Liko30+/UJJvy6wOTHinCzGOVmMc7JY7OfkFe6+Iu2BKIJ/FmY27e6TVbcjJJyTxTgni3FOFqvzOSHtAwANRPAHgAaqY/DfWXUDAsQ5WYxzshjnZLHanpPa5fwBAEurY88fALAEgj8ANFAtg7+Z7TCzx8zsYTP7hpmNV92mqpnZO8zsoJm9YGa1LF3rh5ltMrPDZnbEzLZX3Z4QmNltZva0mT1SdVtCYWarzOx+M3s0+bv5QNVtylstg7+keyW92t1fI+mnkm6uuD0heETStZK+X3VDqmJmI5JulXSVpHWSrjezddW2KghfkrSp6kYE5pSkD7v7OklvlHRj3X5Xahn83f277n4q+XKfpJVVticE7n7I3cPcib48l0s64u6Pu/vzku6QtLniNlXO3b8v6Zmq2xESd3/K3X+UfP47SYck1Wqjj1oG/w7vl/SdqhuBIExIerLt62Oq2R808mdmqyWtl/SDaluSr2h38jKz+yT9UcpDH3P3bybP+Zjmb99uL7NtVennnADon5mdJ+nrkj7o7r+tuj15ijb4u/ubej1uZu+V9BZJV3pDJjMsdU6gGUmr2r5emRwDFjGzUc0H/tvd/e6q25O3WqZ9zGyTpI9Iequ7n6y6PQjGg5LWmtkaM3uRpOsk7a64TQiQmZmkL0o65O6frro9Rahl8Jf0OUkvlXSvmR0ws/+sukFVM7O3mdkxSX8u6R4z21N1m8qWFAHcJGmP5gfw7nL3g9W2qnpm9lVJ/yvpUjM7ZmY3VN2mAGyQ9G5JVyQx5ICZXV11o/LE8g4A0EB17fkDAHog+ANAAxH8AaCBCP4A0EAEfwBoIII/ADQQwR8AGuj/AShf9kwfLtokAAAAAElFTkSuQmCC\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "# plotting 5 features using scatter plot each graph is plotted between 1 feature and its outcom value\n", - "plt.scatter(X[:,0],y)" - ] - }, - { - "cell_type": "code", - "execution_count": 276, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "id": "wJDwNGLmcriE", - "outputId": "2fa271cc-6ee6-4a71-aa7f-d7633d03ceac" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 276 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "plt.scatter(X[:,4],y)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "XMXb9lTyzGHE" - }, - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 280, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "r32N1xK2ziOs", - "outputId": "5abe11a5-8c56-4a14-f39e-dd34239af6f4" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_44\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense_186 (Dense) (None, 5) 30 \n", - " \n", - " dense_187 (Dense) (None, 5) 30 \n", - " \n", - " dense_188 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 66\n", - "Trainable params: 66\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "# importing required libraries\n", - "import tensorflow as tf\n", - "from tensorflow.keras import Sequential\n", - "from tensorflow.keras import Model\n", - "\n", - "from tensorflow.keras.layers import Input\n", - "from tensorflow.keras.layers import Dense\n", - "from tensorflow.keras.layers import Activation\n", - "\n", - "# adding dense layers using Sequential model along with regularization technique.\n", - "# Regularizers allow you to apply penalties on layer parameters or layer activity during optimization.\n", - "# These penalties are summed into the loss function that the network optimizes.\n", - " # kernel_regularizer: Regularizer to apply a penalty on the layer's kernel\n", - " # A regularizer that applies both L1 and L2 regularization penalties.\n", - " # The L1 regularization penalty is computed as: loss = l1 * reduce_sum(abs(x))\n", - " # The L2 regularization penalty is computed as loss = l2 * reduce_sum(square(x))\n", - "\n", - "model = Sequential()\n", - "model.add(Dense(5, activation='relu', input_shape=(5,), kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))\n", - "model.add(Dense(5, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))\n", - "model.add(Dense(1, kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))\n", - "\n", - "# summarizing the model structure.\n", - "model.summary()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 281, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Wv_yMtmDa-9H", - "outputId": "ff897e10-e927-447c-ac64-8fe66fdc9772" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/95\n", - "2/2 [==============================] - 1s 197ms/step - loss: 11441.7930 - mse: 11439.2744 - val_loss: 11816.3721 - val_mse: 11813.8457\n", - "Epoch 2/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 11424.2852 - mse: 11421.7520 - val_loss: 11810.0938 - val_mse: 11807.5410\n", - "Epoch 3/95\n", - "2/2 [==============================] - 0s 38ms/step - loss: 11411.1611 - mse: 11408.6035 - val_loss: 11799.9619 - val_mse: 11797.3711\n", - "Epoch 4/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 11394.0469 - mse: 11391.4482 - val_loss: 11783.2168 - val_mse: 11780.5732\n", - "Epoch 5/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 11359.8086 - mse: 11357.1484 - val_loss: 11765.4600 - val_mse: 11762.7354\n", - "Epoch 6/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 11306.8848 - mse: 11304.1426 - val_loss: 11696.1836 - val_mse: 11693.3311\n", - "Epoch 7/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 11176.6504 - mse: 11173.7539 - val_loss: 11507.5693 - val_mse: 11504.4922\n", - "Epoch 8/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 10894.7021 - mse: 10891.5078 - val_loss: 11052.4092 - val_mse: 11048.9355\n", - "Epoch 9/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 10125.7109 - mse: 10122.0498 - val_loss: 9427.4580 - val_mse: 9423.2764\n", - "Epoch 10/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 7368.4512 - mse: 7363.8262 - val_loss: 3740.0679 - val_mse: 3734.3044\n", - "Epoch 11/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 1815.1143 - mse: 1808.7961 - val_loss: 982.5964 - val_mse: 975.7686\n", - "Epoch 12/95\n", - "2/2 [==============================] - 0s 27ms/step - loss: 1883.1639 - mse: 1876.3748 - val_loss: 3168.6860 - val_mse: 3161.4185\n", - "Epoch 13/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 4796.3496 - mse: 4789.9346 - val_loss: 5261.3652 - val_mse: 5255.9526\n", - "Epoch 14/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 5113.9062 - mse: 5108.2852 - val_loss: 3278.5371 - val_mse: 3272.1926\n", - "Epoch 15/95\n", - "2/2 [==============================] - 0s 35ms/step - loss: 3221.5654 - mse: 3215.1145 - val_loss: 866.0336 - val_mse: 858.5497\n", - "Epoch 16/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 787.7756 - mse: 780.2123 - val_loss: 323.6290 - val_mse: 315.9877\n", - "Epoch 17/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 397.5216 - mse: 389.9398 - val_loss: 315.4509 - val_mse: 307.5322\n", - "Epoch 18/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 457.0567 - mse: 449.4379 - val_loss: 252.5581 - val_mse: 244.8776\n", - "Epoch 19/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 231.9927 - mse: 224.3206 - val_loss: 189.1364 - val_mse: 181.4521\n", - "Epoch 20/95\n", - "2/2 [==============================] - 0s 35ms/step - loss: 195.3290 - mse: 187.5720 - val_loss: 192.7494 - val_mse: 185.0633\n", - "Epoch 21/95\n", - "2/2 [==============================] - 0s 37ms/step - loss: 147.8227 - mse: 140.0922 - val_loss: 134.2614 - val_mse: 126.4447\n", - "Epoch 22/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 124.7988 - mse: 117.0032 - val_loss: 114.9038 - val_mse: 107.0113\n", - "Epoch 23/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 124.4555 - mse: 116.5982 - val_loss: 113.3606 - val_mse: 105.4600\n", - "Epoch 24/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 101.6979 - mse: 93.8171 - val_loss: 93.1879 - val_mse: 85.2425\n", - "Epoch 25/95\n", - "2/2 [==============================] - 0s 43ms/step - loss: 80.2273 - mse: 72.2811 - val_loss: 117.6713 - val_mse: 109.7884\n", - "Epoch 26/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 75.0110 - mse: 67.0971 - val_loss: 89.8419 - val_mse: 81.8181\n", - "Epoch 27/95\n", - "2/2 [==============================] - 0s 34ms/step - loss: 92.1329 - mse: 84.1450 - val_loss: 107.4939 - val_mse: 99.4081\n", - "Epoch 28/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 90.7850 - mse: 82.7873 - val_loss: 99.3819 - val_mse: 91.2757\n", - "Epoch 29/95\n", - "2/2 [==============================] - 0s 35ms/step - loss: 79.8181 - mse: 71.7622 - val_loss: 81.4873 - val_mse: 73.4429\n", - "Epoch 30/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 99.4706 - mse: 91.4469 - val_loss: 105.4453 - val_mse: 97.3482\n", - "Epoch 31/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 81.0947 - mse: 73.0618 - val_loss: 63.7704 - val_mse: 55.6676\n", - "Epoch 32/95\n", - "2/2 [==============================] - 0s 35ms/step - loss: 64.4328 - mse: 56.3741 - val_loss: 74.0422 - val_mse: 65.8909\n", - "Epoch 33/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 52.9237 - mse: 44.8259 - val_loss: 76.6058 - val_mse: 68.4965\n", - "Epoch 34/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 78.7430 - mse: 70.6832 - val_loss: 89.4044 - val_mse: 81.2194\n", - "Epoch 35/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 67.9383 - mse: 59.8220 - val_loss: 62.2415 - val_mse: 54.0655\n", - "Epoch 36/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 76.1390 - mse: 68.0248 - val_loss: 64.0942 - val_mse: 55.9165\n", - "Epoch 37/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 56.0283 - mse: 47.9202 - val_loss: 67.0277 - val_mse: 58.9035\n", - "Epoch 38/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 43.8886 - mse: 35.7780 - val_loss: 87.6042 - val_mse: 79.5029\n", - "Epoch 39/95\n", - "2/2 [==============================] - 0s 34ms/step - loss: 52.2878 - mse: 44.1537 - val_loss: 70.4185 - val_mse: 62.3382\n", - "Epoch 40/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 47.2000 - mse: 39.0917 - val_loss: 72.5887 - val_mse: 64.4470\n", - "Epoch 41/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 49.6436 - mse: 41.5115 - val_loss: 59.9166 - val_mse: 51.7603\n", - "Epoch 42/95\n", - "2/2 [==============================] - 0s 37ms/step - loss: 42.9586 - mse: 34.8367 - val_loss: 59.2677 - val_mse: 51.1439\n", - "Epoch 43/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 47.1299 - mse: 39.0107 - val_loss: 75.2886 - val_mse: 67.1991\n", - "Epoch 44/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 52.2033 - mse: 44.0670 - val_loss: 77.4496 - val_mse: 69.3770\n", - "Epoch 45/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 42.6741 - mse: 34.5673 - val_loss: 54.9437 - val_mse: 46.8049\n", - "Epoch 46/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 42.7502 - mse: 34.6050 - val_loss: 74.6857 - val_mse: 66.6236\n", - "Epoch 47/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 54.5474 - mse: 46.4157 - val_loss: 90.4003 - val_mse: 82.3341\n", - "Epoch 48/95\n", - "2/2 [==============================] - 0s 36ms/step - loss: 51.1902 - mse: 43.0761 - val_loss: 53.6486 - val_mse: 45.5378\n", - "Epoch 49/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 44.1733 - mse: 36.0561 - val_loss: 46.5612 - val_mse: 38.4508\n", - "Epoch 50/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 41.2140 - mse: 33.0946 - val_loss: 60.2849 - val_mse: 52.1957\n", - "Epoch 51/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 38.5407 - mse: 30.4343 - val_loss: 57.5275 - val_mse: 49.3829\n", - "Epoch 52/95\n", - "2/2 [==============================] - 0s 39ms/step - loss: 39.7248 - mse: 31.5927 - val_loss: 57.5354 - val_mse: 49.4161\n", - "Epoch 53/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 36.6713 - mse: 28.5538 - val_loss: 53.0605 - val_mse: 44.9264\n", - "Epoch 54/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 35.6405 - mse: 27.5182 - val_loss: 57.8115 - val_mse: 49.6780\n", - "Epoch 55/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 38.8790 - mse: 30.7418 - val_loss: 61.7178 - val_mse: 53.6276\n", - "Epoch 56/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 40.1131 - mse: 31.9888 - val_loss: 55.5518 - val_mse: 47.4609\n", - "Epoch 57/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 38.6501 - mse: 30.5298 - val_loss: 62.9843 - val_mse: 54.8737\n", - "Epoch 58/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 38.0073 - mse: 29.8823 - val_loss: 54.1392 - val_mse: 46.0099\n", - "Epoch 59/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 41.7632 - mse: 33.6151 - val_loss: 101.9958 - val_mse: 93.9719\n", - "Epoch 60/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 74.7713 - mse: 66.6422 - val_loss: 119.9542 - val_mse: 111.9013\n", - "Epoch 61/95\n", - "2/2 [==============================] - 0s 35ms/step - loss: 46.8727 - mse: 38.7590 - val_loss: 78.8043 - val_mse: 70.6935\n", - "Epoch 62/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 38.3988 - mse: 30.2731 - val_loss: 75.8162 - val_mse: 67.7218\n", - "Epoch 63/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 39.7393 - mse: 31.6087 - val_loss: 69.3723 - val_mse: 61.2947\n", - "Epoch 64/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 47.4677 - mse: 39.3364 - val_loss: 73.8360 - val_mse: 65.7987\n", - "Epoch 65/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 44.0857 - mse: 35.9768 - val_loss: 49.9210 - val_mse: 41.8040\n", - "Epoch 66/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 41.1149 - mse: 33.0028 - val_loss: 58.9735 - val_mse: 50.8345\n", - "Epoch 67/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 44.0088 - mse: 35.9073 - val_loss: 46.9246 - val_mse: 38.7421\n", - "Epoch 68/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 49.3408 - mse: 41.2210 - val_loss: 40.5902 - val_mse: 32.4492\n", - "Epoch 69/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 36.6200 - mse: 28.4773 - val_loss: 46.4302 - val_mse: 38.3212\n", - "Epoch 70/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 35.4516 - mse: 27.3290 - val_loss: 54.3117 - val_mse: 46.1963\n", - "Epoch 71/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 38.8111 - mse: 30.6702 - val_loss: 53.6538 - val_mse: 45.5790\n", - "Epoch 72/95\n", - "2/2 [==============================] - 0s 29ms/step - loss: 33.5052 - mse: 25.4033 - val_loss: 55.0015 - val_mse: 46.8448\n", - "Epoch 73/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 40.5801 - mse: 32.4602 - val_loss: 45.3993 - val_mse: 37.2357\n", - "Epoch 74/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 42.7932 - mse: 34.6690 - val_loss: 45.7025 - val_mse: 37.5730\n", - "Epoch 75/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 38.6434 - mse: 30.5270 - val_loss: 44.0496 - val_mse: 35.9427\n", - "Epoch 76/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 36.1624 - mse: 28.0497 - val_loss: 49.4333 - val_mse: 41.3385\n", - "Epoch 77/95\n", - "2/2 [==============================] - 0s 35ms/step - loss: 38.0561 - mse: 29.9410 - val_loss: 47.9321 - val_mse: 39.8032\n", - "Epoch 78/95\n", - "2/2 [==============================] - 0s 35ms/step - loss: 37.0825 - mse: 28.9759 - val_loss: 51.1338 - val_mse: 42.9560\n", - "Epoch 79/95\n", - "2/2 [==============================] - 0s 28ms/step - loss: 44.3374 - mse: 36.2231 - val_loss: 45.4789 - val_mse: 37.3258\n", - "Epoch 80/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 40.0070 - mse: 31.8974 - val_loss: 48.4785 - val_mse: 40.3392\n", - "Epoch 81/95\n", - "2/2 [==============================] - 0s 31ms/step - loss: 34.5706 - mse: 26.4600 - val_loss: 39.5163 - val_mse: 31.3874\n", - "Epoch 82/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 35.2296 - mse: 27.1280 - val_loss: 43.9542 - val_mse: 35.8269\n", - "Epoch 83/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 31.8470 - mse: 23.7413 - val_loss: 52.3980 - val_mse: 44.3004\n", - "Epoch 84/95\n", - "2/2 [==============================] - 0s 35ms/step - loss: 32.4390 - mse: 24.3389 - val_loss: 49.3254 - val_mse: 41.2327\n", - "Epoch 85/95\n", - "2/2 [==============================] - 0s 34ms/step - loss: 33.7683 - mse: 25.6754 - val_loss: 46.3213 - val_mse: 38.1926\n", - "Epoch 86/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 42.2875 - mse: 34.1968 - val_loss: 49.9619 - val_mse: 41.7965\n", - "Epoch 87/95\n", - "2/2 [==============================] - 0s 36ms/step - loss: 40.8147 - mse: 32.7166 - val_loss: 45.6296 - val_mse: 37.5211\n", - "Epoch 88/95\n", - "2/2 [==============================] - 0s 34ms/step - loss: 35.2650 - mse: 27.1789 - val_loss: 41.0011 - val_mse: 32.8524\n", - "Epoch 89/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 39.5367 - mse: 31.4499 - val_loss: 53.1418 - val_mse: 45.0373\n", - "Epoch 90/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 33.0550 - mse: 24.9555 - val_loss: 37.8791 - val_mse: 29.7893\n", - "Epoch 91/95\n", - "2/2 [==============================] - 0s 32ms/step - loss: 36.2148 - mse: 28.1234 - val_loss: 35.5879 - val_mse: 27.4906\n", - "Epoch 92/95\n", - "2/2 [==============================] - 0s 33ms/step - loss: 31.7590 - mse: 23.6632 - val_loss: 38.9781 - val_mse: 30.8568\n", - "Epoch 93/95\n", - "2/2 [==============================] - 0s 44ms/step - loss: 35.9723 - mse: 27.8815 - val_loss: 45.2557 - val_mse: 37.1181\n", - "Epoch 94/95\n", - "2/2 [==============================] - 0s 30ms/step - loss: 39.2110 - mse: 31.1204 - val_loss: 39.9473 - val_mse: 31.8257\n", - "Epoch 95/95\n", - "2/2 [==============================] - 0s 34ms/step - loss: 40.1007 - mse: 32.0223 - val_loss: 38.6542 - val_mse: 30.5087\n", - "1/1 [==============================] - 0s 24ms/step - loss: 60.7137 - mse: 52.5681\n", - "MSE : 52.568\n" - ] - } - ], - "source": [ - "#creating an optimizer with new learning rate as a changed parameter.\n", - "opt = tf.keras.optimizers.SGD(learning_rate=0.001)\n", - "model.compile(optimizer=opt,loss='mse',metrics=['mse'])\n", - "\n", - "#Keras provides the capability to register callbacks when training a deep learning model.\n", - "#One of the default callbacks that is registered when training all deep learning models is the History callback. \n", - "#It records training metrics for each epoch.\n", - "#This includes the loss, accuracy (for classification problems), mse( for linear regression problems).\n", - "\n", - "history = model.fit(X_train, y_train,epochs=95,validation_data = (X_val, y_val))\n", - "# By setting verbose 0, 1 or 2 you just say how do you want to 'see' the training progress for each epoch.\n", - "\n", - "loss , mse = model. evaluate(X_test , y_test, verbose = 1)\n", - "print('MSE : %.3f' % mse)" - ] - }, - { - "cell_type": "code", - "execution_count": 282, - "metadata": { - "id": "92ZCMlWDoRIH" - }, - "outputs": [], - "source": [ - "y_pred = model.predict(X_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "d4SAHBY0oPEP" - }, - "source": [ - "" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jmeP6vt3z0oA" - }, - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ] - }, - { - "cell_type": "code", - "execution_count": 110, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 530 - }, - "id": "RQTNqPHm0mOi", - "outputId": "15bc5d53-1ad5-4372-eb8d-dfc22c44b9c2" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "dict_keys(['loss', 'mse', 'val_loss', 'val_mse'])\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "# Your code here\n", - "print(history.history.keys())\n", - "# summarize history for accuracy\n", - "plt.figure(figsize=(10, 8)) # making the graph scale big \n", - "plt.plot(history.history['loss']) # plotting loss key of history\n", - "plt.plot(history.history['val_loss']) # ploting validation loss \n", - "plt.title('Training and Validation loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.legend(['train_loss', 'validation_loss'], loc='upper right')\n", - "\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IVrR_vXA7kOt" - }, - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "-lOHpD8-7ggm", - "outputId": "110844dd-a2fc-456c-d1ea-da0e14c02d2b" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9951718388196231\n" - ] - } - ], - "source": [ - "# # Insert the function for R2 Score\n", - "\n", - "import numpy as np\n", - "from sklearn.metrics import r2_score\n", - "accu = r2_score(y_test, y_pred) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "CHqzF1OU0pBg" - }, - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jF8oTUqq0y0g" - }, - "source": [ - "#### Creating model comprising:\n", - "\n", - "**Input Layer : 1\n", - "Dense Layer : 3\n", - "output Layer : 1**\n" - ] - }, - { - "cell_type": "code", - "execution_count": 268, - "metadata": { - "id": "1XOk5hJu0oSQ", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "3af27184-69d4-43d3-9bdb-c8721dd8940d" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_14\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense_42 (Dense) (None, 5) 30 \n", - " \n", - " dense_43 (Dense) (None, 5) 30 \n", - " \n", - " dense_44 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 66\n", - "Trainable params: 66\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "from tensorflow.keras import layers\n", - "Model = Sequential(\n", - "[\n", - " layers.Dense(5, activation='relu', input_shape=(5,), kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)),\n", - " \n", - " layers.Dense(4, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)),\n", - " layers.Dense(4, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)),\n", - " layers.Dense(4, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)),\n", - " layers.Dense(8, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)),\n", - "\n", - "\n", - " layers.Dense(1, kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01))\n", - "])\n", - "# summarizing the model structure.\n", - "model.summary()" - ] - }, - { - "cell_type": "markdown", - "source": [ - "##**Fitting the custom model with optimised learning rate**\n", - "learning rate = 0.1 \n", - "\n", - "Total_number_of_iterations = 128" - ], - "metadata": { - "id": "7YU3VfWA90-1" - } - }, - { - "cell_type": "code", - "execution_count": 269, - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "547981fe-d3e9-4be5-e498-64a69b56773c" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/128\n", - "2/2 [==============================] - 1s 252ms/step - loss: 11440.1445 - mse: 11435.6973 - val_loss: 11818.1016 - val_mse: 11814.0781\n", - "Epoch 2/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 11419.7266 - mse: 11415.7480 - val_loss: 11747.2998 - val_mse: 11743.3545\n", - "Epoch 3/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 11332.7295 - mse: 11328.7559 - val_loss: 11475.5586 - val_mse: 11471.4268\n", - "Epoch 4/128\n", - "2/2 [==============================] - 0s 36ms/step - loss: 10947.9980 - mse: 10943.7422 - val_loss: 10651.6260 - val_mse: 10646.9375\n", - "Epoch 5/128\n", - "2/2 [==============================] - 0s 43ms/step - loss: 9694.0957 - mse: 9689.2266 - val_loss: 8716.7373 - val_mse: 8711.3369\n", - "Epoch 6/128\n", - "2/2 [==============================] - 0s 35ms/step - loss: 7026.2129 - mse: 7020.6191 - val_loss: 6806.9053 - val_mse: 6800.6992\n", - "Epoch 7/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6865.0029 - mse: 6858.6416 - val_loss: 5512.6006 - val_mse: 5505.9536\n", - "Epoch 8/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 4713.7734 - mse: 4707.0356 - val_loss: 4682.9282 - val_mse: 4675.9521\n", - "Epoch 9/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 3119.6660 - mse: 3112.6074 - val_loss: 2673.3501 - val_mse: 2666.0200\n", - "Epoch 10/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 1686.4747 - mse: 1679.0593 - val_loss: 2599.1221 - val_mse: 2591.5234\n", - "Epoch 11/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 1900.1558 - mse: 1892.5707 - val_loss: 1559.0831 - val_mse: 1551.5938\n", - "Epoch 12/128\n", - "2/2 [==============================] - 0s 38ms/step - loss: 1025.5709 - mse: 1018.1158 - val_loss: 1558.8649 - val_mse: 1551.4708\n", - "Epoch 13/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 1256.7625 - mse: 1249.3657 - val_loss: 1186.6964 - val_mse: 1179.2302\n", - "Epoch 14/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 783.5778 - mse: 776.0684 - val_loss: 790.9272 - val_mse: 783.2421\n", - "Epoch 15/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 644.4064 - mse: 636.6617 - val_loss: 1012.6285 - val_mse: 1004.7382\n", - "Epoch 16/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 611.6014 - mse: 603.6921 - val_loss: 592.6430 - val_mse: 584.7004\n", - "Epoch 17/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 526.0375 - mse: 518.0941 - val_loss: 457.3087 - val_mse: 449.3632\n", - "Epoch 18/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 321.0285 - mse: 313.0789 - val_loss: 330.9343 - val_mse: 322.9570\n", - "Epoch 19/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 247.7093 - mse: 239.7151 - val_loss: 352.1764 - val_mse: 344.1146\n", - "Epoch 20/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 264.9731 - mse: 256.8900 - val_loss: 354.9817 - val_mse: 346.8267\n", - "Epoch 21/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 217.2996 - mse: 209.1245 - val_loss: 275.1626 - val_mse: 266.9406\n", - "Epoch 22/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 177.7241 - mse: 169.4953 - val_loss: 231.6677 - val_mse: 223.4391\n", - "Epoch 23/128\n", - "2/2 [==============================] - 0s 34ms/step - loss: 165.8594 - mse: 157.6369 - val_loss: 170.3527 - val_mse: 162.1671\n", - "Epoch 24/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 134.2690 - mse: 126.0991 - val_loss: 163.5424 - val_mse: 155.3840\n", - "Epoch 25/128\n", - "2/2 [==============================] - 0s 54ms/step - loss: 129.3535 - mse: 121.1917 - val_loss: 172.4637 - val_mse: 164.2767\n", - "Epoch 26/128\n", - "2/2 [==============================] - 0s 41ms/step - loss: 112.0391 - mse: 103.8373 - val_loss: 169.2633 - val_mse: 161.0085\n", - "Epoch 27/128\n", - "2/2 [==============================] - 0s 34ms/step - loss: 115.1534 - mse: 106.8642 - val_loss: 189.3720 - val_mse: 181.0931\n", - "Epoch 28/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 105.2631 - mse: 96.9848 - val_loss: 188.6949 - val_mse: 180.3849\n", - "Epoch 29/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 87.3093 - mse: 78.9840 - val_loss: 195.4337 - val_mse: 187.0568\n", - "Epoch 30/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 90.8654 - mse: 82.4700 - val_loss: 187.5982 - val_mse: 179.1429\n", - "Epoch 31/128\n", - "2/2 [==============================] - 0s 40ms/step - loss: 77.5549 - mse: 69.0789 - val_loss: 169.7650 - val_mse: 161.2263\n", - "Epoch 32/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 71.6183 - mse: 63.0634 - val_loss: 154.7590 - val_mse: 146.1681\n", - "Epoch 33/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 81.6414 - mse: 73.0410 - val_loss: 127.0233 - val_mse: 118.4092\n", - "Epoch 34/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 64.8202 - mse: 56.2059 - val_loss: 114.7106 - val_mse: 106.0920\n", - "Epoch 35/128\n", - "2/2 [==============================] - 0s 33ms/step - loss: 84.7312 - mse: 76.1107 - val_loss: 104.0488 - val_mse: 95.4189\n", - "Epoch 36/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 64.6787 - mse: 56.0466 - val_loss: 83.3438 - val_mse: 74.6986\n", - "Epoch 37/128\n", - "2/2 [==============================] - 0s 33ms/step - loss: 68.4535 - mse: 59.8001 - val_loss: 84.6654 - val_mse: 76.0003\n", - "Epoch 38/128\n", - "2/2 [==============================] - 0s 34ms/step - loss: 68.9495 - mse: 60.2884 - val_loss: 83.4347 - val_mse: 74.7872\n", - "Epoch 39/128\n", - "2/2 [==============================] - 0s 33ms/step - loss: 59.6503 - mse: 51.0134 - val_loss: 95.7437 - val_mse: 87.1292\n", - "Epoch 40/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 61.6854 - mse: 53.0677 - val_loss: 77.3934 - val_mse: 68.7610\n", - "Epoch 41/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 51.8241 - mse: 43.1879 - val_loss: 68.0688 - val_mse: 59.4298\n", - "Epoch 42/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 54.2807 - mse: 45.6459 - val_loss: 68.1426 - val_mse: 59.5244\n", - "Epoch 43/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 48.7267 - mse: 40.1138 - val_loss: 67.0485 - val_mse: 58.4554\n", - "Epoch 44/128\n", - "2/2 [==============================] - 0s 36ms/step - loss: 49.6884 - mse: 41.0993 - val_loss: 66.4726 - val_mse: 57.8857\n", - "Epoch 45/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 47.6122 - mse: 39.0245 - val_loss: 61.1740 - val_mse: 52.5934\n", - "Epoch 46/128\n", - "2/2 [==============================] - 0s 33ms/step - loss: 44.3534 - mse: 35.7761 - val_loss: 64.0607 - val_mse: 55.4979\n", - "Epoch 47/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 46.4730 - mse: 37.9108 - val_loss: 62.9104 - val_mse: 54.3588\n", - "Epoch 48/128\n", - "2/2 [==============================] - 0s 39ms/step - loss: 41.7502 - mse: 33.2026 - val_loss: 62.5665 - val_mse: 54.0353\n", - "Epoch 49/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 44.9811 - mse: 36.4559 - val_loss: 63.3673 - val_mse: 54.8512\n", - "Epoch 50/128\n", - "2/2 [==============================] - 0s 33ms/step - loss: 42.3495 - mse: 33.8350 - val_loss: 59.3014 - val_mse: 50.7855\n", - "Epoch 51/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 43.3691 - mse: 34.8561 - val_loss: 59.3240 - val_mse: 50.8271\n", - "Epoch 52/128\n", - "2/2 [==============================] - 0s 37ms/step - loss: 40.4223 - mse: 31.9303 - val_loss: 55.3552 - val_mse: 46.8782\n", - "Epoch 53/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 39.2748 - mse: 30.8016 - val_loss: 56.1437 - val_mse: 47.6892\n", - "Epoch 54/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 39.2519 - mse: 30.8043 - val_loss: 58.2842 - val_mse: 49.8514\n", - "Epoch 55/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 39.1390 - mse: 30.7029 - val_loss: 57.3807 - val_mse: 48.9431\n", - "Epoch 56/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 38.2164 - mse: 29.7845 - val_loss: 50.8811 - val_mse: 42.4694\n", - "Epoch 57/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 36.2350 - mse: 27.8292 - val_loss: 50.5888 - val_mse: 42.1994\n", - "Epoch 58/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 35.7728 - mse: 27.3841 - val_loss: 52.6411 - val_mse: 44.2559\n", - "Epoch 59/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 36.4417 - mse: 28.0575 - val_loss: 51.1875 - val_mse: 42.8119\n", - "Epoch 60/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 35.1289 - mse: 26.7563 - val_loss: 48.3126 - val_mse: 39.9583\n", - "Epoch 61/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 35.8927 - mse: 27.5434 - val_loss: 47.6994 - val_mse: 39.3575\n", - "Epoch 62/128\n", - "2/2 [==============================] - 0s 35ms/step - loss: 34.8255 - mse: 26.4829 - val_loss: 48.8294 - val_mse: 40.4883\n", - "Epoch 63/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 33.7584 - mse: 25.4180 - val_loss: 47.8435 - val_mse: 39.5063\n", - "Epoch 64/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 33.9647 - mse: 25.6189 - val_loss: 45.8877 - val_mse: 37.5583\n", - "Epoch 65/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 33.3661 - mse: 25.0339 - val_loss: 47.4773 - val_mse: 39.1259\n", - "Epoch 66/128\n", - "2/2 [==============================] - 0s 26ms/step - loss: 33.8921 - mse: 25.5311 - val_loss: 46.5754 - val_mse: 38.1929\n", - "Epoch 67/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 32.7986 - mse: 24.4112 - val_loss: 46.7623 - val_mse: 38.3642\n", - "Epoch 68/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 32.8278 - mse: 24.4280 - val_loss: 50.1735 - val_mse: 41.7736\n", - "Epoch 69/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 32.1929 - mse: 23.7924 - val_loss: 49.1035 - val_mse: 40.7062\n", - "Epoch 70/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 32.2577 - mse: 23.8626 - val_loss: 46.5729 - val_mse: 38.1816\n", - "Epoch 71/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 31.8516 - mse: 23.4640 - val_loss: 48.3068 - val_mse: 39.9309\n", - "Epoch 72/128\n", - "2/2 [==============================] - 0s 34ms/step - loss: 31.6387 - mse: 23.2694 - val_loss: 51.6695 - val_mse: 43.3190\n", - "Epoch 73/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 31.5666 - mse: 23.2188 - val_loss: 49.8486 - val_mse: 41.5129\n", - "Epoch 74/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 31.6829 - mse: 23.3526 - val_loss: 49.5100 - val_mse: 41.1894\n", - "Epoch 75/128\n", - "2/2 [==============================] - 0s 51ms/step - loss: 32.3354 - mse: 24.0228 - val_loss: 49.2986 - val_mse: 41.0018\n", - "Epoch 76/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 30.7930 - mse: 22.4992 - val_loss: 51.3425 - val_mse: 43.0559\n", - "Epoch 77/128\n", - "2/2 [==============================] - 0s 37ms/step - loss: 32.3118 - mse: 24.0234 - val_loss: 47.8034 - val_mse: 39.5405\n", - "Epoch 78/128\n", - "2/2 [==============================] - 0s 35ms/step - loss: 32.9678 - mse: 24.7165 - val_loss: 49.8083 - val_mse: 41.5884\n", - "Epoch 79/128\n", - "2/2 [==============================] - 0s 34ms/step - loss: 31.0892 - mse: 22.8759 - val_loss: 51.2028 - val_mse: 43.0002\n", - "Epoch 80/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 33.1906 - mse: 24.9876 - val_loss: 47.2783 - val_mse: 39.0628\n", - "Epoch 81/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 31.4773 - mse: 23.2558 - val_loss: 50.2466 - val_mse: 42.0112\n", - "Epoch 82/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 31.4848 - mse: 23.2467 - val_loss: 51.4843 - val_mse: 43.2383\n", - "Epoch 83/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 30.8456 - mse: 22.6032 - val_loss: 47.9234 - val_mse: 39.6886\n", - "Epoch 84/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 30.7595 - mse: 22.5283 - val_loss: 49.5671 - val_mse: 41.3508\n", - "Epoch 85/128\n", - "2/2 [==============================] - 0s 35ms/step - loss: 30.5653 - mse: 22.3528 - val_loss: 52.4377 - val_mse: 44.2292\n", - "Epoch 86/128\n", - "2/2 [==============================] - 0s 33ms/step - loss: 30.1136 - mse: 21.9051 - val_loss: 52.2066 - val_mse: 43.9972\n", - "Epoch 87/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 29.9254 - mse: 21.7163 - val_loss: 47.9665 - val_mse: 39.7696\n", - "Epoch 88/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 30.1998 - mse: 22.0080 - val_loss: 48.9383 - val_mse: 40.7629\n", - "Epoch 89/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 30.6612 - mse: 22.4922 - val_loss: 55.8340 - val_mse: 47.6799\n", - "Epoch 90/128\n", - "2/2 [==============================] - 0s 36ms/step - loss: 30.3069 - mse: 22.1571 - val_loss: 49.3917 - val_mse: 41.2553\n", - "Epoch 91/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 30.0642 - mse: 21.9303 - val_loss: 48.1310 - val_mse: 40.0035\n", - "Epoch 92/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 30.3445 - mse: 22.2204 - val_loss: 51.1978 - val_mse: 43.0884\n", - "Epoch 93/128\n", - "2/2 [==============================] - 0s 42ms/step - loss: 30.4530 - mse: 22.3451 - val_loss: 47.4940 - val_mse: 39.4019\n", - "Epoch 94/128\n", - "2/2 [==============================] - 0s 33ms/step - loss: 29.2411 - mse: 21.1514 - val_loss: 49.0922 - val_mse: 41.0107\n", - "Epoch 95/128\n", - "2/2 [==============================] - 0s 38ms/step - loss: 29.4814 - mse: 21.4019 - val_loss: 47.9994 - val_mse: 39.9289\n", - "Epoch 96/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 30.6726 - mse: 22.6076 - val_loss: 47.4427 - val_mse: 39.3845\n", - "Epoch 97/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 29.5729 - mse: 21.5152 - val_loss: 52.5465 - val_mse: 44.4874\n", - "Epoch 98/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 29.8462 - mse: 21.7910 - val_loss: 49.4872 - val_mse: 41.4459\n", - "Epoch 99/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 29.4271 - mse: 21.3892 - val_loss: 49.9092 - val_mse: 41.8858\n", - "Epoch 100/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 29.3469 - mse: 21.3255 - val_loss: 52.9958 - val_mse: 44.9820\n", - "Epoch 101/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 29.7761 - mse: 21.7656 - val_loss: 49.3432 - val_mse: 41.3444\n", - "Epoch 102/128\n", - "2/2 [==============================] - 0s 33ms/step - loss: 28.9478 - mse: 20.9524 - val_loss: 47.4913 - val_mse: 39.5105\n", - "Epoch 103/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 30.2754 - mse: 22.2994 - val_loss: 47.6559 - val_mse: 39.6775\n", - "Epoch 104/128\n", - "2/2 [==============================] - 0s 59ms/step - loss: 29.2878 - mse: 21.3077 - val_loss: 49.0545 - val_mse: 41.0756\n", - "Epoch 105/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 30.6280 - mse: 22.6542 - val_loss: 50.3716 - val_mse: 42.4135\n", - "Epoch 106/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 29.0818 - mse: 21.1279 - val_loss: 48.8136 - val_mse: 40.8662\n", - "Epoch 107/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 29.0032 - mse: 21.0548 - val_loss: 48.5627 - val_mse: 40.6192\n", - "Epoch 108/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 28.7534 - mse: 20.8154 - val_loss: 51.9789 - val_mse: 44.0555\n", - "Epoch 109/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 29.5066 - mse: 21.5825 - val_loss: 49.6631 - val_mse: 41.7421\n", - "Epoch 110/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 30.0156 - mse: 22.0991 - val_loss: 46.4245 - val_mse: 38.5184\n", - "Epoch 111/128\n", - "2/2 [==============================] - 0s 27ms/step - loss: 29.5086 - mse: 21.6043 - val_loss: 51.0899 - val_mse: 43.1962\n", - "Epoch 112/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 29.3655 - mse: 21.4726 - val_loss: 46.5743 - val_mse: 38.6824\n", - "Epoch 113/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 28.8399 - mse: 20.9512 - val_loss: 46.7919 - val_mse: 38.9128\n", - "Epoch 114/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 28.9109 - mse: 21.0350 - val_loss: 48.6343 - val_mse: 40.7702\n", - "Epoch 115/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 29.2623 - mse: 21.4004 - val_loss: 46.5086 - val_mse: 38.6430\n", - "Epoch 116/128\n", - "2/2 [==============================] - 0s 40ms/step - loss: 29.9712 - mse: 22.1037 - val_loss: 47.9112 - val_mse: 40.0483\n", - "Epoch 117/128\n", - "2/2 [==============================] - 0s 33ms/step - loss: 29.6422 - mse: 21.7848 - val_loss: 48.1278 - val_mse: 40.2906\n", - "Epoch 118/128\n", - "2/2 [==============================] - 0s 28ms/step - loss: 28.6853 - mse: 20.8509 - val_loss: 50.6555 - val_mse: 42.8267\n", - "Epoch 119/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 28.6080 - mse: 20.7801 - val_loss: 47.9786 - val_mse: 40.1510\n", - "Epoch 120/128\n", - "2/2 [==============================] - 0s 33ms/step - loss: 29.9746 - mse: 22.1490 - val_loss: 46.1535 - val_mse: 38.3447\n", - "Epoch 121/128\n", - "2/2 [==============================] - 0s 31ms/step - loss: 29.2804 - mse: 21.4755 - val_loss: 49.8669 - val_mse: 42.0688\n", - "Epoch 122/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 28.6802 - mse: 20.8832 - val_loss: 51.6740 - val_mse: 43.8762\n", - "Epoch 123/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 30.1477 - mse: 22.3487 - val_loss: 48.0106 - val_mse: 40.2231\n", - "Epoch 124/128\n", - "2/2 [==============================] - 0s 30ms/step - loss: 30.0301 - mse: 22.2460 - val_loss: 46.5401 - val_mse: 38.7670\n", - "Epoch 125/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 30.0579 - mse: 22.2869 - val_loss: 53.9907 - val_mse: 46.2248\n", - "Epoch 126/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 31.3741 - mse: 23.6117 - val_loss: 47.0403 - val_mse: 39.2810\n", - "Epoch 127/128\n", - "2/2 [==============================] - 0s 32ms/step - loss: 33.3927 - mse: 25.6307 - val_loss: 43.5024 - val_mse: 35.7406\n", - "Epoch 128/128\n", - "2/2 [==============================] - 0s 29ms/step - loss: 31.0826 - mse: 23.3267 - val_loss: 58.4884 - val_mse: 50.7475\n" - ] - } - ], - "source": [ - "opt = tf.keras.optimizers.Adam(learning_rate=0.1) # used adam optimizer\n", - "Model.compile(optimizer=opt,loss='mse',metrics=['mse'])\n", - "history = Model.fit(X_train, y_train,epochs=128,validation_data = (X_val, y_val))\n" - ] - }, - { - "cell_type": "code", - "source": [ - "y_predict = model.predict(X_test)" - ], - "metadata": { - "id": "bDK4ShJwA-43" - }, - "execution_count": 270, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "# Plot Loss\n", - "\n", - "Using matplotlib on visualizing how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters." - ], - "metadata": { - "id": "6QZg0fIuHIf1" - } - }, - { - "cell_type": "code", - "source": [ - "\n", - "print(history.history.keys())\n", - "# summarize history for accuracy\n", - "plt.figure(figsize=(10, 8)) # making the graph scale big \n", - "plt.plot(history.history['loss']) # plotting loss key of history\n", - "plt.plot(history.history['val_loss']) # ploting validation loss \n", - "plt.title('Training and Validation loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.legend(['train_loss', 'validation_loss'], loc='upper right')\n", - "\n", - "\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 530 - }, - "id": "yKvaGbC3BGxN", - "outputId": "f1a8a1c0-31e8-4f25-aa7e-07e849a4d5de" - }, - "execution_count": 271, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "dict_keys(['loss', 'mse', 'val_loss', 'val_mse'])\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "##Evaluating MSE and measuring accuracy using r2_score" - ], - "metadata": { - "id": "-SkFYnp3KPTe" - } - }, - { - "cell_type": "code", - "source": [ - "loss , mse = model. evaluate(X_test , y_test, verbose = 1)\n", - "print('MSE : %.3f' % mse)\n", - "\n", - "import numpy as np\n", - "from sklearn.metrics import r2_score\n", - "accu = r2_score(y_test, y_pred) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "zgmFlw_8JtT0", - "outputId": "68bafed6-cf7c-459f-9528-994c12d451e4" - }, - "execution_count": 273, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1/1 [==============================] - 0s 23ms/step - loss: 54.8271 - mse: 47.2117\n", - "MSE : 47.212\n", - "Accuracy: 0.9951718388196231\n" - ] - } - ] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "A2_200782.ipynb", - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file diff --git a/Assignment 2/A2_200914.ipynb b/Assignment 2/A2_200914.ipynb deleted file mode 100644 index 6150e40..0000000 --- a/Assignment 2/A2_200914.ipynb +++ /dev/null @@ -1,1318 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "UxcaEbrCy1g_" - }, - "source": [ - "# Assigment 2: Deep Learning" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "h2JON-_Oy79w" - }, - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_data, X_test, y_data, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "X_train, X_val, y_train, y_val = train_test_split(X_data, y_data, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r6it-Rm7zD1Y" - }, - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 428 - }, - "id": "UautPVj1yzaQ", - "outputId": "9c887236-f54b-41a1-d64b-623d9b27b237" - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.rcParams[\"figure.figsize\"] = (12,7)\n", - "x1=X[:,0]\n", - "x2=X[:,1]\n", - "x3=X[:,2]\n", - "x4=X[:,3]\n", - "x5=X[:,4]\n", - "plt.subplot(2, 3, 1)\n", - "plt.scatter(x1, y, c =\"blue\")\n", - "plt.subplot(2, 3, 2)\n", - "plt.scatter(x2, y, c =\"magenta\")\n", - "plt.subplot(2, 3, 3)\n", - "plt.scatter(x3, y, c =\"green\")\n", - "plt.subplot(2, 3, 4)\n", - "plt.scatter(x4, y, c =\"black\")\n", - "plt.subplot(2, 3, 5)\n", - "plt.scatter(x5, y, c =\"red\")\n", - "\n", - " \n", - "# To show the plot\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "XMXb9lTyzGHE" - }, - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "1xWx521sMtee" - }, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers, callbacks\n", - "from tensorflow.keras.callbacks import EarlyStopping\n" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "r32N1xK2ziOs", - "outputId": "28289b94-2678-4f54-c8d0-f097a0bbaafc" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 1773.4591 - mean_squared_error: 1773.4591 - val_loss: 133.5091 - val_mean_squared_error: 133.5091\n", - "Epoch 2/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 197.6714 - mean_squared_error: 197.6714 - val_loss: 61.2283 - val_mean_squared_error: 61.2283\n", - "Epoch 3/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 197.4841 - mean_squared_error: 197.4841 - val_loss: 138.2643 - val_mean_squared_error: 138.2643\n", - "Epoch 4/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 184.2130 - mean_squared_error: 184.2130 - val_loss: 50.7594 - val_mean_squared_error: 50.7594\n", - "Epoch 5/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 240.9120 - mean_squared_error: 240.9120 - val_loss: 28.2061 - val_mean_squared_error: 28.2061\n", - "Epoch 6/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 238.3668 - mean_squared_error: 238.3668 - val_loss: 1189.4244 - val_mean_squared_error: 1189.4244\n", - "Epoch 7/150\n", - "200/200 [==============================] - 0s 2ms/step - loss: 170.2093 - mean_squared_error: 170.2093 - val_loss: 36.2211 - val_mean_squared_error: 36.2211\n", - "Epoch 8/150\n", - "200/200 [==============================] - 0s 2ms/step - loss: 165.8016 - mean_squared_error: 165.8016 - val_loss: 582.5740 - val_mean_squared_error: 582.5740\n", - "Epoch 9/150\n", - "200/200 [==============================] - 0s 2ms/step - loss: 157.4159 - mean_squared_error: 157.4159 - val_loss: 51.3039 - val_mean_squared_error: 51.3039\n", - "Epoch 10/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 608.6871 - mean_squared_error: 608.6871 - val_loss: 31.3704 - val_mean_squared_error: 31.3704\n", - "Epoch 11/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 171.7534 - mean_squared_error: 171.7534 - val_loss: 28.0077 - val_mean_squared_error: 28.0077\n", - "Epoch 12/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 166.6221 - mean_squared_error: 166.6221 - val_loss: 161.4115 - val_mean_squared_error: 161.4115\n", - "Epoch 13/150\n", - 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"Epoch 112/150\n", - "200/200 [==============================] - 0s 2ms/step - loss: 65.5913 - mean_squared_error: 65.5913 - val_loss: 171.4280 - val_mean_squared_error: 171.4280\n", - "Epoch 113/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 101.2110 - mean_squared_error: 101.2110 - val_loss: 39.0945 - val_mean_squared_error: 39.0945\n", - "Epoch 114/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 59.6133 - mean_squared_error: 59.6133 - val_loss: 64.4971 - val_mean_squared_error: 64.4971\n", - "Epoch 115/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 61.7618 - mean_squared_error: 61.7618 - val_loss: 116.2424 - val_mean_squared_error: 116.2424\n", - "Epoch 116/150\n", - "200/200 [==============================] - 0s 2ms/step - loss: 76.6904 - mean_squared_error: 76.6904 - val_loss: 54.6231 - val_mean_squared_error: 54.6231\n", - "Epoch 117/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 64.2909 - mean_squared_error: 64.2909 - val_loss: 31.4038 - val_mean_squared_error: 31.4038\n", - "Epoch 118/150\n", - "200/200 [==============================] - 0s 2ms/step - loss: 202.8264 - mean_squared_error: 202.8264 - val_loss: 295.2711 - val_mean_squared_error: 295.2711\n", - "Epoch 119/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 170.5807 - mean_squared_error: 170.5807 - val_loss: 35.4637 - val_mean_squared_error: 35.4637\n", - "Epoch 120/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 64.4966 - mean_squared_error: 64.4966 - val_loss: 40.7658 - val_mean_squared_error: 40.7658\n", - "Epoch 121/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 51.5226 - mean_squared_error: 51.5226 - val_loss: 39.5569 - val_mean_squared_error: 39.5569\n", - "Epoch 122/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 50.9841 - mean_squared_error: 50.9841 - val_loss: 28.6940 - val_mean_squared_error: 28.6940\n", - "Epoch 123/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 55.9476 - mean_squared_error: 55.9476 - val_loss: 35.6977 - val_mean_squared_error: 35.6977\n", - "Epoch 124/150\n", - "200/200 [==============================] - 0s 2ms/step - loss: 58.5826 - mean_squared_error: 58.5826 - val_loss: 30.0553 - val_mean_squared_error: 30.0553\n", - "Epoch 125/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 57.5403 - mean_squared_error: 57.5403 - val_loss: 28.2828 - val_mean_squared_error: 28.2828\n", - "Epoch 126/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 46.1691 - mean_squared_error: 46.1691 - val_loss: 36.6851 - val_mean_squared_error: 36.6851\n", - "Epoch 127/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 72.2372 - mean_squared_error: 72.2372 - val_loss: 34.9877 - val_mean_squared_error: 34.9877\n", - "Epoch 128/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 66.3444 - mean_squared_error: 66.3444 - val_loss: 76.9775 - val_mean_squared_error: 76.9775\n", - "Epoch 129/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 128.0575 - mean_squared_error: 128.0575 - val_loss: 27.0915 - val_mean_squared_error: 27.0915\n", - "Epoch 130/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 79.7364 - mean_squared_error: 79.7364 - val_loss: 135.3016 - val_mean_squared_error: 135.3016\n", - "Epoch 131/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 74.6247 - mean_squared_error: 74.6247 - val_loss: 46.3281 - val_mean_squared_error: 46.3281\n", - "Epoch 132/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 71.4323 - mean_squared_error: 71.4323 - val_loss: 31.0455 - val_mean_squared_error: 31.0455\n", - "Epoch 133/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 57.6626 - mean_squared_error: 57.6626 - val_loss: 48.9670 - val_mean_squared_error: 48.9670\n", - "Epoch 134/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 57.8999 - mean_squared_error: 57.8999 - val_loss: 29.2789 - val_mean_squared_error: 29.2789\n", - "Epoch 135/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 50.9243 - mean_squared_error: 50.9243 - val_loss: 50.2275 - val_mean_squared_error: 50.2275\n", - "Epoch 136/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 61.3670 - mean_squared_error: 61.3670 - val_loss: 228.5209 - val_mean_squared_error: 228.5209\n", - "Epoch 137/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 66.2862 - mean_squared_error: 66.2862 - val_loss: 31.9013 - val_mean_squared_error: 31.9013\n", - "Epoch 138/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 83.4251 - mean_squared_error: 83.4251 - val_loss: 163.9886 - val_mean_squared_error: 163.9886\n", - "Epoch 139/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 90.2467 - mean_squared_error: 90.2467 - val_loss: 28.6839 - val_mean_squared_error: 28.6839\n", - "Epoch 140/150\n", - "200/200 [==============================] - 0s 2ms/step - loss: 53.3244 - mean_squared_error: 53.3244 - val_loss: 37.8387 - val_mean_squared_error: 37.8387\n", - "Epoch 141/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 59.6623 - mean_squared_error: 59.6623 - val_loss: 45.7069 - val_mean_squared_error: 45.7069\n", - "Epoch 142/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 59.8098 - mean_squared_error: 59.8098 - val_loss: 29.4663 - val_mean_squared_error: 29.4663\n", - "Epoch 143/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 67.5573 - mean_squared_error: 67.5573 - val_loss: 32.8083 - val_mean_squared_error: 32.8083\n", - "Epoch 144/150\n", - "200/200 [==============================] - 0s 2ms/step - loss: 73.7962 - mean_squared_error: 73.7962 - val_loss: 85.5417 - val_mean_squared_error: 85.5417\n", - "Epoch 145/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 134.8809 - mean_squared_error: 134.8809 - val_loss: 35.6265 - val_mean_squared_error: 35.6265\n", - "Epoch 146/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 70.6522 - mean_squared_error: 70.6522 - val_loss: 29.4878 - val_mean_squared_error: 29.4878\n", - "Epoch 147/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 94.7349 - mean_squared_error: 94.7349 - val_loss: 55.4182 - val_mean_squared_error: 55.4182\n", - "Epoch 148/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 85.5949 - mean_squared_error: 85.5949 - val_loss: 36.6559 - val_mean_squared_error: 36.6559\n", - "Epoch 149/150\n", - "200/200 [==============================] - 1s 3ms/step - loss: 93.5514 - mean_squared_error: 93.5514 - val_loss: 29.5304 - val_mean_squared_error: 29.5304\n", - "Epoch 150/150\n", - "200/200 [==============================] - 0s 2ms/step - loss: 45.9821 - mean_squared_error: 45.9821 - val_loss: 89.5203 - val_mean_squared_error: 89.5203\n" - ] - } - ], - "source": [ - "model = keras.Sequential([\n", - " layers.Dense(5, activation='relu', input_shape=[5]),\n", - " layers.Dense(5, activation='relu'),\n", - " layers.Dense(1)\n", - "])\n", - "\n", - "model.compile(\n", - " optimizer=tf.keras.optimizers.SGD(learning_rate=0.001,decay=1e-6),\n", - " loss='mse',\n", - " metrics=[tf.keras.metrics.MeanSquaredError()]\n", - ")\n", - "\n", - "history = model.fit(\n", - " X_train, y_train,\n", - " validation_data=(X_val, y_val),\n", - " epochs=150\n", - ")\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jmeP6vt3z0oA" - }, - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 428 - }, - "id": "RQTNqPHm0mOi", - "outputId": "a8e511fd-1a88-46ab-be4c-6d7cf5e253f9" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "history_df = pd.DataFrame(history.history)\n", - "history_df.loc[:, ['loss', 'val_loss']].plot();\n", - "#print(\"Minimum validation loss: {}\".format(history_df['val_loss'].min()))" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "aqoH8oXF-CL3", - "outputId": "81e3e5ca-f4bb-4e86-902c-bba99ac21860" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "MSE: 88.50431060791016\n" - ] - } - ], - "source": [ - "test_loss, test_acc = model.evaluate(X_test,y_test,verbose=0)\n", - "y_pred=model.predict(X_test)\n", - "print('\\nMSE:',test_acc)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IVrR_vXA7kOt" - }, - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "-lOHpD8-7ggm", - "outputId": "22076986-9042-4452-8cf1-76f8cc836ce5" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9936519653888535\n" - ] - } - ], - "source": [ - "# Insert the function for R2 Score\n", - "def r2_score(y_true, y_pred):\n", - " #1-ssr/sst\n", - " error=y_true-y_pred\n", - " mean=np.mean(y_true)\n", - " ssr =np.sum(np.multiply(error,error)) # sum squared regression (SSR)\n", - " sst=np.sum(np.multiply(y_true-mean,y_true-mean)) # total sum of squares (SST)\n", - " r2 = 1-ssr/sst\n", - " return r2\n", - "\n", - "accu = r2_score(y_test,y_pred.squeeze()) \n", - "print(\"Accuracy:\", accu)\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "CHqzF1OU0pBg" - }, - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jF8oTUqq0y0g" - }, - "source": [ - "Your text here" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "1XOk5hJu0oSQ", - "outputId": "a96308fd-0c1c-4d9f-b337-87f5127954ed" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/1000\n", - "25/25 [==============================] - 1s 9ms/step - loss: 13914.7354 - mean_squared_error: 13914.7354 - val_loss: 13973.9863 - val_mean_squared_error: 13973.9863\n", - "Epoch 2/1000\n", - "25/25 [==============================] - 0s 5ms/step - loss: 13836.6016 - mean_squared_error: 13836.6016 - val_loss: 13947.3164 - val_mean_squared_error: 13947.3164\n", - "Epoch 3/1000\n", - "25/25 [==============================] - 0s 6ms/step - loss: 13762.5527 - mean_squared_error: 13762.5527 - val_loss: 13915.5166 - val_mean_squared_error: 13915.5166\n", - "Epoch 4/1000\n", - "25/25 [==============================] - 0s 9ms/step - loss: 13691.7109 - mean_squared_error: 13691.7109 - val_loss: 13875.9023 - val_mean_squared_error: 13875.9023\n", - "Epoch 5/1000\n", - "25/25 [==============================] - 0s 9ms/step - loss: 13618.9062 - mean_squared_error: 13618.9062 - val_loss: 13825.5850 - val_mean_squared_error: 13825.5850\n", - "Epoch 6/1000\n", - "25/25 [==============================] - 0s 11ms/step - loss: 13540.7686 - mean_squared_error: 13540.7686 - val_loss: 13762.5850 - val_mean_squared_error: 13762.5850\n", - "Epoch 7/1000\n", - "25/25 [==============================] - 0s 9ms/step - loss: 13452.8652 - mean_squared_error: 13452.8652 - val_loss: 13684.2695 - val_mean_squared_error: 13684.2695\n", - "Epoch 8/1000\n", - "25/25 [==============================] - 0s 9ms/step - loss: 13354.7588 - mean_squared_error: 13354.7588 - val_loss: 13589.5625 - val_mean_squared_error: 13589.5625\n", - "Epoch 9/1000\n", - "25/25 [==============================] - 0s 9ms/step - loss: 13247.3223 - mean_squared_error: 13247.3223 - val_loss: 13478.3555 - val_mean_squared_error: 13478.3555\n", - "Epoch 10/1000\n", - "25/25 [==============================] - 0s 6ms/step - loss: 13133.2412 - mean_squared_error: 13133.2412 - val_loss: 13354.2373 - val_mean_squared_error: 13354.2373\n", - "Epoch 11/1000\n", - "25/25 [==============================] - 0s 12ms/step - loss: 13012.1133 - mean_squared_error: 13012.1133 - val_loss: 13219.6787 - val_mean_squared_error: 13219.6787\n", - "Epoch 12/1000\n", - "25/25 [==============================] - 0s 8ms/step - loss: 12885.1787 - mean_squared_error: 12885.1787 - val_loss: 13075.8779 - val_mean_squared_error: 13075.8779\n", - "Epoch 13/1000\n", - "25/25 [==============================] - 0s 6ms/step - loss: 12754.3867 - mean_squared_error: 12754.3867 - val_loss: 12924.1504 - val_mean_squared_error: 12924.1504\n", - "Epoch 14/1000\n", - "25/25 [==============================] - 0s 7ms/step - loss: 12616.6445 - mean_squared_error: 12616.6445 - val_loss: 12767.9951 - val_mean_squared_error: 12767.9951\n", - "Epoch 15/1000\n", - "25/25 [==============================] - 0s 7ms/step - loss: 12474.3076 - mean_squared_error: 12474.3076 - val_loss: 12610.6025 - val_mean_squared_error: 12610.6025\n", - "Epoch 16/1000\n", - "25/25 [==============================] - 0s 9ms/step - loss: 12325.8789 - mean_squared_error: 12325.8789 - val_loss: 12453.5928 - val_mean_squared_error: 12453.5928\n", - "Epoch 17/1000\n", - "25/25 [==============================] - 0s 8ms/step - loss: 12173.9902 - mean_squared_error: 12173.9902 - val_loss: 12297.6191 - val_mean_squared_error: 12297.6191\n", - "Epoch 18/1000\n", - "25/25 [==============================] - 0s 5ms/step - loss: 12014.6836 - mean_squared_error: 12014.6836 - val_loss: 12145.8047 - val_mean_squared_error: 12145.8047\n", - "Epoch 19/1000\n", - "25/25 [==============================] - 0s 4ms/step - loss: 11852.3633 - mean_squared_error: 11852.3633 - 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"Epoch 287/1000\n", - "25/25 [==============================] - 0s 4ms/step - loss: 113.1424 - mean_squared_error: 113.1424 - val_loss: 25.9125 - val_mean_squared_error: 25.9125\n", - "Epoch 288/1000\n", - "25/25 [==============================] - 0s 5ms/step - loss: 88.1171 - mean_squared_error: 88.1171 - val_loss: 25.6708 - val_mean_squared_error: 25.6708\n", - "Minimum validation loss: 24.900043487548828\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "early_stopping = callbacks.EarlyStopping(\n", - " min_delta=0.001, \n", - " patience=20, \n", - " restore_best_weights=True,\n", - ")\n", - "\n", - "model = keras.Sequential([\n", - " layers.Dense(units=10, activation='relu', input_shape=[5]),\n", - " layers.BatchNormalization(),\n", - " layers.Dense(units=1),\n", - "])\n", - "\n", - "model.compile(\n", - " optimizer='adam',\n", - " loss='mse',\n", - " metrics=[tf.keras.metrics.MeanSquaredError()]\n", - ")\n", - "\n", - "history = model.fit(\n", - " X_train, y_train,\n", - " validation_data=(X_val, y_val),\n", - " batch_size=256,\n", - " epochs=1000,\n", - " callbacks=[early_stopping],\n", - " verbose=1, \n", - ")\n", - "\n", - "history_df = pd.DataFrame(history.history)\n", - "history_df.loc[:, ['loss', 'val_loss']].plot();\n", - "print(\"Minimum validation loss: {}\".format(history_df['val_loss'].min()))" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "aS0ROZa402Lo", - "outputId": "5b4d40da-10c6-41df-914f-4866b0d410c5" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "MSE: 25.362564086914062\n" - ] - } - ], - "source": [ - "test_loss, test_acc = model.evaluate(X_test,y_test,verbose=0)\n", - "y_pred=model.predict(X_test)\n", - "print('\\nMSE:',test_acc)" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "BFOXRVSajhbG", - "outputId": "59e37631-dcd7-4ac3-971c-411555155c0f" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9981808522138836\n" - ] - } - ], - "source": [ - "accu = r2_score(y_test,y_pred.squeeze()) \n", - "print(\"Accuracy:\", accu)" - ] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "collapsed_sections": [], - "name": "A2_200914.ipynb", - "provenance": [] - }, - "gpuClass": "standard", - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file diff --git a/Assignment 2/A2_200988 .ipynb b/Assignment 2/A2_200988 .ipynb deleted file mode 100644 index 11d5de9..0000000 --- a/Assignment 2/A2_200988 .ipynb +++ /dev/null @@ -1,1088 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A2_200988 .ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "id": "hgpG3WDuypfa", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "61e8b71d-25c9-48ac-a62b-4e5180818194" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(80, 5)\n", - "400\n", - "(20, 5)\n", - "(80,)\n", - "(20,)\n" - ] - } - ], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "X_train, X_test = X_train / 255.0, X_test / 255.0 #to bring the samples in a range of 0 to 1 \n", - "print(X_train.shape)\n", - "print(X_train.size)\n", - "print(X_test.shape)\n", - "print(y_train.shape)\n", - "print(y_test.shape)" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.plot(X_train[0:8000,0],y_train, 'o r')\n", - "plt.show()\n", - "plt.plot(X_train[0:8000,1],y_train, 'o b')\n", - "plt.show()\n", - "plt.plot(X_train[0:8000,2],y_train, 'o c')\n", - "plt.show()\n", - "plt.plot(X_train[0:8000,3],y_train, 'o m')\n", - "plt.show()\n", - "plt.plot(X_train[0:8000,4],y_train, 'o k')\n", - "plt.show()\n", - "plt.plot(X_test,y_test, 'o g')\n", - "plt.show()\n", - "plt.plot(X,y, 'o y')\n", - "plt.show()" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "619ef818-099a-4f72-f3a5-7d9b7152c0cd" - }, - "execution_count": 27, - "outputs": [ - { - "output_type": "display_data", - "data": { - 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\n" 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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from keras import optimizers\n", - "\n", - "# Your code here\n", - "model = tf.keras.models.Sequential([ \n", - " tf.keras.layers.Dense(5), #hidden layer\n", - " tf.keras.layers.Dense(5), #hidden layer\n", - " tf.keras.layers.Dense(1) #output layer\n", - "])\n", - "\n", - "optim=tf.keras.optimizers.SGD(clipvalue=3)\n", - "model.compile(optimizer=optim,\n", - " loss='mean_squared_error')\n", - "history = model.fit(X_train, y_train, epochs=200,validation_data=(X_test, y_test), verbose=2)\n", - "train_mse = model.evaluate(X_train, y_train, verbose=2)\n", - "test_mse = model.evaluate(X_test, y_test, verbose=2)\n", - "print((train_mse, test_mse))\n" - ], - "metadata": { - "id": "r32N1xK2ziOs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "cdf86d00-ddc6-462a-a738-f06f46d0e504" - }, - "execution_count": 37, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/200\n", - "250/250 - 1s - loss: 13780.7305 - val_loss: 13906.7598 - 552ms/epoch - 2ms/step\n", - "Epoch 2/200\n", - "250/250 - 0s - loss: 11027.6582 - val_loss: 5485.7568 - 256ms/epoch - 1ms/step\n", - "Epoch 3/200\n", - "250/250 - 0s - loss: 1616.2451 - val_loss: 1713.4545 - 258ms/epoch - 1ms/step\n", - "Epoch 4/200\n", - "250/250 - 0s - loss: 768.9679 - val_loss: 1169.3634 - 259ms/epoch - 1ms/step\n", - "Epoch 5/200\n", - "250/250 - 0s - loss: 537.5352 - val_loss: 785.6177 - 253ms/epoch - 1ms/step\n", - "Epoch 6/200\n", - "250/250 - 0s - loss: 391.8484 - val_loss: 563.5265 - 257ms/epoch - 1ms/step\n", - "Epoch 7/200\n", - "250/250 - 0s - loss: 309.6421 - val_loss: 411.9932 - 255ms/epoch - 1ms/step\n", - "Epoch 8/200\n", - "250/250 - 0s - loss: 242.9436 - val_loss: 302.4657 - 253ms/epoch - 1ms/step\n", - "Epoch 9/200\n", - "250/250 - 0s - loss: 202.6954 - val_loss: 217.0942 - 238ms/epoch - 951us/step\n", - "Epoch 10/200\n", - "250/250 - 0s - loss: 178.4311 - val_loss: 186.3521 - 236ms/epoch - 945us/step\n", - "Epoch 11/200\n", - "250/250 - 0s - loss: 163.8067 - val_loss: 166.2284 - 264ms/epoch - 1ms/step\n", - "Epoch 12/200\n", - "250/250 - 0s - loss: 151.7133 - val_loss: 141.2429 - 241ms/epoch - 964us/step\n", - "Epoch 13/200\n", - "250/250 - 0s - loss: 139.0781 - val_loss: 124.8626 - 235ms/epoch - 939us/step\n", - "Epoch 14/200\n", - "250/250 - 0s - loss: 129.3170 - val_loss: 129.4272 - 257ms/epoch - 1ms/step\n", - "Epoch 15/200\n", - "250/250 - 0s - loss: 124.3940 - val_loss: 119.2794 - 258ms/epoch - 1ms/step\n", - "Epoch 16/200\n", - "250/250 - 0s - loss: 115.8532 - val_loss: 123.7044 - 255ms/epoch - 1ms/step\n", - "Epoch 17/200\n", - "250/250 - 0s - loss: 112.8466 - val_loss: 113.6268 - 228ms/epoch - 912us/step\n", - "Epoch 18/200\n", - "250/250 - 0s - loss: 108.0271 - val_loss: 109.1736 - 253ms/epoch - 1ms/step\n", - "Epoch 19/200\n", - "250/250 - 0s - loss: 105.7837 - val_loss: 107.5337 - 236ms/epoch - 944us/step\n", - "Epoch 20/200\n", - "250/250 - 0s - loss: 101.5215 - val_loss: 106.6705 - 239ms/epoch - 956us/step\n", - "Epoch 21/200\n", - "250/250 - 0s - loss: 98.4445 - val_loss: 90.9741 - 257ms/epoch - 1ms/step\n", - "Epoch 22/200\n", - "250/250 - 0s - loss: 97.4483 - val_loss: 87.2363 - 234ms/epoch - 937us/step\n", - "Epoch 23/200\n", - "250/250 - 0s - loss: 92.0677 - val_loss: 96.3080 - 262ms/epoch - 1ms/step\n", - "Epoch 24/200\n", - "250/250 - 0s - loss: 91.3627 - val_loss: 89.1435 - 257ms/epoch - 1ms/step\n", - "Epoch 25/200\n", - "250/250 - 0s - loss: 89.6752 - val_loss: 95.7440 - 262ms/epoch - 1ms/step\n", - "Epoch 26/200\n", - "250/250 - 0s - loss: 85.7374 - val_loss: 93.1066 - 252ms/epoch - 1ms/step\n", - "Epoch 27/200\n", - "250/250 - 0s - loss: 85.0011 - val_loss: 84.3377 - 263ms/epoch - 1ms/step\n", - "Epoch 28/200\n", - "250/250 - 0s - loss: 84.4947 - val_loss: 80.0079 - 258ms/epoch - 1ms/step\n", - "Epoch 29/200\n", - "250/250 - 0s - loss: 81.8345 - val_loss: 81.0556 - 259ms/epoch - 1ms/step\n", - "Epoch 30/200\n", - "250/250 - 0s - loss: 81.2425 - val_loss: 71.3363 - 256ms/epoch - 1ms/step\n", - "Epoch 31/200\n", - "250/250 - 0s - loss: 80.4737 - val_loss: 76.5371 - 238ms/epoch - 953us/step\n", - "Epoch 32/200\n", - "250/250 - 0s - loss: 77.4023 - val_loss: 76.3166 - 239ms/epoch - 956us/step\n", - "Epoch 33/200\n", - "250/250 - 0s - loss: 76.5646 - val_loss: 80.8072 - 258ms/epoch - 1ms/step\n", - "Epoch 34/200\n", - "250/250 - 0s - loss: 76.6328 - val_loss: 70.0536 - 250ms/epoch - 1ms/step\n", - "Epoch 35/200\n", - "250/250 - 0s - loss: 74.9075 - val_loss: 73.3027 - 259ms/epoch - 1ms/step\n", - "Epoch 36/200\n", - "250/250 - 0s - loss: 73.6488 - val_loss: 70.6046 - 240ms/epoch - 959us/step\n", - "Epoch 37/200\n", - "250/250 - 0s - loss: 73.7105 - val_loss: 75.8597 - 247ms/epoch - 990us/step\n", - "Epoch 38/200\n", - "250/250 - 0s - loss: 73.6360 - val_loss: 67.9655 - 262ms/epoch - 1ms/step\n", - "Epoch 39/200\n", - "250/250 - 0s - loss: 71.5477 - val_loss: 60.1718 - 258ms/epoch - 1ms/step\n", - "Epoch 40/200\n", - "250/250 - 0s - loss: 71.2478 - val_loss: 65.0939 - 278ms/epoch - 1ms/step\n", - "Epoch 41/200\n", - "250/250 - 0s - loss: 69.6063 - val_loss: 64.6367 - 254ms/epoch - 1ms/step\n", - "Epoch 42/200\n", - "250/250 - 0s - loss: 68.5812 - val_loss: 68.1731 - 243ms/epoch - 973us/step\n", - "Epoch 43/200\n", - "250/250 - 0s - loss: 68.4397 - val_loss: 68.9109 - 271ms/epoch - 1ms/step\n", - "Epoch 44/200\n", - "250/250 - 0s - loss: 67.9453 - val_loss: 68.4494 - 234ms/epoch - 937us/step\n", - "Epoch 45/200\n", - "250/250 - 0s - loss: 66.1590 - val_loss: 65.7844 - 235ms/epoch - 938us/step\n", - "Epoch 46/200\n", - "250/250 - 0s - loss: 67.0373 - val_loss: 63.1617 - 263ms/epoch - 1ms/step\n", - "Epoch 47/200\n", - "250/250 - 0s - loss: 67.5017 - val_loss: 64.6934 - 252ms/epoch - 1ms/step\n", - "Epoch 48/200\n", - "250/250 - 0s - loss: 64.8574 - val_loss: 63.7547 - 239ms/epoch - 957us/step\n", - "Epoch 49/200\n", - "250/250 - 0s - loss: 64.9242 - val_loss: 60.5197 - 251ms/epoch - 1ms/step\n", - "Epoch 50/200\n", - "250/250 - 0s - loss: 65.0879 - val_loss: 62.8325 - 235ms/epoch - 940us/step\n", - "Epoch 51/200\n", - "250/250 - 0s - loss: 65.4058 - val_loss: 59.2155 - 238ms/epoch - 953us/step\n", - "Epoch 52/200\n", - "250/250 - 0s - loss: 63.4275 - val_loss: 61.1057 - 243ms/epoch - 973us/step\n", - "Epoch 53/200\n", - "250/250 - 0s - loss: 62.3919 - val_loss: 60.5536 - 253ms/epoch - 1ms/step\n", - "Epoch 54/200\n", - "250/250 - 0s - loss: 63.9517 - val_loss: 56.2570 - 260ms/epoch - 1ms/step\n", - "Epoch 55/200\n", - "250/250 - 0s - loss: 63.1182 - val_loss: 61.1513 - 234ms/epoch - 937us/step\n", - "Epoch 56/200\n", - "250/250 - 0s - loss: 62.4375 - val_loss: 59.2391 - 264ms/epoch - 1ms/step\n", - "Epoch 57/200\n", - "250/250 - 0s - loss: 60.5570 - val_loss: 60.4190 - 233ms/epoch - 933us/step\n", - "Epoch 58/200\n", - "250/250 - 0s - loss: 61.1250 - val_loss: 55.8711 - 236ms/epoch - 943us/step\n", - "Epoch 59/200\n", - "250/250 - 0s - loss: 62.0227 - val_loss: 65.7532 - 255ms/epoch - 1ms/step\n", - "Epoch 60/200\n", - "250/250 - 0s - loss: 60.4025 - val_loss: 62.5867 - 247ms/epoch - 988us/step\n", - "Epoch 61/200\n", - "250/250 - 0s - loss: 60.1988 - val_loss: 61.3488 - 257ms/epoch - 1ms/step\n", - "Epoch 62/200\n", - "250/250 - 0s - loss: 60.4155 - val_loss: 59.3406 - 261ms/epoch - 1ms/step\n", - "Epoch 63/200\n", - "250/250 - 0s - loss: 59.5295 - val_loss: 69.8308 - 254ms/epoch - 1ms/step\n", - "Epoch 64/200\n", - "250/250 - 0s - loss: 59.1381 - val_loss: 58.3467 - 252ms/epoch - 1ms/step\n", - "Epoch 65/200\n", - "250/250 - 0s - loss: 57.9183 - val_loss: 62.6620 - 250ms/epoch - 1000us/step\n", - "Epoch 66/200\n", - "250/250 - 0s - loss: 58.9652 - val_loss: 59.4594 - 233ms/epoch - 931us/step\n", - "Epoch 67/200\n", - "250/250 - 0s - loss: 58.7557 - val_loss: 54.8688 - 255ms/epoch - 1ms/step\n", - "Epoch 68/200\n", - "250/250 - 0s - loss: 57.8249 - val_loss: 52.2605 - 253ms/epoch - 1ms/step\n", - "Epoch 69/200\n", - "250/250 - 0s - loss: 58.0653 - val_loss: 51.8094 - 256ms/epoch - 1ms/step\n", - "Epoch 70/200\n", - "250/250 - 0s - loss: 56.9694 - val_loss: 53.4528 - 236ms/epoch - 944us/step\n", - "Epoch 71/200\n", - "250/250 - 0s - loss: 56.0675 - val_loss: 53.1533 - 259ms/epoch - 1ms/step\n", - "Epoch 72/200\n", - "250/250 - 0s - loss: 55.5712 - val_loss: 54.6748 - 261ms/epoch - 1ms/step\n", - "Epoch 73/200\n", - "250/250 - 0s - loss: 55.9672 - val_loss: 54.0992 - 234ms/epoch - 935us/step\n", - "Epoch 74/200\n", - "250/250 - 0s - loss: 57.4440 - val_loss: 50.2600 - 253ms/epoch - 1ms/step\n", - "Epoch 75/200\n", - "250/250 - 0s - loss: 55.3422 - val_loss: 56.6011 - 259ms/epoch - 1ms/step\n", - "Epoch 76/200\n", - "250/250 - 0s - loss: 55.4071 - val_loss: 56.1991 - 253ms/epoch - 1ms/step\n", - "Epoch 77/200\n", - "250/250 - 0s - loss: 55.1226 - val_loss: 49.4590 - 236ms/epoch - 943us/step\n", - "Epoch 78/200\n", - "250/250 - 0s - loss: 56.1260 - val_loss: 53.1305 - 234ms/epoch - 936us/step\n", - "Epoch 79/200\n", - "250/250 - 0s - loss: 54.6561 - val_loss: 52.4887 - 230ms/epoch - 919us/step\n", - "Epoch 80/200\n", - "250/250 - 0s - loss: 55.6230 - val_loss: 54.2280 - 259ms/epoch - 1ms/step\n", - "Epoch 81/200\n", - "250/250 - 0s - loss: 54.5106 - val_loss: 55.0162 - 238ms/epoch - 953us/step\n", - "Epoch 82/200\n", - "250/250 - 0s - loss: 54.3374 - val_loss: 50.7487 - 264ms/epoch - 1ms/step\n", - "Epoch 83/200\n", - "250/250 - 0s - loss: 55.2835 - val_loss: 57.0712 - 263ms/epoch - 1ms/step\n", - "Epoch 84/200\n", - "250/250 - 0s - loss: 54.1676 - val_loss: 52.3400 - 238ms/epoch - 953us/step\n", - "Epoch 85/200\n", - "250/250 - 0s - loss: 54.0923 - val_loss: 50.3305 - 245ms/epoch - 978us/step\n", - "Epoch 86/200\n", - "250/250 - 0s - loss: 52.6543 - val_loss: 47.3913 - 234ms/epoch - 937us/step\n", - "Epoch 87/200\n", - "250/250 - 0s - loss: 55.2744 - val_loss: 53.5486 - 255ms/epoch - 1ms/step\n", - "Epoch 88/200\n", - "250/250 - 0s - loss: 53.4298 - val_loss: 58.4321 - 256ms/epoch - 1ms/step\n", - "Epoch 89/200\n", - "250/250 - 0s - loss: 53.4509 - val_loss: 49.8930 - 259ms/epoch - 1ms/step\n", - "Epoch 90/200\n", - "250/250 - 0s - loss: 52.8938 - val_loss: 51.1027 - 232ms/epoch - 929us/step\n", - "Epoch 91/200\n", - "250/250 - 0s - loss: 53.7773 - val_loss: 49.8532 - 233ms/epoch - 930us/step\n", - "Epoch 92/200\n", - "250/250 - 0s - loss: 52.2101 - val_loss: 65.8231 - 257ms/epoch - 1ms/step\n", - "Epoch 93/200\n", - "250/250 - 0s - loss: 51.5443 - val_loss: 51.4974 - 244ms/epoch - 976us/step\n", - "Epoch 94/200\n", - "250/250 - 0s - loss: 51.5434 - val_loss: 48.9056 - 240ms/epoch - 960us/step\n", - "Epoch 95/200\n", - "250/250 - 0s - loss: 51.8446 - val_loss: 51.0461 - 243ms/epoch - 971us/step\n", - "Epoch 96/200\n", - "250/250 - 0s - loss: 51.9344 - val_loss: 52.2590 - 242ms/epoch - 970us/step\n", - "Epoch 97/200\n", - "250/250 - 0s - loss: 52.2617 - val_loss: 52.4578 - 248ms/epoch - 992us/step\n", - "Epoch 98/200\n", - "250/250 - 0s - loss: 52.1034 - val_loss: 51.2317 - 238ms/epoch - 950us/step\n", - "Epoch 99/200\n", - "250/250 - 0s - loss: 50.9618 - val_loss: 48.2808 - 259ms/epoch - 1ms/step\n", - "Epoch 100/200\n", - "250/250 - 0s - loss: 51.8611 - val_loss: 55.9525 - 244ms/epoch - 976us/step\n", - "Epoch 101/200\n", - "250/250 - 0s - loss: 51.4096 - val_loss: 50.6278 - 245ms/epoch - 982us/step\n", - "Epoch 102/200\n", - "250/250 - 0s - loss: 51.0699 - val_loss: 48.2073 - 259ms/epoch - 1ms/step\n", - "Epoch 103/200\n", - "250/250 - 0s - loss: 50.7340 - val_loss: 49.0355 - 237ms/epoch - 950us/step\n", - "Epoch 104/200\n", - "250/250 - 0s - loss: 52.2222 - val_loss: 50.3114 - 245ms/epoch - 981us/step\n", - "Epoch 105/200\n", - "250/250 - 0s - loss: 50.7067 - val_loss: 67.1227 - 259ms/epoch - 1ms/step\n", - "Epoch 106/200\n", - "250/250 - 0s - loss: 51.3486 - val_loss: 52.1265 - 235ms/epoch - 942us/step\n", - "Epoch 107/200\n", - "250/250 - 0s - loss: 50.3560 - val_loss: 47.6430 - 246ms/epoch - 983us/step\n", - "Epoch 108/200\n", - "250/250 - 0s - loss: 50.5826 - val_loss: 45.6468 - 254ms/epoch - 1ms/step\n", - "Epoch 109/200\n", - "250/250 - 0s - loss: 49.6297 - val_loss: 49.4876 - 243ms/epoch - 971us/step\n", - "Epoch 110/200\n", - "250/250 - 0s - loss: 50.5982 - val_loss: 47.0018 - 240ms/epoch - 960us/step\n", - "Epoch 111/200\n", - "250/250 - 0s - loss: 50.2337 - val_loss: 47.1806 - 234ms/epoch - 935us/step\n", - "Epoch 112/200\n", - "250/250 - 0s - loss: 50.3697 - val_loss: 48.8439 - 233ms/epoch - 930us/step\n", - "Epoch 113/200\n", - "250/250 - 0s - loss: 49.5654 - val_loss: 46.8331 - 268ms/epoch - 1ms/step\n", - "Epoch 114/200\n", - "250/250 - 0s - loss: 49.8971 - val_loss: 46.6573 - 240ms/epoch - 960us/step\n", - "Epoch 115/200\n", - "250/250 - 0s - loss: 49.6320 - val_loss: 44.8514 - 259ms/epoch - 1ms/step\n", - "Epoch 116/200\n", - "250/250 - 0s - loss: 50.2455 - val_loss: 46.7415 - 255ms/epoch - 1ms/step\n", - "Epoch 117/200\n", - "250/250 - 0s - loss: 49.7277 - val_loss: 43.8105 - 250ms/epoch - 1000us/step\n", - "Epoch 118/200\n", - "250/250 - 0s - loss: 48.6883 - val_loss: 46.9170 - 255ms/epoch - 1ms/step\n", - "Epoch 119/200\n", - "250/250 - 0s - loss: 48.8962 - val_loss: 49.4522 - 226ms/epoch - 902us/step\n", - "Epoch 120/200\n", - "250/250 - 0s - loss: 49.4389 - val_loss: 46.6337 - 230ms/epoch - 921us/step\n", - "Epoch 121/200\n", - "250/250 - 0s - loss: 49.4878 - val_loss: 42.0229 - 238ms/epoch - 951us/step\n", - "Epoch 122/200\n", - "250/250 - 0s - loss: 48.5144 - val_loss: 54.6917 - 246ms/epoch - 985us/step\n", - "Epoch 123/200\n", - "250/250 - 0s - loss: 49.6241 - val_loss: 55.3166 - 255ms/epoch - 1ms/step\n", - "Epoch 124/200\n", - "250/250 - 0s - loss: 48.2398 - val_loss: 46.6669 - 265ms/epoch - 1ms/step\n", - "Epoch 125/200\n", - "250/250 - 0s - loss: 48.3642 - val_loss: 40.8556 - 277ms/epoch - 1ms/step\n", - "Epoch 126/200\n", - "250/250 - 0s - loss: 48.7661 - val_loss: 45.7123 - 253ms/epoch - 1ms/step\n", - "Epoch 127/200\n", - "250/250 - 0s - loss: 48.3934 - val_loss: 48.6449 - 240ms/epoch - 962us/step\n", - "Epoch 128/200\n", - "250/250 - 0s - loss: 47.6277 - val_loss: 45.6044 - 265ms/epoch - 1ms/step\n", - "Epoch 129/200\n", - "250/250 - 0s - loss: 47.3585 - val_loss: 43.3681 - 241ms/epoch - 964us/step\n", - "Epoch 130/200\n", - "250/250 - 0s - loss: 47.8800 - val_loss: 46.8413 - 239ms/epoch - 955us/step\n", - "Epoch 131/200\n", - "250/250 - 0s - loss: 48.6174 - val_loss: 42.2899 - 237ms/epoch - 947us/step\n", - "Epoch 132/200\n", - "250/250 - 0s - loss: 48.4172 - val_loss: 45.9648 - 232ms/epoch - 929us/step\n", - "Epoch 133/200\n", - "250/250 - 0s - loss: 46.6470 - val_loss: 44.7003 - 238ms/epoch - 951us/step\n", - "Epoch 134/200\n", - "250/250 - 0s - loss: 46.9896 - val_loss: 41.8278 - 259ms/epoch - 1ms/step\n", - "Epoch 135/200\n", - "250/250 - 0s - loss: 46.8583 - val_loss: 54.4482 - 263ms/epoch - 1ms/step\n", - "Epoch 136/200\n", - "250/250 - 0s - loss: 46.3234 - val_loss: 44.6784 - 235ms/epoch - 940us/step\n", - "Epoch 137/200\n", - "250/250 - 0s - loss: 46.7123 - val_loss: 46.5595 - 251ms/epoch - 1ms/step\n", - "Epoch 138/200\n", - "250/250 - 0s - loss: 46.3700 - val_loss: 47.3528 - 255ms/epoch - 1ms/step\n", - "Epoch 139/200\n", - "250/250 - 0s - loss: 46.8508 - val_loss: 44.5566 - 248ms/epoch - 990us/step\n", - "Epoch 140/200\n", - "250/250 - 0s - loss: 46.1564 - val_loss: 45.5804 - 267ms/epoch - 1ms/step\n", - "Epoch 141/200\n", - "250/250 - 0s - loss: 46.5216 - val_loss: 47.6772 - 272ms/epoch - 1ms/step\n", - "Epoch 142/200\n", - "250/250 - 0s - loss: 45.6652 - val_loss: 45.7999 - 258ms/epoch - 1ms/step\n", - "Epoch 143/200\n", - "250/250 - 0s - loss: 46.3129 - val_loss: 50.8445 - 263ms/epoch - 1ms/step\n", - "Epoch 144/200\n", - "250/250 - 0s - loss: 46.0374 - val_loss: 45.9422 - 257ms/epoch - 1ms/step\n", - "Epoch 145/200\n", - "250/250 - 0s - loss: 45.8244 - val_loss: 45.2053 - 242ms/epoch - 967us/step\n", - "Epoch 146/200\n", - "250/250 - 0s - loss: 46.0667 - val_loss: 48.7478 - 256ms/epoch - 1ms/step\n", - "Epoch 147/200\n", - "250/250 - 0s - loss: 45.2802 - val_loss: 44.7311 - 267ms/epoch - 1ms/step\n", - "Epoch 148/200\n", - "250/250 - 0s - loss: 45.3696 - val_loss: 44.6161 - 236ms/epoch - 943us/step\n", - "Epoch 149/200\n", - "250/250 - 0s - loss: 45.9949 - val_loss: 43.8986 - 244ms/epoch - 975us/step\n", - "Epoch 150/200\n", - "250/250 - 0s - loss: 45.7042 - val_loss: 50.5415 - 235ms/epoch - 939us/step\n", - "Epoch 151/200\n", - "250/250 - 0s - loss: 45.5683 - val_loss: 53.0127 - 242ms/epoch - 969us/step\n", - "Epoch 152/200\n", - "250/250 - 0s - loss: 45.2853 - val_loss: 42.9415 - 234ms/epoch - 937us/step\n", - "Epoch 153/200\n", - "250/250 - 0s - loss: 44.6951 - val_loss: 47.4765 - 264ms/epoch - 1ms/step\n", - "Epoch 154/200\n", - "250/250 - 0s - loss: 45.1652 - val_loss: 43.2864 - 239ms/epoch - 956us/step\n", - "Epoch 155/200\n", - "250/250 - 0s - loss: 45.1812 - val_loss: 40.7662 - 265ms/epoch - 1ms/step\n", - "Epoch 156/200\n", - "250/250 - 0s - loss: 44.7005 - val_loss: 48.5500 - 231ms/epoch - 922us/step\n", - "Epoch 157/200\n", - "250/250 - 0s - loss: 45.7905 - val_loss: 53.8104 - 263ms/epoch - 1ms/step\n", - "Epoch 158/200\n", - "250/250 - 0s - loss: 45.3710 - val_loss: 38.3534 - 258ms/epoch - 1ms/step\n", - "Epoch 159/200\n", - "250/250 - 0s - loss: 44.6281 - val_loss: 51.0718 - 237ms/epoch - 947us/step\n", - "Epoch 160/200\n", - "250/250 - 0s - loss: 45.2532 - val_loss: 42.1584 - 268ms/epoch - 1ms/step\n", - "Epoch 161/200\n", - "250/250 - 0s - loss: 44.5725 - val_loss: 46.9760 - 251ms/epoch - 1ms/step\n", - "Epoch 162/200\n", - "250/250 - 0s - loss: 43.5923 - val_loss: 43.3383 - 266ms/epoch - 1ms/step\n", - "Epoch 163/200\n", - "250/250 - 0s - loss: 43.9651 - val_loss: 41.6751 - 267ms/epoch - 1ms/step\n", - "Epoch 164/200\n", - "250/250 - 0s - loss: 44.5596 - val_loss: 40.1122 - 252ms/epoch - 1ms/step\n", - "Epoch 165/200\n", - "250/250 - 0s - loss: 43.8199 - val_loss: 39.2871 - 251ms/epoch - 1ms/step\n", - "Epoch 166/200\n", - "250/250 - 0s - loss: 44.3779 - val_loss: 40.1142 - 249ms/epoch - 997us/step\n", - "Epoch 167/200\n", - "250/250 - 0s - loss: 43.3404 - val_loss: 42.0506 - 240ms/epoch - 958us/step\n", - "Epoch 168/200\n", - "250/250 - 0s - loss: 44.3902 - val_loss: 41.5759 - 241ms/epoch - 965us/step\n", - "Epoch 169/200\n", - "250/250 - 0s - loss: 43.2450 - val_loss: 51.6482 - 237ms/epoch - 948us/step\n", - "Epoch 170/200\n", - "250/250 - 0s - loss: 43.4937 - val_loss: 47.2063 - 233ms/epoch - 933us/step\n", - "Epoch 171/200\n", - "250/250 - 0s - loss: 44.6077 - val_loss: 38.2699 - 262ms/epoch - 1ms/step\n", - "Epoch 172/200\n", - "250/250 - 0s - loss: 43.6243 - val_loss: 42.8814 - 264ms/epoch - 1ms/step\n", - "Epoch 173/200\n", - "250/250 - 0s - loss: 42.6336 - val_loss: 45.8073 - 277ms/epoch - 1ms/step\n", - "Epoch 174/200\n", - "250/250 - 0s - loss: 42.7013 - val_loss: 43.2698 - 256ms/epoch - 1ms/step\n", - "Epoch 175/200\n", - "250/250 - 0s - loss: 43.0672 - val_loss: 36.8613 - 264ms/epoch - 1ms/step\n", - "Epoch 176/200\n", - "250/250 - 0s - loss: 43.5499 - val_loss: 36.0567 - 245ms/epoch - 981us/step\n", - "Epoch 177/200\n", - "250/250 - 0s - loss: 42.5108 - val_loss: 45.2069 - 253ms/epoch - 1ms/step\n", - "Epoch 178/200\n", - "250/250 - 0s - loss: 42.7194 - val_loss: 43.7139 - 242ms/epoch - 967us/step\n", - "Epoch 179/200\n", - "250/250 - 0s - loss: 42.8238 - val_loss: 41.4009 - 244ms/epoch - 977us/step\n", - "Epoch 180/200\n", - "250/250 - 0s - loss: 42.3492 - val_loss: 41.3327 - 250ms/epoch - 1000us/step\n", - "Epoch 181/200\n", - "250/250 - 0s - loss: 43.3410 - val_loss: 39.4403 - 253ms/epoch - 1ms/step\n", - "Epoch 182/200\n", - "250/250 - 0s - loss: 42.4704 - val_loss: 39.4224 - 262ms/epoch - 1ms/step\n", - "Epoch 183/200\n", - "250/250 - 0s - loss: 42.4485 - val_loss: 42.4013 - 273ms/epoch - 1ms/step\n", - "Epoch 184/200\n", - "250/250 - 0s - loss: 42.6591 - val_loss: 42.1437 - 232ms/epoch - 930us/step\n", - "Epoch 185/200\n", - "250/250 - 0s - loss: 41.7958 - val_loss: 38.9694 - 251ms/epoch - 1ms/step\n", - "Epoch 186/200\n", - "250/250 - 0s - loss: 42.4435 - val_loss: 38.7439 - 264ms/epoch - 1ms/step\n", - "Epoch 187/200\n", - "250/250 - 0s - loss: 41.6851 - val_loss: 44.5505 - 247ms/epoch - 987us/step\n", - "Epoch 188/200\n", - "250/250 - 0s - loss: 41.7764 - val_loss: 45.9135 - 237ms/epoch - 947us/step\n", - "Epoch 189/200\n", - "250/250 - 0s - loss: 42.1803 - val_loss: 39.6638 - 245ms/epoch - 979us/step\n", - "Epoch 190/200\n", - "250/250 - 0s - loss: 41.4917 - val_loss: 40.3125 - 236ms/epoch - 946us/step\n", - "Epoch 191/200\n", - "250/250 - 0s - loss: 42.2613 - val_loss: 39.8785 - 252ms/epoch - 1ms/step\n", - "Epoch 192/200\n", - "250/250 - 0s - loss: 41.3530 - val_loss: 38.2541 - 235ms/epoch - 940us/step\n", - "Epoch 193/200\n", - "250/250 - 0s - loss: 41.4887 - val_loss: 40.6574 - 264ms/epoch - 1ms/step\n", - "Epoch 194/200\n", - "250/250 - 0s - loss: 40.7361 - val_loss: 41.8684 - 261ms/epoch - 1ms/step\n", - "Epoch 195/200\n", - "250/250 - 0s - loss: 41.3178 - val_loss: 38.6801 - 265ms/epoch - 1ms/step\n", - "Epoch 196/200\n", - "250/250 - 0s - loss: 40.6875 - val_loss: 38.9923 - 244ms/epoch - 978us/step\n", - "Epoch 197/200\n", - "250/250 - 0s - loss: 41.7339 - val_loss: 44.3946 - 249ms/epoch - 997us/step\n", - "Epoch 198/200\n", - "250/250 - 0s - loss: 41.7255 - val_loss: 38.7292 - 240ms/epoch - 962us/step\n", - "Epoch 199/200\n", - "250/250 - 0s - loss: 41.8690 - val_loss: 39.3759 - 222ms/epoch - 889us/step\n", - "Epoch 200/200\n", - "250/250 - 0s - loss: 41.1624 - val_loss: 41.5756 - 258ms/epoch - 1ms/step\n", - "250/250 - 0s - loss: 42.2046 - 306ms/epoch - 1ms/step\n", - "63/63 - 0s - loss: 41.5756 - 52ms/epoch - 832us/step\n", - "(42.204586029052734, 41.57560729980469)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code here\n", - "plt.title('Loss / Mean Squared Error')\n", - "a_loss=history.history['loss']\n", - "a_loss=a_loss[3:]\n", - "b_loss=history.history['val_loss']\n", - "b_loss=b_loss[3:]\n", - "plt.plot(a_loss, label='training')\n", - "plt.plot(b_loss, label='validation')\n", - "plt.legend()\n", - "plt.show()" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "outputId": "08fff641-0aa1-4c3d-d5d5-df98fda79a61" - }, - "execution_count": 38, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "# Insert the function for R2 Score\n", - "from sklearn.metrics import r2_score\n", - "predictions = model(X_test).numpy()\n", - "accu = r2_score(y_test, predictions) \n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "1773a348-70bc-4ad8-ce94-2bc3ef7ae3c2" - }, - "execution_count": 39, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9970179598829337\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "###The training set of this custom model is the one used in the above part.\n", - "####For optimizer I've used-\n", - "- Adam\n", - "
\n", - "\n", - "####For loss function I've used-\n", - "- Mean Squared Error\n", - "
\n", - "\n", - "####For activation function I've used-\n", - "- Relu\n", - "
\n", - "\n", - ">For the last part using matplotlib I've visualised how the loss (both validation and training) is changing with the number of iterations.\n", - "
\n", - ">I've also imported r2_score to *evaluate the performance* of the model." - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code here" - ], - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "execution_count": 31, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "import matplotlib.pyplot as plt\n", - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from keras import optimizers\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "\n", - "X_train= X_train / 255.0 #to bring the samples in a range of 0 to 1 \n", - "X_test = X_test / 255.0 #to bring the samples in a range of 0 to 1 \n", - "\n", - "model = tf.keras.models.Sequential([\n", - " tf.keras.layers.Dense(28,activation='relu'), #hidden layer\n", - " tf.keras.layers.Dense(10), #hidden layer\n", - " tf.keras.layers.Dense(1) #output layer\n", - "])\n", - "\n", - "model.compile(optimizer='adam',\n", - " loss='mean_squared_error')\n", - "\n", - "history = model.fit(X_train, y_train, epochs=100,validation_data=(X_test, y_test), verbose=2)\n", - "train_mse = model.evaluate(X_train, y_train, verbose=2)\n", - "test_mse = model.evaluate(X_test, y_test, verbose=2)\n", - "\n", - "print(test_mse)\n", - "print(test_mse)\n", - "plt.title('Loss/ Mean Squared Error')\n", - "a_loss=history.history['loss']\n", - "a_loss=a_loss[16:]\n", - "b_loss=history.history['val_loss']\n", - "b_loss=b_loss[16:]\n", - "plt.plot(a_loss, label='training')\n", - "plt.plot(b_loss, label='validation')\n", - "plt.legend()\n", - "plt.show()\n", - "\n", - "from sklearn.metrics import r2_score\n", - "predictions = model(X_test).numpy()\n", - "\n", - "accu = r2_score(y_test, predictions) \n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "28ebbf35-9359-4f54-d23c-1a99055e891b" - }, - "execution_count": 36, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/100\n", - "250/250 - 1s - loss: 13776.3984 - val_loss: 13929.3506 - 629ms/epoch - 3ms/step\n", - "Epoch 2/100\n", - "250/250 - 0s - loss: 13735.3535 - val_loss: 13851.8301 - 264ms/epoch - 1ms/step\n", - "Epoch 3/100\n", - "250/250 - 0s - loss: 13591.9082 - val_loss: 13634.6641 - 268ms/epoch - 1ms/step\n", - "Epoch 4/100\n", - "250/250 - 0s - loss: 13267.9902 - val_loss: 13186.3320 - 262ms/epoch - 1ms/step\n", - "Epoch 5/100\n", - "250/250 - 0s - loss: 12714.3584 - val_loss: 12487.3516 - 282ms/epoch - 1ms/step\n", - "Epoch 6/100\n", - "250/250 - 0s - loss: 11862.8779 - val_loss: 11483.9893 - 271ms/epoch - 1ms/step\n", - "Epoch 7/100\n", - "250/250 - 0s - loss: 10753.8730 - val_loss: 10264.1670 - 267ms/epoch - 1ms/step\n", - "Epoch 8/100\n", - "250/250 - 0s - loss: 9450.8740 - val_loss: 8857.3965 - 260ms/epoch - 1ms/step\n", - "Epoch 9/100\n", - "250/250 - 0s - loss: 8006.9663 - val_loss: 7376.6846 - 291ms/epoch - 1ms/step\n", - "Epoch 10/100\n", - "250/250 - 0s - loss: 6544.7651 - val_loss: 5910.6538 - 265ms/epoch - 1ms/step\n", - "Epoch 11/100\n", - "250/250 - 0s - loss: 5156.2334 - val_loss: 4576.5127 - 281ms/epoch - 1ms/step\n", - "Epoch 12/100\n", - "250/250 - 0s - loss: 3911.5925 - val_loss: 3377.2417 - 284ms/epoch - 1ms/step\n", - "Epoch 13/100\n", - "250/250 - 0s - loss: 2838.0933 - val_loss: 2397.1038 - 272ms/epoch - 1ms/step\n", - "Epoch 14/100\n", - "250/250 - 0s - loss: 1976.1438 - val_loss: 1626.6605 - 279ms/epoch - 1ms/step\n", - "Epoch 15/100\n", - "250/250 - 0s - loss: 1329.6262 - val_loss: 1064.2096 - 287ms/epoch - 1ms/step\n", - "Epoch 16/100\n", - "250/250 - 0s - loss: 865.5035 - val_loss: 674.1942 - 279ms/epoch - 1ms/step\n", - "Epoch 17/100\n", - "250/250 - 0s - loss: 548.0269 - val_loss: 416.3012 - 271ms/epoch - 1ms/step\n", - "Epoch 18/100\n", - "250/250 - 0s - loss: 335.5985 - val_loss: 253.8314 - 285ms/epoch - 1ms/step\n", - "Epoch 19/100\n", - "250/250 - 0s - loss: 202.1918 - val_loss: 150.0286 - 252ms/epoch - 1ms/step\n", - "Epoch 20/100\n", - "250/250 - 0s - loss: 119.1037 - val_loss: 88.0963 - 291ms/epoch - 1ms/step\n", - "Epoch 21/100\n", - "250/250 - 0s - loss: 71.5677 - val_loss: 54.5402 - 266ms/epoch - 1ms/step\n", - "Epoch 22/100\n", - "250/250 - 0s - loss: 45.9877 - val_loss: 39.2286 - 297ms/epoch - 1ms/step\n", - "Epoch 23/100\n", - "250/250 - 0s - loss: 33.5888 - val_loss: 29.8050 - 299ms/epoch - 1ms/step\n", - "Epoch 24/100\n", - "250/250 - 0s - loss: 28.4351 - val_loss: 26.6298 - 281ms/epoch - 1ms/step\n", - "Epoch 25/100\n", - "250/250 - 0s - loss: 26.3559 - val_loss: 25.7703 - 269ms/epoch - 1ms/step\n", - "Epoch 26/100\n", - "250/250 - 0s - loss: 25.8049 - val_loss: 26.5843 - 257ms/epoch - 1ms/step\n", - "Epoch 27/100\n", - "250/250 - 0s - loss: 25.3492 - val_loss: 25.1178 - 284ms/epoch - 1ms/step\n", - "Epoch 28/100\n", - "250/250 - 0s - loss: 25.5991 - val_loss: 24.8906 - 272ms/epoch - 1ms/step\n", - "Epoch 29/100\n", - "250/250 - 0s - loss: 26.1721 - val_loss: 28.5744 - 265ms/epoch - 1ms/step\n", - "Epoch 30/100\n", - "250/250 - 0s - loss: 25.6924 - val_loss: 26.2588 - 267ms/epoch - 1ms/step\n", - "Epoch 31/100\n", - "250/250 - 0s - loss: 25.5859 - val_loss: 24.7471 - 259ms/epoch - 1ms/step\n", - "Epoch 32/100\n", - "250/250 - 0s - loss: 25.6140 - val_loss: 24.8235 - 269ms/epoch - 1ms/step\n", - "Epoch 33/100\n", - "250/250 - 0s - loss: 25.7896 - val_loss: 24.7404 - 272ms/epoch - 1ms/step\n", - "Epoch 34/100\n", - "250/250 - 0s - loss: 25.6709 - val_loss: 25.1226 - 272ms/epoch - 1ms/step\n", - "Epoch 35/100\n", - "250/250 - 0s - loss: 25.8422 - val_loss: 24.6895 - 267ms/epoch - 1ms/step\n", - "Epoch 36/100\n", - "250/250 - 0s - loss: 25.8690 - val_loss: 24.8571 - 288ms/epoch - 1ms/step\n", - "Epoch 37/100\n", - "250/250 - 0s - loss: 25.6915 - val_loss: 25.7850 - 282ms/epoch - 1ms/step\n", - "Epoch 38/100\n", - "Epoch 40/100\n", - "250/250 - 0s - loss: 25.5924 - val_loss: 24.7718 - 290ms/epoch - 1ms/step\n", - "Epoch 41/100\n", - "250/250 - 0s - loss: 26.3986 - val_loss: 24.6669 - 260ms/epoch - 1ms/step\n", - "Epoch 42/100\n", - "250/250 - 0s - loss: 26.2727 - val_loss: 25.5178 - 286ms/epoch - 1ms/step\n", - "Epoch 43/100\n", - "250/250 - 0s - loss: 25.7782 - val_loss: 24.8460 - 265ms/epoch - 1ms/step\n", - "Epoch 44/100\n", - "250/250 - 0s - loss: 26.5318 - val_loss: 26.0238 - 285ms/epoch - 1ms/step\n", - "Epoch 45/100\n", - "250/250 - 0s - loss: 25.8570 - val_loss: 26.4155 - 269ms/epoch - 1ms/step\n", - "Epoch 46/100\n", - "250/250 - 0s - loss: 25.4736 - val_loss: 25.0855 - 291ms/epoch - 1ms/step\n", - "Epoch 47/100\n", - "250/250 - 0s - loss: 25.8646 - val_loss: 24.7057 - 261ms/epoch - 1ms/step\n", - "Epoch 48/100\n", - "250/250 - 0s - loss: 25.7325 - val_loss: 25.0171 - 262ms/epoch - 1ms/step\n", - "Epoch 49/100\n", - "250/250 - 0s - loss: 25.8803 - val_loss: 27.5932 - 280ms/epoch - 1ms/step\n", - "Epoch 50/100\n", - "250/250 - 0s - loss: 25.7396 - val_loss: 24.8122 - 258ms/epoch - 1ms/step\n", - "Epoch 51/100\n", - "250/250 - 0s - loss: 26.0441 - val_loss: 26.6894 - 282ms/epoch - 1ms/step\n", - "Epoch 52/100\n", - "250/250 - 0s - loss: 25.7709 - val_loss: 30.1021 - 287ms/epoch - 1ms/step\n", - "Epoch 53/100\n", - "250/250 - 0s - loss: 25.7729 - val_loss: 27.1320 - 270ms/epoch - 1ms/step\n", - "Epoch 54/100\n", - "250/250 - 0s - loss: 26.1149 - val_loss: 26.7001 - 257ms/epoch - 1ms/step\n", - "Epoch 55/100\n", - "250/250 - 0s - loss: 26.0825 - val_loss: 33.8821 - 269ms/epoch - 1ms/step\n", - "Epoch 56/100\n", - "250/250 - 0s - loss: 25.9202 - val_loss: 24.8736 - 291ms/epoch - 1ms/step\n", - "Epoch 57/100\n", - "250/250 - 0s - loss: 25.8878 - val_loss: 25.2674 - 292ms/epoch - 1ms/step\n", - "Epoch 58/100\n", - "250/250 - 0s - loss: 25.5881 - val_loss: 25.5077 - 267ms/epoch - 1ms/step\n", - "Epoch 59/100\n", - "250/250 - 0s - loss: 26.4459 - val_loss: 24.8408 - 280ms/epoch - 1ms/step\n", - "Epoch 60/100\n", - "250/250 - 0s - loss: 25.6298 - val_loss: 24.6949 - 292ms/epoch - 1ms/step\n", - "Epoch 61/100\n", - "250/250 - 0s - loss: 26.6256 - val_loss: 25.0547 - 294ms/epoch - 1ms/step\n", - "Epoch 62/100\n", - "250/250 - 0s - loss: 26.2175 - val_loss: 24.8977 - 284ms/epoch - 1ms/step\n", - "Epoch 63/100\n", - "250/250 - 0s - loss: 25.4440 - val_loss: 26.1978 - 254ms/epoch - 1ms/step\n", - "Epoch 64/100\n", - "250/250 - 0s - loss: 25.6498 - val_loss: 25.7918 - 281ms/epoch - 1ms/step\n", - "Epoch 65/100\n", - "250/250 - 0s - loss: 26.4271 - val_loss: 24.7401 - 270ms/epoch - 1ms/step\n", - "Epoch 66/100\n", - "250/250 - 0s - loss: 25.5694 - val_loss: 25.8813 - 274ms/epoch - 1ms/step\n", - "Epoch 67/100\n", - "250/250 - 0s - loss: 26.1154 - val_loss: 24.7383 - 283ms/epoch - 1ms/step\n", - "Epoch 68/100\n", - "250/250 - 0s - loss: 26.4785 - val_loss: 24.8916 - 264ms/epoch - 1ms/step\n", - "Epoch 69/100\n", - "250/250 - 0s - loss: 25.9764 - val_loss: 24.9715 - 268ms/epoch - 1ms/step\n", - "Epoch 70/100\n", - "250/250 - 0s - loss: 25.9673 - val_loss: 25.0324 - 276ms/epoch - 1ms/step\n", - "Epoch 71/100\n", - "250/250 - 0s - loss: 25.7996 - val_loss: 27.0795 - 284ms/epoch - 1ms/step\n", - "Epoch 72/100\n", - "250/250 - 0s - loss: 25.7616 - val_loss: 24.6728 - 267ms/epoch - 1ms/step\n", - "Epoch 73/100\n", - "250/250 - 0s - loss: 26.4951 - val_loss: 25.1687 - 283ms/epoch - 1ms/step\n", - "Epoch 74/100\n", - "250/250 - 0s - loss: 25.7001 - val_loss: 25.1161 - 273ms/epoch - 1ms/step\n", - "Epoch 75/100\n", - "250/250 - 0s - loss: 25.5940 - val_loss: 27.9702 - 288ms/epoch - 1ms/step\n", - "Epoch 76/100\n", - "250/250 - 0s - loss: 26.0737 - val_loss: 24.8815 - 290ms/epoch - 1ms/step\n", - "Epoch 77/100\n", - "250/250 - 0s - loss: 25.9362 - val_loss: 25.0840 - 279ms/epoch - 1ms/step\n", - "Epoch 78/100\n", - "250/250 - 0s - loss: 25.7252 - val_loss: 24.9317 - 276ms/epoch - 1ms/step\n", - "Epoch 79/100\n", - "250/250 - 0s - loss: 25.6346 - val_loss: 24.7277 - 285ms/epoch - 1ms/step\n", - "Epoch 80/100\n", - "250/250 - 0s - loss: 25.6988 - val_loss: 26.4264 - 284ms/epoch - 1ms/step\n", - "Epoch 81/100\n", - "250/250 - 0s - loss: 25.8629 - val_loss: 24.6366 - 282ms/epoch - 1ms/step\n", - "Epoch 82/100\n", - "250/250 - 0s - loss: 25.6654 - val_loss: 25.1995 - 284ms/epoch - 1ms/step\n", - "Epoch 83/100\n", - "250/250 - 0s - loss: 25.9565 - val_loss: 24.7430 - 280ms/epoch - 1ms/step\n", - "Epoch 84/100\n", - "250/250 - 0s - loss: 26.9482 - val_loss: 24.6878 - 280ms/epoch - 1ms/step\n", - "Epoch 85/100\n", - "250/250 - 0s - loss: 25.5437 - val_loss: 26.4258 - 257ms/epoch - 1ms/step\n", - "Epoch 86/100\n", - "250/250 - 0s - loss: 27.0005 - val_loss: 27.4571 - 275ms/epoch - 1ms/step\n", - "Epoch 87/100\n", - "250/250 - 0s - loss: 26.1262 - val_loss: 30.3352 - 289ms/epoch - 1ms/step\n", - "Epoch 88/100\n", - "250/250 - 0s - loss: 25.7462 - val_loss: 28.2490 - 279ms/epoch - 1ms/step\n", - "Epoch 89/100\n", - "250/250 - 0s - loss: 25.8444 - val_loss: 24.9364 - 288ms/epoch - 1ms/step\n", - "Epoch 90/100\n", - "250/250 - 0s - loss: 25.9826 - val_loss: 25.3978 - 287ms/epoch - 1ms/step\n", - "Epoch 91/100\n", - "250/250 - 0s - loss: 26.1938 - val_loss: 24.9931 - 271ms/epoch - 1ms/step\n", - "Epoch 92/100\n", - "250/250 - 0s - loss: 25.9151 - val_loss: 25.9177 - 265ms/epoch - 1ms/step\n", - "Epoch 93/100\n", - "250/250 - 0s - loss: 25.7844 - val_loss: 25.2143 - 292ms/epoch - 1ms/step\n", - "Epoch 94/100\n", - "250/250 - 0s - loss: 25.8425 - val_loss: 27.0614 - 260ms/epoch - 1ms/step\n", - "Epoch 95/100\n", - "250/250 - 0s - loss: 26.1608 - val_loss: 24.7681 - 290ms/epoch - 1ms/step\n", - "Epoch 96/100\n", - "250/250 - 0s - loss: 26.0301 - val_loss: 25.3555 - 272ms/epoch - 1ms/step\n", - "Epoch 97/100\n", - "250/250 - 0s - loss: 25.8250 - val_loss: 25.8196 - 283ms/epoch - 1ms/step\n", - "Epoch 98/100\n", - "250/250 - 0s - loss: 25.6347 - val_loss: 28.4780 - 258ms/epoch - 1ms/step\n", - "Epoch 99/100\n", - "250/250 - 0s - loss: 25.8198 - val_loss: 24.6340 - 268ms/epoch - 1ms/step\n", - "Epoch 100/100\n", - "250/250 - 0s - loss: 25.6796 - val_loss: 25.4228 - 272ms/epoch - 1ms/step\n", - "250/250 - 0s - loss: 25.6457 - 298ms/epoch - 1ms/step\n", - "63/63 - 0s - loss: 25.4228 - 54ms/epoch - 860us/step\n", - "25.42278480529785\n", - "25.42278480529785\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9981765327700428\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_200995 (1).ipynb b/Assignment 2/A2_200995 (1).ipynb deleted file mode 100644 index d91e9ab..0000000 --- a/Assignment 2/A2_200995 (1).ipynb +++ /dev/null @@ -1,811 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A2_200995.ipynb", - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "## Assigment 2: Deep Learning" - ], - "metadata": { - "id": "xM2_0mX63MGS" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "b-YzaQ7w3dCs" - } - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "id": "YLwwjNV029Nj" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "dpv4lmI63qGQ" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt" - ], - "metadata": { - "id": "k466ucVF3i8d" - }, - "execution_count": 3, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "for i in range(5):\n", - " plt.scatter(X_train[:,i], y_train)\n", - " plt.scatter(X_test[:,i], y_test)\n", - " plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "PY0k57Fs3lkb", - "outputId": "1fa88d85-9c17-4d28-98b6-cb9bb34f191c" - }, - "execution_count": 4, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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qo50xBa/B2nrveFYdKwKjjH8FM5xKnVacWjNWLXuuPCnCaSCCLt9l6ZbNWqf0O9i/cwtanlmE16uvks6ERQbJOfn0yxoCPGa1zg2pOKZ0bcBknwyejOSxlAV/Re4rjQFfDT3p6SrKFa/Jhd8qi7udumkiSCLJ4DVYO+8dqfKqIjDK+Fcw5Qp8iQwuYUhSoDGgUQ+6fF8ZFadbroy2Cz9rc7bZCY69Aw0k9Zk/ETrP5QffmrnA0y8uYkO6FUkKljvB1T5lDFAU2zILPDWEnMhWHhqDp6soH2STC7/4CwDspM9iT8uzYGt6gRt/l1MwWfnzi4/K9qlggrQcLAV+g07boploe/AlpCxR0IjGXEbdKdsQYsxmXPjrx0ty4Y/HYeF3IMvNXxFux87UZ5EhQmM2jXDj41E09dqN+2rPT++mQ2/CatqKBtYXaP9d+mwsZs/arpEI6EcVEhTBV0NPohe1iOtRjGf9Lg0hJ1KJZwy5ipwprX7ZQ16Ifv+nX33f8z0MRkDf+dtaka1YGbxXBYr8UDP/CmY4A1/WoKomKUm1DTqiQICAljmN5udwpvhx9wKTSRDXTTXfa40JNEoM4VTtMP50+1/iTYurQNYtK1fGBzT8GjMCxKIVhwZCg9YHjRna+jGWxPLUt8w4gyyouyHdKpSIAIBejPN0m4mIRTTUROSmgefhW2MAsuprwB4D6u6NY/n2/Zh963+43EeySQVBPFgoCkMZ/wpmuAJfQVMy+aDD5YqtpDIkndmt6XjFM3bRXvfXQjdIe91fo2VOI7ae9RbWR4eMm0wu4aDeYDNY1laQPM2wsT6Gq86ZLtSe8SJo8BhwBm6N7+li7QXpagUwZu4/jmyxGfAfR7agWetEh96EPlQJz0UErIls9Ty2k3hKx0BKIveAoepoq/yGbMAMMSaMAfXGU674gWzFKnMj+lHuTLiRjpJ0Vvgik23mMABXnTMdt7WcCUAu2csZXxPBRbOOx9Ovvu973DfWXYSTb/4NLmLPuaSUd9Jn8afb/9KQDBB1drKQoBD6EUM9+vAuJmL3Ccuw+o3TEU9lbC6R99hErEu24jG9yfMzOHEWjHlxWK9FjCVdbh/RoKUTw0mJbfhd1ddRy9wZQhliuDH1LWyK/gs0wRXrZHyPXscuJ1bpaZF0dywS8pzQyGTK8znWaERJOisKwi+ATLD7fGWxCM7RgRTuf+Ft3/PymWCGCB3kllI2nQkS8TEigMBwlMahjvVjQtY104hDuPStH6Ezcx2gwWa0p8BwiSDllh1w4vSjP5g5Fwu1/WhkEoVPACliqGf9CDG7oZbt30MNaNY6MQ7i1NAQI6yL3Iuj+jg0aG7Xkw4NYSaexQeRjiiU8TURzypr671ljQEF6QPhNPDWimAlAeGPcvsofAkSQO7ujZvLaplkb660LZrpuVQ3K0IlMYEMNCxPfQsAEHYY2yqWwerwVs/gsBciP/ri0LOG/93jfWGQy/BzZGmmK8Lt0sGBXy9jELrGZDUDRPBNYQ1SOOYHETzvBa7hz100N27fDwC4Y8ls3xROLwOvJCD8UcZf4UtQY37j9v04ceVObHz8NVw2tzFvXy0As8LVq2YhGjYCj2v6L0OSuX3eYaZjXeRec8bvZALr85AdkOfiN2ud+EnkbumgoXs8Vl5G/ChqbUHgBzPnYkW4HY0ewm+cevQL5Ru6JbGII1TrubLJNUgsozeeQlVY/n1kiND20Etoe/ClnIsVvQy8koDwRxl/hS/WwDIgz4axZnQ83GVU2OY7AOgETw1/wAhMEoCf952NtsQ3kCb37ezngz9KtdLXRIaOG0WZK2UKOyydbXvBNX02pFtxUmIbNqRbsTj0rNEkJsD7e6hBKN8g6zt8a/oaz+PluyISIepCZiWVIVtaMBCsWNHLwIsmLJEQQ38irQLAWZTxVwSCV1S+ue4i3LFktu/+/OFtWzTT1WwkKNYsHD8e1ZvkDUkk9KMKxwmCqIC8QMqzeQsMIyybbXvBGNCg9Zmza7/zWPEqAOOVtYf12iHROGhYHd7q6c7x6442HPi5aLxSnZ2ZcONrIgAZA5HqAWCgjL8iZ1rmBHPp9PTG0TKnERsXfxL1lnaD42siuPqc6bYUVRl+zVas9EI8i+9HlasCN0lhJBFBlIlbJAL2Aim/GgJgyAjLWjMGgc+ug4rOESFQFXIsGxdgDKhlg2Y9gcydI0tdHY4gMcc6sxelbfqlOlslIGqi4bxWF6MZle2jyIu2RTNdqXRO+MPr1Tiep+oVA7KKDFlIUAQ/SH8DayJbMR6G//9DqpbGAjg80yZICmeaNNMIewVoM2TMuLwWNEY6q7xq14nV8Isqef1WEdZm9xw//f9SY60I98rq8bq3rKgAsJuCjT9jbBqArQA+BsPtu4WI7mSMTQCwHcCJAN4E0EpERxljDEavjb8EMADgr4joxUKvQ5E/slxpL5zSDE4lT1mlsbWz003RdjTTIcyjidig5S83wJFV2Y5n/QCAaiRNo9vA+swceBFEhgxDEPeLTsD3Ut8EAHRGr/dcHfRSLeKo9jTsOhgas41k/DxmR1FrM/jA0HumMkPdM4jjTOTOGUQUMTI++xGqxa3pawr6jXKSmGDA3reOmPeXk1zTNmXpxzzbaCymfxbD7ZMG8H0i+gSAcwB8mzH2CQArAewiolMA7Mr+DQBfBHBK9r+lAP6lCNegyJN8ZaH3dNyDcx49D8/Fv4QXqm/A+lNf9a005uea+8ETuD1yL6bAO5Mk11RDL1eFTPlS5p5hWRmGIO4Xblw3Ru4xArQe1nY86xPLG2chMrKUGBu6Ptk1JimMxzLn2LJynINF0HALA+HFqqVo1jrN1c4E1me6imKO7y7X3ybX7KFUhrDthbc9A/65zNplGWsZopx8/6OparjoFb6MsUcB/FP2v88R0buMseMBPENEMxlj92T//5fZ/V/j+8mOqSp8S4esetdaeelkT8c9OKPrFptBiFMUv5t7G85qvs73XJ3R64V9aw/qhm4+IK6YHaCop3/b6z2bIpuFhlBWWQsYM/qjVCssnnJedwyDvvvx892QWgbACB43skNG8xboIDBhDUAfVaOXam0rigw0bMsswEJtv2cPYOtnCTIQJCmMD6la+FmOUC0+ldgS6Lfhs/xG7TDeRQOqdPH3Y/3Nc+Wvav8La8Y9DBw7iIHYZGxILcEv+s6Wrl537OvG99tfEsaRvO536/srrWrYq8K3qAFfxtiJAOYA+C2Aj1kM+nsw3EIA0AjAWot/MLtNUQby8YVOe3GjayYYY0lMe3FjoHP5ZZLUxyK4KRIs1dCaDeTVqlCque9hEHVoqPIICAOGUd2QbvWNH1jPtyay1UzLnJF4AB9P3I+TEg8I5RkAYBwGsSHdijii5kw8zHQsDj2bVzeyI1SLjGTOF2Vp6WcZjz5pJlINS+KmSDsY7LN8BsIUHJIeM9/soWatEzelN2dlPQg18XexIrUZl2id0tVry5xGabewIKuIcvXPKBVFC/gyxmoBPAxgORF9wCxPFRERY5KyRvnxlsJwC2H69OnFukyFg3xkoT9K7wud5R+lQ7hlx8umZg9vvM7lk+uzpf6yYCbPJGFMbhSc252zuA5dJAMhDmD6EYIulVXgsOw578TmwMflQedc+EnkbldtQQ1LIk1aoBTXo6i1zbBfr7pSuq9sQGQMuDMi/5zH4zAIwXojc0TZQ0FiAyvC7YhBPDnoSDaZ3cd4ujGfmRcigz7agsZFmfkzxiIwDP82Inoku/l/s+4eZP/9c3Z7N4BplrdPzW6zQURbiGgeEc2bNMm/UYQiP/KRhf4zE/8ePdSA+y1+WqtE8/Lt+02NF1nhEc8kMQYIcUqhDobXq65EV3QpXqxampP0wCCinj50J0Hz9buiS3MSgeM4/eb9EmVOPtMXEYLu240MAI5Dv+378ipu84KvPETw30y2GvHrktZYH8OlWifWR+8Txgaspw1ah+BcBRQigy4bIOpikYqMAxRs/LPZO/cB+G8i+onlpQ4AX8v+/9cAPGrZfg0zOAfAMS9/v6K05CML/c6n2hDPodOUE5t7BgzvYZLLl78+JW6xGGY6tGxB1ATmnatuNa6bIpttAUw/iIAYBpHyyZXhxVm51LENktF/gAeI+WeoQhJpyq0g7gjV4sHMuUiTBiIj5TQBd2Azwsj2fdWxAaRyPJcXSQqbv7/MxeaUr7D+5tznfuekxxBDwvY+3rXNOnbkUofgbBCUrwy6sGpYY+hPpsvSR7tQCg74MsaaADwH4GXAXH/+AIbfvx3AdABvwUj1PJIdLP4JwBdgpHr+NRF5RnPHSsA3n5TLcrGn4x4cv3eDTWI5nzRAbn5Ed+HQ8v8wdDDp7JfjFzAOgjMALAoIewWJg56DIA7AfqhX4RiO81QGtWIMFvbvJuj19VE1xmFQum8un/OwXou5SSMYvDq81RxoOV7B+ojGsHHxJ417fU09RHeDTgyf0tpNqYh8EgIYUPBz5XxGB5JpoWppkADycFBSSWci6oQ8XXqhYH8C8O1Czzva8CtkGWmc1Xwd5v/+FM9UvCBMqY+hP5EW6r9Y/fdePmrzWJYlfy7yCFacxq4QI+91Dtlha1kCZyb+r5ERFSCYa6iVBpOHduIXz8iF8azfbDhjrZomMmb8a1IeNQLW662bKuzN0EMNSGV0xCIhxFMZ41gp4KaIMTmIZ7N9OhJnS6/ROjMH8nuunEVlM1buFO5XCXEAJe8wQih3JkE++cuFSjdfHn0e/5b5Jl7UFwv99la3jZdSJse65A+aBWMl6CI4qNsoX5q1TsQw6DpGsfsuBXWBBaGHGrAmstUll8GP77UqtHV5W7hKGg/qT2ZMtVgGoOsjF5oN4WtuehVrbrkVm5bM9r0ni/lcVbJ6qDL+I4RyZhLkW+jVMqcRn5peZ9t2ykfHBdL9uVTrxP/RtmB86n+FfntnUVCY6Z7GT89W5HL82iqmScOHepUZAO6j6ryCtjLyNaoJRPDjyBY0aENuE/65S7EK8SLo+bhxlmUxBcluMvtBzGrFhsgyaWzg6VffN/V6RHr/Tp++DNlzleskaDj7aBcbpe0zQigkBa1Q/FYdsjjELTtexu4/HbG97w9/7sfV50zHr1/sRn9SrvvT5pOqJ0sXNFIbCf0URS1LmAZKY8Di0LMAgEtCL2A8+jx91hp0jGMJdFv0b2q14rlB8qUKqWFxPcmQfWeiWAjHGfzPhWatc0hzaQeQ+E0dLpr1d2h6Xlz4FWQyZHXNyIoYRbIO+bhec+0+NpJQxn+EIBJKy2cGkU/QWPZAzf3gCZy142/wHA6hJzoRGz5oxc2PGAa5ZU4jfvlbu2/WDNDuO4Rvwluvxy9VT/Z6CDqOUG3WZeHOCrkm9GQgY2nVv/HKXS8lIkM73LN7J145/rK/G5ghRd2PKtQ6MnUAIyNJhChGUJU6hk/t+wGataXCeyfQZOhAO7BrLXDsIJ6ITcaq6GV4KPkZ2y5c1gGwG/B8Wj8GFZcbaSi3zwihkBQ0Tj7umx37uoXRR+52aWT2fOsLM/+JjY+/hh37um0FVrlqt0jTAWmc5+s8tVLmSsjHeBbT953reUcLNSyJBEWQILsLJEEhW+OYq8+ZjnFRY58V4XahpHaI0sJeCgzwnwwdaAceu95W+bsuci9aQrtduzp9/6OtiMsPZfxHEFb9cb/+pSJyDRrv2NeNtgdfEvrSveQVunvjaHvwJdtruXZ+2pBudRkKADiODaJZ6/QUPwNGruEsdlB2JFxD0ONNYH34VeZ8W+OYfgzN1GMRDdv3vGO6A72C8qIKb0KADJ1da4GU3ViHM4P429B24e5Ww17Jwdt8UMZ/FOE5cznQDtxxhpFHfccZwIF2bHz8NVeDC87xHvIKDHC9L9fOTx16k80wcKLMmPXxQjAvw1PqbJh8KPegVM7vgDHgmtCTtmK6CawPP45sQVd0KV7RrsDToe+aq0GvoLyoWKsmovkHY48dFB5PKhdiMeyVHLzNB2X8RxGyGcqlod0YePjb5lIYx94BHrse8z54QnqsHl0sr9CLcXhOIOWbT+eneonrppEdwutVV2JFuB1HJd25AKNDl3UM8hRpI6NQqI+qR8QgUSpycWGV4nsQnT/K0sLOYRvSrZosgusAACAASURBVK4Oa4DhKtqQbnXJX1yQeVbq0uRZOgcl963oPnS6kYrheq0kii7pXArGSoVvoYgkZwFIJZTfwyScM3in8FiiCsoEhcAYQxRDflpeVQkg54pL2XVZSVAIIZCrulcn47WYJs8ocu7fQxM9K2cLrdwtJqP9WtKkmQ1wrB3WjlAt/k0/BxdrLwSqEuaigfy+z7Xy9811F+V1/ZVSjV/SCl/FyMGZdqZlVTVlLpmP4RAiGhO6fngFJZdX6KEG1LBBTHDM1rlfvyl5F7Q0sGniY8bSu24qbn7/Es8Wg7v02VjMnvWsxK1iGRzWazEOg6hC2pbaWY1ghh8wZnlBdO8zxExp5XIa35Fk+EtBmOlYF7kXK1PX4lOJLeZ2L1kOUbvJ7t64LdYlum9l0iNB6lFEVFo1vgw18x/FnJgtPZfOsOumYcfnHseajleE8gpOXq+6UqhHoxPDSYltAOwzKWuOtWxG9mDm3GzHrMNgIKHR42NTLuJphTCSZt3Fohh6RKX4TpzNXPxWg9Z7DYCrfWhQeBMWIPcc/XwaIJWLYWvmoigd+cgv8EYnwsyZSAxYuAotcxqxf/Xn8ea6i3xnQkH8+tbrswbQZNlAC7X9aErehZMS26QSyjq0YTP8wOgz/IDxmQqZ5/m930sq2+t9zkCsnyyH03dPEP9esjaTVl8+gLwq20dLSqgy/hVAvvILPA9f1OEKl9wFzLJLMPtp9fjp8ANu8SweQPPKBuIPKm9abkUno7ArKCN1ISsyjuW4Vn4P5HNur1jJc/rp0hk4wfDxi+jFONvfXhlAMtlw52eR1Zz8Ve1/2dKo89XTGi0pocr4VwD53qTWmTxvG3hSYhuakndh/m8mCgeP6sjQLRGLaAhZptyyNokAXLMsa2Xk7pULMFhzvPAaB1CFTZHNZuNzjfHMnKG+s7nMxGUz1HIPCjwLhg8COgEJhIb1urpponkPZDwe/VyviTGgSXsF/SRuRqNn+w2LMnvq0Yc3LPeNaIJBZASCvZIHrEhrTiL2XP98Z/CjJSVUGf8KoJg3KUeUKnfzIy/btMkHUzoyjqm4cxABIK3s7e6NY87a/8CMlTuxIbUESWY3DkkKowaDLpeOxgpz9YgGi5HiyuGDAANQzTI5X1e+g4W12Uqz1ildTeV7fI0ZctSiwj3eb1j0Gh/c+X0DwDXBuCG1DJ9KbAncL0K2yqyJv2ffL88Z/GhJCVUB3wqgkAATT0mT6e7zY8jOIcKataNDEzZZcQbyAOBL4d34vrbdzMKIYRANmjjXvxQBxtEQyM3nM/BHvJtnWIXkGVaFfkdHqBYfwYDwnghybN4UJgjjayIggitZQRY0PqhPxJKan5pBXVFqNA8EV5ohl6ECvhWObAbfn0gHkl3evXKBVN6Wrx6CBqtEUssieCDPGnj7vrYdG9KtOCmxDRvSrZjAcm9kXghWieQKmPMIKUS7aKp2CF8NPemZWlvo4DgefTnFaJxMYH1CPahIiKE+FjFn2puWzMa+VZ/HmubTXc+GV2zKuuIdLTP4fFF5/hUAvxlvfewVm1umN54KnF/sJxkte91J0A5ZPdTgSu+cyoyl/dzM/+CK0NNlK7YqNPOlkhmOrCkvZVC/35YxuHL5x9dEsPqS04X3ON/2/faXbAkOXrn+1nhUpSpyFgM1868QWuY0oibqHquDdiXyC1IF7coVpEMWn2XJAm9XhZ5CFZMXaHkNCsWi0t0/IxW/75X3ZNA9Vl/O9M/BlP9KIkPesSlnvKDS0jJLgTL+FUQh+cXBlrj+1nUAkowOGnKnDMJYcntp8ueDMtijAw2EkxIPSHWbnLn8fsq0fPUryu0PSW6aSkvLLAXK7VNBFNrtS7bE5dLOMoVPTrPWiXGCZh0c/pxNQB/ujGyGLqm/zEBDuAC/cFCIskVAUAMHpxCXWrHccdy4r0ldI6z6FuXyyyY4PA1a5GJcH7kXTSdMxOo3Ti+oSVKl6Pjkipr5VxClyi8WSTuLZlErwu3ytoiCTk8hRq6l/QBFsS2zwFXMVQp43YAy/EMU8l0U43u0GndZ3YgopZMAYWU7HxRELsYYS+Izb25GVVjD+JpIXkHdfAssKwE1868gcu4Xamlnh7qpwMJVrqpewD2rkgVqnT13g2Dtu2sNvF0TejLnYykqmzRpLuPeoTfZgrteOAXUduzr9hUvnMIOozeeQiwSwh1LZhe1QVKlz/6V8a8wAmcn8HZ2vKtRVsMfgGsAcLqTZIHaNOXnrjF8vNts27ppIqYGCB4rgmF0zarCOCTKttIhAnQYqqiia9BArlm9U+lVpsDJiacy+H77S9j71hE83DXUSrRHcj9xF1O+Bnu06PiIUG6f0YqgnR1ScWM77EJx5w4+bXPxNEqMsgY9L/EuUSMNrzaNYzUNsxD6qLyGHzBWee9Sg1Sgz3kfiDR4NkU22+QeRGSIcP8Lb9tm5EF0p/Ix2M54GneH/qn6KrMjXqWijP9IQNBisWAk7exw7KDNj3mJ1okf0t22B1Bme3toIo6QOEPDWkBlRRbAs/p7yZIplCYNgwIZAIUcIkNaoRSGP9eBeAo7JNXnqcn2ZwYMI/qTyN2uFaZT7kE2ADixxQ8gjh/kk+FjjbPZBitLR7xKHQCU26fc5OCeyYm6qdm2je7tVj+myMVjBG/tmTpWIy5rtgHIffwiOvQmIG0/Xhg6lOnPjVIXxOWCDs0sslod3mrv54s+s8hvcehZaXU4R9S8xQtr/IALBHLyTYywxtlWDAgKHPlqupBntUyomX+58XHP5M3CVYZmvw0GHHsH2wf+xpxRyYu2SJiF4Zyxi+A+fl5cI9NWB8SDj8rOqVx4DUeH3oQ4ql2/ZQ1L4hofiQkrMhekHzrBJgdRiGwDl0iZqombwEtX2SMcNfMvNx7umYLgM5Fda7MrgKGZvKmgmJIHygZix2MJbRbWFfAZVmf0es8gGyDPHELKOE6QimFF5UAwfnOv3zaXwd1LetqP3njK7PFblMwcj9V0JaJm/uVGduMU44aa1Qrc+DugbhqcxVZ8SS0LlN187Es4sUEc7OIz+F36bN8gmyxz6CeRu9GsdXo271BUHlpWmwfwbswS+HiW7LKabK+JXBaGRc3LF62msx3xKhFl/MuNxw2VT+tGIZJVxBR2WFpo86jehN1/OgLe20WUmbE49CwezJwrdA9Zu3OJCDMdd0Y2o5596GrykaCQsPGHorQUK8uKa/NsSLcWXMzHANNVOJDV+KmLRcyirSBCdfFUBvt3bik8qWJWq9EBr26acWV104Qd8SoFpec/EhAUY+3IzC+e1vgdZwiXqyLNfRleGunOY4iatXthzQ/vzuZ6A8YMspEdUjGACuMI1WKAqjGFHSqatMYARW3ZOwzAVedMx7YX3vZVpBLdj3FUYWXyG9j7kQtHjVyDCKXnP9Lh7pk1vca/s1rzbt0oZOEqJB3hHWtnpyB4VVA6CSr7zOFSEIAR4ONug6bkXehHdeDjKMpPmhjGIW6uEIs1cHM3JYcAbHvhbVwWfV6aTMARSj8ggbZwO7p747hx+37csuPl4lxoBaHW1iOUYlcWhhwaawTy9Z1aqy/luf8Nrv3zzdDghsKq+x/DYF7HKgWjoRNYKckQcIzGSbuzFYpzonGJ1om1TJ5MIHufczsfSOadMGHUrgBEqJn/CCXf/qIm1sKxX38TIUrbXq5iGdxe92tbk3crTh9/SGD0EhSy9YXl+xdDj5+nBIrOWy6U4fdGA0ranc1ZISxt1G5ZIYQYw2DNZN/jEVB4XKAUxZolRBn/EUpBCp68cOzYOwAIIHHjlJr4e9LuXUFcN/2ImTOsIPvzTk5BBwFlbCuPUv1mokrxIK5InQg1X1zrSqpwHq9Z68SK1OahZybX6l3nM1cB1b/K+I9QCuovKiocEzAQE8+IgGAdu+rRn9P+QHYACLSnotLIx/AHyewSqYEC8lRS64x+Sn3MzNIZiB0vlY4WTl5yKbYsVbFmCSmbz58x9gUAdwIIAbiXiNaV61pGKnn3Fw1QIJYOVWNV/2XS12XFX/Z9jIesWeuEDs2Wk+1FoZNDvnLwMjZe/vkg71eUjgwxMMCU/wBgxpYAe/qmM8vHyoZ0q28zGHOlPKsVF/5mIroT4kmRLC4QuNiyVMWaJaQsM3/GWAjAPwP4IoBPAPgKY+wT5biW0YhsRq8zDTw/+Tb2TTyU/Iz0GF6qm8DQQ8Z9/X46LcWiGIabFTELRZE7Tt2noX67D2B5almg5i5AsGYw1smTV7KELC4QuNiylMWaJaJcM/+zAfyRiF4HAMbYrwBcCuD3ZbqeUcWG1BKsoM3uGVF4GdbccisA4Bcrd3oeg4tzGTOywzhK48CY4eqxPrid0etzSusslKBGWxn3kQtj8sycXJq7+O0/viZi+5v3rXD2ELg3erURF7AKLMJYHd/Wfxl+sXKnf+Okhatc7x/p1b/lMv6NAKxVRwcBfLpM1zLq+EXf2TiiJU3DzY31Y4mzsSa7TyyimRWTMoI8iDJfP1G2V69gRXAUtTiO+hFhyvs/lnGqduba2MWLSIhh9SWn27a1LZqJzl9vdqWH3kJ3A/hHo1o3W2w5EJuMVf2X4aHk2QDcXcRc2LS0vDvnjRTKUuHLGLscwBeI6Nrs318F8Gki+o5ln6UAlgLA9OnT57711lvDfp2lotQNoeeve0qYxdNYH8PulQuwY183lm/fX5RzySp/P9SrkGIRjEefbRauE/CvmQvQpZ9qSv4C3h2gFJVBPnUQOjGclNgmrMJNUhgfUjXGs76cBgMvMbeB9aehJv6u+01104wCyyyyZyjEGHSiimnkPhIrfLsBTLP8PTW7zYSIthDRPCKaN2nSpGG9uFIyHA2hRWmiANCfSJsDT7HYpc8Wpm7WsoSp5W5FY8BXQ0/izshmxFGNG1LLMCPxAE5ObFNZQKOAXOeSPGlAlG0TZWk0aH2mlpRfc5dYJISrz5kOALhx+36hHlZN/D3xmx2BWVl8IEM0bI3ci6btJaFcxn8PgFMYYzMYY1EAVwDoKNO1DCtFlW2QwNNEnT7P3njKHHiKQbPWicWhZ4WzPa8ZoKxbk1L4LB96DvUXMo5QLZ7TTw98HCIgBqO7V5BUYWcBl5WW0G48X3091u77LLYP/A0u0TrFBjpgYDZIMWWxn1srwzFJLIvxJ6I0gO8AeBzAfwNoJ6JXynEtw01Osg0FVAy2zGlETdQe0mnWOvEE+7anDooMUUOWXDV8RNSwJO6MbEZXdCl26bOVmmcZIELOAmwiA1/H+nGO9prvcawZWw1aH34c2RJAbMRAlJLZrHXi78M/xfjU/0JjZJtUxFMZLLeuAgLKMstWz05K1ch9OCaJZSvyIqLfENGpRHQyEf2oXNcx3ASWbShCxaB1hi+SZA7aI1X23nw1fJxwI3BF6Gn8MvM5DFKkaPLCGWKqIbwH3E9fqOEHgDAjRFla/KIF57miLG0K+/nhlHgAgsk8mDPnzPxAsszOIsuQ5AvKpy9wEIqt7SVCVfgOM4FlG4pQMWi9YYM8IJyIxjD/5Am+7/UiH4NbxTL4auhJVCFVlMAvkZHiqoLIYnIJ0HJZDj2PwSIfMsSQIPtzIpJ4AIIrzpozZ4GKrgjevvGNdRfhH1o/mb/cSh4UrO0VAGX8h5nAsg1FqBjMWCxwLpLMKZ3w5uE4Ni2ZDebxXhlEQDrPOt5iygAzZgSeFW7yabKSgRaoeUox0EDYnjk/UMHXu/CXeeBYV8O5BFQLklvJg4K0vQKiHKxlIJBsQxH6hYYYMwcAmVyD6AEBjOVly5xGLN++X/reDDSEBZIOGWiIDFPFrx9q1u+GCFieWoY7I5tzel8+Vdz5ymAzBlweetazwpezPtWK9dH7EMPQQC9bJfDVMA+ocr+6bx4/CpBbyQN+nlKmhKuZ/0ilCP1CrTN/oVxDJIZ7o1cL38uXl431MWmf322ZBcLtQTV+FOXlCNUG3jffQTRo8FeEV3aPlQ69CTclvxFolcCfieEIqBaK1e20e+WCog88auY/UilCxWBjtpwdcMg1aIehZY83OzMfMUe7yMujz+NHmX8F1hxDJ4CjkVo8mDkXC7X9torhDr0JXfqprkriFeF2X1E4Dn/4dbDAQT9FYbBsk/Vb09fgzsjmsq2OBiiKOEXR4NEDoJEdwhtVV+IoarEmdY10FfBYQFkI3r9Clu5crDToSkAZ/5HMrNaCysPbFs20LW079CY8lmwCAWisjqEtM9O1vPxa7X/hh5m7EUoZWRsMRoOOr4Sewd+mlroePqEERBquak2dxM22j1Atbk1fY1T7wl0UpigNU9hhdOhNWAPjex9OiGAac8B9r1jh98MEGCmhTi0g85gBzmv1mVtdolZkWT2jEWX8RxOORvAtC1cBX56PjY+/hu7eOKydHLmPc+9bR/D0q++jpzeO+poIlqbvRwjudL0oS9t0WLxwisL1UIM0LXQC68OmyGbbwFCocqdqt+jPURqHruhSjEffsH9fR6gWc5NbhjakYEp9eF1H0HvQqhH0HpuI9clWV6N2keH32j4aUcZ/tMDrAnh6aLYuoPHMWwGcAsA9O4qnMtj2wtvm9qMDKUyuOiQV3Jdqngtwrgg6o9cLXUGMuU9XqCFSht+bBIVQx/oRLpObbTzrt/3N75VmrRNrIltdelBW/O5Bp0bQFBzC7ZF78W8fnYiWOQvM/awuUSuytqajERXwrVCcaWoD/75KWBcwpWuDpx/T+fh7SSwwUM6VwRy//gBByKUFpEKMTkAEmbIZfkCeYdahN2GAqj0Hb9F762MRRLLNnmU1KZ95czNu2fGyuW04UilHOsr4VyAi3Y/qAbFg1fEIPlsHDCPtLK7hiPR4rLIPL1YtRVd0Kd6ouhJ/rLraJgVhbbyRqwEnAg7qE/Gcfrr/zhXMcAxuGhPHXoYLWQomx6umJElh13sZgIs/eTzGZaVMvOpZfvnbodRpZ97++JoIqsKaVBBuNKLcPhWIKE2thxpyyuMHYIsBcLi//kfh+8wCKedMzEzBcwR2J6DP9OHw/H/etGNu5n+y2UKHpPUBfszXXsnLpVMpbRtH+vUVAhHQHUCWWVpTQkyYcEAAHu7qNp8Hr3qWDBF27OtGS2g3sGstWo4dREvdVOz5zHdxzZ4Tcsr5Hw2omX8FInLjiNwqcVRJZ1mN9TFcdc50qXhViJFnGf8UdjiwsFsNS+KroSdNbaAw03Oa4fIVR7436yCF0I+qks6slTtKzgBFcUNqGZqSd/kWbMlqSm5MfUv63ngqY2bpyN7Pn4POX29G+tHv2jSzznjxh7gw85+uY46knP9SMLZn/o7smJHeeQcwXD5eM/YfRB/Ex3AIrG4qfnfyd/HEnhMAfWiVEIuEbGXp806YgO+3v2TLcghi1HuoISfZB6erIUjxj3OffGfG1SwDxjL+OxbAaJ61e0Fk3IsiV5I1pdPP6FszdI5SLQYRdbUM9SJDhFgkhI6UO9PM+v7l+BXCmUHbe2NICLOISqXYOVIYu8Zfkh0DYEQPABsff02a09yhN6FjsMkw8J8zDPzt07y7hrXMacSNjq5efkadCHidPgYAgYu5ckVmTPNJSxyrhrnYSAdkj1VPPfpMF6HMgDszdBpYHwYoiuUes30nIcZw+5fPxMbHX8NjvU14gs5FPOl2LeaicVUqxc6Rwth1+xRBNbMcBJmNWJesQUrEnTe5X1MVxoDPaP8dOIOnnC4R5Y4pHywbXJ6qHcKPI1vQFV0q7CWRi+KsjAwRbn3sFfQnjBqVCeOqXM2MAPm9/S7ssbGxkPkzdo1/EVQzy0HQ2Uh3bzxwxkLboplmqhwQLC0zBN3M4EmT+DbiWTrFRM3iywORIcEhgjH/QdarJWMus3Evjg6k0BtPmRlwfYNp230NAJtwBdKhavsbIzH0zF0xbIqdI4Wxa/wDtnMbaQTtMAQgcNu3ljmNZqocgEBpmZnsrdOhN3kKuW1It6K7jO0Z1WBRPLy0l3L9nq0ze9ls3CtTLQgpnTAuGrYZ9aYvLUP40n90NXM5q/m6koqojUQYVcC6eN68ebR3797iHtTp8wcM1UxBV5/hgjdX95Nwte5XXxNB32AaKYlAe30sgnFVYd9jzli5U+i6vTX8M1wTetL2cBMBWzMXYHX66wCy1buaePY2QFE8mDkXXwk949vlqRgpmZWS1qkAdGI4KbHN5fMHjCrkfsRQjz70BEgRlcEAvLHuoiJedWXBGOsionmi18buzH9Wa6B2bsNFLg2buR//jiWzURMNSw0/YDRtD3JMmTtpdfrr2Jq5AGnSjCYtpNkMP+DtJqphSSzU9uNDqha+zklQCDeklpkrinxRRj8/yjEH5DN760pTJ4bDei0YGCYwsZuII/LpOxntQdtCGLsz/xHG/HVPSbVGdq9c4NrubEYhwpo+Z509iY4Z5HheNGudUnlgnYyUEK/K0iSF8beppZir/Y9rpaGoXIiAflQjghSqLOm2AxSVau6/WLUUEwQyzwf1iWhK3mX+XR+LIJHWpfesM615LKJm/hVArg2bRVW+VrwatouOKWpTVx/zn1lxOvQmqW//WPSj+DOb5Pl+rtjIVxqyOUkFzFXGNLyQjshQ77whtQxnJH6GttR1gZqtNGudGC+RmHYGgI/FU+Y9C9hXfeNrImPe8PuhjP8IIdeGzV4pnwxGsZcsfc55TC4St3z7frx3bND0/V/8yeNd2RIAEIuIbxtZdeXq/svw98nFvhlEPOujSz9V/tlG0IpADURueFU4Y0A1hu6/Dr0JTcm7cFJim2el74pwu/Q3dgaAp9TH0DKn0UyCsP4egynVTc4PZfxHCLmqDMoGhcb6GN5YdxEmQ54+Zz2mNdYADOmZd/fG8cBv30Yq47ZwyQwhIvDhOH231hlekAwiHZq5YhlJRl7EWDX8uUhkOHP1rSKAMnVYWdonEWxSJdZnoxJaMo5Exm6F7wgj14bNzi5dgGOwkDSAH6yZbDuml/tIFkfO6ISqiCYMNAs7ezlee6PqSuHrIeie0hKybmDlYKQPTpxiNWrhx+HHsg4AXsfnrhpnRg8X/HN25pIJs/WyWnR95EIwwbORq8tUYaCM/wiiZU5jYB+l72CxcJUwlbXmi/YK5nwfkIGAy2pR0Llb8oAfRa204xcR8Bo14jR0V4zhLSVOoy5LcS3Wd5XvcbmrxquK1zpZ2JBudaV9DlAUa1LXYPcad+IDYKyCRckSKtPHG2X8KxjPwSJgA3jngyPLEMoH0Wzvzshm9KMKSQrb8v6TFMY4xKVGhTFgpjL8Ng7rtWbrQ/696GTEfEbC92RV05S5cxrZIbxedaX9XhMIs3V95MKhNzkEGW/46F9jRe9prmOff5p3kgEnaH3NaEOleo5xduzrRttDLyGVIWGxjVdKnhPnwFGHD3GclhDuO1TEYyg3xjCIBq34jcRHkjEsJmnS8AFqhCmR5ephTGRUfmvQXRMHWfqmFZ2AbfoF+GHq67bttpRNQXFmHFW4KfkN1z0qS5O2IkpxHk0poirVUyHFKu1QiMCWKLWUN4MRUcUyGI8+c2Y33scw5AMR8K+ZC4p+zJEwXwozXZoSWS66aSI+nrgfJyUeMDN6GIDLo8/jOPT7vl9jwFWhJ7Hh1FdNff4QY7hs7tAKV9SulEsyOwni0hzLwWLl9lHgWDwFoDCBLdHA4Tf7ZGwo8DeAatRi0PsNyG1WSwAWh56V7p8mDSHowtdl5xlJKwjZtRxFLaopGajRTi54BXkTFBI2DiIAf6f9HBEv3WcLGoD5b21GhoxirgwRHu7qxrwTJgAAmgfeg0hfzhpY5qvPP7NJwIF+z6r9sRwsVjN/BeqyxVwyga0gjdtzaezipIYlEQtg+IHcjC/LHlvEAEXxvdQ3i3KekQQPju7VT8lpheJVVGcNJjMGJBFCH1Wbrx3Wa9GWuk7qGqyn3FYozr7TfCa+8fHXpGJv76LBtfqcjPcNF9EB96qA17bIvqK6HAocKxVl/Mc4O/Z1oz9pBF5lGj2ixu1O/HoA+FGKG9GrIQyPY5RTcbSY7iMun70ydS0AoCmHfse845aIDDTXcapYBr1UixmJBzAj8QDmJrcAgJnD/8eqq/GGRy6/9bwidDDX+3p64+jpjUsLCXvmrhAWNop6dDhrW0RU6uCfC8r4j3L4DGfGyp2Yv+4pl6jbxsdfMwu5/AqxuP8/ojGEHAn3/6AvcemkO4+he/jLCxV0y8WQdtNEc5YatCFNKUggYhbECWrpcoa7XX4SuTvneojf6ScIjapMrtvqCnTOuMNMt00Y+iEW9UsgIqwlCTMdmyKbbcVgU+pjmFIfExYSbogsw1nN10kLG509OvykUQCgdyDl+fpoQBn/UUwQpVCnb5OX4cts0RR2GEvOnoZ/WPxJUweoPhbBM9HP4Xvxr9seyq2ZC2x/L08tww2pZUiSPdSUpDC2ZRYMixF2Vor6NaQpJVVImZIHN6aWuT6/c0DzGuAYA34c2YKNkXsQZrlJGzAGfFZ7BXv1U1zV2UG09r0K82pYEgkKu75fIiCKFHpRKxz4NEsXsPWRe7HpE38wq+CtUhEX0j9j9kVLjTcF7NERxJ8/FmoERnXAd6zm73K8Mhn49yArkJFVWvZQgxmA271ygS1VrgPu6t7VGArCbYpsxlGqhQb7NREIXfqp6NJPxerwVjMlMGgf31yDwB16k3lNjeyQmZ7orCAe7pRJHZpp4HUAu/XTcRL7XzPffZc+G18NPSmd1fv1S/CCt+b8eOJ++wtpCNN/rQOoX7xnAutDEiGbsWHMiMlMQJ/vqi3GkjjrT/+Is5qvA5B7YSMWrrIdT3bPm+cbAy0cgVE8889FH3+0EiSToW3RTGFzPplvdUO61ZYKl6u6aIPWh7CjI1QVy5ipejGWdMkIfKhX4QjVmjPS5/TTbe6CXIPAt4Z/Zl4Ty7op+EyTu6asK5dSpXby+Xmz1okfR7aglg2aDjbzkgAAHDtJREFUnz3EgE9rr2JDutUUQ+vST5W2UiwGIYGLx+kKTJOGahjuP+6X94v3ZKDZ5JydBPr9sq4bz57UAXt0iHS0+CWMlRaOwCie+QeZ9Y52gpS9t8xpxN63jmDbC2/bXD2ySkvuK+cDiN8S2sslYLsmdkiaLnqMjkNTYkjHvTN6fd4aP4wBV4WekrpGNGbXjV+dPZ9oFVQoGgzD/5PI3cLr4YMiX02tCLe7Bs5i06x1urJ2OvQm1wrAqs0jkmTgDFDUpu4pw3eVFbS96qxW34ZMuepojVZGrfEfa/m7IheXTPzt/NMmYf66p2z7zjthgqs1pJdIGx9A/JbQuaSAynR9nHUGhaSVAuIZrux8zVonYhgsyNUkI4Ew1kXu9fTRW+UPZN8Px6tuIQiMwSW2ZnWPOY/LEwCakndZJgqHoMO4jh5MRM/cFTjrT/8oFBm0chS1GNCr0agdcq9tBK6bQslFR2u0MmrdPrnq41cyMhcXAFeDlsvmNuLhrm7hvnw5vW/V57ExG9AF3DU1Vp+oX0P5oCmgGpNn/DhzuwtNK/WDn+/W8M+wKbIZDVqfzQ2lk2G4C6UKad9VEbMEPr3m/GnScIxqCh6QrBXdVped7LiN7BA6o9djrvY/5rb3aAK2Zi7A+JoIznrxJiDZjwyTf1+8NmETrkAm5MwMYsAnryxbe9XRTEHGnzG2kTH2KmPsAGPs14yxestrNzPG/sgYe40xtsiy/QvZbX9kjK0s5Pxe5KqPX8n4ubisPtKnX30/UDk7f9+b6y7CHUtm2wYQq0/U2QHMSS6plBp0aZzBeUxnxlBQBijqaUT5+Zq1TmFwlRvjKuQfXLUeKxc0Js74IQI+QE3RJDL4yieIy46ndF4TetIm7XFN+EnUxN8FQED8CDK6UQzGe/QeoeNAYHgPk3Bz6lp0feRCrB33MMIZZ7EfAX/4j6J8LoWdQqcvTwC4mYjSjLH1AG4GcBNj7BMArgBwOoApAJ5kjPH2TP8M4EIABwHsYYx1ENHvC7wOF2PJr5eLiysfd1jLnEa0hHYPKSk+MxUIDSmEWpfQs2/9D/TGh3KknbEDBvLo1GSIgcniDNZj/ojuC5TdIhIbWxFuF/rwiYAHM+eiQ2/yjSv4Ge4UMRBCeWXgyOSZASNb6SjVmro+PEA8AX3S/gu5MlgzGTFdy8m95pJ8drweZWnEqRpzE1vMbVx47U6+Yc174oMfOzjmM/dKQUHGn4isQ/ILAC7P/v+lAH5FRAkAbzDG/gjg7OxrfySi1wGAMfar7L5FN/7A2PHr5aJnnpf2uVNJ8dg7iD/yHfzuzaNm+h1HZLA69CbswnmIJzJ4VhI85fn3XR+5EE29TWCSWS7HSzSOI1UkFaQv8mtfHHoWXfqpBcUViIDvp74FANJgLkfUoMZrYOkhIxjdGb0eUzX7NfKVQSGunziq8Mpf3Ij/bv4iBtYfn529Fwdn7MY14ZA0IBqITbbFrqyuyrHwfJeKYvr8vw7g37P/3wjA+isezG6TbXfBGFvKGNvLGNv7/vvvF/EyRx+5uLjycoftWitUUpzStWEodfZAO3DHGejKLBaW9fcnM9Ahd9lksnPFtkUz8ea6i/DG7RdhfE1++ipWqQOR3kyH3oQHM+dKq5jviPwLqICUyiNUa7au/F7qm55uL4bgSqFB9PGD4Fwh6Nk4xkF9Im5KfgOtz0/FiSt3YkPKXbVdCKIevDYWrjKCu1YiMWxILRmzypulxHfmzxh7EsBkwUt/R0SPZvf5OwBpANuKdWFEtAXAFsDQ8y/WcUcjubi48nKHOcrjOcfjsBFXCO02VwYak7foA4y/V9NWNDj802FGWBFux4WPnGde5+pLTrfN+KyKjToYQhLvPYGZqZoimrVOXB3aJZ0hh3JIpxTN3I9jg2bKpNXtJcqY8ZulW4u+Ytn8eqTlRXh+DFAUD2bOxUJtv6drDQB+3nc2+qJprB33MGri7wFMA0icr++34nDGboQTjqwbceDfV6E6/h569AbcS1fj531nQ8RozdwbLnyNPxF5CqIzxv4KwMUAFtJQZ5huANMsu03NboPHdkUB5NoCMqflsmQ53kMNxgMoWBmIWvRxZIHJKeww4kl3ARljwCXM2WiGpAbnKI2TfhReUJWLgZcxQFHo0FxS1FGWxp2RzfgJ7oYGHUeptqD0SwDgazU+sD6YOReL2bM215VXj2P+ZA4ialRSp78u3hGCbm6pq7Fmza3AgXakH/2uLShLZKx0qlhaKMnNRePWpK4xB5jG+hjOP20SNj7+Gm7cvt82AdmRmY+b+zYNzfST2dWR4DpHY+becFJots8XAKwA0ExEA5aXOgBcwRirYozNAHAKgP8CsAfAKYyxGYyxKIygcEch16AoLTv2dWNN/2XSLJwp9THpykDWB8BPL6a7N462h14yYxNEufULEG1v1jrRGb0ed0Y2FySDwOHB4XESKWpr5XCD1me2WywGNSyJhdp+l8CZF2ZgmPV5qrOKmvKsSG3GmttW45bX/wJtiW/YznlDahnmJregxuN7GKBq0/CHGEPbopnCdGMe1HW6eAje6caK/Cg02+efAFQBeIIZd/YLRPRNInqFMdYOI5CbBvBtImO9yBj7DoDHYUxmfkZErxR4DYoSMaTbczaOaElXFs4TofNw+6KZRvaPZGUg6gksa9JtdQukHGpfufi46x1do0TtKQuFMeCK0NNFO16u8IIvq3sraCWy16pM1s3t2uT9aHrhbADz8WvMd73Pyw1lnQR85dPTPFOTZa4cgrFiUNk+xUP18FVImb/uKWn1bqPlAdzTcQ/O6LoFMYvRiFMUj7Lz0UxPC3sCA3LpCBGi7BYZXJ7Bqzp1NODMZmrWOnFnZHOgz0oE3JBa5vrOX6+6Uug60onhpIQ8pPel8G78Q+ifhe+1ymW8ue4izFi5U+jGYZBnowXpx6two3r4KvJCNgtjgE1Ua/nvT8FNDhfETalr8VnqkvYEtsry8n6vXoiKxRIUcmUOWYu0/KpTRyK5zMWc/ZU79CZszVwQ6BhcysHVNCWAhLOI8y77Nn6tfcGVSWRd0TVaJEFE8Bn9WCnOLDfK+Cuk+Elk8EYx3b1xoTE/XtJcI0hPYCeiJh5tqevwt6mlLg36Dr0pUHXqSFz0yiQuZNfq/C5Xp7+OrZkLAhV81bAk7oxstqXmeqm5+nHZ6u1YG1ku/D0Y4CkJwg28s2I8H5VNvwZGCoNRK+ymKByZMFzbopk2HX8ZXj0BglAV1pBM65hSH8OJDTE89iex0Jxom1+MYICiiFPUlXKaCwkKgYHlHUB2ZufwNMzFoWcDB7dF3+VCbX9g1VMmSs31UHOVwaVEftF3Nn4Od2omATZJEP4ekQ+/kOJM532pCsLkKONfgQxXqbvXQzp/3VOehj8WCeGftSvxQ7rb5fO/N3o1rv7UdNz/wtue509nCG+su8j82/q5AXH6H0c28BAZbRz5TDaoj9zrGPnEFXQCOh3NWriR7dJP9a0MBuQz8nwKwKxBYC81VxnzPngCuON6/Kn6IHp094DR6FhFlqr6Xkm5B0cZ/wpjuGc2sofUq8CGB4OBM7Hq1zqW069MA7cJV6DpoqVomdPoa/wzHn4ZP6+GKKMojih+N/c2LH5+SBt+DbZiAtyzfy99Hd1RRNaRbMLrVVfmVBOsZZu1tKWuExbCbcJm4fuIjCI2rxm5bODzqgMA8nPHAdlsquh9wLEENAz17uUrieH02Y81KfdCUD7/CsNrZjOcyOIBPCuDDxpNX1qGJTU/xcmJbVhS81M0fWmZOZg4Z4NOrIaXD3pzP3gCz0WvtzX3FiGKEazFN3FW83W4+pzp5n5rUtcIfdw3pJahH1XCY8fhlmvIR2a6imWwOrxV+JrseN000TdILvPb/6tPZ7Kg7jgrvBlNDHatJb6SGO7OWGNJyr1Q1My/whiumY2fa8krHmDFa3nftmgmbty+Xz6LJ+M6WuY0YuPjr+HCzH9Ku0nJNHys7gsG4NP7uvH0q4ZWVIgxdOhNqCINN1hWJ3xGLZt91wg6U3l1s/JigiTmEKQWwom1pqIXtYjrUYxn/bbPxHsq53ps2fm8mtFM1Q4Pe3pm0PtSoYx/xZGXKmdQDrQDu9aCjh3EWdSAualWdKNJ6FoqhmR2y5xGLN++X/o6AeZ5e3rj2B4VFyCtCLdjZ+qznm4iAKiLRWyGIUOEWCSE+V9ahkseOw9HB1K2/XtRK3QJiWbIfho+uZJr4NVp0CegDwOIYnnqW+K2jHkEdZ3n841LxMYHPl6xGEtS7oWiirwqDFGWTSwSKnxp7ZRthruIqBSFNrJCMuss9s9sEu4OX4VVqU0SnzXDLbOf84whXB59Ht/TfoXJNFRpbJUcyBDZNGSatU5sjNzjajyepDD+NrXU01DKCqVEZIjhZI/iKev1eSErgrMWWBWLwBXTsQnATW8U9dyK3PAq8lIz/wqjZDObAOJsQV1LuWQjtS2aibaHXrLJOTiNy2S8j1vobulMfCA22XTl8PdbJSV+G5qHS7VnDEGybGrjpshmbMLmoYGAmmzupxXhdpfhB4APLTo1MnJR3GTZs8YiIWn2lE6ETUtme6bWyjJ88g3iehGkhgIAED/q2lSupiyqGYwbZfwrEC8/et43eQBxtiCupVt2vIxtL7xtGlK/bCS+7dbHXjHdLiLjEs4MYly0HvFUFDHYfdWr+i9Dd9IYmJwDx1R2CI30/+C043xmLosbyIzpeNYv3G5F5K+XZdr00EQzO2rj469JXXotcxqx960j0tVNoTUVueDXSN6kbqrtz3Ll4KvcfzEq22cUIWvkHqjC0fGgcrjxCBI027Gv22b4OX7ZSC1zGrFv1eexaclsxCIhqeGNpo5hfXiZq4L0oeRnEMo62YXqn55X7ZZJAPKXOQDEmUb/mrnA3dQlEsPUy283s6O8Kl937OvGL3/rFs/jFFKZK8J5HZxmrdM3zRaA0ZRl4SrbpnJlqo2UDLmRhpr5jyIKKnBZuMrl84+jChvTrTYRNxF8tSETgQOCuYz48f/86CRMhrt7W7fegJ9LKki5TzzfDldO94hfto1IrdS6chAVSnXpp+LWcQ9jfOrPxmC7cKgPMiB36QFG4NvL7y8L4j5XfT5iKd2zII/DYwteK5EV4XZ5PCM2wXD1CD4bUL4cfJX7L0YZ/1FEQTc5f1B5k/a6qYgtXIU7Z3nPHIPIPADBs5Fa5jRizztt+EjXLTmlInK5X1lcQN4SxMA5o+/QmzA38z+4KvQUQtCRgWY2dxe5lrxSTjmHZzTj4sMXoufDOKZUx9CWmYkWwed3DrJ+1dTWa7YOOLFICLdfcjoA+A7OsgHe+dt6xhB8grslzVQbgecd6Si3zyii4AKXWa3Ajb8D1vQa//oYfkC82nBiFfUKwvLfn+Jym8j68fLjn3/aJKw/9VWMg/shT7MIMO/rQJ3RRM45BIgGlmatE4tDzyLMdLMxy+LQs+aMX5Zy6sWLbx/LyyWXzwzVWlzVMqcRu1cu8HR/ia5HJLI2WCPq6Arzu/WiXIqdSilUjJr5jyLKUeDiZ5gYgKvOmZ5TYK2nN45uBNeXIQAPd3XjB7U/FWbohKuPAy7+ydA1HWi39YkV5bh7Gfh8M2vydcnJZq5e9PTGTZ82P77fcUTX41qJHFjrcg+K/PsieND6l799BxkihBjDZXML1/jxS3JQuf9ilPEfRZTjJvcyKH6xgnyOKSOeyqA6/p7wNT1+FCev3Gn5PlpRM6vVs1mNl4HPJ7NGFiPo7o1jRvbazj9tEp5+9X3Xbyca1P2wri4ABD6O7ypD4B4U+fdF7NjXjYe7us3YRYYID3d1Y94JE0qu4lkqIblKRhV5KQqiFEVnQeMIToIUOlmvTdZRyu9YsmCwzDUlk1PwcmUBQ1GKRsvAkOugCNiL8/yC86Uo5CvlOWUDuOr8ZaA6eSlKRjGab3gdE4CZxjm+JoL6WET6vnujVxsuCAs6GXnpXATOmuIni4WEGPNMnRSlcnoZ8psi+cUIrLUSD3d1o23RTGxaMhuRUG7aEdbZPPf/87RaK6VwEe7puAdn7TgXz8W/JBXiKyTrRmXy5I9y+yjyxulrvWPJ7KItrf0K2Zwrg0iIYUdmPo4mkrg5+iA+hvdBJC7meqzXMNKyGEk8lUEHeevfyDTvGwXumymD4lhALtW3fNDis1lZj4WgWS3D4iI80I4zXvwhYsxQ/JQW1BWQdaMyefJHuX3GOPlWBJdMYygg1uuur4mgbzCNlKV3oZfbZknNT11uEOvn90uLFFET0fD7//NF8Yt3nAEccxdo5aq7wwBbcxsn5f5NXAT43KVwEZb1M48wlLaPQkghZe/l7phkXRnMX/eUS5HTK2BrdW04Vxg79nVjIJl7W8Z4WqBumVVJNQygvc4gHarGJv2KnM7hN5vNZzZfUs0bH8mQfBMCrKhMnvxRxn8MU4gBH0m+VtE5ZRk5gzWTXZ/NGpD0LgWTwxfQ/FjzPngC66L3WZqcEMwBoG4awgtXoSkzH/+fxWh5rTaC+uNzyWoppuaNcBCpmyqc+b+LBmwaJhehQo4K+I5hCjHgI6ljkuicooAtIjHUfHGtbZNVDwnIz/ADRpDYeqy2cLuru5Xz6Dz4+sa6i7B75QJpZ7MQYyVxYxRL80amKbXn5O+6AvADFMU/sSsLvXRFEVDGfwxTiAEfSVWTbYtmuqpXeUbOe5gEgBkVqJfc5cpHD1KhDMDMZqqJiB+Zr3x6mu1YnhpDx95B/JHv4IYf3Iz5654yq2pl3+k/tH4SLaHdhg99Tb3x7wHvTKEgFGv1JhtElv/+FOCSuzAQO96WFfXLwXOCCw4qSoZy+4xhCqkIHkm+Vl456lQUfSJ0HhZc+h3Pawpi6Jw547fseNlWpfqVT0/DbS1nYsbKnUPH9dH0jyGBtnA7mnqbXK4W13ca2m2vqj32jvE3EKi4SkaxMmU8B5FZrbjwNxPRnbDvM5zxIYUYZfzHMIUa8JHka72t5UzMO2FCzp8lH1/7bS1n4raWMz2PFaSnLw98Wg2h8Du9w91oB6m4EUwuwPgXSw7EbxAZSfEhxRDK+I9xRpIBL5R8PouX5AEDctKesR6LSyzfFDEkHURlWVY5CE9DKMmakW4PSLFWb36DiMrFH5kon79iTMOriUOCjusE2NpDBj0Wjw90feRC7Gl5FreGl/s2WvE0hJJGO9LtASlWmqdflfdIig8phlAzf8WYp2VOI27cvl/4Wq6uCdHq48btZ+OIlpRWC/saQkGjnaBKmjKK3drQa9U1kuJDiiGU8VcokL9rIsjseUp9DB29cjkIX0NYgJKmjOEu0htN7sXRgjL+CgXyC34GnT3Ljp1T7v6s1oKMvRMVhFUo469QIJhrwjnLH0imA82eR6LbQwVhFcr4KxRZclESzbVZ/Uhze5Sj65tiZKGMv0KRxct/H7QSGKiM2XPBqxFTtK44MQjF8KOMv0IBf/99UF94IbPnkipsFvMcB9pLUnGsGF5Unr9iWNmxrxvz1z2FGSt32nRtyo2fyJnfbL7QLmYycbRifj9FO8cuj4pjRcVQFOPPGPs+Y4wYYxOzfzPG2F2MsT8yxg4wxj5l2fdrjLE/ZP/7WjHOr6gMhsPA5Ytf9otIPM5KoTP1YilsDss5SlRxrBheCjb+jLFpAD4P4G3L5i8COCX731IA/5LddwKA1QA+DeBsAKsZY+MLvQZFZTAcBi5f/BROW+Y04qpzpksHgEIHsuFIvQx0jgPtwPoZwJo647/1M9wKoiWqOFYML8WY+d8BYAXsYuWXAthKBi8AqGeMHQ9gEYAniOgIER0F8ASALxThGhQVQNlyyw+0+8ohB5EguK3lTNyxZLZUd7+QgWw4+iP4nuNAO/Dot4H4kaEX40eAHcvs39nCVS6d/kIrjhXDT0HGnzF2KYBuInrJ8VIjAGsLn4PZbbLtomMvZYztZYztff/94PoqipFLWRrA8ODksXcA0FBw0jEA+OnTWPfbvXKBdAWQ70A2HPo3vufYtRbICFRI9ZTdnz+r1eiNUDcNXr0SFCMb32wfxtiTACYLXvo7AD+A4fIpOkS0BcAWwGjgXopzKIaXsuSWewUnHcYql1z8YhdJDUchGO97YO1FYFMt9fLZO18rcsWxYvjxNf5EdIFoO2PsTAAzALzEDEXEqQBeZIydDaAbwDTL7lOz27oBfM6x/Zk8rntEMxwpe5VIWSpdSxScLMVA9v+3d38hUpVxGMe/TyYUVIRYBCnarVQQLBJ4UbQhaUteFwXVrYKCUZnQRUEUQnVREBFCkCCB/SMSM+q2MP8V9o8l7M9ipAgVdBHa08WZpVVmdmR3Zt8z+z6fqzkzwzk/Xnaf8877nvOeYd8I9t7RKfYdnuJ854HD5232HZ5ibNWy5rg9nrkLZDx/EZrzdf62vwaun96WdBIYs31G0gfAFkl7aSZ3/7B9StIB4LkZk7zrgR1zrr6FBr1a4mKz4He69gq0TpjN9UTdxiUb+um7mNv4082Y/8VDP5ctzXj+IjSsm7w+AjYCk8DfwCMAts9KehY41PneM7bPdt/FaFro1RKjj1mWQ57vibptSzb003fCfXoYZ/8T/0/6XrkMNryQIZ5FaGDhb3v1jNcGNvf43m5g96CO2zZZLbFlZlkOedfzn1Z1or6keYqM5VcjyzsMWFZLbKEegVbbiTqLucVMWd5hwPLIutFR5NLTgi71ctaoQ3r+AzaKE4G1qrEnPGrzFDE8Cf8hyD/YaMiJOmqW8I+q5UQdtcqYf0REhRL+EREVSvhHRFQo4R8RUaGEf0REhWS3f7VkSaeBn0rXcZHlwJnSRbRU2qa7tEt3aZfe5ts2q2xf1+2DkQj/NpL0pe2x0nW0Udqmu7RLd2mX3obZNhn2iYioUMI/IqJCCf+5e710AS2Wtuku7dJd2qW3obVNxvwjIiqUnn9ERIUS/hERFUr4D4Ck7ZIsaXnpWtpC0i5J30n6StK7kq4tXVNJku6R9L2kSUlPlq6nDSStlPSZpG8knZC0tXRNbSJpiaSjkj4cxv4T/vMkaSWwHvi5dC0tcxC42fatwA/AjsL1FCNpCfAqsAFYA9wvaU3ZqlrhHLDd9hrgdmBz2uUCW4Fvh7XzhP/8vQQ8DmTmfAbbH9s+19n8HFhRsp7C1gKTtn+0/Q+wF9hUuKbibJ+yfaTz+i+aoMvDFQBJK4B7gTeGdYyE/zxI2gRM2T5eupaWexTYX7qIgm4Efpmx/SsJuQtIWg3cBnxRtpLWeJmmU/nvsA6QJ3n1IekT4IYuH+0EnqIZ8qnSbG1j+/3Od3bS/Lzfs5C1xeiQdBWwD9hm+8/S9ZQmaQL43fZhSXcO6zgJ/z5s393tfUm3ADcBxyVBM6xxRNJa278tYInF9GqbaZIeBiaAcdd9Q8kUsHLG9orOe9WTtJQm+PfYfqd0PS2xDrhP0kbgCuAaSW/ZfnCQB8lNXgMi6SQwZjurE9Jc3QK8CNxh+3TpekqSdDnNpPc4TegfAh6wfaJoYYWp6TW9CZy1va10PW3U6fk/Znti0PvOmH8MyyvA1cBBScckvVa6oFI6E99bgAM0k5pv1x78HeuAh4C7On8jxzq93VgA6flHRFQoPf+IiAol/CMiKpTwj4ioUMI/IqJCCf+IiAol/CMiKpTwj4io0H95WgcffFFGOQAAAABJRU5ErkJggg==\n" 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9WSzSOtGZXIFXaq7BL2qWY6PxLaHhl83B4mThcPh7/lr/KBb/ZCEW68/Yg8BI09WT9VcxTz3J+j2gKrtt0ZnDet+oqaOqOnkI5faZ6ITID3OCjGYlJXzjFCS5XidxxwAAjJTd9CVIMtoZOJYdbxrrw8r8p20doWM0BYwBm4wtWE3t2FBoFQZNnfDBwru6mA7/igIACqThTdQJ/x4nCwcQrGhKmTaLL78HGxvEs24vhs6QL5bnEbDdgbNbhcVdI+HOqERG2mQMNquZ/0QngvwwIBZDi12EU6akM0fXmE9mgf8mnW0z3Z5V7tqfQd+gJQrnnHF3Jlegteb/YdPSOfj4uSeDBRyvixptHaGV+U8jxXKYznpdwWUArqDpEbNeqKQZtlrhaCC05ZdFClh7P5c3KCx8z1KmTdRisKVnn+QKskclakDSKXH9zJoLhz2xiDOblwWVJ2OwWc38JzoRColkYmixinC86YslSedf/e4Yzl50o72bc+aX6cn6unDxvzkblz+4LyOcbQ+SjizqMHXncmQfvQ2dfVehJ/d+YbrmP9A3cdt/mmj5yE0AgN175+A69oTLd+81tkGZPy25e+yVk6EzTEkmfAVWgasVB3zAQX5IuVQUsI6Ship9z9IkoCbhl6nwwvsFMyZ3R3nRGcNV89LY+NhLuHnHgVENpMbNSFNtKC1UwHeiI8gpL+i1uIN9SthzFpAHZZ0tAH3c/W7hIHPIbMJl+jfQtkjePFyWfeFsaK4zhkvZ01iTbMdMstwxJ7ABn/zzmvwNWJ1oF7Y3JAK60IQninOwRH/KZdhNAr5bvBhrC9cDsAztZmOLL5XT2pc5XEPdOJJ4K/4xe7UvKydKm0Vn+8cwZMdzBoVl+wwaDejOJXAiggvXysHQrRVbf94dyxitQGrc+3U8ZPtUiqCArzL+kwFHtg+mznKV2osI6rPLAPED09YAUekU7x8rMwSy7Iur5qXx4L6Mb3tNQkNPNh9oCJtZd2A2jrcwy/naltw94j67Do6Y9UixnC9TyGvERcfJUQJ/plpMY32R0lGdyLKMTAJOG7xf+p4m0wEquny8cQYdJwzub3lKUkeuYEqLzAInDBVismXwxEFl+0x2uIRwW4/1M0RlMcj/KRKZ2rU/gzcQLBUs0/OXtRP83rN/EPpxuWtF5t5Is26pJj5HZPitY1pxkCBfPREwnfWGFoIBwEOCgqr/KP4NsqiFvMZYTlCWEb923iKuo1QPmEXfgy463yh4z7o/VwysLna2s+RUWtSt0hlpkwXl81f4kEkpO3Ea81t3voBLiktCZQNcPtiSO2omsgCLX9Qk06hhDDgBliZ+DYuX184HqiBfvWzgsF43FERfpHVi/dT/RG32DXSZjViZ/zQARJKOkLGh0IpNxhbf7F9jcGVvOYu4OpMrMF0TZxmVk0bqJcoQ5owXjZSom2oqHx81859kRJl1eWdSMpz9b6PIBrhWFAEpqFHYUGj19/UtkWQF9CGFQ2ZT5IClc6CKkscvgg8ei7RO3JX8Nuqyr0MD2VlCXzG+LVwxbDa2uFY+soyeDrNF+n3IDHnQQBY3jbRcnBMFlWdfPaiZ/yQizqzLOZOSBdS8/W+DZAMYgAvOmDG0IWIKahBZSiKFnHA23oA+vDe3NTBwSwRLZ8jje99QaJW+RoZz8JDp/MsGIuZY+cwrvuwKRntXB5mYqpyyFZJJiK175CSq8ql9HqX7ROXZVw9q5j+JKGvW9Xw7Hmc34ZWaa12z0LD+t14IwIP7MkMrjQhtH2UECatxTDC8UnNN6EritMHt2FBoxepEuz3TjgMRfKsc2Ww7bDCpYzlcq+8JjCeIVjxBAnbiFRLDfzV+pOxsH5m4XpAQ3d/W/xy4+934be21wvqEqSkDC9bvwSlrHsY7bn0Ep6gmLyOOmvlPIqLMupxpcH9b/3N8ib6JuuKAyy8/3UhizqXLsXhuGnt/f9TOCw8jmy9i5Y4D2PjYS9j0V5/Fu3/xD64ZMjdi3owSL2HFU0SwJRRmsW6YJJa6P0r1wtz5zcaWSJ9HljEj1fmPgA6x5g9fEQXVA0hn4479/8SaMPPKr+ALjzQBKG+2HVT/IFr5LdI68SW6Dzg+IGx3aWgMfbmCHcx3qoXevOMA9v7+KO5YbMlTlJumOZnSO6OiUj0nEUH50KsWno62joOuQiVpnvrUk4CbfyVMsYsKF2vzGrHH9b/GVfPSePLFw8j0ZIUDwas110jdOEVoQu0ck+AKlA6SjlX5G6U1ATKKBDCBq8hJWKpoEAUSn/9Rqkc/1UrdLMIUT0/tAmBd91fXX4pT1jwc+9w4Qdf/1FLKqZOgtNyldf+K/lxBqvHP+fi5J2P+26eXldIpuk8ZgGvPPdkeVCYqI5rnzxg7CcA2AG+D9ZxuJaLNjLHpAHYAOAXA7wC0EtExxhgDsBnAhwH0A/gEEf0i6D2U8ZcQM38/Tk49EKReybDrioN2M4/hwg18WjAjcxZ6AZaRE2W8AME5/s7TPEr1WFdYhg6zJaJCpwUfMKK4SxZpnVib2IbpTO6aEp3j0+aZmK/9j682gECu7KV+SuKB4vm4SDuAZtYNM2DQW5m/yV4ZfDH5AN6GbmTMeDUGTn5T83GpOB0BvsFJdo0JDKytR1pX4l3J/It2Df5j4FzffmG1BLJJDwNw99I5E3oFEGT8K+H2KQD4eyL6BWPsBAD7GGOPA/gEgN1EtJ4xtgbAGgC3APgQgHeW/r0PwDdKPxVxEMgpOFvliZCJasl62crcF/2pmbh15wsVMfyA3MXjXKpzVifapYVO3HcvSwHlTEMvNpeE2vqoBicweWN5WVBYxCKtE19OfBv1juPFCRozBrRoB8FgrQA0mOhBPaaiF7rnOHUsh2X6E/bxNYm7iKeBXk0/xXmlYwNu1wuAwOCt1wjLXFOMWQbVG6QOah353P6MUIxPJtHRpxX8braQYLHs7wRM6taRFXf7MMZ+CODrpX9/Q0SvM8ZOBPATIjqdMfat0v//o7T/S3w/2THVzF+ARE6Bu2TiEDTz8rkvjBTa6MbADlzDga9EHn7+daErQOZy4FWucV0usmpfjkhPX+RbB4B/Mr4Bg1XueRLN+MuBxzxEn/Mo1aMebpmMHCXwhfxye7UgcidFWS0FVUzzeMm+t1wirCuJImXBKXfmDwy5wSYqo1bhyxg7BcBcAP8F4G0Og/4GLLcQAKQBOK3WodI2RRwkqZLS7QHIMna8uftcl/07I2T4ASsovP3ZPwgN/yKtU7pK4Ln5/JwLFO3WDjL8onRIWaZLm7GtooYfsOoVhmv4AbnhB6xVkNPw8/dtM7YBEAd3NWZdmzDSpdl+UA1IV08Wi+emcdW8NHTHSUbpqMY/W6YnG5gZtGrh6fL6iEmo5smpmPFnjNUDeBDASiJ60/k3spYXsZ4Mxthyxthextjew4cPV+o0Jw6SVEnp9gCCpH65vPF5qZ22NES5D4zusUCyYibZjSJz+RABKQy4iqFkbpA4MFg6/s5zk2W6TJNo9Y823oW8rBAujGnoRWdyRWCRGDfmMueBU1SC30enDW63FFFLrhsCMPf2H2PHz19zuRFlhXYDdTNtuWlnMsC8Nx/H2bvOBwnkxBfPTePakpS3k8mq5smpiPFnjBmwDP92ItpZ2vzHkrsHpZ9/Km3PAHB2eZ5V2uaCiLYS0Xwimj9jxgzvnxUX3Wa1xnNipKztMeEVvdPqDOHfDZ25HpKouvBOUoaOf2p9j/0AimbQm40t2Jdc7soBdw4Q6YD8+Uat15VrXm6Vrve43jz2cnP4K4nM2JoEbCte7OozMAC58Q/y+LLS55Z9LL59Zf7T0sE66gB8rD/v0wcS1ieUmvasWng6dMbs9+X3Upp1g4GG4l+OAeCOxWfh7qVzlP6Pg0pk+zAA3wFwlIhWOrZvBHDEEfCdTkSrGWOXAvgMrGyf9wG4h4gC/QjK5y8hZrZPFHbtz7hSPqfVGVh7uV+O2RmMjXIHbSplVXD/a5DcMU9R3Ge+K3bKZFRlznIokAYdZsUMfVi8gQd9nasd/rh6X0clw++UpA77/ERAH2pcAeq459lPSWQpiUaBftBw+g8DsLOTZqLbvr93FRdEjg+UE/+aaIx0qmcLgKcBvADYQ/0XYfn92wGcDOD3sFI9j5YGi68D+CCsVM//TUSBll0Z//LwFrZccMYMPPni4YoXuoQ1Zbebeu++HXT8ELqoESciWHbZJOAY1QuNShBcQhoYCsymWfeozswBuZEW7efch0+Ae1CPKchG9vkfMesxL7fV/j1KLwGTrEroRIRYRdDAd5TqUYtwiety8AZkRfdaUEoy2nqG9f7jHaXnPwmJUoAVViATtSoy7L240Jmzmjds1hu0T5Bh9c42g7R9qgEi4Bjq0YA+9GAKiIBprFeaty/DJMvVlWbdKCLaCiXKdzB0fMvDLk6zZcK+xw3oDdT9iaIPlHakI8tWmWrmL0fp+U9EQvrlynL3nQTp+nCDnik9cF4Nfyc8W0OGSOhsOMaYm0TvvMUkYLc5x/fe5bzXaM2JGAOmohcAoQG9aNSsfsFxDD9Qyq/XrBVOglXONcXposZh9T32avlE0QdKGTouOGOG6z4UIYsPOONfle4hMBFQxn88wgu8jr8GSAJcUVUSZfvFFYF78kUrI0uUwRO1l62XY6j3PdREgM5KBUUCXfsl+lMuAxL3vaO6ayqJXgosR600FlHO+UZ9DddciiIqF6T74yRsv4aUgTuvPAtPvng4dBLzKDsPB+fdYc30MZSSzONfcSYykwll/McjAi185LPW9hJR0zFl+8WV3u3qyUpncz0I7qwlgghoyy9z5YcXSIukjPk145t4peYa7Esuj/2+1eoeGguILH8+991H6tkQMT8/bL8pNQksnpsOjCUNnSiQOeky7Pqbx7CgdidO/eNdWPBIk23cVQ8BMcr4j0ciFHhFSceU5Tnv2p+BJrGCDXWGcPnc3JCSzuaI4uebH0O9bXB4fnjU1MEEszJkuAtlvMON8BGzHiZZ4nKj4ZZizMr3/5rxTbzqkLveUGhFFzWimXVjdaLdtdIKcg25fw/ej7d/jPL15U3Cze0HsHLHAdfs/uYdB/ClXS9IJyyiFpOTCRXwHY9ElHYoJ9snKHhr6AwguHKyedAYABbtOhOaIHPEGRCMknnjzRQZy6ydasAbxP5FzXJMZ9GyoKIGdaPuJxOZ499XkJRDmAqpcz+dMcycWot5bz7uCgrvNufYYnZRmsgwWL0CnGq1XmTpzBMBFfCdaEQs8Fo8N41nPtyNV992C54ZuBJffGkJLin8NPDQskCxzhimJBO+Yhyu0d/WcRCvQ9yIhYGwOtGODYVWadCOaOhf1rFKcLqSJqPhJ7JcJM4q4zjVxIxFWyWYkebYYskJp68+imsoyn5FIsx783GfG3GZ/kSsJjJUugZBq+Bj/flJGQNQzVzGI7yQy1ng9c4PWL/vXD5U8AW4lD/rsq9jNW3BUS2Hjp4Wu4UjgNCCrUvZ01hdbEdzjXjG1ZPN4y6tVVhY5GxTKFPRdBr2RtaLjca37CYklSzUikqcNMiRxKmU+U/GN2wVzkrC3XL1GCz7Mzt9+kHtPCVn4NvCmPi7955fUBMZTk9/HncvnYOVOw5I9+ExgIk4+5eh3D4TAa+8M2CtBBIpIHvUt7vXjeDUSBEhW6I79eSd6pZBLpo4RvWIWY9pbGL47SsF18yPc02CrrnVAAdIsGj7y4hbzSu6p3jNQ1s+Xq8Fd52Bf3LCVT/DihEnosKncvtMdGTZPwLDD/gzL8KGf1kg9zrBEhwAWnL3SI8Zx6hMZ70V0eiZSHC9obiv8cKDyL1U4zL8sv2DILIUPJ2uKZloH0c2q5/OhjSaon73/aiR1gwwwE5qCEuCmGwKn8r4TwRiyjhHaZLuRJaW5zVCTt9vpYz2bnNOYKYQjxMo4tOWXxZJ1ycMXnPBje66xH2hBVxB9Rf8PhI3nxftPyCtGSAMNTHiAoYNKbeA4SKtE8/UrEDnwJXCgsmJijL+EwGZjHNqui8w7C3KiUIcQ85XFRsKrRikeMqfXhgDLtIOBOrzm2BV4Zsfb/ShFuuNe0OvXdxrW8dyuFbfE1roFXZPNbMjvqCwbCCSavWzI7b8M2fx3JhkU88AACAASURBVDQOrP0ANpUUPq8oSY/4FEF/9PnACvqJgDL+o8SIlpfLsn8+dJdV6ViqfOxPnYgNxk3S1DjZUl00A5M18+Crig6zBX0Y/jKaG4HP5z8lrC7V4rWJmLDEXQFNgX+2XClkbR6d7sawWb3zPuJ1HhnJgFGUmLHX0Yi+wYLwmVs8N41n1lyIzTMe8kmPIJ8F9t4XWEHvZLxKRyjjPwqMeHn57FaXkXeVt89utXL/23pQd8uLaPvSOqFuf5DWiigt77vFi30PbxY1rlVFQ4yURJnhchoB5zmEadVXO5V0VXE558/lb4rUYQsY2Uwm2bGP0RT7//z7PGLWCxvQiFanMnmJ7YULfZOfLJL4anEperJ5+5lbueMA5t7+Y/dzJ3WZek7KU0HPGc/SESrbZxSQZRmE9R4NghdwZXqy0BlDkchWQAxLV9u1P4NVP/gl8sWh7z5Oz1TOkCrjEbyORtyVd6d/yo7p7QHLDRaD23B4Neqd71uOVj+RJQrnbYY+FgyQgRrkIxvhsAwc3qcXqI4UVRHO3sBO1iXuw7X6HugwUYSGn5l/idPYH4WZO857rosasaHQiofMFrS//xDO/u0/g44fwh/RhK/klkhXuC41W1nBpBC/RPRIPNuVREk6jzGyBunlppYFVeGGyTTzBjD8IbkztwR733IJns5eKa3OPW1weyT5XS9hKaJp1h2atkgEZDzvF0Wr3nsMEwzfK16Eq/RO1LOByK8dKaqljsCL97zyxJAAVexcRZLbopRP5/tF6Q2gM4aPve8kPLgvEyoEBziMsyhNWpb8LJCIrvSzXWlUqucY4PQDynRypKllw5BrDhSscqiBMhBm4jA2T/k3PPPhbmkGUBc1RpLfFeF01RBZDUFqkcNF2gFsKLQiQ02haYs8i2SzsQW/qFmOdYn7pO0cg+inJK7Tn8AUjL3hB6rT8HMs15r1fSVAOEr1KFJlTtibZhy1kGttYltg6miRCNuf/UMkww84BApFLtP510dukSp7hsdD2qgy/iOA1w9YFKyupM2jKyDXLP27pB7g0A9uxVeLS6VyvVFlekV0mC3YUGhFFklbcI0PHnGMOM8BX6Y/EdtwMgacoA1CE8hAK9zwVdZA6fvi/ZGjBNYjpYWCXMY7quT2dNYbOvmI48NwGWdHXAw3/wq47GvyGJoHUe3AeGkMr+QdRoAgfRyTKLiFYpBcc+nma25IBVYqum7s59vR/+htqM2+AUbi5XszO4JdxQUwiXz+1A6zBZvYFvH7eGZxMtqMbVK1z7jIjHeBGPQKuicmIwXSkMKAsPOZ7LoWiYGBYJa6h/F2j32oRR0GfCs7p9QH8lbK56wIA0A5sg4yIhlnniwRAn+Go3S8qzaU8R8BZDNvk8jvB/Q2YZcFnzxyzUE+f/vGfr4dhR9+FnXFkqtD8gA7M2pED5PsAfW6ikRxgXnay7GEyMqBSx4owx8fPgATrBTNoJ7JIl/8A8XzsUR/yh7cEzAxSDqSKAS69HjfBQ2mLwHA974Q37qiyUeYVInGII2JRW1b6mXx3PS4MPZelNtnBIjsBxS5eGQW2lHIxSsVeQGLXnoi0w0p9429+3YkisE+7ihFX1E6OIniAhuNb5XlpokLY4ARoQm5wg//bqK4xI5SvU+F8yLtgG9VV8OKSLJC6HtzN6AWoDxKBBzHCcK/eVVkU4aO979jurToy9AZvtY6J7AP9XhM2SwXNfMfAUQzc+FSU+Tisec5jqdBItcs0uLf+NhLuHnHATQ3pNA5cEj4IFgzZeZy7QTRYbbYCptelxBHFBfwSv96z2G4wm+KcKJcz6h6/+sKy3z3iswlGBfZOWSoCRvyrbgr+W13MZaRQtdZq5H+dco1U9/42EvCmb/OGDZe/R7pDD2o29d4nNVHQRn/ESCyHzCowCQ1fUiYLRGeOeBN/8z0ZJFJNgpTIjMUrMAoS+sUuYScjVbiIHrYC2TleJ+nHVQDwDjhGNWjMWJjmTBEbiV7kpEDbjGsyQcrSZafPbsVzywq7fx8O7B7BRZlX0NX0p+KbBIFGvG4bUsnAsr4jxCR/IASH38PTkCyvxd1/EHIHrXcQ4A0CCWauWwo+PX1+ymJjSV3jcg/6s27dgbnvLO+coutZOgwMV/7H2X4K0ilriXX1/dOAGok7h2vIY+yAjlK9chSLdKsG0VYacGrE+1AoRSPGmyx8vNv9hRPOXL1NSa+Z7nLVebXlyVRjIeUzXJRxn8sueg2X4FJlpIoEqFO8xhUT8aPF9EMReSuuTf5cZww92oYP38NH8LTvhl+YFpnAa79RWqKTrgfN6oRKEIbk8YtimikWbct98EJqps4ZDahmR2BCYYEC+6/3E9JrCsswzztZVynP2Hv7zXkmZ4s2u5Yi9XGDtRl30B/aiZy2V40wH3/O7OBuMt11/4MVj3wS7sbXaYni1UP/BJADFftBEJV+I41jmyfN0pl6ZuMLZLsB395OSesUUXp1Xh1/aWYs+7HOH/wSeGqIIWc0DibBAwgGViJKdvOpQeOoR4NEDdnEQ0UUf6mGF14HwDu/3+15hrpd3bq4P0AIG3Kwr/XjKMRkOze55XBUSqCOSYxnJfaac/u56z7sbCXb0PKwIG1Hyg726eaCarwVTP/saaUT7xrf8ZuM7ea2sW5zzLpZgSnf3L4ErYnm8fqpHiGL826AAutxJRt15jVlSvFctKUviDDrox+9cCY1WaTz8aPSnz+R6ne/r8sVZgxt1+/M7lCen80syNYpHXia8Y3fasI2f2h1U3DM7cMuYhkTdz59uGkbI7HgUOlelYBPFjLEaVWZimJ597xWekxvOmf3ufBufQF5JWVogdpkHRphWfUheN01qtcOsOkmhbpPE//R+a5vr4Ng6RjXWGZ/XuQfLOzUjyo2pcAfNXYGuo+GgvGa5qoMv5VgDdYK5JQviV/A1b++p3SYzhnHumGFK4992SkG1JgGMr/B4C/b7d8nFEbtBRIQx9S0tlVJXVfFMFU2woowUws059AHgaOmPX2vboqf6MrLsDvZ9ngxYu1gu5JnVGk2gEX2WOuX0VS5vb2ED2tIILSRKsZZfyrAFmwljexaMndgw6zRZp2Jpp5PLgvg1ULT8er6y+1pWVv3fmCrTMUtUWeBpJW6BIBPzLPDdV9GW5HL8XYkA/onsVhDKhnAziBDeAYTUEz68bqRLtPd6fDbJE2Y+GV4lHvSS/Sc/S4SddefiYMj563oTNsnfNqqJ5WEOM1TVQZ/yogajqZbL8oM4+w1YWsTWIPpgQ2Y/+o/qT0fImsQF3QykExcpTb35jIitEQ9MjfW5IVLAG4AOG1sEpxrwpsVPpZjX/QkBRGbrz6Pa4V8car34Ozf/vPcj2tCIxXZU9l/KsAkTKgl6C0sygzj+BZCOE41SFH7vh/PyVBIborQVW8R6keLbl7pB29Ku3Driaf+FhTboYUEfC5/E3Ioja+m8UBl2F2InJnenX6uQqsrDWjiCnIoe6qf3G1K22jG3Hq/VOk7RudK2JTVmwpLcJ0M16VPVW2TxUgqgi+4IwZePLFw5GyB6IUqHj38abMNbJeDJKOo1SPBvTZEg6bjPDyfcbERT0/Ms/FIq0TJjRogr6ulV4NqNXFEMO5Fm3GtoqI8U1nvb66AGelOK8O38S22HUmALDeuFcY2JUJvPWnZqLOkTXnrXTnyRQiOZRbd76A+UxcCR+UXedkvCp7qjz/CYCos5e3o5d3n6htG+N2zXLC0ztFWT4jpeGjtIGqC1Eb0EVapz3AOL+rQdLRhxSmC1JHC6Th/uKFuNqhIApYq9N/ZJ/CU7UXYP6bj2O10Y4T4e82J2qryGtjhJXqRkqq4T+eUHn+E5woMw/+/79v/yWKRNK0umbWjc7kCruKd7c5B0vYU2WlaU5nvZFrAbyUa8SV4R8bZN+XU3Z5kdaJtYlt0vuihhWRJPGKQwPhtsL12Gu+SyAweC4W5R7HnQGyJJmeLBas3+N6PrgrVFQJP+vyO8e94Q9DzfwnGbznaNTm6s6eu82s29dkfaRQVb3jC5nx5zP/dYn7cJ3+RGjbzrDjyIi6kuWkDB21hoZj/f7Cr2ppvl4JVA/fSY6on7Ao80IU3K1jQz13B5AcNWPMVMvFcYXou+KZPIu0zkiG3/k60XEAabeLgJWsuNtcNl8EEcZloLZSKONfbUQoNuHG/JQ1D+Mdtz6CU9Y87MtqcO57684XMO/Nx/F0cgX+J/kxdCYthVBn5sURs973Wk66lLutKnQVUeAppqmSKmebsS2y4T+G+sCMIG/xIj+srEDM2/DFyfFs3q6KdxZDVnugtlKMmc+fMfZBAJsB6ADuJaL1Y3UuVYNDmhbAULEJYPsfuTG/pPhT7Eg6FDnfbMWtOy3jvHhu2q745QGtjca37LTMWczqsrUqf6O9JO5MrgCT6LIXoUVqtC1bshfIyvaRuYyGk5ZYzusUI4vz+5jFuiOn4OYogbb8MmnviIaUgTsWn+XadsqahwGI5cthpLChT+63b25IjdsWjJVgTIw/Y0wH8C8ALgFwCMBzjLEOIvp1Jd9n3IktRWjevvGxl3BJ8adSzf2Nj1lLZmdmz9rENl8+fg0rYm1im/2QBRl3HSYyIY22gxQ+txcvxEXaAWnWULnGW5b6p6guZN8v770MwJed4yVl6GhbdKZve7qUwuwN2v6JNWHm5V/B3keaAEmNywVnzCjn40wYxsrtcw6A3xDRK0SUA/B9AFdU8g2qUmwpzKUjKSoxew7Zbp2unmyg5n5XT9ZXzStKnfNuD9P6qWMDgTINQVk9PFhcaaL0nVVUB6LZP2PWfXfa4P22hImTaXUGWOlnTULDzTsO+NybzgIrLolypvl9PHvFT4HZrVi18HTpBOHJFw9X6NONT8bK+KcBOFtYHSptqxhVJ7Ykatbu1Q+RFJV0UaM9eKUMuQummR1Bc0OqLE2RDYVW6fKcsVLaJqzYQNwEMSt9LpqQ3EgwDhLaxj3lXmNRQHaR1onO5ArsKy7B08kVOG/gSfRk88JJnFPNVuS3Xzw3LZUnifucOBMnZDG28UTVBnwZY8sZY3sZY3sPH44/Qled2FKQS4dz0W1WcYkDZ6ZDNl9EtmAGBrdWLTzdpylyDOJgrnN7h9ni0mAXkWQFZFErFeiScYymYEOhVaofNNKo1cHIw5iVJhwXLurGWaR14qvGVszSum2doM3GFuxLLre1grL5ItY9dNB+jVeywevaTQdo70Q16FXpSRgmY2X8MwBOcvw+q7TNhoi2EtF8Ipo/Y0Z831zViS1F0Q+Z3WpVFU49Sap9QiQXyPo6uwY37ziAvkG3JktbfplPt4cIaEAvflPzcbxacw06kytwkN4eOoNrZkdiqy+ewAYwT3sZRc8CvJpn5NV8btUKA/Bns8Z37WTxoBwl7IkNp83Y5tMUYgxo1HpdYnHH+vOYe/uPIxlfmfbOBWfM8Bn0lTsOYM46/3GrzpNQAcbK+D8H4J2MsVMZY0kAHwXQUck3qDqxJZlOiHf77Fbg5l/hvNROoR9UZ8wWyOIuGCq1WOzLFUDwdyzqMFvwhfxyWy3RLD2MGrM02VlphtWiHQydJXdRo099MWzGl2QFXKvv8QWdq3FG7rw+ingcQz2O4wTftZPGg1BEm7ENr5QmH4u0zkBNIWfjF8AaAKLMvkWuoW1n/x6fOfARHNSW2u/N6cn6j1t1noQKMCbGn4gKAD4D4DEA/w2gnYgOBr8qHmG+wFFH4NIRyc5yZIPXuadNs+fPKZazi6Gms16hjC6HB8My1CTNuY5SfemU323J3YNTB+/HyvxNroFIhC4QdqtWJqLdH+5KJsrr34I+pGME9g1GmM7cMtBheGMEUWffLtfQh7tx9gtrMROHpRLU3uNWnSehAoxZnj8RPQLgkZF8j6rK4eU6IaVm7Zg6yzL8Ev0QmdLng/syICAw40eUI80ZTtaNCYZNxhaspnY7LS9MryUq1SLIVg3nMBIM93PlwWAQBR4nwchaNZX5HnUshyJZhT8yvDECoIzZtyD+Jnp2nMcV9cge79XASthtNHHIzm587CV03Z9F8yN7pPUH3sFrwfo99s0XtZydy+byYrBjkobbHK+2D4fIaqUHDNUVzCu+jCV6NNG3iWpUJwsJWDr/Trln0Xc63K9Zg6XuKeoT4Ux+cBJ79i2Jv3mfHedxx6tscxDK+I8ycfTGvbias0iKrvjMKGXouIw9jXXMXQyWo0Tgw/VA8Xxcpj3rqgEwwWzDz6ljOVyr76lYQ201OIw9QasvAjBPexm1yJX1XUWtxs7WnYiDf3kzTvrFRryVDsNkGnSyigxFRWBhs29hoefUWaWUazfOVYXouMP1JFRb0alS9RxluIa4lyhKgs7XijTI+ymJNfkbsO8tl2DVwtNxzg/PRzP8A8RRqkc/1aKZdcOEZlfwyiosX6m5RroamAiuHkU0ZKtCJ0UCdME+h0zr/uIVuMdoCk5gA+7MHo+GvlOixAtf0aa1I2ASF6qsz8W2s3+Ps19Y63L9FPRa3ME+he/0njMihjlKz42RIEjVUxn/UYZLKnthAF5df2nga7030JBL54jVa5eAaVof/oQm3JlbgruNLcKH1SSG0wa3Rz7n39R8XNxZaRjGW+nyTDwGScf3ixf4XIEmAd8tXoy1hetd+9v3r3YEmseAi4yl83XeiU8WNViT+yT2liY+i+emgydaH+6OHH+rBMOZ9A0H1cyliojSclGG0+/I9Uw6ci1DD4NmPQwzcRh3GveiB/WYLkidcy5v06VA8vee/YP0fYMydeIOAESACeB7xYstvZ8RkH1QjC5E1mpyXWGZvXJ0SjhrDFiiP4V95rukLR1TRQ0D95t2DIzn1XtjVnz14I0zpTCIVYl2tPS02G7ULscq2XmMjW+2ArNHt1lLNaaKVm2F70RluPUHi+emfceQZf4QBWujA9bNF6RxskjrlDbTJkQ3/NxAfC5/E94xeD/WFq6X9hQQFQopqhfGrLRjwLpfPq7vFvaFcOboe8nmTVflrLO9orPad71xb2iyA0/TbG5IiY+R/LZQKn0kqcZUUWX8R5lK1B94qw1lD8M01heojQ4gUAuIPzgyl08UjXYiy9/7ufxNeO/gVt/M74Hi+SiQBiJL+nlb8WKclfs3DASIyCnGhqABuY7lsNnYgs3GFl9yAEfWWMXLJcWf4pmaFdhsbBFOakyJ2XKuaLt6sli18HTcYohXCS5ZlVGg6opOodw+Y8Jwswa8xjoo80emjQ4M3XyyoFpQA5eoM/4MydvvLdI6sUR/yh5cEjCxRH8KgFXJrBhfRKkOD0PYTN2DDtOXsTZIumtFy7X66YeSAUcmtzJCVGOqqDL+VUDcFDBv3EDUyEKUE23oDFOSCfRk89AZs5fHpzRK4hDD9MfL8rI5MndVJVNIFeUhiuUwVn6Q31kdDvj98DzTLErHuB5Wjyk04D43MMzTXrYTIAbYTOD5261MIEFap1RuZQSpqqJTKLfPmFOOWqB3CenU2pG5d9INKWy8+j1oW3QmNABFIizSOrGj///gu4c+6NM3AcI1/r0Mko6jVA+TGI5SPbKUxCZji/DYgHxwGU9SEBORIPdOuQuyo1Rv348yX/4irTN0wtFPSYCYT/wtyQq4Tn+idExCXfZ1SzL9nR/wy6qAWQOCpE3qZEGleo4x5aaAOXOgdcZQDPgencf6y394FNm8GVgnwB/SdYn7sEx/IvCBd75tH2rwYPE8u0jM+ToiS/jrV+bb8X7tv20DL+v+Nd69PuPlM3A5hpE8V54Cypv6mNCEK7tDpjXZEHV8I4Jdi7JJksIsZOpJVhrn7ttLKwAGOJOtPbUFE42gVE818x9joqSAiTTHnVk/MsPPm2I8nf2IPcvhhv9rxjel2kCci7QDoYafC8sxBtSzQSzTn0Cj5tf54eJz52kHbSXRoO5fE4Fqn1cRAceovuLXmwv8EQFHzHo795/P9GUuPZlceD8l8bn8TbbKbawV6fFDtlIupp4EeKtsvD01JhHK5z9CRPXjh+X9B8lBiDTGOb6Zfalz2LrEAleQ1UuadaMzuQIbCq3SJTiR1dRddIwwQzJcQ+Ps+zrSM1bZ+0d5z/EwgBGAaQE6T0D0YjznfnzfHCWwrrAskh8fGEpQ0ArAF/T2Uge4Rl/luSjGJa0+njrLfhafzr4m3meUg7/VgnL7jABRSrmdbhvPQtS1b5BbSLSd05lcIVw+F0hstL30UxIDSAr7/x4ym9DMuqMvvUeAKFIDinDCBrOo37XsOEepHg3oDX291+WYMnTpxAZwV7d3USN2m3P8IoNGCs+dtQ7Lnns7svmi9JnA1JOslcEERLl9Rpmwrj/OIC9QKpYq7efN+5e5hfigIUJnbNjB1LAisbHsyQsow18pwtx6u805w/qup6FX+voCacIEBf4M8PaLolPk/SROG9yOltw9WFu43pX00J86Ebj8Hqz89TvtZ1HYgS6gp8ZER7l9RoAgg71g/R70DRZ8gwNBHOSVuYX4a7wwAB9730l4fX8T0gJRtyI0JCIOANNYH1bmP+2aYdlL8ALwVWOrL+tCMXFgzIr7iNwsTsKcB7JUZG9GGmDdv9xFyidAz3V8y1b57AoQIHTWtKRTKTwz+0J03f+w6+/Iw76ftYaR1/SpZtTMfwQIKtnO9GR9bRY5okFj1cLTY2mkE4AnXzyMu/LiwNn24oW+7bI2jD2YYudiH6MpaGB/xmZjC16tuQZtxjb8R/FvcJSCO3hVI+PpXMeaNOvG6kQ7UrAarYiuXVDwnqd4hqUicwgeafPn20O7bono6sli1/4MNM+J8RXDeamdlqtnkhp+QPn8R4QgRcIgGlIGDqz9gG/7KWseFuwtP8bxbB4Ev1/U2X0rzF8aJdCXowS+kF9uHzOsMlMx/vD68p2dusKCwIOkY1X+RqGRl8HTlvnPZ2s/h5nwa08dMuWV4wAwrc7AQN4UPoOjIaVcLShVz1HGq74ZFdnDFBbcddKXK6DW0JDNm1JpB9H2fea7LH101g1CNJ96khXs1nfOJTXv4zoeMl4UwXi/wyiBXwITZulEgact859vpcNCp3+QTlDK0EEEoeHXGZs0hj8M5fYZIXjD6HQM1b6efrE7SCYKVWf4v758kZDNR/PpGzrDx889GTpjkRq8i3A+hB1mCzYUWpGDHjk1UDGxyFCTHYSNa/hFyILFIp0gp1DicYlr1SRShr+EMv4jjMhwy+yiLFYgUwKNauRFcLmHOxafhX9qfY99jnH1fLwP4epEu7BFpJdjqMchsynyIOAsHFJUJyYBDawXr9RcI5X0iIus6MurGZVuSOHV9ZfimTUXYvHc9IhIKIuKLcczyviPMCLDfe25J8eWd+UribuXzgEA3LzjgC+YFRWeVcRnQPwcdcZipfXlKOF7CKMMHtyAbyi04nP5mzAYQb7ZGVQ01SBQNTi/B40B9WwgVmA2jCjBYtGzU2kJ5XI0uKodFfAdI0QVwECw5Gu5gWQnQcGuU9Y8LNTzIQIGSEeRJTAFgwCAPtRikBKYxnpd6XfSQhoBPN0PANYmttkFZVHGtPGinTOeGIlrGhaYDUOm/slJB1TPV7Jh+nA1uMZKxln18K1Wnm+3+4j2p2bitr6r8IPc++0/ew217AbUGYNJhOaGFHr6c+jLiQeHoAcFAN5x6yP4qfFZofF2PsRBonAA8E/GN2BIGnoEHReQVyZPdMZqMCsSA4Plvkuz7oqfQ9x+0U6C7rPH9b+2GrH/9p9HpQ9vOb23x6ppu+v8VIVvFfJ8uyU5e/w1AJYE7e1sq2uZ7KwKBuTFYyaR7e/slxh+BrhcPSKKRKEt8gC5Dv/qRDs6zBb8GVOk7xF0XMCqKI0TB1AMF8LK/KftYH+lidLARYTOmPQ+W5Nstwz/C2vt54drV42URHM5MYSwSv+xRhn/sWL37ZaioANRn1OnwY9yA8r2aagzXL+LglfphlSk7IqwAaJB0DRehtc4hCmJOil3lhpn0BitAYYxebHdSKIzy+UGSOQPhoE3MBunO1vgRARHrBm/5/kZSYXOcmII1di03Yky/mOFREnQOxN2GvMoN+CqhadDF+Rq9g4U7OCULHh1wRkzsAkfFVYA7zbn2L+HDRBRg8ZEVgXpb2o+jldqrsG+5HK7RmCkiOteGU1XDMPIDDZhx+SxFm9w9SjV+4LxQccyCeilWmlg1plVFkZg8sHUWXIlzhFS6Cyn93Y1Nm13ooz/WCFpI+ecCXsNe9QbsCiYQuZNspebouXoJcWf4tP7F2MD+zqKxHxZHEv0p2yXVFj6nejvXqPh7AWQYCY0BmEfgEpTzUHiIJmEMIgs4+v96vspKfRVe+G9HzYZWwAAK/OfxnsHt+L7xQtQIA1ElhDb0+aZrsHhiFlvG/uV+Zvw7sH7pHn+bR0HcdW8tP1espTQlKHjY+87STgRIQB0/DUUZAnTI9iekWfcOVNKg6jGpu1OVIXvWHHRbZaP0rF0Lei1uDfxcbAcpJkBYX1Ag/yJfLnJfzozKYCh6s0T2KDvtbZP31PNK9JcF/39FXpbaAevkWYiZwhlyAqciyQ9VifaMStgRTUIw9Udaxaz0jTnFV929X5IwMR87X+kujxh9GTzePPn97uCuPy9kLfuG2dSwq63T8eGhxO4Ifc9NGvdVv+G0rESMP3fZ5UpdFZj03YnKttnLHFk+8TNVpClkMmyEoChtLQF6/dg3puPx9bikWVuhKXjeXml5poxkWQOMv5x+wNUciAZ7rF4i8y2/DLhdQ/SXSqQBg2m8LPLej8MJ31Tls2VoSY8t/gpy+iL7u2fLBQ2YrfOn/An1oSZV35lUgu1iVDaPtXK7Naybtag7l5TU4ZUNbSnP4dT1zyMuqQeubuSk+PJt8LIM+QdvgWvYfHO5ER0UVPgTHSkkBlYZ4/ZqOmOlVxBDMfVw11F09GLTcYWzCu+jLWF6wG4B+Ue1CNrJjGN3IaLpQAAH45JREFU9cKEBh0mMtSEFAbQqIkD9LLeD0G6OmHIgrgn4gg2PvYS9v7+KB7cl/Hd21foh4SOHg2E0wa3WymXs8UplwoxyviPQ2QpZG0dB9GXk+vr8/z/vlwRzTXxjG+RGZiWyOOl5DXoMhtt//7XjG/6ZodOF5FoVRCmDz+aEAF9SGGf+S6sLVyPRVonNhrfiiRRUenziDsIiETXrtOfwD7zXQDgusbT0QsTwHeLF9uDA2CtwmTIej+Um75pvVY88HdRIzI9WWx/9g++lWs2X8Qf9Sahuic/l2oJoo4nVMB3HCJLFevJ5pEvRnPjhWXk5EjHoNEAgAGp6dAZgOxRaCDM0rrxVWMrNhrfCmzGzVcFvHE3L/kHYGeV8ECiWWr23Us1gRo+lfZS8sbyXIqgw2zBqvyNiHgZK0YfagM/syhgLkJjVqxFtLLjg4MzwCq7D4gADaYwgOyV9IhDWLKA7LLfmVti+fQFr6umIOp4Qvn8xyGySt84iPzAJgBGwB/ZDLz23lU4e9GN1h/ufrfQ3xrEIdMyKmHVws7zca4QZO6XkQzaHjHrkUUtmlk3CAx6xCrlSkBkXX89ICYRtWG9SVZXaFkMg8jysXOD670PZBr+RVjxgShxnSBkfSaC0BnD9//Xazj7t/8MOn4If0QT7swtwd63XFJVQdRqQ8k7TDBkZeO1hoZjElloEc6HMDBg1tYA+ZzMDy/Bd2aQOPEGjoUDkSQAG7UBfTmMxMAyFhlGQQOvEyJgW/Fiu5dDMzsCE0x4fb3fh6wNYyWwhi4xDSkDbYvOVMY+IkreYYIhy/dfe/mZwiKaOkODIZhScv3919GIt6HbyjwSlcfHyJ0ukIZb8zfgR9QSWYtd5qIQuRxEbSjjIpvvjISRHm3DT2S5VqLIZDAGLNOfAAC7GbomCfJ6B2JRNXolSBk6ri31mBDRk82PezXNakEZ/3GKqOBENChsWjoHv/7HD2Hj1e+xt0+rM9CQMnCF1om7kt+2XCxcH2XncuBHn3e/2UW3+fytOUr4qj/7KYnP5z+FH5otMCm6FnuQDLRXyndt4Xqsyd+AXpL7yMMgRPehx91nrDkGq2duVJkMVooRAIgtvzycrB8RfBJzx+KzYAZc7GrSxxnPqGyfcYosz19WBCbcfvfngePegi4C9t4HnHzukAuI/9x9O8yeQ7afFhAXejWkDBwfyIcWg3HkGSBuJdHViXZsYltAYNBAPuMW1cUi8p3LXsfzyGXukLHE+3n7KYm2/DIA8ZrycCO+OtEudLXJrqsJhldqrhHGAOLWfjBYaZ3cqDeHtC6tFn2c8cywjD9jbCOAywHkAPwWwP8mop7S324F8EkARQAriOix0vYPAtgMQAdwLxGtH845TEaC8vxj+UKlOihkuYCc/v9STcJ5nmCztxewoTH8ebBgz5JlfYSdiFI/nSsEf0xAPCusdB8AIuDz+U+hw2wJTIkcKxgbGpy8A2ucWgo7XTJg/35K+oLCfDD01nZ8ov7nWJ2PV/vBv1F+L181L+3K9/eiUjuHz3DdPo8DeDcRzQbwMoBbAYAx9lcAPgrgTAAfBLCFMaYzxnQA/wLgQwD+CsDHSvsqYlAxqdggX75kYAhqS5luSKG+NiHUFgoirFtTOQVpTizdG4YCabF88M5PcYzqI73PaKPDtCWZnYY1qkKnsxubLEaToSbc6vh+RNeRxwAMjWG1sUMq+R2FbL6IJ188jDuvPAvTPGq0QHXp44xnhmX8iejHRMSrip4FwK3JFQC+T0SDRPQqgN8AOKf07zdE9AoR5QB8v7SvIgZlS8U+326lbbY1WD/f+QFIOwpLBobFc9O4al7aDsjpjOHac0/G70qxB1kT+jB4A3mRKFjcvsIiVuY/LQ1mytAc/vAog0YfaoWKqHGIO4AwBmG7RD6gFkj8iBMBR6keX8gvt691UIzmh47vR3Ydm7Uj2LjkPajLviH+OzsCI6LFyfRksXhuGvtv+wA2LZ0TS01TEY1K+vyvB7Cj9P80rMGAc6i0DQBe82x/n+hgjLHlAJYDwMknn1zB0xz/yPyhgUth3jyGC8kdfw345f3AqecDrz4F1zxXIJDFYwyZnqwrFa9IhAf3ZTD/7dPtxtlBvtppdYYrHdXpG+b2tQgN24sX2pWow5WD4EHNco7DB54oPQrqMIiV+U+7Yhy7zTlYoj8VeeVigkFzjABRBh1nRbUTHnORdcPiRt/5HRyjegwgiQb0xY7RaFNnWUb5J7OEdSGvoxEbl1jS4GHtSBmsey4ojqUYHqHjMGPsCcbYrwT/rnDs838BFACU169NABFtJaL5RDR/xowZlTrsmCFqnlIuZUnFCprHIJ8Fjr4CXLkVmHoSAGb9vPwel7/fqf8P+D3u3OW0a38G/QHyEgB8ht9ZAeyUeF6mP4F1ifsABLswePVr2Iy5mR0pq1kJA/BqzTWy9ZGLYzTFXsGszH8aKQxgmf4EUshFzibSGdnXIc4ioJl1C6WSZS61p2svQLohhUVaJ75qbLW/g0atF/UYELqSOOLryEorSQizw7KoQde81b6sNOm1QLBCrWL4hM78iejioL8zxj4B4DIAF9FQxVgGwEmO3WaVtiFg+4SlYgHaEmVJxQY1v5AIzDln+2FkerK4eccBqcESZX8E+fIZA67V92Bt4Xp7BsubvDtnwznoWJW/MVS2uIsaXdlHadaNYkngLGh2XU7jl3L1gURaPVED1AQWKLDnXRU0kDWJOH/XdUgy94CdZAW0GdvQMSgOznaYLZhXfBnX6U84soPIWkk6s8QcirWpi27D2Y57zDmb/86XrsK1+h7oMF2rPpXRM7IMN9vngwBWA/hrIup3/KkDwP2Msa8BaAbwTgA/hzWReidj7FRYRv+jAKovjaLCBAVoy13Oxl4KTxUvxb2+/V37M2jrOChVBg0iyPB7DdNXja0wELxKcKpKdpgtWI12MOZ2v9SwIlYn2rHbnIPr2BPSVMU6NmDPhJ2GcF3iPizTn6hIMVYD+gBYg8toC8NpIHlfZUG21fFsHnt/fxRXSNxZ00LcXBdpB/zXmrdR5JMJiWKt8x7zXv8ETLvwbGv93wWeg2J4DNfn/3UANQAeZ9a39ywRfYqIDjLG2gH8GpY76O+IqAgAjLHPAHgMVqrnfUR0cJjnUPVURS9PQfMYr2//S7tewPee/UPF31o0w/fONkUUPV5JWeA3zbqxRH9KqmXDJY+/amx1pRsu0jqxRH+qYlW4x2gKOpMrAltR8rVx1Pc0YT0ooUiO5yzEcq6+3mBNuOvnrYA/mUZIuiGFC86YgSdfPGytNjVxgZfZ8xr+1PYXeBu6wQQ9Knbtz2DVA7+0ZcGv1fcIay6u1fdg6sKAngHD6IWhsBiW8Seivwj425cBfFmw/REAjwznfccbZQVoK41gKe58YHbtz2D7CBh+oLxsHSJge/FC1zZZoLEILVJA1evOKDeFVKQ7VCCGE9gAGlnwjDlDTZjJjgqlkkVFWw8Uz8dH9SddKwnRfllKCnX5eQ6/d/XVjG7cadyLXqoRdm47SvWYVmdg7eVuHR27uLC/UaodZEsvH3/NmnAA9n228bGXXP0gZD0DdGbKV7ai5AXP+yjCUfIOo0C19PLcVVyABYP34NSB7VgweA92FRfYf9v42Esut01Yn1UvQftHbejupJdqXLrzgDwVMU4Kp9OdUc6gNEg6vlu8GEfMejvQ3Eu1YAhfzRRIw4ZCq9Tg8X24zPUDxfOxtnA9VuVvdAVstxUv9gVw1xWWBUppiAa6OpZDnhk+mY4cdDRefTf23/YBn+Hv/M8t2NH/f5Bm3b40VqEYH3cFlfCudr2rO45VEjT0vs5kif5HbxMnLzjeRxGOkncYBaqhl2dY0Nn5UMq6cyVJw6M4z24KE7Y/d7HsNudgGYvuV++nJP5v4ZO+7TK5iLBgr4yw1M8iMWSRxBRYM+OjVI91BatV4loMdctab9wbSf75ONVZsQsSny8Brn65S/SnsM98lzBgu1b0Bp5rs9ucg9WJdmxmW6Tn1IA+X3rq6/NXu4KzgHX//OQH/4KvJP7V/p4ZhuoYuAy3+IMPJRt4V8HbixeKYy7zPmG/r/e+ra15Q+zmklasK0Qo4z9KjHWucljQ2flQymaJn2ffxw8G3u879i2GeP/ViXaggEh+da4Z79SZ70yu8GnDCOUiCuGa9JyjjkrdsI5iDMC7B/8t8LzjuI6msT7p+4pmzUEBWxHOa3OF1ok7I3RL41lQHbkWMADXnnsy7lh0lks7amrKQF+ugCd1f+Wuxob6M/yiZjmmiwLFqWn2f1ctPN3l8+eru2v1PdCZac34530CuOxrAMT3bRc1igftGOqzCmX8Jw1hQedVC0+3Z1gyd8hM8gf5dMak6o7N2pFA4+icNTqLiaL0Bfamjj5QPB8XaQdcs16vr3yQdKwrLLN/5ysJUStK67zC2xXGcR3x44lWMEHBbJl4moyUoaOt9kHU5YMNf5EZqNcGXcff/mwLHth7CIOFoevBM7+aE+Jz5N8/EYQz8sFCETWl//MJkDOjbFPyRky9/B7h5Eh03woHbUFhoiIYZfwnCWFBZ5drql/eZ9VLkSxRMdGSX5s6C7MkS3ECsDJ/k9CYyVYezr7A3sFhCXvK11zE2aREVq0aVAUbpV1h1Kph7/H4bJsPYrKFEWOWPQ0SRzM0hvraBHr687ZLcdoP/xR4PgSra1gD/RlgnuMXxANMUP9dAJgmCXYbuTftal0g3ipYdN92mC2YbiTRNuVBle0zDFTAd5KwauHpuDr5M1dQ9urkz1xBZ94jYNbVd0r7pYq4K9+KrD23K2Gk8Nw7PosuiGfPPcbb8Cg7T/g32SzYKT0cRTgsSC/Iu1+QsFwQGwqtUv0eqzfx0PH2veUSNKSGcit5MdgsTdyy0ovoM6YbUti45D1Ye/mZaG5Ioaski9yfmhl4rCI0wHTXcoSJr4X1Z/gTE1fid1Fj2dW6smSJOZcuB27+FdDWY/1Uhj82yvhPEhbrzwibqS/Wn/HvPLsVuPwe9KdOjGQMO8wWrMl90iUR8dxZ67DsubdjfU5sMDbTxzAlKV54yrKDXkew9DAfHIIyj66Q/M07UACIlO3UYbbgu8WLhV3HPp//lGvg4TNY7ttfm9gWuxjM6WL7+Lkn45k1Vjosl98gWEHRNcc/IpWy6KckNJKIswU0aAkaJFOGjtfeu0o6OJRb0yLrWqe0foaPcvtMFnbfjkRxwLUpURzw6/ZzZrfikkeakBmM9tDufcslwM132r+vXL8H2XwWHRBn6Dw0eA4A98yTu0B4GqG3Z+zX2TVYpHXCLDUS92KCYV3iPpeQmtOdAcAVBJW5UqLEHJysLVwfycUEWP5z/rmmh9QEiHC63h7cZymj/Md/vYaiRzxIJGXhbL6+JtmOZkRz7QFDrqWH+luwr+4SV8FXuuRqOnvuB9H2fBduyH3Pdx1E0sxRGetkiYmKMv6ThSBtHwlRZ2uimgXna0UZOlzUi8+GvQbXm0a4sdAKQgHrjXulHbUSzMR1iSd8y1nuztA0oA7hEghhMQcRsqY1ombkJsVvmQj4XW/ZfDGwIrvDbAEKcAXG7UEpFz3OEadp+pxLl+OCH7wP+aL7U/cOFFx+f8XYo4z/ZCGito8TWZC4IWVgSk0isGYhSNrZOVjwDCNZE/dDZhPOy90DguWGCUtdlPkxg9wZzewIPpJ4Bn+v7XBJS8c5hghu+L2ZSVzmOU5HsUyMbB9O6ApG0mJzSlJHf65YVj3K4rlpoTZU3qRhaVkpKo8y/pOFCNo+Xpzpn5yUoUeaBYpeC4hnkRsfewnNWYkfXztiz5yH09TldTSCTAglCfLJqdhoftvnFvMSJfXTCTf8XgMsE6ADxNINUYPPXsJWMKLVCgPw5Y8Mz6d+XCIKqFQ6qwsV8J0slIK4Qbr9XkRdu66aF93/WpMYur2m1RnYtHQODqx1SwbwDCOt4STRIaBNnWW7iKLKRIiCr3flW7HbnCPU1a9BPtTwR0399CJb0YggglC6oRzDD4QHxoXnAGDdQweH1XtCplml+u5WF8r4TyZmt8ZKj9u1P4MH92XsYCLv2hVmDHhJvnPpP5CX69ns2p9BW99VvkyRgl6Ltr6r7O5holRDrzHvpyS+KzGgF2kHxK6WfJ/wvHjv3+EY4TirlQw1YW3heis7plT4tTrRXlZ8AJAPlmErmGP9eVfm0K07X4g1AFSLlpUiGEZj0XU6JvPnz6e9e/eO9WlMfDwyuW19V+Hfe8/x7ZZuSNkphiIWrN8j9PeLXufUbhnyjR/B8eRb8eXBJfhBzi0n4dyHV/Lyyt7X0Yi78nK/+Cs110hn3SK4bIEIQwMKZni3rc7kCqGrSZTNtCZ/AwCxVMUx1KMtv2xYPn/n+8QdyMK+cy9OeYix0LJSWDDG9hHRfNHflM9fYSGQyV1NW3BUy/l7uIb4buP0L3Bqtzh90HqO+dIXvftwhCJnJZzZNrIK1UGjATUYdMVDsiFunoCFjAuRFAGXanbKUXy1aA1aoqA270fAg7UPUYu0LSQDcPfSObh15wvoyMuDunzfhM58mTki4vrrVXpm9aOMv8JC0ONXlt4Y5ruN0r8grEWkyPBHRWcMJpHvPGSGeAN9Am2LzrRXPW+gCV/JLynb1+4kKKvGOWhtWjoH9b8/iub9cjcR/z4eLZ4nNdjNDSmXfk5HVpyCmjJ03HnlWQDcarN9gwVhFzflr594KOOvsJDk+3uDg1F8t7IsIf46r0yvCJ2JZ/5RMInw6vpLAbhdUDJD/NDgOZhTnIONg/egayAbq3F6FGQ1AJxpdYZtsN840CQsvuKkWTee1D+LDeR3bxkac303TnE2YGgVlHa4Yby+/MvecyIe3JeRfndxUe6f6kUZf4WFpA5goG4m0qlUrIc3rH+BSKbXScrQcdW8tM8IiQqmRDhnqasWno5VP/ilPVOWGeKVOw5EOHI00gEzaO9nYAAunX2iPSBeUgyRmfaKsDkGgPraROA15oaf++5FWvkP7svgqnnpoXaNwzDYYT0kFGOLMv4KC0kdQN2Hbsczs6MH+jhBPt+unqyv8Im7Qpyz0vlvn+4aQC44Y4ZvQPDinaXyc1j30EEc64/XlF52jjKCDCs/t/eePBU/++1RewAgWDINDz//OrL5oi2HsTaxDdNZr7QQTOSS63F8vihxF1mPhydfPBwruCsjrIeEYmxRqZ4KizLqAJx4W+0FpQb+bf3PhSJzn6j/uW10Fqzfg5tLs/G7l87BM2suxB2Lz7JFvgC/dDwDpHUIdckEGKwisygZPzxTxnuOsrRLQ2foGyzYnx+AUJDsd0f8bqVsvugamDrMFszLbcXn8jfhkNkkDe56XXIE2Nc+Sq59nMB8OYz08RXDQ6V6KoaNbJYrU1/sv+sM1GVf929PnYgff2B3pGNFTSeNEl8QIUvRFKV/asyKUTgbk8s+/6lrHo4VU0g3pPA4u0l4vWSpqDK3mfec5t7+Y+FqKG5ap4w4Kb9xUbGEaASleqqZv2LYBC3vRdRl35Buj3qsqLPKsPiCDGl3MkEA/C21hsvwA/LPL5uRN6QMaWFU3Ydu9/VXIAApDAhXItx1EySFvGt/Br0D/obzhs4qVow1UsVefEAfTiGaQvn8FRUg9vI+QGSu64/RjhUlnTTwHAJIN6QwwGYKZ9uiAPjNkmCx872dqa2ioO9l7znRF+MYms2WXG+P3gJkj9qvadR6pVLTXT3ZwLjLxsde8g1YADAlmajYDDos8F8uKpZQGZTxVwybqIbYJkBkrvmRaMcKSycNOzcZtkvi+dsjB8BFKpbOc/a6nrwmlwd95799utwdMrvVqkMoGX9OYC2Gp2Lb2epQNijKRNnKZSSKvVQsoTIot89k4/l24O53A20N1s/n5W37ohJ7eR8QXI56rKgdnlYtPF0q0SzCNiAB5+gMbs9Z92P8eVDgPnHk3EdxPQW5yWxi1GJs+qv/sQav468BIOvnQyvs73s8i6+N53OvJtTMfzIhkHDAQyus/w+jB2pZy/vZrcL3jHOsKLPKxXPTsXL4XQZEcI7eWbxoxg+4c+6jzkhD95O4y5xCbTpjuPPKs3D2T77gq9hGPmt3bou6cqpGxvO5VxPK+E8mBBIOToMwHKpZyyUtcf14fe9RDEjUALIz5z6q60ljLLjblcBd5pSadmXz/DC4c9tI+eNHg/F87tWEMv6TiTJaOY42I1EVKpspllPJGnUW760yjpJuWiQK/qx8gC758ftTM7EhvxQPDZ7jKo4DEKlzWzUP2GGM53OvFpTxn0yU0cpxtBmJTI5KzhSjzOJlVcbeamVR4/XQz+pwRdUBaCv98xGjc5vKmZ+cKOM/mSijleNoM1KZHJWaKYpm8YbGUF+bQE9/Xmo8Re+/XdJ8vSJZK55Vgjfbh6P0dyYv/7+9+w2VrK7jOP7+pELBJlusYey9pA+CWNvEWjbBB9mubGsurhgESaH4wAcquLAiqwtpChpEGaFUqwhFCxJYWVHYCvZE2HJ3dZVVq0VNvRhdWUnRB7b47cGcS7Nzz5k5M+ec+Z2Z83nBhTtnhjnf++Pynd/8/nx/Tv5dUjIhpDT2stGG5fWK77lyY6PfImr7Wwsm1ft5zXx3Ofl3TYmEkFKbVnIU9YrvuXJjLeUP2vC3es18dzn5W6ukXsnR39P/UM6ZAnX2ilP/rdC+b1o2PU7+1jqD4+Mrm6qaTpCDPf2iw2Tq7BWnXrXShm8floaTfwfM8mqOaU5Ill3DX7lXPKTswrS14duHpeHkP+dmbTXH4AfVe++frDwhWfbDr0yPvnKvuKFd1lWk/vZhaTj5z7mi1Rzf+d2x1vX28j6oipQdehnnw69o/Lv/QPjK7dTgLmuzcdRS2E3SbkkhaV32WJJ+JOm4pGclfb7vtVdL+kf2c3Ud97diRUnyrff+O7Ie+jinc9VhnNr7ZYdexjlroKio3Pe/fj4vf/cyntyzpfoH5AzssrZuqJz8JS0C24D+HSuXAp/Ofq4Dfpy99uPA7cAXgc3A7ZI+VjUGK1Y2SQ4mxBQHZpTtzY8z9DLOUsbBSqHXrPkrh9fs4opHz6utAmrhbuo6dlk3ULHV5lcdPf97gVs4tUbWTuDn0XMQWCvpk8BXgAMRcSIi3gIOANtriMEK5PVmi5Q53Htk2eEKhp1yNap087jvWXT9igvW8+SeLbx81bvcoZ9mB7qsLok8sa3fXnUq1ym7rCdN4CtzCQUlnM0GVUr+knYCSxFxdOCp9UB/EZnXs2tF1/Pe+zpJhyQdWl5erhJmp+XVvV/7kTNyXzvNw73zFA273HH5eb2EPMHQy8RHCQ4bm69iyDkBlRJ4U/Ha3Bo54SvpceDsnKf2ArfRG/KpXUTsA/ZB7wD3Ju7RFXnr5ket7W5i88+oVTdNLDuc+D2bHJsv2mVdZTLYcwk2ppHJPyIuybsuaSNwLnBUEsACcETSZmAJWOx7+UJ2bQm4eOD6nyeI2yookxC//Jmz2H/w1bHr3Rcpu+qmiWWHE71nigqoVRL4DFRstXaZeKlnRDwHfGLlsaRXgE0R8aak3wI3SnqY3uTufyLiDUmPAXf3TfJuA26dOHrLVWZd+7CE+Junl3jk8NKqQ8a/9oXJE/PMFRBLUQG1SgKfgYqt1i5NneH7B+Al4DjwAHA9QEScAO4Cnsp+7syuWU3qWKWTl6gDeOLFyedeZq6A2LCx+aaMmgweJkW8NtNq2+QVEef0/R7ADQWvewh4qK772qnq6GE3kahnsoDYtCugVi253fKKrdYu3uE7Z+pI3E0kahcQK8kJ3KakqWEfS2Tcde15Jl4eOUTektNx1uubWb3c858zdfSwm6r06AJiZu3h5D9n6krcTtRm883Jfw45cZvZKB7zNzPrICd/M7MOcvI3M+sgJ38zsw5y8jcz6yD1KjG0m6Rl4J8N32Yd8GbD95h1bqNy3E6juY1Gq6ONPhURZ+U9MRPJfxokHYqITanjaDO3UTlup9HcRqM13UYe9jEz6yAnfzOzDnLy/799qQOYAW6jctxOo7mNRmu0jTzmb2bWQe75m5l1kJO/mVkHOfnnkLRbUkhalzqWtpH0PUkvSnpW0q8lrU0dU1tI2i7pb5KOS9qTOp62kbQo6QlJz0s6Jumm1DG1laTTJD0t6fdN3cPJf4CkRWAb8GrqWFrqAPDZiPgc8Hfg1sTxtIKk04D7gUuBDcA3JG1IG1XrnAR2R8QG4ELgBrdRoZuAF5q8gZP/avcCtwCeCc8REX+KiJPZw4PAQsp4WmQzcDwiXoqI94GHgZ2JY2qViHgjIo5kv79DL7n54IkBkhaAy4AHm7yPk38fSTuBpYg4mjqWGXEt8MfUQbTEeuC1vsev48RWSNI5wAXAX9JG0ko/pNcB/aDJm3TuJC9JjwNn5zy1F7iN3pBPpw1ro4h4NHvNXnpf4/dPMzabfZLWAI8AuyLi7dTxtImkHcC/I+KwpIubvFfnkn9EXJJ3XdJG4FzgqCToDWcckbQ5Iv41xRCTK2qjFZKuAXYAW8MbRVYsAYt9jxeya9ZH0hn0Ev/+iPhV6nha6CLgcklfBT4MnCnpFxHxzbpv5E1eBSS9AmyKCFce7CNpO/AD4EsRsZw6nraQdDq9CfCt9JL+U8BVEXEsaWAtol6v6mfAiYjYlTqetst6/jdHxI4m3t9j/jau+4CPAgckPSPpJ6kDaoNsEvxG4DF6E5m/dOJf5SLgW8CW7H/nmayHawm4529m1kHu+ZuZdZCTv5lZBzn5m5l1kJO/mVkHOfmbmXWQk7+ZWQc5+ZuZddD/AEzwMhJ9z1sMAAAAAElFTkSuQmCC\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "5VFsgVvT4I7C" - } - }, - { - "cell_type": "code", - "source": [ - "pip install -q seaborn" - ], - "metadata": { - "id": "-GRnJ1Ur4QUy" - }, - "execution_count": 5, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "import seaborn as sns" - ], - "metadata": { - "id": "nj69E-AI4UCb" - }, - "execution_count": 6, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers\n", - "\n", - "print(tf.__version__)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "HDqkOcSr4ZVo", - "outputId": "9dd98899-782f-44c1-92db-5eb277ede14d" - }, - "execution_count": 7, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "2.8.2\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense" - ], - "metadata": { - "id": "iMIJa4ib-6pM" - }, - "execution_count": 8, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model = Sequential([\n", - " Dense(5, activation='relu', input_shape=(5,)),\n", - " Dense(5, activation='relu'),\n", - " Dense(1)\n", - "])\n", - "\n", - "model.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "iSIXc09T_-A-", - "outputId": "982c9856-79e3-4e46-efe6-80f4d2caf69a" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense (Dense) (None, 5) 30 \n", - " \n", - " dense_1 (Dense) (None, 5) 30 \n", - " \n", - " dense_2 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 66\n", - "Trainable params: 66\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "model.compile(loss='mean_squared_error',optimizer = tf.keras.optimizers.SGD(0.001))\n", - "\n", - "history =model.fit(X_train,y_train,epochs=50,validation_split = 0.2,verbose=2)\n", - "\n", - "predictions = model.predict(X_test)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "3qBi6YCUADuv", - "outputId": "4aed502c-0bad-497e-8d32-4745d481514d" - }, - "execution_count": 10, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/50\n", - "200/200 - 1s - loss: 1443.8135 - val_loss: 85.2041 - 954ms/epoch - 5ms/step\n", - "Epoch 2/50\n", - "200/200 - 0s - loss: 202.4496 - val_loss: 35.1886 - 296ms/epoch - 1ms/step\n", - "Epoch 3/50\n", - "200/200 - 0s - loss: 374.6703 - val_loss: 27.3928 - 305ms/epoch - 2ms/step\n", - "Epoch 4/50\n", - "200/200 - 0s - loss: 257.8798 - val_loss: 1060.9968 - 303ms/epoch - 2ms/step\n", - "Epoch 5/50\n", - "200/200 - 0s - loss: 215.8679 - val_loss: 43.0550 - 345ms/epoch - 2ms/step\n", - "Epoch 6/50\n", - "200/200 - 0s - loss: 155.6281 - val_loss: 2340.4211 - 358ms/epoch - 2ms/step\n", - "Epoch 7/50\n", - "200/200 - 0s - loss: 493.7722 - val_loss: 39.3092 - 303ms/epoch - 2ms/step\n", - "Epoch 8/50\n", - "200/200 - 0s - loss: 204.6093 - val_loss: 604.6605 - 291ms/epoch - 1ms/step\n", - "Epoch 9/50\n", - "200/200 - 0s - loss: 223.8487 - val_loss: 6931.1704 - 291ms/epoch - 1ms/step\n", - "Epoch 10/50\n", - "200/200 - 0s - loss: 400.9542 - val_loss: 54.8084 - 294ms/epoch - 1ms/step\n", - "Epoch 11/50\n", - "200/200 - 0s - loss: 149.7206 - val_loss: 1626.0511 - 287ms/epoch - 1ms/step\n", - "Epoch 12/50\n", - "200/200 - 0s - loss: 176.3626 - val_loss: 35.9280 - 291ms/epoch - 1ms/step\n", - "Epoch 13/50\n", - "200/200 - 0s - loss: 97.2251 - val_loss: 141.2476 - 279ms/epoch - 1ms/step\n", - "Epoch 14/50\n", - "200/200 - 0s - loss: 211.1541 - val_loss: 103.0196 - 291ms/epoch - 1ms/step\n", - "Epoch 15/50\n", - "200/200 - 0s - loss: 151.5587 - val_loss: 1055.7356 - 295ms/epoch - 1ms/step\n", - "Epoch 16/50\n", - "200/200 - 0s - loss: 138.4700 - val_loss: 32.2279 - 293ms/epoch - 1ms/step\n", - "Epoch 17/50\n", - "200/200 - 0s - loss: 191.0318 - val_loss: 42.2623 - 303ms/epoch - 2ms/step\n", - "Epoch 18/50\n", - "200/200 - 0s - loss: 82.8336 - val_loss: 591.3304 - 309ms/epoch - 2ms/step\n", - "Epoch 19/50\n", - "200/200 - 0s - loss: 403.5126 - val_loss: 41.7190 - 279ms/epoch - 1ms/step\n", - "Epoch 20/50\n", - "200/200 - 0s - loss: 279.6446 - val_loss: 192.6360 - 275ms/epoch - 1ms/step\n", - "Epoch 21/50\n", - "200/200 - 0s - loss: 224.2892 - val_loss: 42.7982 - 433ms/epoch - 2ms/step\n", - "Epoch 22/50\n", - "200/200 - 0s - loss: 255.7393 - val_loss: 37.3246 - 285ms/epoch - 1ms/step\n", - "Epoch 23/50\n", - "200/200 - 0s - loss: 93.2885 - val_loss: 37.3032 - 297ms/epoch - 1ms/step\n", - "Epoch 24/50\n", - "200/200 - 0s - loss: 130.2426 - val_loss: 44.1199 - 291ms/epoch - 1ms/step\n", - "Epoch 25/50\n", - "200/200 - 0s - loss: 158.0578 - val_loss: 150.3248 - 271ms/epoch - 1ms/step\n", - "Epoch 26/50\n", - "200/200 - 0s - loss: 179.2610 - val_loss: 57.4298 - 293ms/epoch - 1ms/step\n", - "Epoch 27/50\n", - "200/200 - 0s - loss: 591.0132 - val_loss: 73.4269 - 283ms/epoch - 1ms/step\n", - "Epoch 28/50\n", - "200/200 - 0s - loss: 137.8900 - val_loss: 321.0694 - 290ms/epoch - 1ms/step\n", - "Epoch 29/50\n", - "200/200 - 0s - loss: 201.1038 - val_loss: 162.4504 - 285ms/epoch - 1ms/step\n", - "Epoch 30/50\n", - "200/200 - 0s - loss: 124.7737 - val_loss: 150.9487 - 284ms/epoch - 1ms/step\n", - "Epoch 31/50\n", - "200/200 - 0s - loss: 71.8767 - val_loss: 35.6873 - 308ms/epoch - 2ms/step\n", - "Epoch 32/50\n", - "200/200 - 0s - loss: 73.1300 - val_loss: 33.6683 - 292ms/epoch - 1ms/step\n", - "Epoch 33/50\n", - "200/200 - 1s - loss: 170.4030 - val_loss: 36.2613 - 524ms/epoch - 3ms/step\n", - "Epoch 34/50\n", - "200/200 - 1s - loss: 235.3243 - val_loss: 37.2421 - 512ms/epoch - 3ms/step\n", - "Epoch 35/50\n", - "200/200 - 1s - loss: 164.8181 - val_loss: 35.4976 - 578ms/epoch - 3ms/step\n", - "Epoch 36/50\n", - "200/200 - 0s - loss: 174.0520 - val_loss: 39.9677 - 480ms/epoch - 2ms/step\n", - "Epoch 37/50\n", - "200/200 - 1s - loss: 245.2375 - val_loss: 30.2959 - 675ms/epoch - 3ms/step\n", - "Epoch 38/50\n", - "200/200 - 1s - loss: 145.2404 - val_loss: 5559.1079 - 507ms/epoch - 3ms/step\n", - "Epoch 39/50\n", - "200/200 - 1s - loss: 167.8657 - val_loss: 41.1402 - 597ms/epoch - 3ms/step\n", - "Epoch 40/50\n", - "200/200 - 1s - loss: 127.4829 - val_loss: 47.3273 - 574ms/epoch - 3ms/step\n", - "Epoch 41/50\n", - "200/200 - 1s - loss: 194.4204 - val_loss: 59.4979 - 537ms/epoch - 3ms/step\n", - "Epoch 42/50\n", - "200/200 - 1s - loss: 121.9944 - val_loss: 109.5353 - 662ms/epoch - 3ms/step\n", - "Epoch 43/50\n", - "200/200 - 1s - loss: 153.7379 - val_loss: 29.6349 - 804ms/epoch - 4ms/step\n", - "Epoch 44/50\n", - "200/200 - 1s - loss: 151.3161 - val_loss: 30.3458 - 730ms/epoch - 4ms/step\n", - "Epoch 45/50\n", - "200/200 - 1s - loss: 198.2115 - val_loss: 1032.0674 - 688ms/epoch - 3ms/step\n", - "Epoch 46/50\n", - "200/200 - 1s - loss: 172.9248 - val_loss: 88.1014 - 512ms/epoch - 3ms/step\n", - "Epoch 47/50\n", - "200/200 - 1s - loss: 185.7272 - val_loss: 76.0943 - 623ms/epoch - 3ms/step\n", - "Epoch 48/50\n", - "200/200 - 1s - loss: 99.2914 - val_loss: 53.6501 - 513ms/epoch - 3ms/step\n", - "Epoch 49/50\n", - "200/200 - 1s - loss: 203.2221 - val_loss: 683.6449 - 823ms/epoch - 4ms/step\n", - "Epoch 50/50\n", - "200/200 - 1s - loss: 231.6477 - val_loss: 36.6525 - 701ms/epoch - 4ms/step\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "9xhtaa-vAStS" - } - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label='val_loss')" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "id": "Rz9lOaJoAP99", - "outputId": "b554d0a0-2c15-4743-e119-818a62dc6e5a" - }, - "execution_count": 11, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "[]" - ] - }, - "metadata": {}, - "execution_count": 11 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "7WLi9A79Abe1" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn.metrics import r2_score" - ], - "metadata": { - "id": "_kf9AtV4Hdqc" - }, - "execution_count": 22, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "#def r2_score(y_true, y_pred):\n", - " # y_mean = y_true.mean()\n", - " # return 1-(((y_true - y_pred)**2).mean())/(((y_true - y_mean)**2).mean())\n", - "\n", - "accuracy = r2_score(y_test, predictions.flatten()) \n", - "print(\"Accuracy:\", accuracy)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "-yHv1BtfAcG5", - "outputId": "9cfdd0a6-5b3e-445a-ab09-2c374d15eb27" - }, - "execution_count": 24, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9975095333953556\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "Gi31uHTCBMyh" - } - }, - { - "cell_type": "code", - "source": [ - "#Input of shape 5 with Dense layer of shape - 10,15,1\n", - "\n", - "custom_model = Sequential([\n", - " Dense(10, activation='tanh', input_shape=(5,)),\n", - " Dense(15, activation='tanh'),\n", - " Dense(1)\n", - "])\n", - "custom_model.compile(\n", - " optimizer=tf.optimizers.Adam(learning_rate=0.005),\n", - " loss='mean_absolute_error')\n", - "\n", - "custom_history = custom_model.fit(\n", - " X_train,y_train,\n", - " validation_split=0.2,\n", - " verbose=2, epochs=50)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "okABegICAe29", - "outputId": "d5e53d70-fa25-4043-f1b7-f847bf451e7a" - }, - "execution_count": 17, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/50\n", - "200/200 - 1s - loss: 83.1881 - val_loss: 75.3355 - 801ms/epoch - 4ms/step\n", - "Epoch 2/50\n", - "200/200 - 0s - loss: 67.5815 - val_loss: 64.4397 - 336ms/epoch - 2ms/step\n", - "Epoch 3/50\n", - "200/200 - 0s - loss: 58.0446 - val_loss: 55.7950 - 346ms/epoch - 2ms/step\n", - "Epoch 4/50\n", - "200/200 - 0s - loss: 49.7668 - val_loss: 47.5652 - 327ms/epoch - 2ms/step\n", - "Epoch 5/50\n", - "200/200 - 0s - loss: 42.3113 - val_loss: 41.0114 - 338ms/epoch - 2ms/step\n", - "Epoch 6/50\n", - "200/200 - 0s - loss: 36.4329 - val_loss: 35.6091 - 327ms/epoch - 2ms/step\n", - "Epoch 7/50\n", - "200/200 - 0s - loss: 31.5851 - val_loss: 31.3024 - 321ms/epoch - 2ms/step\n", - "Epoch 8/50\n", - "200/200 - 1s - loss: 27.5252 - val_loss: 27.3859 - 566ms/epoch - 3ms/step\n", - "Epoch 9/50\n", - "200/200 - 1s - loss: 24.2136 - val_loss: 24.1137 - 585ms/epoch - 3ms/step\n", - "Epoch 10/50\n", - "200/200 - 1s - loss: 21.3590 - val_loss: 21.5323 - 675ms/epoch - 3ms/step\n", - "Epoch 11/50\n", - "200/200 - 1s - loss: 19.0956 - val_loss: 19.1568 - 622ms/epoch - 3ms/step\n", - "Epoch 12/50\n", - "200/200 - 1s - loss: 17.2025 - val_loss: 17.3179 - 544ms/epoch - 3ms/step\n", - "Epoch 13/50\n", - "200/200 - 1s - loss: 15.5642 - val_loss: 15.8324 - 635ms/epoch - 3ms/step\n", - "Epoch 14/50\n", - "200/200 - 1s - loss: 14.2144 - val_loss: 14.3193 - 640ms/epoch - 3ms/step\n", - "Epoch 15/50\n", - "200/200 - 1s - loss: 13.1035 - val_loss: 13.3732 - 591ms/epoch - 3ms/step\n", - "Epoch 16/50\n", - "200/200 - 1s - loss: 12.0607 - val_loss: 12.1310 - 576ms/epoch - 3ms/step\n", - "Epoch 17/50\n", - "200/200 - 1s - loss: 11.2323 - val_loss: 11.7262 - 583ms/epoch - 3ms/step\n", - "Epoch 18/50\n", - "200/200 - 1s - loss: 10.5754 - val_loss: 10.8151 - 858ms/epoch - 4ms/step\n", - "Epoch 19/50\n", - "200/200 - 1s - loss: 9.9165 - val_loss: 9.9112 - 606ms/epoch - 3ms/step\n", - "Epoch 20/50\n", - "200/200 - 1s - loss: 9.3606 - val_loss: 9.4010 - 734ms/epoch - 4ms/step\n", - "Epoch 21/50\n", - "200/200 - 1s - loss: 8.8394 - val_loss: 8.9467 - 715ms/epoch - 4ms/step\n", - "Epoch 22/50\n", - "200/200 - 1s - loss: 8.3893 - val_loss: 8.5316 - 642ms/epoch - 3ms/step\n", - "Epoch 23/50\n", - "200/200 - 1s - loss: 8.0022 - val_loss: 8.3017 - 572ms/epoch - 3ms/step\n", - "Epoch 24/50\n", - "200/200 - 1s - loss: 7.6975 - val_loss: 7.6145 - 756ms/epoch - 4ms/step\n", - "Epoch 25/50\n", - "200/200 - 1s - loss: 7.3892 - val_loss: 7.5305 - 663ms/epoch - 3ms/step\n", - "Epoch 26/50\n", - "200/200 - 1s - loss: 7.1198 - val_loss: 7.1436 - 667ms/epoch - 3ms/step\n", - "Epoch 27/50\n", - "200/200 - 1s - loss: 6.8647 - val_loss: 6.8188 - 544ms/epoch - 3ms/step\n", - "Epoch 28/50\n", - "200/200 - 1s - loss: 6.6922 - val_loss: 6.9460 - 678ms/epoch - 3ms/step\n", - "Epoch 29/50\n", - "200/200 - 1s - loss: 6.5085 - val_loss: 6.5044 - 944ms/epoch - 5ms/step\n", - "Epoch 30/50\n", - "200/200 - 1s - loss: 6.3596 - val_loss: 6.2635 - 951ms/epoch - 5ms/step\n", - "Epoch 31/50\n", - "200/200 - 1s - loss: 6.1995 - val_loss: 6.3004 - 849ms/epoch - 4ms/step\n", - "Epoch 32/50\n", - "200/200 - 1s - loss: 6.0928 - val_loss: 5.9715 - 554ms/epoch - 3ms/step\n", - "Epoch 33/50\n", - "200/200 - 1s - loss: 5.9572 - val_loss: 5.7980 - 533ms/epoch - 3ms/step\n", - "Epoch 34/50\n", - "200/200 - 1s - loss: 5.8638 - val_loss: 5.8946 - 610ms/epoch - 3ms/step\n", - "Epoch 35/50\n", - "200/200 - 0s - loss: 5.8814 - val_loss: 5.5823 - 430ms/epoch - 2ms/step\n", - "Epoch 36/50\n", - "200/200 - 0s - loss: 5.7603 - val_loss: 5.6098 - 337ms/epoch - 2ms/step\n", - "Epoch 37/50\n", - "200/200 - 0s - loss: 5.6455 - val_loss: 5.6266 - 318ms/epoch - 2ms/step\n", - "Epoch 38/50\n", - "200/200 - 0s - loss: 5.5857 - val_loss: 5.4960 - 307ms/epoch - 2ms/step\n", - "Epoch 39/50\n", - "200/200 - 0s - loss: 5.4749 - val_loss: 5.4850 - 346ms/epoch - 2ms/step\n", - "Epoch 40/50\n", - "200/200 - 0s - loss: 5.4570 - val_loss: 5.4164 - 340ms/epoch - 2ms/step\n", - "Epoch 41/50\n", - "200/200 - 0s - loss: 5.3695 - val_loss: 5.2756 - 330ms/epoch - 2ms/step\n", - "Epoch 42/50\n", - "200/200 - 0s - loss: 5.3779 - val_loss: 5.2855 - 347ms/epoch - 2ms/step\n", - "Epoch 43/50\n", - "200/200 - 0s - loss: 5.3559 - val_loss: 5.1578 - 323ms/epoch - 2ms/step\n", - "Epoch 44/50\n", - "200/200 - 0s - loss: 5.2771 - val_loss: 5.2237 - 332ms/epoch - 2ms/step\n", - "Epoch 45/50\n", - "200/200 - 0s - loss: 5.2140 - val_loss: 5.3150 - 340ms/epoch - 2ms/step\n", - "Epoch 46/50\n", - "200/200 - 0s - loss: 5.2475 - val_loss: 5.3007 - 350ms/epoch - 2ms/step\n", - "Epoch 47/50\n", - "200/200 - 0s - loss: 5.1531 - val_loss: 5.0510 - 315ms/epoch - 2ms/step\n", - "Epoch 48/50\n", - "200/200 - 0s - loss: 5.1271 - val_loss: 4.9404 - 413ms/epoch - 2ms/step\n", - "Epoch 49/50\n", - "200/200 - 0s - loss: 5.0716 - val_loss: 5.2255 - 329ms/epoch - 2ms/step\n", - "Epoch 50/50\n", - "200/200 - 0s - loss: 5.0754 - val_loss: 5.1306 - 339ms/epoch - 2ms/step\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(custom_history.history['loss'], label='loss')\n", - "plt.plot(custom_history.history['val_loss'], label='val_loss')" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "id": "bKCNSkrABYEm", - "outputId": "cf6c4b53-859d-42ab-afcf-77094c0bd121" - }, - "execution_count": 18, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "[]" - ] - }, - "metadata": {}, - "execution_count": 18 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "custom_predictions = custom_model.predict(X_test)" - ], - "metadata": { - "id": "uK-nL7-lUwWF" - }, - "execution_count": 19, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "plt.scatter(y_test,custom_predictions)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "id": "JRy4B3cXUdVY", - "outputId": "1b176205-adef-40aa-f9b1-532e928fd566" - }, - "execution_count": 20, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 20 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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9QjN9JPVUApKWkS8UuWvHgVjHUM1f5LRYVwBmdp2ZHTSzU2bWPeq19WY2YGb9Zrayon1V1DZgZuvifL+kR3knrzhLOqvzFxkpbgnoRWA18OPKRjNbAtwALAVWAX9pZhkzywDfAi4HlgA3Ru8VmdA9Tx6MvZOXOn+RkWKVgNz9ZQAzG/3S1cCj7v4e8LqZDQAXRa8NuPtr0ecejd77Upw4pD2FmuoJpbN/ERmpXoPAXcChiueHo7bx2j/EzNaY2V4z23vs2LE6hSlJVZ7qGarz19m/yIdNegVgZj8EPjbGSxvc/YnwIZW4+4PAgwDd3d0xL/6l1WzaeTD2VM8ydf4iY5s0Abj7p2o4bhGYX/F8XtTGBO0ibMz3xV7Ns1JXZy7YsUTaTb1KQDuBG8zsDDM7B1gEPA/8BFhkZueY2XRKA8U76xSDtJjQnX8um9HNXiITiDUIbGbXAv8NmAN838z2uftKdz9oZtsoDe6eBG519+HoM7cBvUAGeNjdD8b6L5C2sSXwmb+WdRaZWNxZQI8Dj4/z2r3AvWO0PwU8Fed7pT3FHejJmPH163WHr8hUaSkISYSN+b7Yx1DnL1IdJQBpuhC1/1y2Q52/SJW0FpA0zcZ8H488d4hhjz/L91/ibAUmklJKANIUoWf8zNV0T5GqqQQkDZcvFDXdUyQBlACkocpLPMSx4tzZdHXmMErTPTevXqb6v0gNVAKShrpj6z7iVOu1ro9IOEoAUnehVvV84PPn60xfJCAlAKmrUBu4q/MXCU9jAFJXITZwv3n5AnX+InWgBCB1dSRm2WfFubNV8xepEyUAqZt8oRhrfZ+bly9gy5c/GSweERlJYwBSF/lCkdu37qv58z+978qA0YjIWHQFIHWxfseBmj87c3omYCQiMh5dAUgwG/N9bNnzZuxlnU+8H2YrSBGZmBKAxJYvFLlrxwFOBFqQTev6iDSGEoDEcnqef5jOX+v6iDSOEoDEEmKevxm4axtHkUZTApBY4i7vsOLc2ZrqKdIkmgUkNckXivzuf/n7WMeYOT2jzl+kiXQFIFXLF4qxV/UEuPda3eEr0kxKAFKVuDd4lXXmsqr1izSZEoBMSb5Q5J4nD/LuiaHYx8pmjE1XLQ0QlYjEoQQgkwp1gxfArBlZ7v7cUp39iySAEoBMKMT+vZreKZJMSgAyoXuePFjT57R1o0jyaRqoTKiWmn9nLqvOX6QF6ApARijv33vk+CC5bPXnB9kODfCKtIpYVwBm1mNm/2hmB8zscTPrrHhtvZkNmFm/ma2saF8VtQ2Y2bo43y9hldf1KR4fxKHqxd26OnP0XPcJ1fpFWkTcEtAu4F+5+3nAPwHrAcxsCXADsBRYBfylmWXMLAN8C7gcWALcGL1XmixfKPKft+6Lta7P7nWXqvMXaSGxEoC7/8DdT0ZP9wDzosdXA4+6+3vu/jowAFwU/Qy4+2vu/j7waPReaaJ8ocja7ftjTfPszGWDxSMijRFyDOCLwNbocRelhFB2OGoDODSq/eKxDmZma4A1AAsWLAgYppSV6/1xF3QDVPcXaUGTJgAz+yHwsTFe2uDuT0Tv2QCcBLaECszdHwQeBOju7g5xD5JUOL2Of/zdt25evkClH5EWNGkCcPdPTfS6mf0h8FngMncvd9RFYH7F2+ZFbUzQLg0UYh1/0JRPkVYWdxbQKuBPgKvc/UTFSzuBG8zsDDM7B1gEPA/8BFhkZueY2XRKA8U748QgtQlR9sllMyr9iLSwuGMA/x04A9hlZgB73P3fu/tBM9sGvESpNHSruw8DmNltQC+QAR5299puNZWqhaz5a3kHkdZnp6s2ydXd3e179+5tdhgtLVTNP5fNsHn1MnX8Ii3AzF5w9+7xXtedwCkRouavs36R9qIEkBJxyj4zsh289GeXB4xGRJJAi8GlRKY0RlO1XDbDV1efFzgaEUkCXQGkxHANYz0q+Yi0NyWAFMgXqr/VIpftYPe6S+sQjYgkhRJAm4o75XOzyj4ibU8JoA1tzPfF2sZRSzuIpIMGgdtM3D18tZWjSHroCqCN5AtF7ty2v6bPduaybLpqqc78RVJECaBNbMz3sWXPmzWt6Z8xY9/dnwkek4gkm0pAbSBfKNbc+QPcePH8yd8kIm1HVwAtLO5Mn4wZN148XzV/kZRSAmhRcRZ3W3HubLZ8+ZN1iEpEWokSQIuqZXG3GdkOvrr6PA30igigBNCS8oViVWUfLekgImNRAmgBpXLPAQaHTtX0eS3pICJjUQJIkMpB3YwZw+4Y1Dy7B0pn/yIiY2nrBFDZoZpBeUHM8k1PUKqlHzk+yNwYZZJ8ocimnQc5PjgEwMzpGbKZDn4+OPTBcYER7+kwOOWnyzN733hnxFTO8uqdcTr/XDbzwXeLiIzWtltCTjZLpgPIZIyh4dP//bVsd5gvFFm7fT9Dp8b//5jtKJ3Nj/eW7Kg4QlDdX0RSuyXkZLNkTgGnRnW6g0PD9PT2V9Vp9vT2T9j5A5O/XofOX3V/EZlM294JfKTGm6Oq/Vyt31MvKvuIyFS1bQKYW+PgZ7Wfq/V7QpmR7WDWjCxG6cy/2hKWiKRX25aA1q5cXNMYQLVnz2tXLg4yBoCPXSoqDxaDVuwUkbDaNgGUO8l6zwIqvz/uLKAQsYiIVKNtZwGJiKTdZLOA2nYMQEREJqYEICKSUkoAIiIppQQgIpJSSgAiIinVErOAzOwY8EbAQ54J/HPA44WS1LggubEpruolNTbFVb3JYvttd58z3ostkQBCM7O9E02NapakxgXJjU1xVS+psSmu6sWNTSUgEZGUUgIQEUmptCaAB5sdwDiSGhckNzbFVb2kxqa4qhcrtlSOAYiISHqvAEREUk8JQEQkpVKRAMzsTjNzMzszem5m9k0zGzCzA2Z2YcV7bzGzV6KfW+oY059F373PzH5gZnOTEJuZ9ZjZP0bf/biZdVa8tj6Kq9/MVla0r4raBsxsXZ3ius7MDprZKTPrHvVa0+IaJ9amfG/03Q+b2VEze7GibbaZ7Yp+b3aZ2ayofdzftTrENd/MfmRmL0V/j3+coNg+YmbPm9n+KLZ7ovZzzOy5KIatZjY9aj8jej4Qvb6wXrFF35cxs4KZ/V3wuNy9rX+A+UAvpRvJzozargD+HjBgOfBc1D4beC36c1b0eFad4vr1isf/Cfh2EmIDPgNMix5/Dfha9HgJsB84AzgHeBXIRD+vAh8HpkfvWVKHuH4XWAw8A3RXtDc1rjHibMr3Vnz/vwEuBF6saPsLYF30eF3F3+mYv2t1iuts4MLo8a8B/xT93SUhNgM+Gj3OAs9F37kNuCFq/zbwH6LHf1Tx7/UGYGud/07vAP4n8HfR82BxpeEK4BvAnwCVo91XA9/1kj1Ap5mdDawEdrn7O+7+LrALWFWPoNz9FxVPZ1bE19TY3P0H7n4yeroHmFcR16Pu/p67vw4MABdFPwPu/pq7vw88Gr03dFwvu3v/GC81Na4xNOt7AXD3HwPvjGq+GvhO9Pg7wDUV7WP9rtUjrrfc/R+ix78EXga6EhKbu/v/i55mox8HLgUeGye2csyPAZeZmdUjNjObB1wJ/I/ouYWMq60TgJldDRTdff+ol7qAQxXPD0dt47XXK757zewQcBPwlSTFFvkipbOwpMVVKWlxNfv/x1jOcve3osc/A86KHjcl1qg0cQGlM+1ExBaVWfYBRymdXL0KHK84Gar8/g9ii17/OfCbdQrtAUonsKei578ZMq6W3xLSzH4IfGyMlzYAd1EqaTTFRLG5+xPuvgHYYGbrgduAu5MQV/SeDcBJYEsjYppqXBKPu7uZNW3ut5l9FPgecLu7/6LyBLWZsbn7MHB+NOb1OPA7zYijkpl9Fjjq7i+Y2SX1+I6WTwDu/qmx2s1sGaWa8P7ol2we8A9mdhFQpDQ2UDYvaisCl4xqfyZ0bGPYAjxFKQHUPbbJ4jKzPwQ+C1zmUUFxgriYoD1oXOOoe1wB42mWt83sbHd/KyqjHI3aGxqrmWUpdf5b3H1HkmIrc/fjZvYj4JOUyk7TorPpyu8vx3bYzKYBvwH83zqEswK4ysyuAD4C/DrwX4PGVc/BiyT9AD/l9CDwlYwcYHo+ap8NvE5pkHVW9Hh2neJZVPH4PwKPJSE2SuMKLwFzRrUvZeRg62uUBjynRY/P4fSg59I6/j0+w8hB4ETEVRFPU753VAwLGTkI3MPIgda/mOh3rU4xGfBd4IFR7UmIbQ7QGT3OAf+L0gnQdkYOtv5R9PhWRg62bmvA3+klnB4EDhZXw34pm/3DyARgwLco1fn6RnUoX6Q0kDgAfKGO8XwPeBE4ADwJdCUhtujYh4B90c+3K17bEMXVD1xe0X4FpVkdr1Iq19Qjrmsp1TvfA94GepMQ1zixNuV7o+9+BHgLGIr+f32JUh34aeAV4IdEJw4T/a7VIa5/TWlg9UDF79YVCYntPKAQxfYi8JWo/ePA89G/ie3AGVH7R6LnA9HrH2/A3+slnE4AweLSUhAiIinV1rOARERkfEoAIiIppQQgIpJSSgAiIimlBCAiklJKACIiKaUEICKSUv8f3U9FkgTB0agAAAAASUVORK5CYII=\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "r2_score(y_test,custom_predictions)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "KRBsR77aBdFg", - "outputId": "d1bbaa71-9d92-4a0b-b45d-bdb2d8dbf219" - }, - "execution_count": 25, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "0.9930955005135249" - ] - }, - "metadata": {}, - "execution_count": 25 - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_201043.ipynb b/Assignment 2/A2_201043.ipynb deleted file mode 100644 index cabc388..0000000 --- a/Assignment 2/A2_201043.ipynb +++ /dev/null @@ -1,1267 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "UxcaEbrCy1g_" - }, - "source": [ - "# Assigment 2: Deep Learning" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "h2JON-_Oy79w" - }, - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=69)\n", - "X_train,X_val,y_train,y_val=train_test_split(X_train,y_train,test_size=0.2, random_state=69)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r6it-Rm7zD1Y" - }, - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "id": "UautPVj1yzaQ", - "outputId": "3e0edf82-f02e-46bd-b94f-dd6e3a855f61" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 55 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "import numpy as np\n", - "\n", - "plt.scatter(X_train[:,1],y_train)\n", - "\n", - "# Your code here" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "XMXb9lTyzGHE" - }, - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "id": "r32N1xK2ziOs" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "\n", - "from tensorflow import keras\n", - "\n", - "model=keras.Sequential([\n", - " tf.keras.layers.Dense(units=5, activation=\"relu\", input_shape=[5]),\n", - " tf.keras.layers.Dense(units=5, activation=\"relu\"),\n", - " tf.keras.layers.Dense(units=1)\n", - "\n", - "])\n", - "optimizer=tf.keras.optimizers.SGD(learning_rate=0.001,decay=0.00001)\n", - "model.compile(optimizer=optimizer, loss='mse', metrics='mse')" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "ScD9PGiNRd09", - "outputId": "e7f882e0-9b04-4642-ae4b-70d24f295acd" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 1676.2841 - mse: 1676.2841 - val_loss: 31.3073 - val_mse: 31.3073\n", - "Epoch 2/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 300.1492 - mse: 300.1492 - val_loss: 41.0943 - val_mse: 41.0943\n", - "Epoch 3/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 168.5267 - mse: 168.5267 - val_loss: 43.0184 - val_mse: 43.0184\n", - "Epoch 4/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 210.8442 - mse: 210.8442 - val_loss: 51.8537 - val_mse: 51.8537\n", - "Epoch 5/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 182.4361 - mse: 182.4361 - val_loss: 209.0396 - val_mse: 209.0396\n", - "Epoch 6/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 172.0809 - mse: 172.0809 - val_loss: 185.9463 - val_mse: 185.9463\n", - "Epoch 7/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 223.5035 - mse: 223.5035 - val_loss: 183.4053 - val_mse: 183.4053\n", - "Epoch 8/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 115.7981 - mse: 115.7981 - val_loss: 959.5168 - val_mse: 959.5168\n", - "Epoch 9/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 147.0970 - mse: 147.0970 - val_loss: 31.4911 - val_mse: 31.4911\n", - "Epoch 10/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 129.0366 - mse: 129.0366 - val_loss: 1249.3760 - val_mse: 1249.3760\n", - "Epoch 11/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 213.1548 - mse: 213.1548 - val_loss: 64.4150 - val_mse: 64.4150\n", - "Epoch 12/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 143.0823 - mse: 143.0823 - val_loss: 130.4944 - val_mse: 130.4944\n", - "Epoch 13/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 93.2174 - mse: 93.2174 - val_loss: 29.9675 - val_mse: 29.9675\n", - "Epoch 14/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 134.7364 - mse: 134.7364 - val_loss: 368.7948 - val_mse: 368.7948\n", - "Epoch 15/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 190.2595 - mse: 190.2595 - val_loss: 29.0759 - val_mse: 29.0759\n", - "Epoch 16/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 118.1331 - mse: 118.1331 - val_loss: 358.3374 - val_mse: 358.3374\n", - "Epoch 17/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 102.5836 - mse: 102.5836 - val_loss: 267.1630 - val_mse: 267.1630\n", - "Epoch 18/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 145.7979 - mse: 145.7979 - val_loss: 203.2365 - val_mse: 203.2365\n", - "Epoch 19/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 144.3499 - mse: 144.3499 - val_loss: 33.3678 - val_mse: 33.3678\n", - "Epoch 20/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 176.2779 - mse: 176.2779 - val_loss: 71.9045 - val_mse: 71.9045\n", - "Epoch 21/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 145.4769 - mse: 145.4769 - val_loss: 39.8197 - val_mse: 39.8197\n", - "Epoch 22/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 183.6407 - mse: 183.6407 - val_loss: 39.9151 - val_mse: 39.9151\n", - "Epoch 23/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 360.7788 - mse: 360.7788 - val_loss: 28.3833 - val_mse: 28.3833\n", - "Epoch 24/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 118.7184 - mse: 118.7184 - val_loss: 30.7899 - val_mse: 30.7899\n", - "Epoch 25/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 91.9404 - mse: 91.9404 - val_loss: 84.7589 - val_mse: 84.7589\n", - "Epoch 26/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 66.3164 - mse: 66.3164 - val_loss: 74.6157 - val_mse: 74.6157\n", - "Epoch 27/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 107.2179 - mse: 107.2179 - val_loss: 34.0660 - val_mse: 34.0660\n", - "Epoch 28/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 105.7746 - mse: 105.7746 - val_loss: 32.6544 - val_mse: 32.6544\n", - "Epoch 29/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 127.6796 - mse: 127.6796 - val_loss: 32.6943 - val_mse: 32.6943\n", - "Epoch 30/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 122.2523 - mse: 122.2523 - val_loss: 41.7444 - val_mse: 41.7444\n", - "Epoch 31/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 129.8296 - mse: 129.8296 - val_loss: 38.9482 - val_mse: 38.9482\n", - "Epoch 32/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 103.4486 - mse: 103.4486 - val_loss: 64.6432 - val_mse: 64.6432\n", - "Epoch 33/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 93.4069 - mse: 93.4069 - val_loss: 29.5144 - val_mse: 29.5144\n", - "Epoch 34/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 57.1074 - mse: 57.1074 - val_loss: 45.3356 - val_mse: 45.3356\n", - "Epoch 35/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 77.3814 - mse: 77.3814 - val_loss: 144.6294 - val_mse: 144.6294\n", - "Epoch 36/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 98.4126 - mse: 98.4126 - val_loss: 39.7172 - val_mse: 39.7172\n", - "Epoch 37/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 65.1992 - mse: 65.1992 - val_loss: 28.2599 - val_mse: 28.2599\n", - "Epoch 38/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 73.0371 - mse: 73.0371 - val_loss: 35.3043 - val_mse: 35.3043\n", - "Epoch 39/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 60.9049 - mse: 60.9049 - val_loss: 56.1569 - val_mse: 56.1569\n", - "Epoch 40/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 117.1736 - mse: 117.1736 - val_loss: 61.8734 - val_mse: 61.8734\n", - "Epoch 41/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 88.8195 - mse: 88.8195 - val_loss: 31.0438 - val_mse: 31.0438\n", - "Epoch 42/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 47.2096 - mse: 47.2096 - val_loss: 33.1458 - val_mse: 33.1458\n", - "Epoch 43/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 94.4677 - mse: 94.4677 - val_loss: 30.0927 - val_mse: 30.0927\n", - "Epoch 44/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 78.4756 - mse: 78.4756 - val_loss: 37.8590 - val_mse: 37.8590\n", - "Epoch 45/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 108.7112 - mse: 108.7112 - val_loss: 41.5136 - val_mse: 41.5136\n", - "Epoch 46/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 73.3844 - mse: 73.3844 - val_loss: 28.1440 - val_mse: 28.1440\n", - "Epoch 47/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 59.8244 - mse: 59.8244 - val_loss: 425.8673 - val_mse: 425.8673\n", - "Epoch 48/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 60.7747 - mse: 60.7747 - val_loss: 53.1333 - val_mse: 53.1333\n", - "Epoch 49/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 87.2518 - mse: 87.2518 - val_loss: 26.3401 - val_mse: 26.3401\n", - "Epoch 50/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 56.4395 - mse: 56.4395 - val_loss: 48.9918 - val_mse: 48.9918\n", - "Epoch 51/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 45.8611 - mse: 45.8611 - val_loss: 713.6047 - val_mse: 713.6047\n", - "Epoch 52/300\n", - "200/200 [==============================] - 1s 2ms/step - loss: 79.7266 - mse: 79.7266 - val_loss: 35.8027 - val_mse: 35.8027\n", - "Epoch 53/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 59.1520 - mse: 59.1520 - val_loss: 85.2202 - val_mse: 85.2202\n", - "Epoch 54/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 64.8778 - mse: 64.8778 - val_loss: 53.4552 - val_mse: 53.4552\n", - "Epoch 55/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 64.5091 - mse: 64.5091 - val_loss: 63.5736 - val_mse: 63.5736\n", - "Epoch 56/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 79.7643 - mse: 79.7643 - val_loss: 36.6337 - val_mse: 36.6337\n", - "Epoch 57/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 52.8234 - mse: 52.8234 - val_loss: 34.6852 - val_mse: 34.6852\n", - "Epoch 58/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 66.0544 - mse: 66.0544 - val_loss: 31.7980 - val_mse: 31.7980\n", - "Epoch 59/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 55.0297 - mse: 55.0297 - val_loss: 29.2993 - val_mse: 29.2993\n", - "Epoch 60/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 76.8791 - mse: 76.8791 - val_loss: 41.5193 - val_mse: 41.5193\n", - "Epoch 61/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 42.2656 - mse: 42.2656 - val_loss: 28.7907 - val_mse: 28.7907\n", - "Epoch 62/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 59.3884 - mse: 59.3884 - val_loss: 29.1452 - val_mse: 29.1452\n", - "Epoch 63/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 46.1129 - mse: 46.1129 - val_loss: 48.2529 - val_mse: 48.2529\n", - "Epoch 64/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 64.2818 - mse: 64.2818 - val_loss: 27.5383 - val_mse: 27.5383\n", - "Epoch 65/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 53.8452 - mse: 53.8452 - val_loss: 100.3407 - val_mse: 100.3407\n", - "Epoch 66/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 49.6043 - mse: 49.6043 - val_loss: 49.7985 - val_mse: 49.7985\n", - "Epoch 67/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 46.2555 - mse: 46.2555 - val_loss: 35.3514 - val_mse: 35.3514\n", - "Epoch 68/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 40.1826 - mse: 40.1826 - val_loss: 39.3134 - val_mse: 39.3134\n", - "Epoch 69/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 47.1401 - mse: 47.1401 - val_loss: 30.9199 - val_mse: 30.9199\n", - "Epoch 70/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 47.6297 - mse: 47.6297 - val_loss: 29.3108 - val_mse: 29.3108\n", - "Epoch 71/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 62.4188 - mse: 62.4188 - val_loss: 33.0937 - val_mse: 33.0937\n", - "Epoch 72/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 43.1902 - mse: 43.1902 - val_loss: 33.8907 - val_mse: 33.8907\n", - "Epoch 73/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 63.6301 - mse: 63.6301 - val_loss: 251.6159 - val_mse: 251.6159\n", - "Epoch 74/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 62.1512 - mse: 62.1512 - val_loss: 30.3019 - val_mse: 30.3019\n", - "Epoch 75/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 39.3550 - mse: 39.3550 - val_loss: 93.4315 - val_mse: 93.4315\n", - "Epoch 76/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 44.6357 - mse: 44.6357 - val_loss: 31.0479 - val_mse: 31.0479\n", - "Epoch 77/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 48.6721 - mse: 48.6721 - val_loss: 25.8304 - val_mse: 25.8304\n", - "Epoch 78/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 75.8697 - mse: 75.8697 - val_loss: 77.1883 - val_mse: 77.1883\n", - "Epoch 79/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 47.5350 - mse: 47.5350 - val_loss: 40.4849 - val_mse: 40.4849\n", - "Epoch 80/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 47.7842 - mse: 47.7842 - val_loss: 59.9177 - val_mse: 59.9177\n", - "Epoch 81/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 44.2239 - mse: 44.2239 - val_loss: 26.8212 - val_mse: 26.8212\n", - "Epoch 82/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 43.6404 - mse: 43.6404 - val_loss: 33.7417 - val_mse: 33.7417\n", - "Epoch 83/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 47.7856 - mse: 47.7856 - val_loss: 28.2353 - val_mse: 28.2353\n", - "Epoch 84/300\n", - "200/200 [==============================] - 1s 2ms/step - loss: 41.9507 - mse: 41.9507 - val_loss: 29.1681 - val_mse: 29.1681\n", - "Epoch 85/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 46.3378 - mse: 46.3378 - val_loss: 36.6775 - val_mse: 36.6775\n", - "Epoch 86/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 51.3417 - mse: 51.3417 - val_loss: 36.9674 - val_mse: 36.9674\n", - "Epoch 87/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 44.0610 - mse: 44.0610 - val_loss: 41.4292 - val_mse: 41.4292\n", - "Epoch 88/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 37.3936 - mse: 37.3936 - val_loss: 33.5405 - val_mse: 33.5405\n", - "Epoch 89/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 50.1037 - mse: 50.1037 - val_loss: 26.4793 - val_mse: 26.4793\n", - "Epoch 90/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 42.4569 - mse: 42.4569 - val_loss: 28.5877 - val_mse: 28.5877\n", - "Epoch 91/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 43.5462 - mse: 43.5462 - val_loss: 79.8204 - val_mse: 79.8204\n", - "Epoch 92/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 42.4122 - mse: 42.4122 - val_loss: 41.8755 - val_mse: 41.8755\n", - "Epoch 93/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 39.9030 - mse: 39.9030 - val_loss: 38.3034 - val_mse: 38.3034\n", - "Epoch 94/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 45.7963 - mse: 45.7963 - val_loss: 29.4499 - val_mse: 29.4499\n", - "Epoch 95/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 41.8105 - mse: 41.8105 - val_loss: 37.1334 - val_mse: 37.1334\n", - "Epoch 96/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 32.6528 - mse: 32.6528 - val_loss: 27.6424 - val_mse: 27.6424\n", - "Epoch 97/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 35.2121 - mse: 35.2121 - val_loss: 27.3527 - val_mse: 27.3527\n", - "Epoch 98/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 48.2306 - mse: 48.2306 - val_loss: 36.3283 - val_mse: 36.3283\n", - "Epoch 99/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 40.1053 - mse: 40.1053 - val_loss: 25.8448 - val_mse: 25.8448\n", - "Epoch 100/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 39.1002 - mse: 39.1002 - val_loss: 31.9158 - val_mse: 31.9158\n", - "Epoch 101/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 37.9702 - mse: 37.9702 - val_loss: 73.6238 - val_mse: 73.6238\n", - "Epoch 102/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 51.3819 - mse: 51.3819 - val_loss: 35.0315 - val_mse: 35.0315\n", - "Epoch 103/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 46.1027 - mse: 46.1027 - val_loss: 75.2108 - val_mse: 75.2108\n", - "Epoch 104/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 36.3730 - mse: 36.3730 - val_loss: 27.1349 - val_mse: 27.1349\n", - "Epoch 105/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 34.7280 - mse: 34.7280 - val_loss: 25.6038 - val_mse: 25.6038\n", - "Epoch 106/300\n", - "200/200 [==============================] - 1s 4ms/step - loss: 37.7199 - mse: 37.7199 - val_loss: 32.4903 - val_mse: 32.4903\n", - "Epoch 107/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 47.0293 - mse: 47.0293 - val_loss: 36.1528 - val_mse: 36.1528\n", - "Epoch 108/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 45.9416 - mse: 45.9416 - val_loss: 39.0067 - val_mse: 39.0067\n", - "Epoch 109/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 42.2076 - mse: 42.2076 - val_loss: 39.0539 - val_mse: 39.0539\n", - "Epoch 110/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 56.2468 - mse: 56.2468 - val_loss: 53.1352 - val_mse: 53.1352\n", - "Epoch 111/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 39.9460 - mse: 39.9460 - val_loss: 31.9740 - val_mse: 31.9740\n", - "Epoch 112/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 49.3836 - mse: 49.3836 - val_loss: 27.6586 - val_mse: 27.6586\n", - "Epoch 113/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 35.5670 - mse: 35.5670 - val_loss: 27.1224 - val_mse: 27.1224\n", - "Epoch 114/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 34.7413 - mse: 34.7413 - val_loss: 28.5589 - val_mse: 28.5589\n", - "Epoch 115/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 38.2733 - mse: 38.2733 - val_loss: 26.6793 - val_mse: 26.6793\n", - "Epoch 116/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 36.3586 - mse: 36.3586 - val_loss: 33.0462 - val_mse: 33.0462\n", - "Epoch 117/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 39.5864 - mse: 39.5864 - val_loss: 40.6949 - val_mse: 40.6949\n", - "Epoch 118/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 36.0768 - mse: 36.0768 - val_loss: 34.4485 - val_mse: 34.4485\n", - "Epoch 119/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 38.6801 - mse: 38.6801 - val_loss: 57.5982 - val_mse: 57.5982\n", - "Epoch 120/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 38.2996 - mse: 38.2996 - val_loss: 62.8972 - val_mse: 62.8972\n", - "Epoch 121/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 41.1644 - mse: 41.1644 - val_loss: 35.8361 - val_mse: 35.8361\n", - "Epoch 122/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 36.4659 - mse: 36.4659 - val_loss: 33.9815 - val_mse: 33.9815\n", - "Epoch 123/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 40.3142 - mse: 40.3142 - val_loss: 43.7291 - val_mse: 43.7291\n", - "Epoch 124/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 32.9371 - mse: 32.9371 - val_loss: 30.2020 - val_mse: 30.2020\n", - "Epoch 125/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 36.3444 - mse: 36.3444 - val_loss: 92.4248 - val_mse: 92.4248\n", - "Epoch 126/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 33.6273 - mse: 33.6273 - val_loss: 29.9633 - val_mse: 29.9633\n", - "Epoch 127/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 40.4020 - mse: 40.4020 - val_loss: 31.1033 - val_mse: 31.1033\n", - "Epoch 128/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 33.3756 - mse: 33.3756 - val_loss: 29.3775 - val_mse: 29.3775\n", - "Epoch 129/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 34.1011 - mse: 34.1011 - val_loss: 35.2224 - val_mse: 35.2224\n", - "Epoch 130/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 32.5399 - mse: 32.5399 - val_loss: 34.6022 - val_mse: 34.6022\n", - "Epoch 131/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 44.3354 - mse: 44.3354 - val_loss: 27.7909 - val_mse: 27.7909\n", - "Epoch 132/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 33.6844 - mse: 33.6844 - val_loss: 34.1520 - val_mse: 34.1520\n", - "Epoch 133/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 38.4500 - mse: 38.4500 - val_loss: 37.8914 - val_mse: 37.8914\n", - "Epoch 134/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 32.2424 - mse: 32.2424 - val_loss: 34.9876 - val_mse: 34.9876\n", - "Epoch 135/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 59.5306 - mse: 59.5306 - val_loss: 28.1995 - val_mse: 28.1995\n", - "Epoch 136/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 32.7803 - mse: 32.7803 - val_loss: 35.0641 - val_mse: 35.0641\n", - "Epoch 137/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 34.6107 - mse: 34.6107 - val_loss: 26.3519 - val_mse: 26.3519\n", - "Epoch 138/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 35.7849 - mse: 35.7849 - val_loss: 28.2799 - val_mse: 28.2799\n", - "Epoch 139/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 35.4974 - mse: 35.4974 - val_loss: 32.7376 - val_mse: 32.7376\n", - "Epoch 140/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 33.6968 - mse: 33.6968 - val_loss: 34.3539 - val_mse: 34.3539\n", - "Epoch 141/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 37.0013 - mse: 37.0013 - val_loss: 38.0685 - val_mse: 38.0685\n", - "Epoch 142/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 32.6005 - mse: 32.6005 - val_loss: 26.5830 - val_mse: 26.5830\n", - "Epoch 143/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 32.2273 - mse: 32.2273 - val_loss: 27.5442 - val_mse: 27.5442\n", - "Epoch 144/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 37.1435 - mse: 37.1435 - val_loss: 52.0727 - val_mse: 52.0727\n", - "Epoch 145/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.9909 - mse: 31.9909 - val_loss: 32.8401 - val_mse: 32.8401\n", - "Epoch 146/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 37.4149 - mse: 37.4149 - val_loss: 28.3879 - val_mse: 28.3879\n", - "Epoch 147/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 39.6882 - mse: 39.6882 - val_loss: 37.8535 - val_mse: 37.8535\n", - "Epoch 148/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 33.4870 - mse: 33.4870 - val_loss: 43.2165 - val_mse: 43.2165\n", - "Epoch 149/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 32.8089 - mse: 32.8089 - val_loss: 26.1275 - val_mse: 26.1275\n", - "Epoch 150/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 37.9584 - mse: 37.9584 - val_loss: 26.1740 - val_mse: 26.1740\n", - "Epoch 151/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 40.6630 - mse: 40.6630 - val_loss: 55.9735 - val_mse: 55.9735\n", - "Epoch 152/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 36.0996 - mse: 36.0996 - val_loss: 31.9917 - val_mse: 31.9917\n", - "Epoch 153/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 35.7978 - mse: 35.7978 - val_loss: 29.3909 - val_mse: 29.3909\n", - "Epoch 154/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 35.2352 - mse: 35.2352 - val_loss: 31.0089 - val_mse: 31.0089\n", - "Epoch 155/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 32.1357 - mse: 32.1357 - val_loss: 34.9725 - val_mse: 34.9725\n", - "Epoch 156/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 32.4424 - mse: 32.4424 - val_loss: 26.5206 - val_mse: 26.5206\n", - "Epoch 157/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 34.8693 - mse: 34.8693 - val_loss: 28.3393 - val_mse: 28.3393\n", - "Epoch 158/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 36.5575 - mse: 36.5575 - val_loss: 42.3513 - val_mse: 42.3513\n", - "Epoch 159/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 35.9251 - mse: 35.9251 - val_loss: 55.6915 - val_mse: 55.6915\n", - "Epoch 160/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.9360 - mse: 31.9360 - val_loss: 47.8519 - val_mse: 47.8519\n", - "Epoch 161/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 41.2528 - mse: 41.2528 - val_loss: 31.6793 - val_mse: 31.6793\n", - "Epoch 162/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 32.2460 - mse: 32.2460 - val_loss: 32.3997 - val_mse: 32.3997\n", - "Epoch 163/300\n", - "200/200 [==============================] - 1s 2ms/step - loss: 31.8955 - mse: 31.8955 - val_loss: 39.0949 - val_mse: 39.0949\n", - "Epoch 164/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 33.7594 - mse: 33.7594 - val_loss: 43.3557 - val_mse: 43.3557\n", - "Epoch 165/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.7147 - mse: 31.7147 - val_loss: 70.2171 - val_mse: 70.2171\n", - "Epoch 166/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 35.8984 - mse: 35.8984 - val_loss: 41.9144 - val_mse: 41.9144\n", - "Epoch 167/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.3732 - mse: 31.3732 - val_loss: 32.4982 - val_mse: 32.4982\n", - "Epoch 168/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 32.6095 - mse: 32.6095 - val_loss: 31.6589 - val_mse: 31.6589\n", - "Epoch 169/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.3455 - mse: 30.3455 - val_loss: 27.2976 - val_mse: 27.2976\n", - "Epoch 170/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 32.6441 - mse: 32.6441 - val_loss: 33.4170 - val_mse: 33.4170\n", - "Epoch 171/300\n", - "200/200 [==============================] - 1s 2ms/step - loss: 30.6769 - mse: 30.6769 - val_loss: 32.7430 - val_mse: 32.7430\n", - "Epoch 172/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.3714 - mse: 31.3714 - val_loss: 28.2895 - val_mse: 28.2895\n", - "Epoch 173/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 30.6976 - mse: 30.6976 - val_loss: 34.4153 - val_mse: 34.4153\n", - "Epoch 174/300\n", - "200/200 [==============================] - 1s 2ms/step - loss: 31.5881 - mse: 31.5881 - val_loss: 43.4215 - val_mse: 43.4215\n", - "Epoch 175/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 35.4870 - mse: 35.4870 - val_loss: 26.2377 - val_mse: 26.2377\n", - "Epoch 176/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 33.8885 - mse: 33.8885 - val_loss: 39.0473 - val_mse: 39.0473\n", - "Epoch 177/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 33.8103 - mse: 33.8103 - val_loss: 29.5918 - val_mse: 29.5918\n", - "Epoch 178/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 33.8027 - mse: 33.8027 - val_loss: 32.4275 - val_mse: 32.4275\n", - "Epoch 179/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 33.3614 - mse: 33.3614 - val_loss: 30.2263 - val_mse: 30.2263\n", - "Epoch 180/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 35.0304 - mse: 35.0304 - val_loss: 25.9372 - val_mse: 25.9372\n", - "Epoch 181/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 34.5213 - mse: 34.5213 - val_loss: 56.1477 - val_mse: 56.1477\n", - "Epoch 182/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 31.2262 - mse: 31.2262 - val_loss: 26.1342 - val_mse: 26.1342\n", - "Epoch 183/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.3775 - mse: 30.3775 - val_loss: 29.2732 - val_mse: 29.2732\n", - "Epoch 184/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.6874 - mse: 31.6874 - val_loss: 53.8613 - val_mse: 53.8613\n", - "Epoch 185/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 37.2973 - mse: 37.2973 - val_loss: 32.1033 - val_mse: 32.1033\n", - "Epoch 186/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.1928 - mse: 31.1928 - val_loss: 31.4690 - val_mse: 31.4690\n", - "Epoch 187/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 33.1142 - mse: 33.1142 - val_loss: 27.3909 - val_mse: 27.3909\n", - "Epoch 188/300\n", - "200/200 [==============================] - 1s 2ms/step - loss: 32.2711 - mse: 32.2711 - val_loss: 30.7610 - val_mse: 30.7610\n", - "Epoch 189/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 31.9604 - mse: 31.9604 - val_loss: 31.8905 - val_mse: 31.8905\n", - "Epoch 190/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 33.7608 - mse: 33.7608 - val_loss: 27.8063 - val_mse: 27.8063\n", - "Epoch 191/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.2102 - mse: 31.2102 - val_loss: 27.9006 - val_mse: 27.9006\n", - "Epoch 192/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 29.6960 - mse: 29.6960 - val_loss: 30.5423 - val_mse: 30.5423\n", - "Epoch 193/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 30.3612 - mse: 30.3612 - val_loss: 26.0497 - val_mse: 26.0497\n", - "Epoch 194/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 30.4899 - mse: 30.4899 - val_loss: 27.3925 - val_mse: 27.3925\n", - "Epoch 195/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 31.9965 - mse: 31.9965 - val_loss: 30.4494 - val_mse: 30.4494\n", - "Epoch 196/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 33.0013 - mse: 33.0013 - val_loss: 29.0265 - val_mse: 29.0265\n", - "Epoch 197/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.3561 - mse: 30.3561 - val_loss: 26.5802 - val_mse: 26.5802\n", - "Epoch 198/300\n", - "200/200 [==============================] - 1s 2ms/step - loss: 33.9897 - mse: 33.9897 - val_loss: 30.8974 - val_mse: 30.8974\n", - "Epoch 199/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 29.6138 - mse: 29.6138 - val_loss: 34.5329 - val_mse: 34.5329\n", - "Epoch 200/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 32.4052 - mse: 32.4052 - val_loss: 41.7224 - val_mse: 41.7224\n", - "Epoch 201/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 31.3102 - mse: 31.3102 - val_loss: 27.9744 - val_mse: 27.9744\n", - "Epoch 202/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 33.2324 - mse: 33.2324 - val_loss: 32.6747 - val_mse: 32.6747\n", - "Epoch 203/300\n", - "200/200 [==============================] - 1s 2ms/step - loss: 28.8256 - mse: 28.8256 - val_loss: 29.0262 - val_mse: 29.0262\n", - "Epoch 204/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.1582 - mse: 31.1582 - val_loss: 26.7332 - val_mse: 26.7332\n", - "Epoch 205/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 29.4481 - mse: 29.4481 - val_loss: 26.9708 - val_mse: 26.9708\n", - "Epoch 206/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.1131 - mse: 30.1131 - val_loss: 36.9369 - val_mse: 36.9369\n", - "Epoch 207/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.1368 - mse: 31.1368 - val_loss: 31.4017 - val_mse: 31.4017\n", - "Epoch 208/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 30.4648 - mse: 30.4648 - val_loss: 35.4462 - val_mse: 35.4462\n", - "Epoch 209/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 32.4770 - mse: 32.4770 - val_loss: 34.4770 - val_mse: 34.4770\n", - "Epoch 210/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 32.4858 - mse: 32.4858 - val_loss: 28.5586 - val_mse: 28.5586\n", - "Epoch 211/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.3816 - mse: 29.3816 - val_loss: 26.4834 - val_mse: 26.4834\n", - "Epoch 212/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 31.0980 - mse: 31.0980 - val_loss: 26.1177 - val_mse: 26.1177\n", - "Epoch 213/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.4374 - mse: 29.4374 - val_loss: 27.7916 - val_mse: 27.7916\n", - "Epoch 214/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.7697 - mse: 29.7697 - val_loss: 31.9558 - val_mse: 31.9558\n", - "Epoch 215/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 32.3467 - mse: 32.3467 - val_loss: 30.7923 - val_mse: 30.7923\n", - "Epoch 216/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 31.2814 - mse: 31.2814 - val_loss: 26.9940 - val_mse: 26.9940\n", - "Epoch 217/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.6091 - mse: 29.6091 - val_loss: 28.3422 - val_mse: 28.3422\n", - "Epoch 218/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 32.1960 - mse: 32.1960 - val_loss: 49.6654 - val_mse: 49.6654\n", - "Epoch 219/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 29.9808 - mse: 29.9808 - val_loss: 32.1545 - val_mse: 32.1545\n", - "Epoch 220/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.3252 - mse: 30.3252 - val_loss: 27.7372 - val_mse: 27.7372\n", - "Epoch 221/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.3887 - mse: 31.3887 - val_loss: 26.6582 - val_mse: 26.6582\n", - "Epoch 222/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 28.4452 - mse: 28.4452 - val_loss: 28.3681 - val_mse: 28.3681\n", - "Epoch 223/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.0621 - mse: 31.0621 - val_loss: 31.0310 - val_mse: 31.0310\n", - "Epoch 224/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.9062 - mse: 28.9062 - val_loss: 29.1024 - val_mse: 29.1024\n", - "Epoch 225/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 30.0532 - mse: 30.0532 - val_loss: 38.0381 - val_mse: 38.0381\n", - "Epoch 226/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.5778 - mse: 31.5778 - val_loss: 28.6914 - val_mse: 28.6914\n", - "Epoch 227/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 31.8724 - mse: 31.8724 - val_loss: 25.3193 - val_mse: 25.3193\n", - "Epoch 228/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.0561 - mse: 29.0561 - val_loss: 25.3939 - val_mse: 25.3939\n", - "Epoch 229/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 30.4360 - mse: 30.4360 - val_loss: 29.5448 - val_mse: 29.5448\n", - "Epoch 230/300\n", - "200/200 [==============================] - 1s 2ms/step - loss: 30.1217 - mse: 30.1217 - val_loss: 27.0483 - val_mse: 27.0483\n", - "Epoch 231/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.2947 - mse: 30.2947 - val_loss: 25.9777 - val_mse: 25.9777\n", - "Epoch 232/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.6967 - mse: 28.6967 - val_loss: 25.9547 - val_mse: 25.9547\n", - "Epoch 233/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 28.1880 - mse: 28.1880 - val_loss: 25.6482 - val_mse: 25.6482\n", - "Epoch 234/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.6966 - mse: 28.6966 - val_loss: 31.5578 - val_mse: 31.5578\n", - "Epoch 235/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.6718 - mse: 31.6718 - val_loss: 28.8550 - val_mse: 28.8550\n", - "Epoch 236/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 30.1390 - mse: 30.1390 - val_loss: 30.3282 - val_mse: 30.3282\n", - "Epoch 237/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.2625 - mse: 28.2625 - val_loss: 27.1085 - val_mse: 27.1085\n", - "Epoch 238/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.9216 - mse: 29.9216 - val_loss: 26.9495 - val_mse: 26.9495\n", - "Epoch 239/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.6715 - mse: 29.6715 - val_loss: 31.8445 - val_mse: 31.8445\n", - "Epoch 240/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.2987 - mse: 30.2987 - val_loss: 27.2565 - val_mse: 27.2565\n", - "Epoch 241/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 29.1143 - mse: 29.1143 - val_loss: 29.5156 - val_mse: 29.5156\n", - "Epoch 242/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.9534 - mse: 28.9534 - val_loss: 26.1298 - val_mse: 26.1298\n", - "Epoch 243/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 32.5237 - mse: 32.5237 - val_loss: 31.0305 - val_mse: 31.0305\n", - "Epoch 244/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.8028 - mse: 29.8028 - val_loss: 25.6174 - val_mse: 25.6174\n", - "Epoch 245/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.6185 - mse: 28.6185 - val_loss: 30.0638 - val_mse: 30.0638\n", - "Epoch 246/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 28.8923 - mse: 28.8923 - val_loss: 30.3807 - val_mse: 30.3807\n", - "Epoch 247/300\n", - "200/200 [==============================] - 1s 2ms/step - loss: 30.2761 - mse: 30.2761 - val_loss: 26.9678 - val_mse: 26.9678\n", - "Epoch 248/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.1727 - mse: 29.1727 - val_loss: 32.0441 - val_mse: 32.0441\n", - "Epoch 249/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.0544 - mse: 30.0544 - val_loss: 31.1653 - val_mse: 31.1653\n", - "Epoch 250/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.8647 - mse: 29.8647 - val_loss: 26.4570 - val_mse: 26.4570\n", - "Epoch 251/300\n", - "200/200 [==============================] - 1s 4ms/step - loss: 29.7531 - mse: 29.7531 - val_loss: 32.6554 - val_mse: 32.6554\n", - "Epoch 252/300\n", - "200/200 [==============================] - 1s 4ms/step - loss: 29.7799 - mse: 29.7799 - val_loss: 31.3202 - val_mse: 31.3202\n", - "Epoch 253/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.4074 - mse: 28.4074 - val_loss: 26.6367 - val_mse: 26.6367\n", - "Epoch 254/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.1583 - mse: 30.1583 - val_loss: 29.6750 - val_mse: 29.6750\n", - "Epoch 255/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.9754 - mse: 28.9754 - val_loss: 28.6666 - val_mse: 28.6666\n", - "Epoch 256/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.7022 - mse: 31.7022 - val_loss: 54.7606 - val_mse: 54.7606\n", - "Epoch 257/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.1367 - mse: 28.1367 - val_loss: 26.7502 - val_mse: 26.7502\n", - "Epoch 258/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.6719 - mse: 28.6719 - val_loss: 26.9031 - val_mse: 26.9031\n", - "Epoch 259/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.7571 - mse: 31.7571 - val_loss: 26.8375 - val_mse: 26.8375\n", - "Epoch 260/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.6131 - mse: 29.6131 - val_loss: 29.7888 - val_mse: 29.7888\n", - "Epoch 261/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.1163 - mse: 29.1163 - val_loss: 27.6429 - val_mse: 27.6429\n", - "Epoch 262/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.1609 - mse: 28.1609 - val_loss: 25.4264 - val_mse: 25.4264\n", - "Epoch 263/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 29.9919 - mse: 29.9919 - val_loss: 27.0684 - val_mse: 27.0684\n", - "Epoch 264/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.6014 - mse: 29.6014 - val_loss: 25.4065 - val_mse: 25.4065\n", - "Epoch 265/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.4445 - mse: 29.4445 - val_loss: 29.0791 - val_mse: 29.0791\n", - "Epoch 266/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 33.6222 - mse: 33.6222 - val_loss: 28.7123 - val_mse: 28.7123\n", - "Epoch 267/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.1485 - mse: 30.1485 - val_loss: 34.9153 - val_mse: 34.9153\n", - "Epoch 268/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.4949 - mse: 29.4949 - val_loss: 28.8799 - val_mse: 28.8799\n", - "Epoch 269/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.3532 - mse: 29.3532 - val_loss: 26.3477 - val_mse: 26.3477\n", - "Epoch 270/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.8506 - mse: 29.8506 - val_loss: 25.5078 - val_mse: 25.5078\n", - "Epoch 271/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.6366 - mse: 28.6366 - val_loss: 26.9170 - val_mse: 26.9170\n", - "Epoch 272/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 27.9541 - mse: 27.9541 - val_loss: 40.5188 - val_mse: 40.5188\n", - "Epoch 273/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 28.6598 - mse: 28.6598 - val_loss: 27.5300 - val_mse: 27.5300\n", - "Epoch 274/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.3088 - mse: 29.3088 - val_loss: 29.5244 - val_mse: 29.5244\n", - "Epoch 275/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.2745 - mse: 28.2745 - val_loss: 44.5559 - val_mse: 44.5559\n", - "Epoch 276/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.3554 - mse: 29.3554 - val_loss: 28.4091 - val_mse: 28.4091\n", - "Epoch 277/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.3967 - mse: 28.3967 - val_loss: 26.6665 - val_mse: 26.6665\n", - "Epoch 278/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.2282 - mse: 29.2282 - val_loss: 27.0081 - val_mse: 27.0081\n", - "Epoch 279/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.0236 - mse: 30.0236 - val_loss: 28.9766 - val_mse: 28.9766\n", - "Epoch 280/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.9482 - mse: 28.9482 - val_loss: 26.7408 - val_mse: 26.7408\n", - "Epoch 281/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.1106 - mse: 29.1106 - val_loss: 27.1696 - val_mse: 27.1696\n", - "Epoch 282/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.3061 - mse: 29.3061 - val_loss: 25.7094 - val_mse: 25.7094\n", - "Epoch 283/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.4371 - mse: 28.4371 - val_loss: 35.3043 - val_mse: 35.3043\n", - "Epoch 284/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.5553 - mse: 31.5553 - val_loss: 31.1958 - val_mse: 31.1958\n", - "Epoch 285/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.4400 - mse: 29.4400 - val_loss: 26.9441 - val_mse: 26.9441\n", - "Epoch 286/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.3003 - mse: 30.3003 - val_loss: 29.0530 - val_mse: 29.0530\n", - "Epoch 287/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.4655 - mse: 28.4655 - val_loss: 28.7713 - val_mse: 28.7713\n", - "Epoch 288/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.2094 - mse: 30.2094 - val_loss: 27.8122 - val_mse: 27.8122\n", - "Epoch 289/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.6607 - mse: 29.6607 - val_loss: 27.4368 - val_mse: 27.4368\n", - "Epoch 290/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 27.7003 - mse: 27.7003 - val_loss: 26.0301 - val_mse: 26.0301\n", - "Epoch 291/300\n", - "200/200 [==============================] - 0s 2ms/step - loss: 28.8840 - mse: 28.8840 - val_loss: 28.0009 - val_mse: 28.0009\n", - "Epoch 292/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.0504 - mse: 29.0504 - val_loss: 25.6655 - val_mse: 25.6655\n", - "Epoch 293/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.6057 - mse: 29.6057 - val_loss: 27.0983 - val_mse: 27.0983\n", - "Epoch 294/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.8996 - mse: 28.8996 - val_loss: 33.9243 - val_mse: 33.9243\n", - "Epoch 295/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.6824 - mse: 28.6824 - val_loss: 28.1618 - val_mse: 28.1618\n", - "Epoch 296/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.2078 - mse: 28.2078 - val_loss: 29.5828 - val_mse: 29.5828\n", - "Epoch 297/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.1038 - mse: 29.1038 - val_loss: 26.1291 - val_mse: 26.1291\n", - "Epoch 298/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.2415 - mse: 28.2415 - val_loss: 28.0589 - val_mse: 28.0589\n", - "Epoch 299/300\n", - "200/200 [==============================] - 1s 4ms/step - loss: 28.8503 - mse: 28.8503 - val_loss: 46.1954 - val_mse: 46.1954\n", - "Epoch 300/300\n", - "200/200 [==============================] - 1s 3ms/step - loss: 28.8226 - mse: 28.8226 - val_loss: 26.1128 - val_mse: 26.1128\n" - ] - } - ], - "source": [ - "tf.random.set_seed(69)\n", - "\n", - "history = model.fit(\n", - " X_train, y_train,\n", - " validation_data=(X_val,y_val),\n", - " epochs=300\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "bPyM1flVR7VT", - "outputId": "429b4d8d-442d-4fce-9bed-507d3f831f64" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "63/63 [==============================] - 0s 2ms/step - loss: 26.4007 - mse: 26.4007\n", - "26.400720596313477\n" - ] - } - ], - "source": [ - "loss = model.evaluate(X_test,y_test)\n", - "print(loss[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jmeP6vt3z0oA" - }, - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "id": "RQTNqPHm0mOi", - "outputId": "d12a021f-c045-4c0a-db89-df68e934c252" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "history_df = pd.DataFrame(history.history)\n", - "history_df.loc[20:, ['loss', 'val_loss']].plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IVrR_vXA7kOt" - }, - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "id": "-lOHpD8-7ggm" - }, - "outputs": [], - "source": [ - "def r2_score(y_true, y_pred):\n", - " rss=np.sum(np.dot(y_true-y_pred,y_true-y_pred))\n", - " tss=np.sum(np.dot(y_true-np.mean(y_true),y_true-np.mean(y_true)))\n", - " return 1-rss/tss" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "dlD8xiYTSdGL", - "outputId": "f759fae4-83ca-4865-a246-148ee5c11afe" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "0.9981021934986285" - ] - }, - "metadata": {}, - "execution_count": 43 - } - ], - "source": [ - "preds=model.predict(X_test)\n", - "r2_score(y_test,preds.squeeze())" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "CHqzF1OU0pBg" - }, - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jF8oTUqq0y0g" - }, - "source": [ - "The model has the following layers:\n", - "> Input layer of size 5 \\\\\n", - "> Hidden layer of size 10 with relu activation \\\\\n", - "> Hidden layer of size 5 with relu activation \\\\\n", - "> Output layer of 1 unit \\\\\n", - "\n", - "The compiler used is adam.\n", - "The loss used is MSE.\n", - "100 epochs have been used." - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=69)\n", - "X_train,X_val,y_train,y_val=train_test_split(X_train,y_train,test_size=0.2, random_state=69)" - ] - }, - { - "cell_type": "code", - "source": [ - "# Your code here\n", - "model=keras.Sequential([\n", - " tf.keras.layers.Dense(units=10, activation=\"relu\", input_shape=[5]),\n", - " tf.keras.layers.Dense(units=5, activation=\"relu\"),\n", - " tf.keras.layers.Dense(units=1)\n", - "\n", - "])" - ], - "metadata": { - "id": "BeTSfV_djDIH" - }, - "execution_count": 46, - "outputs": [] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "id": "aS0ROZa402Lo" - }, - "outputs": [], - "source": [ - "model.compile(optimizer='adam',loss='mse',metrics='mse')" - ] - }, - { - "cell_type": "code", - "source": [ - "history=model.fit(X_train,y_train,validation_data=(X_val,y_val),epochs=100)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "2vn_SFItjLNC", - "outputId": "fe1609c9-1bbb-430f-e73d-b44cbeba2f76" - }, - "execution_count": 48, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 13608.7529 - mse: 13608.7529 - val_loss: 12586.1650 - val_mse: 12586.1650\n", - "Epoch 2/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 12275.2715 - mse: 12275.2715 - val_loss: 10298.6240 - val_mse: 10298.6240\n", - "Epoch 3/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 8899.3740 - mse: 8899.3740 - val_loss: 6198.0942 - val_mse: 6198.0942\n", - "Epoch 4/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 4636.0630 - mse: 4636.0630 - val_loss: 2512.5562 - val_mse: 2512.5562\n", - "Epoch 5/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 1721.8335 - mse: 1721.8335 - val_loss: 810.3369 - val_mse: 810.3369\n", - "Epoch 6/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 624.6358 - mse: 624.6358 - val_loss: 359.2792 - val_mse: 359.2792\n", - "Epoch 7/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 350.8651 - mse: 350.8651 - val_loss: 276.2025 - val_mse: 276.2025\n", - "Epoch 8/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 295.9746 - mse: 295.9746 - val_loss: 258.4288 - val_mse: 258.4288\n", - "Epoch 9/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 277.3628 - mse: 277.3628 - val_loss: 251.8044 - val_mse: 251.8044\n", - "Epoch 10/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 265.8996 - mse: 265.8996 - val_loss: 240.2702 - val_mse: 240.2702\n", - "Epoch 11/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 255.3853 - mse: 255.3853 - val_loss: 232.6491 - val_mse: 232.6491\n", - "Epoch 12/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 245.1447 - mse: 245.1447 - val_loss: 225.8970 - val_mse: 225.8970\n", - "Epoch 13/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 234.6394 - mse: 234.6394 - val_loss: 215.5998 - val_mse: 215.5998\n", - "Epoch 14/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 223.9099 - mse: 223.9099 - val_loss: 203.4106 - val_mse: 203.4106\n", - "Epoch 15/100\n", - "200/200 [==============================] - 1s 2ms/step - loss: 213.1458 - mse: 213.1458 - val_loss: 193.5069 - val_mse: 193.5069\n", - "Epoch 16/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 201.3265 - mse: 201.3265 - val_loss: 183.1958 - val_mse: 183.1958\n", - "Epoch 17/100\n", - "200/200 [==============================] - 1s 2ms/step - loss: 189.8398 - mse: 189.8398 - val_loss: 172.7327 - val_mse: 172.7327\n", - "Epoch 18/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 177.3586 - mse: 177.3586 - val_loss: 163.4608 - val_mse: 163.4608\n", - "Epoch 19/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 165.0649 - mse: 165.0649 - val_loss: 149.7040 - val_mse: 149.7040\n", - "Epoch 20/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 152.1427 - mse: 152.1427 - val_loss: 137.3576 - val_mse: 137.3576\n", - "Epoch 21/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 139.5791 - mse: 139.5791 - val_loss: 125.7625 - val_mse: 125.7625\n", - "Epoch 22/100\n", - "200/200 [==============================] - 1s 2ms/step - loss: 127.2014 - mse: 127.2014 - val_loss: 116.9279 - val_mse: 116.9279\n", - "Epoch 23/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 115.1704 - mse: 115.1704 - val_loss: 104.5045 - val_mse: 104.5045\n", - "Epoch 24/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 103.9685 - mse: 103.9685 - val_loss: 92.5960 - val_mse: 92.5960\n", - "Epoch 25/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 93.5050 - mse: 93.5050 - val_loss: 84.9866 - val_mse: 84.9866\n", - "Epoch 26/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 84.1484 - mse: 84.1484 - val_loss: 75.9547 - val_mse: 75.9547\n", - "Epoch 27/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 75.8451 - mse: 75.8451 - val_loss: 68.7094 - val_mse: 68.7094\n", - "Epoch 28/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 68.6338 - mse: 68.6338 - val_loss: 63.2305 - val_mse: 63.2305\n", - "Epoch 29/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 62.5801 - mse: 62.5801 - val_loss: 56.8251 - val_mse: 56.8251\n", - "Epoch 30/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 57.4634 - mse: 57.4634 - val_loss: 52.9321 - val_mse: 52.9321\n", - "Epoch 31/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 53.3630 - mse: 53.3630 - val_loss: 48.9235 - val_mse: 48.9235\n", - "Epoch 32/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 49.9535 - mse: 49.9535 - val_loss: 46.0755 - val_mse: 46.0755\n", - "Epoch 33/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 47.0669 - mse: 47.0669 - val_loss: 43.8014 - val_mse: 43.8014\n", - "Epoch 34/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 44.3689 - mse: 44.3689 - val_loss: 42.2291 - val_mse: 42.2291\n", - "Epoch 35/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 42.2920 - mse: 42.2920 - val_loss: 39.6523 - val_mse: 39.6523\n", - "Epoch 36/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 40.2004 - mse: 40.2004 - val_loss: 38.5464 - val_mse: 38.5464\n", - "Epoch 37/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 38.4463 - mse: 38.4463 - val_loss: 37.2931 - val_mse: 37.2931\n", - "Epoch 38/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 36.9455 - mse: 36.9455 - val_loss: 35.7705 - val_mse: 35.7705\n", - "Epoch 39/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 35.6417 - mse: 35.6417 - val_loss: 34.8316 - val_mse: 34.8316\n", - "Epoch 40/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 34.4860 - mse: 34.4860 - val_loss: 33.9528 - val_mse: 33.9528\n", - "Epoch 41/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 33.4356 - mse: 33.4356 - val_loss: 32.9950 - val_mse: 32.9950\n", - "Epoch 42/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 32.5982 - mse: 32.5982 - val_loss: 32.2191 - val_mse: 32.2191\n", - "Epoch 43/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 31.8866 - mse: 31.8866 - val_loss: 31.7858 - val_mse: 31.7858\n", - "Epoch 44/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 31.1069 - mse: 31.1069 - val_loss: 31.4925 - val_mse: 31.4925\n", - "Epoch 45/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 30.4652 - mse: 30.4652 - val_loss: 30.3444 - val_mse: 30.3444\n", - "Epoch 46/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.7824 - mse: 29.7824 - val_loss: 30.0548 - val_mse: 30.0548\n", - "Epoch 47/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 29.2876 - mse: 29.2876 - val_loss: 29.8105 - val_mse: 29.8105\n", - "Epoch 48/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 28.7501 - mse: 28.7501 - val_loss: 29.5409 - val_mse: 29.5409\n", - "Epoch 49/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 28.3570 - mse: 28.3570 - val_loss: 28.7541 - val_mse: 28.7541\n", - "Epoch 50/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 28.0634 - mse: 28.0634 - val_loss: 28.5283 - val_mse: 28.5283\n", - "Epoch 51/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 27.6026 - mse: 27.6026 - val_loss: 28.0110 - val_mse: 28.0110\n", - "Epoch 52/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 27.1863 - mse: 27.1863 - val_loss: 27.5993 - val_mse: 27.5993\n", - "Epoch 53/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 26.7750 - mse: 26.7750 - val_loss: 27.9839 - val_mse: 27.9839\n", - "Epoch 54/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.6986 - mse: 26.6986 - val_loss: 27.2500 - val_mse: 27.2500\n", - "Epoch 55/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 26.3814 - mse: 26.3814 - val_loss: 26.9674 - val_mse: 26.9674\n", - "Epoch 56/100\n", - "200/200 [==============================] - 1s 2ms/step - loss: 26.1764 - mse: 26.1764 - val_loss: 26.7911 - val_mse: 26.7911\n", - "Epoch 57/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.9598 - mse: 25.9598 - val_loss: 26.6214 - val_mse: 26.6214\n", - "Epoch 58/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 25.7795 - mse: 25.7795 - val_loss: 26.5284 - val_mse: 26.5284\n", - "Epoch 59/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.6769 - mse: 25.6769 - val_loss: 26.5878 - val_mse: 26.5878\n", - "Epoch 60/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.4562 - mse: 25.4562 - val_loss: 26.2363 - val_mse: 26.2363\n", - "Epoch 61/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.4134 - mse: 25.4134 - val_loss: 26.3440 - val_mse: 26.3440\n", - "Epoch 62/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 25.2458 - mse: 25.2458 - val_loss: 25.9467 - val_mse: 25.9467\n", - "Epoch 63/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 25.0868 - mse: 25.0868 - val_loss: 25.8385 - val_mse: 25.8385\n", - "Epoch 64/100\n", - "200/200 [==============================] - 1s 2ms/step - loss: 25.1196 - mse: 25.1196 - val_loss: 25.7628 - val_mse: 25.7628\n", - "Epoch 65/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 25.0052 - mse: 25.0052 - val_loss: 26.1844 - val_mse: 26.1844\n", - "Epoch 66/100\n", - "200/200 [==============================] - 1s 2ms/step - loss: 25.0065 - mse: 25.0065 - val_loss: 26.1573 - val_mse: 26.1573\n", - "Epoch 67/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.9212 - mse: 24.9212 - val_loss: 25.4381 - val_mse: 25.4381\n", - "Epoch 68/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.9110 - mse: 24.9110 - val_loss: 26.2909 - val_mse: 26.2909\n", - "Epoch 69/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.9264 - mse: 24.9264 - val_loss: 25.8472 - val_mse: 25.8472\n", - "Epoch 70/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 24.8658 - mse: 24.8658 - val_loss: 25.5165 - val_mse: 25.5165\n", - "Epoch 71/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.7693 - mse: 24.7693 - val_loss: 25.5439 - val_mse: 25.5439\n", - "Epoch 72/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 24.8256 - mse: 24.8256 - val_loss: 25.6658 - val_mse: 25.6658\n", - "Epoch 73/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 24.8129 - mse: 24.8129 - val_loss: 25.3437 - val_mse: 25.3437\n", - "Epoch 74/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.7795 - mse: 24.7795 - val_loss: 26.1083 - val_mse: 26.1083\n", - "Epoch 75/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.7246 - mse: 24.7246 - val_loss: 25.5743 - val_mse: 25.5743\n", - "Epoch 76/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 24.7131 - mse: 24.7131 - val_loss: 25.3376 - val_mse: 25.3376\n", - "Epoch 77/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.7548 - mse: 24.7548 - val_loss: 25.3547 - val_mse: 25.3547\n", - "Epoch 78/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 24.6683 - mse: 24.6683 - val_loss: 25.3924 - val_mse: 25.3924\n", - "Epoch 79/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.7497 - mse: 24.7497 - val_loss: 25.5278 - val_mse: 25.5278\n", - "Epoch 80/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.6559 - mse: 24.6559 - val_loss: 25.8185 - val_mse: 25.8185\n", - "Epoch 81/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 24.7465 - mse: 24.7465 - val_loss: 25.5447 - val_mse: 25.5447\n", - "Epoch 82/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.6187 - mse: 24.6187 - val_loss: 25.2425 - val_mse: 25.2425\n", - "Epoch 83/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.6510 - mse: 24.6510 - val_loss: 25.5632 - val_mse: 25.5632\n", - "Epoch 84/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 24.6039 - mse: 24.6039 - val_loss: 25.5532 - val_mse: 25.5532\n", - "Epoch 85/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.6390 - mse: 24.6390 - val_loss: 25.5506 - val_mse: 25.5506\n", - "Epoch 86/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 24.6142 - mse: 24.6142 - val_loss: 25.3146 - val_mse: 25.3146\n", - "Epoch 87/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.7010 - mse: 24.7010 - val_loss: 25.6901 - val_mse: 25.6901\n", - "Epoch 88/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.6403 - mse: 24.6403 - val_loss: 25.5691 - val_mse: 25.5691\n", - "Epoch 89/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.7331 - mse: 24.7331 - val_loss: 25.5972 - val_mse: 25.5972\n", - "Epoch 90/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.6429 - mse: 24.6429 - val_loss: 25.5331 - val_mse: 25.5331\n", - "Epoch 91/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.5740 - mse: 24.5740 - val_loss: 25.5387 - val_mse: 25.5387\n", - "Epoch 92/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 24.6910 - mse: 24.6910 - val_loss: 25.2344 - val_mse: 25.2344\n", - "Epoch 93/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 24.6374 - mse: 24.6374 - val_loss: 25.4383 - val_mse: 25.4383\n", - "Epoch 94/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.5917 - mse: 24.5917 - val_loss: 25.5590 - val_mse: 25.5590\n", - "Epoch 95/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 24.7260 - mse: 24.7260 - val_loss: 25.5597 - val_mse: 25.5597\n", - "Epoch 96/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 24.5821 - mse: 24.5821 - val_loss: 25.6252 - val_mse: 25.6252\n", - "Epoch 97/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.5958 - mse: 24.5958 - val_loss: 25.2008 - val_mse: 25.2008\n", - "Epoch 98/100\n", - "200/200 [==============================] - 1s 3ms/step - loss: 24.5501 - mse: 24.5501 - val_loss: 25.3190 - val_mse: 25.3190\n", - "Epoch 99/100\n", - "200/200 [==============================] - 0s 2ms/step - loss: 24.5916 - mse: 24.5916 - val_loss: 25.1274 - val_mse: 25.1274\n", - "Epoch 100/100\n", - "200/200 [==============================] - 1s 2ms/step - loss: 24.5280 - mse: 24.5280 - val_loss: 25.2692 - val_mse: 25.2692\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "pd.DataFrame(history.history).loc[:,['mse', 'val_mse']].plot()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "id": "iRX9x2WfjYdO", - "outputId": "79a817c8-d16c-46cd-a483-a338c3e02f92" - }, - "execution_count": 49, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 49 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "preds=model.predict(X_test)\n", - "r2_score(y_test,preds.squeeze())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Srito8RCjkVo", - "outputId": "d10fe70d-0d25-4d18-9818-f304a11b73c5" - }, - "execution_count": 51, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "0.9981411159417038" - ] - }, - "metadata": {}, - "execution_count": 51 - } - ] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "collapsed_sections": [], - "name": "Copy of Copy of CVusingTF_Assgn2.ipynb", - "provenance": [] - }, - "gpuClass": "standard", - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file diff --git a/Assignment 2/A2_201138.ipynb b/Assignment 2/A2_201138.ipynb deleted file mode 100644 index 442d2b2..0000000 --- a/Assignment 2/A2_201138.ipynb +++ /dev/null @@ -1,822 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "[SELF] CVusingTF_Assgn2.ipynb", - "provenance": [], - "collapsed_sections": [ - "h2JON-_Oy79w", - "r6it-Rm7zD1Y" - ] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "# y=y/(y.max())\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "for i in range(5):\n", - " plt.subplot(2,3,i+1)\n", - " plt.scatter(X[:,i],y)\n", - "plt.show()" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "outputId": "73a2bad8-2d7d-47bb-d070-40120dbfe0b8" - }, - "execution_count": 60, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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M9ibhnG4mhGi0JW3nbNrO7WOS00WHnwvogYEFeGRVr9QFZDJoJoRoyg1ugs6dlbWcLq3GtB90aRZCHfuvs2LhxaE+n2XCBGH4he46Lj4TvIn9HGUdRPF725K29Bptp/yD5nRxU6lOYP1WeYIv5x6TAQ/PTQoY7TN40bmz0jbo0sTIaBknJZtwKuLMjJlnN5yOsLn5/WTiJGbz25XxS+wXZuPY2fNLU96stnP7AMFzurgZq1SlR/xt/44Om8MfuiUl+5DlmJ6mdfO+YkckvmUZeXfDqQibm9/UnaKTUcmVqlnlJvWjg6A8DOa0JU3uvLaz/P0wzbQJQJneF6hF0ngtjSDxIKYKxc+6d6elbfeIEQeVq2ZGdxGq4J1KdbLJQr13ZL/V6kFFu7rhwq6mTFe2qsyrAHDyzDiGf3LEt1C7F+fzM7qLys85ab3TRlta/jq8VnJPd1EZweGk9/UqUifplHswBPUXdpA8isGv3Wzd+xNF9EWlOiHdyHfkXTJcEaRVQbSCsBuhpmPf/T6nLocuWkeH+9QuANz99H6oPL0CwZLwxQ0rfwnepVnf17YrB4d3aToyWpaWcRPQLwtVTIqz1r9fRsc0LSmzgErpCNhlb1RVbHKiRnTjB5ia978dWTJv5pScOu7rppiOfed9qkSLJniTx135P3+EiibSq1UnxG1ht48B9906X/maE/45Mlpu+JBVSmNSAIWQh4HCFvaIOrVFltEplzBpe4GzaZ8BKC1C4GwhcNOzHHlEtdH93V1vxjZGg+6veE/t3juyHyc1ij/NgRWJKX8iuomIDhHRYSJal1Q7TBjoKzVSL8twLPL7n20+HOZlUmH6dxU7jPcagg7csFEVJmRJrjbRNbrT2yrWDO9F39fUaaEJyMz+S5xy1Y3nOMYoAPQYnLT32mnvn1bA0B9PPYPzxMtHlJ9XpZxIC4kofyIqAPgmgJsBXAngdiK6Mom2mLJ++Xytcq5UJ4z8hioj8FR1sikMTDXhBN0YjLNEIJA9udpMoud2dQZK4aAbE1nZ4I1brn794DdGg6xmTxlEeHntNJndplshqlJOpIWkfP7XADgshPg1ABDRkwBuA3Awofb44ghR5s+Pgo66Zen2JaqKWQRdRsYZo14nU3K1Cc88frKqjAAKQprdARJilavJKVzvGB0ZLWP91gNNqyqTSmcjo2Wtj16FLPxUtTdElM5NXjdJuX1KANzrpaP1aw2I6E4i2k1Eu48dszv8YmMJ2Lw3zOEtP5xj4O77R30opAUnfX3lCoSTbZTYhPUC9pv1KtLuDpAQq1xNTuG6x+jIaBmD39undKf5rRTCrHS9k9Dt186Wvq+7WAjtqop7fy610T5CiMcAPAbUSsKZfk6X50MWkmn6XofzuorSQRc0lNONzLKIMoJHZmElYYEGlW3UeEMEW9WQSSG0VmlWw3XDyNUZ57rVrtM3Jqs13Wo2zErXayg5G/XecN8TZyZC1VoOoptsScryLwNwT5kX16+FxsavbesDV+XjBoDuaQUE2BNsIs5Tni04Xh6bXOPCffitVSF5qpVWKzbkA9IyuarGKIApuXb80PVxR8AHVXUW44GBBdL7hdlPi3t/DkjO8n8FwOVEdBlqg+hzAD4fxR+28Wvb+sDXbz2gLOt24swEOii89R/3JmDMZwFik2sQbK3owWVzfUs2+uGkeJYdJAL0K62waQ5ipKVylY1Rv/KNbrwrBZP6v8UOAkhdttHvLIZKZ5THKk01mk1owf5cMpa/EGIcwF8C2Abg5wCeEkKocyVYYOPXtnmvLtWzw6SopeUNugLI2CZgE3HK1ZYgVvRAXwnvnxa81Ka7WMzOdUvx+sZb8MiqXuOVVise+CCkQa6mfTCju9i0UnDkv3nXm8oJZNU1szH0x1dNKfDT01VsyM3vLIbOaAuyimtFJt7EfP5CiOcBPB/137Xxa9u813S5dbI6iU2rejHQV0Lv/eoY756uIqoTkzhxZqLx+/rl85O28EITl1xNcFt6HZIojEp1Al99ah/WDu9VWmLFQgeAYKmZZYrdZqWVtnzvbpKUK+AfmTWju4j7bj37/MhWCrpV+eb6CWN3tJ0NJhFLNqu4VuzPpXbDNyhOQZUnXj6CCVErwrByofwBtMmHY2N9ORszupXC6fHJKYI9PR6uEEi7490gU4XjOtdVG2jvamRWIMI57+uUyrXkyp5q02aZWyLpDfk0olKGqpWU7WpJoDYB9F9qXzIV0BdyCtKuVuTqyp3yd5KqOQ/5hBDYsqesFKrOMvOzJFWYbMyk1LebWYIUU5H1uc7CnBBCOjkEUdCqymtO6c0sRvvEiakydJ7ZIHtvAs25umx46dVjvve1WcXFnasrd8rfdtNMtSloakmqeGusghmajKCqzzDBCNp33s8NLpurzefuvd5BUyd704dVNU5fevVYYNdD3vFThkHqM3gJ8wz6RSKlbRWXK+U/MlpWCkAmVF0sbdiyfM5EMvj9fcoIAtlnmGAELabi7XPT5buDc/CrPFbB2uG9WDO8txHxo1NUad3czRpBV+cq/J5BXQSZLhOsyZhoNblR/o4iVyETqm6VEOYhdEd9OPcJahVk+dBPK7Et1A2o+/yBgQXov/R84wNFDs5jb3IgJ82bu2nHfdjLHUobVvH7WeZ+B69090/jai43KZ11lrpKqDrrK+hD6A3nM6kfqgoBlIUrrhnei977t6fh4E/iuI+/D207hJULS74HtagWzu0bdunILejBL799H66rHAxvYfWoTmWbHHj0O3ilGitpzeefG8tfZ6mrhKqzvoJYkn+y6JIpscAmS1JvYQg3qgltrFKN/Kh31lBtmG5YsUBrsfd0FTH6tzca/X3VQS1TdGOSK68FY/1W/7TptvR0FY0scz9XXVrSp5iSG+WvUuS6EDydsLwPp86fWCDC7dfOblL8fhvGfgNDpzzaPTpIZ4XpTuqalGj0yk4gWO4mv9UjV16zw+SgJWBXha3YQVi/XF2syY2fqy5rE3pu3D5BltF+uW7ceV8e/uxV0r+/aVUvfrXhk02n/1RWe4HIOK+On/Jo581BnRU20FfCDEWxDhN3nkx2Tj3eTat6jTKBptniyyomBy27igU8/NmrfN2szjM49BnznPsmOsatM9JeqCcXlr+zRK9UJxqzvunuuk3tT8B8Vlcpp0kh8NrGW3zvB/hvYrbz5qCfFXbfrfMDL8H9lvfvK3Y0/q5zMhvIjsWXVfyMHfczr3L96dysfjjyvP/ZA40Q7umd2bWfM6/8Ze4Vr+smKlp9VF822Bza3bL086+GWYKrZNfTXWy6p3Mym1048aOSy4zu5n2cOP3vp1yFYLK8/5bdaatOK1KfBiGqaI6BvhJG//ZGbLJIENYOmKSnDroEV8lOCPXJbCZ+VHK579Zmn31c6cvTqm+CkHnLP8xhmThj6KPe/GHLshmTPgkiY5Xs1io2kdt576WV2D5TNs+M6TjJ0+G8zCv/oO6VVlTKYYWdLGFkLJOdyo/cznsvrSaOZ8pmnOTpcF7m3T5B3St5Wr4xcqKWMR/Myic24yRPYyDzyj+oby9PyzemGds8TybE5UdmkkVXhctbOD1PYyDzbh8gmG9PdQSkRxEfbgPn40kWvzxPHUSBSusxrUVW7yCOdNe6pIAyF1Be3Lm5UP6mmKR8PX6yisUbdwQeWK3YS2D0+GVkdRd0GfzePgBmsmHZtg5ZX3+3Xm3L+T1o37snlZ7uIk75pIvI62n6zLt9bDBN02xbb9PvHryX0Fps3DrVSYH1W83K0apka/p5xhyTZzXIc+VNlnj8ZBWVqn8VvTy6g9vK8rcRoGy21xV+ca6r3El5HDxxEdZtZpvbf6xittpTyXCsUsXIaDl3lmGSmD4vpu9zJ+oLQhajefxoK8vfVoDugSVLr3z30/tx78j+Kdejune7oupnm1WYLCLDD5P76GTIK7toMX1eTN7nTQNtS1ajefxoK+VvqxTcA0u15H/i5SO+y9NigXDi9DguW/dcU/QAM5Uo3GayiAxVojeb+wTNwNrOuGsu2Ix9E2VrqpRtq/LN6C7mIprHj7Zy+zgC/OpT+3xTvnoHlurh1v0dQi166L1T441UtLxJqCeqEFxvRMbIaBmD39uH6qRe7jrrcKCvJM2zBPDKTkbYQ3aqtNyAXVlEm7HjpItoh2ezrSx/oDaoZOmZAeD90wrK2V71cBdInjy21NOF1zbegu5pnU0KhzeA1aj6OaxyHegrYegzV6GnS78CUMnT4b5b5+fmkE/chF3FqWTlFF+xSbKoYkZ3ET1dxdxb+TLayvJ3CJJ3R5UlcOXCErbsKSuzB/JhMjvizMboXg3MWfec9D1+K8KsFexIkrBjf/3y+U2rNZviKw6qMdVOil5GWyp/wP6ghu6hd4p9y5RBnnKBtIJWKdeSpvKbSRvbWWmYEnbsRzUWeMKW07bKPwiqh16nDLJW1zMNtEK5slziJ4o+jmos8ITdTCifPxENEdGrRPQzIvoBEfW4XrubiA4T0SEiWua6flP92mEiWmd7z6DRA0mRxVwgg4ODmDdvHj7+8Y/j05/+NMbGxtwvfygOubaagb4SVi4sNXz8BSKsXJh/BaGTbdTPbFrHftZ0SFyQMCx0LP0w0Y0AdgghxonoIQAQQtxFRFcCeALANQAuAvACgD+sf+wXAG4AcBTAKwBuF0Ic1N2nv79f7N69W5qeIS7fXTvn59m+fTuWLl2Kzs5O3HXXXQCAhx56CAcPHsT8+fMrAGYgArkCU2Xbyv5u5VhKEyrZEtEBABOI+JlNGzq5A/lzDRHRHiFEv+y1UJa/EGK7EGK8/usuABfXf74NwJNCiNNCiNcAHEZtUF0D4LAQ4tdCiDMAnqy/14hWpU6I4qBRlrnxxhvR2VnzCC5atAhHjx4FADzzzDMA8E7Uck2iv9s1DYdKtgB6EMMzmzZUcr//2QNt98xHGer5JQA/qv9cAnDE9drR+jXV9SaI6E4i2k1Eu48dOwagdZEz7aoYZDz++OO4+eabAQDlchkAzrhetpYr0CzbJPqbo7CmyhbANMTwzKYNlXxrOX7a65n33fAlohcAfEjy0j1CiGfq77kHwDiAzVE1TAjxGIDHgNoSEmhd5Ew7KIbrr78ev/nNb5quP/jgg7jtttsaP3d2dmL16tWR3tsr2yT6O89RWEnJVvbMpg3bvE95eua9+Cp/IcT1uteJ6IsAPgXgOnF2A6EMYLbrbRfXr0Fz3ZdWRWjkWTE4vPDCC9rXv/3tb+OHP/whXnzxRVB9U7RUKgE1C9EhErkm0d95jvYJIlvUVnSRP7NpQyX36Z0djVP4bvL0zHsJG+1zE4C/BrBcCHHS9dJWAJ8joulEdBmAywH8BLXNosuJ6DIimgbgc/X3GtGq6IE8lWoLwo9//GN8/etfx9atW9Hd3d24vnz5cgA4P2q5JtHfaY1EiRuVbAGMIYZnNm2o5L5+efud3A4b7XMYwHQAv6tf2iWE+HL9tXtQ2wcYB7BGCPGj+vVPAtgEoADgcSHEg373SSJyoJ2jfT760Y/i9OnTuOCCCwDUNga/9a1vAQCIqAzgNCKQK5BctE+7opItEe0B8ANk+JkNSx7HoC7aJ5TybxVZHEh5RTeYgsCyTQcs13wSW6gnwzAMk03aMr1DHpd3THB4PMQL9286aTvlz0W4GTc8HuKF+ze9ZF7521oVugNFPBjTRSssRh4P8ZL2/m3nVUmmlX8Qq6IdDnDlgVZZjDwe4iXN/dvuq5JMb/gGSQsQV6UoJlpalfKBx0O8pLl/2z2NS6aVfxCrot0PcGWFVlmMPB7iJc39m+ZVSSvItPIPYlW068nOrNEqi5HHQ7ykuX/TvCppBZn2+QfNz8JVfdJPK3Pv8HiIl7T2b57zO5mQaeXPtTnzC8uWiZt2H2OZSO9ARMcAvFH/9UIAv02wOSbkuY2XCiFmRtUIj2x1pK1P09SeKNqSlFwd0tKfeWuHUq6ZUP5uiGh3lDlI4oDbGD1pa2+a2pOmtgQlLd+hndqR6Q1fhmEYJhis/BmGYdqQLCr/x5JugAHcxuhJW3vT1J40tSUoafkObdOOzPn8GYZhmPBk0fJnGIZhQsLKn2EYpg3JpPInoiEiepWIfkZEPyCinqTb5P4iVMsAAB2gSURBVEBENxHRISI6TETrkm6PGyKaTUQvEdFBIjpARH+VdJtsSIPc0yTfrMvTDcu20YbWyVQIkbl/AG4E0Fn/+SEADyXdpnpbCgB+BeDDAKYB2AfgyqTb5WrfLABX138+B8Av0tS+tMs9bfLNujxZtsnKNJOWvxBiuxBivP7rLgAXJ9keF9cAOCyE+LUQ4gyAJwHclnCbGggh3hZC/LT+8+8B/BxAZs6yp0DuqZJv1uXphmVbo5UyzaTy9/AlAD9KuhF1SgCOuH4/ipQ+jEQ0B0AfgJeTbUlgkpB7auWbA3m6YdkifpmmNrEbEb0A4EOSl+4RQjxTf889AMYBbG5l27IOEX0AwBYAa4QQ/5V0e9yw3O1JszzdsGzNaYVMU6v8hRDX614noi8C+BSA60TdQZYCygBmu36/uH4tNRBREbVBtVkI8XTS7fGScrmnTr5pl6cblq0ZrZJpJg95EdFNAL4B4I+EEMeSbo8DEXWitkFzHWoD5xUAnxdCHEi0YXWIiAD8M4B3hBBrkm6PLUnLPW3yzbo83bBsG+1omUyzqvwPA5gO4Hf1S7uEEF9OsEkNiOiTADahFj3wuBDiwYSb1ICIPgHg3wDsBzBZv/w3Qojnk2uVOWmQe5rkm3V5umHZNtrQMplmUvkzDMMw4chDtA/DMAxjCSt/hmGYNoSVP8MwTBuS2lBPNxdeeKGYM2dO0s1gAOzZs+e3IsJaryzbdBC1XJn0kwnlP2fOHOzevTvpZmSSkdEyhrYdwltjFVzU04XBZXMx0Bf84CIR2RTl9iVp2UbdP1klarky6ScTyj+PtELpjIyWcffT+1GpTgAAymMV3P30fgBoSwXnJU39w5MQ02rY558AjtIpj1UgcFbpjIxGe6BwaNuhhmJzqFQnMLTtUKT3ySpp6Z9WjQeGccOWf0DCWGo6pROltffWWMXqersRdf8EHROtGg8M44Yt/wCEtdRapZQv6umyut5uRNk/YcYET9JMErDyD0BYd0GrlPLgsrnoKhamXOsqFjC4bG6k98kqUfZPmDHBkzSTBKGVv6rsGBGdT0T/SkS/rP8/o36diOjv66XSfkZEV4dtQ6sJa6m1SikP9JWwYcUClHq6QABKPV3YsGKBkSvhyJEjWLJkCa688krMnz8fjz76qPNSIS9yDdM/XsKMCZ6kmSSIwuc/DuCrQoifEtE5APYQ0b8C+CKAF4UQG+v1MNcBuAvAzQAur/+7FsA/1P/PDBf1dKEseahNLTVHuTj+4fO6iiAC1g7vxdC2Q5FGegz0lQL9rc7OTjz88MO4+uqr8fvf/x4LFy7EDTfcANTKzA3nRa5B+8dLmDHhHQ8X9XRhybyZGNp2CGuH93L0DxMLoS1/Tdmx21BLTYr6/wP1n28D8C+ixi4APUQ0K2w7WkmUlpoA8G6liuMnq6mK9Jg1axauvrpmvJ9zzjm44oorUC6XAaAHOZVrGGRjolggnDg9jsvWPYfFG3doZTrQV8LOdUvx2sZbMLhsLrbsKXP0DxMrkUb7eMqOfVAI8Xb9pd8A+GD9Z1W5tLdd10BEdwK4EwAuueSSKJsZGpmlZmOZeePLvXlVbSM94o4Rf/311zE6Ooprr70WqBXZDixXIHnZxtFf3jHR013Ee6fGMVapArA7Q8DRP0wriEz5e8uO1WoS1BBCCCKyyh0thHgMwGMA0N/fn7q8037uAp2CkT3cXkz3D+I+qPTee+9h5cqV2LRpE84999wprwWRa/1zick2iv5SydY9JhZv3IHjJ6tTPmeqwDn6h2kFkUT7KMqO/Yez7K///5/166kplxYXfmF/Jg+x6f5BnAeVqtUqVq5cidWrV2PFihXO5fEsyzVsf5mGdIZR4Bz9w7SCKKJ9CMA/Avi5EOIbrpe2AvhC/ecvAHjGdf3P6tEhiwC863Ij5AI/BeP3ENvsH8RlJQohcMcdd+CKK67AV77yFfdLY8iwXMP2l+nkEUaBc/QP0wqisPwXA/hTAEuJaG/93ycBbARwAxH9EsD19d8B4HkAvwZwGMD/AvDfI2hDqvBTMLKH23GS2YYbxmUl7ty5E9/5znewY8cO9Pb2ore3F88//zxQ8+FnVq5h+8t08gijwKMMQWUYFaF9/kKIf8dZ3eXlOsn7BYC/CHvfNOMX9hd2w9jN4LK5U3zYQDArUebHVpT4nBBCZFaufv3ltxlsGtIZVsZRhaAyjArO7RMDMgVDqPmH+762HULUwjsv6unCI6t6Qz3kUUwkacpuGTe6Mxbrtx7AiTPjqE7UJj1ZP5hOtpylk0k7mSjg3t/fL9KSz9/0oXbeVx6rgNAczunQVSwkvqRfvHGH1Jot9XRh57qlU64R0R4hRH9U905Stt5JT0WBCJNCNOQN6Cdb2d9Ng5x1RC1XJv2w5W+BjYXsLNt779/eiPWWkYb47bSHFsZlRZuE3ALAhJi6EtiwYkHTpOj3d9MgZ4Zxw4ndLLANExwZLWsVv0PSSjbNoYVx5roP0u8mYaFpn0wZBmDlb4XtQ20aO95BNEWZjYyWsXjjDqO0AFGQ5tDCKM4xqPoz6ORWHqto5ZPmyZRhHNjtY4Ft8i5TS29CiIb7CIDUtbT7jXfw0qvHYtlAjDL6KGrCWtE6V51s87bYQfjA+zoxdrKKDqKGy8eLMw7CbAozTJKw8rfA9qFWTRYy3NaszNLdvOvNxqZxHNE4aQ0tDJtBVbdycPz2qklvZLSMwe/tQ3VSHxTh9eeneTJlGAdW/hY4D+/9zx5o5G2Z3qn2nMkmCx06azZs8jcZWQhHDGtF+60cvJOe4yJy+mRaZweqZ/zlx/58Jmuw8g/Aqepk4+exSlVqhTuKtVKdQEHjPnDjWLOmq4UwCicrsf1hrWiblYOsT0xx/70wfZuFCZnJB6z8LVG5EdZvPTDl4JD7sNCEENpYf2CqNSs7ICb7bJgNxCyFI4ZxSdmsHExDP714/56qb+9/9oBvJtgsTMhMPmDlb4nK2h6rVBthnbLwToFmJe78XpJYeN6qTlv2lK1dHzorMuvhiKYWss3KIch3l8lO9XeOn6xiZLQ8ZU/B3a4Tp8czMyEz2YeVvyU2m7heHEVvorC81/svPd/KHeBnRYbdSE0SWwvZdOWg6pOeriKAs5P6jO4i7rt1vvJv6saIo8htXExZmZCZbMHK34PMogSmVmgqdpBvBIgMWboE2f3dG8o9XUWsXz5fq8BkbfZz62Q5HNHWZaVaJXivz7mgNjF7JVudmMTJMxNSK1/G4LK5WDO8V/qao8htXEzn1ScfhomSXCt/280zmTXmfYiPn6yigwAiQAgYb+YCwJJ5M33bO/j9fY29AqBmbQ5+bx8AuVWrsoJVisUd5QKgkX+oQDQl3DTNbgaVJewcvvKGa6rOTbhdaeWxitL6PnHm7HvWDu/F7jfewQMDC5TtG+grYf3WA1L330U9XRgZLVutHk+cGZ/iLmKYKMjtCd8gaQFMrbFJUVP8AIwVPwD8cJ++tsnQtkNTFL9DdVIoT7SqrOACybNsu906zgqgq1hoyl+T5mLhOteUt/2q/nni5SOBNncFgM273vTtn/XL50tPTS+ZN3PKgT4vHRKxVSfU8meYoORW+QdJCxC3b3WsUtWmBdDd33aDdkIIo5QNcZaBjAtZOgo37vbr+icoAv6pO1QFWV569Zh20lF5E9nvz0RNbt0+QaJZwmzmAmc3c3VqRZYWAKgpE93ndPliVOmYHd+/zu2Vxagfr8tKxltjFYyMlpUpGmzcdaq/b9JOb3+vVewF+JGFjXgmW+RW+QeJZlkybya+u+vNQPdzb+b2fW17Y8NWhxP7fao6qbUGix2k3IgdXDa3aZ+gWKCGovfzE2c16sf5bqpaBCBg8Pv7pAq+q1jAyoUlDP/kSKCNeyB4/wQxMAjIxEY8ky1y6/ZRZapcMm+m1PUyMlrGEy8fCXQvrzvlvlvnG3/2+MmqVvH3dBUx9Jmr9Ercq78s9FmaM3qaoHIBCQHp/kmBCBtWLED/peeri4/6UCwQjp84jTnrnsOcdc+h9/7txnskfi4rGQKYsoHdyoyvTH7JreUvO9zjPSzljfwI4gaQxXzroj1MIQCvbbzF931D2w41Wa/OBrFJdEjakpDZRmg5r331KbmV72VSiMaKQTY5eCnVx42TUbWnu4h3K1WriCxZe53vqMsc6jCjuxbqySeAmSjJrfIHmn2uizfuUEZ+BPX/uvP8uFm/fL5VUjcvpm6FKHz2acnoGVS5DfSVjH3pTr/69Y/qTMbijTukLj3bCVcViirjvVPjU3JFueETwExQcq38vcQR+VGpTmDN8N6G5ek9COS2Yt85cRoVyWQhS/sgi1kHmi3j87qKynjyLDEyWpZa7yrlZtoPbtzuLD/f+0lFbH2QiCwv3ravXFhqrCxAZ8OIHZyJJYub80x6yZ3y17kNVA982MgPoLnOK9BsUV+27jnpZ520D95i796/JbOMiwVqOnGcJZ89cNb6VcnAq9xM+8EpzHL8ZLXpEJtfuu3jJ+XZWnWThsmEK2v7lj3lRnF31RhxxnMWN+eZdJKrDV+/g12qzc3br50tvf4niy6x3pwDzq4Geu/fjr6vbW9szqmO6TsuhlJPlzJvPyCPya9OCHzgfZ1N8eRZcgP4Ha7zKjfTfhj6zFW479b50kNsAKbE4csOxcnOO8y5QK5odRFZfm1330cX0pv1zXkmXeTK8vfzieo2N1WJ09zXe7qLeO/UuHF4oNsNobROC4QTp8dx2brnlEE6juWrzCh6sorRv73RqE1pROe2kCk3k35wVoAyS9ldycsZEzqL2+Hekf3Y+at3mt5T7IB/RJZP253rupxLaducZ7JNrpS/iU9Utblpel2nVPyoTgjM6C6ie1rnlMnEz1ftWIN5Xfbr3HGyVYxfP5hsonrHiknfqkKBJwVFVlzGT8GnZXOeyT65cvvolswmmMRQD/SVsHPdUmxa1RvIJXT8ZBUnTo+jp7uI4yervqsIt+Wb12W/zh03tO1QkzyWzJvZFKLvXkGtGd7rG2XlHRMmfavak7DZLzK5jzPGXtt4y5TVCcNESWLKn4huIqJDRHSYiNZF8TfDKEfbRHDu3C22jFWqvieAZf57Vb6YNCmHIHKVfa+VC0vYsqfcJI97R/Zjy55yk4tsYkJgrFI1Ot8mGxMmfatKlqe6bvpd0yZDpj0gETLKJdBNiQoAfgHgBgBHAbwC4HYhxEHZ+/v7+8Xu3bsB+B8CCloDVZUmwCQHvzLFQEBM7pkURLRHCNGveM1KrsBU2bpR9WnYyCzTnPwy7h3ZL03/8SeLLtEW28lCXV6dXJl8kpTP/xoAh4UQvwYAInoSwG0AlEoCMDsEFNQnGiaGWveeGXX3jg1+ef9lmCgY73vcJ1cjUkqB5CojjjMZXmyVspPD3zkUWCDC7dfORv+l5yvHJQA+lcukkqSUfwmAe/fsKIBr/T4U5wnHMJupusyaO9cttV4ZbNlTRv+l5xt/J5NJUfYetxUbkVIKJFcZcZ3J0BVz0X1/3UShOjnuhG/yqVwmjaR2w5eI7iSi3US0+9ixYwCiSz8s29gNs1/g91nbDVnbfPomOflNCtW0Ko+/TLZebM5k2KIq5uKcz/Bu9uv2g3RVud4aq/CpXCa1JKX8ywBmu36/uH6tgRDiMSFEvxCif+bMmhskbDQPoH6QARhtxMkmDt0mnmMx2mKjHEwUjOnfC6mUfOUKyGXr7VdALo8HBhZgwwp1CUUHWUUsN7rVg1Ou8d6R2rhQTa7rtx7QVuW6qKcrkjHLMHGQlNvnFQCXE9FlqCmHzwH4vN+Hoig6rrOS/cLq/NwrsokiaHI3G+Vg4rIyzSMfUikFkquqXzesWCDd+B7oK2nPWrg3zINuHDvlGvsvPV99qExzPsM9LsOOWYaJg0QsfyHEOIC/BLANwM8BPCWEOOD3uSjC5MIsw21LHprWBPaiqjugOodg4rIyySMfVikFlWuQUpKDy+aiKDHvnUI27vfJ+mbRh2f4NatRrjHIhOiMSw7tZNJKYid8hRDPA3je9nNhTziG2dhVTRDleslAmwyQKmZ0F3HLx2c1bUYOfn8fINA4FCbboNRFrqjqG0Qc7RNIrkEmZKed7roJqtoKQPP3Hv6JWeGet8YqeGRVr3QF10Hymrulnq6mNrCyZ9JGrtI7mBDGdaRLG7x2eC/WDO+dEkeummh6uoo4PT61dCMBWL3oEjwwsEAaPSIrPOLNW2RSSCSNSijohGz6fWR1HUzzM13kUuTeAj2yP8EuHSYrpDbaJy7CLMN1Bzm9aZh1EUTrl89vasMjq3obceRRbPZmiVanrbAJu3XOXAz0lfD+6XJbqUDELh0mc7Sd5Q+YWYyyuO4xw8Na7g1k4KzLoae7CCFqqwSdm8WmyHcHES5b91xqT46a0OpslTZnBV569Wwoqkomk0LgkVW9GNp2CGuH92Jo26HGxBXHd8rCiWEm/bSl8vdDFX3SY3Fa17HInYnGpkThknkzpWkEZKiKyLi/SxYURStdUjaHxBw5joyWmyquOfR0F5tku8ZTVjKqk71cx5eJirZz+5igij45VZ1oyiapwqQAiSqixW1t2uD9e7bJ6rKMSUZWB5tkfI4ch7Ydkip+Qq3soklUVxSH6IJERjGMDFb+ElR+9Ep1MnDWSJuIljB+fPdn20VR2E5yqrBX78PglqNKJgL6eH8vTm1mk0lKBp8YZqKClb8Em7hu70qAAKxc2OzCUJVwlN0rzEEr92fbRVHYTnKyTf9Nq3rxjVW9ykAAlUxKPV1WKZ0JCLUS4xPDTFSw8pdgciDKwbsSEGh224yMlnHizHjTZzsgz/tjc3833hVHuygK3fkLv6I87oIpuiIquogk0z0E2Z6B7UosrwV9mNbDyl+CzDKc0S233GV4ldHQtkPSOP1Jw/urLMuerqI2ZLVdFIVuMotqn0MXImyyh0Ak3ywG7FZifGKYiYpEirnYoir40UpkeXpU0R/eYiy64uwmhVtk9+4qFowe+qijfaIu+hGFbE1yKMVZIMfk/gT/1N9JwsVc2g8O9VQgU5obVixoShPgTsMAyC1rXdy+idUXJg4+rad6o8TdP6p+jrLSWpD7OzLjJG9MWmDlL8Emy6SufJ/D4LK5WDu8V2r9m/rf20GJh8HpH1UWTwKk+Zeivr9qleYeF1k4d8HkH1b+Emwqhpnm1Nn9xjvYvOvNKRMAW33Ro5ponQydcStaPwXPkziTFlj5S4gjRPKBgQVGqwRbsnKCt1UM9JWaTtc6hJGfTT+zgmeyACt/CWHSPuuIWinwUX85pYjlx/3M5BEO9ZSQlRDJdjnBa0vU8uN+ZvIIW/4SotyYi9Mt0y4neG2JemM17f3Mrj8mCKz868geIG9kj+1DZuouGBkt+1akkhGXeyoP2LrY3LJ1Um+/W6nivK5i7YCWJFQrTD9HpbDZJcUEhd0+MEsMFiRDpom7YGS0jMHv7ZuSHOz4ySoGv7/P91RqVtxTaccr2+MnqxirVBtJ26Ku2BVltlV2STFBYcsfZqGdNuGfDjp3gWP5qQ4FVSdE4wHWhQ3qXg9Kmt0IcbRNJlsdBaJQKRWCjCUVti6pNMuWaS2s/GH2AAXx+6rcMud1FX3TAQBnLULdkr6dIojiaput735SiFjuF2QPwcb1p+s/pv1gtw/Msl8GyZCpcssQmRX/KBC1fEmfZjdCXG2z9d2H3VOJMtuqjesvzbJlWg8rf5g9QDYPmVNVau3wXkzv7MCM7uKUDIwmtYCLBXWd2TijTNIc2WLaNpuqXoBdCu0o9lSi3KuxyfKZZtkyrYfdPjDznZv6171L67FKFV3FAh5Z1WuUAAw4G+2jel+c0TxpjiAyaVsQ15CpXEoR+cij3qsxdf3p+u/1QHdmsgyndI4YVWIxd9pe0xTNYVI5B8XvnkmmdDbpD5P+D3uPrKL7bp+++mJO6dxmsOUfMSZLa1PLL4kskGnOPGnStrCujTR//7Dk+bsx9rDlHzFhLc+0k8ZiLm7y3v9xwcVc2g/e8I0YPniVLNz/DGNGKLcPEQ0BuBXAGQC/AvDnQoix+mt3A7gDwASA/yGE2Fa/fhOARwEUAPxvIcTGMG1IG35La9UhmzQdvhkcHMSzzz6LadOm4SMf+Qj+6Z/+CT09Pc7LHyKiw0iZXL3pGaZ3duDdStU4DUda+p5hWkUotw8R3QhghxBinIgeAgAhxF1EdCWAJwBcA+AiAC8A+MP6x34B4AYARwG8AuB2IcRB3X2y5PbRodpwW7mwJC0HmdQm4/bt27F06VJ0dnbirrvuAgA89NBDOHjwIObPn18BMAMRyBWIr4avTY3jvG7w2sBun/YjlNtHCLFdCDFe/3UXgIvrP98G4EkhxGkhxGsADqM2EVwD4LAQ4tdCiDMAnqy/ty1QHbJ54uUjqTp8c+ONN6Kzs7YoXLRoEY4ePQoAeOaZZwDgnbTJNczhJT74xLQrUfr8vwTgR/WfSwCOuF47Wr+mut4EEd1JRLuJaPexY8cibGZyqCJOkjjMZcrjjz+Om2++GQBQLpeBmovPwVquQPSyDRPhwwefmHbFV/kT0QtE9P8k/25zveceAOMANkfVMCHEY0KIfiFE/8yZM6P6s4miOihVILJ6fxRcf/31+NjHPtb0r27dAwAefPBBdHZ2YvXq1ZHeO2rZhkmXEGWqBYbJEr4bvkKI63WvE9EXAXwKwHXi7AZCGcBs19surl+D5nruGVw218rnH2eEygsvvKB9/dvf/jZ++MMf4sUXXwTVJ6dSqQQA01xvS4VcVf1q0n9hPsswWSaU26ce4fHXAJYLIU66XtoK4HNENJ2ILgNwOYCfoLYReDkRXUZE0wB8rv7etkCVh+WBgQXG+VlawY9//GN8/etfx9atW9Hd3d24vnz5cgA4P21ytclvE+VnGSbLhI32OQxgOoDf1S/tEkJ8uf7aPajtA4wDWCOE+FH9+icBbEItJPBxIcSDfvfJS7RPVvjoRz+K06dP44ILLgBQ2/T91re+BQAgojKA04hArgDLNi1wtE/7ESrOXwjxUc1rDwJoUgBCiOcBPB/mvky8HD58WPfyb2RKguXKMNmCc/sEgA8FpROWC8OYw8rfkjRXumpnWC4MYwcrf0uirL8qg63XYEQtF5YDk3dY+VsS56Egtl6DE6VcWA5MO8BZPS2J81AQpxoITpRyYTkw7QArf0viTBnMqQaCE6VcWA5MO8DK35I4DwVxqoHgRCkXlgPTDrDPPwCmBbNt4VQD4YhKLiwHph1g5Z8iuMZqOmA5MO0AK/+UEdeqgrGD5cDknUwUcCeiYwDeMHjrhQB+G3NzgpCndl0qhIgsx7ZEtmnsqzS2CYi2XZHKlUk/mVD+phDR7jQmp+J2mcNtMiet7WKyAUf7MAzDtCGs/BmGYdqQvCn/x5JugAJulzncJnPS2i4mA+TK588wDMOYkTfLn2EYhjGAlT/DMEwbkjvlT0RDRPQqEf2MiH5ARD0Jt+cmIjpERIeJaF2SbXEgotlE9BIRHSSiA0T0V0m3yYHl59ue1MqOyRa58/kT0Y0AdgghxonoIQAQQtyVUFsKAH4B4AYARwG8AuB2IcTBJNrjatcsALOEED8lonMA7AEwkHS7AJafQZtSKzsmW+TO8hdCbBdCjNd/3QXg4gSbcw2Aw0KIXwshzgB4EsBtCbYHACCEeFsI8dP6z78H8HMAqchlwPLTk2bZMdkid8rfw5cA/CjB+5cAHHH9fhQpe1CJaA6APgAvJ9sSKSw/DSmXHZNyMpnYjYheAPAhyUv3CCGeqb/nHgDjADa3sm1Zgog+AGALgDVCiP9q4X1ZfiFJSnZMfsik8hdCXK97nYi+COBTAK4TyW5qlAHMdv1+cf1a4hBRETXlsVkI8XQr783yC0eSsmPyQx43fG8C8A0AfySEOJZwWzpR2zC8DjWl8QqAzwshDiTcLgLwzwDeEUKsSbItXlh+vm1KreyYbJFH5X8YwHQAv6tf2iWE+HKC7fkkgE0ACgAeF0I8mFRbHIjoEwD+DcB+AJP1y38jhHg+uVbVYPn5tie1smOyRe6UP8MwDONP3qN9GIZhGAms/BmGYdoQVv4MwzBtCCt/hmGYNoSVP8MwTBvCyp9hGKYNYeXPMAzThvx/MP0elgFNSCcAAAAASUVORK5CYII=\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "# from keras import metrics\n", - "# from tensorflow.keras import layers\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense\n", - "# Passing a list of layers to the constructor\n", - "model = Sequential([\n", - " Dense(5, activation='relu', input_shape=(5,),name=\"layer1\"),\n", - " Dense(5,activation='relu', name=\"layer2\"),\n", - " Dense(1, name=\"layer3\"),\n", - "])\n", - "model.summary()\n", - "epochs = 100\n", - "\n", - "model.compile(\n", - " optimizer= tf.keras.optimizers.SGD(learning_rate=0.001),\n", - " loss='mean_squared_error'\n", - " \n", - " )\n", - "result = model.fit(X_train, y_train,batch_size=32, epochs=epochs,validation_data=(X_test, y_test),shuffle=True)\n", - "model.evaluate(X_test, y_test)" - ], - "metadata": { - "id": "r32N1xK2ziOs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "191d5c45-b210-4baf-ace7-af341baa41da" - }, - "execution_count": 92, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_32\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " layer1 (Dense) (None, 5) 30 \n", - " \n", - " layer2 (Dense) (None, 5) 30 \n", - " \n", - " layer3 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 66\n", - "Trainable params: 66\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "Epoch 1/100\n", - "3/3 [==============================] - 1s 111ms/step - loss: 11516.9189 - val_loss: 11503.2100\n", - "Epoch 2/100\n", - "3/3 [==============================] - 0s 26ms/step - loss: 11440.6377 - val_loss: 11318.1406\n", - "Epoch 3/100\n", - "3/3 [==============================] - 0s 21ms/step - loss: 11240.9502 - val_loss: 10619.1611\n", - "Epoch 4/100\n", - "3/3 [==============================] - 0s 22ms/step - loss: 10340.6162 - val_loss: 6182.2310\n", - "Epoch 5/100\n", - "3/3 [==============================] - 0s 25ms/step - loss: 6803.3462 - val_loss: 3410.0425\n", - "Epoch 6/100\n", - "3/3 [==============================] - 0s 33ms/step - loss: 5291.2632 - val_loss: 3197.8906\n", - "Epoch 7/100\n", - "3/3 [==============================] - 0s 28ms/step - loss: 4959.4741 - val_loss: 2799.1868\n", - "Epoch 8/100\n", - "3/3 [==============================] - 0s 26ms/step - loss: 3993.8657 - val_loss: 1184.4026\n", - "Epoch 9/100\n", - "3/3 [==============================] - 0s 27ms/step - loss: 1298.4149 - val_loss: 661.6617\n", - "Epoch 10/100\n", - "3/3 [==============================] - 0s 27ms/step - loss: 987.8172 - val_loss: 1997.5098\n", - "Epoch 11/100\n", - "3/3 [==============================] - 0s 29ms/step - loss: 1692.7625 - val_loss: 357.3246\n", - "Epoch 12/100\n", - "3/3 [==============================] - 0s 38ms/step - loss: 228.9827 - val_loss: 175.3550\n", - "Epoch 13/100\n", - "3/3 [==============================] - 0s 27ms/step - loss: 167.0820 - val_loss: 273.9441\n", - "Epoch 14/100\n", - "3/3 [==============================] - 0s 30ms/step - loss: 256.3285 - val_loss: 184.8892\n", - "Epoch 15/100\n", - "3/3 [==============================] - 0s 33ms/step - loss: 233.2034 - val_loss: 127.0707\n", - "Epoch 16/100\n", - "3/3 [==============================] - 0s 24ms/step - loss: 169.3871 - val_loss: 173.2648\n", - "Epoch 17/100\n", - "3/3 [==============================] - 0s 25ms/step - loss: 99.1200 - val_loss: 181.5815\n", - "Epoch 18/100\n", - "3/3 [==============================] - 0s 48ms/step - loss: 113.0477 - val_loss: 196.6878\n", - "Epoch 19/100\n", - "3/3 [==============================] - 0s 27ms/step - loss: 72.0310 - val_loss: 115.6032\n", - "Epoch 20/100\n", - "3/3 [==============================] - 0s 20ms/step - loss: 105.6109 - val_loss: 76.9739\n", - "Epoch 21/100\n", - "3/3 [==============================] - 0s 24ms/step - loss: 52.0212 - val_loss: 76.4961\n", - "Epoch 22/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 44.4487 - val_loss: 72.1403\n", - "Epoch 23/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 64.2443 - val_loss: 78.5854\n", - "Epoch 24/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 38.9532 - val_loss: 60.4772\n", - "Epoch 25/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 37.8514 - val_loss: 56.6966\n", - "Epoch 26/100\n", - "3/3 [==============================] - 0s 41ms/step - loss: 34.6592 - val_loss: 66.1162\n", - "Epoch 27/100\n", - "3/3 [==============================] - 0s 19ms/step - loss: 39.2192 - val_loss: 63.3450\n", - "Epoch 28/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 55.5428 - val_loss: 135.1205\n", - "Epoch 29/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 91.8473 - val_loss: 107.3810\n", - "Epoch 30/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 58.0938 - val_loss: 70.8282\n", - "Epoch 31/100\n", - "3/3 [==============================] - 0s 35ms/step - loss: 74.3456 - val_loss: 358.6577\n", - "Epoch 32/100\n", - "3/3 [==============================] - 0s 24ms/step - loss: 157.8669 - val_loss: 149.4631\n", - "Epoch 33/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 186.6589 - val_loss: 84.2538\n", - "Epoch 34/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 38.3369 - val_loss: 71.1311\n", - "Epoch 35/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 56.4880 - val_loss: 71.0532\n", - "Epoch 36/100\n", - "3/3 [==============================] - 0s 27ms/step - loss: 48.3556 - val_loss: 54.0798\n", - "Epoch 37/100\n", - "3/3 [==============================] - 0s 23ms/step - loss: 35.1062 - val_loss: 40.8745\n", - "Epoch 38/100\n", - "3/3 [==============================] - 0s 19ms/step - loss: 36.6426 - val_loss: 39.7994\n", - "Epoch 39/100\n", - "3/3 [==============================] - 0s 22ms/step - loss: 32.4699 - val_loss: 40.9520\n", - "Epoch 40/100\n", - "3/3 [==============================] - 0s 25ms/step - loss: 24.9985 - val_loss: 71.1445\n", - "Epoch 41/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 75.0987 - val_loss: 44.1843\n", - "Epoch 42/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 31.9066 - val_loss: 45.3355\n", - "Epoch 43/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 30.8323 - val_loss: 35.9122\n", - "Epoch 44/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 31.5209 - val_loss: 40.9180\n", - "Epoch 45/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 38.4605 - val_loss: 126.2278\n", - "Epoch 46/100\n", - "3/3 [==============================] - 0s 19ms/step - loss: 104.6024 - val_loss: 53.7737\n", - "Epoch 47/100\n", - "3/3 [==============================] - 0s 23ms/step - loss: 37.0445 - val_loss: 34.0136\n", - "Epoch 48/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 24.9673 - val_loss: 48.4079\n", - "Epoch 49/100\n", - "3/3 [==============================] - 0s 11ms/step - loss: 34.1834 - val_loss: 31.9955\n", - "Epoch 50/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 25.7527 - val_loss: 49.9455\n", - "Epoch 51/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 28.5729 - val_loss: 70.3562\n", - "Epoch 52/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 80.5541 - val_loss: 40.1956\n", - "Epoch 53/100\n", - "3/3 [==============================] - 0s 29ms/step - loss: 26.9379 - val_loss: 43.2332\n", - "Epoch 54/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 39.2296 - val_loss: 42.2518\n", - "Epoch 55/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 36.9290 - val_loss: 112.8334\n", - "Epoch 56/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 131.6131 - val_loss: 222.6491\n", - "Epoch 57/100\n", - "3/3 [==============================] - 0s 18ms/step - loss: 131.7546 - val_loss: 40.4035\n", - "Epoch 58/100\n", - "3/3 [==============================] - 0s 24ms/step - loss: 34.8064 - val_loss: 105.2461\n", - "Epoch 59/100\n", - "3/3 [==============================] - 0s 23ms/step - loss: 88.0185 - val_loss: 55.1862\n", - "Epoch 60/100\n", - "3/3 [==============================] - 0s 19ms/step - loss: 31.3134 - val_loss: 41.8221\n", - "Epoch 61/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 26.5213 - val_loss: 38.6571\n", - "Epoch 62/100\n", - "3/3 [==============================] - 0s 25ms/step - loss: 21.4029 - val_loss: 48.7201\n", - "Epoch 63/100\n", - "3/3 [==============================] - 0s 18ms/step - loss: 23.3550 - val_loss: 60.3817\n", - "Epoch 64/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 30.8728 - val_loss: 38.1348\n", - "Epoch 65/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 34.7396 - val_loss: 32.3781\n", - "Epoch 66/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 31.7474 - val_loss: 38.8748\n", - "Epoch 67/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 25.2433 - val_loss: 27.8547\n", - "Epoch 68/100\n", - "3/3 [==============================] - 0s 34ms/step - loss: 20.8097 - val_loss: 41.4676\n", - "Epoch 69/100\n", - "3/3 [==============================] - 0s 18ms/step - loss: 26.8814 - val_loss: 37.0821\n", - "Epoch 70/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 24.5036 - val_loss: 30.1370\n", - "Epoch 71/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 26.3705 - val_loss: 53.9378\n", - "Epoch 72/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 47.0223 - val_loss: 34.3087\n", - "Epoch 73/100\n", - "3/3 [==============================] - 0s 18ms/step - loss: 21.2572 - val_loss: 31.2857\n", - "Epoch 74/100\n", - "3/3 [==============================] - 0s 20ms/step - loss: 23.6433 - val_loss: 54.5654\n", - "Epoch 75/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 36.3178 - val_loss: 92.3237\n", - "Epoch 76/100\n", - "3/3 [==============================] - 0s 19ms/step - loss: 54.2493 - val_loss: 139.8737\n", - "Epoch 77/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 43.7143 - val_loss: 114.9304\n", - "Epoch 78/100\n", - "3/3 [==============================] - 0s 21ms/step - loss: 54.3719 - val_loss: 62.9883\n", - "Epoch 79/100\n", - "3/3 [==============================] - 0s 18ms/step - loss: 23.3698 - val_loss: 36.2838\n", - "Epoch 80/100\n", - "3/3 [==============================] - 0s 23ms/step - loss: 53.0357 - val_loss: 54.2586\n", - "Epoch 81/100\n", - "3/3 [==============================] - 0s 18ms/step - loss: 44.6238 - val_loss: 37.4935\n", - "Epoch 82/100\n", - "3/3 [==============================] - 0s 40ms/step - loss: 29.7298 - val_loss: 37.5946\n", - "Epoch 83/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 29.8525 - val_loss: 99.0279\n", - "Epoch 84/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 53.0351 - val_loss: 130.3247\n", - "Epoch 85/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 66.3310 - val_loss: 66.5714\n", - "Epoch 86/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 68.9418 - val_loss: 150.7304\n", - "Epoch 87/100\n", - "3/3 [==============================] - 0s 21ms/step - loss: 85.4103 - val_loss: 113.3159\n", - "Epoch 88/100\n", - "3/3 [==============================] - 0s 23ms/step - loss: 145.3408 - val_loss: 71.9694\n", - "Epoch 89/100\n", - "3/3 [==============================] - 0s 19ms/step - loss: 51.1911 - val_loss: 188.4016\n", - "Epoch 90/100\n", - "3/3 [==============================] - 0s 18ms/step - loss: 111.3606 - val_loss: 37.2039\n", - "Epoch 91/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 26.9047 - val_loss: 38.7781\n", - "Epoch 92/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 26.7194 - val_loss: 31.3244\n", - "Epoch 93/100\n", - "3/3 [==============================] - 0s 18ms/step - loss: 21.5729 - val_loss: 32.5928\n", - "Epoch 94/100\n", - "3/3 [==============================] - 0s 22ms/step - loss: 21.5465 - val_loss: 30.4768\n", - "Epoch 95/100\n", - "3/3 [==============================] - 0s 22ms/step - loss: 22.9332 - val_loss: 56.5814\n", - "Epoch 96/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 29.1292 - val_loss: 37.9903\n", - "Epoch 97/100\n", - "3/3 [==============================] - 0s 19ms/step - loss: 22.2391 - val_loss: 38.8860\n", - "Epoch 98/100\n", - "3/3 [==============================] - 0s 18ms/step - loss: 20.7043 - val_loss: 29.1970\n", - "Epoch 99/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 23.9269 - val_loss: 54.5341\n", - "Epoch 100/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 55.7858 - val_loss: 130.7705\n", - "1/1 [==============================] - 0s 27ms/step - loss: 130.7705\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "130.77047729492188" - ] - }, - "metadata": {}, - "execution_count": 92 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "\n", - "plt.plot(result.history['loss'])\n", - "plt.plot(result.history['val_loss'])\n", - "plt.title('Model loss')\n", - "plt.ylabel('loss')\n", - "plt.xlabel('Epoch')\n", - "plt.legend(['Train', 'Test'], loc='upper left')\n", - "plt.show()" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 295 - }, - "outputId": "29c153fd-e562-48d7-d0cd-395c0ac989f9" - }, - "execution_count": 94, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "from sklearn.metrics import r2_score\n", - "y_pred = model.predict(X_test)\n", - "accu = r2_score(y_test,y_pred)\n", - "print(\"Accuracy:\", accu)" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "7df336b6-f07d-4263-d758-47dfe6a34532" - }, - "execution_count": 95, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9871431868609025\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "Your text here" - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "#CUSTOM MODEL\n", - "my_model = Sequential([\n", - " Dense(5, activation='relu', input_shape=(5,),name=\"layer1\"),\n", - " Dense(5,activation='relu', name=\"layer2\"),\n", - " Dense(3,activation='relu', name=\"layer3\"),\n", - " Dense(1, name=\"layer4\")\n", - "])\n", - "my_model.summary()\n", - "\n", - "def custom_loss_function(y_true, y_pred):\n", - " squared_difference = tf.square(y_true - y_pred)\n", - " return tf.reduce_mean(squared_difference, axis=-1)\n", - "my_model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=0.01), loss=custom_loss_function)\n", - "my_result = my_model.fit(X_train, y_train,validation_data=(X_test, y_test),batch_size= 32,epochs=100)\n", - "my_model.evaluate(X_test, y_test)" - ], - "metadata": { - "id": "1XOk5hJu0oSQ", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "93303a7c-bef4-4c25-ee6f-9c8291800db1" - }, - "execution_count": 98, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_34\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " layer1 (Dense) (None, 5) 30 \n", - " \n", - " layer2 (Dense) (None, 5) 30 \n", - " \n", - " layer3 (Dense) (None, 3) 18 \n", - " \n", - " layer4 (Dense) (None, 1) 4 \n", - " \n", - "=================================================================\n", - "Total params: 82\n", - "Trainable params: 82\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "Epoch 1/100\n", - "3/3 [==============================] - 1s 139ms/step - loss: 11509.8047 - val_loss: 11586.3730\n", - "Epoch 2/100\n", - "3/3 [==============================] - 0s 35ms/step - loss: 11504.2480 - val_loss: 11579.1543\n", - "Epoch 3/100\n", - "3/3 [==============================] - 0s 22ms/step - loss: 11498.8281 - val_loss: 11570.6348\n", - "Epoch 4/100\n", - "3/3 [==============================] - 0s 23ms/step - loss: 11491.8662 - val_loss: 11560.0029\n", - "Epoch 5/100\n", - "3/3 [==============================] - 0s 22ms/step - loss: 11483.9668 - val_loss: 11544.3252\n", - "Epoch 6/100\n", - "3/3 [==============================] - 0s 25ms/step - loss: 11470.0527 - val_loss: 11522.4688\n", - "Epoch 7/100\n", - "3/3 [==============================] - 0s 18ms/step - loss: 11452.9375 - val_loss: 11493.5430\n", - "Epoch 8/100\n", - "3/3 [==============================] - 0s 21ms/step - loss: 11430.4844 - val_loss: 11454.3389\n", - "Epoch 9/100\n", - "3/3 [==============================] - 0s 24ms/step - loss: 11401.8359 - val_loss: 11402.2568\n", - "Epoch 10/100\n", - "3/3 [==============================] - 0s 21ms/step - loss: 11361.2744 - val_loss: 11336.8418\n", - "Epoch 11/100\n", - "3/3 [==============================] - 0s 30ms/step - loss: 11305.1250 - val_loss: 11256.4199\n", - "Epoch 12/100\n", - "3/3 [==============================] - 0s 23ms/step - loss: 11230.9951 - val_loss: 11150.4170\n", - "Epoch 13/100\n", - "3/3 [==============================] - 0s 22ms/step - loss: 11151.3271 - val_loss: 11006.5488\n", - "Epoch 14/100\n", - "3/3 [==============================] - 0s 24ms/step - loss: 11021.0527 - val_loss: 10825.7100\n", - "Epoch 15/100\n", - "3/3 [==============================] - 0s 23ms/step - loss: 10875.3516 - val_loss: 10588.9434\n", - "Epoch 16/100\n", - "3/3 [==============================] - 0s 22ms/step - loss: 10685.5703 - val_loss: 10287.7568\n", - "Epoch 17/100\n", - "3/3 [==============================] - 0s 30ms/step - loss: 10408.3721 - val_loss: 9919.8105\n", - "Epoch 18/100\n", - "3/3 [==============================] - 0s 20ms/step - loss: 10141.1143 - val_loss: 9479.9453\n", - "Epoch 19/100\n", - "3/3 [==============================] - 0s 19ms/step - loss: 9769.9316 - val_loss: 8964.3076\n", - "Epoch 20/100\n", - "3/3 [==============================] - 0s 19ms/step - loss: 9314.1426 - val_loss: 8367.0527\n", - "Epoch 21/100\n", - "3/3 [==============================] - 0s 21ms/step - loss: 8852.8779 - val_loss: 7693.7764\n", - "Epoch 22/100\n", - "3/3 [==============================] - 0s 36ms/step - loss: 8308.2988 - val_loss: 6964.2705\n", - "Epoch 23/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 7699.7314 - val_loss: 6201.9492\n", - "Epoch 24/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 7072.4111 - val_loss: 5459.4287\n", - "Epoch 25/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 6565.3140 - val_loss: 4771.7939\n", - "Epoch 26/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 5977.8281 - val_loss: 4226.4795\n", - "Epoch 27/100\n", - "3/3 [==============================] - 0s 21ms/step - loss: 5565.3232 - val_loss: 3825.5488\n", - 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loss: 548.2288 - val_loss: 528.8716\n", - "Epoch 54/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 505.6310 - val_loss: 542.1063\n", - "Epoch 55/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 466.9241 - val_loss: 547.4818\n", - "Epoch 56/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 431.1199 - val_loss: 550.2665\n", - "Epoch 57/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 399.5246 - val_loss: 554.5236\n", - "Epoch 58/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 372.5771 - val_loss: 558.7906\n", - "Epoch 59/100\n", - "3/3 [==============================] - 0s 26ms/step - loss: 347.6184 - val_loss: 560.9785\n", - "Epoch 60/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 339.1025 - val_loss: 561.3337\n", - "Epoch 61/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 327.5766 - val_loss: 548.5934\n", - "Epoch 62/100\n", - "3/3 [==============================] - 0s 23ms/step - loss: 309.8559 - val_loss: 544.0731\n", - "Epoch 63/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 302.5692 - val_loss: 539.1755\n", - "Epoch 64/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 285.5876 - val_loss: 524.9002\n", - "Epoch 65/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 274.6292 - val_loss: 515.7844\n", - "Epoch 66/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 263.9766 - val_loss: 506.8965\n", - "Epoch 67/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 256.1554 - val_loss: 501.3705\n", - "Epoch 68/100\n", - "3/3 [==============================] - 0s 22ms/step - loss: 246.6815 - val_loss: 494.7025\n", - "Epoch 69/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 240.2110 - val_loss: 493.2588\n", - "Epoch 70/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 230.6413 - val_loss: 484.3612\n", - "Epoch 71/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 222.1704 - val_loss: 472.8805\n", - "Epoch 72/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 218.8834 - val_loss: 462.3520\n", - "Epoch 73/100\n", - "3/3 [==============================] - 0s 19ms/step - loss: 218.9699 - val_loss: 454.3741\n", - "Epoch 74/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 206.9532 - val_loss: 447.8719\n", - "Epoch 75/100\n", - "3/3 [==============================] - 0s 24ms/step - loss: 201.5818 - val_loss: 442.7237\n", - "Epoch 76/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 196.0259 - val_loss: 432.8144\n", - "Epoch 77/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 193.3255 - val_loss: 425.4892\n", - "Epoch 78/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 190.7289 - val_loss: 421.2609\n", - "Epoch 79/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 186.9183 - val_loss: 418.0838\n", - "Epoch 80/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 185.0233 - val_loss: 420.9575\n", - "Epoch 81/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 180.1646 - val_loss: 416.6638\n", - "Epoch 82/100\n", - "3/3 [==============================] - 0s 15ms/step - loss: 176.3993 - val_loss: 413.4862\n", - "Epoch 83/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 173.4145 - val_loss: 413.7818\n", - "Epoch 84/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 170.5916 - val_loss: 421.3502\n", - "Epoch 85/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 168.4367 - val_loss: 418.7270\n", - "Epoch 86/100\n", - "3/3 [==============================] - 0s 16ms/step - loss: 165.1712 - val_loss: 417.4282\n", - "Epoch 87/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 162.3290 - val_loss: 410.7211\n", - "Epoch 88/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 159.9114 - val_loss: 406.4454\n", - "Epoch 89/100\n", - "3/3 [==============================] - 0s 17ms/step - loss: 158.1710 - val_loss: 401.5418\n", - "Epoch 90/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 154.1513 - val_loss: 401.5791\n", - "Epoch 91/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 151.9854 - val_loss: 401.6361\n", - "Epoch 92/100\n", - "3/3 [==============================] - 0s 23ms/step - loss: 152.6230 - val_loss: 395.6238\n", - "Epoch 93/100\n", - "3/3 [==============================] - 0s 23ms/step - loss: 154.2257 - val_loss: 384.2067\n", - "Epoch 94/100\n", - "3/3 [==============================] - 0s 20ms/step - loss: 147.7221 - val_loss: 381.6778\n", - "Epoch 95/100\n", - "3/3 [==============================] - 0s 12ms/step - loss: 146.2921 - val_loss: 375.9330\n", - "Epoch 96/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 143.8396 - val_loss: 370.8116\n", - "Epoch 97/100\n", - "3/3 [==============================] - 0s 13ms/step - loss: 146.0209 - val_loss: 368.6269\n", - "Epoch 98/100\n", - "3/3 [==============================] - 0s 19ms/step - loss: 144.8109 - val_loss: 380.3648\n", - "Epoch 99/100\n", - "3/3 [==============================] - 0s 22ms/step - loss: 145.1968 - val_loss: 379.1917\n", - "Epoch 100/100\n", - "3/3 [==============================] - 0s 14ms/step - loss: 140.5494 - val_loss: 370.1602\n", - "1/1 [==============================] - 0s 19ms/step - loss: 370.1602\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "370.1602478027344" - ] - }, - "metadata": {}, - "execution_count": 98 - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(my_result.history['loss'])\n", - "plt.plot(my_result.history['val_loss'])\n", - "plt.title('Model loss')\n", - "plt.ylabel('loss')\n", - "plt.xlabel('Epoch')\n", - "plt.legend(['Train_loss', 'Test_loss'], loc='upper left')\n", - "plt.show()" - ], - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 295 - }, - "outputId": "259b44e7-f782-42cf-8f93-3e5c049f10f4" - }, - "execution_count": 99, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "from sklearn.metrics import r2_score\n", - "y_pred = my_model.predict(X_test)\n", - "accuracy = r2_score(y_test,y_pred)\n", - "print(\"Accuracy:\", accuracy)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Gul0PqCFPvDB", - "outputId": "24da3813-8989-49a1-d1fe-e3a9264d41c6" - }, - "execution_count": 100, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.96360738599422\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_201140.ipynb b/Assignment 2/A2_201140.ipynb deleted file mode 100644 index d3781f4..0000000 --- a/Assignment 2/A2_201140.ipynb +++ /dev/null @@ -1,532 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "UxcaEbrCy1g_" - }, - "source": [ - "# Assigment 2: Deep Learning" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "h2JON-_Oy79w" - }, - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r6it-Rm7zD1Y" - }, - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "UautPVj1yzaQ", - "outputId": "a1b92ad1-da27-4eba-93a6-28f214a97b9f" - }, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.scatter(X[:,0],y)\n", - "plt.title(\"With respect to feature 0\")\n", - "plt.show()\n", - "# Your code here" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "9QDqu98yMazZ", - "outputId": "d67dff51-be25-42d8-8670-fe497169b44b" - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.scatter(X[:,1],y)\n", - "plt.title(\"With respect to feature 1\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "XMXb9lTyzGHE" - }, - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "id": "r32N1xK2ziOs" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "\n", - "model = keras.Sequential([\n", - " keras.layers.Dense(5,input_dim=5,activation='relu'),\n", - " keras.layers.Dense(5,activation='relu'),\n", - " keras.layers.Dense(1)\n", - "])\n", - "\n", - "model.compile(loss='mean_squared_error',optimizer = tf.keras.optimizers.SGD(0.001))" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/50\n", - "2/2 - 0s - loss: 12589.5371 - val_loss: 7192.1167 - 386ms/epoch - 193ms/step\n", - "Epoch 2/50\n", - "2/2 - 0s - loss: 12587.8574 - val_loss: 7188.9263 - 21ms/epoch - 11ms/step\n", - "Epoch 3/50\n", - "2/2 - 0s - loss: 12587.1953 - val_loss: 7185.6279 - 24ms/epoch - 12ms/step\n", - "Epoch 4/50\n", - "2/2 - 0s - loss: 12585.3613 - val_loss: 7181.9673 - 21ms/epoch - 10ms/step\n", - "Epoch 5/50\n", - "2/2 - 0s - loss: 12582.4033 - val_loss: 7178.1099 - 34ms/epoch - 17ms/step\n", - "Epoch 6/50\n", - "2/2 - 0s - loss: 12580.2090 - val_loss: 7174.0361 - 18ms/epoch - 9ms/step\n", - "Epoch 7/50\n", - "2/2 - 0s - loss: 12577.6582 - val_loss: 7168.8735 - 23ms/epoch - 11ms/step\n", - "Epoch 8/50\n", - "2/2 - 0s - loss: 12574.9316 - val_loss: 7161.2402 - 18ms/epoch - 9ms/step\n", - "Epoch 9/50\n", - "2/2 - 0s - loss: 12568.5869 - val_loss: 7148.6279 - 32ms/epoch - 16ms/step\n", - "Epoch 10/50\n", - "2/2 - 0s - loss: 12557.4258 - val_loss: 7122.5464 - 29ms/epoch - 14ms/step\n", - "Epoch 11/50\n", - "2/2 - 0s - loss: 12535.1035 - val_loss: 7073.7344 - 28ms/epoch - 14ms/step\n", - "Epoch 12/50\n", - "2/2 - 0s - loss: 12488.7881 - val_loss: 6985.0308 - 32ms/epoch - 16ms/step\n", - "Epoch 13/50\n", - "2/2 - 0s - loss: 12403.1162 - val_loss: 6777.4609 - 29ms/epoch - 14ms/step\n", - "Epoch 14/50\n", - "2/2 - 0s - loss: 12136.4492 - val_loss: 6138.4023 - 25ms/epoch - 13ms/step\n", - "Epoch 15/50\n", - "2/2 - 0s - loss: 11348.9824 - val_loss: 4028.6375 - 23ms/epoch - 11ms/step\n", - "Epoch 16/50\n", - "2/2 - 0s - loss: 8545.8906 - val_loss: 2134.0835 - 26ms/epoch - 13ms/step\n", - "Epoch 17/50\n", - "2/2 - 0s - loss: 6610.4858 - val_loss: 1750.1047 - 20ms/epoch - 10ms/step\n", - "Epoch 18/50\n", - "2/2 - 0s - loss: 6306.6001 - val_loss: 1622.3274 - 27ms/epoch - 14ms/step\n", - "Epoch 19/50\n", - "2/2 - 0s - loss: 6287.3413 - val_loss: 1622.7261 - 24ms/epoch - 12ms/step\n", - "Epoch 20/50\n", - "2/2 - 0s - loss: 6320.4199 - val_loss: 1577.0903 - 22ms/epoch - 11ms/step\n", - "Epoch 21/50\n", - "2/2 - 0s - loss: 6194.4072 - val_loss: 1558.4470 - 18ms/epoch - 9ms/step\n", - "Epoch 22/50\n", - "2/2 - 0s - loss: 6155.9170 - val_loss: 1576.7386 - 23ms/epoch - 12ms/step\n", - "Epoch 23/50\n", - "2/2 - 0s - loss: 6167.2148 - val_loss: 1594.8314 - 25ms/epoch - 12ms/step\n", - "Epoch 24/50\n", - "2/2 - 0s - loss: 6155.8247 - val_loss: 1579.1416 - 19ms/epoch - 9ms/step\n", - "Epoch 25/50\n", - "2/2 - 0s - loss: 6126.1211 - val_loss: 1616.5679 - 24ms/epoch - 12ms/step\n", - "Epoch 26/50\n", - "2/2 - 0s - loss: 6165.9458 - val_loss: 1588.9893 - 19ms/epoch - 10ms/step\n", - "Epoch 27/50\n", - "2/2 - 0s - loss: 6085.4219 - val_loss: 1529.8082 - 20ms/epoch - 10ms/step\n", - "Epoch 28/50\n", - "2/2 - 0s - loss: 6041.1382 - val_loss: 1511.9375 - 22ms/epoch - 11ms/step\n", - "Epoch 29/50\n", - "2/2 - 0s - loss: 6013.7769 - val_loss: 1514.6583 - 18ms/epoch - 9ms/step\n", - "Epoch 30/50\n", - "2/2 - 0s - loss: 5999.8608 - val_loss: 1507.7122 - 19ms/epoch - 9ms/step\n", - "Epoch 31/50\n", - "2/2 - 0s - loss: 5988.0151 - val_loss: 1498.3976 - 23ms/epoch - 11ms/step\n", - "Epoch 32/50\n", - "2/2 - 0s - loss: 5973.1709 - val_loss: 1494.1770 - 18ms/epoch - 9ms/step\n", - "Epoch 33/50\n", - "2/2 - 0s - loss: 5960.7100 - val_loss: 1487.5981 - 20ms/epoch - 10ms/step\n", - "Epoch 34/50\n", - "2/2 - 0s - loss: 5948.1836 - val_loss: 1480.7861 - 23ms/epoch - 11ms/step\n", - "Epoch 35/50\n", - "2/2 - 0s - loss: 5935.2109 - val_loss: 1470.7999 - 22ms/epoch - 11ms/step\n", - "Epoch 36/50\n", - "2/2 - 0s - loss: 5925.9121 - val_loss: 1465.0667 - 22ms/epoch - 11ms/step\n", - "Epoch 37/50\n", - "2/2 - 0s - loss: 5922.7041 - val_loss: 1473.5513 - 20ms/epoch - 10ms/step\n", - "Epoch 38/50\n", - "2/2 - 0s - loss: 5922.6631 - val_loss: 1455.2720 - 17ms/epoch - 9ms/step\n", - "Epoch 39/50\n", - "2/2 - 0s - loss: 5905.3501 - val_loss: 1448.3048 - 20ms/epoch - 10ms/step\n", - "Epoch 40/50\n", - "2/2 - 0s - loss: 5912.4126 - val_loss: 1488.0762 - 31ms/epoch - 16ms/step\n", - "Epoch 41/50\n", - "2/2 - 0s - loss: 5911.4316 - val_loss: 1464.3029 - 27ms/epoch - 14ms/step\n", - "Epoch 42/50\n", - "2/2 - 0s - loss: 5873.4702 - val_loss: 1431.9836 - 19ms/epoch - 9ms/step\n", - "Epoch 43/50\n", - "2/2 - 0s - loss: 5842.3867 - val_loss: 1448.8427 - 21ms/epoch - 11ms/step\n", - "Epoch 44/50\n", - "2/2 - 0s - loss: 5838.8091 - val_loss: 1437.7830 - 20ms/epoch - 10ms/step\n", - "Epoch 45/50\n", - "2/2 - 0s - loss: 5816.0752 - val_loss: 1413.5945 - 19ms/epoch - 10ms/step\n", - "Epoch 46/50\n", - "2/2 - 0s - loss: 5802.9258 - val_loss: 1420.3572 - 20ms/epoch - 10ms/step\n", - "Epoch 47/50\n", - "2/2 - 0s - loss: 5810.5479 - val_loss: 1467.0089 - 21ms/epoch - 11ms/step\n", - "Epoch 48/50\n", - "2/2 - 0s - loss: 5800.1553 - val_loss: 1429.8993 - 20ms/epoch - 10ms/step\n", - "Epoch 49/50\n", - "2/2 - 0s - loss: 5777.9468 - val_loss: 1410.1036 - 19ms/epoch - 9ms/step\n", - "Epoch 50/50\n", - "2/2 - 0s - loss: 5766.3584 - val_loss: 1390.5581 - 23ms/epoch - 12ms/step\n" - ] - } - ], - "source": [ - "history =model.fit(X_train,y_train,epochs=50,validation_split = 0.2,verbose=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1/1 [==============================] - 0s 57ms/step\n" - ] - } - ], - "source": [ - "predictions = model.predict(X_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jmeP6vt3z0oA" - }, - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label='val_loss')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IVrR_vXA7kOt" - }, - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "id": "-lOHpD8-7ggm" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MSE: 2985.3448681960717\n", - "Accuracy: 0.7064932493968725\n" - ] - } - ], - "source": [ - "# Insert the function for R2 Score\n", - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " return ((y_true-y_pred)**2).mean()\n", - " # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " y_mean = y_true.mean()\n", - " return 1-(((y_true - y_pred)**2).mean())/(((y_true - y_mean)**2).mean())\n", - " # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test, predictions.flatten()) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test, predictions.flatten()) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "CHqzF1OU0pBg" - }, - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jF8oTUqq0y0g" - }, - "source": [ - "Your text here" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "outputs": [], - "source": [ - "# Your code here" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "id": "aS0ROZa402Lo" - }, - "outputs": [], - "source": [ - "custom_model = keras.Sequential([\n", - " keras.layers.Dense(10,input_dim=5,activation='relu'),\n", - " keras.layers.Dense(5,activation='relu'),\n", - " keras.layers.Dense(1)\n", - "])\n", - "\n", - "custom_model.compile(loss='mean_squared_error',optimizer = tf.keras.optimizers.RMSprop(0.01))" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "history_custom = custom_model.fit(X_train,y_train,epochs=500,validation_split = 0.2,verbose=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(history_custom.history['loss'], label='loss')\n", - "plt.plot(history_custom.history['val_loss'], label='val_loss')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MSE: 2985.3448681960717\n", - "Accuracy: 0.7064932493968725\n" - ] - } - ], - "source": [ - "def mean_squared_error(y_true, y_pred):\n", - " # return the mean squared error\n", - " return ((y_true-y_pred)**2).mean()\n", - " # Uncomment this when you're done with this function\n", - "\n", - "\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " y_mean = y_true.mean()\n", - " return 1-(((y_true - y_pred)**2).mean())/(((y_true - y_mean)**2).mean())\n", - " # Uncomment this when you're done with this function\n", - " \n", - "\n", - "mse = mean_squared_error(y_test, predictions.flatten()) # Pass appropriate parts of dataset\n", - "print(\"MSE:\", mse)\n", - "\n", - "accu = r2_score(y_test, predictions.flatten()) # Pass appropriate parts of dataset\n", - "print(\"Accuracy:\", accu)\n" - ] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "Copy of CVusingTF_Assgn2.ipynb", - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/Assignment 2/A2_201168.ipynb b/Assignment 2/A2_201168.ipynb deleted file mode 100644 index d72a4f4..0000000 --- a/Assignment 2/A2_201168.ipynb +++ /dev/null @@ -1,810 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CVusingTF_Assgn2.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code here \n", - "plt.scatter(X[:,0],y)" - ], - "metadata": { - "id": "UautPVj1yzaQ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "outputId": "0031cff2-ba57-4081-b550-df701d0c19c1" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 34 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf \n", - "from tensorflow import keras\n", - "\n", - "model = keras.Sequential([\n", - "\n", - " keras.layers.Dense(5,input_dim=5, activation='relu'),\n", - " keras.layers.Dense(5, activation='relu'), \n", - " keras.layers.Dense(1)\n", - "\n", - " \n", - "]) \n", - "\n", - "model.compile( loss='mean_squared_error',optimizer= tf.keras.optimizers.SGD(0.001)) \n" - ], - "metadata": { - "id": "r32N1xK2ziOs" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "uiOKz0GLIM6S", - "outputId": "51a25c11-fe7a-47b8-ca54-8152e2deffed" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_12\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " dense_37 (Dense) (None, 5) 30 \n", - " \n", - " dense_38 (Dense) (None, 5) 30 \n", - " \n", - " dense_39 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 66\n", - "Trainable params: 66\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "history=model.fit(X_train,y_train,epochs=50,validation_split=0.15)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "RHwtbFHxiZ2i", - "outputId": "232086ec-013c-4d7d-b8bb-b58467618068" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/50\n", - "3/3 [==============================] - 0s 40ms/step - loss: 150.2509 - val_loss: 43.1965\n", - "Epoch 2/50\n", - "3/3 [==============================] - 0s 17ms/step - loss: 57.6602 - val_loss: 52.5548\n", - "Epoch 3/50\n", - "3/3 [==============================] - 0s 16ms/step - loss: 30.8436 - val_loss: 50.4830\n", - "Epoch 4/50\n", - "3/3 [==============================] - 0s 27ms/step - loss: 28.6797 - val_loss: 60.0474\n", - "Epoch 5/50\n", - "3/3 [==============================] - 0s 17ms/step - loss: 68.8603 - val_loss: 72.1300\n", - "Epoch 6/50\n", - "3/3 [==============================] - 0s 14ms/step - loss: 53.9632 - val_loss: 58.5403\n", - "Epoch 7/50\n", - "3/3 [==============================] - 0s 16ms/step - loss: 88.3067 - val_loss: 84.2328\n", - "Epoch 8/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 83.1638 - val_loss: 312.2082\n", - "Epoch 9/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 197.4656 - val_loss: 207.8037\n", - "Epoch 10/50\n", - "3/3 [==============================] - 0s 18ms/step - loss: 231.0845 - val_loss: 226.0417\n", - "Epoch 11/50\n", - "3/3 [==============================] - 0s 22ms/step - loss: 611.4321 - val_loss: 300.2731\n", - "Epoch 12/50\n", - "3/3 [==============================] - 0s 17ms/step - loss: 242.1879 - val_loss: 57.6884\n", - "Epoch 13/50\n", - "3/3 [==============================] - 0s 14ms/step - loss: 74.5682 - val_loss: 173.1839\n", - "Epoch 14/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 46.1631 - val_loss: 52.3504\n", - "Epoch 15/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 35.5765 - val_loss: 47.1736\n", - "Epoch 16/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 85.6439 - val_loss: 66.4421\n", - "Epoch 17/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 77.5361 - val_loss: 80.0700\n", - "Epoch 18/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 108.5262 - val_loss: 55.9346\n", - "Epoch 19/50\n", - "3/3 [==============================] - 0s 16ms/step - loss: 73.8788 - val_loss: 47.8053\n", - "Epoch 20/50\n", - "3/3 [==============================] - 0s 19ms/step - loss: 29.1937 - val_loss: 65.4312\n", - "Epoch 21/50\n", - "3/3 [==============================] - 0s 17ms/step - loss: 56.9133 - val_loss: 50.4955\n", - "Epoch 22/50\n", - "3/3 [==============================] - 0s 16ms/step - loss: 31.2551 - val_loss: 58.4204\n", - "Epoch 23/50\n", - "3/3 [==============================] - 0s 14ms/step - loss: 51.9902 - val_loss: 99.1762\n", - "Epoch 24/50\n", - "3/3 [==============================] - 0s 16ms/step - loss: 68.0477 - val_loss: 50.1635\n", - "Epoch 25/50\n", - "3/3 [==============================] - 0s 20ms/step - loss: 36.8152 - val_loss: 51.0349\n", - "Epoch 26/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 64.8692 - val_loss: 41.1597\n", - "Epoch 27/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 47.5801 - val_loss: 41.7204\n", - "Epoch 28/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 68.6757 - val_loss: 52.8936\n", - "Epoch 29/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 37.5286 - val_loss: 60.9310\n", - "Epoch 30/50\n", - "3/3 [==============================] - 0s 17ms/step - loss: 47.4924 - val_loss: 43.6636\n", - "Epoch 31/50\n", - "3/3 [==============================] - 0s 25ms/step - loss: 37.0754 - val_loss: 83.3623\n", - "Epoch 32/50\n", - "3/3 [==============================] - 0s 14ms/step - loss: 101.9013 - val_loss: 68.7400\n", - "Epoch 33/50\n", - "3/3 [==============================] - 0s 16ms/step - loss: 49.1887 - val_loss: 48.7251\n", - "Epoch 34/50\n", - "3/3 [==============================] - 0s 17ms/step - loss: 42.3565 - val_loss: 59.1741\n", - "Epoch 35/50\n", - "3/3 [==============================] - 0s 14ms/step - loss: 23.5876 - val_loss: 56.4909\n", - "Epoch 36/50\n", - "3/3 [==============================] - 0s 18ms/step - loss: 37.1128 - val_loss: 129.8485\n", - "Epoch 37/50\n", - "3/3 [==============================] - 0s 20ms/step - loss: 93.7521 - val_loss: 70.7129\n", - "Epoch 38/50\n", - "3/3 [==============================] - 0s 18ms/step - loss: 39.4599 - val_loss: 194.4081\n", - "Epoch 39/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 103.7610 - val_loss: 117.8571\n", - "Epoch 40/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 379.7826 - val_loss: 67.6955\n", - "Epoch 41/50\n", - "3/3 [==============================] - 0s 14ms/step - loss: 45.5979 - val_loss: 34.4113\n", - "Epoch 42/50\n", - "3/3 [==============================] - 0s 16ms/step - loss: 27.8664 - val_loss: 35.6572\n", - "Epoch 43/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 29.4100 - val_loss: 38.7390\n", - "Epoch 44/50\n", - "3/3 [==============================] - 0s 18ms/step - loss: 37.5924 - val_loss: 49.9111\n", - "Epoch 45/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 44.5184 - val_loss: 42.5366\n", - "Epoch 46/50\n", - "3/3 [==============================] - 0s 15ms/step - loss: 36.6009 - val_loss: 81.3042\n", - "Epoch 47/50\n", - "3/3 [==============================] - 0s 23ms/step - loss: 68.4100 - val_loss: 110.9723\n", - "Epoch 48/50\n", - "3/3 [==============================] - 0s 16ms/step - loss: 141.2484 - val_loss: 33.4678\n", - "Epoch 49/50\n", - "3/3 [==============================] - 0s 18ms/step - loss: 33.0844 - val_loss: 79.1099\n", - "Epoch 50/50\n", - "3/3 [==============================] - 0s 24ms/step - loss: 56.7876 - val_loss: 49.0711\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "predict=model.predict(X_test)" - ], - "metadata": { - "id": "El6m3BEtFk3X" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code here plt.plot(history.history['loss'], label='loss') \n", - "plt.plot(history.history['loss'], label='loss') \n", - "plt.plot(history.history['val_loss'], label='val_loss') \n", - "plt.xlabel('Loss')\n", - "plt.ylabel('Epoch')\n" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 296 - }, - "outputId": "c241082d-a8d1-4613-9927-776b86b9bca7" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "Text(0, 0.5, 'Epoch')" - ] - }, - "metadata": {}, - "execution_count": 107 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "# Insert the function for R2 Score \n", - "from sklearn.metrics import r2_score \n", - "acc = r2_score(y_test, predict) \n", - "print(\"Accuracy:\", acc)" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "cfa11e04-d5fe-47cc-96f1-4dfdb6ac136f" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9950862525448015\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "Your text here" - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code here \n", - "custom = keras.Sequential([\n", - "\n", - " keras.layers.Dense(64,input_dim=5, activation='relu'),\n", - " keras.layers.Dense(32, activation='relu'), \n", - " keras.layers.Dense(1)\n", - "\n", - " \n", - "]) \n", - "\n", - "custom.compile( loss='mean_squared_error',optimizer= tf.keras.optimizers.Adam(0.1)) \n" - ], - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "h_custom =custom.fit(X_train,y_train,epochs=50,validation_split=0.2)" - ], - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "3d43ca4d-99c6-468f-def6-6580f886bb5c" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/50\n", - "2/2 [==============================] - 1s 137ms/step - loss: 12593.3945 - val_loss: 6433.6631\n", - "Epoch 2/50\n", - "2/2 [==============================] - 0s 35ms/step - loss: 10738.0205 - val_loss: 3593.6997\n", - "Epoch 3/50\n", - "2/2 [==============================] - 0s 28ms/step - loss: 5130.7227 - val_loss: 552.1275\n", - "Epoch 4/50\n", - "2/2 [==============================] - 0s 30ms/step - loss: 1707.4523 - val_loss: 3355.2217\n", - "Epoch 5/50\n", - "2/2 [==============================] - 0s 29ms/step - loss: 3230.4233 - val_loss: 1163.1106\n", - "Epoch 6/50\n", - "2/2 [==============================] - 0s 28ms/step - loss: 1098.6919 - val_loss: 675.4690\n", - "Epoch 7/50\n", - "2/2 [==============================] - 0s 29ms/step - loss: 1262.1267 - val_loss: 486.1453\n", - "Epoch 8/50\n", - "2/2 [==============================] - 0s 29ms/step - loss: 1402.9468 - val_loss: 265.1467\n", - "Epoch 9/50\n", - "2/2 [==============================] - 0s 29ms/step - loss: 934.4056 - val_loss: 320.1334\n", - "Epoch 10/50\n", - "2/2 [==============================] - 0s 53ms/step - loss: 444.2141 - val_loss: 712.8894\n", - "Epoch 11/50\n", - "2/2 [==============================] - 0s 29ms/step - loss: 541.7440 - val_loss: 673.4257\n", - "Epoch 12/50\n", - "2/2 [==============================] - 0s 34ms/step - loss: 607.2363 - val_loss: 324.0837\n", - "Epoch 13/50\n", - "2/2 [==============================] - 0s 32ms/step - loss: 317.9103 - val_loss: 94.8582\n", - "Epoch 14/50\n", - "2/2 [==============================] - 0s 30ms/step - loss: 225.7855 - val_loss: 96.4340\n", - "Epoch 15/50\n", - "2/2 [==============================] - 0s 28ms/step - loss: 362.7992 - val_loss: 127.9274\n", - "Epoch 16/50\n", - "2/2 [==============================] - 0s 26ms/step - loss: 324.0910 - val_loss: 167.9012\n", - "Epoch 17/50\n", - "2/2 [==============================] - 0s 31ms/step - loss: 139.0246 - val_loss: 190.6367\n", - "Epoch 18/50\n", - "2/2 [==============================] - 0s 30ms/step - loss: 107.6833 - val_loss: 204.5915\n", - "Epoch 19/50\n", - "2/2 [==============================] - 0s 31ms/step - loss: 164.0649 - val_loss: 142.1239\n", - "Epoch 20/50\n", - "2/2 [==============================] - 0s 28ms/step - loss: 93.5135 - val_loss: 82.8681\n", - "Epoch 21/50\n", - "2/2 [==============================] - 0s 29ms/step - loss: 65.4445 - val_loss: 72.6926\n", - "Epoch 22/50\n", - "2/2 [==============================] - 0s 30ms/step - loss: 86.2977 - val_loss: 73.2825\n", - "Epoch 23/50\n", - "2/2 [==============================] - 0s 29ms/step - loss: 73.5676 - val_loss: 72.3203\n", - "Epoch 24/50\n", - "2/2 [==============================] - 0s 31ms/step - loss: 40.8802 - val_loss: 91.0440\n", - "Epoch 25/50\n", - "2/2 [==============================] - 0s 31ms/step - loss: 64.9941 - val_loss: 88.3895\n", - "Epoch 26/50\n", - "2/2 [==============================] - 0s 30ms/step - loss: 46.1000 - val_loss: 72.3679\n", - "Epoch 27/50\n", - "2/2 [==============================] - 0s 47ms/step - loss: 25.2324 - val_loss: 75.9048\n", - "Epoch 28/50\n", - "2/2 [==============================] - 0s 29ms/step - loss: 31.6758 - val_loss: 78.1586\n", - "Epoch 29/50\n", - "2/2 [==============================] - 0s 30ms/step - loss: 29.5292 - val_loss: 71.9944\n", - "Epoch 30/50\n", - "2/2 [==============================] - 0s 50ms/step - loss: 19.4286 - val_loss: 73.2607\n", - "Epoch 31/50\n", - "2/2 [==============================] - 0s 29ms/step - loss: 20.8734 - val_loss: 73.1272\n", - "Epoch 32/50\n", - "2/2 [==============================] - 0s 26ms/step - loss: 21.0551 - val_loss: 65.9183\n", - "Epoch 33/50\n", - "2/2 [==============================] - 0s 41ms/step - loss: 14.8776 - val_loss: 57.7761\n", - "Epoch 34/50\n", - "2/2 [==============================] - 0s 29ms/step - loss: 16.6571 - val_loss: 53.0923\n", - "Epoch 35/50\n", - "2/2 [==============================] - 0s 49ms/step - loss: 15.1586 - val_loss: 54.6809\n", - "Epoch 36/50\n", - "2/2 [==============================] - 0s 31ms/step - loss: 12.0907 - val_loss: 62.0379\n", - "Epoch 37/50\n", - "2/2 [==============================] - 0s 28ms/step - loss: 13.0411 - val_loss: 67.3179\n", - "Epoch 38/50\n", - "2/2 [==============================] - 0s 30ms/step - loss: 12.7865 - val_loss: 61.5235\n", - "Epoch 39/50\n", - "2/2 [==============================] - 0s 34ms/step - loss: 9.8283 - val_loss: 54.1732\n", - "Epoch 40/50\n", - "2/2 [==============================] - 0s 32ms/step - loss: 10.7023 - val_loss: 52.4440\n", - "Epoch 41/50\n", - "2/2 [==============================] - 0s 30ms/step - loss: 10.0670 - val_loss: 55.0458\n", - "Epoch 42/50\n", - "2/2 [==============================] - 0s 30ms/step - loss: 8.3771 - val_loss: 59.1310\n", - "Epoch 43/50\n", - "2/2 [==============================] - 0s 28ms/step - loss: 9.4896 - val_loss: 57.9258\n", - "Epoch 44/50\n", - "2/2 [==============================] - 0s 30ms/step - loss: 8.3637 - val_loss: 53.3750\n", - "Epoch 45/50\n", - "2/2 [==============================] - 0s 30ms/step - loss: 8.2381 - val_loss: 51.0517\n", - "Epoch 46/50\n", - "2/2 [==============================] - 0s 31ms/step - loss: 8.2587 - val_loss: 52.9347\n", - "Epoch 47/50\n", - "2/2 [==============================] - 0s 31ms/step - loss: 6.7683 - val_loss: 53.5058\n", - "Epoch 48/50\n", - "2/2 [==============================] - 0s 50ms/step - loss: 6.9971 - val_loss: 52.7782\n", - "Epoch 49/50\n", - "2/2 [==============================] - 0s 30ms/step - loss: 6.7782 - val_loss: 50.0355\n", - "Epoch 50/50\n", - "2/2 [==============================] - 0s 28ms/step - loss: 6.3855 - val_loss: 50.4321\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(h_custom.history['loss'], label='loss') \n", - "plt.plot(h_custom.history['val_loss'], label='val_loss') \n", - "plt.xlabel('Loss')\n", - "plt.ylabel('Epochs')" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 296 - }, - "id": "KWW1UM6eM7Ly", - "outputId": "5e456742-f7d8-4c1c-bef0-329f9dfd7a35" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "Text(0, 0.5, 'Epochs')" - ] - }, - "metadata": {}, - "execution_count": 112 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "predict_custom=custom.predict(X_test)" - ], - "metadata": { - "id": "CzXguMSkQPZ6" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "from sklearn.metrics import r2_score \n", - "acc = r2_score(y_test, predict_custom) \n", - "print(\"Accuracy:\", acc)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Lq57Wk_uNuNf", - "outputId": "3d6f6bb9-1f2a-454f-8c46-7aa5458fa5ac" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9932377773365737\n" - ] - } - ] - } - ] -} diff --git a/Assignment 2/A2_210355.ipynb b/Assignment 2/A2_210355.ipynb deleted file mode 100644 index 3d019fa..0000000 --- a/Assignment 2/A2_210355.ipynb +++ /dev/null @@ -1,875 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A2_210355.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assigment 2: Deep Learning" - ], - "metadata": { - "id": "UxcaEbrCy1g_" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "h2JON-_Oy79w" - } - }, - { - "cell_type": "code", - "execution_count": 155, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "code", - "source": [ - "print(f\"shape of x_train:{X_train.shape} and shape of x_test:{X_test.shape}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "oJhPVZ1VD1SN", - "outputId": "deba84d5-85be-459f-de08-a5e809703e38" - }, - "execution_count": 156, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "shape of x_train:(80, 5) and shape of x_test:(20, 5)\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "print(f\"shape of y_train:{y_train.shape} and shape of y_test:{y_test.shape}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "RBvp3pEqQfmZ", - "outputId": "6db7f6f9-0c8e-4b8c-98f6-02696c4b5c3e" - }, - "execution_count": 157, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "shape of y_train:(80,) and shape of y_test:(20,)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ], - "metadata": { - "id": "r6it-Rm7zD1Y" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code here" - ], - "metadata": { - "id": "UautPVj1yzaQ" - }, - "execution_count": 158, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "plt.title(\"with respect to feature-1\")\n", - "plt.scatter(X[:,0],y)\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "KZf5QlwhQuTp", - "outputId": "93e39cce-f1a8-4b0c-93d0-905a294c698d" - }, - "execution_count": 159, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.title(\"with respect to feature-2\")\n", - "plt.scatter(X[:,1],y)\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "igYVQPHHRdHc", - "outputId": "1c39049d-2cd0-4956-90cb-ad01eebe326d" - }, - "execution_count": 160, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.title(\"with respect to feature-3\")\n", - "plt.scatter(X[:,2],y)\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "9DhD5zR7Re79", - "outputId": "70ef9a8b-2f60-495b-e10d-f3ccb3dab2ef" - }, - "execution_count": 161, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.title(\"with respect to feature-4\")\n", - "plt.scatter(X[:,3],y)\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "IYgexrq9RetP", - "outputId": "9ae4a5bb-1fd4-4d91-d775-bd0bf0caf70d" - }, - "execution_count": 162, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.title(\"with respect to feature-5\")\n", - "plt.scatter(X[:,4],y)\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "j_GmKPwMReeX", - "outputId": "cc940cc0-0212-466d-a6e5-f5d9de984076" - }, - "execution_count": 163, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ], - "metadata": { - "id": "XMXb9lTyzGHE" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers\n", - "# Your code here" - ], - "metadata": { - "id": "r32N1xK2ziOs" - }, - "execution_count": 164, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "Normalizer = tf.keras.layers.Normalization(axis=-1)" - ], - "metadata": { - "id": "FOp31U80b3xO" - }, - "execution_count": 165, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "myfirst_model = tf.keras.Sequential([\n", - " Normalizer,\n", - " layers.Dense(5,activation='relu'),\n", - " layers.Dense(5,activation ='relu'),\n", - " layers.Dense(1) \n", - "])" - ], - "metadata": { - "id": "vOjX9toacNY2" - }, - "execution_count": 166, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "myfirst_model.compile(loss=tf.keras.losses.MeanSquaredError(),\n", - " optimizer=tf.keras.optimizers.SGD(learning_rate=0.00001, momentum=0.0, nesterov=False))" - ], - "metadata": { - "id": "F4IkP0j1eek0" - }, - "execution_count": 167, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "myfirst_model.predict(X_train[:10])" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "kOLFbCJCfMzP", - "outputId": "1f09bbf1-9cde-4f59-fb7f-ecd5f38dc70f" - }, - "execution_count": 168, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([[ 0.41224602],\n", - " [ 0.35434017],\n", - " [ 0.35464525],\n", - " [ 0.15367697],\n", - " [ 0.03448092],\n", - " [-0.00578881],\n", - " [ 0.16810761],\n", - " [ 0.19134963],\n", - " [ 0.00760195],\n", - " [ 0.00427457]], dtype=float32)" - ] - }, - "metadata": {}, - "execution_count": 168 - } - ] - }, - { - "cell_type": "code", - "source": [ - "myfirst_model.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "dquxfF-CfNJg", - "outputId": "caa84748-c572-4413-e2c6-a048e486ba36" - }, - "execution_count": 169, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_7\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " normalization_7 (Normalizat (None, 5) 11 \n", - " ion) \n", - " \n", - " dense_21 (Dense) (None, 5) 30 \n", - " \n", - " dense_22 (Dense) (None, 5) 30 \n", - " \n", - " dense_23 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 77\n", - "Trainable params: 66\n", - "Non-trainable params: 11\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "%%time\n", - "history = myfirst_model.fit(\n", - " X_train,\n", - " y_train,\n", - " validation_split=0.2,\n", - " verbose=0, epochs=1000)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "aXakyT7uf7VJ", - "outputId": "eeacfd26-96df-4a98-d287-373f820196f2" - }, - "execution_count": 170, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "CPU times: user 28.4 s, sys: 1.17 s, total: 29.5 s\n", - "Wall time: 28.1 s\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "#history.history['val_loss'].tail()" - ], - "metadata": { - "id": "GevwzC_qf6ot" - }, - "execution_count": 171, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ], - "metadata": { - "id": "jmeP6vt3z0oA" - } - }, - { - "cell_type": "code", - "source": [ - "y = history.history['loss']\n", - "z = history.history['val_loss']\n", - "plt.plot(y,label=\"loss\")\n", - "plt.plot(z,label=\"val_loss\")\n", - "plt.ylabel(\"loss\")\n", - "plt.xlabel(\"Iterations\")\n", - "plt.legend()\n", - "plt.grid(True)" - ], - "metadata": { - "id": "RQTNqPHm0mOi", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 279 - }, - "outputId": "5db68cb0-6289-488d-eb02-bc84c3b11700" - }, - "execution_count": 172, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ], - "metadata": { - "id": "IVrR_vXA7kOt" - } - }, - { - "cell_type": "code", - "source": [ - "predictions = myfirst_model.predict(X_test)" - ], - "metadata": { - "id": "e0N9A-9vlma7" - }, - "execution_count": 173, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "predictions[:10]" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "mqilLjq-Srox", - "outputId": "253c8542-82a0-4005-bc14-45057c550a55" - }, - "execution_count": 174, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([[ 169.80963 ],\n", - " [-123.10898 ],\n", - " [ 72.374344],\n", - " [-138.44054 ],\n", - " [ 3.518202],\n", - " [ -77.10021 ],\n", - " [ 63.527916],\n", - " [ 42.232426],\n", - " [-141.25687 ],\n", - " [ 142.64418 ]], dtype=float32)" - ] - }, - "metadata": {}, - "execution_count": 174 - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Insert the function for R2 Score\n", - "from sklearn.metrics import r2_score\n", - "\n", - "accu = r2_score(y_test,predictions)\n", - "print(accu)" - ], - "metadata": { - "id": "-lOHpD8-7ggm", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "548392b7-26c6-422b-d869-c55f8d1fea33" - }, - "execution_count": 175, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "0.9661276597383492\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ], - "metadata": { - "id": "CHqzF1OU0pBg" - } - }, - { - "cell_type": "markdown", - "source": [ - "Your text here" - ], - "metadata": { - "id": "jF8oTUqq0y0g" - } - }, - { - "cell_type": "markdown", - "source": [ - "Generating the dataset here(number of samples is 1000):-" - ], - "metadata": { - "id": "Lk-eXhdbGXSP" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code here\n", - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "\n", - "X, y = datasets.make_regression(n_samples=1000, n_features=5, noise=5, random_state=4)\n", - "\n", - "\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ], - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "execution_count": 1, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "print(X_train.shape,X_test.shape)\n", - "print(y_train.shape,y_test.shape)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Bk1y7BUnFCNQ", - "outputId": "e651c2d6-6f2e-4d7f-cc69-158d84b17cf9" - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(800, 5) (200, 5)\n", - "(800,) (200,)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Importing the libraries" - ], - "metadata": { - "id": "2mCUecaaGlHf" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "import matplotlib.pyplot as plt\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers" - ], - "metadata": { - "id": "RRZ7P1_-FB4J" - }, - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "Normalizer = tf.keras.layers.Normalization(axis=-1)" - ], - "metadata": { - "id": "RFuTyW50FBss" - }, - "execution_count": 5, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "Model here,\n", - "tried using the 'tanh' activation function." - ], - "metadata": { - "id": "1m2TzvQKGs4m" - } - }, - { - "cell_type": "code", - "source": [ - "custom_model = tf.keras.Sequential([\n", - " Normalizer,\n", - " layers.Dense(4,activation=\"tanh\"),\n", - " layers.Dense(6,activation=\"tanh\"),\n", - " layers.Dense(1) \n", - "])" - ], - "metadata": { - "id": "iXLVEvrOFnOF" - }, - "execution_count": 6, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "Tried using the Adam optimizer here" - ], - "metadata": { - "id": "rpTbepo1G5Cy" - } - }, - { - "cell_type": "code", - "source": [ - "custom_model.compile(\n", - " loss=tf.keras.losses.MeanSquaredError(),\n", - " optimizer=tf.optimizers.Adam(learning_rate=0.04)\n", - ")" - ], - "metadata": { - "id": "lCstgEJ3FBhT" - }, - "execution_count": 7, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "training the Model goes here" - ], - "metadata": { - "id": "NWLc2YZmG-UA" - } - }, - { - "cell_type": "code", - "source": [ - "%%time\n", - "history = custom_model.fit(\n", - " X_train,\n", - " y_train,\n", - " validation_split=0.2,\n", - " verbose=0, epochs=130)" - ], - "metadata": { - "id": "aS0ROZa402Lo", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "2d5597ca-b0f8-48d3-8b20-baaa90878ce8" - }, - "execution_count": 8, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "CPU times: user 7.64 s, sys: 468 ms, total: 8.11 s\n", - "Wall time: 8.08 s\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot Loss" - ], - "metadata": { - "id": "OOWxjSVWHDly" - } - }, - { - "cell_type": "code", - "source": [ - "y = history.history['loss']\n", - "z = history.history['val_loss']\n", - "plt.plot(y,label=\"loss\")\n", - "plt.plot(z,label=\"val_loss\")\n", - "plt.ylabel(\"loss\")\n", - "plt.xlabel(\"Iterations\")\n", - "plt.legend()\n", - "plt.grid(True)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "IWbjZpaJFv8x", - "outputId": "feddb613-4680-4d3b-f66f-611b52879285" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Accuracy:-" - ], - "metadata": { - "id": "I_xKiszwHHMV" - } - }, - { - "cell_type": "code", - "source": [ - "predictions = custom_model.predict(X_test)\n", - "from sklearn.metrics import r2_score\n", - "\n", - "accu = r2_score(y_test,predictions)\n", - "print(\"Accuracy:\",accu)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "_N4DoTU2Fv4U", - "outputId": "f6f19116-939d-4ae4-f09a-a34e4e0a3d76" - }, - "execution_count": 11, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Accuracy: 0.9761308831585002\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 2/A2_211055.ipynb b/Assignment 2/A2_211055.ipynb deleted file mode 100644 index b67a334..0000000 --- a/Assignment 2/A2_211055.ipynb +++ /dev/null @@ -1,721 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "UxcaEbrCy1g_" - }, - "source": [ - "# Assigment 2: Deep Learning" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "h2JON-_Oy79w" - }, - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r6it-Rm7zD1Y" - }, - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 113, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "UautPVj1yzaQ", - "outputId": "15a0acb8-2869-4b2d-f509-ab3e1910d1cf" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "for i in range(0,5):\n", - " plt.scatter(X[:,i],y)\n", - " plt.show()\n", - "\n", - "# Your code here" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "XMXb9lTyzGHE" - }, - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 114, - "metadata": { - "id": "r32N1xK2ziOs" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers\n", - "\n", - "normalizer = tf.keras.layers.Normalization(axis=-1)\n", - "\n", - "model = tf.keras.Sequential([\n", - " normalizer,\n", - " layers.Dense(5, activation=\"relu\"),\n", - " layers.Dense(5, activation=\"relu\"),\n", - " layers.Dense(1),\n", - " ])" - ] - }, - { - "cell_type": "code", - "execution_count": 115, - "metadata": { - "id": "aS0ROZa402Lo" - }, - "outputs": [], - "source": [ - "model.compile(\n", - " optimizer=tf.optimizers.SGD(learning_rate=0.0001,momentum=0.0,nesterov=False),\n", - " loss=tf.keras.losses.MeanSquaredError())" - ] - }, - { - "cell_type": "code", - "execution_count": 116, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "2Gq4qbDmoZtV", - "outputId": "032e9a07-397d-4089-d921-858fd28d33f5" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([[ 0.268295 ],\n", - " [ 0.40692922],\n", - " [ 0.2321752 ],\n", - " [ 0.8441841 ],\n", - " [-0.12037146],\n", - " [-0.0083224 ],\n", - " [ 0.2598156 ],\n", - " [ 0.29622173],\n", - " [ 0.15230583],\n", - " [ 0.13317993]], dtype=float32)" - ] - }, - "metadata": {}, - "execution_count": 116 - } - ], - "source": [ - "model.predict(X_train[:10])" - ] - }, - { - "cell_type": "code", - "execution_count": 117, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "81Q7WcvPoeHB", - "outputId": "4ea3234c-9b9c-4d4d-d8a3-3d5eef86051f" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 117 - } - ], - "source": [ - "model.layers[1].kernel" - ] - }, - { - "cell_type": "code", - "execution_count": 118, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "i2GNROFsoee0", - "outputId": "b50a717f-e229-4810-9853-c38e1a5f5e34" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_9\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " normalization_9 (Normalizat (None, 5) 11 \n", - " ion) \n", - " \n", - " dense_31 (Dense) (None, 5) 30 \n", - " \n", - " dense_32 (Dense) (None, 5) 30 \n", - " \n", - " dense_33 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 77\n", - "Trainable params: 66\n", - "Non-trainable params: 11\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "model.summary()" - ] - }, - { - "cell_type": "code", - "execution_count": 119, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Qyw6jhjFkZih", - "outputId": "6c0a60da-fda0-41ab-a077-8d6c907e9090" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "CPU times: user 28.6 s, sys: 1.13 s, total: 29.7 s\n", - "Wall time: 28.2 s\n" - ] - } - ], - "source": [ - "%%time\n", - "history = model.fit(\n", - " X_train,\n", - " y_train,\n", - " validation_split=0.2,\n", - " verbose=0, epochs=1000)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jmeP6vt3z0oA" - }, - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ] - }, - { - "cell_type": "code", - "execution_count": 120, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 279 - }, - "id": "RQTNqPHm0mOi", - "outputId": "70ab4d1a-91de-4d0c-ea50-570534a0f775" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "# Your code here\n", - "import matplotlib.pyplot as plt\n", - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label='val_loss')\n", - "##plt.ylim([0, 10])\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Losses')\n", - "plt.legend()\n", - "plt.grid(True)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IVrR_vXA7kOt" - }, - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ] - }, - { - "cell_type": "code", - "execution_count": 121, - "metadata": { - "id": "RYGv2JgHrD1i" - }, - "outputs": [], - "source": [ - "predictions = model.predict(X_test)" - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "-lOHpD8-7ggm", - "outputId": "6db0f9ec-4cbc-4b53-b528-de8e7e3745d3" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "0.9959940574455577\n" - ] - } - ], - "source": [ - "# Insert the function for R2 Score\n", - "from sklearn.metrics import r2_score\n", - "\n", - "print(r2_score(y_test,predictions))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "CHqzF1OU0pBg" - }, - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jF8oTUqq0y0g" - }, - "source": [ - "Your text here" - ] - }, - { - "cell_type": "code", - "execution_count": 123, - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "outputs": [], - "source": [ - "# Your code here\n", - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" - ] - }, - { - "cell_type": "code", - "execution_count": 124, - "metadata": { - "id": "VRToCWyX7cko" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers\n", - "\n", - "normalizer = tf.keras.layers.Normalization(axis=-1)\n", - "\n", - "model = tf.keras.Sequential([\n", - " normalizer,\n", - " layers.Dense(5, activation=\"relu\"),\n", - " layers.Dense(5, activation=\"relu\"),\n", - " layers.Dense(5, activation=\"relu\"),\n", - " layers.Dense(1),\n", - " ])" - ] - }, - { - "cell_type": "code", - "execution_count": 125, - "metadata": { - "id": "BuIDIhd57gqh" - }, - "outputs": [], - "source": [ - "model.compile(\n", - " optimizer=tf.optimizers.SGD(learning_rate=0.0001,momentum=0.0,nesterov=False),\n", - " loss=tf.keras.losses.MeanSquaredError())" - ] - }, - { - "cell_type": "code", - "execution_count": 126, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Sg72Aqhb7kI7", - "outputId": "a64cd955-7978-4799-88de-a7df92d936b9" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([[-0.0412894 ],\n", - " [-0.9511272 ],\n", - " [-0.21065173],\n", - " [-0.28830853],\n", - " [ 0. ],\n", - " [-0.56357175],\n", - " [-0.867015 ],\n", - " [-1.0963545 ],\n", - " [-0.20718148],\n", - " [-0.064897 ]], dtype=float32)" - ] - }, - "metadata": {}, - "execution_count": 126 - } - ], - "source": [ - "model.predict(X_train[:10])" - ] - }, - { - "cell_type": "code", - "execution_count": 127, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "TL2PElwg71aM", - "outputId": "146dd58f-ba99-4bb6-8021-ddf2ea43eddc" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 127 - } - ], - "source": [ - "model.layers[1].kernel" - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Yc4JLZzt74QE", - "outputId": "292cfe28-86f3-4a8b-8493-3e7203ed85cb" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_10\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " normalization_10 (Normaliza (None, 5) 11 \n", - " tion) \n", - " \n", - " dense_34 (Dense) (None, 5) 30 \n", - " \n", - " dense_35 (Dense) (None, 5) 30 \n", - " \n", - " dense_36 (Dense) (None, 5) 30 \n", - " \n", - " dense_37 (Dense) (None, 1) 6 \n", - " \n", - "=================================================================\n", - "Total params: 107\n", - "Trainable params: 96\n", - "Non-trainable params: 11\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "model.summary()" - ] - }, - { - "cell_type": "code", - "execution_count": 129, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "KzKjYeIq74UJ", - "outputId": "0385a3aa-79ec-49e8-e702-08edef0d6a97" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "CPU times: user 3min 6s, sys: 14.7 s, total: 3min 21s\n", - "Wall time: 3min 22s\n" - ] - } - ], - "source": [ - "%%time\n", - "history = model.fit(\n", - " X_train,\n", - " y_train,\n", - " validation_split=0.2,\n", - " verbose=0, epochs=500)" - ] - }, - { - "cell_type": "code", - "execution_count": 130, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 279 - }, - "id": "_o3Hp_Gq7_Hb", - "outputId": "582d9590-202d-4643-faf0-b1c45536ac7e" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label='val_loss')\n", - "##plt.ylim([0, 10])\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Losses')\n", - "plt.legend()\n", - "plt.grid(True)" - ] - }, - { - "cell_type": "code", - "execution_count": 131, - "metadata": { - "id": "HfxIufpC8DVE" - }, - "outputs": [], - "source": [ - "predictions = model.predict(X_test)" - ] - }, - { - "cell_type": "code", - "execution_count": 132, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "8DnTq_wn7_Oa", - "outputId": "84e9e983-a104-4a9e-f165-7c1514c2a5a5" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "0.978835635059906\n" - ] - } - ], - "source": [ - "from sklearn.metrics import r2_score\n", - "\n", - "print(r2_score(y_test,predictions))" - ] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "Copy of CVusingTF_Assgn2.ipynb", - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file diff --git a/Assignment 2/A2_211154.ipynb b/Assignment 2/A2_211154.ipynb deleted file mode 100644 index 14cf1de..0000000 --- a/Assignment 2/A2_211154.ipynb +++ /dev/null @@ -1,840 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "UxcaEbrCy1g_" - }, - "source": [ - "# Assigment 2: Deep Learning" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "h2JON-_Oy79w" - }, - "source": [ - "## Generate Dataset\n", - "\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "hgpG3WDuypfa" - }, - "outputs": [], - "source": [ - "from sklearn import datasets\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "# Generate the data\n", - "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", - "\n", - "# Split the data\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", - "X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=1)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "r6it-Rm7zD1Y" - }, - "source": [ - "## Visualize Dataset\n", - "This is the same code from Assignment 1" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "id": "UautPVj1yzaQ" - }, - "outputs": [ - { - "data": { - "image/png": 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VFhXYDEhV4nfhUwsNF255qjxsvXlr/IOatL5SMw1WvhY7ng+E6dv43qzEu6sGPTyWrEipC6zEyHm3T/AuP6mrjNb6e1rruVrrubW1tRmamRBNsXQU2VE4tksaIppU9YbSKvjnSFE1LcL0bbo7zo0I/CDaQ+mSSXmHt0PpHKWUB+gOjncC08K2mxocE/KAjHQUZVia1ohkPIHDF2kNTarl0UsW88ykyyhTimGDJ+NUpCHCMbp4fLxsB3f3b4KWE6bnyEiyYd7rw9z6Yhn7180cTYX8auqc2HRGArmAXKb6QsTMwX+S0Az8/Q7Dz4j2UOpk8s7/WeC24L9vA34eNv6/gl0/VwE+yfdnl3hFQ7POoaaD53Jw/gL2XzKTg/MXWF/2Hnp09x0B9Jg0bccm2+cejtXCcfSyftfxbm596XGuPbLHMPDbIQ0RffH4eHAR1tSy48Q7R82TP0hF2JzmvT7MF57XTPQNj0oSHL3nXp7b+EM6ewfQBOoUd/3096z23US/Lo/Yn99RAQvWjKb6oiUfrBSTE+FrazP/venYFEhHtbhpf+RSWnbcGzmH2om0V40HwDneeH1CMffhZxpbcv5KqZ8QKO5OBt4G/hHYDGwCzgfeApZrrU8G8///TKA7qB/4THS+PxpZ4WsfiXL6Ru9/eL+Dzz8/QtmZodExs3xrjNTB+7zU1HXie7OS7o5z8fc7cI4fpu4qFzXfTm7lpNHcnMrJOeXn4Dvji7ljtSK70PGhP8PV3RtzrAGXi7qb+qhXx/EymfVDy9ld/dH0ioLBJyDtO0qXnsQ3hpbz3DlVvKfuJ/Q4FVP8wzSf6qWprz+wfXg+PngRbS9XtE5wc8zp4DvfHmbi6djDvFNZyfJF98WMf7xsB3c7N1GvTtClJ/EQn+Cam77It//4mdRrCXGIu1r7PQMRevULp9Yby074h9l6pNMw53/G4aL1AzfzX5ddU3LFWquIvIMwipWiYfTj9zcffscwQEYXTw3/sztGqLmgH9+b4yOLdY4RPOu+mVSxzmzu4SRTnG4/3M6FN3zZwJ8LQFN/Ve+Y3HK6vrMGXrbPVNXQMnkiI2Vjd7UVIyO0HD8ZvACESVEYFGz3P+EJbGMw9+8su2lUwTQeDe5K3vGsQBuU5NKVfIhbdF/ydsT3MZedgI6TOqLbZ+jEaXoq3fzwkuv59bTLgSLxO84AOS/4CvmDlZx+00VNbL15Kx23dbD15q2WNesNpRmGy+g9XBVbrBsuS7pYZ6XukExxunVvK8erzd5VdHecO/YyXSMNA3OO70yoigj8AINlZbROcAdehEtRGBRmTVMh44e522ktrdbVO5CxxYNxi+5R38dcdsITePpp6aXm228wfcfLfO62f+a2hfeMBn7ID0/cQkOCf4mRyn90q6tuTYtvJg+XyRbrrAYjq8XpY33HePw6ZdqGFlNkTKczxuCzx5zGRcxjTkesFIWBJlFd4zsoR6RUQ8gZLFzSIR717sqMLR6M+3sT9X2SkZ3IVBdWqSHBv8RI5T+61eKpafGtzPjXLNlindHcjbB6kZhSNYWdsxy8Y9K8E3NnnY4onMFnTe92R4hNMS1YwwDjIrZzvWeYc68YNHQG69KTEk4pVLw2cylLt9sn7u9NlPZSU18/LafexeOqSTgHs26rdLuwSg1x8ioxUlklbHXVbd3KFYYFvpqbluJ7ZnPMuFXJhvAaRM24GsY5xnH67Gmqy6vp9/czNDJWiE7mjrV5TjMtL7Xww4/28fnnNBX+sfeUQwe8dUNE3YkbrdD98NG95udowZqYnH/z6X5aJk9iUEfN/3+2QPTPo3E5r715ivo96/EQKNiu9y+n/Pwy1r33+zjDiuADupz1/rELh6tMcU6Fk1P9QziC7asNUStam97to+lIV7AddwQu7rN0DuNh6fcmrAW4acEamizUVO5aNMNwkZxdBj2lghR8BVsx67BJ1aDFSndSOv3poc+/95VO/vJFxYTTw7g89dT9+VXUnP254doEoxW6C7v20fy7pyg7e2Z0LKYjymC9Q/s5VUnN31AWwrEzYr+73vt3rHhjunXZAoNidNoF7gyTijxGKSLdPkLBkpakQYYwkn14dMv9nDfQG7NtTp2grFKI0g+CJeIFf0n7CDEkndLIIPnoYWBUWKw1CPxQICtQTaUfjgSeCjJ8958Pq4tLEQn+QgRGSpbPbfwh08NSGqkoZKaKkaRBaDxX1LsrY+78eyrdxnf+hbAC1Uz6AQLpIMjYBSBlpVIhbaTbR4jASHTsU6+2R+SyIXuiWvnoYWCkBf/4ZU2MlEd24xSME5SR61mIdNc3JKBYhAQLEbnzFyLIt5RGtjwMksFIC/6GWz7D1KPvz0lqLG1Cd/VPf874/Qwqf+ZjWq9UkOAvRJCPKY2mi5ryLgWwdHZDbHfJ7IbCCPZGNC4PdgyZK39mgnxM65UKEvyLgFTbKI1YW3UU56bvMrn/FD2Vbh6duZjHL2sybGO0ktIwmpuh5HCabXq5Lhqm3HpoJHcNo2PttVNpneDGO3Qa5Xcz8PZC6squjr//VCW0o9YitFeNp3XiBI45FVOeWpiRcxpaaxHdyltM1qT5irR6FjhxlRPTtD6EgHLiiS98mbkXTEj6AmO0v5HycbR+4Ga21s8eHUtXlCvX7mOpOnMZ9tc7ykFrGBmivWo8LZMnMhi2QlqPuBj0LsM1MNd4/+n27AcvHO3+k7TUTmQwTGwtU+c01xfuYkb6/IsYO+wKM7GvePt7u9LN7Yu+FjGWyBox3p11rtcChPf9X3dkD7e/8Ty1A72crJpAY8tqdswqMw5uZv31QcxkjkfOuun74yrjc5ZOz37YE8PC86fidcSqbOZyfYWQPNLnX8TYYVeYiX3F+5xRATmeKFciI/VcFw27wgJ/8++eomI4INcwue8UR792D1sWl+G9JDD3iFbGBIVUM+E35eqNOG4Eqdo1Rj0xHDPpA5RCbPEgrZ4FjlXFzWzvK97neirdMWPxRLkSed5mSpLYKqG53/7G86OBP0TZmSFu3h7ZJjvaypigkGom/KaH3BHHjcBsn4mKtlGS0+YSy1KILRYk+GcYq7aDqWJVcTPb+zLb30j5OB6/LDKfm0iUK5GEb67XAoT6/s1aYicZuG0d6ztm3F/vKIcyF2Asc6xHXJzpWWR+zgz2OcA4dr3378y/QMemmFTRV3f18e1H/DzxoJ9HHvEz7/VhKcQWGZL2ySDZWL1oVXEz2/uKt78bps7h9SQ6Y0Ltp+H59J5KN/8+6wY27/sAS2cHzuWOH/wTi7eeZPJp8Nc5eY/vJTj7lYwbx4fmfvK5CUzuOxXz/gkDw5jq8mpoXM6uN08xbe8G6vRxutVkjrz/Lq64YAJsWxtIC41XtE6oGe32GXx7IeeVXc1dy0zOWXCf9XvWU89xhiljHGeo37OeXcAVH/985PahdE8YvjcrmbKrEh28+a89DX/zPJyasYTrpBBbNEjBN4PkuhBZLGze18lzG3/I3+zZFJFWGXS4+M7ly7lh5Wf48NG9BhaSGs8VNloxJsCwW8oJ371BsXNWZP7eVebixoaVPPGr2uS7hBIwb912Lj/9Autc32e8Ojs6PsA4Kpf9c+T3NygQH3y2Dn9/7H1hQYjUCRGIjWOOyHUhslhYOruBLx1+ISafXjE8xKdebWfDlgMmFpI2WzEmoGbJEjz3rcVZXw9KcbLGYRj4AYZGhvjZn/41bi0jVbp6B7jbuSki8ANUcib2+xsUgmMczELjhSBSJ1hG0j4ZRFYv2ofrRI/heO1AL129A+adSnZaMVqgZsmS0XRX42ONaBN7eIARR2yKCNK3I6x3V1I/cNz4zejvbyDq5hw/bHznXwgidYJl5M4/g+S6EFlMxOscqndXmncq2WnFmCSJLvJlwxMMx9O1I7xr0Qy8TDZ+M/r7GxSI62YPospdEWMFI1InWEaCfwbJlDdqKVK3ckWMauagw8XjlzVx16IZxp1KBlaM7bNvstR95Wtr4+D8Bey/ZCYH5y/A19ZmuN3mfZ3MW7edC1e1M2/ddjbv6xx9r3lOMxXKZfi5CkcFf37h52LUQe2wI1w6u4Guy++O8fyNMYWHQP5/ycOBRWAoqJlGTfP/xvPAA6PpK2d9fUorxoX8Rgq+QsHga2vjrW98E+fxbror3Tw790Y+9MVbR4ujMTpCUVaM7bNvouXo/0soA2FVMiOhrEPHJtp/eRet1ePxOh2UASOAp9xN81WrabqoKbN2hKlq/AhFg8g7CALWu6+sylwY2TlCmFSF2CMKOUa6fQQB691XVmUuEi0+S1lqQRCygAR/oWSwKgNhVebCrDA7Op6q1IIgZAEJ/kJCrBY/851E3VchKY5vzT3GWVdki6Yqd1H3Pi+0uAPpnI5NhnaOEQVbI/kGo6JrkHjFY0GwG+nzF+ISXfzMpnm7HUQXVD925Z3sPPkjvH1eylTZqMjavu59/PzQzxkcHsQ7qwzNMJ9+UTHptMY1qYa6GZ3U1AVFenxHoO1Oli55mHPrBil/9LtM7DvFyaoJnL39CywIFWxDxdV4RddgUVb7jnKFnsTlQ8vp5JoY5VJBsBsp+ApxsVvjP5uYdeN84sM9/KLr4RjjcCM8VR62HukyLNz6uhvwvjQudSMdA+OVfl3OqqG/5tmRa4DEPgeCEA8p+AopY7fGfzYxk4L+2Z/+1VLgh2Ax2KRA2/3yUKykxOAg3RsfsjbBKBllgPHqLHc7N42+Tne1ryCYkbPgr5S6Xil1QCl1SCm1KlfzEOJjt8Z/NjELnGayCkZMqZpiWqA1kkCAJC6MJheVenVi7N9prvYVBDNyEvyVUg7gEWAxMBP4pFJqZi7mIsTHbo3/bGIWOM1kFaIZLQabFG6dk2sMP2f5wmhyUenSkwB7VvsKghm5uvO/EjiktT6stT4LPAHcmKO5CHGIVqrMy6X+HZsCHThhnTgQ0Li5ufwl1k5cycX/48tUv+8r1P6Pr3NF3TzDrp9bZtxiLMXRuJxdl32dLiYzohVHRyazeuhz/PctX4y5MGrg5MkuVn9tXmLjHhPjlQ3+5TS4K9OWdhaSp1g626yQq26fBiC8gnYU+GD4BkqpO4A7AM4///zszUwYpf1w+5jx+Ben0DxnQ37oEoXLFlROgLPvwnBQvjjYiQOw1AFlNT/ivonnMlgWuM8ZdA3QcWoLN168jN8c/U2sqXpo3396BY58BRb0sXl4Hl95owdnQz3KNR495OZMzzie7JzE4tl/wa17fkb12X4UoIDqQVi++SQ/9N8Dd8Qx7jHoBqpcsIbWsG6gjMo/ZIkY2Y00DIIyecxC72xLlpx0+yilbgau11r/dfD1rcAHtdZfMtpeun2yT7QLGRjr4GQdgw4ZQ2qmAbDw3GG8rth7HENDHaN9uyr5q8rFvDLh96iyMT8BPeJi0LsM/+nZPLrlfs4zsHDsqYb7756WsnFPQu2gAsCqTlI+HLOQO9vMyMdun05gWtjrqcExIYeE+w1/dcdXYzpiRo3Hc4lBh4whvqPgO8oxp7ExiaHUg9G+hwZ4q/qViMAPoMqGGFe7BSCud6+ZpMTmfZ38/efW8evZf8Yb77uEjmuujUkxJDKuLwQMTXaS6YjK4jELubMtFXIV/HcB05VSFyqlyoFPAM/maC4CY3f63j4vGs2IHjHcLucuZFZ1cWqmQs1UpviHDd82lHow2XeP09iQRbl6AeirNC4sn6g2Pk7IlvLWlx7nvIFeFOA63s3Re+6NuAAk1A4qAHIRUFM9ZiF3tqVCToK/1toPfAnYAuwHNmmtX8/FXAodI0mAVIpWrXtbLfW+RwezrEsSWNHFCUkoLFhD8+l+KkYiL2QVIyM0v901WhhOtO/zjK8f6CE3AJMb32HEEZk+HXTCU9eqCOOe0M/l4k9+hDt3PR5jS1l29kzE3WlC7SCbCX/yi+d1kAy5CKipHtOos+2sS9H56Wttm1s+kbM+f631c1rri7XW79VaP5CreRQyoZxwZ+8AGujsHeC5jT/k6D33BnKXWo8WrRJdAKzc0Ue7kBkdf/XTr2b2AmDUdhlO5cQxk/bG5TR9ZAMt/QrPkB+lNZ4hPy3HT9LUEywMh18ATFo6V7z3Jlwq0hhFj7jwn1gEwAUXdDP1il6GqobRBHL9mxbCorre0fpIKA/t7+pCAQ6TWlv43WlC7SAbiX7y8/Z5aXmpJe0LQC5ahVM9Zs2SJRz7u5s4XqMYIfBz/M5iuGtcmy0XwnxD5B0KGCM9ebPi48kaB70/+YZpsdZM675MlaG1juyIiXN8SE+SwFKXRscmeOYLoGNvyY9Ry58NtsZ2xljV1jcxQInofAqeiyHfB9iw5QBP9n+OqWUGnrlh+zYrJkYTXVzMVrePVa+DVPA9cg/dP3wa/7sa5zmKus8so+ZvM3u/l2qHUSbPQy6IV/AVYbcCxij3a1Z8dPuGWfFSC2Dcetg8pznp7h67c9KWW+0al8PTd8R8vr1qPK0TXFQ5V9E75OarWxcDtwWCpVVt/eATQ/S8Lt74EK1eL85J1dQ1HqXmtU9DzVSW3rAGeNCwSyhcvdNKjnukfFzM3enS2Q1Z6eyx6nWQNB2bqOn9N2o+FnZuev8NOt6fUVexmiVLUuomyth5yENE26eAMcr99lS6Dbc9UR2/WycVv2G7c9JJdWlE5efbq8bTMnkiXpcTpaCsvJeyuqd44MUfA9BfaazlbzYeIjxdg9b4j/vwvjiM782KiDUF0T64o6mnIGb55mGl0MDQ5DqmPnBfzvrJrXodJI1JBxXb1qa33wyRsfOQh0jwL2CMcsKPX9YUa3TuhMevC3SsxLuDabqoia03b6Xjtg623rw1YT+/3TnppLo0ovLzrRPcowu5QqiyIfqrArWO9UO30K/LI97v1+WsH7ol7pwML0jDZXR3nBt4EQpkjcsDKZ6W3sDfUXe1Znnoaeu/wcw/7Kdxx4s5XUiUyOsgZQrMzSxj5yEPkbRPARNKB4TnhG+45TNMPfp+Xrt/NW7fMCeqA4F/56xAkLbzDsbo+KnkpEP59K+dq6k9Hfu+4V1zxOrYI6b9/GXBdszH3r2Sk2UBxcx6dYIuPYn1/uW0nbmSljhzM70g9YcdLyyQmeXoQ4E92ytdrRK60LfubeW9r3Tyly8qJpx+F5fnW/hWjqQ+z5qpJrWW/HQzCz8PMau/iwwJ/gWOYU54dgO9s8pYYZDDj7mDMSlwpnX8JAhfSfz4dYrPP6ep8I+9H7dLo3E5u948xaV772WK33glb015HRBIRT3bew3Pnr0m4v2GBCkqp8djvOpzfFixORjIolfkRhuypJqHtkq6MgpNFzVxzesjeLfGr7sYFb9Ng+OCNQnrIflG00VNRRnso5G0T5FiKYcfkjPwHQH0WA47uv89g4SvL9g5y8G/3KDoqQ4IpCUSkdu8r5P6Peup5AzNp3pj+vldahyrr/p7IPUUlWG6xjFCXeM7wYOMBbJcrsiNqU1YbPGNJlHdJemW0MblCeshQm6QVs9Sxmr7YwZpfKwRTezvoELRcVtH3M/OW7ed/xi4ibLgAtxAt4+bY04HU/zDNM//ZsTFLtW2yYg76knV1DWepqauK+ZJ6cJV7QbfJCD29qd1mb2TtEuXZv8lM8EoJijFJfvfKLpWyGJHWj0FY9ItxqWZMoJADcIomETXJoxSGl29ZXSVT2aqCvTYN/X109TXH/hAzTSIenQPpagCaYt1rOk4xrf/mDinazVdU++uNFz3kEr3U7IXKrtkFEzTXMG6Sym1QhY7kvYpNky07Q0xK7pZKcbZlDKy0l1hltK46cSrrPcvj+niGWCcaU7ZKG2x6sV7mf5P96ctT2FX91MqK6dTlTSIlgI559oPxZU4KKVWyGJHgn+BYqipk2xANpEzsFSMs6l/20ptwiwPffv+53nBcS2rhv6aoyOT+ZXXzY7n6jn8xCR2fm4tv/632LkYahiVDVFeuyVteYqlsxt4cNllNLgrUZCyIUsqtYNUJA2MLqq+ZzbTu2B2rMRB2ZO0P3IpzZM/WDKtkMWO5PwLEDOd9z3nrGD8gMFjfrwcfqqpmxY3mGW4W3otfAvrxMtDH3j8BTZsOcD7Dv2YL738UkSn0BkX9K74JNd9duxiZlZj0Bre/cM6ID15CjtItXaQbLePWZ3gZI2DL3wxVsnUM+Rn69unaJ/3OVqP/7boWyGLAcn5Fxlmd4YVAyZ513g5fAM5A0tksX87Xh46lMff+cE7IwI/wLghcH1vE4QFf7MaQ0ihE3IvmZxq7SDZVlKzeoDbN4xRaDjmdMDQAE37nqEpSw0BQuaQtE8BYqqpMzLJ+APxAnIyNYJwgikj35uVHHy2jv1PeDjYdh6+cvutmK2kNAIBKxa3bzgiNWZUY9AjLs70LBp9nSnJZKtkS83TrB5wotp4+1FvhDxdnSskhwT/AsQsOH2//C+Ty+GnU7RtXI7P/Vm8uyfg73cCCn+fA++/PpeW6bVRLcOKiXxvjfEK3+PnlkUUTYd8H6Bl6vV4hjVKa+qGRph5bBb+07OBzEkmJ0M6tYNkvByMLqpnXGNSIOFUjIzQfKo38CJPV+cKySE5/wIkrrerY6e1HH4cWWSrff52e56m41n7zQduZMFP/isi9TPohEc+dDG/rB5TAL39nFdoUf8SUaweYByrzn6W3dUfzapBut1yzal414bXCU5Wl/Gja0dGpUBClGnNP/WcCLTRuipzvkgrF4bwhUq8nL8E/wIlrcCR0ATdWtE20YKgZEnVH6D9cDur/mMV814f5lO/1kw6zaim0X9Mn0TfH1eNbruj/M6E2vvZIBPm7OlejE0X3GlNx5upr+Wwk1wYwhcyUvAtQtLS1Elkgm7xsT7RgqBkSdUfICRTvXOWg52zIt9TujfidX3ZCeOdZDmPHa+dM9Wfa7oLvUwX3J1TDy35UeCNJz8hwT85JOdfisQLdGE1gkSernZb9CXjDxBeG/C+ax7cwrt4Kl0OBs30+60ubEulOG5AJszZ0/HL9bW18c2H3+HJB/088oifea8HLkz51sOfC0P4YkWCfyliFuiUYzSfa0XAy0ohNhmsdrlEr4AdCQvw0YzvWxJRNB2/eG1qC9tsFsHLhDl7qhfjUCrF1d2LAmpPw+ef03zsYHVCQ59skwtD+GJFcv6lSDCQtZerMSG04WGa3/XTdKoHaqay8Dw33iFfzEczLeBlpZYRqg1cd2QPt7/xPLUDvZyoVjx+HRHFyltm3MLXrvpa7EFSWdhmswheJnL+kFox1KxW8Halm3tueSCrRfBESM4/OSTnL0TSuJz2k6/S8uYzDKpAW5/X6aSlugzOVtLkO8KxCYCKbfnLtICXlVpGVzDwN//uKSqGhwCoPa35/HOgGOGPVzbEX3WaysI2mx2p7DLCiSYVzwCzlEntQG+MJ0GuyXdTnEJCgn++Y4NyphGtx387GvhDDJaV0TrBTVNfv6k5SqYEvJIxCKl3V3L7ludHA3+ICj/8/e4pTF+fgScTgxXNvjcr6X5tAv4nZ6YUhLJlzp4Is8J9yA96YGiYf9j0e1Y++TvbLlLpkGlTnFJBcv75TAbNVkyleYN2iEbmKJkq/iVrEHLXohnUDvQavpexwl+UCJ7vzUq8u9z43yUt85R8wKhWMOhw8ejMxaOvh7W2rDAqFAYS/PMZm5QzjTCV5g0u4W/q66elX8V3ArMJI6XNweHB0RbOaJbObmB4cp3hexkr/EU5UnW/NgE9HPnkFO54VUiEF+41gVx/6wdu5tfTLjfcPlvuZEJmkbRPPmNznjmc5jnNo965ISKW8Lsqafqfa2jKwoKeVAxC3vOVLxsW/lJtM7VEWK3A/+RMjFRNC7XlMJRKMSpEG5Fr8TshfeTOP59Jx2wlATE6+q4aWvoVTX0DWfdZTcUgxO4202Qp1pbDaF0hh0HRH3Ivfiekj7R65jNGMgx5oK1iN6Gcf8RTiKMi73rMwymVlsNMtaQK2UFaPQuVUIDPQLdPPhEK8Fa7ffKBUmk5zFRLqpB75M5fEAShSIl35y85f0EQhBIkreCvlPoLpdTrSqkRpdTcqPdWK6UOKaUOKKUWhY1fHxw7pJRaFbvX0sXQlL1ASMZEpGCwUcjNDhIJ7QlCMqSb838NWAb8S/igUmom8AlgFlAP/FIpdXHw7UeAjwJHgV1KqWe11smLvxcZ0YW1fFtWH4/o4mdowRNQuDnw6GJ7aIEd5KTmEl0UDy2EA/K6NiLkL2nd+Wut92utjVZ73Ag8obU+o7X+E3AIuDL455DW+rDW+izwRHDbkieevnu+E09jvWDJ4AK7VEh2IZwgJCJTOf8GIFwI5WhwzGw8BqXUHUqp3Uqp3T09PRmaZv6QCX33bFGUGusZXGCXCqkshBOEeCQM/kqpXyqlXjP4k9E7dq3197TWc7XWc2trazN5qLwgE/ru2aIoFzxlcIFdKqSyEE4Q4pEw+GutP6K1vtTgz8/jfKwTmBb2empwzGy85LFqZJKP2O3olRdECbkB1kxfMkTznGYqHJHnON9ctoTCIlOLvJ4FHldKfYtAwXc68AqggOlKqQsJBP1PAJ/K0BwKikJeTFOUC57ybIFdIS6EE/KbtBZ5KaVuAv4PUAv0Ar/TWi8KvncP8FeAH1ihtX4+OH4D8BDgAH6gtX4g0XFkkVcOiOMjYMVtq9BJxl9ACJCKi5iQWeIt8pIVvkIscTSFNg/PK3qtl0LUGso1paJ1VGjICl8hOeK0ORZyS6pVpK0yeYqy3bfIEWE3IZY4bY5dg4XbkmoVaatMnqJs9y1y5M5fiCVOm2Mht6RaRdoqk6co232LHAn+Qixx2hwLuSXVKtJWmTxF2e5b5EjaR4glTpvj0uAmxdztI22VyVOU7b5FjnT7CIIgFCnS7SMIgiBEIGmfIibZhUpWFm9Fb/PQzINc8cf/k/Iq2HxYGGR4nt7ty9nq3nw4J0LxI8G/SElW/92Kn0D0NpeffoFL93wf1NnATpLUvM8HHwDD87TjXjh+gqbTvcGJZk/LPx/OiVAaSNqnSEl2oZKVxVvR29zt3ERlKPCHSELzPh8WBhmeJz1Ea/X4yA2zpOWfD+dEKA0k+BcpyS5UsuInEL1NvTpufHCLmvf5sDDI9Dw5HbGDWdDyz4dzIpQGEvwLECterskuVIq3eCvkLRzdF9alJxtP0KLmfT4sDDI9T/7h2EFVlrafbyKv43w4J0JpIMHfiDwz7g4nlKP29nnRaLx9Xlb9xyruf/n+iO2SXahktnjrw++rZfXTr9Jp8GSw3r+cAV0eOWhV875jE3Xv86IcIxHD8RYGRV/0vr79R2kb3hudJ8eIgy/5+mI31sOAHqsBJPl7Ecrn+7u6QOvRfH74BSDTi6USXXwE+8j3cy3BP5qQoqXvCOn8R88URjlqgCcPPBnxBNB0URMtV7fgqfKgUHiqPHFVKZfObuDBZZfR4K5EAQ3uSh5cdhm/+kNPTC0gxJ7qj/La5fdDzTRABf5e8nDiomjwHNfUdeK5wodzvB/QOCfXmKpAGl30fvrWRt4eeQnNWIE62QtA00VNfKz+TvSQG61h5Kybd7038xvfrfRXegLfSxmkgFKoAVjJ59csWYLnvrU46+tBKZz19bYpY1q5+Aj2UAjnWhZ5RbPx0mDgj6JmGqx8LTtziEPjY43omARMAE+Vh603b7X1eBeuajc8mgL+tC7FFa8pnOOFTy3E2xeb9x4566bvj6tGXze4K9m5an5S05m3brvhk83ovlrcYHYWWnotH2f/JTPB6P+bUlyy/w3L+0mVg/MXBIJRFM76eqZv35bx45cS+XKuZZFXMuSZcXc08cTFMqE6mREhtxTOsdl3U67eiNepqIsmLHbb5Oeb63y+FJOzRyGcawn+0eSZcXc08cTFMqE6mREhtxTOsdl300PuiNepXJQSXuBs8vPNtfhZri8+pUQhnOuiDv5WumJiyDPj7miaLmrilhm3xIxnSnXSrBaQspBbxyY4a1BMTXCOjQqzesTFmZ5Fo69TuSj52tr4zi++TvvmL/Polvu57sie2H01Lg/UMpKtbcBop9SFq9q54fUqOj+7MiP5fCvk+uJTShTCuS7anH9aVnxx/GvzhYL0mDWyhwSonAiLv5HwHEd/53kTb2XrKw0pq4saWQ8OOlz86OpP8aEv3pq2Umn0imjIveWlSEdkj3w41yXp4WtWIMxEUVSwSJ4V0zNdlEtYSBaEDFOSBV+x4stD8qyYnuminJVV04KQK4o2+IsVXx6SZ8X0TBflSsHyUihcijb4ixVfHpJnxfRMF+VKwfJSKFyKVtJZrPjykDj2kLkg09aDoaJuMVteCoVL0RZ8BUEQSp2SLPgKgiAI5kjwFwRBKEEk+AuCIJQgEvwFQRBKEAn+giAIJYgEf0EQhBIkreCvlNqglPqDUqpDKfWMUsod9t5qpdQhpdQBpdSisPHrg2OHlFKrDHdc4IQrOaZqL1iUZMkeMyU1VxvJd/s+QYA0+/yVUguB7Vprv1LqGwBa668opWYCPwGuBOqBXwIXBz/2X8BHgaPALuCTWuu4Nka29flnQa0zH5Uc8wIjRU9XJbsu+zor3phu2yKotNRcE+zXyoJBI6VQVVGRknRzPqhCCoVNxvr8tdZbtdb+4MuXgZBIy43AE1rrM1rrPwGHCFwIrgQOaa0Pa63PAk8Et808WfLm3bDlQIzn7cDQMBu2HLD1OAXHtrWxUs5DA9TvWU9n70BaPrzhGHkcDw4P0rq3NeV9GvkHt7zUYvhEYcWn1wqF4AErFDZ25vz/Cng++O8GIFy792hwzGw8BqXUHUqp3Uqp3T09PenPziT4JGvCnQhRcjTBRLnTw4mI1+leKDOh5prMBcUupVC7LiKCYEbC4K+U+qVS6jWDPzeGbXMP4Ad+bNfEtNbf01rP1VrPra2tTX+HWZITFiVHE0yUO7v0pNixNC6UmVBzTeaCYpdSaCF4wAqFTcLgr7X+iNb6UoM/PwdQSt0OfAz4tB4rIHQC08J2MzU4ZjaeebIkJyxKjiYYKHoOMI71/tiaSzoXykyouSZzQbFLKbQQPGCFwibdbp/rgbuBj2ut+8Peehb4hFJqnFLqQmA68AqBAu90pdSFSqly4BPBbTNPluSEbfe8LRYMfHBfm3MfLziujdgs3Qtl00VNtFzdgqfKg0LhqfKkXexN5oJSs2QJnvvWpu3TWwgesEJhk263zyFgHIwmbl/WWn8h+N49BOoAfmCF1vr54PgNwEOAA/iB1vqBRMcppG4fITk27+ssCMnjXHgmS7ePkC4l6eErCIJQ6oiksyAIghCBBH9BEIQSRIK/IAhCCSLBXxAEoQSR4C8IglCCSPAXBEEoQST4C4IglCAS/AVBEEoQCf6CIAgliAR/QRCEEkSCvyAIQgkiwV8QBKEEkeAvCIJQgkjwFwRBKEEk+AuCIJQgEvwFQRBKEAn+ydKxCTZeCi3uwN8dm9La3eZ9ncxbt50LV7Uzb912Nu/LjqWxEKD9cDsLn1pI42ONLHxqIe2H23M9pYT42to4OH8B+y+ZycH5C/C1teV6SkIB4sz1BAqKjk3QdicMDQRe+44EXkNKdpCb93Wy+ulXGRgaBqCzd4DVT78KkJdWhsVG++F2Wl5qYXB4EABvn5eWl1oAMm7RmCq+tja8965BDwbm7O/qwntvwIdaLB6FZJA7/2TYtnYs8IcYGgiMp8CGLQdGA3+IgaFhNmw5kOoMhSRo3ds6GvhDDA4P0rq3NUczSkz3xodGA38IPThI98aHcjMhoWCR4J8MvqPJjSegq3cgqXHBXo71HUtqPB/we71JjQuCGRL8k6FmanLjCah3VyY1LtjLlKopSY3nA06PJ6lxQTBDgn8yLFgDrqjA7KoMjKfAXYtmUOlyRIxVuhzctWhGqjMUkqB5TjMVjoqIsQpHBc1zmnM0o8TUrVyBqoics6qooG7litxMSChYpOCbDKGi7ra1gVRPzdRA4E+h2AtjRd0NWw7Q1TtAvbuSuxbNkGJvlggVdVv3tnKs7xhTqqbQPKc5b4u9MFbU7d74EH6vF6fHQ93KFVLsFZJGaa1zPYeEzJ07V+/evTvX0xAEQSgolFJ7tNZzjd6TtI8gCEIJIsFfEAShBJHgLwiCUIJI8BcEQShBJPgLgiCUIAXR7aOU6gHeyvU8LDAZOJ7rSWQJ+a7FiXzX4uI9WutaozcKIvgXCkqp3WZtVcWGfNfiRL5r6SBpH0EQhBJEgr8gCEIJIsHfXr6X6wlkEfmuxYl81xJBcv6CIAgliNz5C4IglCAS/AVBEEoQCf42opTaoJT6g1KqQyn1jFLKnes5ZQql1F8opV5XSo0opYqyXU4pdb1S6oBS6pBSalWu55NJlFI/UEp1K6Vey/VcMo1SappS6ldKqTeCv8P5a+CQQST428sLwKVa60bgv4DVOZ5PJnkNWAb8JtcTyQRKKQfwCLAYmAl8Uik1M7ezyiiPAtfnehJZwg/8g9Z6JnAV8LdF/rM1RIK/jWitt2qt/cGXLwOp+TsWAFrr/VrrYnaavxI4pLU+rLU+CzwB3JjjOWUMrfVvgJO5nkc20Fp7tdZ7g/9+B9gPlJyDkgT/zPFXwPO5noSQMg3AkbDXRynBAFHsKKUuAGYDv83xVLKO2DgmiVLql4CRw/c9WuufB7e5h8Cj5Y+zOTe7sfJdBaFQUUqdA/wMWKG1Pp3r+WQbCf5JorX+SLz3lVK3Ax8DFugCX0SR6LsWOZ3AtLDXU4NjQhGglHIRCPw/1lo/nev55AJJ+9iIUup64G7g41rr/lzPR0iLXcB0pdSFSqly4BPAszmek2ADSikF/BuwX2v9rVzPJ1dI8LeXfwbOBV5QSv1OKfXdXE8oUyilblJKHQX+DGhXSm3J9ZzsJFi4/xKwhUBBcJPW+vXczipzKKV+AvwnMEMpdVQp9dlczymDzANuBeYH/5/+Til1Q64nlW1E3kEQBKEEkTt/QRCEEkSCvyAIQgkiwV8QBKEEkeAvCIJQgkjwFwRBKEEk+AuCIJQgEvwFQRBKkP8Phe2gNufx71YAAAA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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code here\n", - "for i in range(1,5):\n", - " plt.scatter(X_train[:,i-1],y_train)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "XMXb9lTyzGHE" - }, - "source": [ - "## Model Definition\n", - "\n", - "Using TensorFlow, build a model with the following definition:\n", - "> Input of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 5 \\\\\n", - "> Dense of shape 1 \\\\\n", - "\n", - "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", - "\n", - "Use Gradient Decay with appropriate parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "id": "r32N1xK2ziOs" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/100\n", - "2/2 [==============================] - 0s 103ms/step - loss: 11357.2617 - accuracy: 0.0000e+00 - val_loss: 11758.5664 - val_accuracy: 0.0000e+00\n", - "Epoch 2/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 11354.8926 - accuracy: 0.0000e+00 - val_loss: 11756.9033 - val_accuracy: 0.0000e+00\n", - "Epoch 3/100\n", - "2/2 [==============================] - 0s 23ms/step - loss: 11352.7051 - accuracy: 0.0000e+00 - val_loss: 11755.2324 - val_accuracy: 0.0000e+00\n", - "Epoch 4/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 11350.2988 - accuracy: 0.0000e+00 - val_loss: 11753.6562 - val_accuracy: 0.0000e+00\n", - "Epoch 5/100\n", - "2/2 [==============================] - 0s 26ms/step - loss: 11348.2832 - accuracy: 0.0000e+00 - val_loss: 11752.0742 - val_accuracy: 0.0000e+00\n", - "Epoch 6/100\n", - "2/2 [==============================] - 0s 24ms/step - loss: 11346.2910 - accuracy: 0.0000e+00 - val_loss: 11750.4756 - val_accuracy: 0.0000e+00\n", - "Epoch 7/100\n", - "2/2 [==============================] - 0s 23ms/step - loss: 11343.8389 - accuracy: 0.0000e+00 - val_loss: 11748.9180 - val_accuracy: 0.0000e+00\n", - "Epoch 8/100\n", - "2/2 [==============================] - 0s 22ms/step - loss: 11341.6338 - accuracy: 0.0000e+00 - val_loss: 11747.3525 - val_accuracy: 0.0000e+00\n", - "Epoch 9/100\n", - "2/2 [==============================] - 0s 22ms/step - loss: 11339.5850 - accuracy: 0.0000e+00 - val_loss: 11745.7725 - val_accuracy: 0.0000e+00\n", - "Epoch 10/100\n", - "2/2 [==============================] - 0s 21ms/step - loss: 11337.3906 - accuracy: 0.0000e+00 - val_loss: 11744.1650 - val_accuracy: 0.0000e+00\n", - "Epoch 11/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 11335.0869 - accuracy: 0.0000e+00 - val_loss: 11742.5576 - val_accuracy: 0.0000e+00\n", - "Epoch 12/100\n", - "2/2 [==============================] - 0s 31ms/step - loss: 11332.9766 - accuracy: 0.0000e+00 - val_loss: 11740.9248 - val_accuracy: 0.0000e+00\n", - "Epoch 13/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 11330.7031 - accuracy: 0.0000e+00 - val_loss: 11739.2754 - val_accuracy: 0.0000e+00\n", - "Epoch 14/100\n", - "2/2 [==============================] - 0s 23ms/step - loss: 11328.5195 - accuracy: 0.0000e+00 - val_loss: 11737.5820 - val_accuracy: 0.0000e+00\n", - "Epoch 15/100\n", - "2/2 [==============================] - 0s 22ms/step - loss: 11326.3457 - accuracy: 0.0000e+00 - val_loss: 11735.9092 - val_accuracy: 0.0000e+00\n", - "Epoch 16/100\n", - "2/2 [==============================] - 0s 23ms/step - loss: 11323.9600 - accuracy: 0.0000e+00 - val_loss: 11734.1318 - val_accuracy: 0.0000e+00\n", - "Epoch 17/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 11321.7686 - accuracy: 0.0000e+00 - val_loss: 11732.3320 - val_accuracy: 0.0000e+00\n", - "Epoch 18/100\n", - "2/2 [==============================] - 0s 24ms/step - loss: 11319.4082 - accuracy: 0.0000e+00 - val_loss: 11730.5264 - val_accuracy: 0.0000e+00\n", - "Epoch 19/100\n", - "2/2 [==============================] - 0s 25ms/step - loss: 11317.2188 - accuracy: 0.0000e+00 - val_loss: 11728.7461 - val_accuracy: 0.0000e+00\n", - "Epoch 20/100\n", - "2/2 [==============================] - 0s 22ms/step - loss: 11315.1484 - accuracy: 0.0000e+00 - val_loss: 11726.9336 - val_accuracy: 0.0000e+00\n", - "Epoch 21/100\n", - "2/2 [==============================] - 0s 22ms/step - loss: 11312.5479 - accuracy: 0.0000e+00 - val_loss: 11725.1553 - val_accuracy: 0.0000e+00\n", - "Epoch 22/100\n", - "2/2 [==============================] - 0s 21ms/step - loss: 11310.2725 - accuracy: 0.0000e+00 - val_loss: 11723.3477 - val_accuracy: 0.0000e+00\n", - "Epoch 23/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11307.7695 - accuracy: 0.0000e+00 - val_loss: 11721.5684 - val_accuracy: 0.0000e+00\n", - "Epoch 24/100\n", - "2/2 [==============================] - 0s 28ms/step - loss: 11305.8027 - accuracy: 0.0000e+00 - val_loss: 11719.7070 - val_accuracy: 0.0000e+00\n", - "Epoch 25/100\n", - "2/2 [==============================] - 0s 26ms/step - loss: 11303.5518 - accuracy: 0.0000e+00 - val_loss: 11717.8867 - val_accuracy: 0.0000e+00\n", - "Epoch 26/100\n", - "2/2 [==============================] - 0s 25ms/step - loss: 11301.1455 - accuracy: 0.0000e+00 - val_loss: 11716.0430 - val_accuracy: 0.0000e+00\n", - "Epoch 27/100\n", - "2/2 [==============================] - 0s 26ms/step - loss: 11298.8389 - accuracy: 0.0000e+00 - val_loss: 11714.2158 - val_accuracy: 0.0000e+00\n", - "Epoch 28/100\n", - "2/2 [==============================] - 0s 41ms/step - loss: 11296.7832 - accuracy: 0.0000e+00 - val_loss: 11712.2793 - val_accuracy: 0.0000e+00\n", - "Epoch 29/100\n", - "2/2 [==============================] - 0s 44ms/step - loss: 11294.3545 - accuracy: 0.0000e+00 - val_loss: 11710.3809 - val_accuracy: 0.0000e+00\n", - "Epoch 30/100\n", - "2/2 [==============================] - 0s 43ms/step - loss: 11292.0381 - accuracy: 0.0000e+00 - val_loss: 11708.4541 - val_accuracy: 0.0000e+00\n", - "Epoch 31/100\n", - "2/2 [==============================] - 0s 50ms/step - loss: 11289.8086 - accuracy: 0.0000e+00 - val_loss: 11706.5469 - val_accuracy: 0.0000e+00\n", - "Epoch 32/100\n", - "2/2 [==============================] - 0s 47ms/step - loss: 11287.4658 - accuracy: 0.0000e+00 - val_loss: 11704.6562 - val_accuracy: 0.0000e+00\n", - "Epoch 33/100\n", - "2/2 [==============================] - 0s 37ms/step - loss: 11285.0576 - accuracy: 0.0000e+00 - val_loss: 11702.7168 - val_accuracy: 0.0000e+00\n", - "Epoch 34/100\n", - "2/2 [==============================] - 0s 38ms/step - loss: 11282.4092 - accuracy: 0.0000e+00 - val_loss: 11700.7930 - val_accuracy: 0.0000e+00\n", - "Epoch 35/100\n", - "2/2 [==============================] - 0s 46ms/step - loss: 11280.2363 - accuracy: 0.0000e+00 - val_loss: 11698.8359 - val_accuracy: 0.0000e+00\n", - "Epoch 36/100\n", - "2/2 [==============================] - 0s 30ms/step - loss: 11277.8418 - accuracy: 0.0000e+00 - val_loss: 11696.8174 - val_accuracy: 0.0000e+00\n", - "Epoch 37/100\n", - "2/2 [==============================] - 0s 23ms/step - loss: 11275.2012 - accuracy: 0.0000e+00 - val_loss: 11694.8311 - val_accuracy: 0.0000e+00\n", - "Epoch 38/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11272.7305 - accuracy: 0.0000e+00 - val_loss: 11692.8340 - val_accuracy: 0.0000e+00\n", - "Epoch 39/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11270.2227 - accuracy: 0.0000e+00 - val_loss: 11690.7461 - val_accuracy: 0.0000e+00\n", - "Epoch 40/100\n", - "2/2 [==============================] - 0s 22ms/step - loss: 11267.9434 - accuracy: 0.0000e+00 - val_loss: 11688.6221 - val_accuracy: 0.0000e+00\n", - "Epoch 41/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11265.3096 - accuracy: 0.0000e+00 - val_loss: 11686.5146 - val_accuracy: 0.0000e+00\n", - "Epoch 42/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11262.5527 - accuracy: 0.0000e+00 - val_loss: 11684.3633 - val_accuracy: 0.0000e+00\n", - "Epoch 43/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11259.9287 - accuracy: 0.0000e+00 - val_loss: 11682.1865 - val_accuracy: 0.0000e+00\n", - "Epoch 44/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11257.2637 - accuracy: 0.0000e+00 - val_loss: 11679.9854 - val_accuracy: 0.0000e+00\n", - "Epoch 45/100\n", - "2/2 [==============================] - 0s 18ms/step - loss: 11254.7871 - accuracy: 0.0000e+00 - val_loss: 11677.6973 - val_accuracy: 0.0000e+00\n", - "Epoch 46/100\n", - "2/2 [==============================] - 0s 18ms/step - loss: 11251.6729 - accuracy: 0.0000e+00 - val_loss: 11675.4473 - val_accuracy: 0.0000e+00\n", - "Epoch 47/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11249.0820 - accuracy: 0.0000e+00 - val_loss: 11673.1680 - val_accuracy: 0.0000e+00\n", - "Epoch 48/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11246.3262 - accuracy: 0.0000e+00 - val_loss: 11670.8262 - val_accuracy: 0.0000e+00\n", - "Epoch 49/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11243.5098 - accuracy: 0.0000e+00 - val_loss: 11668.4580 - val_accuracy: 0.0000e+00\n", - "Epoch 50/100\n", - "2/2 [==============================] - 0s 18ms/step - loss: 11240.8535 - accuracy: 0.0000e+00 - val_loss: 11666.0430 - val_accuracy: 0.0000e+00\n", - "Epoch 51/100\n", - "2/2 [==============================] - 0s 18ms/step - loss: 11237.9043 - accuracy: 0.0000e+00 - val_loss: 11663.6113 - val_accuracy: 0.0000e+00\n", - "Epoch 52/100\n", - "2/2 [==============================] - 0s 18ms/step - loss: 11234.6357 - accuracy: 0.0000e+00 - val_loss: 11661.2256 - val_accuracy: 0.0000e+00\n", - "Epoch 53/100\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2/2 [==============================] - 0s 21ms/step - loss: 11231.8164 - accuracy: 0.0000e+00 - val_loss: 11658.7715 - val_accuracy: 0.0000e+00\n", - "Epoch 54/100\n", - "2/2 [==============================] - 0s 29ms/step - loss: 11229.0938 - accuracy: 0.0000e+00 - val_loss: 11656.2324 - val_accuracy: 0.0000e+00\n", - "Epoch 55/100\n", - "2/2 [==============================] - 0s 34ms/step - loss: 11225.9414 - accuracy: 0.0000e+00 - val_loss: 11653.7129 - val_accuracy: 0.0000e+00\n", - "Epoch 56/100\n", - "2/2 [==============================] - 0s 39ms/step - loss: 11222.8398 - accuracy: 0.0000e+00 - val_loss: 11651.2070 - val_accuracy: 0.0000e+00\n", - "Epoch 57/100\n", - "2/2 [==============================] - 0s 24ms/step - loss: 11219.9473 - accuracy: 0.0000e+00 - val_loss: 11648.5781 - val_accuracy: 0.0000e+00\n", - "Epoch 58/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11216.6191 - accuracy: 0.0000e+00 - val_loss: 11645.9727 - val_accuracy: 0.0000e+00\n", - "Epoch 59/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11213.4326 - accuracy: 0.0000e+00 - val_loss: 11643.4033 - val_accuracy: 0.0000e+00\n", - "Epoch 60/100\n", - "2/2 [==============================] - 0s 21ms/step - loss: 11210.4160 - accuracy: 0.0000e+00 - val_loss: 11640.6904 - val_accuracy: 0.0000e+00\n", - "Epoch 61/100\n", - "2/2 [==============================] - 0s 23ms/step - loss: 11207.0049 - accuracy: 0.0000e+00 - val_loss: 11637.9346 - val_accuracy: 0.0000e+00\n", - "Epoch 62/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11203.7617 - accuracy: 0.0000e+00 - val_loss: 11635.1201 - val_accuracy: 0.0000e+00\n", - "Epoch 63/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11200.3779 - accuracy: 0.0000e+00 - val_loss: 11632.3057 - val_accuracy: 0.0000e+00\n", - "Epoch 64/100\n", - "2/2 [==============================] - 0s 18ms/step - loss: 11197.1123 - accuracy: 0.0000e+00 - val_loss: 11629.3701 - val_accuracy: 0.0000e+00\n", - "Epoch 65/100\n", - "2/2 [==============================] - 0s 25ms/step - loss: 11193.4033 - accuracy: 0.0000e+00 - val_loss: 11626.4854 - val_accuracy: 0.0000e+00\n", - "Epoch 66/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11190.2051 - accuracy: 0.0000e+00 - val_loss: 11623.4736 - val_accuracy: 0.0000e+00\n", - "Epoch 67/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11186.4121 - accuracy: 0.0000e+00 - val_loss: 11620.4180 - val_accuracy: 0.0000e+00\n", - "Epoch 68/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11182.8867 - accuracy: 0.0000e+00 - val_loss: 11617.2793 - val_accuracy: 0.0000e+00\n", - "Epoch 69/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11179.1182 - accuracy: 0.0000e+00 - val_loss: 11614.1016 - val_accuracy: 0.0000e+00\n", - "Epoch 70/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11175.3984 - accuracy: 0.0000e+00 - val_loss: 11610.9365 - val_accuracy: 0.0000e+00\n", - "Epoch 71/100\n", - "2/2 [==============================] - 0s 21ms/step - loss: 11171.6406 - accuracy: 0.0000e+00 - val_loss: 11607.6738 - val_accuracy: 0.0000e+00\n", - "Epoch 72/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11167.8398 - accuracy: 0.0000e+00 - val_loss: 11604.3906 - val_accuracy: 0.0000e+00\n", - "Epoch 73/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11163.6562 - accuracy: 0.0000e+00 - val_loss: 11601.0947 - val_accuracy: 0.0000e+00\n", - "Epoch 74/100\n", - "2/2 [==============================] - 0s 21ms/step - loss: 11159.8789 - accuracy: 0.0000e+00 - val_loss: 11597.7949 - val_accuracy: 0.0000e+00\n", - "Epoch 75/100\n", - "2/2 [==============================] - 0s 21ms/step - loss: 11155.8135 - accuracy: 0.0000e+00 - val_loss: 11594.4629 - val_accuracy: 0.0000e+00\n", - "Epoch 76/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11152.2344 - accuracy: 0.0000e+00 - val_loss: 11590.9805 - val_accuracy: 0.0000e+00\n", - "Epoch 77/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11147.8457 - accuracy: 0.0000e+00 - val_loss: 11587.3213 - val_accuracy: 0.0000e+00\n", - "Epoch 78/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11143.7402 - accuracy: 0.0000e+00 - val_loss: 11583.6064 - val_accuracy: 0.0000e+00\n", - "Epoch 79/100\n", - "2/2 [==============================] - 0s 21ms/step - loss: 11139.7041 - accuracy: 0.0000e+00 - val_loss: 11579.8594 - val_accuracy: 0.0000e+00\n", - "Epoch 80/100\n", - "2/2 [==============================] - 0s 21ms/step - loss: 11134.9502 - accuracy: 0.0000e+00 - val_loss: 11576.1719 - val_accuracy: 0.0000e+00\n", - "Epoch 81/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11130.9062 - accuracy: 0.0000e+00 - val_loss: 11572.3262 - val_accuracy: 0.0000e+00\n", - "Epoch 82/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11126.4531 - accuracy: 0.0000e+00 - val_loss: 11568.4941 - val_accuracy: 0.0000e+00\n", - "Epoch 83/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11122.1113 - accuracy: 0.0000e+00 - val_loss: 11564.6006 - val_accuracy: 0.0000e+00\n", - "Epoch 84/100\n", - "2/2 [==============================] - 0s 22ms/step - loss: 11117.9277 - accuracy: 0.0000e+00 - val_loss: 11560.5898 - val_accuracy: 0.0000e+00\n", - "Epoch 85/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11112.9297 - accuracy: 0.0000e+00 - val_loss: 11556.6396 - val_accuracy: 0.0000e+00\n", - "Epoch 86/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11108.9258 - accuracy: 0.0000e+00 - val_loss: 11552.5459 - val_accuracy: 0.0000e+00\n", - "Epoch 87/100\n", - "2/2 [==============================] - 0s 21ms/step - loss: 11104.0625 - accuracy: 0.0000e+00 - val_loss: 11548.4580 - val_accuracy: 0.0000e+00\n", - "Epoch 88/100\n", - "2/2 [==============================] - 0s 18ms/step - loss: 11099.1934 - accuracy: 0.0000e+00 - val_loss: 11544.4121 - val_accuracy: 0.0000e+00\n", - "Epoch 89/100\n", - "2/2 [==============================] - 0s 18ms/step - loss: 11094.5791 - accuracy: 0.0000e+00 - val_loss: 11540.2832 - val_accuracy: 0.0000e+00\n", - "Epoch 90/100\n", - "2/2 [==============================] - 0s 18ms/step - loss: 11090.0947 - accuracy: 0.0000e+00 - val_loss: 11536.0137 - val_accuracy: 0.0000e+00\n", - "Epoch 91/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11085.0840 - accuracy: 0.0000e+00 - val_loss: 11531.7539 - val_accuracy: 0.0000e+00\n", - "Epoch 92/100\n", - "2/2 [==============================] - 0s 18ms/step - loss: 11080.1943 - accuracy: 0.0000e+00 - val_loss: 11527.4795 - val_accuracy: 0.0000e+00\n", - "Epoch 93/100\n", - "2/2 [==============================] - 0s 18ms/step - loss: 11075.2861 - accuracy: 0.0000e+00 - val_loss: 11523.1367 - val_accuracy: 0.0000e+00\n", - "Epoch 94/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11070.2969 - accuracy: 0.0000e+00 - val_loss: 11518.7578 - val_accuracy: 0.0000e+00\n", - "Epoch 95/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11065.1328 - accuracy: 0.0000e+00 - val_loss: 11514.3389 - val_accuracy: 0.0000e+00\n", - "Epoch 96/100\n", - "2/2 [==============================] - 0s 18ms/step - loss: 11060.0713 - accuracy: 0.0000e+00 - val_loss: 11509.8438 - val_accuracy: 0.0000e+00\n", - "Epoch 97/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11054.4766 - accuracy: 0.0000e+00 - val_loss: 11505.4502 - val_accuracy: 0.0000e+00\n", - "Epoch 98/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11049.6338 - accuracy: 0.0000e+00 - val_loss: 11500.8672 - val_accuracy: 0.0000e+00\n", - "Epoch 99/100\n", - "2/2 [==============================] - 0s 19ms/step - loss: 11044.6113 - accuracy: 0.0000e+00 - val_loss: 11496.2168 - val_accuracy: 0.0000e+00\n", - "Epoch 100/100\n", - "2/2 [==============================] - 0s 20ms/step - loss: 11038.7832 - accuracy: 0.0000e+00 - val_loss: 11491.5762 - val_accuracy: 0.0000e+00\n" - ] - } - ], - "source": [ - "import tensorflow as tf\n", - "import keras\n", - "\n", - "# Your code here\n", - "model = keras.Sequential([\n", - " keras.layers.Flatten(input_shape=(5,)),\n", - " keras.layers.Dense(5, activation=tf.nn.relu),\n", - "\tkeras.layers.Dense(5, activation=tf.nn.relu),\n", - " keras.layers.Dense(1),\n", - "])\n", - "\n", - "model.compile(optimizer='adam',\n", - " loss='mse',\n", - " metrics=['accuracy'])\n", - "history = model.fit(X_train, y_train, epochs=100, validation_data=(X_val, y_val))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jmeP6vt3z0oA" - }, - "source": [ - "## Plot Loss\n", - "\n", - "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "id": "RQTNqPHm0mOi" - }, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'history' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Input \u001b[1;32mIn [4]\u001b[0m, in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# Your code here\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m loss_train \u001b[38;5;241m=\u001b[39m \u001b[43mhistory\u001b[49m\u001b[38;5;241m.\u001b[39mhistory[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mloss\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m 3\u001b[0m loss_val \u001b[38;5;241m=\u001b[39m history\u001b[38;5;241m.\u001b[39mhistory[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mval_loss\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m 4\u001b[0m epochs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m,\u001b[38;5;241m101\u001b[39m)\n", - "\u001b[1;31mNameError\u001b[0m: name 'history' is not defined" - ] - } - ], - "source": [ - "# Your code here\n", - "loss_train = history.history['loss']\n", - "loss_val = history.history['val_loss']\n", - "epochs = range(1,101)\n", - "plt.plot(epochs, loss_train, 'g', label='Training loss')\n", - "plt.plot(epochs, loss_val, 'b', label='validation loss')\n", - "plt.title('Training and Validation loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.legend()\n", - "plt.show()\n", - "\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IVrR_vXA7kOt" - }, - "source": [ - "## Evaluation Metrics\n", - "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "id": "-lOHpD8-7ggm" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1/1 [==============================] - 0s 55ms/step\n" - ] - }, - { - "data": { - "text/plain": [ - "-70504.31776374676" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Insert the function for R2 Score\n", - "import numpy as np\n", - "def r2_score(y_true, y_pred):\n", - " # return the r2 score\n", - " return 1-((np.sum(np.square(y_true-y_pred)))/(np.sum(np.square(y_true-(np.mean(y_true))))))\n", - "predictions= model.predict(X_test)\n", - "r2=r2_score(predictions, y_test)\n", - "r2" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "CHqzF1OU0pBg" - }, - "source": [ - "## Your own custom model\n", - "Build a custom model of your own choice.
\n", - "Describe it in detail in Markdown/Latex in the cell below.
\n", - "Visualise the loss, as before." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "jF8oTUqq0y0g" - }, - "source": [ - "Your text here" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "id": "1XOk5hJu0oSQ" - }, - "outputs": [], - "source": [ - "# Your code here" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "id": "aS0ROZa402Lo" - }, - "outputs": [], - "source": [ - "import pandas as pd\n", - "data = pd.read_csv(r'C:\\Users\\VEDANT ADLAK\\CODING\\Power.csv')\n", - "x = data.iloc[:, :-1].values\n", - "Y = data.iloc[:, -1].values" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "x_train, x_test, Y_train, Y_test = train_test_split(x, Y, test_size=0.2, random_state=1234)\n", - "x_train, x_val, Y_train, Y_val = train_test_split(x_train, Y_train, test_size=0.2, random_state=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "from sklearn.preprocessing import StandardScaler\n", - "sc = StandardScaler()\n", - "x_train = sc.fit_transform(x_train)\n", - "x_test = sc.transform(x_test)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "ann = tf.keras.models.Sequential()\n", - "ann.add(tf.keras.layers.Dense(units=6, activation = 'relu'))\n", - "ann.add(tf.keras.layers.Dense(units=6, activation = 'relu'))\n", - "ann.add(tf.keras.layers.Dense(units=6, activation = 'relu'))\n", - "ann.add(tf.keras.layers.Dense(units=1))" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "ann.compile(optimizer='adam', loss='mean_squared_error')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/100\n", - "192/192 [==============================] - 1s 1ms/step - loss: 205502.0625 - val_loss: 1055491.3750\n", - "Epoch 2/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 190986.4688 - val_loss: 217513104.0000\n", - "Epoch 3/100\n", - "192/192 [==============================] - 0s 2ms/step - loss: 118311.9766 - val_loss: 4483321856.0000\n", - "Epoch 4/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 34966.2695 - val_loss: 7665159680.0000\n", - "Epoch 5/100\n", - "192/192 [==============================] - 0s 2ms/step - loss: 14791.5361 - val_loss: 5248251904.0000\n", - "Epoch 6/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 10338.5312 - val_loss: 4176272384.0000\n", - "Epoch 7/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 7680.7041 - val_loss: 3463756800.0000\n", - "Epoch 8/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 5623.4736 - val_loss: 2978657280.0000\n", - "Epoch 9/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 4070.7275 - val_loss: 2693101312.0000\n", - "Epoch 10/100\n", - "192/192 [==============================] - 0s 989us/step - loss: 2931.8125 - val_loss: 2515322112.0000\n", - "Epoch 11/100\n", - "192/192 [==============================] - 0s 985us/step - loss: 2108.7588 - val_loss: 2322741760.0000\n", - "Epoch 12/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 1530.5260 - val_loss: 2165274624.0000\n", - "Epoch 13/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 1126.7343 - val_loss: 1982140288.0000\n", - "Epoch 14/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 837.6551 - val_loss: 1764351872.0000\n", - "Epoch 15/100\n", - "192/192 [==============================] - 0s 990us/step - loss: 628.0771 - val_loss: 1593813888.0000\n", - "Epoch 16/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 478.0287 - val_loss: 1440141696.0000\n", - "Epoch 17/100\n", - "192/192 [==============================] - 0s 2ms/step - loss: 368.2716 - val_loss: 1276639232.0000\n", - "Epoch 18/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 286.9301 - val_loss: 1158568064.0000\n", - "Epoch 19/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 224.9409 - val_loss: 1064603776.0000\n", - "Epoch 20/100\n", - "192/192 [==============================] - 0s 995us/step - loss: 178.4216 - val_loss: 969033536.0000\n", - "Epoch 21/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 142.7281 - val_loss: 904992128.0000\n", - "Epoch 22/100\n", - "192/192 [==============================] - 0s 989us/step - loss: 114.8841 - val_loss: 867124608.0000\n", - "Epoch 23/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 93.3930 - val_loss: 839956288.0000\n", - "Epoch 24/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 76.0847 - val_loss: 825296448.0000\n", - "Epoch 25/100\n", - "192/192 [==============================] - 0s 995us/step - loss: 62.7940 - val_loss: 808421952.0000\n", - "Epoch 26/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 52.6008 - val_loss: 790727296.0000\n", - "Epoch 27/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 44.6540 - val_loss: 779986240.0000\n", - "Epoch 28/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 38.8009 - val_loss: 764706560.0000\n", - "Epoch 29/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 34.3965 - val_loss: 750182848.0000\n", - "Epoch 30/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 31.1811 - val_loss: 723574272.0000\n", - "Epoch 31/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 28.5572 - val_loss: 713040000.0000\n", - "Epoch 32/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 26.9162 - val_loss: 699773568.0000\n", - "Epoch 33/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 25.5039 - val_loss: 689914880.0000\n", - "Epoch 34/100\n", - "192/192 [==============================] - 0s 994us/step - loss: 24.5436 - val_loss: 675314944.0000\n", - "Epoch 35/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 23.8607 - val_loss: 661008960.0000\n", - "Epoch 36/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 23.4081 - val_loss: 645466560.0000\n", - "Epoch 37/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 23.0349 - val_loss: 636793216.0000\n", - "Epoch 38/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 22.5760 - val_loss: 625942784.0000\n", - "Epoch 39/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 22.3486 - val_loss: 611333248.0000\n", - "Epoch 40/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 22.2903 - val_loss: 606125440.0000\n", - "Epoch 41/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 22.2299 - val_loss: 600408256.0000\n", - "Epoch 42/100\n", - "192/192 [==============================] - 0s 995us/step - loss: 22.0806 - val_loss: 590723264.0000\n", - "Epoch 43/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 21.7701 - val_loss: 583678144.0000\n", - "Epoch 44/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 21.9006 - val_loss: 577920960.0000\n", - "Epoch 45/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 21.8087 - val_loss: 567927296.0000\n", - "Epoch 46/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 21.8747 - val_loss: 564737856.0000\n", - "Epoch 47/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 21.8164 - val_loss: 558105024.0000\n", - "Epoch 48/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 21.7617 - val_loss: 545681472.0000\n", - "Epoch 49/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 22.2611 - val_loss: 547658624.0000\n", - "Epoch 50/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 21.7451 - val_loss: 529287840.0000\n", - "Epoch 51/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 21.6618 - val_loss: 538415424.0000\n", - "Epoch 52/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 21.6405 - val_loss: 526375744.0000\n", - "Epoch 53/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 21.6234 - val_loss: 523492224.0000\n", - "Epoch 54/100\n", - "192/192 [==============================] - 0s 991us/step - loss: 21.6752 - val_loss: 517951328.0000\n", - "Epoch 55/100\n", - "192/192 [==============================] - 0s 957us/step - loss: 21.5805 - val_loss: 517134720.0000\n", - "Epoch 56/100\n", - "192/192 [==============================] - 0s 990us/step - loss: 21.7772 - val_loss: 505650528.0000\n", - "Epoch 57/100\n", - "192/192 [==============================] - 0s 990us/step - loss: 21.4580 - val_loss: 501462752.0000\n", - "Epoch 58/100\n", - "192/192 [==============================] - 0s 958us/step - loss: 21.6620 - val_loss: 504142880.0000\n", - "Epoch 59/100\n", - "192/192 [==============================] - 0s 974us/step - loss: 21.6206 - val_loss: 497545408.0000\n", - "Epoch 60/100\n", - "192/192 [==============================] - 0s 984us/step - loss: 21.5144 - val_loss: 485903648.0000\n", - "Epoch 61/100\n", - "192/192 [==============================] - 0s 984us/step - loss: 21.4289 - val_loss: 488917472.0000\n", - "Epoch 62/100\n", - "192/192 [==============================] - 0s 958us/step - loss: 21.3365 - val_loss: 484559616.0000\n", - "Epoch 63/100\n", - "192/192 [==============================] - 0s 979us/step - loss: 21.1568 - val_loss: 469904416.0000\n", - "Epoch 64/100\n", - "192/192 [==============================] - 0s 952us/step - loss: 21.3791 - val_loss: 466319936.0000\n", - "Epoch 65/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 20.9299 - val_loss: 462157184.0000\n", - "Epoch 66/100\n", - "192/192 [==============================] - 0s 973us/step - loss: 20.9182 - val_loss: 460814720.0000\n", - "Epoch 67/100\n", - "192/192 [==============================] - 0s 969us/step - loss: 21.0156 - val_loss: 458287296.0000\n", - "Epoch 68/100\n", - "192/192 [==============================] - 0s 974us/step - loss: 21.0712 - val_loss: 451982144.0000\n", - "Epoch 69/100\n", - "192/192 [==============================] - 0s 945us/step - loss: 20.8178 - val_loss: 451185344.0000\n", - "Epoch 70/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 20.9400 - val_loss: 440099168.0000\n", - "Epoch 71/100\n", - "192/192 [==============================] - 0s 968us/step - loss: 20.9792 - val_loss: 444701056.0000\n", - "Epoch 72/100\n", - "192/192 [==============================] - 0s 969us/step - loss: 20.7082 - val_loss: 439451584.0000\n", - "Epoch 73/100\n", - "192/192 [==============================] - 0s 974us/step - loss: 20.8705 - val_loss: 438926240.0000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 74/100\n", - "192/192 [==============================] - 0s 948us/step - loss: 20.9405 - val_loss: 434460960.0000\n", - "Epoch 75/100\n", - "192/192 [==============================] - 0s 953us/step - loss: 20.8470 - val_loss: 440190688.0000\n", - "Epoch 76/100\n", - "192/192 [==============================] - 0s 979us/step - loss: 20.8279 - val_loss: 430655072.0000\n", - "Epoch 77/100\n", - "192/192 [==============================] - 0s 937us/step - loss: 20.7440 - val_loss: 426091136.0000\n", - "Epoch 78/100\n", - "192/192 [==============================] - 0s 942us/step - loss: 20.9498 - val_loss: 434446048.0000\n", - "Epoch 79/100\n", - "192/192 [==============================] - 0s 953us/step - loss: 20.9132 - val_loss: 437293984.0000\n", - "Epoch 80/100\n", - "192/192 [==============================] - 0s 922us/step - loss: 21.0839 - val_loss: 439511328.0000\n", - "Epoch 81/100\n", - "192/192 [==============================] - 0s 952us/step - loss: 20.8824 - val_loss: 438428736.0000\n", - "Epoch 82/100\n", - "192/192 [==============================] - 0s 923us/step - loss: 20.8845 - val_loss: 437566528.0000\n", - "Epoch 83/100\n", - "192/192 [==============================] - 0s 942us/step - loss: 20.8207 - val_loss: 434014848.0000\n", - "Epoch 84/100\n", - "192/192 [==============================] - 0s 927us/step - loss: 20.8663 - val_loss: 441011040.0000\n", - "Epoch 85/100\n", - "192/192 [==============================] - 0s 921us/step - loss: 20.8142 - val_loss: 443873440.0000\n", - "Epoch 86/100\n", - "192/192 [==============================] - 0s 947us/step - loss: 20.7954 - val_loss: 430658112.0000\n", - "Epoch 87/100\n", - "192/192 [==============================] - 0s 912us/step - loss: 20.7968 - val_loss: 438615424.0000\n", - "Epoch 88/100\n", - "192/192 [==============================] - 0s 974us/step - loss: 20.8670 - val_loss: 432157152.0000\n", - "Epoch 89/100\n", - "192/192 [==============================] - 0s 963us/step - loss: 21.0467 - val_loss: 444976608.0000\n", - "Epoch 90/100\n", - "192/192 [==============================] - 0s 943us/step - loss: 20.7190 - val_loss: 448802464.0000\n", - "Epoch 91/100\n", - "192/192 [==============================] - 0s 916us/step - loss: 20.9051 - val_loss: 454478496.0000\n", - "Epoch 92/100\n", - "192/192 [==============================] - 0s 948us/step - loss: 20.8039 - val_loss: 449556576.0000\n", - "Epoch 93/100\n", - "192/192 [==============================] - 0s 937us/step - loss: 20.9025 - val_loss: 454530528.0000\n", - "Epoch 94/100\n", - "192/192 [==============================] - 0s 952us/step - loss: 20.5214 - val_loss: 448073920.0000\n", - "Epoch 95/100\n", - "192/192 [==============================] - 0s 969us/step - loss: 20.6263 - val_loss: 439715360.0000\n", - "Epoch 96/100\n", - "192/192 [==============================] - 0s 932us/step - loss: 20.7127 - val_loss: 452371936.0000\n", - "Epoch 97/100\n", - "192/192 [==============================] - 0s 1ms/step - loss: 20.7545 - val_loss: 448452736.0000\n", - "Epoch 98/100\n", - "192/192 [==============================] - 0s 953us/step - loss: 20.5185 - val_loss: 456734976.0000\n", - "Epoch 99/100\n", - "192/192 [==============================] - 0s 927us/step - loss: 20.6495 - val_loss: 456889440.0000\n", - "Epoch 100/100\n", - "192/192 [==============================] - 0s 921us/step - loss: 20.8627 - val_loss: 455231328.0000\n" - ] - } - ], - "source": [ - "gr=ann.fit(x_train, Y_train, epochs=100, validation_data=(x_val, Y_val))" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "loss_train = gr.history['loss']\n", - "loss_val =gr.history['val_loss']\n", - "epochs = range(1,101)\n", - "plt.plot(epochs, loss_train, 'g', label='Training loss')\n", - "plt.plot(epochs, loss_val, 'b', label='validation loss')\n", - "plt.title('Training and Validation loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "60/60 [==============================] - 0s 642us/step\n" - ] - }, - { - "data": { - "text/plain": [ - "-4000.5717946760174" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prediction= ann.predict(x_test)\n", - "r2=r2_score(prediction, Y_test)\n", - "r2" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "Copy of CVusingTF_Assgn2.ipynb", - "provenance": [ - { - "file_id": "1ptX8WQ4CFpsuB3FySAo-Ofzinil-gfw_", - "timestamp": 1654672766911 - } - ] - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.2" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/Assignment 2/README.md b/Assignment 2/README.md deleted file mode 100644 index 2935aa7..0000000 --- a/Assignment 2/README.md +++ /dev/null @@ -1,2 +0,0 @@ -Please add your own submission in the format `A2_rollnumber.ipynb` into this directory. -This file contains the code for the first assignment of the project Computer Vision usin TensorFlow From 7a3e04f3b7380fc00d9101bbf140a64e0763c400 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:27:28 +0530 Subject: [PATCH 16/35] Delete Assignment 3 directory --- Assignment 3/A3_200014.ipynb | 502 --------------- Assignment 3/A3_200064.ipynb | 420 ------------- Assignment 3/A3_200104.ipynb | 460 -------------- Assignment 3/A3_200132.ipynb | 824 ------------------------- Assignment 3/A3_200135.ipynb | 400 ------------ Assignment 3/A3_200155.ipynb | 578 ------------------ Assignment 3/A3_200171.ipynb | 492 --------------- Assignment 3/A3_200244.ipynb | 451 -------------- Assignment 3/A3_200526 .ipynb | 677 --------------------- Assignment 3/A3_200537.ipynb | 866 -------------------------- Assignment 3/A3_200665.ipynb | 624 ------------------- Assignment 3/A3_200698.ipynb | 531 ---------------- Assignment 3/A3_200731.ipynb | 1076 --------------------------------- Assignment 3/A3_200782.ipynb | 528 ---------------- Assignment 3/A3_200914.ipynb | 444 -------------- Assignment 3/A3_200988.ipynb | 684 --------------------- Assignment 3/A3_200995.ipynb | 734 ---------------------- Assignment 3/A3_201043.ipynb | 507 ---------------- Assignment 3/A3_201138.ipynb | 461 -------------- Assignment 3/A3_201168.ipynb | 795 ------------------------ Assignment 3/A3_210355.ipynb | 690 --------------------- Assignment 3/A3_211044.ipynb | 602 ------------------ Assignment 3/A3_211055.ipynb | 593 ------------------ Assignment 3/A3_211154.ipynb | 409 ------------- Assignment 3/README.md | 1 - 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"nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV_with_TF-Assignment-3.ipynb", - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "for i in range(5):\n", - " plt.subplot(2,5, i+1)\n", - " plt.imshow(x_train[i])\n", - " plt.axis('off')\n", - " plt.title(\"Value is {}\".format(y_train[i]))\n", - "\n", - "# Your code" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "outputId": "8472897d-ca54-43af-eaf4-f7e558618dcb", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 105 - } - }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "import pandas as pd" - ], - "metadata": { - "id": "y2OEVvv8S5Na" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "\n", - "\n", - "df_y_train = pd.DataFrame({'Y_Train':y_train})\n", - "df_y_test = pd.DataFrame({'Y_Test':y_test})\n", - "\n", - "# Your code" - ], - "metadata": { - "id": "37kehTG_6Pi4" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Given below is the code that produces frequency of labels appearing in training dataset\n", - "df_y_train['Y_Train'].value_counts(ascending=True).plot( kind='bar', xlabel='Values', ylabel='Frequency')\n" - ], - "metadata": { - "id": "UkbVDV9JTJNP", - "outputId": "48d31ac7-cb24-4e9d-cfb3-7bf53e0386a2", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 295 - } - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 38 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "df_y_test['Y_Test'].value_counts(ascending=True).plot( kind='bar', xlabel='Values', ylabel='Frequency')" - ], - "metadata": { - "id": "wdLMufuQT_Nn", - "outputId": "ef0c6a1a-91db-4dfd-88af-0d34cc90b442", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 294 - } - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 39 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "So we can see that the frequency of labels in the test dataset are in same proportion as in the training dataset." - ], - "metadata": { - "id": "l9_l4idBUwbu" - } - }, - { - "cell_type": "code", - "source": [ - "# Pre Processing\n", - "\n", - "from tensorflow.keras.utils import to_categorical\n", - "from tensorflow.keras.layers import Flatten, Dense\n", - "from tensorflow.keras.losses import BinaryCrossentropy,sparse_categorical_crossentropy\n", - "\n", - "x_train = tf.keras.utils.normalize(x_train, axis=1)\n", - "x_test = tf.keras.utils.normalize(x_test, axis=1)" - ], - "metadata": { - "id": "LWtaJGgMVG_c" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "model=tf.keras.Sequential([\n", - " Flatten(input_shape=(28,28)),\n", - " Dense(64,activation='relu'),\n", - " Dense(128,activation='relu'),\n", - " Dense(10,activation=tf.nn.softmax)\n", - "\n", - " ])\n", - "model.compile(optimizer='adam',\n", - " loss=sparse_categorical_crossentropy,\n", - " metrics=['accuracy'])\n", - "history = model.fit(x_train,y_train,epochs=10,validation_split=0.2)\n", - "\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n" - ], - "metadata": { - "id": "1L07EyQ0Yion", - "outputId": "29b951f2-5843-44ca-8ffa-e5def844ecb4", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/10\n", - "1500/1500 [==============================] - 4s 3ms/step - loss: 0.3446 - accuracy: 0.8994 - val_loss: 0.1907 - val_accuracy: 0.9445\n", - "Epoch 2/10\n", - "1500/1500 [==============================] - 4s 3ms/step - loss: 0.1507 - accuracy: 0.9546 - val_loss: 0.1450 - val_accuracy: 0.9535\n", - "Epoch 3/10\n", - "1500/1500 [==============================] - 4s 2ms/step - loss: 0.1059 - accuracy: 0.9678 - val_loss: 0.1205 - val_accuracy: 0.9625\n", - "Epoch 4/10\n", - "1500/1500 [==============================] - 4s 3ms/step - loss: 0.0800 - accuracy: 0.9747 - val_loss: 0.1160 - val_accuracy: 0.9646\n", - "Epoch 5/10\n", - "1500/1500 [==============================] - 4s 3ms/step - loss: 0.0639 - accuracy: 0.9796 - val_loss: 0.1037 - val_accuracy: 0.9676\n", - "Epoch 6/10\n", - "1500/1500 [==============================] - 4s 3ms/step - loss: 0.0506 - accuracy: 0.9835 - val_loss: 0.1033 - val_accuracy: 0.9695\n", - "Epoch 7/10\n", - "1500/1500 [==============================] - 4s 3ms/step - loss: 0.0409 - accuracy: 0.9864 - val_loss: 0.1085 - val_accuracy: 0.9713\n", - "Epoch 8/10\n", - "1500/1500 [==============================] - 4s 2ms/step - loss: 0.0336 - accuracy: 0.9889 - val_loss: 0.1076 - val_accuracy: 0.9718\n", - "Epoch 9/10\n", - "1500/1500 [==============================] - 4s 2ms/step - loss: 0.0281 - accuracy: 0.9908 - val_loss: 0.1215 - val_accuracy: 0.9694\n", - "Epoch 10/10\n", - "1500/1500 [==============================] - 4s 3ms/step - loss: 0.0237 - accuracy: 0.9920 - val_loss: 0.1258 - val_accuracy: 0.9699\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "res_2=pd.DataFrame(history.history)\n", - "res_2['epoch']=history.epoch\n", - "plt.plot(res_2['epoch'],res_2['loss'])\n", - "plt.plot(res_2['epoch'],res_2['val_loss'])\n", - "plt.legend([\"Loss\"],[\"Val_loss\"])\n", - "\n" - ], - "metadata": { - "id": "nKEZ8cbO9JVV", - "outputId": "6dba2cd9-d2d3-4b05-fc4b-b8cb83f4be2e", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 374 - } - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:5: UserWarning: Legend does not support 'Loss' instances.\n", - "A proxy artist may be used instead.\n", - "See: http://matplotlib.org/users/legend_guide.html#creating-artists-specifically-for-adding-to-the-legend-aka-proxy-artists\n", - " \"\"\"\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 44 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code\n", - "y_predicted=[]\n", - "y_pred=model.predict(x_test)\n", - "for i in range(x_test.shape[0]):\n", - " y_predicted.append(np.argmax(y_pred[i]))\n" - ], - "metadata": { - "id": "qioZul7_uiYq" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "y_test[7]" - ], - "metadata": { - "id": "3rJt9b5-Y-9H", - "outputId": "91639e31-57f4-44a7-8045-4fa8e179b10b", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "9" - ] - }, - "metadata": {}, - "execution_count": 62 - } - ] - }, - { - "cell_type": "code", - "source": [ - "t=7\n", - "plt.imshow(x_test[t])\n", - "plt.title(\"Actual Label {} , Predicted label {} \".format(y_test[t],y_predicted[t]))" - ], - "metadata": { - "id": "hcaYkm8TXZ-h", - "outputId": "91c92df2-8314-40ea-f509-815a56ca0440", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 299 - } - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Actual Label 9 , Predicted label 9 ')" - ] - }, - "metadata": {}, - "execution_count": 68 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "ruZ4gQP7YSI5" - }, - "execution_count": null, - "outputs": [] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_200064.ipynb b/Assignment 3/A3_200064.ipynb deleted file mode 100644 index d7224f3..0000000 --- a/Assignment 3/A3_200064.ipynb +++ /dev/null @@ -1,420 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV_with_TF-Assignment-3.ipynb", - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "36d1d02c-02d5-47f7-acfd-3cd33df7914b" - }, - "execution_count": 4, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n", - "11493376/11490434 [==============================] - 0s 0us/step\n", - "11501568/11490434 [==============================] - 0s 0us/step\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 5, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing \n", - "print(X_train.shape)\n", - "print(Y_train.shape)\n", - "print(X_test.shape)\n", - "print(Y_test.shape)" - ], - "metadata": { - "id": "rbt0WbW6sDVs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "bdb9ceaa-3ae2-4d49-9d24-59fa44c7e229" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(8000, 28, 28)\n", - "(8000,)\n", - "(2000, 28, 28)\n", - "(2000,)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "num_classes =5\n", - "f, ax = plt.subplots(1, num_classes, figsize=(20,20))\n", - "\n", - "for i in range(0, num_classes):\n", - " ax[i].imshow(X_train[i])\n", - " ax[i].set_title(Y_train[i], fontsize=16)\n" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 258 - }, - "outputId": "c5789e5d-ea72-4f5a-c31e-bda8480caed1" - }, - "execution_count": 20, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "unique1, counts1 = np.unique(Y_train, return_counts=True)\n", - "unique2, counts2 = np.unique(Y_test, return_counts=True)\n", - "plt.bar(unique1,counts1,color='r',label='train')\n", - "plt.bar(unique2,counts2,color='g',label='test')\n", - "plt.legend()\n", - "plt.show()\n", - "# Your code" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "7f2df0f1-0123-4000-da2e-debf90efc88c" - }, - "execution_count": 53, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "import keras\n", - "from keras.models import Sequential\n", - "from keras import layers\n", - "model = keras.models.Sequential()\n", - "model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28, 28, 1)))\n", - "model.add(layers.Conv2D(64, (3, 3), activation='relu', input_shape=(28, 28, 1)))\n", - "model.add(layers.MaxPooling2D((2, 2)))\n", - "model.add(layers.Conv2D(128, (3, 3), activation='relu'))\n", - "model.add(layers.MaxPooling2D((2, 2)))\n", - "model.add(layers.Conv2D(256, (3, 3), activation='relu'))\n", - "model.add(layers.Flatten())\n", - "model.add(layers.Dense(256, activation='relu'))\n", - "model.add(layers.Dense(10,activation='softmax'))\n", - "model.summary()\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n" - ], - "metadata": { - "id": "1L07EyQ0Yion", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "9c32f095-4b7c-4e39-a686-3bd387467e31" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d_4 (Conv2D) (None, 26, 26, 32) 320 \n", - " \n", - " conv2d_5 (Conv2D) (None, 24, 24, 64) 18496 \n", - " \n", - " max_pooling2d_2 (MaxPooling (None, 12, 12, 64) 0 \n", - " 2D) \n", - " \n", - " conv2d_6 (Conv2D) (None, 10, 10, 128) 73856 \n", - " \n", - " max_pooling2d_3 (MaxPooling (None, 5, 5, 128) 0 \n", - " 2D) \n", - " \n", - " conv2d_7 (Conv2D) (None, 3, 3, 256) 295168 \n", - " \n", - " flatten_1 (Flatten) (None, 2304) 0 \n", - " \n", - " dense_2 (Dense) (None, 256) 590080 \n", - " \n", - " dense_3 (Dense) (None, 10) 2570 \n", - " \n", - "=================================================================\n", - "Total params: 980,490\n", - "Trainable params: 980,490\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.compile(optimizer='adam',\n", - " loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n", - " metrics=['accuracy'])\n", - "\n", - "history = model.fit(X_train, Y_train, epochs=10, \n", - " validation_split=0.33)\n", - "\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n" - ], - "metadata": { - "id": "nKEZ8cbO9JVV", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "8d30e235-add0-4cb6-c6e6-7f4e953f645a" - }, - "execution_count": 11, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/10\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "168/168 [==============================] - 13s 8ms/step - loss: 1.8936 - accuracy: 0.8343 - val_loss: 0.1195 - val_accuracy: 0.9655\n", - "Epoch 2/10\n", - "168/168 [==============================] - 1s 6ms/step - loss: 0.0951 - accuracy: 0.9687 - val_loss: 0.1059 - val_accuracy: 0.9693\n", - "Epoch 3/10\n", - "168/168 [==============================] - 1s 6ms/step - loss: 0.0463 - accuracy: 0.9845 - val_loss: 0.1076 - val_accuracy: 0.9705\n", - "Epoch 4/10\n", - "168/168 [==============================] - 1s 6ms/step - loss: 0.0457 - accuracy: 0.9847 - val_loss: 0.0838 - val_accuracy: 0.9784\n", - "Epoch 5/10\n", - "168/168 [==============================] - 1s 6ms/step - loss: 0.0321 - accuracy: 0.9901 - val_loss: 0.1116 - val_accuracy: 0.9739\n", - "Epoch 6/10\n", - "168/168 [==============================] - 1s 5ms/step - loss: 0.0377 - accuracy: 0.9875 - val_loss: 0.1025 - val_accuracy: 0.9761\n", - "Epoch 7/10\n", - "168/168 [==============================] - 1s 6ms/step - loss: 0.0371 - accuracy: 0.9894 - val_loss: 0.1159 - val_accuracy: 0.9678\n", - "Epoch 8/10\n", - "168/168 [==============================] - 1s 6ms/step - loss: 0.0322 - accuracy: 0.9916 - val_loss: 0.0932 - val_accuracy: 0.9814\n", - "Epoch 9/10\n", - "168/168 [==============================] - 1s 6ms/step - loss: 0.0074 - accuracy: 0.9976 - val_loss: 0.0764 - val_accuracy: 0.9864\n", - "Epoch 10/10\n", - "168/168 [==============================] - 1s 6ms/step - loss: 0.0176 - accuracy: 0.9948 - val_loss: 0.1082 - val_accuracy: 0.9746\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "plt.figure(figsize=(28,28))\n", - "predictions=np.argmax(model.predict(X_test),axis=1)\n", - "for i in range(25):\n", - " plt.subplot(5,5,i+1)\n", - " plt.imshow(X_test[i])\n", - " plt.xlabel(\"Prediction: {}, True: {}\".format(predictions[i],Y_test[i]),fontsize=10)\n", - "plt.show()" - ], - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "9b6f4663-0bcc-4971-cce6-a3647accd4f9" - }, - "execution_count": 47, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "7E8Ph_lRwGVg" - }, - "execution_count": null, - "outputs": [] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_200104.ipynb b/Assignment 3/A3_200104.ipynb deleted file mode 100644 index b9b6b51..0000000 --- a/Assignment 3/A3_200104.ipynb +++ /dev/null @@ -1,460 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV_with_TF-Assignment-3.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "execution_count": 19, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 20, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing " - ], - "metadata": { - "id": "rbt0WbW6sDVs" - }, - "execution_count": 21, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.figure(figsize=(8,8))\n", - "for i in range(15):\n", - " plt.subplot(5,3,i+1)\n", - " plt.xticks([])\n", - " plt.yticks([])\n", - " plt.grid(False)\n", - " plt.imshow(X_train[i])\n", - " plt.title(Y_train[i])\n", - "plt.show()\n", - "\n", - "# Your code" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 485 - }, - "outputId": "55587728-f7a2-44e0-c2d3-0b7d58c9d561" - }, - "execution_count": 22, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "values1, counts1 = np.unique(Y_train, return_counts=True)\n", - "plt.bar(values1,counts1,label='train')\n", - "plt.legend()\n", - "plt.show()\n", - "values1, counts1 = np.unique(Y_test, return_counts=True)\n", - "plt.bar(values1,counts1,label='test')\n", - "plt.legend()\n", - "plt.show()\n", - "# Your code" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 513 - }, - "outputId": "10d705fe-f992-4010-8224-4a36c3bc79d8" - }, - "execution_count": 23, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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Q2O/LzAeaPZ4GWQp8ISJeZGgK7tqI+M/mDqlhBoCBzDzzL7TtDMW+dJ8Ffp+Zg5n5DvAA8A9NHlPTtFLcW/JjESIiGJp7PZCZP2z2eBolM7+Tmd2Z2cPQ3/WjmdkSV3GZ+QrQHxELqk3LgOeaOKRGeRlYEhEzqu/7ZbTAE8ln07RPhWy0SfKxCBNhKXAj8ExE7Ku2fTczdzVxTJp4XwXuqy5kXgBuavJ4Jlxm7o6I7cBehl4l9jQt/FEEfvyAJBWolaZlJKllGHdJKpBxl6QCGXdJKpBxl6QCGXdJKpBxl6QC/T+ePL6U1VO+zwAAAABJRU5ErkJggg==\n" 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- }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "import keras\n", - "from keras.models import Sequential\n", - "from keras import layers\n", - "model =keras.models.Sequential()\n", - "model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28,28,1)))\n", - "model.add(layers.Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(layers.MaxPooling2D((2, 2)))\n", - "model.add(layers.Dropout(0.25))\n", - "model.add(layers.Flatten())\n", - "model.add(layers.Dense(128, activation='relu'))\n", - "model.add(layers.Dropout(0.5))\n", - "model.add(layers.Dense(10, activation='softmax'))\n", - "model.summary()\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n" - ], - "metadata": { - "id": "1L07EyQ0Yion", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "21fc1223-de48-42dd-bcee-046fe2102348" - }, - "execution_count": 24, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d_2 (Conv2D) (None, 26, 26, 32) 320 \n", - " \n", - " conv2d_3 (Conv2D) (None, 24, 24, 64) 18496 \n", - " \n", - " max_pooling2d_1 (MaxPooling (None, 12, 12, 64) 0 \n", - " 2D) \n", - " \n", - " dropout_2 (Dropout) (None, 12, 12, 64) 0 \n", - " \n", - " flatten_1 (Flatten) (None, 9216) 0 \n", - " \n", - " dense_2 (Dense) (None, 128) 1179776 \n", - " \n", - " dropout_3 (Dropout) (None, 128) 0 \n", - " \n", - " dense_3 (Dense) (None, 10) 1290 \n", - " \n", - "=================================================================\n", - "Total params: 1,199,882\n", - "Trainable params: 1,199,882\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.compile(optimizer='adam',\n", - " loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n", - " metrics=['accuracy'])\n", - "\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "history = model.fit(X_train, Y_train, epochs=45,\n", - " validation_split=0.2)" - ], - "metadata": { - "id": "nKEZ8cbO9JVV", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "ba43e8c2-043f-4145-fcab-25d77e259eb8" - }, - "execution_count": 26, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/45\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "200/200 [==============================] - 1s 5ms/step - loss: 1.8835 - accuracy: 0.7772 - val_loss: 0.1622 - val_accuracy: 0.9544\n", - "Epoch 2/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.2876 - accuracy: 0.9192 - val_loss: 0.1653 - val_accuracy: 0.9525\n", - "Epoch 3/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1847 - accuracy: 0.9431 - val_loss: 0.1247 - val_accuracy: 0.9688\n", - "Epoch 4/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1622 - accuracy: 0.9503 - val_loss: 0.1466 - val_accuracy: 0.9644\n", - "Epoch 5/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1530 - accuracy: 0.9531 - val_loss: 0.1187 - val_accuracy: 0.9688\n", - "Epoch 6/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1241 - accuracy: 0.9630 - val_loss: 0.0927 - val_accuracy: 0.9744\n", - "Epoch 7/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1228 - accuracy: 0.9642 - val_loss: 0.1191 - val_accuracy: 0.9700\n", - "Epoch 8/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1026 - accuracy: 0.9669 - val_loss: 0.1036 - val_accuracy: 0.9744\n", - "Epoch 9/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0821 - accuracy: 0.9766 - val_loss: 0.0959 - val_accuracy: 0.9731\n", - "Epoch 10/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0725 - accuracy: 0.9745 - val_loss: 0.0962 - val_accuracy: 0.9825\n", - "Epoch 11/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0748 - accuracy: 0.9778 - val_loss: 0.1426 - val_accuracy: 0.9694\n", - "Epoch 12/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0725 - accuracy: 0.9767 - val_loss: 0.1223 - val_accuracy: 0.9731\n", - "Epoch 13/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0707 - accuracy: 0.9767 - val_loss: 0.1397 - val_accuracy: 0.9731\n", - "Epoch 14/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0744 - accuracy: 0.9789 - val_loss: 0.0922 - val_accuracy: 0.9775\n", - "Epoch 15/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0760 - accuracy: 0.9786 - val_loss: 0.1048 - val_accuracy: 0.9762\n", - "Epoch 16/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0615 - accuracy: 0.9797 - val_loss: 0.1250 - val_accuracy: 0.9750\n", - "Epoch 17/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0628 - accuracy: 0.9805 - val_loss: 0.1089 - val_accuracy: 0.9762\n", - "Epoch 18/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0564 - accuracy: 0.9827 - val_loss: 0.1197 - val_accuracy: 0.9750\n", - "Epoch 19/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0445 - accuracy: 0.9861 - val_loss: 0.1323 - val_accuracy: 0.9737\n", - "Epoch 20/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0432 - accuracy: 0.9864 - val_loss: 0.1412 - val_accuracy: 0.9744\n", - "Epoch 21/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0567 - accuracy: 0.9822 - val_loss: 0.1220 - val_accuracy: 0.9781\n", - "Epoch 22/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0615 - accuracy: 0.9817 - val_loss: 0.1312 - val_accuracy: 0.9762\n", - "Epoch 23/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0476 - accuracy: 0.9848 - val_loss: 0.1049 - val_accuracy: 0.9781\n", - "Epoch 24/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0411 - accuracy: 0.9870 - val_loss: 0.1174 - val_accuracy: 0.9750\n", - "Epoch 25/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0457 - accuracy: 0.9867 - val_loss: 0.1289 - val_accuracy: 0.9775\n", - "Epoch 26/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0548 - accuracy: 0.9848 - val_loss: 0.0985 - val_accuracy: 0.9762\n", - "Epoch 27/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0371 - accuracy: 0.9884 - val_loss: 0.0960 - val_accuracy: 0.9800\n", - "Epoch 28/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0312 - accuracy: 0.9903 - val_loss: 0.1059 - val_accuracy: 0.9762\n", - "Epoch 29/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0396 - accuracy: 0.9875 - val_loss: 0.0872 - val_accuracy: 0.9781\n", - "Epoch 30/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0345 - accuracy: 0.9898 - val_loss: 0.1084 - val_accuracy: 0.9794\n", - "Epoch 31/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0380 - accuracy: 0.9872 - val_loss: 0.0982 - val_accuracy: 0.9800\n", - "Epoch 32/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0483 - accuracy: 0.9873 - val_loss: 0.1444 - val_accuracy: 0.9744\n", - "Epoch 33/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0367 - accuracy: 0.9886 - val_loss: 0.1315 - val_accuracy: 0.9737\n", - "Epoch 34/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0389 - accuracy: 0.9877 - val_loss: 0.1194 - val_accuracy: 0.9806\n", - "Epoch 35/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0567 - accuracy: 0.9839 - val_loss: 0.1393 - val_accuracy: 0.9756\n", - "Epoch 36/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0430 - accuracy: 0.9878 - val_loss: 0.1377 - val_accuracy: 0.9756\n", - "Epoch 37/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0539 - accuracy: 0.9859 - val_loss: 0.1358 - val_accuracy: 0.9750\n", - "Epoch 38/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0234 - accuracy: 0.9920 - val_loss: 0.1155 - val_accuracy: 0.9819\n", - "Epoch 39/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0418 - accuracy: 0.9884 - val_loss: 0.1284 - val_accuracy: 0.9787\n", - "Epoch 40/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0309 - accuracy: 0.9903 - val_loss: 0.1179 - val_accuracy: 0.9794\n", - "Epoch 41/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0422 - accuracy: 0.9878 - val_loss: 0.0818 - val_accuracy: 0.9806\n", - "Epoch 42/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0369 - accuracy: 0.9900 - val_loss: 0.0745 - val_accuracy: 0.9819\n", - "Epoch 43/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0320 - accuracy: 0.9903 - val_loss: 0.0831 - val_accuracy: 0.9812\n", - "Epoch 44/45\n", - "200/200 [==============================] - 1s 5ms/step - loss: 0.0233 - accuracy: 0.9931 - val_loss: 0.1521 - val_accuracy: 0.9769\n", - "Epoch 45/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0296 - accuracy: 0.9917 - val_loss: 0.1279 - val_accuracy: 0.9819\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code\n", - "pred=np.argmax(model.predict(X_test),axis=1)\n", - "plt.figure(figsize=(20,20))\n", - "for i in range(15):\n", - " plt.subplot(5,3,i+1)\n", - " plt.grid(False)\n", - " plt.xticks([])\n", - " plt.yticks([])\n", - " plt.imshow(X_test[i])\n", - " plt.xlabel(\"Model_pred:{}, Real:{}\".format(pred[i],Y_test[i]),fontsize=30)" - ], - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "b408e176-d037-4ac4-fe68-9fc6a11a263e" - }, - "execution_count": 27, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_200132.ipynb b/Assignment 3/A3_200132.ipynb deleted file mode 100644 index eb32681..0000000 --- a/Assignment 3/A3_200132.ipynb +++ /dev/null @@ -1,824 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Assignment 3_200132", - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "execution_count": 34, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 35, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing \n", - "import matplotlib.pyplot as plt\n", - "plt.imshow(X_train[7], cmap=\"gray\") # Import the image\n", - "plt.show()" - ], - "metadata": { - "id": "rbt0WbW6sDVs", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "73ec6bc2-8ad6-49d9-dc17-ea53561e80d9" - }, - "execution_count": 36, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": "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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Normalize the train dataset\n", - "X_train = tf.keras.utils.normalize(X_train, axis=1)\n", - "# Normalize the test dataset\n", - "X_test = tf.keras.utils.normalize(X_test, axis=1)" - ], - "metadata": { - "id": "4Nc41NAf5H1x" - }, - "execution_count": 37, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "print(X_train.shape, Y_train.shape)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "NUeHTScw5dIG", - "outputId": "90fd0a50-970e-43f8-913f-bca782521f01" - }, - "execution_count": 38, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(8000, 28, 28) (8000,)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.figure(figsize=(10,10))\n", - "for i in range(10):\n", - " plt.subplot(5,5,i+1)\n", - " plt.xticks([])\n", - " plt.yticks([])\n", - " plt.grid(False)\n", - " plt.imshow(X_train[i])\n", - " \n", - " plt.xlabel(Y_train[i])\n", - "plt.show()\n", - "# Your code" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 251 - }, - "outputId": "71819733-cab2-4e48-fe8a-7b46f45f7902" - }, - "execution_count": 39, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "import numpy as np\n", - "unique, counts = np.unique(Y_train, return_counts=True)\n", - "print (np.asarray((unique, counts)).T)\n", - "\n" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "ea4757d1-c5dc-415b-8514-0cfc9aeb7c9a" - }, - "execution_count": 40, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[[ 0 813]\n", - " [ 1 890]\n", - " [ 2 823]\n", - " [ 3 811]\n", - " [ 4 788]\n", - " [ 5 692]\n", - " [ 6 769]\n", - " [ 7 812]\n", - " [ 8 789]\n", - " [ 9 813]]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.bar(unique,counts)\n", - "plt.title(\"Statistics of Training dataset\")\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "QZoj8t7VHdsl", - "outputId": "a0b92f83-bfcd-4010-eaca-107a40f8b615" - }, - "execution_count": 41, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "unique2, counts2 = np.unique(Y_test, return_counts=True)\n", - "print (np.asarray((unique2, counts2)).T)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "jjWex3-VHioz", - "outputId": "e29942dc-df87-4090-deb3-d4013dcd000a" - }, - "execution_count": 42, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[[ 0 167]\n", - " [ 1 245]\n", - " [ 2 209]\n", - " [ 3 199]\n", - " [ 4 194]\n", - " [ 5 200]\n", - " [ 6 189]\n", - " [ 7 216]\n", - " [ 8 185]\n", - " [ 9 196]]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras import datasets, layers, models\n", - "import matplotlib.pyplot as plt\n", - "model = models.Sequential()\n", - "model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28,28,1)))\n", - "model.add(layers.MaxPooling2D((2, 2)))\n", - "model.add(layers.Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(layers.MaxPooling2D((2, 2)))\n", - "model.add(layers.Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(layers.Flatten())\n", - "model.add(layers.Dense(64, activation='relu'))\n", - "model.add(layers.Dense(10, activation='softmax'))\n", - "model.summary()" - ], - "metadata": { - "id": "1L07EyQ0Yion", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "e7143d25-3449-46cd-d689-10666cae2cf0" - }, - "execution_count": 43, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d_3 (Conv2D) (None, 26, 26, 32) 320 \n", - " \n", - " max_pooling2d_2 (MaxPooling (None, 13, 13, 32) 0 \n", - " 2D) \n", - " \n", - " conv2d_4 (Conv2D) (None, 11, 11, 64) 18496 \n", - " \n", - " max_pooling2d_3 (MaxPooling (None, 5, 5, 64) 0 \n", - " 2D) \n", - " \n", - " conv2d_5 (Conv2D) (None, 3, 3, 64) 36928 \n", - " \n", - " flatten_1 (Flatten) (None, 576) 0 \n", - " \n", - " dense_2 (Dense) (None, 64) 36928 \n", - " \n", - " dense_3 (Dense) (None, 10) 650 \n", - " \n", - "=================================================================\n", - "Total params: 93,322\n", - "Trainable params: 93,322\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.compile(optimizer='adam',\n", - " loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n", - " metrics=['accuracy'])\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "history = model.fit(X_train, Y_train, validation_split=0.2, epochs=15,batch_size=5)\n" - ], - "metadata": { - "id": "nKEZ8cbO9JVV", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "d49ee10d-d711-4a2d-d1d0-f0b1243b6084" - }, - "execution_count": 45, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/15\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "1280/1280 [==============================] - 5s 4ms/step - loss: 0.0344 - accuracy: 0.9914 - val_loss: 0.0955 - val_accuracy: 0.9756\n", - "Epoch 2/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0112 - accuracy: 0.9961 - val_loss: 0.1720 - val_accuracy: 0.9619\n", - "Epoch 3/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0214 - accuracy: 0.9931 - val_loss: 0.1145 - val_accuracy: 0.9725\n", - "Epoch 4/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0103 - accuracy: 0.9975 - val_loss: 0.1597 - val_accuracy: 0.9694\n", - "Epoch 5/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0161 - accuracy: 0.9944 - val_loss: 0.1569 - val_accuracy: 0.9737\n", - "Epoch 6/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0205 - accuracy: 0.9930 - val_loss: 0.2123 - val_accuracy: 0.9594\n", - "Epoch 7/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0129 - accuracy: 0.9967 - val_loss: 0.1392 - val_accuracy: 0.9719\n", - "Epoch 8/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0076 - accuracy: 0.9977 - val_loss: 0.1529 - val_accuracy: 0.9719\n", - "Epoch 9/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0114 - accuracy: 0.9977 - val_loss: 0.1217 - val_accuracy: 0.9781\n", - "Epoch 10/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0161 - accuracy: 0.9958 - val_loss: 0.1997 - val_accuracy: 0.9656\n", - "Epoch 11/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0102 - accuracy: 0.9970 - val_loss: 0.1380 - val_accuracy: 0.9762\n", - "Epoch 12/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0149 - accuracy: 0.9958 - val_loss: 0.1192 - val_accuracy: 0.9787\n", - "Epoch 13/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0073 - accuracy: 0.9983 - val_loss: 0.1511 - val_accuracy: 0.9769\n", - "Epoch 14/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0172 - accuracy: 0.9958 - val_loss: 0.0980 - val_accuracy: 0.9787\n", - "Epoch 15/15\n", - "1280/1280 [==============================] - 4s 3ms/step - loss: 0.0012 - accuracy: 0.9995 - val_loss: 0.1246 - val_accuracy: 0.9787\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "plt.plot(history.history['accuracy'], label='accuracy')\n", - "plt.plot(history.history['val_accuracy'], label = 'val_accuracy')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Accuracy')\n", - "plt.ylim([0.5, 1.5])\n", - "plt.legend(loc='lower right')" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 296 - }, - "id": "gv9EZD0zLISC", - "outputId": "fe840335-9e8e-4666-a198-3c24695d7859" - }, - "execution_count": 46, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 46 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "test_loss, test_acc = model.evaluate(X_test,Y_test, verbose=2)\n", - "print(test_acc)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "EQ-age-8LPqB", - "outputId": "925c96ef-f22c-460f-e065-3c328a44e061" - }, - "execution_count": 47, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "63/63 - 0s - loss: 0.0732 - accuracy: 0.9850 - 265ms/epoch - 4ms/step\n", - "0.9850000143051147\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code\n", - "predictions = model.predict(X_test)\n", - "for i in range(5):\n", - "\n", - " print(np.argmax(predictions[i]))" - ], - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "dbf8d335-6626-4cf0-c169-bd1898934be9" - }, - "execution_count": 48, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "9\n", - "7\n", - "1\n", - "2\n", - "9\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "for i in range(5):\n", - " plt.imshow(X_test[i], cmap=\"gray\") # Import the image\n", - " plt.show() # Show the image" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "ViSpXb5XLjLX", - "outputId": "01e135c0-82f6-4692-a194-93e48a90478b" - }, - "execution_count": 49, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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}, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "predictions=model.predict([X_test])\n", - "for i in range(25,32):\n", - " plt.imshow(X_test[i])\n", - " plt.show()\n", - " \n", - " print('label -> ',Y_test[i])\n", - " print('prediction -> ',np.argmax(predictions[i]))\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "drh3JHDdPjRh", - "outputId": "ed35a28d-c5f7-4b43-b8db-d9f36dd37eb7" - }, - "execution_count": 50, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": "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\n" - }, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "label -> 1\n", - "prediction -> 1\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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}, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "label -> 2\n", - "prediction -> 2\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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- }, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "label -> 4\n", - "prediction -> 4\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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}, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "label -> 2\n", - "prediction -> 2\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_200135.ipynb b/Assignment 3/A3_200135.ipynb deleted file mode 100644 index e557d18..0000000 --- a/Assignment 3/A3_200135.ipynb +++ /dev/null @@ -1,400 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV_with_TF-Assignment-3.ipynb", - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "execution_count": 66, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 67, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "f, ax = plt.subplots(1, 10, figsize=(20,20))\n", - "for i in range(0, 10):\n", - " sample = X_train[Y_train == i][0]\n", - " ax[i].imshow(sample, cmap='gray')\n", - " ax[i].set_title(\"Label: {}\".format(i), fontsize=16)" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 160 - }, - "outputId": "11a3f0c8-3bed-465b-c2fc-09246d2a6eff" - }, - "execution_count": 68, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "plt.hist(Y_train,color='g',label='train')\n", - "plt.hist(Y_test,color='b',label='test')\n", - "plt.legend()\n", - "plt.show()" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "outputId": "933da03d-887c-4b24-fe8d-984c0e6d5f2e" - }, - "execution_count": 69, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing \n", - "X_train = X_train / 255.0\n", - "X_test = X_test / 255.0" - ], - "metadata": { - "id": "rbt0WbW6sDVs" - }, - "execution_count": 70, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "from tensorflow.keras import layers, models\n", - "model = models.Sequential()\n", - "model.add(layers.Conv2D(4, (3, 3), activation='relu', input_shape=(28, 28, 1)))\n", - "model.add(layers.Conv2D(16, (4, 4), activation='relu'))\n", - "model.add(layers.Conv2D(64, (5, 5), activation='relu'))\n", - "model.add(layers.MaxPooling2D((3, 3)))\n", - "model.add(layers.Dropout(0.25))\n", - "model.add(layers.Flatten())\n", - "model.add(layers.Dense(256, activation='relu'))\n", - "model.add(layers.Dropout(0.5))\n", - "model.add(layers.Dense(128, activation='relu'))\n", - "model.add(layers.Dropout(0.75))\n", - "model.add(layers.Dense(10,activation='softmax'))\n", - "\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n" - ], - "metadata": { - "id": "1L07EyQ0Yion" - }, - "execution_count": 77, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.learning_rate =0.015\n", - "model.compile(optimizer='adam',loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n", - " metrics=['accuracy'])\n", - "history = model.fit(X_train, Y_train, epochs=20,validation_split=0.4)\n", - "\n" - ], - "metadata": { - "id": "nKEZ8cbO9JVV", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "9a66c5e8-01d4-4d11-8ca9-760ca93089d4" - }, - "execution_count": 78, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/20\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "150/150 [==============================] - 2s 7ms/step - loss: 1.4901 - accuracy: 0.4648 - val_loss: 0.3204 - val_accuracy: 0.9287\n", - "Epoch 2/20\n", - "150/150 [==============================] - 1s 6ms/step - loss: 0.5323 - accuracy: 0.8371 - val_loss: 0.1793 - val_accuracy: 0.9509\n", - "Epoch 3/20\n", - "150/150 [==============================] - 1s 5ms/step - loss: 0.3028 - accuracy: 0.9054 - val_loss: 0.1317 - val_accuracy: 0.9634\n", - "Epoch 4/20\n", - "150/150 [==============================] - 1s 5ms/step - loss: 0.2350 - accuracy: 0.9335 - val_loss: 0.1131 - val_accuracy: 0.9697\n", - "Epoch 5/20\n", - "150/150 [==============================] - 1s 6ms/step - loss: 0.1857 - accuracy: 0.9502 - val_loss: 0.1299 - val_accuracy: 0.9734\n", - "Epoch 6/20\n", - "150/150 [==============================] - 1s 6ms/step - loss: 0.1564 - accuracy: 0.9590 - val_loss: 0.1067 - val_accuracy: 0.9719\n", - "Epoch 7/20\n", - "150/150 [==============================] - 1s 5ms/step - loss: 0.1264 - accuracy: 0.9631 - val_loss: 0.0990 - val_accuracy: 0.9731\n", - "Epoch 8/20\n", - "150/150 [==============================] - 1s 5ms/step - loss: 0.1241 - accuracy: 0.9615 - val_loss: 0.0883 - val_accuracy: 0.9759\n", - "Epoch 9/20\n", - "150/150 [==============================] - 1s 6ms/step - loss: 0.0960 - accuracy: 0.9731 - val_loss: 0.1113 - val_accuracy: 0.9769\n", - "Epoch 10/20\n", - "150/150 [==============================] - 1s 5ms/step - loss: 0.0856 - accuracy: 0.9725 - val_loss: 0.0826 - val_accuracy: 0.9797\n", - "Epoch 11/20\n", - "150/150 [==============================] - 1s 5ms/step - loss: 0.0753 - accuracy: 0.9802 - val_loss: 0.1200 - val_accuracy: 0.9756\n", - "Epoch 12/20\n", - "150/150 [==============================] - 1s 6ms/step - loss: 0.0690 - accuracy: 0.9779 - val_loss: 0.1223 - val_accuracy: 0.9762\n", - "Epoch 13/20\n", - "150/150 [==============================] - 1s 5ms/step - loss: 0.0915 - accuracy: 0.9750 - val_loss: 0.1040 - val_accuracy: 0.9787\n", - "Epoch 14/20\n", - "150/150 [==============================] - 1s 6ms/step - loss: 0.0674 - accuracy: 0.9804 - val_loss: 0.0956 - val_accuracy: 0.9800\n", - "Epoch 15/20\n", - "150/150 [==============================] - 1s 6ms/step - loss: 0.0504 - accuracy: 0.9850 - val_loss: 0.0869 - val_accuracy: 0.9828\n", - "Epoch 16/20\n", - "150/150 [==============================] - 1s 6ms/step - loss: 0.0573 - accuracy: 0.9835 - val_loss: 0.0904 - val_accuracy: 0.9825\n", - "Epoch 17/20\n", - "150/150 [==============================] - 1s 6ms/step - loss: 0.0520 - accuracy: 0.9852 - val_loss: 0.1239 - val_accuracy: 0.9803\n", - "Epoch 18/20\n", - "150/150 [==============================] - 1s 5ms/step - loss: 0.0541 - accuracy: 0.9844 - val_loss: 0.1264 - val_accuracy: 0.9759\n", - "Epoch 19/20\n", - "150/150 [==============================] - 1s 6ms/step - loss: 0.0471 - accuracy: 0.9856 - val_loss: 0.1054 - val_accuracy: 0.9803\n", - "Epoch 20/20\n", - "150/150 [==============================] - 1s 5ms/step - loss: 0.0391 - accuracy: 0.9867 - val_loss: 0.1015 - val_accuracy: 0.9794\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['accuracy'], label='accuracy')\n", - "plt.plot(history.history['val_accuracy'], label = 'val_accuracy')\n", - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label = 'val_loss')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Accuracy/loss')\n", - "plt.legend()\n", - "\n", - "test_loss, test_acc = model.evaluate(X_test, Y_test, verbose=2)" - ], - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 351 - }, - "outputId": "004f9324-29ab-4bf4-ef7d-44f876f045e3" - }, - "execution_count": 79, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "63/63 - 0s - loss: 0.0666 - accuracy: 0.9840 - 295ms/epoch - 5ms/step\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "predictions=model.predict(X_test)\n", - "predictions=np.argmax(predictions, axis=1)\n", - "predictions\n", - "f, ax = plt.subplots(1, 10, figsize=(28,28))\n", - "for i in range(0, 10):\n", - " ax[i].imshow(X_test[i], cmap='gray')\n", - " ax[i].set_title(\"Predict: {}, True: {}\".format(predictions[i], Y_test[i]), fontsize=12)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 176 - }, - "id": "Ue-HV2_oEtum", - "outputId": "7ccc9cd3-5724-4cc7-d39a-e830eeff2f1e" - }, - "execution_count": 80, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": { - "needs_background": "light" - } - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_200155.ipynb b/Assignment 3/A3_200155.ipynb deleted file mode 100644 index 94d2084..0000000 --- a/Assignment 3/A3_200155.ipynb +++ /dev/null @@ -1,578 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Assignment-3_200155.ipynb", - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "#Importing required libraries" - ], - "metadata": { - "id": "0h3-7LWlsg-h" - } - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "50uuFArErt5g" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "import matplotlib.pyplot as plt\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense,LSTM\n", - "from tensorflow.keras.utils import to_categorical" - ] - }, - { - "cell_type": "markdown", - "source": [ - "#Import, loading and normalizing MNIST dataset" - ], - "metadata": { - "id": "vcmHe_bgsy6v" - } - }, - { - "cell_type": "code", - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "(X_train,y_train),(X_test,y_test)=mnist.load_data()\n", - "X_test,X_train=X_test/255.0,X_train/255.0\n", - "Y_train = to_categorical(y_train)\n", - "Y_test = to_categorical(y_test)" - ], - "metadata": { - "id": "2kMKBk1ks5y1", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "42149e08-7c5a-4f37-e62c-b26223ff2ce5" - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n", - "11493376/11490434 [==============================] - 0s 0us/step\n", - "11501568/11490434 [==============================] - 0s 0us/step\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#Visualising Dataset" - ], - "metadata": { - "id": "d4LiJtslKu2w" - } - }, - { - "cell_type": "code", - "source": [ - "n = 10\n", - "plt.figure(figsize=(n*2,2))\n", - "for i in range(n):\n", - " plt.subplot(1, n, i+1)\n", - " plt.imshow(X_train[i], cmap='gray')\n", - " plt.title(\"Class {}\".format(y_train[i]))\n", - " plt.axis('off')\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 141 - }, - "id": "0TPzsVDruZrO", - "outputId": "6115c237-b772-4681-aa59-59a3502df70c" - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#Shape" - ], - "metadata": { - "id": "zyQUMsLmLByv" - } - }, - { - "cell_type": "code", - "source": [ - "y_train.shape=(60000,)\n", - "Y_train.shape=(60000,10)\n", - "\n", - "print(y_train.shape)\n", - "print(Y_train.shape)\n", - "print(y_test.shape)\n", - "print(Y_test.shape)\n", - "print(X_test.shape)\n", - "print(X_train.shape)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "SJw-kkCYte-s", - "outputId": "596934a3-cb6f-494f-b903-85507214f5de" - }, - "execution_count": 4, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(60000,)\n", - "(60000, 10)\n", - "(10000,)\n", - "(10000, 10)\n", - "(10000, 28, 28)\n", - "(60000, 28, 28)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#Model Definition" - ], - "metadata": { - "id": "QtLvAr3PLFnP" - } - }, - { - "cell_type": "code", - "source": [ - "model=Sequential()\n", - "model.add(LSTM(64,input_shape=(28,28)))\n", - "model.add(Dense(12,activation=\"softmax\")) \n", - "model.add(Dense(10,activation=\"softmax\"))\n", - "model.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "UN2ND1qMuhSe", - "outputId": "074a7c50-4896-4aa8-ec35-00368a6b7bd4" - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " lstm (LSTM) (None, 64) 23808 \n", - " \n", - " dense (Dense) (None, 12) 780 \n", - " \n", - " dense_1 (Dense) (None, 10) 130 \n", - " \n", - "=================================================================\n", - "Total params: 24,718\n", - "Trainable params: 24,718\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#Model Training" - ], - "metadata": { - "id": "f4-7Q874LK-a" - } - }, - { - "cell_type": "code", - "source": [ - "model.compile(optimizer=\"adam\", loss=\"categorical_crossentropy\", metrics=[\"acc\"])\n", - "history = model.fit(X_train, Y_train, epochs=100,validation_data = (X_test, Y_test))" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "h18KkCEuvCPR", - "outputId": "0c608580-289b-4b1b-8b56-8ee3d1294b17" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/100\n", - "1875/1875 [==============================] - 28s 14ms/step - loss: 1.5261 - acc: 0.5089 - val_loss: 1.0774 - val_acc: 0.5825\n", - "Epoch 2/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.9059 - acc: 0.6815 - val_loss: 0.7539 - val_acc: 0.7472\n", - "Epoch 3/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.6251 - acc: 0.8182 - val_loss: 0.4863 - val_acc: 0.8570\n", - "Epoch 4/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.4292 - acc: 0.8676 - val_loss: 0.3845 - val_acc: 0.8761\n", - "Epoch 5/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.3504 - acc: 0.8816 - val_loss: 0.3199 - val_acc: 0.9026\n", - "Epoch 6/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.2578 - acc: 0.9557 - val_loss: 0.2484 - val_acc: 0.9607\n", - "Epoch 7/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.1771 - acc: 0.9737 - val_loss: 0.1728 - val_acc: 0.9731\n", - "Epoch 8/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.1377 - acc: 0.9787 - val_loss: 0.1354 - val_acc: 0.9779\n", - "Epoch 9/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.1130 - acc: 0.9805 - val_loss: 0.1330 - val_acc: 0.9754\n", - "Epoch 10/100\n", - "1875/1875 [==============================] - 25s 14ms/step - loss: 0.0974 - acc: 0.9822 - val_loss: 0.1124 - val_acc: 0.9792\n", - "Epoch 11/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0800 - acc: 0.9854 - val_loss: 0.0952 - val_acc: 0.9823\n", - "Epoch 12/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0736 - acc: 0.9857 - val_loss: 0.1122 - val_acc: 0.9786\n", - "Epoch 13/100\n", - "1875/1875 [==============================] - 25s 14ms/step - loss: 0.0651 - acc: 0.9874 - val_loss: 0.0813 - val_acc: 0.9821\n", - "Epoch 14/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0602 - acc: 0.9879 - val_loss: 0.0813 - val_acc: 0.9842\n", - "Epoch 15/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0545 - acc: 0.9889 - val_loss: 0.0784 - val_acc: 0.9849\n", - "Epoch 16/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0512 - acc: 0.9893 - val_loss: 0.0809 - val_acc: 0.9837\n", - "Epoch 17/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0450 - acc: 0.9907 - val_loss: 0.0802 - val_acc: 0.9847\n", - "Epoch 18/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0422 - acc: 0.9912 - val_loss: 0.0761 - val_acc: 0.9851\n", - "Epoch 19/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0384 - acc: 0.9918 - val_loss: 0.0794 - val_acc: 0.9838\n", - "Epoch 20/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0347 - acc: 0.9929 - val_loss: 0.0714 - val_acc: 0.9856\n", - "Epoch 21/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0349 - acc: 0.9924 - val_loss: 0.0847 - val_acc: 0.9830\n", - "Epoch 22/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0324 - acc: 0.9927 - val_loss: 0.0706 - val_acc: 0.9865\n", - "Epoch 23/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0324 - acc: 0.9926 - val_loss: 0.0773 - val_acc: 0.9851\n", - "Epoch 24/100\n", - "1875/1875 [==============================] - 25s 14ms/step - loss: 0.0273 - acc: 0.9941 - val_loss: 0.0746 - val_acc: 0.9852\n", - "Epoch 25/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0252 - acc: 0.9945 - val_loss: 0.0716 - val_acc: 0.9864\n", - "Epoch 26/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.0289 - acc: 0.9937 - val_loss: 0.0768 - val_acc: 0.9853\n", - "Epoch 27/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.0234 - acc: 0.9949 - val_loss: 0.0742 - val_acc: 0.9861\n", - "Epoch 28/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.0226 - acc: 0.9950 - val_loss: 0.0728 - val_acc: 0.9859\n", - "Epoch 29/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.0234 - acc: 0.9948 - val_loss: 0.0710 - val_acc: 0.9868\n", - "Epoch 30/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0228 - acc: 0.9952 - val_loss: 0.0777 - val_acc: 0.9850\n", - "Epoch 31/100\n", - "1875/1875 [==============================] - 27s 15ms/step - loss: 0.0177 - acc: 0.9960 - val_loss: 0.0640 - val_acc: 0.9875\n", - "Epoch 32/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0221 - acc: 0.9949 - val_loss: 0.0808 - val_acc: 0.9850\n", - "Epoch 33/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0170 - acc: 0.9961 - val_loss: 0.1020 - val_acc: 0.9821\n", - "Epoch 34/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0183 - acc: 0.9959 - val_loss: 0.0812 - val_acc: 0.9842\n", - "Epoch 35/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0167 - acc: 0.9962 - val_loss: 0.0718 - val_acc: 0.9863\n", - "Epoch 36/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0172 - acc: 0.9959 - val_loss: 0.0733 - val_acc: 0.9853\n", - "Epoch 37/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0153 - acc: 0.9964 - val_loss: 0.0765 - val_acc: 0.9860\n", - "Epoch 38/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0148 - acc: 0.9966 - val_loss: 0.0835 - val_acc: 0.9839\n", - "Epoch 39/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0156 - acc: 0.9960 - val_loss: 0.0783 - val_acc: 0.9843\n", - "Epoch 40/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.0138 - acc: 0.9964 - val_loss: 0.0742 - val_acc: 0.9859\n", - "Epoch 41/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.0130 - acc: 0.9967 - val_loss: 0.0697 - val_acc: 0.9862\n", - "Epoch 42/100\n", - "1875/1875 [==============================] - 24s 13ms/step - loss: 0.0124 - acc: 0.9972 - val_loss: 0.0794 - val_acc: 0.9849\n", - "Epoch 43/100\n", - "1875/1875 [==============================] - 24s 13ms/step - loss: 0.0148 - acc: 0.9965 - val_loss: 0.0681 - val_acc: 0.9865\n", - "Epoch 44/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.0123 - acc: 0.9969 - val_loss: 0.0810 - val_acc: 0.9850\n", - "Epoch 45/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.0118 - acc: 0.9968 - val_loss: 0.0764 - val_acc: 0.9853\n", - "Epoch 46/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.0100 - acc: 0.9977 - val_loss: 0.0852 - val_acc: 0.9844\n", - "Epoch 47/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0129 - acc: 0.9970 - val_loss: 0.0796 - val_acc: 0.9858\n", - "Epoch 48/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.0109 - acc: 0.9973 - val_loss: 0.0752 - val_acc: 0.9867\n", - "Epoch 49/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.0100 - acc: 0.9975 - val_loss: 0.0758 - val_acc: 0.9846\n", - "Epoch 50/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0107 - acc: 0.9974 - val_loss: 0.0916 - val_acc: 0.9829\n", - "Epoch 51/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0108 - acc: 0.9975 - val_loss: 0.0802 - val_acc: 0.9854\n", - "Epoch 52/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0110 - acc: 0.9975 - val_loss: 0.0745 - val_acc: 0.9867\n", - "Epoch 53/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0105 - acc: 0.9972 - val_loss: 0.0661 - val_acc: 0.9873\n", - "Epoch 54/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0087 - acc: 0.9979 - val_loss: 0.0964 - val_acc: 0.9828\n", - "Epoch 55/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0096 - acc: 0.9977 - val_loss: 0.0797 - val_acc: 0.9860\n", - "Epoch 56/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0103 - acc: 0.9976 - val_loss: 0.0777 - val_acc: 0.9861\n", - "Epoch 57/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0076 - acc: 0.9982 - val_loss: 0.0740 - val_acc: 0.9861\n", - "Epoch 58/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0079 - acc: 0.9983 - val_loss: 0.0746 - val_acc: 0.9876\n", - "Epoch 59/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0084 - acc: 0.9980 - val_loss: 0.0864 - val_acc: 0.9855\n", - "Epoch 60/100\n", - "1875/1875 [==============================] - 25s 14ms/step - loss: 0.0066 - acc: 0.9983 - val_loss: 0.0858 - val_acc: 0.9851\n", - "Epoch 61/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0097 - acc: 0.9977 - val_loss: 0.0901 - val_acc: 0.9843\n", - "Epoch 62/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0096 - acc: 0.9977 - val_loss: 0.0774 - val_acc: 0.9867\n", - "Epoch 63/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0068 - acc: 0.9981 - val_loss: 0.0762 - val_acc: 0.9876\n", - "Epoch 64/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0081 - acc: 0.9981 - val_loss: 0.0684 - val_acc: 0.9860\n", - "Epoch 65/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0084 - acc: 0.9980 - val_loss: 0.0740 - val_acc: 0.9866\n", - "Epoch 66/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0060 - acc: 0.9985 - val_loss: 0.0722 - val_acc: 0.9866\n", - "Epoch 67/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0082 - acc: 0.9980 - val_loss: 0.0813 - val_acc: 0.9851\n", - "Epoch 68/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0085 - acc: 0.9977 - val_loss: 0.0866 - val_acc: 0.9851\n", - "Epoch 69/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.0082 - acc: 0.9983 - val_loss: 0.0754 - val_acc: 0.9869\n", - "Epoch 70/100\n", - "1875/1875 [==============================] - 25s 14ms/step - loss: 0.0072 - acc: 0.9982 - val_loss: 0.0773 - val_acc: 0.9869\n", - "Epoch 71/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0067 - acc: 0.9986 - val_loss: 0.0761 - val_acc: 0.9863\n", - "Epoch 72/100\n", - "1875/1875 [==============================] - 25s 13ms/step - loss: 0.0062 - acc: 0.9988 - val_loss: 0.0683 - val_acc: 0.9884\n", - "Epoch 73/100\n", - "1875/1875 [==============================] - 25s 14ms/step - loss: 0.0071 - acc: 0.9984 - val_loss: 0.0816 - val_acc: 0.9865\n", - "Epoch 74/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0055 - acc: 0.9988 - val_loss: 0.0803 - val_acc: 0.9853\n", - "Epoch 75/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0088 - acc: 0.9980 - val_loss: 0.0656 - val_acc: 0.9874\n", - "Epoch 76/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0075 - acc: 0.9984 - val_loss: 0.0671 - val_acc: 0.9874\n", - "Epoch 77/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0046 - acc: 0.9990 - val_loss: 0.0779 - val_acc: 0.9864\n", - "Epoch 78/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0044 - acc: 0.9990 - val_loss: 0.0837 - val_acc: 0.9861\n", - "Epoch 79/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0070 - acc: 0.9982 - val_loss: 0.0839 - val_acc: 0.9869\n", - "Epoch 80/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0047 - acc: 0.9990 - val_loss: 0.0813 - val_acc: 0.9858\n", - "Epoch 81/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0062 - acc: 0.9984 - val_loss: 0.0806 - val_acc: 0.9866\n", - "Epoch 82/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0055 - acc: 0.9988 - val_loss: 0.0826 - val_acc: 0.9862\n", - "Epoch 83/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0059 - acc: 0.9985 - val_loss: 0.0797 - val_acc: 0.9867\n", - "Epoch 84/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0049 - acc: 0.9987 - val_loss: 0.0791 - val_acc: 0.9869\n", - "Epoch 85/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0062 - acc: 0.9985 - val_loss: 0.0768 - val_acc: 0.9861\n", - "Epoch 86/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0061 - acc: 0.9984 - val_loss: 0.0745 - val_acc: 0.9867\n", - "Epoch 87/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0044 - acc: 0.9990 - val_loss: 0.0802 - val_acc: 0.9866\n", - "Epoch 88/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0057 - acc: 0.9987 - val_loss: 0.0833 - val_acc: 0.9860\n", - "Epoch 89/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0062 - acc: 0.9984 - val_loss: 0.0737 - val_acc: 0.9863\n", - "Epoch 90/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0056 - acc: 0.9986 - val_loss: 0.0731 - val_acc: 0.9873\n", - "Epoch 91/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0031 - acc: 0.9993 - val_loss: 0.0831 - val_acc: 0.9860\n", - "Epoch 92/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0076 - acc: 0.9980 - val_loss: 0.0753 - val_acc: 0.9869\n", - "Epoch 93/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0041 - acc: 0.9991 - val_loss: 0.0814 - val_acc: 0.9867\n", - "Epoch 94/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0043 - acc: 0.9990 - val_loss: 0.0849 - val_acc: 0.9862\n", - "Epoch 95/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0038 - acc: 0.9992 - val_loss: 0.0902 - val_acc: 0.9861\n", - "Epoch 96/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0070 - acc: 0.9983 - val_loss: 0.0759 - val_acc: 0.9855\n", - "Epoch 97/100\n", - "1875/1875 [==============================] - 27s 14ms/step - loss: 0.0042 - acc: 0.9990 - val_loss: 0.0816 - val_acc: 0.9868\n", - "Epoch 98/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0037 - acc: 0.9991 - val_loss: 0.0838 - val_acc: 0.9858\n", - "Epoch 99/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0049 - acc: 0.9990 - val_loss: 0.0781 - val_acc: 0.9869\n", - "Epoch 100/100\n", - "1875/1875 [==============================] - 26s 14ms/step - loss: 0.0058 - acc: 0.9987 - val_loss: 0.0676 - val_acc: 0.9874\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "test_loss, test_acc = model.evaluate(X_test, Y_test)\n", - "print(\"Loss: {0} - Acc: {1}\".format(test_loss, test_acc))" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "z4Kf4Qs8H4C4", - "outputId": "d97e82a8-6e69-468a-f4b0-00b883aff011" - }, - "execution_count": 7, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "313/313 [==============================] - 2s 6ms/step - loss: 0.0676 - acc: 0.9874\n", - "Loss: 0.06757977604866028 - Acc: 0.9873999953269958\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#Plotting Training Loss" - ], - "metadata": { - "id": "HYdS-3gmLX4m" - } - }, - { - "cell_type": "code", - "source": [ - "plt.figure(figsize=(10,10))\n", - "loss_train = history.history['loss'] # training loss\n", - "loss_val = history.history['val_loss'] # validation loss\n", - "epochs = range(0,100) # since epochs=100\n", - "\n", - "plt.plot(epochs, loss_train, 'g', label='Training loss')\n", - "plt.plot(epochs, loss_val, 'b', label='validation loss')\n", - "\n", - "plt.title('Training and Validation loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.legend()\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 621 - }, - "id": "Ys5DJY8HyiVh", - "outputId": "152b644d-f043-4473-a2f8-10cc5fd26664" - }, - "execution_count": 8, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#Plotting Accuracy" - ], - "metadata": { - "id": "ygdZcOK3Lg_Z" - } - }, - { - "cell_type": "code", - "source": [ - "plt.figure(figsize=(10,10))\n", - "acc_train = history.history['acc'] \n", - "acc_val = history.history['val_acc'] \n", - "epochs = range(0,100) # since epochs=100\n", - "\n", - "plt.plot(epochs, acc_train, 'g', label='Training acc')\n", - "plt.plot(epochs, acc_val, 'b', label='validation acc')\n", - "\n", - "plt.title('Training and Validation acc')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Accuracy')\n", - "plt.legend()\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 621 - }, - "id": "yEjwJiN79yKx", - "outputId": "702de8ec-8679-4f63-e72a-a552ced602dc" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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y03XGijO0oWXDtL5A9Q/264n2J7StbZu2tW5TR7xDa5vW6iXNL9G6Bev0kuaX6JiGYxQJRSa8H+ecBtODuSpb/iVYL6VkZo84504b829lDGGvl/R+SRdLOlPSfzjnzpjsPglhOJp1DXTpyY4n9WT7k0qkEjpjxRnavGyzouHoiOUyLqPH2x7Xb1/4rR5re0xV4aoRXRTBN9SexMhKSCQU8RvM7EazJlKjvmSfWmOtuepFW3+buhPd6h/sPyJ0RENRrW5aneu2aYg25AJTsKPrHOicNHQEXRutsdYpVzDG0lLToo2LN2rj4o06qeUkRUIRPXf4Oe3s2qmdh3dqR6evODRWNWpB9QItqF6g5qpmNVY15r4V5387DtZtELgyLqOQ+YpBUDnI36kEYSTjMhpIDagv2afeQR88+wb71BBt0EuahncI65rXqSHakAt+QRAMKlpD6aHcdYVVaHn9cq1oWKFldcuOeA/MRNAFtbd3rwaGjgxC1ZHqXMBprGosWVfiUHooFyh6k72KDcbUEG3Q8vrlaqpqmrTKWGqpTEohC5W9HXhxmyiElaw70sxukvQqSYvMbJ+kT0qKSJJz7muSfi4fwHZKikv681K1BRjPVMay7O7erYf2PaSeZE9uPMZgelCD6cFcGT0ooVdHqjWUHlJ3ojt36Un26IXuF/RUx1M6GDuy0FsZqtTmZZt11sqztKxume7fe7/u2X2PuhJdkqQltUuUyqQUG4yNGWiCb6d1lXUaygypf7Bf/UP9ig/FJfnK0eLaxVpat1RLapfo5CUna0HVAtVW1uaqCbWRWsWH4nq++3l/6XpeDx94WLHBmBbXLtbi2sVqqWnRCYtO0KKaRWqINuS6mOqj9WqMNuaWW1y7OBcoMi6j1lirnu96Xi90v6A9PXtUW1mbqzy01PjqQ6giNCKgDGWGcvc1kSAgTTbGZ74JVYT8+KOGFWVtRyQUyYXjuahU3drAVJW0ElYKVMIwXft69+n27bfrof0Pqb2/PdcN1tHfoYHUgNY1rxtRbVndtFrbWrfp3j336p7d92hv797JH2QcwVie5fXLddLik3TiohN10uKTclWdh/Y9pAf3PqgH9z2oLQe2KJlOal3zOp27+ly9as2rdO6ac7WqcfhglKH0kGKDMcWH4rkQNd6OxDmngdTAuAN2AQClV7buyFIghL34tcZa9fD+hyXJV2/qlmhJ7ZIR1ZXeZK+6BrrUlejSUHooN04iGvLXe3v36vbtt+v2HbdrW9s2Sb6itLx++fA4kZoWVUeqtb1zu55of0I7Du8YMXhzad1SnbPqHJ2z6hydversXBuCxwjGZQykBnKDP+NDcVWGKnPdcZONVcg3mB5Ud6J70uoPAODoUZbuSGAyqUxKbbE27e3dqy0HtujBfQ/qwb0P6vnu58dcvqmqSZLUk+iZcAB1IGQhnb3qbH3+/M/r9ce9XhsWbZhw7EcildCzh57V893Pa+PijVrXvG7SsSKRkB9EHgzanYnKUCUBDADmEUIYSiKVSenJ9ie1t3ev9vfu94fi9/nrA30HdDB2UB39HSPC1PL65Tpr5Vl63+nv08tXvlyVocoRA8pbY60ymZqrm9VU1ZQ7qqgyVKnB9GBuvFYylVRTVZPOf8n5aq5unnKbq8JVfk6apaeUYpUAADACIQxF0xpr1R0779Avdv5Cdz53Z25gueQP615S57sDj2k8RmesOEPL65drWd0yLa9frlOWnqJjGo7hKCUAwLxBCMOUxQZj2ta6LTcDdGe8U4cHDutw4rC2d27XH1r/IElaVrdMbzzhjTr/JedrXfM6rWhYoaV1SzkSCQCAPOwVMUIylVRbf1tussXtndv1aOuj2npwq7Z3bh/RfVhhFVpQvUALqxdqRcMKffa8z+qiYy/SKUtOoaIFFIlzUqk/Ts75S8VRdBDtH/4gfeUr0vbt0lveIl1xhbRwYblbBUwPR0fOcwf7DuqWp27RLU/doqc6ntLhgSPPub6qcZU2L9usU5eeqs3LNmvDog1aVLNI9dF6pj7IMzQk7dghtbT4y3geflj613+V9u+X/vZvpcsvl8J8HSqaZFIaGJCamop3nx0d0s6d0p49w5d9+6SLLpLe/e7iPY7kw9Bjj0k/+5l0++3SI4/4x/nrv5bOP3/mQSkel7Zu9Y/x+OPDF0l6wxukN75RuvBCqa5u7P8fHPRtzFdRIUWmfiBwTiYjPfigdHCM86TU10urVvlLrZ/MX4mEdOutPnw9+KBUXS2tXSs99ZR//Esukd7xDt/+idrT1SV95zvSzTdLsTHmHV67VnrZy6TNm/31ihUTB2HnpPZ26ZlnpHTa/09j48TPPZ2WQpNMb5dMSm1tvo3x+PBlYEBatkw64YTx3+fOSZ2dUn+/Xxf5l+rqqb+P0mnp2Wf9+/DRR6Vdu/x6Oe886cwzpcrKIx/3hRf8a5LJSDU1Iy8LF0rNzcX5YtHTIz3/vHT88f45jcU5ae9e3/a9e/17LbgcOCB98IPSn5d4llKmqIAkP7VD/2C/Ogc6dcfOO/SDJ3+g373wOzk5nbz4ZJ2z6pzcud+Cy9qmtVpYMze/Xh44IH3gA37n+JrXSK97nfRHfzT+h1HyH8hnnpHuu0+6917/Lfqkk6SXv9xvUE46aXjD2N/vNz7PPOPDldnIjUlVlbR79/BO7OmnfRALhaTXvla68kq/Qwt2Zg88IH3mM9Idd0gLFkhLl/oN1fr10j/9k1++kB1ZKuV32Dff7MPf5s3+cuKJw/fnnN/oPPec34iuWyedffb0N4S7d0u//73U3e03gMElnfbr77zzpGOOGfk/iYT0m99It93mr084QXr96/1l9erpP998HR3SQw/59R+Eimef9X+79FIfXM47b/rBpbNT+t3vfHvvvtu/TvmamvxOdvdu6e/+TvrCF8Z/jCee8PczOOjfH8ElPcZZhQ4dkn7xCx/wJOm006RTT5V+/GP/XNevl977Xh80Fkxz/tPOTuk//9NfDme/azU0SJs2SSef7HfsP/2pXy4a9e/hM8+UWlt96Ny92193dx953xUV0lln+RD3+tdLGzeO/95yTtq2TbrxRummm4af60QWLvRhbO9ev46OO86vhz/7M79D37ZN+u53pe99z6+nhQv9tuCVr/SXU0/1n4VHHvEB7qab/PM9/fQj34NB6HjmGR8iJGnxYv/4jY0jLz09frlnnvHBLmAmbdjg19+ZZ/rPxI4dfrmnn/bXbW1+/S9a5D+3ixb54Hno0HBIOHzkd+IjLFniP1MnnOC3BflfFAbGOWtUOCytXOmf0+rV/rq5WertHfm5bm316zbu531WdbVfdvt2/zpWV/v1e9ZZftnHH/fv976+idscjfrt37Jl/tLUdGRQbGgY2b4VK/zn5v77hz+XW7b41ygU8tu7YNu3bp1vy+9/7y/5IT8cHvnYf/EX0mWXTb6eZ4IQNk/ds/se/eOv/1F7evbkTm2T3514/MLjdfnGy/W2k96mDS0bJrwv5/xGY+dO/0E//fThb6djyWT8xrWjw29Uguu+Pr9BPOecI78pptN+x3fjjX6ns3GjdM01fmM62g9+4DfCiYTfyD34oP/WGI365Tdv9veXv9Nra/Mf4M5Ofx+LF/sN1xNPDG/s6up8EDtwwG/wp2LlyuEd2Ukn+Y3sjTf6nVZ1tf+Ad3RIv/6139hefbUPB7W10k9+4p/j1q3SmjU+jL3jHVOrjB08KP33f0vXXefX9eLFfmMZfLOPRv06TCR88Bq9Qd640a/Dt7/db/DG4pz05JM+QP34x/7bZL6KCv86ptN+Ay75DeB550mnnCLdc4/085/7NtXXS696lQ80zz033IaLL/aBIn/j39vrf3fyycPrdskS/zo+8ID0y19Kv/rVyPasWeOXO/lkv9y3v+3fc8ceOxxcmic4WDad9u+rL37R76yd86/ROedIr361v99Vq/wOtaHBL//3fy/9x39Ib32rdP31PpgH4nHp05/2AW104DLzO47RQaWmxn+heP3r/XpZutT/PpmUfvQjHyDuu89XH1atGrkDX7TIV3BOOMEHgCVL/P3v2+fbcN11vk2XXeZ3PC99qX8u+W1Ipfxn5Lbb/GXPHr+DDCpSq1f7No2u4PT0SHfeOfx6rFrlq1GjK8LJpH8/PPWUf49feKH0J3/i120+5/x9BmEiCID19dK73uXfX2OFvKEh/yXnf/7Hf8natWt4va5c6cNDTY1/z7/3vX4djKe/3wf7oALU2nrkl4/aWr+ugxC0IbsZDXb+Dz00vL2R/LrcsMFfVq7095G/fezt9a9jEBCWLfPru6HhyC+Ae/cOB8Ag2AXviyC4rFrl11n+dnBoyAfG/LC2f//we7S+3n+mm5p8W045ZbgqePzx/nXr6vKf7SAMPf64/2wFn9VNm/y2MBodWcHr7/fPNb8adfCgf96j25gYdf704DOTSvk2BF/6Nmzw76dHHvGX9vbh/1m/3i/38pf7fdbatf45zXa3OyFsnumMd+rDd35Y3/7Dt7W6cbXOW3te7jQzweXMFWdq05JN447dOnzYf7O8914fvHbt8h+gQDjsP5TBN8116/wG69FH/WXr1uGd8lgqKvwHOyhp33+//3Z64IAPQhdf7D/kra2+C+Yzn/EfpMOHpfe9z1d9zjzT7/iOO85/wO+91++Yf/lLv7Ed/c2qsdF/Y3vlK/2Odf16/8F2zj/HYMP5xBP+W1f+xnX9er8BGBgYuVFZvnzsHXsm48PC978v/fCH/vE/8hHpr/7qyPDqnO92uuYa31W5caP0pS/5nfFozvn18pWv+J1yKiVdcIHfobzhDX697tjhX4NHHvHjZmpr/euzfr2/XrPG78i/8hW/XF2d9Kd/6tdLZ6ffGQSXRx7xgcnMr/83vcm/Hi0tfn3W1fm/ZTJ+Q3z33X7D/Lvf+dd/8WK/03/Tm/xrHY3657B9+3B32733Dm9YgwpDQ4MPzfnfYFtahjfk4bB/LS+4wAe7TZuODJLJ5HDX1QMP+Me+6CIfmC65xO9sJP/YN97ou4i3b/ffqK+4wgev008/srtl9Ovx7/8ufehD/j314x/78PjLX/rX5PnnfeD59Kf98wrei5N1Q03k8cd9xWfv3uGdd7AjT+ad1aqx0b/mjz3mX58rr/TvwZNOmtrjOOfX90RftkY7cMCHrNtv9186ggpKIHgfXXmlH8e1aNHU77sQBw74bct99/mgcskl0lVXTd5VWCzO+W3nwYN+O9XSUvrxfYVIpYa/KBXy3ozH/RfOYj63gQH/Hs8P4qmU/5J99tljd5fnV/w3bCj9+2uqCGHzhHNO12+7Xh+680PqTnTr6rOu1ifO/YRqIjVTvo+HH/Y7rZtv9t9Ejj/eVxLyd+LODW/Yfv/7kRv+qqrhb06bNvlvcsG39JYWvyP8/e/9zvruu/03xVTK75guushvnN/wBv9tLx6XvvY16XOf8zuY173O74Da26VPfUr66EePjrFU6bTfOE327cs5H6w+/GG/8770Uunf/s2v/54e6YYbpK9+1X/ra2ryO/f3vMf/vRDOjXy9g9fRzAeJRYv8633ppf6ybNnU7zuV8hvNNWsm36jH474tNTVHbsQPHRrZ1RiN+uD16lePX70by7Zt0re+Jd1yi99IB4HszDOlb3zD7yg3bZI+8QkfGKf7Tfnmm33X2Lp1/v1/883+s/P1r0vnnju9+yqUc76iEVRFnnnGd6udeKKvvs606xdAYSYKYXLOHVWXl73sZQ4j9Q/2u1uevMWd++1znT4l94pvvsI91vqY27HDuXe9y7k77pj4/zMZ537wA+dOO80fI1Vb69x73uPctm2TP3Yi4dz99zt3443OPf64c0ND02t7LObcvfc619k5/jJ9fc5de61zCxY4t3Gjc488Mr3HONoMDDj3uc85V1/vXCTi3Bve4F8TybnTT3fuW99yrr+/uI95+LBzTz3lXEeHc6lUce97Lkmn/fvtAx9wbtkyv043b3buxz/2f5uJu+92rrHRucpK5z75Sf/ZAABJW9w4mYZK2FEqmUrmBtf/5NmfqH+oX0tql+iaV1+jt5/4l/p/n6/QtdcOVzeuvlr67GeP7Frp6PDVlB/9yJdv3/c+3zU1nSrDbKKvNa8AACAASURBVJmNQ/XnktZW6Z//2XdxXXqp7946bezvUihAJjNcrSvW+2rvXl/5XLOmOPcH4OhHd+SLRMZldM/ue3TDtht069O3qjfZq4XVC/XmDW/W2za+TeeuPld3/iqk97/f94lffrkf5/KFL/gup5e9zI+7CrqvfvpTP8i1q0v6l3/xg4xnMlYFAACMxAm8j3LPHHpGN2y7Qd97/Hva07NHdZV1evOGN+uKjVfovLXnKRKKqKNDuvxtfiDyccf5I5XOP9///5e/7H9+5zv9YPovfckfTfjNb/rxK3feeeTRSQAAoLQIYXOYc05X//wf9cXbfypb8rRet/4CXfuaa/XGE944YrD9Pff4o7k6O31F60Mf8gOP873pTb4r68orpb/8Sz/w+B/+QfrkJ49cFgAAlB4hbI5yzum9P/qovn71xdLua3X6WYP6+1dU6vy8SRAzGenaa/0RXevW+cPCJ5r35phj/BGJ3/ymPxLs5S+fnecCAACOxDln5qCMy+gvbvqwvv43b1HFvnP0t3/rdGBvpS64QHrFK/yM2m1tfqLDj39cetvb/HxOEwWwQCjkT7NCAAMAoLwIYXNMOpPWld/5kL7zwT9TqONU3fajCn3pS6adO/2cWQcO+IlMV63yk1xed52fEDSYeBIAABwdCGFzSDqT1lu/8WHdfPVfK9J7nH75i7AuvdT3PUajfrb1HTv8qWouvthPevqud82vaRsAAHixYEzYHHL1TV/TbR/5oKoyi3T33dExuwwrK/1Rju985+y3DwAAFA8hbA751uc2Kpxu1EP3V+uUU8rdGgAAUEp0R84RDz3eqr4nztEfveUJAhgAAPMAIWyO+MwX2yRz+tjfLCh3UwAAwCwghM0Bg4PSr3+0WlUn3qXzTz2+3M0BAACzgBA2B9xya1rJnib90ZufknGoIwAA8wID8+eAf/uPmNR8SH/xlpXlbgoAAJglVMLK7MknpT/8vlF22jf0umNfW+7mAACAWUIIK7OvfU2y8KBOf/0TaqpqKndzAADALCGElVEsJn33+ozchh/qklM5mSMAAPMJIayMbrpJ6uutkE7/qi5af1G5mwMAAGYRA/PLxDnpq1+VmlbtUfj4HTp12anlbhIAAJhFVMLK5H//V9q6VRp62X/qwmNfpwrjpQAAYD5hz18m3/ymVFObVv8JX9OF6y4sd3MAAMAsI4SVybPPSi3r98mi/bpg3QXlbg4AAJhlhLAyaWuTYpGdOm35aWqpbSl3cwAAwCwjhJVJW3tGnRXP6ML1dEUCADAfEcLKYHBQ6u6qkGpbmZoCAIB5ihBWBh0d/rqmKabTV5xe3sYAAICyIISVQXu7vz5meVThCqZqAwBgPiKElUFbm79e1JIpb0MAAEDZEMLKIKiEtSx25W0IAAAoG0JYGQSVsOVLQuVtCAAAKBsGJJVBa2taCg9q8YKacjcFAACUCZWwMtjXOiTVtmlhzYJyNwUAAJQJIawMDhxMS7Xtaq5qLndTAABAmRDCyqC9Q1JtuxZUUwkDAGC+IoSVQWd7SKprU3M1lTAAAOYrQtgsc07qPlxJJQwAgHmOEDbLurqkdKpCqm0jhAEAMI8RwmZZMFGratvVVNVU1rYAAIDyIYTNsiCE1TT3c95IAADmMULYLAtmy29ckChvQwAAQFkRwmZZUAlb2JIub0MAAEBZEcJmWVubJMuopcXK3RQAAFBGhLBZ1t4uhWq7tLCWQfkAAMxnhLBZ1t4uqbaDUxYBADDPEcJmWVubU6bmAHOEAQAwzxHCZllbm5NjolYAAOY9Qtgsa2uXVNtGdyQAAPMcIWwWDQxIsb4KzhsJAAAIYbOpoyP7Q227mquphAEAMJ8RwmZRMFu+6hgTBgDAfEcIm0X5J+9mTBgAAPMbIWwW5SphHB0JAMC8RwibRUElLFTfpbrKuvI2BgAAlFW43A2YT9rbpXBVQs0NUZlx7kgAAOYzKmGzqK1NijZ20xUJAAAIYbOpvV0K1x1megoAAEAIm01tbZLqmKgVAAAQwmZVe7uUqTnI9BQAAIAQNlsyGT9j/mDVfiphAACAEDZbOjt9EEtW7aYSBgAACGGzJX+2fCphAACAEDZLmC0fAADkI4TNkhHnjWSKCgAA5j1C2CwZroTRHQkAAAhhs6a9XaoIZaTqwwzMBwAAhLDZ0t4u1TUNSBWOShgAACCEzZa2NqmmuU+SGBMGAAAIYbOlvV2KNvSoNlKrylBluZsDAADKjBA2S9rapFA9J+8GAAAeIWyWtLdLxpGRAAAgixA2C/r7pXhcStccJIQBAABJhLBZEcwRNlS9j+kpAACAJELYrAhmyx+I7qYSBgAAJBHCZkVQCYtFdlEJAwAAkghhsyKohA1W7aESBgAAJBHCZkXu5N01HUxRAQAAJBHCZkVbm1TfkJYiSSphAABAEiFsVrS3S40Lk5JECAMAAJIIYbOirU2qbx6QJAbmAwAASSUOYWZ2oZk9a2Y7zexjY/x9tZn92sweM7PfmtnKUranXPbskeoW9kqiEgYAALyShTAzC0n6sqSLJJ0o6QozO3HUYv8m6Xrn3CZJ10i6tlTtKZeeHmnXLmnR2gOSxMB8AAAgqbSVsDMk7XTO7XLODUq6WdJlo5Y5UdJvsj/fPcbfj3rbtvnrxjXPqcIq1BBtKG+DAADAnFDKELZC0t682/uyv8u3TdIfZ39+k6R6M1s4+o7M7N1mtsXMtnR0dJSksaWydau/jq58Wk1VTaowhuEBAIDyD8z/kKRzzWyrpHMl7ZeUHr2Qc+4659xpzrnTWlpaZruNM7J1q7RkiTRYwymLAADAsHAJ73u/pGPybq/M/i7HOXdA2UqYmdVJerNzrruEbZp1W7dKp54qHR44zJGRAAAgp5SVsIclHWtma82sUtLlkn6Sv4CZLTLL9c/9g6RvlbA9sy6RkJ56yoewrkQXlTAAAJBTshDmnEtJer+kX0p6WtIPnXNPmtk1ZnZpdrFXSXrWzLZLWiLpX0vVnnJ44gkplZI2b/aVMEIYAAAIlLI7Us65n0v6+ajffSLv51sl3VrKNpRTMCj/1FOlrl1ddEcCAICccg/Mf1HbulVqaJBWr8nQHQkAAEYghJXQ1q3SS18q9Q/1KeMyTNQKAAByCGElkk5Ljz02fGSkxCmLAADAMEJYiWzfLsXjw0dGSpy8GwAADCOElUj+oHwqYQAAYDRCWIk8+qgUjUobNgyHMMaEAQCAACGsRLZulU4+WYpEpK4B3x1JJQwAAAQIYSXg3PDpiqS8ShhjwgAAQBYhrAT27JG6uoZDWFeiS1XhKlVHqsvbMAAAMGcQwkogf1C+xCmLAADAkQhhJbB1q1RRIW3a5G93JThlEQAAGIkQVgJbt0rHHy/V1PjbVMIAAMBohLASePTR4a5I55x2d+/WoppF5W0UAACYUwhhRdbRIe3fPxzCthzYoue7n9fFx15c3oYBAIA5hRBWZMGg/M2b/fX1265XNBTVW098a/kaBQAA5hxCWJEFIeylL5UG04O66YmbdNkJl6mxqrG8DQMAAHMKIazItm6VVq+WFiyQ7th5hzoHOnXVpqvK3SwAADDHEMKKLH+m/Ou3Xa/FtYt1wboLytsoAAAw5xDCiqitTdq+XTrzTH++yJ9u/6mu2HiFIqFIuZsGAADmGEJYEf361/76/POlHz75Qw2mB3XVKXRFAgCAIxHCiuiuu6TmZt8def1j1+vElhN16tJTy90sAAAwBxHCisQ5H8LOO096oec5PbD3AV216SqZWbmbBgAA5iBCWJHs2CHt3eu7Im947AaZTFduurLczQIAAHMUIaxI7rrLX7/mNU43PHaDzlt7nlY2rCxvowAAwJxFCCuSu+7y84O1VT6gXV27GJAPAAAmRAgrglRK+s1vpNe+VrrhsetVE6nRH2/443I3CwAAzGGEsCJ45BGpp8ePB7vtmdt02fGXqa6yrtzNAgAAcxghrAiC8WBnvrJfHfEObVqyqbwNAgAAcx4hrAjuusufsDtVfVCStLx+eZlbBAAA5jpC2Az190sPPOC7Ivf37pckrahfUeZWAQCAuY4QNkP33ScNDvoQdqDvgCQqYQAAYHKEsBm6806pslI65xxCGAAAmDpC2AzddZd09tlSTY20v2+/aiO1aog2lLtZAABgjiOEzUB7u7Rtm++KlHwlbHn9cs4XCQAAJkUIm4Hf/MZfjw5hAAAAkyGEzcBdd0mNjdLLXuZv7+/brxUNHBkJAAAmRwgrkHN+UP5550mhkOSc85WwOiphAABgcoSwAnV1SXv2SK94hb/dnehWIpWgOxIAAEwJIaxAfX3+esECf72/LztRK92RAABgCghhBYrF/HVd9jzdzBEGAACmgxBWIEIYAACYCUJYgUaHsOC8kYQwAAAwFYSwAo1VCVtQvUBV4aryNQoAABw1CGEF6u/317W1/vpAjIlaAQDA1BHCCjRWd+SKeo6MBAAAU0MIK9BY3ZFUwgAAwFQRwgoUhLDaWimdSas11koIAwAAU0YIK1AsJlVVSeGw1N7frrRL0x0JAACmjBBWoFiMOcIAAEDhCGEFIoQBAICZIIQVqL9/eHoKzhsJAACmixBWoNGVsAqr0OLaxeVtFAAAOGoQwgo0OoQtqV2icEW4vI0CAABHDUJYgfJD2P6+/XRFAgCAaSGEFWh0JYxB+QAAYDoIYQU6IoTVEcIAAMDUEcIKFISwZCqpQ/FDdEcCAIBpIYQVIJOR4nE/RcXB2EFJzBEGAACmhxBWgHjcX9fVMVErAAAoDCGsAMHJu+vqpP292YlaOW8kAACYBkJYAfJDGJUwAABQCEJYAUaHsGgoqgXVC8rbKAAAcFQhhBVgRHdk334tr18uMytvowAAwFGFEFaA0ZUwuiIBAMB0EcIK0N/vr2trCWEAAKAwhLACjO6O5MhIAAAwXYSwAgQhTJGYYoMxKmEAAGDaCGEFCEJYr2N6CgAAUBhCWAFiMclM6kztkyTOGwkAAKaNEFaA4OTdB2NUwgAAQGEIYQUIQhiz5QMAgEIRwgrQ3++np9jfu18N0QbVVdaVu0kAAOAoQwgrQK4SFmOOMAAAUBhCWAHyuyMJYQAAoBCEsAIEIWx/LxO1AgCAwhDCCuBDmKMSBgAACkYIK0AsJkWqBjWUGdKS2iXlbg4AADgKEcIKEItJ0ZohSeLISAAAUBBCWAH6+30lTJJqIjVlbg0AADgaEcKmaXDQXyqrkpKk6kh1mVsEAACORoSwaerv99fhah/CqIQBAIBCEMKmKRbz16GqAUlSdZhKGAAAmD5C2DTlQljUhzAqYQAAoBCEsGkKQlhFZVwSY8IAAEBhCGHTFIQwi/rBYVTCAABAIQhh0xQMzHcRn8YYEwYAAApBCJumoBKmSv8DlTAAAFAIQtg0BSEsHemRxJgwAABQGELYNAUhLBPpVchCilREytsgAABwVCKETVMQwlKhHlVHqmVm5W0QAAA4KhHCpikWkyorpUHFGA8GAAAKRgibplhMqquT4qk4R0YCAICClTSEmdmFZvasme00s4+N8fdVZna3mW01s8fM7OJStqcY+vul2lppYGiAShgAAChYyUKYmYUkfVnSRZJOlHSFmZ04arGPS/qhc+5USZdL+kqp2lMsuUrYUJwjIwEAQMFKWQk7Q9JO59wu59ygpJslXTZqGSepIftzo6QDJWxPUQQhbCBFJQwAABSulCFshaS9ebf3ZX+X71OS3m5m+yT9XNIHxrojM3u3mW0xsy0dHR2laOuUjaiEMSYMAAAUqNwD86+Q9B3n3EpJF0u6wcyOaJNz7jrn3GnOudNaWlpmvZH5cpUwxoQBAIAZKGUI2y/pmLzbK7O/y/dOST+UJOfcg5KqJC0qYZtmjDFhAACgGEoZwh6WdKyZrTWzSvmB9z8ZtcweSa+RJDPbIB/CytvfOIn8EFYTphIGAAAKU7IQ5pxLSXq/pF9Kelr+KMgnzewaM7s0u9jVkt5lZtsk3STpHc45V6o2FUN/PwPzAQDAzIVLeefOuZ/LD7jP/90n8n5+StLZpWxDMTnnK2G1tXRHAgCAmSn3wPyjysCAD2K1tRklUgkqYQAAoGCEsGkITt4drUlJElNUAACAghHCpiEIYZVVg5JEJQwAABSMEDYNQQgLVyUkiTFhAACgYISwaciFsGofwqiEAQCAQhHCpqG/31+HogOSGBMGAAAKRwibhqASZpVxSVTCAABA4Qhh0zAcwnxJjDFhAACgUISwaciFsKgPYVTCAABAoQhh0xCEMFfZJ4kxYQAAoHCEsGkIQlg65EMYlTAAAFAoQtg0BOeNTKT9wHzGhAEAgEIRwqahv1+qq5MGUn6KCiphAACgUISwaQgqYfGhbCWMMWEAAKBAhLBpiMWylbChAYUrwoqEIuVuEgAAOEoRwqYhCGHxoThVMAAAMCOEsGnIVcJSA4wHAwAAM0IIm4YRlTCOjAQAADNACJsGKmEAAKBYCGHTEExRwZgwAAAwU5OGMDO7xMwIaxo5RQWVMAAAMBNTCVdvk7TDzD5vZieUukFzVSolJRLDU1QwJgwAAMzEpCHMOfd2SadKek7Sd8zsQTN7t5nVl7x1c0h/v78OuiOphAEAgJmYUjejc65X0q2Sbpa0TNKbJD1qZh8oYdvmlODk3cHAfMaEAQCAmZjKmLBLzew2Sb+VFJF0hnPuIkmnSLq6tM2bO/JDGJUwAAAwU+EpLPNmSV90zt2T/0vnXNzM3lmaZs09IyphQ1TCAADAzEwlhH1K0sHghplVS1rinHvBOffrUjVsrmFMGAAAKKapjAm7RVIm73Y6+7t5JaiEVddklEwnCWEAAGBGphLCws65weBG9ufK0jVpbgpCWLgqIUlMUQEAAGZkKiGsw8wuDW6Y2WWSDpWuSXPT6BBGJQwAAMzEVMaEvUfS983svySZpL2Srippq+agIIRVROOSxMB8AAAwI5OGMOfcc5JebmZ12duxkrdqDsqFsEofwqiEAQCAmZhKJUxm9npJJ0mqMjNJknPumhK2a86JxaRwWBoyf5gkY8IAAMBMTGWy1q/Jnz/yA/LdkW+VtLrE7Zpz+vv99BSJ9IAkKmEAAGBmpjIw/xXOuaskdTnnPi3pLEnHlbZZc08sJtXW+jnCJMaEAQCAmZlKCEtkr+NmtlzSkPz5I+eVWGx4tnyJShgAAJiZqYwJ+6mZNUn6f5IeleQkfaOkrZqDghCWq4QxJgwAAMzAhCHMzCok/do51y3pf8zsZ5KqnHM9s9K6OSRXCUtRCQMAADM3YXekcy4j6ct5t5PzMYBJY1TCGBMGAABmYCpjwn5tZm+2YG6KeYoxYQAAoJimEsL+Sv6E3Ukz6zWzPjPrLXG75pxgigrGhAEAgGKYyoz59bPRkLkumKJiIDWgSEVE4YopzXMLAAAwpkmThJn90Vi/d87dU/zmzE3ODXdH9g/FqYIBAIAZm0o558N5P1dJOkPSI5LOK0mL5qBkUkqnfQg7NDTAeDAAADBjU+mOvCT/tpkdI+lLJWvRHBScvLuuToqn4hwZCQAAZmwqA/NH2ydpQ7EbMpeNCGFDcSphAABgxqYyJuw/5WfJl3xoe6n8zPnzRhDCamv9FBWMCQMAADM1lTFhW/J+Tkm6yTl3f4naMycN+KnB/Am8O6iEAQCAmZtKCLtVUsI5l5YkMwuZWY1zLl7aps0diewpzKNRP0VFc1VzeRsEAACOelOaMV9Sfv9btaS7StOcuSkIYVVVjAkDAADFMZUQVuWciwU3sj/PqxSSH8IYEwYAAIphKiGs38w2BzfM7GWSBkrXpLnniEpYeF5lUAAAUAJTGRP2d5JuMbMDkkzSUklvK2mr5pgRlbAUlTAAADBzU5ms9WEzO0HS8dlfPeucGypts+YWxoQBAIBim7Q70szeJ6nWOfeEc+4JSXVm9telb9rckUz660hlWoPpQWbMBwAAMzaVMWHvcs51Bzecc12S3lW6Js09QSXMhf1QOCphAABgpqYSwkJmZsENMwtJqixdk+aeXAgLEcIAAEBxTGVg/h2SfmBmX8/e/itJvyhdk+aeREIKhaTB7Py0DMwHAAAzNZUQ9lFJ75b0nuztx+SPkJw3EonhIyMlKmEAAGDmJu2OdM5lJP1e0guSzpB0nqSnS9usuSWR8Kcsig9lK2EMzAcAADM0biXMzI6TdEX2ckjSDyTJOffq2Wna3JGrhA1RCQMAAMUxUXfkM5LulfQG59xOSTKzD85Kq+aYIITlKmGMCQMAADM0UXfkH0s6KOluM/uGmb1Gfsb8eYcxYQAAoNjGDWHOuR875y6XdIKku+VPX7TYzL5qZhfMVgPngiMqYYwJAwAAMzSVgfn9zrkbnXOXSFopaav8EZPzBmPCAABAsU1lstYc51yXc+4659xrStWguSiZZEwYAAAormmFsPmKMWEAAKDYCGFTwJgwAABQbISwKcgPYZWhSoUqQuVuEgAAOMoRwqYgmDF/YGiAKhgAACgKQtgU5FfCGA8GAACKgRA2BfkD8zkyEgAAFAMhbAqohAEAgGIjhE0ilfKXXCWMMWEAAKAICGGTSCb9NZUwAABQTISwSeSHsIEhxoQBAIDiIIRNIpHw11TCAABAMRHCJpEfwhgTBgAAioUQNgkqYQAAoBQIYZMYUQljxnwAAFAkhLBJBCEsGqUSBgAAiocQNokghEUqUxrKDHF0JAAAKApC2CSCEKawn6uCShgAACgGQtgkghBmER/CGBMGAACKgRA2iSCEZUJxSVTCAABAcRDCJhGEMBcakCTGhAEAgKIghE0iOG0RlTAAAFBMhLBJ0B0JAABKgRA2iSCEpSpikhiYDwAAioMQNolcCDMqYQAAoHgIYZNIJIKTd/sQxsB8AABQDISwSSQS/pRFAyl/dCSVMAAAUAwlDWFmdqGZPWtmO83sY2P8/Ytm9ofsZbuZdZeyPYUIKmHxoWwljDFhAACgCMKlumMzC0n6sqTXSton6WEz+4lz7qlgGefcB/OW/4CkU0vVnkKNDmFUwgAAQDGUshJ2hqSdzrldzrlBSTdLumyC5a+QdFMJ21OQ3JiwISZrBQAAxVPKELZC0t682/uyvzuCma2WtFbSb8b5+7vNbIuZbeno6Ch6QyeSXwmLhqKqMIbRAQCAmZsrieJySbc659Jj/dE5d51z7jTn3GktLS2z2rBkMjg6coAqGAAAKJpShrD9ko7Ju70y+7uxXK452BUpjayEMR4MAAAUSylD2MOSjjWztWZWKR+0fjJ6ITM7QVKzpAdL2JaCDc8TNsCRkQAAoGhKFsKccylJ75f0S0lPS/qhc+5JM7vGzC7NW/RySTc751yp2jITVMIAAEAplGyKCklyzv1c0s9H/e4To25/qpRtmKkghHUPMSYMAAAUz1wZmD9nBTPmUwkDAADFRAibBGPCAABAKRDCJsGYMAAAUAqEsEnkz5jPmDAAAFAshLAJODc8WWt8KK6aMJUwAABQHISwCSST/poZ8wEAQLERwiaQH8IYEwYAAIqJEDaBRMJfRyrTSmVSHB0JAACKhhA2gSCEVUQGJYlKGAAAKBpC2ARGhzDGhAEAgGIhhE0gCGEK+x+ohAEAgGIhhE1gOIT5EfqMCQMAAMVCCJtALoSF/A90RwIAgGIhhE1gdHdkVbiqfI0BAAAvKoSwCeRCWIQQBgAAiosQNoHRlbBoKFq+xgAAgBcVQtgEghDmQgOSqIQBAIDiIYRNIDhtURDComEqYQAAoDgIYRMIKmHpUL8kKmEAAKB4CGETyHVHhrOVMMaEAQCAIiGETSAIYSmjEgYAAIqLEDaBREKKRKQhlz06kjFhAACgSAhhE0gkpGhUSqSYogIAABQXIWwCiYRUVSUl00mFK8IKVYTK3SQAAPAiQQibQBDCEqkE48EAAEBREcImkKuEpZJ0RQIAgKIihE2AShgAACgVQtgEksnhMWGEMAAAUEyEsAnkV8KYngIAABQTIWwC+UdHUgkDAADFRAibwIhKGAPzAQBAERHCJsDAfAAAUCqEsAkEM+YnU0nGhAEAgKIihE2AShgAACgVQtgE8gfmMyYMAAAUEyFsAlTCAABAqRDCxuEcpy0CAAClQwgbRyolZTJUwgAAQGkQwsaRTPrr3Jgwjo4EAABFRAgbRyLhr6NRRyUMAAAUHSFsHEEIi0TTkkQIAwAARUUIG0cQwkKRIUliYD4AACgqQtg4hkPYoCQqYQAAoLgIYeMIQpjCPoQxMB8AABQTIWwcQQiroBIGAABKgBA2jiCEWcTPVcGYMAAAUEyEsHEMd0f6H6iEAQCAYiKEjSNXCQtnK2GMCQMAAEVECBtHEMJcaEASlTAAAFBchLBxBKctUsSnMcaEAQCAYiKEjSOohGVCcUlUwgAAQHERwsZBdyQAACglQtg4ghCWruiXxMB8AABQXISwcSQSUkWFlDKmqAAAAMVHCBtHIiFFo1IyzcB8AABQfISwcSQSUlWVlEhRCQMAAMVHCBtHEMKSKSZrBQAAxUcIG0d+JSxSEVGFsaoAAEDxkCzGkauEpZNUwQAAQNERwsaRTA5XwhgPBgAAio0QNo78MWEcGQkAAIqNEDaO3JiwNJUwAABQfISwcYyohDEmDAAAFBkhbBz5R0dSCQMAAMVGCBtH/tGRhDAAAFBshLBxBKctSqQSDMwHAABFRwgbR/6YMCphAACg2Ahh48gfE8bAfAAAUGyEsHEwMB8AAJQSIWwMmYw0NJR32iLGhAEAgCIjhI0hmfTXVMIAAECpEMLGkEj4a05bBAAASoUQNob8EEYlDAAAlAIhbAxBCItGnR8TxtGRAACgyAhhYwhCWLgyJUlUwgAAQNERwsYQhLCKyJAkMSYMAAAUHSFsDMMhbFASlTAAAFB8hLAx5EJYmBAGAABKgxA2hiCEWcRPGMbAfAAAUGyEsDGMDmFUwgAAQLERwsYQzJivsE9jDMwHAADFRggbQ1AJwrIm3wAAF0xJREFUc6EBSVTCAABA8RHCxhCEsFwljDFhAACgyAhhYwhCWCYUl0QlDAAAFB8hbAy57siw745kTBgAACg2QtgYghCWrqASBgAASoMQNoZEQqqslAbTzBMGAABKgxA2hkRCqqqSEilfEqMSBgAAio0QNoYghCXTTNYKAABKgxA2htGVMAbmAwCAYiOEjSFXCUsxJgwAAJRGSUOYmV1oZs+a2U4z+9g4y/wfM3vKzJ40sxtL2Z6pSiaHK2GRiogqjKwKAACKK1yqOzazkKQvS3qtpH2SHjaznzjnnspb5lhJ/yDpbOdcl5ktLlV7piO/O5LxYAAAoBRKWeI5Q9JO59wu59ygpJslXTZqmXdJ+rJzrkuSnHPtJWzPlOUPzKcrEgAAlEIpQ9gKSXvzbu/L/i7fcZKOM7P7zewhM7twrDsy+//bu/sgqep7z+PvL8PD8FSAICgMWTCXEjTBQaZYV9RSN1ZhNLo+EKDcrFLXqARETHJz0UqueGOqEstKXDfGCuZKXDVXEa8oFpoV7xhMXF2H8CCIVywkZhBxAoqg9MDgb//onnFouxWUQw/wflVNTZ/Tp0//pk8d/Pg93/6duCoiGiKioampKaPhfsxKmCRJylqlm506AyOAM4EpwN0R0bd4o5TS3JRSXUqp7uijj858UHtVwvxmpCRJykCWIWwjMLTdck1hXXuNwOMppd0ppTeA18iHsoqyEiZJkrKWZQh7CRgREcMjoiswGXi8aJuF5KtgRMQA8pcn12c4pn2Sy0G3bvkpKuwJkyRJWcgshKWUWoAZwO+BtcD8lNKaiPjniLigsNnvgS0R8QpQD/xDSmlLVmPaV1bCJElS1jKbogIgpbQYWFy07p/aPU7Adws/HYY9YZIkKWuVbszvkKyESZKkrBnCiqS0922LDGGSJCkLhrAiu3fnf7dWwmzMlyRJWTCEFcnl8r9be8KshEmSpCwYwoq0D2G5lpyN+ZIkKROGsCLFIcxKmCRJyoIhrMhelyNbnKJCkiRlwxBWpDWEde2a7AmTJEmZMYQVaQ1hnbu2APjtSEmSlAlDWJHWENapSzOAlTBJkpQJQ1iRj0NYfsIwe8IkSVIWDGFFWkNYdMk/sBImSZKyYAgrcswx8M1vQs8+hjBJkpQdQ1iRcePgoYeg/7E7ABvzJUlSNgxhZTTvsTFfkiRlxxBWRq4lfznSxnxJkpQFQ1gZzS1WwiRJUnYMYWW0VcLsCZMkSRkwhJXRGsKshEmSpCwYwspobcy3J0ySJGXBEFaGlTBJkpQlQ1gZrY359oRJkqQsGMLKsBImSZKyZAgrw54wSZKUJUNYGU5RIUmSsmQIK6O5pZmuVV3pFH5EkiTpwDNhlJFryXkpUpIkZcYQVkbznmab8iVJUmYMYWXkWnL2g0mSpMwYwsrIteSshEmSpMwYwspo3tNsT5gkScqMIawMK2GSJClLhrAymlua7QmTJEmZMYSVYSVMkiRlyRBWhj1hkiQpS4awMqyESZKkLBnCyrAnTJIkZckQVoaVMEmSlCVDWBnNe5qprjKESZKkbBjCyvC2RZIkKUuGsDKaW7yBtyRJyo4hrISUklNUSJKkTBnCSmje0wxgJUySJGXGEFZCc0s+hNkTJkmSsmIIKyHXkgOshEmSpOwYwkpovRxpT5gkScqKIawEK2GSJClrhrAS7AmTJElZM4SVYCVMkiRlzRBWglNUSJKkrBnCSmithNmYL0mSsmIIK6G1J8xKmCRJyoohrIS2SpiN+ZIkKSOGsBLsCZMkSVkzhJVgT5gkScqaIawEp6iQJElZM4SV4GStkiQpa4awEqyESZKkrBnCSmhtzO9a1bXCI5EkSYcrQ1gJuZYcXau60in8eCRJUjZMGSU0tzT7zUhJkpQpQ1gJuZac/WCSJClThrASmvc0G8IkSVKmDGEl5FpyTk8hSZIyZQgrwUqYJEnKmiGshFxLzsZ8SZKUKUNYCTbmS5KkrBnCSmhuabYnTJIkZcoQVoKVMEmSlDVDWAnNe5ysVZIkZcsQVoKVMEmSlDVDWAn2hEmSpKwZwkrIteSorrISJkmSstO50gPoiJr3WAmTJHUcu3fvprGxkVwuV+mhqIzq6mpqamro0qXLPr/GEFaCPWGSpI6ksbGR3r17M2zYMCKi0sNRkZQSW7ZsobGxkeHDh+/z67wcWSSlxK49uwxhkqQOI5fL0b9/fwNYBxUR9O/ff78rlYawIs17mgGcokKS1KEYwDq2z3N8DGFFmlvyIcxKmCRJypIhrEiuJV9KtDFfkqS8LVu2UFtbS21tLccccwxDhgxpW961a9envrahoYGZM2d+5nuceuqpB2q4hwwb84u0hjArYZIk5fXv358VK1YAMGfOHHr16sX3v//9tudbWlro3Ll0pKirq6Ouru4z3+P5558/MIM9hBjCitgTJknqyGY9NYsVb684oPusPaaW2yfcvl+vueKKK6iurmb58uWMHz+eyZMnc91115HL5ejevTvz5s3j+OOP59lnn+W2227jiSeeYM6cObz55pusX7+eN998k1mzZrVVyXr16sWOHTt49tlnmTNnDgMGDGD16tWMHTuW+++/n4hg8eLFfPe736Vnz56MHz+e9evX88QTT+w1rg0bNvCtb32LDz74AIBf/vKXbVW2n/3sZ9x///106tSJc889l5/+9Ke8/vrrXHPNNTQ1NVFVVcXDDz/Ml7/85QPwqX42Q1gRK2GSJO2bxsZGnn/+eaqqqnj//fd57rnn6Ny5M0uWLOHGG2/kkUce+cRrXn31Verr69m+fTvHH38806ZN+8TcWsuXL2fNmjUMHjyY8ePH86c//Ym6ujquvvpqli5dyvDhw5kyZUrJMQ0cOJCnn36a6upq1q1bx5QpU2hoaODJJ5/kscce48UXX6RHjx5s3boVgMsuu4zZs2dz0UUXkcvl+Oijjw78B1WGIaxIa2O+PWGSpI5ofytWWZo4cSJVVVUAbNu2jcsvv5x169YREezevbvka8477zy6detGt27dGDhwIJs3b6ampmavbcaNG9e2rra2lg0bNtCrVy+OO+64tnm4pkyZwty5cz+x/927dzNjxgxWrFhBVVUVr732GgBLlixh6tSp9OjRA4CjjjqK7du3s3HjRi666CIgP+HqwWRjfhErYZIk7ZuePXu2Pf7Rj37EWWedxerVq1m0aFHZObO6dfu4yFFVVUVLS8vn2qacX/ziFwwaNIiVK1fS0NDwmV8cqCRDWBF7wiRJ2n/btm1jyJAhAPz2t7894Ps//vjjWb9+PRs2bADgoYceKjuOY489lk6dOnHfffexZ88eAM455xzmzZvHhx9+CMDWrVvp3bs3NTU1LFy4EIDm5ua25w8GQ1gRK2GSJO2/H/zgB9xwww2MGTNmvypX+6p79+786le/YsKECYwdO5bevXvTp0+fT2z3ne98h3vvvZeTTjqJV199ta1aN2HCBC644ALq6uqora3ltttuA+C+++7jjjvuYPTo0Zx66qm8/fbbB3zs5URK6aC92YFQV1eXGhoaMtv/kvVLmLF4BgsnL2TkgJGZvY8kSftq7dq1jBo1qtLDqLgdO3bQq1cvUkpMnz6dESNGcP3111d6WG1KHaeIWJZSKjlHh5WwIl877mu8OuNVA5gkSR3M3XffTW1tLSeeeCLbtm3j6quvrvSQvhC/HSlJkg4J119/fYeqfH1RVsIkSZIqwBAmSZJUAYYwSZKkCsg0hEXEhIj4j4h4PSJml3j+iohoiogVhZ8rsxyPJElSR5FZCIuIKuBO4FzgBGBKRJxQYtOHUkq1hZ/fZDUeSZJ08PTq1QuAt956i0svvbTkNmeeeSafNe3U7bffvtcEql//+td57733DtxAKyjLStg44PWU0vqU0i7gQeDCDN9PkiR1MIMHD2bBggWf+/XFIWzx4sX07dv3QAyt4rKcomII8Nd2y43Afy6x3SURcQbwGnB9SumvxRtExFXAVQBf+tKXMhiqJEmHhlmzYMWKA7vP2lq4/VPuCz579myGDh3K9OnTAZgzZw69evXimmuu4cILL+Tdd99l9+7d3HLLLVx44d71lg0bNnD++eezevVqdu7cydSpU1m5ciUjR45k586dbdtNmzaNl156iZ07d3LppZdy8803c8cdd/DWW29x1llnMWDAAOrr6xk2bBgNDQ0MGDCAn//859xzzz0AXHnllcyaNYsNGzZw7rnnctppp/H8888zZMgQHnvsMbp3777XuBYtWsQtt9zCrl276N+/Pw888ACDBg1ix44dXHvttTQ0NBAR3HTTTVxyySU89dRT3HjjjezZs4cBAwbwzDPPfOHPvdKN+YuAYSml0cDTwL2lNkopzU0p1aWU6o4++uiDOkBJko50kyZNYv78+W3L8+fPZ9KkSVRXV/Poo4/y5z//mfr6er73ve/xaXfiueuuu+jRowdr167l5ptvZtmyZW3P/eQnP6GhoYFVq1bxhz/8gVWrVjFz5kwGDx5MfX099fX1e+1r2bJlzJs3jxdffJEXXniBu+++m+XLlwOwbt06pk+fzpo1a+jbty+PPPLIJ8Zy2mmn8cILL7B8+XImT57MrbfeCsCPf/xj+vTpw8svv8yqVas4++yzaWpq4tvf/jaPPPIIK1eu5OGHH/5Cn2erLCthG4Gh7ZZrCuvapJS2tFv8DXBrhuORJOmQ92kVq6yMGTOGd955h7feeoumpib69evH0KFD2b17NzfeeCNLly6lU6dObNy4kc2bN3PMMceU3M/SpUuZOXMmAKNHj2b06NFtz82fP5+5c+fS0tLCpk2beOWVV/Z6vtgf//hHLrroorZ7Q1588cU899xzXHDBBQwfPpza2loAxo4d23bT7/YaGxuZNGkSmzZtYteuXQwfPhyAJUuW8OCDD7Zt169fPxYtWsQZZ5zRts1RRx21H59eeVlWwl4CRkTE8IjoCkwGHm+/QUQc227xAmBthuORJEmf08SJE1mwYAEPPfQQkyZNAuCBBx6gqamJZcuWsWLFCgYNGkQul9vvfb/xxhvcdtttPPPMM6xatYrzzjvvc+2nVbdu3doeV1VVlbyh+LXXXsuMGTN4+eWX+fWvf/2F3u/zyiyEpZRagBnA78mHq/kppTUR8c8RcUFhs5kRsSYiVgIzgSuyGo8kSfr8Jk2axIMPPsiCBQuYOHEiANu2bWPgwIF06dKF+vp6/vKXv3zqPs444wx+97vfAbB69WpWrVoFwPvvv0/Pnj3p06cPmzdv5sknn2x7Te/evdm+ffsn9nX66aezcOFCPvzwQz744AMeffRRTj/99H3+e7Zt28aQIUMAuPfej7uhzjnnHO6888625XfffZdTTjmFpUuX8sYbbwCwdevWfX6fT5PpvSNTSouBxUXr/qnd4xuAG7IcgyRJ+uJOPPFEtm/fzpAhQzj22PyFrMsuu4xvfOMbfPWrX6Wuro6RI0d+6j6mTZvG1KlTGTVqFKNGjWLs2LEAnHTSSYwZM4aRI0cydOhQxo8f3/aaq666igkTJrT1hrU6+eSTueKKKxg3bhyQb8wfM2ZMyUuPpcyZM4eJEyfSr18/zj777LaA9cMf/pDp06fzla98haqqKm666SYuvvhi5s6dy8UXX8xHH33EwIEDefrpp/f5sysnPq2BriOqq6tLnzWniCRJh5O1a9cyatSoSg9Dn6HUcYqIZSmlulLbV/rbkZIkSUckQ5gkSVIFGMIkSToEHGrtQ0eaz3N8DGGSJHVw1dXVbNmyxSDWQaWU2LJlC9XV1fv1uky/HSlJkr64mpoaGhsbaWpqqvRQVEZ1dTU1NTX79RpDmCRJHVyXLl3aZmvX4cPLkZIkSRVgCJMkSaoAQ5gkSVIFHHIz5kdEE/DpN6f64gYAf8v4PfT5eGw6Jo9Lx+Wx6Zg8Lh3XgT42/ymldHSpJw65EHYwRERDuVsMqLI8Nh2Tx6Xj8th0TB6XjutgHhsvR0qSJFWAIUySJKkCDGGlza30AFSWx6Zj8rh0XB6bjsnj0nEdtGNjT5gkSVIFWAmTJEmqAEOYJElSBRjCikTEhIj4j4h4PSJmV3o8R6qIGBoR9RHxSkSsiYjrCuuPioinI2Jd4Xe/So/1SBURVRGxPCKeKCwPj4gXC+fOQxHRtdJjPNJERN+IWBARr0bE2oj4L54zHUNEXF/4t2x1RPxrRFR7zlRGRNwTEe9ExOp260qeJ5F3R+EYrYqIkw/kWAxh7UREFXAncC5wAjAlIk6o7KiOWC3A91JKJwCnANMLx2I28ExKaQTwTGFZlXEdsLbd8s+AX6SU/g54F/j7iozqyPY/gadSSiOBk8gfH8+ZCouIIcBMoC6l9BWgCpiM50yl/BaYULSu3HlyLjCi8HMVcNeBHIghbG/jgNdTSutTSruAB4ELKzymI1JKaVNK6c+Fx9vJ/8dkCPnjcW9hs3uB/1aZER7ZIqIGOA/4TWE5gLOBBYVNPDYHWUT0Ac4A/gUgpbQrpfQenjMdRWege0R0BnoAm/CcqYiU0lJga9HqcufJhcD/TnkvAH0j4tgDNRZD2N6GAH9tt9xYWKcKiohhwBjgRWBQSmlT4am3gUEVGtaR7nbgB8BHheX+wHsppZbCsufOwTccaALmFS4T/yYieuI5U3EppY3AbcCb5MPXNmAZnjMdSbnzJNNcYAhThxYRvYBHgFkppffbP5fy86s4x8pBFhHnA++klJZVeizaS2fgZOCulNIY4AOKLj16zlRGob/oQvJBeTDQk09eDlMHcTDPE0PY3jYCQ9st1xTWqQIiogv5APZASunfCqs3t5aCC7/fqdT4jmDjgQsiYgP5S/Znk+9F6lu41AKeO5XQCDSmlF4sLC8gH8o8Zyrva8AbKaWmlNJu4N/In0eeMx1HufMk01xgCNvbS8CIwjdWupJvnHy8wmM6IhV6jP4FWJtS+nm7px4HLi88vhx47GCP7UiXUrohpVSTUhpG/hz595TSZUA9cGlhM4/NQZZSehv4a0QcX1j1X4FX8JzpCN4ETomIHoV/21qPjedMx1HuPHkc+B+Fb0meAmxrd9nyC3PG/CIR8XXy/S5VwD0ppZ9UeEhHpIg4DXgOeJmP+45uJN8XNh/4EvAX4JsppeIGSx0kEXEm8P2U0vkRcRz5ythRwHLgv6eUmis5viNNRNSS/7JEV2A9MJX8/2x7zlRYRNwMTCL/ze/lwJXke4s8Zw6yiPhX4ExgALAZuAlYSInzpBCaf0n+8vGHwNSUUsMBG4shTJIk6eDzcqQkSVIFGMIkSZIqwBAmSZJUAYYwSZKkCjCESZIkVYAhTNIhLyL2RMSKdj8H7CbVETEsIlYfqP1JUqvOn72JJHV4O1NKtZUehCTtDythkg5bEbEhIm6NiJcj4v9FxN8V1g+LiH+PiFUR8UxEfKmwflBEPBoRKws/pxZ2VRURd0fEmoj4PxHRvbD9zIh4pbCfByv0Z0o6RBnCJB0OuhddjpzU7rltKaWvkp/1+vbCuv8F3JtSGg08ANxRWH8H8IeU0knk77u4prB+BHBnSulE4D3gksL62cCYwn6uyeqPk3R4csZ8SYe8iNiRUupVYv0G4OyU0vrCDeHfTin1j4i/AcemlHYX1m9KKQ2IiCagpv2tYyJiGPB0SmlEYfkfgS4ppVsi4ilgB/lbnixMKe3I+E+VdBixEibpcJfKPN4f7e/nt4eP+2nPA+4kXzV7KSLss5W0zwxhkg53k9r9/r+Fx88DkwuPLyN/s3iAZ4BpABFRFRF9yu00IjoBQ1NK9cA/An2AT1TjJKkc/69N0uGge0SsaLf8VEqpdZqKfhGxinw1a0ph3bXAvIj4B6AJmFpYfx0wNyL+nnzFaxqwqcx7VgH3F4JaAHeklN47YH+RpMOePWGSDluFnrC6lNLfKj0WSSrm5UhJkqQKsBImSZJUAVbCJEmSKsAQJkmSVAGGMEmSpAowhEmSJFWAIUySJKkC/j8Hb/VKLucdPwAAAABJRU5ErkJggg==\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_200171.ipynb b/Assignment 3/A3_200171.ipynb deleted file mode 100644 index 240d20d..0000000 --- a/Assignment 3/A3_200171.ipynb +++ /dev/null @@ -1,492 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Assignment-3.ipynb", - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "e5702edb-8891-452a-8951-973b02682fa5" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n", - "11493376/11490434 [==============================] - 0s 0us/step\n", - "11501568/11490434 [==============================] - 0s 0us/step\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 7, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing \n", - "print(X_train.shape, Y_train.shape, X_test.shape, Y_test.shape)\n", - "print(x_train.shape, y_train.shape, x_test.shape, y_test.shape)" - ], - "metadata": { - "id": "rbt0WbW6sDVs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "db1f5057-655c-4530-e7e7-8f83b1904ba4" - }, - "execution_count": 8, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(8000, 28, 28) (8000,) (2000, 28, 28) (2000,)\n", - "(60000, 28, 28) (60000,) (10000, 28, 28) (10000,)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.figure(figsize=(16,16))\n", - "for i in range (16):\n", - " plt.subplot(5,4,i+1)\n", - " plt.xticks([])\n", - " plt.yticks([])\n", - " plt.grid(False)\n", - " plt.imshow(X_train[i])\n", - " plt.title(Y_train[i])\n", - "\n", - "\n", - "# Your code" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 740 - }, - "outputId": "501b67e9-4d0a-4e0e-ba35-68e0704108f7" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "x, y = np.unique(Y_train, return_counts=True)\n", - "plt.bar(x,y,label='training data')\n", - "plt.legend()\n", - "plt.show()\n", - "x, y = np.unique(Y_test, return_counts=True)\n", - "plt.bar(x,y,label='testing data', color='red')\n", - "plt.legend()\n", - "plt.show()\n", - "# Your code" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 513 - }, - "outputId": "22bb02b2-9b5b-405b-f9e6-f1bcd45b46da" - }, - "execution_count": 10, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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- }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "\n", - "import keras\n", - "from keras.models import Sequential\n", - "from keras import layers\n", - "\n", - "model=keras.models.Sequential()\n", - "model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28,28,1)))\n", - "model.add(layers.Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(layers.MaxPooling2D((2, 2)))\n", - "model.add(layers.Dropout(0.25))\n", - "model.add(layers.Flatten())\n", - "model.add(layers.Dense(128, activation='relu'))\n", - "model.add(layers.Dropout(0.5))\n", - "model.add(layers.Dense(10, activation='softmax'))\n", - "model.summary()\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n" - ], - "metadata": { - "id": "1L07EyQ0Yion", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "5e8e9c6f-2f0d-40eb-bc94-6f5eae25b69d" - }, - "execution_count": 11, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d_2 (Conv2D) (None, 26, 26, 32) 320 \n", - " \n", - " conv2d_3 (Conv2D) (None, 24, 24, 64) 18496 \n", - " \n", - " max_pooling2d_1 (MaxPooling (None, 12, 12, 64) 0 \n", - " 2D) \n", - " \n", - " dropout_2 (Dropout) (None, 12, 12, 64) 0 \n", - " \n", - " flatten_1 (Flatten) (None, 9216) 0 \n", - " \n", - " dense_2 (Dense) (None, 128) 1179776 \n", - " \n", - " dropout_3 (Dropout) (None, 128) 0 \n", - " \n", - " dense_3 (Dense) (None, 10) 1290 \n", - " \n", - "=================================================================\n", - "Total params: 1,199,882\n", - "Trainable params: 1,199,882\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "\n", - "model.compile(optimizer='adam', loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),metrics=['accuracy'])\n", - "\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "\n", - "history = model.fit(X_train, Y_train, epochs=45, validation_split=0.2)" - ], - "metadata": { - "id": "nKEZ8cbO9JVV", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "c49f8885-d5c8-4dba-9901-6f5017a75990" - }, - "execution_count": 12, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/45\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "200/200 [==============================] - 12s 5ms/step - loss: 1.5824 - accuracy: 0.7589 - val_loss: 0.1389 - val_accuracy: 0.9563\n", - "Epoch 2/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.2867 - accuracy: 0.9131 - val_loss: 0.0871 - val_accuracy: 0.9737\n", - "Epoch 3/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1879 - accuracy: 0.9402 - val_loss: 0.0739 - val_accuracy: 0.9762\n", - "Epoch 4/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1549 - accuracy: 0.9516 - val_loss: 0.0781 - val_accuracy: 0.9756\n", - "Epoch 5/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1305 - accuracy: 0.9602 - val_loss: 0.0604 - val_accuracy: 0.9850\n", - "Epoch 6/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1103 - accuracy: 0.9638 - val_loss: 0.0562 - val_accuracy: 0.9844\n", - "Epoch 7/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0983 - accuracy: 0.9691 - val_loss: 0.0658 - val_accuracy: 0.9812\n", - "Epoch 8/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0887 - accuracy: 0.9736 - val_loss: 0.0608 - val_accuracy: 0.9825\n", - "Epoch 9/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0779 - accuracy: 0.9739 - val_loss: 0.0834 - val_accuracy: 0.9781\n", - "Epoch 10/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0841 - accuracy: 0.9758 - val_loss: 0.0675 - val_accuracy: 0.9775\n", - "Epoch 11/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0625 - accuracy: 0.9780 - val_loss: 0.0664 - val_accuracy: 0.9831\n", - "Epoch 12/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0518 - accuracy: 0.9819 - val_loss: 0.0837 - val_accuracy: 0.9812\n", - "Epoch 13/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0614 - accuracy: 0.9819 - val_loss: 0.0644 - val_accuracy: 0.9844\n", - "Epoch 14/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0554 - accuracy: 0.9819 - val_loss: 0.0775 - val_accuracy: 0.9812\n", - "Epoch 15/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0579 - accuracy: 0.9798 - val_loss: 0.0921 - val_accuracy: 0.9794\n", - "Epoch 16/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0704 - accuracy: 0.9781 - val_loss: 0.0805 - val_accuracy: 0.9769\n", - "Epoch 17/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0545 - accuracy: 0.9834 - val_loss: 0.0523 - val_accuracy: 0.9862\n", - "Epoch 18/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0671 - accuracy: 0.9817 - val_loss: 0.0761 - val_accuracy: 0.9819\n", - "Epoch 19/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0566 - accuracy: 0.9820 - val_loss: 0.0725 - val_accuracy: 0.9831\n", - "Epoch 20/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0536 - accuracy: 0.9836 - val_loss: 0.0846 - val_accuracy: 0.9806\n", - "Epoch 21/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0419 - accuracy: 0.9861 - val_loss: 0.0807 - val_accuracy: 0.9819\n", - "Epoch 22/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0479 - accuracy: 0.9833 - val_loss: 0.0825 - val_accuracy: 0.9806\n", - "Epoch 23/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0503 - accuracy: 0.9855 - val_loss: 0.0717 - val_accuracy: 0.9844\n", - "Epoch 24/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0425 - accuracy: 0.9870 - val_loss: 0.0787 - val_accuracy: 0.9819\n", - "Epoch 25/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0415 - accuracy: 0.9858 - val_loss: 0.0776 - val_accuracy: 0.9837\n", - "Epoch 26/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0369 - accuracy: 0.9892 - val_loss: 0.0714 - val_accuracy: 0.9825\n", - "Epoch 27/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0355 - accuracy: 0.9880 - val_loss: 0.0832 - val_accuracy: 0.9844\n", - "Epoch 28/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0545 - accuracy: 0.9853 - val_loss: 0.1024 - val_accuracy: 0.9800\n", - "Epoch 29/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0569 - accuracy: 0.9837 - val_loss: 0.0945 - val_accuracy: 0.9856\n", - "Epoch 30/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0558 - accuracy: 0.9831 - val_loss: 0.0912 - val_accuracy: 0.9869\n", - "Epoch 31/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0490 - accuracy: 0.9861 - val_loss: 0.0953 - val_accuracy: 0.9806\n", - "Epoch 32/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0309 - accuracy: 0.9909 - val_loss: 0.0851 - val_accuracy: 0.9862\n", - "Epoch 33/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0311 - accuracy: 0.9914 - val_loss: 0.0767 - val_accuracy: 0.9837\n", - "Epoch 34/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0517 - accuracy: 0.9842 - val_loss: 0.0812 - val_accuracy: 0.9844\n", - "Epoch 35/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0447 - accuracy: 0.9869 - val_loss: 0.0645 - val_accuracy: 0.9887\n", - "Epoch 36/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0415 - accuracy: 0.9873 - val_loss: 0.0875 - val_accuracy: 0.9812\n", - "Epoch 37/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0211 - accuracy: 0.9923 - val_loss: 0.0771 - val_accuracy: 0.9869\n", - "Epoch 38/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0390 - accuracy: 0.9870 - val_loss: 0.0878 - val_accuracy: 0.9812\n", - "Epoch 39/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0426 - accuracy: 0.9887 - val_loss: 0.1170 - val_accuracy: 0.9775\n", - "Epoch 40/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0316 - accuracy: 0.9898 - val_loss: 0.0849 - val_accuracy: 0.9850\n", - "Epoch 41/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0321 - accuracy: 0.9914 - val_loss: 0.1172 - val_accuracy: 0.9812\n", - "Epoch 42/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0503 - accuracy: 0.9856 - val_loss: 0.1074 - val_accuracy: 0.9831\n", - "Epoch 43/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0305 - accuracy: 0.9925 - val_loss: 0.0868 - val_accuracy: 0.9862\n", - "Epoch 44/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0256 - accuracy: 0.9919 - val_loss: 0.0781 - val_accuracy: 0.9875\n", - "Epoch 45/45\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0241 - accuracy: 0.9928 - val_loss: 0.0824 - val_accuracy: 0.9869\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code\n", - "\n", - "pred=np.argmax(model.predict(X_test),axis=1)\n", - "plt.figure(figsize=(16,16))\n", - "for i in range(16):\n", - " plt.subplot(5,4,i+1)\n", - " plt.grid(False)\n", - " plt.xticks([])\n", - " plt.yticks([])\n", - " plt.imshow(X_test[i])\n", - " plt.xlabel(\"Prediction:{}, Actual:{}\".format(pred[i],Y_test[i]))" - ], - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 735 - }, - "outputId": "4bf03180-0abc-4307-9686-a5e8a1032340" - }, - "execution_count": 19, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_200244.ipynb b/Assignment 3/A3_200244.ipynb deleted file mode 100644 index b350734..0000000 --- a/Assignment 3/A3_200244.ipynb +++ /dev/null @@ -1,451 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "VGHh_5UYzKpV" - }, - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "JnsMbCPNzPAr" - }, - "source": [ - "## Importing TensorFlow" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "6Ji7HGpgzSPi" - }, - "source": [ - "## Get the dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "outputs": [], - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "outputs": [], - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_val,X_test,Y_val,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "id": "rbt0WbW6sDVs" - }, - "outputs": [], - "source": [ - "# Pre processing \n", - "import numpy as np\n", - "\n", - "def process(dataset):\n", - " return np.expand_dims((dataset.astype('float32')/255.),axis=3)\n", - "\n", - "x_train_norm = process(x_train)\n", - "X_val_norm = process(X_val)\n", - "X_test_norm = process(X_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "EVpQheoVqoEG" - }, - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "id": "yF1Nj63Bz9m7" - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code\n", - "\n", - "fig, axis = plt.subplots(1,15,figsize=(25,5))\n", - "\n", - "\n", - "for i in range(0,15):\n", - " axis[i].imshow(X_test[i], cmap='Greys')\n", - " \n", - "for i, ax in enumerate(axis.flat):\n", - " ax.set(xlabel= Y_test[i])" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Rx8muKSIrKhe" - }, - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "id": "37kehTG_6Pi4" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "\n", - "# Your code\n", - "digits = np.arange(10)\n", - "\n", - "plt.figure(figsize=(10,6))\n", - "\n", - "n_digits_train = np.zeros(10)\n", - "for i in y_train:\n", - " n_digits_train[i]+=1\n", - "\n", - "plt.bar(digits,n_digits_train) \n", - "\n", - "n_digits_test = np.zeros(10)\n", - "for i in y_test:\n", - " n_digits_test[i]+=1\n", - "\n", - "plt.bar(digits,n_digits_test) \n", - "\n", - "plt.legend([\"Training dataset\", \"Testing dataset\"])\n", - "# plt.grid(True)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "kWlpCWdAr8d3" - }, - "source": [ - "## Model" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "id": "1L07EyQ0Yion" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d_1 (Conv2D) (None, 26, 26, 32) 320 \n", - " \n", - " activation_1 (Activation) (None, 26, 26, 32) 0 \n", - " \n", - " max_pooling2d_1 (MaxPooling (None, 13, 13, 32) 0 \n", - " 2D) \n", - " \n", - " flatten_1 (Flatten) (None, 5408) 0 \n", - " \n", - " dense_1 (Dense) (None, 10) 54090 \n", - " \n", - "=================================================================\n", - "Total params: 54,410\n", - "Trainable params: 54,410\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "# model building\n", - "\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n", - "\n", - "model = tf.keras.models.Sequential([\n", - " tf.keras.layers.Conv2D(32,(3,3), input_shape=(28,28,1)),\n", - " tf.keras.layers.Activation('relu'),\n", - " tf.keras.layers.MaxPool2D(pool_size=(2,2)),\n", - " tf.keras.layers.Flatten(),\n", - " tf.keras.layers.Dense(10, activation='softmax')\n", - "])\n", - "\n", - "model.summary()" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "id": "nKEZ8cbO9JVV" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/10\n", - "1875/1875 [==============================] - 17s 9ms/step - loss: 0.2147 - sparse_categorical_accuracy: 0.9394 - val_loss: 0.1015 - val_sparse_categorical_accuracy: 0.9691\n", - "Epoch 2/10\n", - "1875/1875 [==============================] - 17s 9ms/step - loss: 0.0814 - sparse_categorical_accuracy: 0.9760 - val_loss: 0.0693 - val_sparse_categorical_accuracy: 0.9778\n", - "Epoch 3/10\n", - "1875/1875 [==============================] - 16s 8ms/step - loss: 0.0615 - sparse_categorical_accuracy: 0.9815 - val_loss: 0.0630 - val_sparse_categorical_accuracy: 0.9794\n", - "Epoch 4/10\n", - "1875/1875 [==============================] - 18s 10ms/step - loss: 0.0505 - sparse_categorical_accuracy: 0.9845 - val_loss: 0.0653 - val_sparse_categorical_accuracy: 0.9776\n", - "Epoch 5/10\n", - "1875/1875 [==============================] - 18s 10ms/step - loss: 0.0429 - sparse_categorical_accuracy: 0.9870 - val_loss: 0.0537 - val_sparse_categorical_accuracy: 0.9824\n", - "Epoch 6/10\n", - "1875/1875 [==============================] - 18s 9ms/step - loss: 0.0373 - sparse_categorical_accuracy: 0.9888 - val_loss: 0.0512 - val_sparse_categorical_accuracy: 0.9822\n", - "Epoch 7/10\n", - "1875/1875 [==============================] - 17s 9ms/step - loss: 0.0307 - sparse_categorical_accuracy: 0.9909 - val_loss: 0.0559 - val_sparse_categorical_accuracy: 0.9822\n", - "Epoch 8/10\n", - "1875/1875 [==============================] - 18s 9ms/step - loss: 0.0268 - sparse_categorical_accuracy: 0.9918 - val_loss: 0.0562 - val_sparse_categorical_accuracy: 0.9830\n", - "Epoch 9/10\n", - "1875/1875 [==============================] - 17s 9ms/step - loss: 0.0227 - sparse_categorical_accuracy: 0.9930 - val_loss: 0.0527 - val_sparse_categorical_accuracy: 0.9839\n", - "Epoch 10/10\n", - "1875/1875 [==============================] - 18s 10ms/step - loss: 0.0198 - sparse_categorical_accuracy: 0.9942 - val_loss: 0.0697 - val_sparse_categorical_accuracy: 0.9801\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.compile(\n", - " optimizer=tf.keras.optimizers.Adam(0.001),\n", - " loss=tf.keras.losses.SparseCategoricalCrossentropy(),\n", - " metrics=[tf.keras.metrics.SparseCategoricalAccuracy()],\n", - ")\n", - "\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "\n", - "model.fit(\n", - " x_train_norm,\n", - " y_train,\n", - " epochs=10,\n", - " validation_data=(X_val_norm,Y_val),\n", - ")\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "ml1Kna_DuJrL" - }, - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "id": "qioZul7_uiYq" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "63/63 [==============================] - 0s 4ms/step\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Your code\n", - "p = model.predict(X_test_norm)\n", - "pred = np.argmax(p,axis=1)\n", - "\n", - "fig, axis = plt.subplots(1,15,figsize=(25,5))\n", - "\n", - "\n", - "for i in range(0,15):\n", - " axis[i].imshow(X_test[i], cmap='Greys')\n", - " \n", - "for i, ax in enumerate(axis.flat):\n", - " ax.set(xlabel= \"Pred: {}\".format(pred[i]))" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "R2 score: 96.80%\n" - ] - } - ], - "source": [ - "from sklearn.metrics import r2_score\n", - "\n", - "accu = r2_score(Y_test,pred)\n", - "print(\"R2 score: {:.2f}%\".format(accu*100))" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "63/63 [==============================] - 0s 4ms/step - loss: 0.0474 - sparse_categorical_accuracy: 0.9865\n", - "Loss: 0.047, Accuracy: 98.65%\n" - ] - } - ], - "source": [ - "loss, acc = model.evaluate(X_test_norm,Y_test)\n", - "print(\"Loss: {:.3f}, Accuracy: {:.2f}%\".format(loss,acc*100))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "name": "CV_with_TF-Assignment-3.ipynb", - "provenance": [] - }, - "gpuClass": "standard", - "interpreter": { - "hash": "26de051ba29f2982a8de78e945f0abaf191376122a1563185a90213a26c5da77" - }, - "kernelspec": { - "display_name": "Python 3.10.0 64-bit", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.0" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/Assignment 3/A3_200526 .ipynb b/Assignment 3/A3_200526 .ipynb deleted file mode 100644 index c95608f..0000000 --- a/Assignment 3/A3_200526 .ipynb +++ /dev/null @@ -1,677 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A3_200526.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "gpuClass": "standard", - "accelerator": "GPU" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow and other libraries" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "from numpy import mean\n", - "from numpy import std\n", - "from matplotlib import pyplot as plt\n", - "from sklearn.model_selection import KFold\n", - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.utils import to_categorical\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Conv2D\n", - "from tensorflow.keras.layers import MaxPooling2D\n", - "from tensorflow.keras.layers import Dense\n", - "from tensorflow.keras.layers import Flatten\n", - "from tensorflow.keras.layers import BatchNormalization\n", - "from tensorflow.keras.optimizers import SGD" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Importing the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "8a2986ea-a144-45dd-a12f-a9e7d8146cc8" - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n", - "11493376/11490434 [==============================] - 0s 0us/step\n", - "11501568/11490434 [==============================] - 0s 0us/step\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Printing the shape" - ], - "metadata": { - "id": "E7CXFUR_Comf" - } - }, - { - "cell_type": "code", - "source": [ - "print(x_test.shape)\n", - "print(x_train.shape)\n", - "print(y_test.shape)\n", - "print(y_train.shape)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "EcjBt8UXQQ0K", - "outputId": "7cc06cc9-b9be-4777-ef65-25354539bc68" - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(10000, 28, 28)\n", - "(60000, 28, 28)\n", - "(10000,)\n", - "(60000,)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "##Splitting the dataset " - ], - "metadata": { - "id": "h-W4obzlCx-3" - } - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)\n" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "##Printing the shape" - ], - "metadata": { - "id": "j97BCxe5DBbw" - } - }, - { - "cell_type": "code", - "source": [ - "print(X_test.shape)\n", - "print(X_train.shape)\n", - "print(Y_test.shape)\n", - "print(Y_train.shape)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "SczEFU9gQyEi", - "outputId": "e503ed05-7ded-495a-e84e-d3830d426356" - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(2000, 28, 28)\n", - "(8000, 28, 28)\n", - "(2000,)\n", - "(8000,)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "##Resizing the images, normalizing the pixel values and One-Hot Encoding of the target variables" - ], - "metadata": { - "id": "nGZRJnYeQxGR" - } - }, - { - "cell_type": "code", - "source": [ - "# Reshaping \n", - "img_rows,img_cols=28,28\n", - "X_train=X_train.reshape(X_train.shape[0],img_rows,img_cols,1)\n", - "X_test=X_test.reshape(X_test.shape[0],img_rows,img_cols,1)\n", - "\n", - "print(X_test.shape)\n", - "print(X_train.shape)\n", - "\n", - "# Normalizing\n", - "X_train= X_train.astype('float32')\n", - "X_test= X_test.astype('float32')\n", - "X_train= X_train/255.0\n", - "X_test= X_test/255.0\n", - "\n", - "print(Y_train.shape)\n", - "print(Y_test.shape)\n", - "\n", - "# One-Hot Encoding\n", - "Y_train= to_categorical(Y_train)\n", - "Y_test= to_categorical(Y_test)\n", - "\n", - "print(Y_train.shape)\n", - "print(Y_test.shape)" - ], - "metadata": { - "id": "rbt0WbW6sDVs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "fc353dc4-5f0b-46b2-d5e5-9c701a06e1b1" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(2000, 28, 28, 1)\n", - "(8000, 28, 28, 1)\n", - "(8000,)\n", - "(2000,)\n", - "(8000, 10)\n", - "(2000, 10)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualizing the dataset\n", - "Printing the images with their labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "X_train__ = X_train.reshape(X_train.shape[0], 28, 28)\n", - "\n", - "# 4 rows and 4 columns \n", - "fig, axis = plt.subplots(4, 4, figsize=(10, 10))\n", - "for i, ax in enumerate(axis.flat):\n", - " # Plotting raw pixel data\n", - " ax.imshow(X_train__[i], cmap='binary')\n", - " # Labels\n", - " digit = Y_train[i].argmax()\n", - " ax.set(title = f\"Real Number is {digit}\");\n", - "# adjusting the spacing\n", - "plt.subplots_adjust(wspace=0.2, hspace=0.5) " - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 607 - }, - "outputId": "80e7b6db-5cfc-420a-f2ee-872370650d42" - }, - "execution_count": 7, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "###Plotting statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "# For testing dataset\n", - "digits=['0','1','2','3','4','5','6','7','8','9']\n", - "n_samples=[]\n", - "zero=one=two=three=four=five=six=seven=eight=nine=0\n", - "for i in Y_test:\n", - " if i.argmax()==0:\n", - " zero+=1\n", - " elif i.argmax()==1:\n", - " one+=1\n", - " elif i.argmax()==2:\n", - " two+=1\n", - " elif i.argmax()==3:\n", - " three+=1\n", - " elif i.argmax()==4:\n", - " four+=1\n", - " elif i.argmax()==5:\n", - " five+=1\n", - " elif i.argmax()==6:\n", - " six+=1\n", - " elif i.argmax()==7:\n", - " seven+=1\n", - " elif i.argmax()==8:\n", - " eight+=1\n", - " elif i.argmax()==9:\n", - " nine+=1\n", - " \n", - "n_samples.append(zero)\n", - "n_samples.append(one)\n", - "n_samples.append(two)\n", - "n_samples.append(three)\n", - "n_samples.append(four)\n", - "n_samples.append(five)\n", - "n_samples.append(six)\n", - "n_samples.append(seven)\n", - "n_samples.append(eight)\n", - "n_samples.append(nine)\n", - "\n", - "print(n_samples)\n", - "print(digits)\n", - "plt.bar(digits,n_samples)\n", - "plt.ylabel(\"Number of samples\")\n", - "plt.xlabel(\"Digits\")" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 331 - }, - "outputId": "56f430ea-0430-4b9e-d2cf-4777f2ad5700" - }, - "execution_count": 8, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[203, 208, 211, 213, 188, 201, 169, 201, 198, 208]\n", - "['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "Text(0.5, 0, 'Digits')" - ] - }, - "metadata": {}, - "execution_count": 8 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "# For training data\n", - "n_samples=[]\n", - "zero=one=two=three=four=five=six=seven=eight=nine=0\n", - "for i in Y_train:\n", - " if i.argmax()==0:\n", - " zero+=1\n", - " elif i.argmax()==1:\n", - " one+=1\n", - " elif i.argmax()==2:\n", - " two+=1\n", - " elif i.argmax()==3:\n", - " three+=1\n", - " elif i.argmax()==4:\n", - " four+=1\n", - " elif i.argmax()==5:\n", - " five+=1\n", - " elif i.argmax()==6:\n", - " six+=1\n", - " elif i.argmax()==7:\n", - " seven+=1\n", - " elif i.argmax()==8:\n", - " eight+=1\n", - " elif i.argmax()==9:\n", - " nine+=1\n", - " \n", - "n_samples.append(zero)\n", - "n_samples.append(one)\n", - "n_samples.append(two)\n", - "n_samples.append(three)\n", - "n_samples.append(four)\n", - "n_samples.append(five)\n", - "n_samples.append(six)\n", - "n_samples.append(seven)\n", - "n_samples.append(eight)\n", - "n_samples.append(nine)\n", - "\n", - "print(n_samples)\n", - "print(digits)\n", - "plt.bar(digits,n_samples)\n", - "plt.ylabel(\"Number of samples\")\n", - "plt.xlabel(\"Digits\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 331 - }, - "id": "Lfmvn5V9-23B", - "outputId": "c8a0a936-a7a4-4e24-96d7-ef718d8d0baa" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[777, 927, 821, 797, 794, 691, 789, 827, 776, 801]\n", - "['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "Text(0.5, 0, 'Digits')" - ] - }, - "metadata": {}, - "execution_count": 9 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "#CNN\n", - "###Defining the Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# Model building\n", - "model=Sequential()\n", - "\n", - "\n", - "# We use a 3 x 3 convolution filter\n", - "# The number of output filters in the convolution is 64\n", - "# Convolutional layer with rectified linear unit activation\n", - "# img_rows=28 img_cols=28 and 1 for grayscale images\n", - "model.add(Conv2D(filters=64, kernel_size = (3,3), activation=\"relu\", input_shape=(28,28,1))) \n", - "model.add(Conv2D(filters=64, kernel_size = (3,3), activation=\"relu\"))\n", - "# Pooling is used to reduce the image size of width and height and it does is it pick the maximum value in a certain size of the window.\n", - "# Max pooling with a 2 x 2 window \n", - "model.add(MaxPooling2D(pool_size=(2,2),strides=(1,1)))\n", - "# Batch normalization is a layer that allows every layer of the network to do learning more independently. It is used to normalize the output of the previous layers.\n", - "# Implements regularisation\n", - "model.add(BatchNormalization())\n", - "\n", - "# We use a 3 x 3 convolution filter\n", - "# The number of output filters in the convolution is 128\n", - "# Convolutional layer with rectified linear unit activation\n", - "model.add(Conv2D(filters=128, kernel_size = (3,3), activation=\"relu\"))\n", - "model.add(Conv2D(filters=128, kernel_size = (3,3), activation=\"relu\"))\n", - "# Pooling is used to reduce the image size of width and height and it does is it pick the maximum value in a certain size of the window.\n", - "# Max pooling with a 2 x 2 window\n", - "model.add(MaxPooling2D(pool_size=(2,2),strides=(1,1)))\n", - "# Batch normalization is a layer that allows every layer of the network to do learning more independently. It is used to normalize the output of the previous layers.\n", - "# Implements regularisation\n", - "model.add(BatchNormalization()) \n", - "\n", - "# We use a 3 x 3 convolution filter\n", - "# The number of output filters in the convolution is 256\n", - "# Convolutional layer with rectified linear unit activation\n", - "model.add(Conv2D(filters=256, kernel_size = (3,3), activation=\"relu\"))\n", - "# Pooling is used to reduce the image size of width and height and it does is it pick the maximum value in a certain size of the window.\n", - "# Max pooling with a 2 x 2 window\n", - "model.add(MaxPooling2D(pool_size=(2,2),strides=(1,1)))\n", - "# Batch normalization is a layer that allows every layer of the network to do learning more independently. It is used to normalize the output of the previous layers.\n", - "# Implements regularisation\n", - "model.add(BatchNormalization())\n", - "\n", - "# Flatten since too many dimensions, we only want a classification output \n", - "model.add(Flatten())\n", - "# Adding the Dense layer with 512 units\n", - "model.add(Dense(512,activation=\"relu\"))\n", - "# Softmax to squash the matrix into output probabilities\n", - "model.add(Dense(10,activation=\"softmax\"))" - ], - "metadata": { - "id": "1L07EyQ0Yion" - }, - "execution_count": 10, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "##Compiling and training the model" - ], - "metadata": { - "id": "1nchSAeXHgEL" - } - }, - { - "cell_type": "code", - "source": [ - "# Compiling the model\n", - "# Using adam optimizer\n", - "model.compile(loss=\"categorical_crossentropy\", optimizer=\"adam\", metrics=[\"accuracy\"])\n", - "\n", - "num_epoch = 10\n", - "# Model training\n", - "history = model.fit(X_train, Y_train,\n", - " epochs=num_epoch,\n", - " verbose=1,\n", - " validation_data=(X_test, Y_test))\n", - "\n", - "#Printing loss and accuracy\n", - "test_loss, test_acc = model.evaluate(X_test, Y_test)\n", - "print(\"Loss: {0} - Acc: {1}\".format(test_loss, test_acc))" - ], - "metadata": { - "id": "nKEZ8cbO9JVV", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "78972048-28f4-446c-cb8f-fe3fc54d151e" - }, - "execution_count": 13, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/10\n", - "250/250 [==============================] - 6s 20ms/step - loss: 0.4184 - accuracy: 0.9794 - val_loss: 2.0862 - val_accuracy: 0.9655\n", - "Epoch 2/10\n", - "250/250 [==============================] - 5s 19ms/step - loss: 0.7292 - accuracy: 0.9783 - val_loss: 2.3143 - val_accuracy: 0.9560\n", - "Epoch 3/10\n", - "250/250 [==============================] - 5s 19ms/step - loss: 0.5109 - accuracy: 0.9837 - val_loss: 0.8341 - val_accuracy: 0.9775\n", - "Epoch 4/10\n", - "250/250 [==============================] - 5s 19ms/step - loss: 0.2521 - accuracy: 0.9905 - val_loss: 1.0141 - val_accuracy: 0.9710\n", - "Epoch 5/10\n", - "250/250 [==============================] - 5s 19ms/step - loss: 0.0879 - accuracy: 0.9948 - val_loss: 0.4874 - val_accuracy: 0.9845\n", - "Epoch 6/10\n", - "250/250 [==============================] - 5s 19ms/step - loss: 0.1018 - accuracy: 0.9942 - val_loss: 1.1091 - val_accuracy: 0.9665\n", - "Epoch 7/10\n", - "250/250 [==============================] - 5s 19ms/step - loss: 0.1998 - accuracy: 0.9916 - val_loss: 1.1618 - val_accuracy: 0.9710\n", - "Epoch 8/10\n", - "250/250 [==============================] - 5s 19ms/step - loss: 0.1621 - accuracy: 0.9924 - val_loss: 0.8817 - val_accuracy: 0.9815\n", - "Epoch 9/10\n", - "250/250 [==============================] - 5s 19ms/step - loss: 0.1626 - accuracy: 0.9940 - val_loss: 1.3372 - val_accuracy: 0.9685\n", - "Epoch 10/10\n", - "250/250 [==============================] - 5s 19ms/step - loss: 0.2807 - accuracy: 0.9925 - val_loss: 0.7609 - val_accuracy: 0.9800\n", - "63/63 [==============================] - 0s 6ms/step - loss: 0.7609 - accuracy: 0.9800\n", - "Loss: 0.76085364818573 - Acc: 0.9800000190734863\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predicting the images\n", - "Printing the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code\n", - "X_test__ = X_test.reshape(X_test.shape[0], 28, 28)\n", - "y_pred = model.predict(X_test__) # Prediction the model\n", - "\n", - "fig, axis = plt.subplots(4, 4, figsize=(12, 14)) # plt.subplots returns a tuple containing a figure and axes objects\n", - "for i, ax in enumerate(axis.flat):\n", - " ax.imshow(X_test__[i], cmap='binary')\n", - " ax.set(title = f\"Real Number is {Y_test[i].argmax()}\\nPredict Number is {y_pred[i].argmax()}\");\n" - ], - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 820 - }, - "outputId": "8d4ade4c-3def-4072-8f3c-1aad9bd40d66" - }, - "execution_count": 12, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_200537.ipynb b/Assignment 3/A3_200537.ipynb deleted file mode 100644 index b2f735b..0000000 --- a/Assignment 3/A3_200537.ipynb +++ /dev/null @@ -1,866 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A3_200537.ipynb", - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 112, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "execution_count": 113, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 114, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing \n", - "\n", - "print(X_train.shape,Y_train.shape )" - ], - "metadata": { - "id": "rbt0WbW6sDVs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "4ebaa584-b8ff-4e6b-95e2-c4cadb400e57" - }, - "execution_count": 115, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(8000, 28, 28) (8000,)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code\n", - "for i in range(6):\n", - " plt.subplot(2, 3, i+1)\n", - " plt.imshow(x_train[i])\n", - " plt.title(\"{} is the number\".format(y_train[i]))\n", - " plt.axis('off')" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 264 - }, - "outputId": "f07813ea-fadd-42b5-a2c4-247f3d49a8b1" - }, - "execution_count": 116, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "# Your code\n", - "unique, counts = np.unique(Y_train, return_counts=True)\n", - "\n", - "print( np.array((unique, counts)).T)" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "02c10d1b-77b7-4bbd-de5d-33733d7bfee9" - }, - "execution_count": 117, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[[ 0 781]\n", - " [ 1 892]\n", - " [ 2 832]\n", - " [ 3 807]\n", - " [ 4 808]\n", - " [ 5 717]\n", - " [ 6 757]\n", - " [ 7 833]\n", - " [ 8 769]\n", - " [ 9 804]]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "#for training dataset\n", - "plt.bar(unique,counts)\n", - "plt.title(\"Statistics of Training dataset\")\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "87KokrqEBOu1", - "outputId": "4089b55d-d261-467c-bd72-1c0086a7e3e6" - }, - "execution_count": 118, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "#for training data set\n", - "fig = plt.figure(figsize=(10,7))\n", - "plt.title(\"Statistics of Training dataset\")\n", - "plt.pie(counts, labels=unique)\n", - "plt.show\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 444 - }, - "id": "tjr1jclQ-5pq", - "outputId": "dbac760c-b200-4967-b7d7-9d94c7348dc7" - }, - "execution_count": 119, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 119 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "#for testing dataset\n", - "unique, counts = np.unique(Y_test, return_counts=True)\n", - "plt.bar(unique,counts)\n", - "plt.title(\"Statistics of Testing dataset\")\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "cCmcZmWXBVJ7", - "outputId": "924a1d13-f5b1-4556-a273-3a627a80e04e" - }, - "execution_count": 120, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "#for testing data set\n", - "unique, counts = np.unique(Y_test, return_counts=True)\n", - "fig = plt.figure(figsize=(10,7))\n", - "plt.title(\"Statistics of Testing dataset\")\n", - "plt.pie(counts, labels=unique)\n", - "plt.show" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 444 - }, - "id": "VSVbzPFnBzzh", - "outputId": "7539c70e-a16a-4f3d-a75f-7f8cc42ed157" - }, - "execution_count": 121, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 121 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n", - "import tensorflow as tf\n", - "from tensorflow.keras import datasets, layers, models\n", - "from tensorflow.keras.utils import to_categorical\n", - "from tensorflow.keras.layers import Flatten\n", - "from tensorflow.keras.layers import Dense\n", - "from tensorflow.keras.losses import BinaryCrossentropy\n", - "from tensorflow.keras.losses import sparse_categorical_crossentropy\n", - "model = models.Sequential()\n", - "model.add(layers.Conv2D(6,(5,5),activation='relu',input_shape=(28,28,1)))\n", - "model.add(layers.MaxPooling2D((2,2)))\n", - "model.add(layers.Conv2D(16,(5,5),activation='relu'))\n", - "model.add(layers.MaxPooling2D((2,2)))\n", - "\n", - "model.add(layers.Flatten(input_shape=(28,28)))\n", - "model.add(layers.Dense(32,activation='relu'))\n", - "model.add(layers.Dense(64,activation='relu'))\n", - "model.add(layers.Dense(128,activation='relu'))\n", - "model.add(layers.Dense(256,activation='relu'))\n", - "model.add(layers.Dense(10,activation=tf.nn.softmax))" - ], - "metadata": { - "id": "1L07EyQ0Yion" - }, - "execution_count": 122, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "\n", - "model.compile(optimizer='adam',\n", - " loss=sparse_categorical_crossentropy,\n", - " metrics=['accuracy'])\n", - "history = model.fit(x_train,y_train,epochs=15,validation_split=0.2)\n" - ], - "metadata": { - "id": "nKEZ8cbO9JVV", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "a1c61148-7528-4afa-a052-f1fbe513b71c" - }, - "execution_count": 123, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/15\n", - "1500/1500 [==============================] - 6s 4ms/step - loss: 0.3113 - accuracy: 0.9072 - val_loss: 0.1241 - val_accuracy: 0.9635\n", - "Epoch 2/15\n", - "1500/1500 [==============================] - 5s 3ms/step - loss: 0.1080 - accuracy: 0.9684 - val_loss: 0.1048 - val_accuracy: 0.9703\n", - "Epoch 3/15\n", - "1500/1500 [==============================] - 6s 4ms/step - loss: 0.0806 - accuracy: 0.9755 - val_loss: 0.0827 - val_accuracy: 0.9775\n", - "Epoch 4/15\n", - "1500/1500 [==============================] - 5s 4ms/step - loss: 0.0686 - accuracy: 0.9798 - val_loss: 0.0788 - val_accuracy: 0.9786\n", - "Epoch 5/15\n", - "1500/1500 [==============================] - 6s 4ms/step - loss: 0.0592 - accuracy: 0.9832 - val_loss: 0.0787 - val_accuracy: 0.9774\n", - "Epoch 6/15\n", - "1500/1500 [==============================] - 5s 4ms/step - loss: 0.0550 - accuracy: 0.9851 - val_loss: 0.0915 - val_accuracy: 0.9750\n", - "Epoch 7/15\n", - "1500/1500 [==============================] - 6s 4ms/step - loss: 0.0498 - accuracy: 0.9861 - val_loss: 0.0855 - val_accuracy: 0.9794\n", - "Epoch 8/15\n", - "1500/1500 [==============================] - 5s 4ms/step - loss: 0.0441 - accuracy: 0.9875 - val_loss: 0.0769 - val_accuracy: 0.9819\n", - "Epoch 9/15\n", - "1500/1500 [==============================] - 5s 4ms/step - loss: 0.0452 - accuracy: 0.9876 - val_loss: 0.0850 - val_accuracy: 0.9797\n", - "Epoch 10/15\n", - "1500/1500 [==============================] - 5s 4ms/step - loss: 0.0415 - accuracy: 0.9886 - val_loss: 0.0785 - val_accuracy: 0.9799\n", - "Epoch 11/15\n", - "1500/1500 [==============================] - 5s 4ms/step - loss: 0.0371 - accuracy: 0.9897 - val_loss: 0.0676 - val_accuracy: 0.9841\n", - "Epoch 12/15\n", - "1500/1500 [==============================] - 5s 3ms/step - loss: 0.0370 - accuracy: 0.9896 - val_loss: 0.0733 - val_accuracy: 0.9837\n", - "Epoch 13/15\n", - "1500/1500 [==============================] - 5s 3ms/step - loss: 0.0360 - accuracy: 0.9901 - val_loss: 0.0803 - val_accuracy: 0.9845\n", - "Epoch 14/15\n", - "1500/1500 [==============================] - 6s 4ms/step - loss: 0.0338 - accuracy: 0.9906 - val_loss: 0.0814 - val_accuracy: 0.9851\n", - "Epoch 15/15\n", - "1500/1500 [==============================] - 6s 4ms/step - loss: 0.0340 - accuracy: 0.9906 - val_loss: 0.0766 - val_accuracy: 0.9833\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "import pandas as pd\n", - "df=pd.DataFrame(history.history)\n", - "df['epoch']=history.epoch\n", - "df" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 520 - }, - "id": "2GwMzlV0I84u", - "outputId": "f6681cd3-6bd3-4f17-edfc-23080e647107" - }, - "execution_count": 124, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - " loss accuracy val_loss val_accuracy epoch\n", - "0 0.311257 0.907229 0.124066 0.963500 0\n", - "1 0.108003 0.968375 0.104792 0.970333 1\n", - "2 0.080621 0.975521 0.082724 0.977500 2\n", - "3 0.068574 0.979813 0.078846 0.978583 3\n", - "4 0.059209 0.983167 0.078720 0.977417 4\n", - "5 0.054951 0.985125 0.091521 0.975000 5\n", - "6 0.049822 0.986063 0.085450 0.979417 6\n", - "7 0.044085 0.987458 0.076859 0.981917 7\n", - "8 0.045210 0.987583 0.085030 0.979750 8\n", - "9 0.041517 0.988563 0.078452 0.979917 9\n", - "10 0.037149 0.989729 0.067568 0.984083 10\n", - "11 0.036996 0.989625 0.073278 0.983750 11\n", - "12 0.035980 0.990125 0.080338 0.984500 12\n", - "13 0.033760 0.990625 0.081420 0.985083 13\n", - "14 0.033988 0.990562 0.076647 0.983333 14" - ], - "text/html": [ - "\n", - "
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lossaccuracyval_lossval_accuracyepoch
00.3112570.9072290.1240660.9635000
10.1080030.9683750.1047920.9703331
20.0806210.9755210.0827240.9775002
30.0685740.9798130.0788460.9785833
40.0592090.9831670.0787200.9774174
50.0549510.9851250.0915210.9750005
60.0498220.9860630.0854500.9794176
70.0440850.9874580.0768590.9819177
80.0452100.9875830.0850300.9797508
90.0415170.9885630.0784520.9799179
100.0371490.9897290.0675680.98408310
110.0369960.9896250.0732780.98375011
120.0359800.9901250.0803380.98450012
130.0337600.9906250.0814200.98508313
140.0339880.9905620.0766470.98333314
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\n", - "
\n", - " " - ] - }, - "metadata": {}, - "execution_count": 124 - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(df['epoch'],df['accuracy'],label='accuracy')\n", - "plt.plot(df['epoch'],df['val_accuracy'],label='val_accuracy')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Accuracy')\n", - "plt.legend()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 296 - }, - "id": "8mNtDFRjJbks", - "outputId": "1ec2c407-bdf4-43fd-879b-14eba45791e3" - }, - "execution_count": 125, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 125 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(df['epoch'],df['loss'],label='loss')\n", - "plt.plot(df['epoch'],df['val_loss'],label='val_loss')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('loss')\n", - "plt.legend()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 296 - }, - "id": "JLKtRFLZK1GM", - "outputId": "f22197d7-d4e7-44ec-e045-7c2855214118" - }, - "execution_count": 126, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 126 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code\n", - "digt=model.predict(X_test[:100])\n", - "arr=[]\n", - "for i in range(100):\n", - " n=np.where(digt[i]==max(digt[i]))\n", - " arr.append(n)\n", - "plt.figure(figsize=(17,17))\n", - "for i in range(100):\n", - " plt.subplot(10,10,i+1)\n", - " plt.imshow(X_test[i])\n", - " plt.xlabel(f\"{Y_test[i]} but I say {arr[i][0]}\")\n", - " plt.xticks([])\n", - " plt.yticks([])" - ], - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 969 - }, - "outputId": "6b623586-1cb4-4bb8-c56a-b1bc5c5a8a3c" - }, - "execution_count": 129, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_200665.ipynb b/Assignment 3/A3_200665.ipynb deleted file mode 100644 index 6fb9c5b..0000000 --- a/Assignment 3/A3_200665.ipynb +++ /dev/null @@ -1,624 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "VGHh_5UYzKpV" - }, - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "JnsMbCPNzPAr" - }, - "source": [ - "## Importing TensorFlow" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "6Ji7HGpgzSPi" - }, - "source": [ - "## Get the dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "oEW3KDEvzIHL", - "outputId": "b6727413-2ebf-40aa-aa00-c6c00dbb7ef0" - }, - "outputs": [], - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "outputs": [], - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "id": "rbt0WbW6sDVs" - }, - "outputs": [], - "source": [ - "\n", - "# Pre processing\n", - "X_train = X_train/255.0\n", - "X_test = X_test/255.0\n", - "\n", - "# print(X_train,X_test)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(8000,)" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Y_train.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(2000,)" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Y_test.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.utils import to_categorical" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "Y_train_use = to_categorical(Y_train, 10)\n", - "Y_test_use = to_categorical(Y_test,10)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(8000, 10)" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Y_train_use.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(2000, 10)" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Y_test_use.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(2000, 28, 28)" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X_test.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(2000, 28, 28, 1)" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X_test= X_test.reshape(2000,28,28,1)\n", - "X_test.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(8000, 28, 28)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X_train.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(8000, 28, 28, 1)" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X_train = X_train.reshape(8000,28,28,1)\n", - "X_train.shape" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "EVpQheoVqoEG" - }, - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 295 - }, - "id": "yF1Nj63Bz9m7", - "outputId": "83f46461-60aa-4291-9ecc-c7bd4c77ade6" - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "f, axs = plt.subplots(2,5,figsize=(10,5))\n", - "# print(axs)\n", - "for i in range(2):\n", - " for j in range(5): \n", - " axs[i][j].imshow(x_train[2*j + i], cmap=plt.get_cmap('gray'))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Rx8muKSIrKhe" - }, - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "id": "37kehTG_6Pi4" - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "import seaborn as sns\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 592 - }, - "id": "4Xjhg2lQr85G", - "outputId": "6ef6398b-9cca-45d5-a740-72a190cd1309" - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\bhuvn\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", - " warnings.warn(\n", - "C:\\Users\\bhuvn\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", - " warnings.warn(\n", - "C:\\Users\\bhuvn\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", - " warnings.warn(\n" - ] - }, - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'y_train')" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig ,axs = plt.subplots(1,3,figsize= (27,7))\n", - "sns.countplot(y_train,ax = axs[0])\n", - "axs[0].set_title(\"y_train\")\n", - "sns.countplot(Y_test, ax = axs[1])\n", - "axs[1].set_title(\"Y_test\")\n", - "sns.countplot(Y_train,ax = axs[2])\n", - "axs[2].set_title(\"y_train\")" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "kWlpCWdAr8d3" - }, - "source": [ - "## Model" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.layers import Dense,MaxPool2D,Convolution2D,Flatten\n", - "from tensorflow.keras.models import Sequential" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "id": "1L07EyQ0Yion" - }, - "outputs": [], - "source": [ - "# model building\n", - "\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n", - "model = Sequential()\n", - "# CONVOLUTIONAL LAYER\n", - "model.add(Convolution2D(filters=32, kernel_size=(4,4),input_shape=(28, 28, 1), activation='relu',))\n", - "# POOLING LAYER\n", - "model.add(MaxPool2D(pool_size=(2, 2)))\n", - "\n", - "# FLATTEN IMAGES FROM 28 by 28 to 764 BEFORE FINAL LAYER\n", - "model.add(Flatten())\n", - "\n", - "# 128 NEURONS IN DENSE HIDDEN LAYER \n", - "model.add(Dense(128, activation='relu'))\n", - "\n", - "# LAST LAYER IS THE CLASSIFIER, THUS 10 POSSIBLE CLASSES\n", - "model.add(Dense(10, activation='softmax'))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.callbacks import EarlyStopping" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "early_stop = EarlyStopping( monitor='val_loss',patience= 3)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "id": "nKEZ8cbO9JVV" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/10\n", - "250/250 [==============================] - 4s 14ms/step - loss: 0.1166 - accuracy: 0.9653 - val_loss: 0.1301 - val_accuracy: 0.9555\n", - "Epoch 2/10\n", - "250/250 [==============================] - 3s 13ms/step - loss: 0.0542 - accuracy: 0.9834 - val_loss: 0.0965 - val_accuracy: 0.9715\n", - "Epoch 3/10\n", - "250/250 [==============================] - 3s 13ms/step - loss: 0.0281 - accuracy: 0.9909 - val_loss: 0.1031 - val_accuracy: 0.9705\n", - "Epoch 4/10\n", - "250/250 [==============================] - 3s 13ms/step - loss: 0.0170 - accuracy: 0.9956 - val_loss: 0.0935 - val_accuracy: 0.9740\n", - "Epoch 5/10\n", - "250/250 [==============================] - 3s 12ms/step - loss: 0.0123 - accuracy: 0.9970 - val_loss: 0.0707 - val_accuracy: 0.9785\n", - "Epoch 6/10\n", - "250/250 [==============================] - 3s 13ms/step - loss: 0.0069 - accuracy: 0.9984 - val_loss: 0.1002 - val_accuracy: 0.9745\n", - "Epoch 7/10\n", - "250/250 [==============================] - 3s 12ms/step - loss: 0.0056 - accuracy: 0.9986 - val_loss: 0.0779 - val_accuracy: 0.9790\n", - "Epoch 8/10\n", - "250/250 [==============================] - 3s 13ms/step - loss: 0.0014 - accuracy: 1.0000 - val_loss: 0.0852 - val_accuracy: 0.9780\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "\n", - "model.compile(loss='categorical_crossentropy',\n", - " optimizer='adam',\n", - " metrics=['accuracy']) \n", - "\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "model.fit(X_train, Y_train_use,epochs=10, validation_data=(X_test,Y_test_use),callbacks= [early_stop])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "ml1Kna_DuJrL" - }, - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "id": "qioZul7_uiYq" - }, - "outputs": [], - "source": [ - "Test_Images = X_test[0:10]" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1/1 [==============================] - 0s 19ms/step\n", - "1/1 [==============================] - 0s 28ms/step\n", - "1/1 [==============================] - 0s 16ms/step\n", - "1/1 [==============================] - 0s 18ms/step\n", - "1/1 [==============================] - 0s 24ms/step\n", - "1/1 [==============================] - 0s 17ms/step\n", - "1/1 [==============================] - 0s 16ms/step\n", - "1/1 [==============================] - 0s 17ms/step\n", - "1/1 [==============================] - 0s 15ms/step\n", - "1/1 [==============================] - 0s 17ms/step\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "f, axs = plt.subplots(2,5,figsize=(10,5))\n", - "for i in range(2):\n", - " for j in range(5): \n", - " axs[i][j].imshow(Test_Images[2*j + i], cmap=plt.get_cmap('gray'))\n", - " predictions = (model.predict(Test_Images[2*j + i].reshape(1,28,28,1)) > 0.5).astype(\"int32\")\n", - " predictions = predictions.reshape(-1)\n", - " label = -1\n", - " for m in range(10):\n", - " if predictions[m] == 1:\n", - " label = m\n", - " axs[i][j].set_title(str(label))\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "collapsed_sections": [], - "name": "Copy of CV_with_TF-Assignment-3.ipynb", - "provenance": [] - }, - "gpuClass": "standard", - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/Assignment 3/A3_200698.ipynb b/Assignment 3/A3_200698.ipynb deleted file mode 100644 index 14e0ff4..0000000 --- a/Assignment 3/A3_200698.ipynb +++ /dev/null @@ -1,531 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "VGHh_5UYzKpV" - }, - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "JnsMbCPNzPAr" - }, - "source": [ - "## Importing TensorFlow" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "6Ji7HGpgzSPi" - }, - "source": [ - "## Get the dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "outputs": [], - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "outputs": [], - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "id": "rbt0WbW6sDVs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "011de66c-771d-418d-a070-b54489c0a8a5" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(8000, 28, 28)" - ] - }, - "metadata": {}, - "execution_count": 16 - } - ], - "source": [ - "# Pre processing \n", - "X_train = X_train / 255.0\n", - "X_test = X_test / 255.0\n", - "X_train.shape" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "EVpQheoVqoEG" - }, - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 608 - }, - "outputId": "af728bd3-94f5-4a9b-8001-325d00bfd093" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.figure(figsize=(20,10))\n", - "for i in range(50):\n", - " plt.subplot(5,10,i+1)\n", - " # plt.xticks([])\n", - " # plt.yticks([])\n", - " # plt.grid(False)\n", - " plt.imshow(X_train[i], cmap=plt.cm.binary)\n", - " plt.xlabel(Y_train[i])\n", - "plt.show()\n", - "\n", - "# Your code" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Rx8muKSIrKhe" - }, - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 541 - }, - "outputId": "883890b7-f9c9-4903-9ef9-34fc1bd7db0d" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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VxrPBaxiExK7uD4DvV9W6qvolcC3wsp5r6o2hMLupHXojSRj0L99bVR/tu55JqKr3VtXBVbWIwf/rr1TVVPzVWFUPAw8meUHXtAS4p8eSJuUHwLFJ9uz+zS9hCi6wb8m8GuZiPtoJht4Yp5cDpwPfSXJH1/a+qrqhx5o0Xn8JXNH9AbQKOLPnesauqm5Lcg1wO4M77r7NFA954TAXkqTG7iNJUmMoSJIaQ0GS1BgKkqTGUJAkNYaCtA2SbEhyRzei5n8leVeSZ3TLFie5cITv+I/uc1GS14+7ZmlbeEuqtA2SPF5Ve3fT+wOfAb5RVefP4buOA/6qql6zY6uU5s4zBWmOqmotsBQ4NwPHbXz/QpKZJDd3ZxSfSPJAkv26ZY93X3EB8Hvdmcc7+zkK6f8zFKTtUFWrGDzpvv8mi85nMETGixmMIXTIZjZfBny9qo6oqo+Nt1JpNA5zIY3HK4DXAlTVjUke7bkeaSSeKUjbIcnzgQ3A2r5rkXYEQ0GaoyQzwD8B/1hPv2PjG8Cp3XonAPtu5ivWA/uMtUhpGxkK0rbZY+MtqcCXgZuAD2xmvQ8AJyS5C/gz4GEGITDsTmBDd2urF5o1L3hLqjQGSZ4NbOiGXn8pg7eZHdF3XdJsvNAsjcchwNXdg22/AM7uuR5pJJ4pSJIarylIkhpDQZLUGAqSpMZQkCQ1hoIkqfk/LOghsxXy3VEAAAAASUVORK5CYII=\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "import numpy as np\n", - "unique, counts = np.unique(Y_train, return_counts=True)\n", - "plt.bar(unique,counts)\n", - "plt.xlabel('Digit')\n", - "plt.ylabel('Occurences')\n", - "plt.show()\n", - "unique, counts = np.unique(Y_test, return_counts=True)\n", - "plt.bar(unique,counts)\n", - "plt.xlabel('Digit')\n", - "plt.ylabel('Occurences')\n", - "plt.show()\n", - "\n", - "# Your code" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "kWlpCWdAr8d3" - }, - "source": [ - "## Model" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "id": "1L07EyQ0Yion" - }, - "outputs": [], - "source": [ - "# model building\n", - "\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n", - "model = tf.keras.Sequential([\n", - " # tf.keras.layers.Rescaling(1./255, input_shape=(img_height, img_width, 3)),\n", - " tf.keras.layers.Conv2D(32,(3,3),activation='relu',input_shape=(28,28,1)),\n", - " tf.keras.layers.MaxPooling2D((2,2)),\n", - " tf.keras.layers.Conv2D(64,(3,3),activation='relu'),\n", - " tf.keras.layers.MaxPooling2D((2,2)),\n", - " tf.keras.layers.Dropout(0.1),\n", - " tf.keras.layers.Flatten(),\n", - " tf.keras.layers.Dense(128),\n", - " tf.keras.layers.Dropout(0.1),\n", - " tf.keras.layers.Dense(10)\n", - "])" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "id": "nKEZ8cbO9JVV", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "eb2b2835-f499-40f9-906d-d13495e75f9e" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/50\n", - "200/200 [==============================] - 1s 5ms/step - loss: 0.4453 - accuracy: 0.8603 - val_loss: 0.1573 - val_accuracy: 0.9513\n", - "Epoch 2/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1087 - accuracy: 0.9673 - val_loss: 0.1410 - val_accuracy: 0.9594\n", - "Epoch 3/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0672 - accuracy: 0.9783 - val_loss: 0.1251 - val_accuracy: 0.9625\n", - "Epoch 4/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0445 - accuracy: 0.9861 - val_loss: 0.0698 - val_accuracy: 0.9769\n", - "Epoch 5/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0317 - accuracy: 0.9883 - val_loss: 0.0632 - val_accuracy: 0.9812\n", - "Epoch 6/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0272 - accuracy: 0.9894 - val_loss: 0.0766 - val_accuracy: 0.9744\n", - "Epoch 7/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0198 - accuracy: 0.9934 - val_loss: 0.0717 - val_accuracy: 0.9844\n", - "Epoch 8/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0245 - accuracy: 0.9922 - val_loss: 0.0772 - val_accuracy: 0.9806\n", - "Epoch 9/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0186 - accuracy: 0.9937 - val_loss: 0.0757 - val_accuracy: 0.9825\n", - "Epoch 10/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0100 - accuracy: 0.9970 - val_loss: 0.0665 - val_accuracy: 0.9844\n", - "Epoch 11/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0118 - accuracy: 0.9953 - val_loss: 0.0694 - val_accuracy: 0.9831\n", - "Epoch 12/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0112 - accuracy: 0.9956 - val_loss: 0.0782 - val_accuracy: 0.9831\n", - "Epoch 13/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0137 - accuracy: 0.9948 - val_loss: 0.0734 - val_accuracy: 0.9831\n", - "Epoch 14/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0073 - accuracy: 0.9972 - val_loss: 0.0884 - val_accuracy: 0.9787\n", - "Epoch 15/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0120 - accuracy: 0.9959 - val_loss: 0.1157 - val_accuracy: 0.9756\n", - "Epoch 16/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0137 - accuracy: 0.9966 - val_loss: 0.0879 - val_accuracy: 0.9775\n", - "Epoch 17/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0100 - accuracy: 0.9966 - val_loss: 0.0763 - val_accuracy: 0.9837\n", - "Epoch 18/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0083 - accuracy: 0.9980 - val_loss: 0.0808 - val_accuracy: 0.9794\n", - "Epoch 19/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0022 - accuracy: 0.9992 - val_loss: 0.0827 - val_accuracy: 0.9856\n", - "Epoch 20/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0042 - accuracy: 0.9984 - val_loss: 0.0838 - val_accuracy: 0.9850\n", - "Epoch 21/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0165 - accuracy: 0.9948 - val_loss: 0.0821 - val_accuracy: 0.9781\n", - "Epoch 22/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0017 - accuracy: 0.9995 - val_loss: 0.0689 - val_accuracy: 0.9856\n", - "Epoch 23/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0012 - accuracy: 0.9998 - val_loss: 0.0787 - val_accuracy: 0.9862\n", - "Epoch 24/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0123 - accuracy: 0.9962 - val_loss: 0.1063 - val_accuracy: 0.9794\n", - "Epoch 25/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0123 - accuracy: 0.9961 - val_loss: 0.0735 - val_accuracy: 0.9831\n", - "Epoch 26/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0044 - accuracy: 0.9986 - val_loss: 0.0679 - val_accuracy: 0.9869\n", - "Epoch 27/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0023 - accuracy: 0.9991 - val_loss: 0.0773 - val_accuracy: 0.9837\n", - "Epoch 28/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0022 - accuracy: 0.9992 - val_loss: 0.0624 - val_accuracy: 0.9875\n", - "Epoch 29/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0034 - accuracy: 0.9989 - val_loss: 0.0617 - val_accuracy: 0.9850\n", - "Epoch 30/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0131 - accuracy: 0.9955 - val_loss: 0.0605 - val_accuracy: 0.9856\n", - "Epoch 31/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0032 - accuracy: 0.9989 - val_loss: 0.0719 - val_accuracy: 0.9806\n", - "Epoch 32/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0059 - accuracy: 0.9975 - val_loss: 0.1028 - val_accuracy: 0.9806\n", - "Epoch 33/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0067 - accuracy: 0.9981 - val_loss: 0.0602 - val_accuracy: 0.9881\n", - "Epoch 34/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0053 - accuracy: 0.9983 - val_loss: 0.0543 - val_accuracy: 0.9869\n", - "Epoch 35/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0022 - accuracy: 0.9995 - val_loss: 0.0561 - val_accuracy: 0.9862\n", - "Epoch 36/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 5.2755e-04 - accuracy: 0.9998 - val_loss: 0.0501 - val_accuracy: 0.9875\n", - "Epoch 37/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 3.0179e-04 - accuracy: 1.0000 - val_loss: 0.0515 - val_accuracy: 0.9887\n", - "Epoch 38/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0011 - accuracy: 0.9997 - val_loss: 0.0604 - val_accuracy: 0.9875\n", - "Epoch 39/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 3.8427e-04 - accuracy: 1.0000 - val_loss: 0.0611 - val_accuracy: 0.9887\n", - "Epoch 40/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0181 - accuracy: 0.9948 - val_loss: 0.1390 - val_accuracy: 0.9775\n", - "Epoch 41/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0176 - accuracy: 0.9952 - val_loss: 0.0773 - val_accuracy: 0.9844\n", - "Epoch 42/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0028 - accuracy: 0.9989 - val_loss: 0.0757 - val_accuracy: 0.9850\n", - "Epoch 43/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0074 - accuracy: 0.9981 - val_loss: 0.1649 - val_accuracy: 0.9787\n", - "Epoch 44/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0131 - accuracy: 0.9958 - val_loss: 0.1181 - val_accuracy: 0.9775\n", - "Epoch 45/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0024 - accuracy: 0.9991 - val_loss: 0.0637 - val_accuracy: 0.9894\n", - "Epoch 46/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0012 - accuracy: 0.9995 - val_loss: 0.0812 - val_accuracy: 0.9800\n", - "Epoch 47/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0060 - accuracy: 0.9984 - val_loss: 0.1114 - val_accuracy: 0.9837\n", - "Epoch 48/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0022 - accuracy: 0.9992 - val_loss: 0.0723 - val_accuracy: 0.9862\n", - "Epoch 49/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0089 - accuracy: 0.9967 - val_loss: 0.0734 - val_accuracy: 0.9856\n", - "Epoch 50/50\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0043 - accuracy: 0.9989 - val_loss: 0.0692 - val_accuracy: 0.9856\n" - ] - } - ], - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.compile(optimizer='adam', loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), metrics=['accuracy'])\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "history = model.fit(X_train,Y_train,epochs=50,validation_split=0.2)" - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['accuracy'], label='accuracy')\n", - "plt.plot(history.history['val_accuracy'], label = 'val_accuracy')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Accuracy')\n", - "plt.ylim([0.85, 1.05])\n", - "plt.legend(loc='lower right')" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 301 - }, - "id": "xIRCik3jXc0Y", - "outputId": "73c6716a-ea59-4688-881f-e1abd57111fc" - }, - "execution_count": 26, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 26 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "ml1Kna_DuJrL" - }, - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "fa674530-7300-4012-d473-01660e69af36" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(2000, 10)" - ] - }, - "metadata": {}, - "execution_count": 41 - } - ], - "source": [ - "# Your code\n", - "y_pred = model.predict(X_test)\n", - "y_pred.shape" - ] - }, - { - "cell_type": "code", - "source": [ - "arr=[]\n", - "for i in range(2000):\n", - " n=np.where(y_pred[i]==max(y_pred[i]))\n", - " arr.append(n)\n", - "# Your code\n", - "plt.figure(figsize=(20,20))\n", - "for i in range(100):\n", - " plt.subplot(10,10,i+1)\n", - " plt.xticks([])\n", - " plt.imshow(X_test[i],cmap=plt.cm.binary)\n", - " if(Y_test[i]==arr[i][0]):\n", - " plt.xlabel(f\"{Y_test[i]}--->{arr[i][0]}\",color='g')\n", - " else:\n", - " plt.xlabel(f\"{Y_test[i]}--->{arr[i][0]}\",color='r')" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "JFDQ-di8csxF", - "outputId": "efb3afca-4c81-42f4-f001-e080a0582189" - }, - "execution_count": 62, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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fdtllvu+zdOlSE8vvCwCglDJxuXLlTOz+DpPLEh3ZMwnAgZnFOgGYmJrmUIYxj8HHHNqBeQw+5tAOzGPwMYd2YB6Djzm0A/MYYPEsvT4WwBcATlJKrVNK3QygP4BLlVIrADSJblMOYx6Djzm0A/MYfMyhHZjH4GMO7cA8Bh9zaAfm0T6FlnFprb3WQ70kxW1JqZYtW5o4W6VbuSSoeUwVOUQPAObOnWtiuezwnj17PK9RpcrB+cjkksEAUKJEiWSbWKig5NC9TO/48eNNLIc9uss7vIbIJsI9MdxVV11lYjkks3Xr1o7jDj/88JS1wUtQ8ujlnXfe8dwn8ztw4EATxyrdkuTvjnsYe/Xq1U3csGHDuK6XLkHJoXtIufzdf/HFF1N6L1kKJmNZqgU4349Xr16d0jb4FZQ8kjfbc7ho0SITe5WfyPI7wFkSOXnyZBPfcsstjuPk0t9yqe9ssCmPK1as8NwX7zQEn376aaqakzG5nMNKlSqZuG7duo59so9Js2fPdmzLMmj5ebVx48YmHj16NOLhboO7rCubcimPQ4YMMfFPP7kXCDtIfsaU389ifV6V5LVj3adkyZImrlGjhudxJ5xwgol793auUC9/XzIld367iIiIiIiIiIgoaXzYQ0RERERERERkkURX48qaG2+80cRyxuwtW5wTg8sh/5QZ69atM/Gxxx6btvvs3r3bsb1kyRIT/+9//zPx66+/buL//ve/jnN27drl+74PP/ywiWVZEDn17+8s5f3rr79MfNddd5k4lWVbbu5Z+9esWVPgcX369HFs59JQ2lyyY8cOE8vVlNwrJskyLLlqQSxyyOysWbM8j+vSpYvvaxd13bp1c2zn5+dnvA3y9RnwXmWGsk8OeT/nnHOy2BI6QJZknXrqqSb+9ttvTSxfkwHn63WvXr1MfNZZZzmOy3bpVlF02mmnFfhzd+n5xo0bCzzuyiuvTHmbigJZoi9LbADvMi532eTevXtNLD+/ur9/xmPBggWO7f3795u4WLFiJnaXYq9atcrEy5YtM/F5553nOO6oo47y3aZcJF/LYpErC6aTXDH2hx9+8DxO7ps5c6Zjn1xJXK4ilk78ZkNEREREREREZBE+7CEiIiIiIiIiskjgyrjKlCljYrnaS65bvnx5tpuQdnIosVzlIdUeeOABx7a7ZCdd7rzzThO7y8JkyVhRLAWSw1sTKZFLhS+//NLETz/9tOdxJ510kolPP/30tLbJFh999JGJf/75ZxO7VzqUQ1xlSaXsE6+99prjHNl/N23a5NmGI444wkeLCQDy8vJibmeCe8Ut+VohV9DIxEp45PTNN984tmWuHn300cw2hgpUuXJlE99zzz0mHj58uIndK+vJz5tNmzb1PK506dIpaycdtHPnTs99derUKfDn8jMkAGzevLnA4+Jd2ZJST5YK3X777SaWK0Yl6vPPPzfx9OnTTewuAXJvH+AuKbKljOvcc881cSL/nW+66SbHtlxVWZa1ytfJeLk/r7766qsmlv157dq1juPkVBdyBdt0Tk9Q9L6VEhERERERERFZjA97iIiIiIiIiIgswoc9REREREREREQWCdycPUH1yiuveO6TS2tS4eTSg4mSy8ref//9JnbPCzJ37lwTy2W6x44d6zhu1KhRJi5ZsmTS7QuaPXv2mFjO25Jucm6evn37xtUGuRQtxWffvn0F/tw9z8Cbb75pYq8lM91LicbrlFNOSeg8yrzPPvvMxHKuM7fmzZubuG7dumltE/3ds88+69iW+WjYsGGmm0OFkK+p8+bNM7HW2nFcvXr1TPz++++nv2GEX3/91cSTJ0/2ff4777yTyuZQDO3bt3dsjx8/Pq7z5GdMudy6e06WRDRu3Djpa9iodevWJpZz2rjnm5M6dOhg4urVq6enYQBOOOEEx/aTTz5p4vPPP9/EV155peO4+fPnm/jBBx808b/+9a9UN9HgyB4iIiIiIiIiIovwYQ8RERERERERkUVYxuVBLns4bNgwx75EllHfunWr57677rrL9/VykVyqNZ1Lr993332O7Tlz5ph427ZtJu7cubOJu3fv7jjntNNOM3GZMmU879WoUSMTP/744yZ2l6jMmjXLxJdcconn9Wwll012L+cqh5jLsjj30HMvy5YtM/G4ceMc+2bPnh3XNSpVqmRi91KMVDg5lFYONZV9Lxa53L17CLUcAj1ixAgT16xZ03Hc2WefHV9jKetkP921a5djX8WKFU3sLoelzJKvrYCzjMvd/yj7NmzYYGL5/ik/zwDAG2+8kbE2UcSaNWtM/PPPPzv21a5d28Ry6Wf5veB///tfXPdhOXPyLr/8cse2/Gzx1VdfeZ4n+1wqllsnf+T7k4xzkVIqpccliyN7iIiIiIiIiIgswoc9REREREREREQWKfJlXH/88YeJn3jiCRO/9NJLJo5VgkUHlS9fPiP3cZdJffHFFybevXu3iU888UQTly1bNq1tuuCCC9J6/SAZPHiwY7tNmzYmlqsZuMu4vIYzlihRwsRnnHGGY9+tt95q4uHDh3u26frrr4/RYipM8eIH3ypkicC7777rec7JJ59s4iuuuMLEpUqVchwnVyOQ3KsoyJUYKPfIFSdlOZ4sWwCAiRMnZqxNREH32muvmXjo0KEmlu+X7tdGWTZEmXHMMceY2J2PFStWmFiWLcvVKzdt2uR5bfkZKD8/P6l20t+nGpCl5XK131z/7ie/41SoUCGLLaFcx5E9REREREREREQW4cMeIiIiIiIiIiKL8GEPEREREREREZFFitycPdOnT3dsX3bZZSbeu3dvRtrgXtLUlvrqI4880sRyefTnnnsurfetVatWyq61cuVKx7acB8a9hDAVTM7PAgDjx483sZzvxb3U6HHHHWdi2Ufk9c466yzHOQMGDCiwDXKpdQC46667Cms2xUm+Xj3wwAO+z//1118d2++9916Bx8nXZso9cq40ALjzzjtNLN9Lu3Xr5jiuQYMG6W0YxSTnD3EvEZ3ry9kWBXIeScA5l2T9+vVNXLlyZRP/3//9n+Oc2bNnm7hx48apbiIVQM5Zeeqppzr2ye8d11xzjYmXLVsW17U7dOhgYvk7QKkhP2MOGjTIxNu2bXMc555nMpXkPE/yd+mjjz5yHHfKKaeYWM7bJedVJHLjyB4iIiIiIiIiIovwYQ8RERERERERkUWKxLivKVOmmLhFixaOfV6lW3Kp5t69ezv2yTKGmTNnmvjqq6+Oqz1jxoxxbJ900klxnZfrzj//fBM///zzJk53GVeywuGwiYcNG+bYt3nz5gLPGTJkiGNbLo1JTpdcckmBcSK+//57x7bX71bVqlUd23IZcMqucePGObbdOT3g3HPPzURzyIf169eb+LzzznPsk0PK5XumfH2l7JMlPu7XT5aIZF8oFHJsL1++3MS9evUysSwVcpdxzZ8/38Qs48q8evXqObZlGZdX6dahhx7q2P79999NLPP5119/OY7jZ8/kHX/88SaWUzmMHj3acVy/fv1MLJdoj5cs1erbt69jn5z64pBDOA4jiJYsWWLiESNGxHVO9erV09UcB/5GERERERERERFZpNCHPUqp6kqp6Uqp75RS3yql7o7+/Ail1FSl1Iro/1dMf3MpEcyhHZjH4GMO7cA8Bh9zaAfmMfiYQzswj8HHHNopnjKuvQDu01rPV0qVBzBPKTUVQGcA07TW/ZVSfQD0AdA7xnUyas+ePSYeOHCgid0rHUg1atQwsVzlJy8vz3Hcb7/9ZmK5WlMsl19+uYndKwplQEZyKFc8evbZZ00sh7YBf1+pIBPcK/5s377dxLJ0y122JWe+79Gjh4lvuukmx3GyhCGNAtkXU8lddrB161YTyxy88MILGWuTT0U+hz/88IPnvgoVKpg4G68TPhSZPH799dcmbtmypedxPXv2NLEc7p7DikwO9+/fb+L333/fxO6VEwPKqjy+/fbbjm25AtDRRx9t4m+//TZjbcoAq3J42223ObZ37txpYrkKaatWrUy8bt06xznyO8g333xj4kWLFjmOy8/PT66xqWVVHjt16uTYbtOmjYlLlSrl+3rXXXediWVJZo6xKoep9ssvv5jY/VotS/F27NjheY0333zTxNdee20KW+et0JE9WuuNWuv50Xg3gKUAjgHQAsCBgsbRAK4p+AqUbcyhHZjH4GMO7cA8Bh9zaAfmMfiYQzswj8HHHNrJ15w9Sqk8APUBfAWgitZ6Y3TXJgBVPM7pppSaq5SaK/8KT9nBHNqBeQw+5tAOzGPwMYd2YB6Djzm0A/MYfMyhPeJ+2KOUKgdgHIB7tNY/y306Ms5UF3Se1nqE1jpfa51fuXLlpBpLyWEO7cA8Bh9zaAfmMfiYQzswj8HHHNqBeQw+5tAucS29rpQqgUjS39Baj4/+eLNSqprWeqNSqhqALelqZCJ27dplYvecMV5kHZ2cO2Ls2LGO45555hkTL1y40PN6cg6Drl27mti9xGImZCKHhx12mInlspFNmjRxHNe/f38Td+7cOZlb/o2cm+fxxx838eLFix3HuZevPKBjx46O7aeeesrEsl4+W4LYF5Mll5798MMPPY87++yzTdyoUaO0tikZRTGHcg41+Trr1rZtWxMfddRRaW1TsmzOo1zKWc5VtmHDBhOff/75jnPknG3Fi8f10SLrbM6hJD8PyffIPn36ZKM5KRf0PMr5HeScLoBzLroHHnjAxPIzlg2CnkOpVq1aju2RI0cWes4ll1ziuU/OJ5pjc/T8jU15dJPva3KuFfecoEFncw6TNW3aNBO752710rRpU8f2NdccrIArWbJkahpWiHhW41IAXgWwVGs9UOyaBODA7FWdAExMffMoFZhDOzCPwccc2oF5DD7m0A7MY/Axh3ZgHoOPObRTPH9+Ow9ABwCLlVIHhrE8CKA/gLeVUjcD+BHADelpIqUAc2gH5jH4mEM7MI/BxxzagXkMPubQDsxj8DGHFir0YY/WejYAr3WlvccdZtkxxxxj4ptvvtnEjz32mOc5ffv2NfHu3btN/NVXX3meI4fYymW6ASAUCpm4bNmyhbQ4fTKVQzkcbePGjSZ2L+8qh77NmDHDxHXr1o3rPu4ykBUrVphYlot4lWq5zZkzx8T169d37CtWrFhc18iEoPbFZH388ccmlmUkbt27d89Ec5JSVHMohznLsjy34447LhPNSZpteVy7dq1j+/777zfxypUrTSyHH48fPx5BZlsOY5Gl7KeffrqJTzvttGw0J6WKUh69Srfcn1tuuCFY38OKUg69bNniXRVzwQUXZLAlibM9j4cccrAYJi8vL3sNSSMbcijL0GP1qzp16phYfo+Uy6sDwHPPPRfX9aTq1aub+Omnn3bsK1WqVFzXSCVfq3EREREREREREVFu48MeIiIiIiIiIiKLBGPJjCTJVbFeeuklxz45JOuTTz6J63qytKdLly4mHjZsWKJNtIIsaatataqJw+Gw4zhZLjd69Oi0tef444838cMPP+zYd/3115u4TJkyJpbDNCl7/vzzTxO/8847nsedeOKJJg7a0PWixL3CjHT44YebWK7GRZlzyy23OLaXLVtmYlme/Pzzz2esTZQ6cmVKWfLjXqWyQYMGGWsTHVSxYkUTDx8+3LHv008/NbEs45J5fPTRR9PXOEqbnTt3mliumOfGfkkU25dffmniVq1amVh+l3CT06v8+uuvJo6sLF8494qxvXr1MrGcPka+vmcLv9kSEREREREREVmED3uIiIiIiIiIiCzChz1ERERERERERBYpEnP2lC9f3sSbNm1y7GvZsqWJJ0yYUOD5chl3AHjooYdMHITlnrPtqquucmzLZSQHDhyY9PVr1Khh4o4dO5pYzr9TvHiR+FUPNLncoax9nT17tuc5V155pYlLly6dnoZRWrVp08bE7tdaSh+53Pr8+fMd+0qWLGnioUOHmlguJ0rBsWDBAhNPmTLFxLfddls2mkMxuOfPcm+TPXbv3l1gDADXXXedidu1a5exNlF8HnjgARNPnTrVxEuWLHEc1759exM3a9Ys/Q0ros466ywTy7kF3fOZbd682cTuJda9NG3atMDY/f6Zy99BOLKHiIiIiIiIiMgifNhDRERERE2KOm8AACAASURBVERERGSRIl/bMn78+Gw3ociRSy3369cviy2hXPLggw+a2L387AHHHXecY7tnz55pbROlxqWXXmriN99807GPpUHZIUtbZdkW4CxPvvDCCzPWJkqPunXrmvjoo4828emnn56N5hARnO99O3bsyGJLyK/KlSubePHixVlsCQFAsWLFTCw/v3CqlQiO7CEiIiIiIiIisggf9hARERERERERWaTIl3ERUW6QM+jLmILvnHPOMfF3332XxZbQAdWqVTPxmjVrstgSSje5WgwREREVHRzZQ0RERERERERkET7sISIiIiIiIiKyCB/2EBERERERERFZhA97iIiIiIiIiIgswoc9REREREREREQW4cMeIiIiIiIiIiKLKK115m6m1FYAP2bshlRTa105lRdkDjMu5TkEmMcsYF8MPvZFO7AvBh/7oh3YF4OPfdEO7IvB55nDjD7sISIiIiIiIiKi9GIZFxERERERERGRRfiwh4iIiIiIiIjIInzYQ0RERERERERkET7sISIiIiIiIiKySPFsNyBdVFhVBzAGQBUAGsAIHdLPp/geowBcCGCADunhKqx6AOgCYC+ArQBu0iH9owqrEwCMA1BLh3S5VLbBZiqsDgXwGYBSiPyuvqtDOpTie8wAUA1ALx3Sk1RYPQagBYD9ALYA6KxDeoMKqxsBPAHgex3SzVPZhqJAhdXdALoCUABe1iE9OMXXHwVnX6wJYCSAygB+AtBeh/Q69sXEMYfBp8LqJABviR8dD6BvKnNZQB4HAWgc3V0GwFE6pA9nHhPDHNpDhdW9iHxm1AAWA/inDunfU3j9GXB+vqkHYDiAQxH5nHqbDumv+fkmcXxftIcKq2IA5gJYn+p+4O6L4uf3AXgWQGUd0tvYFxOnwmo1gN0A9gHYq0M6P8XXHwVnX+wM4BkA66OHvKBD+pVc7Is2j+zZC+A+HdJ1ADQEcLsKqzp+LqDCqmIch/XSIT08Gi8AkK9D+nQA7wJ4GgB0SK/UIV3Pz70JAPAHgIt1SNcFUA/A5SqsGvq5QJw5bCdefJ/RIX16NF//B6AvAOiQfguRD2XkkwqrUxH5MNQAQF0AzVVY1fJ5Db998VkAY6J9sR+ApwD2xUQxh3bQIb1Mh3S96H+/MwH8CuA9P9fwm0cd0veKew4BMD76c+YxAcyhHVRYHQPgLkQ+M54KoBiA1j6v4ffzzdMAwtGc9cXBz6j8fJMAvi9a524ASxM5MYG+eGBQQlMAaw78jH0xaY2j71W+H/Qk0BcB4K0D7406pF8BcrMvWjuyR4f0RgAbo/FuFVZLARwD4DsflxmiwupoAK8CGFfYX1x0SE8Xm18CaO+v1STpkNYA9kQ3S0T/p31eZoIKq10AXgEwWYf03kLu+bPYLJvA/ejvTgHwlQ7pXwFAhdVMAC0R/aAZJ199EUAdAD2i8XQAE/w1mVyYQ/tcAmClDukffZ7nN49SGwApHZ1ZxDGHwVYcQGkVVn8hMmJqg8/zfX2+QeTzzGHRuEIC9yMnvi9aQoXVsQCuRGRUTY9CDi+I374IAIMA3A9gYgL3o9RL5n0xp9k8ssdQYZUHoD6Ar/ycp0O6PYBeAM4F8K0KqyEqrOrGefrNAD70cz/6OxVWxVRYLUSkpGqqDmlfOQRwEYCBAK4DsFSF1ZOF/eVFhdUTKqzWAmiH6MgeSsoSABeosDpShVUZAFcAqO7nAgn0xUWIfOgCgGsBlFdhdaT/plMUc2if1gDG+j0p0ffFaPnBcQA+9XtP8sQcBpQO6fWIjNJYg8gfJnfpkJ7i8zIXwd/nm3sAPBP9fPMsgAd8N5wkvi/aYzAiD172J3j+RfDRF1VYtUCkXGxRgvejv9MApqiwmqfCqpvvkxN7X2ylwuobFVbvRkdq5STrH/aosCqHSO3cPa5RG3HRIT1Ph/TtAP4B4AcAX0fn5ol1z/YA8hGp5aMk6JDeFx0OdyyABtFhs37O1zqkZ+iQ7ojIkHcN4HsVVq1inPOQDunqAN4AcEcSzScAOqSXAhgAYAqAjwAsRKSm1u91/PTFngAuVGG1AJEa2/WJ3JMimEO7qLAqCeBqAO8kcn4i74uIPJh4V4c0c5gCzGGwRUsGWiDy8OxoAGWjnx3jlsDnm1sB3Bv9fHMvIn/BpgTxfdEOKqyaA9iiQ3peotfw0xejDwYfBP+YnGrn65A+A0AzRKZuaeT3Aj774vsA8qIllVMBjE6w3WlnbRkXAKiwKoHIg543dEiPjz51ez+6ezgiNdJdo9tXAPg3IhM6z9Uh3SV6jeLRfTcBqIVI53w9xj2bAHgIwIU6pP9I+T+qiNIhvVOF1XQAV6qwOvDfvy+AsxEZeglEXmAPvFhP0iHdFwBUWJVG5C8gNwE4HJG63Klx3PYNAJPBIetJ0yH9KqIfLFVYPQngj+iILSANfVGH9AZE//oVfeDbSof0ztT/y4oO5tAqzQDM1yG9ORPvi1GtAdyeyn9EEcccBlsTAP/TIb0VAFRYjQfQToVVz+j+dHy+6RTdD0QeEr6Ssn9NEcX3RSucB+BqFVZXIDJ5+WEqrD5EZEJlIPV98QREHvIuUmEFRP6YPV+FVQMd0ptS/G8rMqKjJaFDeosKq/cQeSj6r+judPTF7WLzFfgr38woax/2qLBSiLwAL9UhPRAAdEivRWSiX2moiC9zXaMHIiM7ZgF4Tof0rELuWR/ASwAu1yG9Jbl/Aamwqgzgr+iDntIALkVkFnSZw0mIPFw7oJ7rGk8DuB7AB4hMrLWgkHvW1iG9IrrZAsD3Sf4zCIAKq6OiL8A1EPmg0lCHdNh1WCr7YiUAP+mQ3o/IUPWRyf4bijrm0CptEC3/Sff7YvSckwFUBPBFEm0mJ+Yw2NYAaBj9K/9viMy/NFmH9BBxTEo/3yAyR8+FAGYAuBjAiphHU6H4vhh8OqQfQLSkUYXVRQB66r+vhJWyvqhDejGAo8S5qxGZqH1b4v+Kok2FVVkAh0Tn6C2LyMTX/XRIP+Y6NJV9sZqOzA8MREbZJjS5dyZY+7AHkSe1HQAsFk/ZH9QhPdnHNb4BUM9H+dczAMoBeCf6tHaNDumrfdyPnKoBGK0iyyEeAuBtHdL/5/MaMxBZljbeibb6q8jStvsB/Aigu8/7UcHGRevK/wJwewJ/ifLbFy8C8JQKKw3gM/Cv0anAHFog+kHoUgC3JHgJv3kEIiNC3tSRSfcpScxh8OmQ/kqF1bsA5iOyeuwCACN8XmYG/H2+6Qrg+ehfr38H4HteC/obvi8S4L8vUmpVAfBe9Lt3cQD/0SH9kc9r+O2Ld6mwuhqR1++fAHT2eb+MsfZhjw7p2QBUktf4xOfxTZK5HznpkP4GkYm1k7mGn4d70CHtOZcPJU6H9AVJnu+3L74L4N1k7klOzKEddEj/AiDhCT395jF6zqOJ3o/+jjm0gw7pEJIoE0/g881sREpQKEX4vmgXHdIzEHlw4/c8X33RdW5eoudShA7pVQDiXUDJ6xp++6IZEZbrrJ+gOc12AXhMhVXM0R8qrE6Iji7anJlmkQ8/ARgVfTrrSYXVjQBeBLAjI60iv9gXg485tAPzGHzMoR34+Sb42BftwL4YfIHti0pzRC4RERERERERkTWSGtmjlLpcKbVMKfWDUqpPqhpFmcU8Bh9zaAfmMfiYQzswj8HHHNqBeQw+5tAOzGMwJTyyRylVDMByRCYJXAdgDoA2WuvvvM6pVKmSzsvLS+h+5N/q1auxbdu2mPMW+c0jc5hZ6cghwDxmGvti8LEv2oF9MfjYF+3Avhh87It2YF8Mvlg5TGaC5gYAftBarwIApdSbiCxV7dl58/LyMHfu3CRuSX7k5+fHc5ivPDKHmZWOHALMY6axLwYf+6Id2BeDj33RDuyLwce+aAf2xeCLlcNkyriOAbBWbK+L/sxBKdVNKTVXKTV369atSdyO0qTQPDKHOY990Q7si8HHvmgH9sXgY1+0A/ti8LEv2oF9MaDSvhqX1nqE1jpfa51fuXLldN+O0oA5tAPzGHzMoR2Yx+BjDu3APAYfc2gH5jH4mMPclMzDnvUAqovtY6M/o2BhHoOPObQD8xh8zKEdmMfgYw7twDwGH3NoB+YxoJJ52DMHQG2l1HFKqZIAWgOYlJpmUQYxj8HHHNqBeQw+5tAOzGPwMYd2YB6Djzm0A/MYUAlP0Ky13quUugPAxwCKARiptf42ZS2jjGAeg485tAPzGHzMoR2Yx+BjDu0QlDzu3LnTxM2bN3fsW7NmjYn79u1r4i5duqS/YTkgKDmk2JjH4EpmNS5orScDmJyitlCWMI/BxxzagXkMPubQDsxj8DGHdmAeg485tAPzGExpn6CZiIiIiIiIiIgyJ6mRPURE6bB7924Tn3baaSYuXbq047ilS5dmrE2UHtu3bzdxOBw28WuvveY47rPPPjOx/J2gzJFLqd5yyy2OfRMmTDCx1trELVu2dBw3fPhwE3O1jsxbvXq1id3lJt9+e3BEfseOHU08evTotLerqPn1119NXKtWLRNv3LjRcdxVV11l4iFDhpi4Zs2aaWwd+fXCCy+Y+PPPP/c87r///a+Ji0oZFxFlF0f2EBERERERERFZhA97iIiIiIiIiIgswjIuIsoJ69atM/G1115rYrmSRb9+/TLaJkq9TZs2ObarVatW4HHFizvfnn788UcTs4wrO2Rpz8cff+zYp5Qq8BxZ3gUA8+fPN/EFF1xg4jFjxqSiiVQIWSopy7bcZLkJpd4HH3xg4s2bN5vY3Y/kcf/85z9NzDKu3DJ9+vS4jjvxxBPT3BLya+bMmSZu3Lix7/MHDx5s4ry8PMe+q6++OuF2UXbIz5oA0KJFCxMvWrTIxO6pBtq3b5/ehiWBI3uIiIiIiIiIiCzChz1ERERERERERBbhwx4iIiIiIiIiIotwzh4KnBEjRji25RLAst59//79GWsTJS8UCpl43rx5Jj777LNNfP/992e0TZQan3zyiYmvuOIKz+PkPD0PPvigY597mWjKjO7du5tYztMjl1d3O/PMM018yimnOPbJOndZG7906VLHcXPmzPHfWCrQuHHjTDx+/HjP48qXL2/iYcOGpbVN5N+CBQtMLOe1o+xYv369iWVu3KpWrWrim2++Oa1tosL98ssvjm05547X3HOx3HPPPSYuV66cY98zzzxjYvldhXKXnJcHAL755hsTy9+PN954w3Ec5+whIiIiIiIiIqKM4MMeIiIiIiIiIiKLsIyLAk8Oq0tkCCZlh7tMY+TIkSYuUaKEifv27WvikiVLpr9hlBKffvqpiXv16mXiv/76y/Ocrl27mlguEU3Z895775lYvr5WrlzZcZwsu7v77rs9r9euXTsTd+rUycTff/+9531ZsuLf119/beIbbrjBxLHKm6+55hoTN2nSJD0NIwDAlVdeaeJq1aqZeMOGDZ7nyLIhyj653PqOHTs8j6tfv76J3a+blHnuPjZp0qS4zpOfP+US6/I19bfffnOcI6cemDhxooknT54c1z3ddu7caeLhw4eb+M4773QcV7Zs2YSuT3biyB4iIiIiIiIiIovwYQ8RERERERERkUWKXBnX7NmzHduvvvqqid0zax/gXr2Cq8Jk16xZsxzbclUYDpENjsWLF3vuq1ixoombNWuWieZQig0YMMDECxcu9Dyudu3aJu7du3da20T+yddXGc+YMcNxnHvVLS+XXXaZidu2bWviQYMGOY5r1aqVibmyon/79u0zsfzvV6NGDRP379/fcY4s46L0+uCDD0wsy0rcq9yVKlXKxOecc076G0Zxk2U5sdSsWTPNLaFMuO+++0z8+OOPF3iMXGEScH5flKtZxuvdd991bA8dOtTEn332mYllqSDgfJ+l9JArBec6juwhIiIiIiIiIrIIH/YQEREREREREVmED3uIiIiIiIiIiCxizZw9sj4dAD7//HMTy7r0adOmOY4rVqyYiatWrWpiWTctly0FnEvmXXTRRYk1mHzZunWrid3zLnHp9WBy51E677zzMtgSSpVXXnnFxLKeXKpVq5ZjW74mV69ePT0No4TNnTvXxDKn8c7RE4tcrv2jjz5y7Fu2bJmJ5bx5LVu2TPq+RcG8efMK/Pk///lPE7dp0yZTzSGXjRs3mjjW55YzzzzTxF26dElrm8gfOe9SLJx30A4XXHBBoce452eSc1OOGzfO9z3dn5NnzpxpYn7fybxKlSqZ+JZbbsliS/zhyB4iIiIiIiIiIovwYQ8RERERERERkUWsKeN67bXXHNtyqLJ03XXXObYfeeQRE59++ukm3rt3r4kbN27sOEcuDzxkyBATN2jQwEeLyQ+5nKF7aUNZcrdlyxYTy+H+r7/+uuOcMmXKpLqJ5NOKFSs898m+SLlLliIAwBNPPGHi33//vcBzQqGQY5ulW7lNLtXdvn37lF5bDomWJV0A0LFjRxM/9dRTJmYZV3xkyYDMYffu3bPRnCJv+/btju1hw4ZlqSWUbhUrVnRsy1I8yg45FcTdd98d1zkXXnihYzueMq5YWrVqldT5sbiXgufS64lzL3cv3XrrrSauVq1aJpqTEhzZQ0RERERERERkET7sISIiIiIiIiKySKFlXEqpkQCaA9iitT41+rMjALwFIA/AagA3aK13pK+ZBfv5559N/Oijjzr2yeHhPXr0MHGfPn0cx3nNZl68+MH/NJUrV3bse++990zcsGFDE7uHBg4aNMir6RmXy3mMx/fff2/iWDPQy30TJkwwcYcOHRzHySGPqVhVJhOCnkM/0rlKzJIlS0y8cuVKx74WLVqk7b4H2JTHhQsXOrZXr15d4HGdOnUycdu2bdPZpIywKYe5wv06nImVRmzOo1zN7NhjjzWxXHXUBkHJ4fLly2Nup8vYsWNNLFeSBeJf2Wfo0KEmbt68eQpbd1BQ8hiPPXv2OLZlro855phMNydjcjmHclXJjz/+OK5zypYt69jO5ekftm3blrJr5XIeM2Hq1KnZbkLKxTOyZxSAy10/6wNgmta6NoBp0W3KbaPAPAbdKDCHNhgF5jHoRoE5tMEoMI9BNwrMoQ1GgXkMulFgDm0wCsyjVQp92KO1/gzAT64ftwAwOhqPBnBNittFKcY8Bh9zaAfmMfiYQzswj8HHHNqBeQw+5tAOzKN9Ep2zp4rW+sAyLJsAVPE6UCnVTSk1Vyk1V86GTjkhrjwyhzmNfdEO7IvBx75oB/bF4GNftAP7YvCxL9qBfTHAkl56XWutlVI6xv4RAEYAQH5+vudxiQiHwyZeu3atY9+AAQNM3LNnT9/XHj58uInd9XslSpQo8JxFixY5tvft22fiYsWK+W5DJsXKYzpzGK/Zs2fL9jj2yWVlGzVqZOLXXnvNxHKeJQCYNWuWieWSv+3atXMc556vKZdlsy/GSy63PmfOHMe+vLw8Eyf7333GjBmO7fvuu8/Eci6LX3/91XFcnTp1TDx9+vSUtcePXO+L0vPPPx/XcRUqVDDxIYfYvy5AEPpirnG/rru3syFIfdE9T4j8/FGU5Wpf9Pr9dv+8XLlyhV5r4sSJju3evXubONbcQPJesebsufrqqwuM5byI6RakvvjXX385tnfv3p2lluSWXO2LXlq2bJntJuSkIPXFeP373/828c6dO7PYkvRI9FP3ZqVUNQCI/v+W1DWJMoh5DD7m0A7MY/Axh3ZgHoOPObQD8xh8zKEdmMcAS/RhzyQAB5ZX6QRgYoxjKXcxj8HHHNqBeQw+5tAOzGPwMYd2YB6Djzm0A/MYYPEsvT4WwEUAKiml1gEIAegP4G2l1M0AfgRwQzob6UUOjTzqqKMc+xIp3Xr55ZdNLIfByhIEAHjkkUdM/OOPP5r4qaeechwn6xWzvdxpLucxHl27djWxe7jxY489ZuJKlSqZ+JdffjGxe7ixXKZQlvi4y1LkfWW5VzYEPYeAs7Tgzz//dOyTywMfccQRvq8tS/Puvfdexz5ZYnnVVVeZ+P3333cc9+2335r4p58Ozk+XyjKuoOdRllTGu0RlIq/HuSzoOcxF7tfoDC29bk0eFyxY4NjesuXgH15vvfXWTDcnY4Kaw3h/v7t06VLoMfLzKuAsl451n5o1a5pYfs5dvHix5zlfffWVibdv3+7Yd+SRRxbaVi9BzON1111nYjltgNvSpUtNfNlllxV4zltvveU4J5FSkjvvvNPEHTt29H1+snI5h3fffbeJ4y0RltNCZEu85c379+9P2T1zOY+ptGPHwZXjZRnXH3/8kY3mpFWhD3u01m08dl2S4rZQGjGPwccc2oF5DD7m0A7MY/Axh3ZgHoOPObQD82gf+2fKJCIiIiIiIiIqQpJejStX7Nq1y7EtV19q0qSJiRcuXOg4Tg6RlasWFC9+8D/NuHHjHOfI673wwguebRo8eLCJ+/fv73kcFe7MM88sMI5F5m38+PGOffL3Q5alrF692nHcww8/bGJZ0hWkVbpyVSpW39m8ebOJZV925/GVV14x8bnnnmviSZMm+b5nUff444+bONbQ4dGjR5u4evXqvu/jvrYsy5TkazUAlC5d2ve9KDtkqfMTTzzh2JeJMq6iolq1atluAsWpTJkyjm1Z3iz169fPxO4Vt7z6zoknnujY/vTTT00sV/06//zzHcctWbLExPI9V65YCTjLmooC93uPF7m6r/wukOpVfzp16mRid/lft27dTPzkk0+a+LDDDktpG3LVP/7xDxOvXLkyiy0pnPyss2bNGsc+2bdlLP99FJ+ff/7ZxPJ7oFupUqVMXLt27bS2KV04soeIiIiIiIiIyCJ82ENEREREREREZJFAl3HddtttJnavqtOyZUsT5+Xlmdhd3iGHZzVs2NDEcmijLNtyO+200zz3ydVFWMaVXfL3wb0tV+a65ZZbHMfJHMrV1gYOHJjqJhYJ7777rondQ80TKdsYMGCAieVQ9qFDhzqOu+mmm0z8/fffe96zRIkSJi5WrJjv9hQF8eZJlsvFIsu1Vq1aZWJZpgB4r3bSrFkzx/bkyZPjui8dJFeLAYBTTjklI/eVK8bEej3I9kqIQeDOodSgQQMTyxKGsWPHOo6bMmWKiWVJTrt27RzHJbPqEsV26aWXOrbl51L5HienCYiXLF8HvMv7ypYtG9f1ZHk0UPTKuH7//fe4jnN/7zhAriJ8ySXec9/WqVPHxN99953ntb/44gsT//XXX47j5GciWVbtXsnNVnKl3ly3YcMGE8c71YD7uwsVzj39i5fDDz/cxO3bt09Xc9KKI3uIiIiIiIiIiCzChz1ERERERERERBbhwx4iIiIiIiIiIosEes6eevXqmfizzz5z7Pvwww9NPHPmTBOfc845juN69Ohh4vz8fN9tOOuss3yfQ7lFLvntroeW+wYNGmTi3377zXHcsGHD0tQ6u+zZsyep83fv3u3Y/uijj0ws5xmRc4G4uZeylFq1amXiWrVqJdJEK/34448mlsvwJuKnn35ybN91110mfuONN5K6NjmNHz/esf3QQw+ZeNmyZSaWr3OAc74cOdeBnOvMvTyz7H9nnnmmZ5vkNT7++GPPNlSuXNnE1157ref1KKJq1aqe++S8g+7+52XWrFkmlvPVAc45COVyzxQ/9+/7AfXr1/c8R/63lst2u68l56L8/PPPTXzyyScn1Da5LWO5dHFR5F7KPh6XXXaZiUeNGmXiWP03lj///NPE06dPN/HDDz/sOG7u3LkF7pPz9wBA27ZtE2pHrpPvOyNHjozrHDnHJJC5+Y3GjRuXkfsUdb169YrruKuuuirNLUk/juwhIiIiIiIiIrIIH/YQEREREREREVkk0GVcUu3atT23ZZlAqh1yyMHnZXJ5NgBYsWKFib/++msTy2VQKfvkcqSytAFwljPIsoKuXbumv2H0N+4yO7mM+nnnnWficuXKOY6T5V9PPvmk5/XjHd5b1MjSj3Xr1nkeJ18DZSnB1q1bTSyHsQPAggULUtFEinr88cdNPGDAAMe+X375xcTupc4luW/btm0mfvnll008YsQIz3POOOMMz2vPmzevwHPcJSayRJMKV7FiRc99XqVbVapUcWxfeeWVJi5e/ODHw9GjRzuOk8v8ynL6unXrxtdY8ux/7pJwuRT7ypUrCz0fcJZRxuqL8bbN617y829R1K5dOxOHw+G4zlm+fLmJ7733XhOPHTs2oTaULFnSxPK9VX42ApxlXHv37jWxfD0G7C3jqlmzpok7dOjg2DdmzJgCz3n99dcd261bty7weqmwevXqAu8bq6RStqFGjRopbQ8ddPXVV2e7CUkr2q/URERERERERESW4cMeIiIiIiIiIiKLWFPGlS2HHnqoiZs2berY9/bbb5t43759GWsTFU4Ok3zkkUdMHGtFmM2bN6e/YRSTuywlXp9++qmJ3Sv3SbI/k3/yNVCu8iFXPWDZVurJVbfk65m7/KJMmTImlqtnuUuo3CUAB8iSLjns3E2WDLjb4LUKkbt8gMPS06N79+4mHjhwoGNf6dKlCzxHrvgDOFcRcq+QSAU78sgjPbe3b99uYvfnjH79+pm4WrVqBZ7jJvfJ2N0Gr3N27NjheRwdVKxYMRPLcip3f5Huv/9+E19//fVJt+H33383sSzhfe655zzPqVChgonPPvvspNsQBHXq1DGxu5RffiaUK4/GmjYg1WVc8v1v6dKlJo5Vril/f+T7OcVHlvNNnTo1iy1JP47sISIiIiIiIiKyCB/2EBERERERERFZhA97iIiIiIiIiIgswjl7UijWHAPTpk0z8TnnnJOJ5pAga2AB4L777jOxnIfCXR/72muvpbdhRYycryPWkpJeZs2a5XlO586dTSyXqAWAu+++28Ry3hL3ksKUnOnTp5u4d+/eJv7Xv/6V0vucddZZJpa5LaqeeuopE8vXMDlPAQA89thjJr722mt936dHjx4mHjx4sGOf19wC8S7xPnHiRMe+hx9+2Hf7qGAlSpQwcZMmWVy0tAAAIABJREFUTUzsNUePm3s58Dlz5qSmYUXIiSee6Ni+8cYbTfziiy96njdjxgzf99qzZ0+Bcaw5e+SS4DKOpUuXLr7bZpPjjz/exC+99JKJb7nlFsdxcg4fOT/MNddc4/ue8rsEALzwwgsmnjBhQlzXePXVV03cqlUr320IuqOPPtqx/c9//tPEjz76qOd5W7duTVkbZA4AYMmSJXGdd/jhh5v4jjvuSFl7iqKi9P2OI3uIiIiIiIiIiCzChz1ERERERERERBZhGVcKlS9f3nMflyfNLXKpYVkadNlllzmOk0tJU/LkkOFnnnnGsW/9+vUm/umnn0x8xBFHmNhddiDLQGTZh7skbNeuXSYeM2ZMge0hb3LocNWqVU28adMmx3FymPPTTz+d1D3dr6eyTE8uMXvYYYcldR/byN/9Cy64wLHPq3RLLjcLOF8Tn3jiCRMvW7aswPvEaoN7WXeZO0kuCQ44S9DcS+DS38l+CQBly5Y1sfxvmchr3m+//ea5LcuMzj//fN/XLqruvPNOE7/++usm3rlzp+O4P/74o9BrufuifC994IEHTCxLxwCgRYsWJp45c6bn9aRjjz3WxOeee26hbSsq5PtT3759HfvWrl1r4rFjx5pYTi/Qvn17xzmyX8klv3/44QfPNsQq4X3ooYdM7P6cW9TJz46xyrhkybictqNRo0a+79m1a1fHdqxyZ6ljx44FtoEoFo7sISIiIiIiIiKyCB/2EBERERERERFZpNAyLqVUdQBjAFQBoAGM0Fo/r5Q6AsBbAPIArAZwg9Z6R/qamvuOO+44z33NmzfPYEucmEPglFNOcWzLYbFy+OSDDz6YsTb5ZUMe5dBi9zDjb7/91sSyBKh///4mdq9gIIcjy5KiQw891HGcnHX/uuuu89vslAlqDuVrW6dOnUw8YMCAlN5Hlum98cYbjn1XXXVVSu+VjFzOo3w9e++99xz75s6dW+A5a9ascWzLFQplSUesoeayP/fp08fELVu2dBwnV8OT8vPzPduQDrmcw0TUrl3bsZ1seeP+/ftN3KFDB8e+VatWmfikk05K6j7JCmoe5epccpW7UCjkOC7e8g6vc9566y0TL1iwwHGcLCOSK67Fuue9995rYvcKY4kKag69yM+XgPMzx4cffmjihQsXFhgn6uqrrzZxvCtzpVJQ8yh/3wcNGmTie+65x3Hcjh0Hm3zRRReZWL5WusnPrLJ0K57VZwuS7lLZoOaQYotnZM9eAPdpresAaAjgdqVUHQB9AEzTWtcGMC26TbmJObQD8xh8zKEdmMfgYw7twDwGH3NoB+Yx+JhDCxX6sEdrvVFrPT8a7wawFMAxAFoAGB09bDSAa9LVSEoOc2gH5jH4mEM7MI/BxxzagXkMPubQDsxj8DGHdvI1Z49SKg9AfQBfAaiitd4Y3bUJkSFfBZ3TTSk1Vyk1V67UQtnBHNqBeQw+5tAOzGPwMYd2YB6Djzm0A/MYfMyhPeJeel0pVQ7AOAD3aK1/ljWOWmutlCqwAFFrPQLACADIz89PrEgxICpVquS5Ty6t6V4ON1OKcg7dy/1u2bLFxBdeeKGJs5UbP4Kcx3LlypnYPT9Su3btTPzcc8+ZeOTIkSbeu3ev57Xr1atnYvdcMk2bNvXf2DQKcg779etn4j179jj2DR061Pf1SpQoYeJx48aZuFmzZgm0LrNyJY9z5swxsXw9k0uoA8DmzZtl22V7HMfJfXKOHTn/zjXXOP+w556bxy/3MrKZWlY2V3KYTtu3bzfx7t27TVy+fHnHcfL34LHHHjPxBx984DhOzq908cUXp6ydyQhyHh955BETlyxZ0rFPzqUjl/BOxPLlyx3b8j041jw9cm6e1q1bJ9WGWIKcQ8k9L9mbb75p4vHjx5v466+/NrFckh0A6tevb+KTTz7Z815ynp5LL73Uf2PTIMh5lHMSXnnllY59cs6dmTNnmlj2D3c/2rhxo+c+Se7Ly8sz8ZQpUxzHnXDCCZ7XSKUg5zBejRs3NvHUqVM9j5Pvf/J7fsOGDdPTsDSIa2SPUqoEIkl/Q2t94JVqs1KqWnR/NQBbvM6n7GMO7cA8Bh9zaAfmMfiYQzswj8HHHNqBeQw+5tA+hT7sUZHHea8CWKq1Hih2TQJw4BFoJwATU988SgXm0A7MY/Axh3ZgHoOPObQD8xh8zKEdmMfgYw7tFE8Z13kAOgBYrJQ6sDbggwD6A3hbKXUzgB8B3JCeJgbHihUrst0EL0Uyh3K4rLusR5Y6DBw4EAFhVR7btm3r2JZD1OWS0XKoc4MGDRznyNIROfy2SpUCy4lzQeBzKMsMBg8e7Ngn+9mtt95q4tdee83zenKIbK4MQ49DzuZR/reWyyQDzn4lh2U3atTIcZws75DlVLHKCQIoZ3OYCjVr1jTxl19+aWI5j4J7yWBZpvDOO+94XnvIkCEmPvLII5NqZwpYlcfevXs7trt06WLif//73yaePHmyiWfMmJHQvWQZX9++fU184403eh5XoUKFhO5VCKty6HbYYYeZuHPnzgXGL774YgZblDaBz6P8/Xb/rssSqkWLFpn4hx9+MHGsUq1YZOmWfA3IVNmWEPgcxkt+Z5BTEKxfv95xnHzdldNFBKmMq9CHPVrr2QC8fnsvSW1zKB2YQzswj8HHHNqBeQw+5tAOzGPwMYd2YB6Djzm0k6/VuIiIiIiIiIiIKLfFvRoXFS5WGdcVV1yRwZYQ4JzF/pdffnHsK126tInPOOOMjLWJvMmhq+6h7JSbihcv7rk9ZsyYAmNKL1l2JVc3o6Lliy++8H3O22+/nYaWUDJkmVzPnj0LjIko/V5++WUTd+jQwcQvvPCCiWO9515//fUmPv/88x375PXSVCpJLtWqVTOxLHFv0qSJ47ju3bub+JZbbkl/w9KAI3uIiIiIiIiIiCzChz1ERERERERERBbhwx4iIiIiIiIiIotwzp4k7du3z8RLlizxPO6oo47KRHPIQ506dRzbsZaCJiIiIiIicmvUqFGBMQVTfn6+iXfu3JnFlqQHR/YQEREREREREVmED3uIiIiIiIiIiCzCMq4kydKtGTNmOPYdf/zxJuby3pk3fPjwbDeBiIiIiIiIKOM4soeIiIiIiIiIyCJ82ENEREREREREZBGWcSXp5JNPNnHTpk0d++QKUKVKlcpYm4iIiIiIiIio6OLIHiIiIiIiIiIii/BhDxERERERERGRRfiwh4iIiIiIiIjIIpyzJ0lyLp6PP/44iy0hIiIiIiIiIuLIHiIiIiIiIiIiq/BhDxERERERERGRRZTWOnM3U2orgB8zdkOqqbWunMoLMocZl/IcAsxjFrAvBh/7oh3YF4OPfdEO7IvBx75oB/bF4PPMYUYf9hARERERERERUXqxjIuIiIiIiIiIyCJ82ENEREREREREZBE+7CEiIiIiIiIisggf9hARERERERERWaR4thuQTiqs7gbQFYAC8LIO6cEpvv4oABcCGKBDergKq5oARgKoDOAnAO11SK9TYXUCgHEAaumQLpfKNlhNqZMAvCV+cjyAvtApzKM6mENoPVz8vBWAdwGcBa3nQqkLALwEYD+0PjVl9y8iVFgdDuAVAKcC0ABu0iH9RQqvPwqiL0Z/dgOAR6P3W6RDui37YuKYw+BTYVUdwBgAVRD5bzpCh/TzKb7HKDjfF3sA6AJgL4CtiPze/Mg8Jo590Q7MY/Axh3ZQYXU5gOcBFAPwig7p/im+/gwA1QD00iE9SYXVEYh8v8kDsBrADTqkd6iwuhHAEwC+1yHdPJVtsJ0Kq5EAmgPYokOp/55WwGebRgAGAzgdQGsd0u9Gj8u5vmjtyB4VVqci8qCnAYC6AJqrsKrl8xoV4zis14EXYADPAhijQ/p0AP0APAUAOqRX6pCu5+feBEDrZdC6HrSuB+BMAL8CeM/XNVR8OXQ96CkP4G4AX4m2zAJwha97k/Q8gI90SJ+MSH9c6udkv31RhVVtAA8AOE+H9D8A3AOwLyaJOQy+vQDu0yFdB0BDALersKrj5wIJvC8uAJAffV98F8DTAPOYJPZFOzCPwcccBpwKq2IAhgJoBqAOgDZpel9sp0N6UjTuA2CaDunaAKZFt6FD+i1E/jhC/o0CcHmiJyfw2WYNgM4A/iMPyMW+aPPInlMAfKVD+lcAUGE1E0BLRD9oxmmICqujAbwKYJwO6d8LOb4OgB7ReDqACf6aTDFcAmAltP7R53lDoA7mELrQHALAYwAGAOjl815UABVWFQA0QuRFETqk/wTwp8/L+O2LXQEM1SG9I3rPLT7vRwJzaAcd0hsBbIzGu1VYLQVwDIDvfFzGVx51SE8Xm18CaO+v1SSxL9qBeQw+5tAaDQD8oEN6FQCosHoTQAv4e1+coMJqFyKjvCbrkN5byPEtAFwUjUcDmAGgt4/7kYsO6c9UWOUlcQm/n21WA4AKq/1J3DMjrB3ZA2AJgAtUWB2pwqoMIqMyqvu5gA7p9oh84T8XwLcqrIaosKob45RFiDxQAoBrAZRXYXWk/6ZTAVoDGOv7LO3MIZQaAhUjh0qdAaA6tP4gwXbS3x2HSPnGv1VYLVBh9YoKq7J+LpBAXzwRwIkqrD5XYfVldIguJY45tEz0Q1F9yBGMcUggj9LNAD70cz/6G/ZFOzCPwccc2uEYAGvF9rroz/y4CMBAANcBWKrC6slCqkmqRP/4AgCbECmtpixK8rNNTrP2YY8O6aWIjM6YAuAjAAsB7EvgOvN0SN8O4B8AfgDwdXQOgoL0BHChCqsFiNT1rU/knuSiVEkAVwN4J6HztZ4H7cwhVAE5VOoQRF6s70u4rVSQ4gDOADBMh3R9AL8gOmTVD599sTiA2oi8AbcB8HK0tp4SwxxaRIVVOURqyu/RIf2z3/N95vHAPdsDyAfwTAJNpoPYF+3APAYfc0gAAB3SWof0DB3SHRGZdkID+F6FVat4zo0eT1mWyGebILC5jAs6pF9FZDgWVFg9CeAPFVYLo7uHIzIRV9fo9hUA/o3I09W5OqS7RM8rHt13E4BaAPoCeN3jfhsQHdkT/TDdSof0ztT/y4qcZgDmQ+vNUKo6gPejP4+ZQ+hIDqHizmF5RCbZmwGlAKAqgElQ6mpoPTcN/66iYh2AdTqkD4wgeBfAo+nsi9F7fqVD+i8A/1NhtRyRD0hzUvkPK0KYQ0uosCqByIOeN3RIj1fh+F9TE8wjVFg1AfAQgAt1SP+R8n9U0cK+aAfmMfiYQzush7Py41gAW0Ue+wI4G8CV0e0zAcyLxpN0SPcFABVWpRGp6rgJwOGIzP051eOem1VYVdMhvVGFVTUALMdLsUx8tgkKqx/2qLA6Sof0FhVWNRB5CNNQh3TYddhQEV/mOr8HgDsAzALwnA7pWYXcrxKAn3RI70dkArWRyf4bCEDkrxeREi6t1wJwT3zlmcPoCB6Tw+hEywXTeheASuLcGQB68kFPcnRIb1JhtVaF1Uk6pJchMv/SfB3S7jmRUtYXEZkvqw0iw6srITL0eVUy/46ijDm0gworhf9n787jrpr2P4B/lqRSEZpJpQnlVnS7yVAkhZSiZKiI+JnDjRROp0SZcglJ8ZSbBoWSbmUomYkMkYRmKpTMDVq/P85p9V3bc86z95mes9fzeb9e93W/+9nTyre1n3N267tW7B9AlumIvh8AdCTYMzWF34vNEVvJsCPnl0gf+6IbmMfwYw6d8T6ABiqq6iL24qcngPM93xdnIfYPFrtZvzNVVN0NoDuAFxGbxHdJEfecBaAPgBHx/5+Z1p+A/ibbn23CxOmXPQBmxOfM2QHgqhRG2XwCoFmAYe5tAdylokoDWATgqoD3Iy+lygNoD+DyFK/wCYBm0MFLFSijrgEwSUXVPoh9MLk44PlB++I8AKeqqPocsVLKATqifwx4T7Ixh+F3HIBeAD4V/2o5SEf0nADXCJrHewBUAPCMiioAWKMjunOA+9HfsS+6gXkMP+Yw5HRE71RRdTVi/21LAXhCR/RnAS+zEMDtPibY3m0EgGkqqi4BsBpAj4D3Iw8VVZMR+x5eWUXVOgCReIWPX4H6ooqqfyK2QvQBAM5UURXVsRXy8o7TL3t0RJ+Q5vkvBzx+OmLDOClTtP4NQOqTXOtgOfSc2zblc8miI/ojxObrSPX8oH1RI7YyXuhrbfMFcxh+OqLfAKDSvEbQPJ6Szv3o79gX3cA8hh9z6Ib4P3gE+UePws4PcvyPiI0EowzREX1emucH7YvvI1byl/ecnaA5R7YCGKai6v+SHaSiql78X1E35qZZFMBWAMOgkucQSp2AWO3nD7loFAXGvhh+zKEbmMfwYw7dwDyGH3Pohs0AClRUJR3VqqLqXACPANiSk1ZREKHti0prTgBOREREREREROSKtEb2KKU6KqWWK6W+UkoFXm6Q8gPzGH7MoRuYx/BjDt3APIYfc+gG5jH8mEM3MI/hlPLIHqVUKQBfIjZ57jrEZjM/T2v9eeaaR9nGPIYfc+gG5jH8mEM3MI/hxxy6gXkMP+bQDcxjeKUzQXNLAF9prb8BAKXUFABdACRMeuXKlXWdOnXSuCUFsWrVKvzwww9FTcYZKI/MYW5lI4cA85hr7Ivhx77oBvbF8GNfdAP7YvixL7qBfTH8kuUwnZc9BwNYK7bXAfiX9yCl1GUALgOAQw89FIsXL07jlhREixa+FggoMo/MYfHJVA4B5rE4sS+GH/uiG9gXw4990Q3si+HHvugG9sXwS5bDrK/GpbUeq7VuobVuUaVKlWzfjrKAOXQD8xh+zKEbmMfwYw7dwDyGH3PoBuYx/JjD/JTOy571AGqJ7UPiP6NwYR7Djzl0A/MYfsyhG5jH8GMO3cA8hh9z6AbmMaTSednzPoAGSqm6Sql9APQEMCszzaIcYh7Djzl0A/MYfsyhG5jH8GMO3cA8hh9z6AbmMaRSnrNHa71TKXU1gHkASgF4Qmv9WcZaRjnBPIYfc+gG5jH8mEM3MI/hxxy6gXkMP+bQDcxjeKUzQTO01nMAzMlQW6iYMI/hxxy6gXkMP+bQDWHP47Zt20zcrFkzE//1118m/vDDD61zKlSokP2G5VDYc0gxzGP4MYduYB7DKesTNBMRERERERERUe7wZQ8RERERERERkUPSKuMiIiIiovxyzz33mPiLL74o9JgpU6ZY25deemlW20RERES5xZE9REREREREREQO4cseIiIiIiIiIiKHsIyLiIiy6oMPPjDx888/b+0bNmxYrptD5Jy5c+da29FotNDjlFImPvnkk7PaJiKisPruu++s7fHjx5v4zjvvNPGff/5p4qOOOso6Rz6HzzrrrEw3kcgXjuwhIiIiIiIiInIIX/YQERERERERETmEL3uIiIiIiIiIiBzCOXvS9MILL5i4S5cu1r5OnTqZeNasWTlrExFRvpK17gCwePFiEz/11FMmrly5cs7aRBR2c+bMsbZ37txZ6HGPPvqoiQ877LCstonIJTt27LC2P//8cxNPmjTJxLVq1bKOW758uYlbt25t4gsuuCDhveT3icGDB5vY+3uxbt26RTWbAvjqq69MfM0111j75s+fX+g5ch60pUuXWvt69epl4oKCAhOfffbZ6TSTKBCO7CEiIiIiIiIicghf9hAREREREREROcTZMq5FixaZOBKJmFiWCQDAIYccktZ9pk6damI5lK+wbcpPt912m4nHjRtn7fMuvUhEickl1m+44QYTy+ex97koz2ncuLGJjzvuOOu4//73vybed999028sUci9/PLLJvZ+tpEqVapk4jZt2mS1TUSu6tixo7W9YMGCwNd45JFHTJzsO4Kc+kHGBxxwgHXcvffea+KLL744cHtKol27dlnbTz/9tInl94HVq1dbx6Xyne63334z8TPPPGNilnFRLnFkDxERERERERGRQ/iyh4iIiIiIiIjIIc6WcW3atMnEsoSgc+fO1nFvvvmmicuVK+fr2nJm/bfeeivVJlIWtG/f3sRydYSqVatax23ZssXEDz30kIlZHuLfH3/8YWK5Kp13taWPP/7YxP379zfxqFGjstg6yoVly5ZZ26effrqJf/jhBxPL4c/eodCJjnv++eet4+666y4TDxs2LMUWU1A//vijiT/77DMTyyHpgF1G1LRpUxPLFWsA+7nx4osvmpjlRf5orU08efJkE//0008Jzxk6dKiJDz/88Ow0jLLu008/NbH3+Si9+uqrJj755JML/Tlgl63Xq1cvcHt+//13a7tdu3Ymfuedd0zsfV7feuutge9VXOTnl7fffrsYWxIjP7sCwMCBA03MMi5/7rnnHmt70KBBhR7XsGFDa/vKK680cc2aNQs958Ybb7S2165da2LZJ37++WfruP322y9Ji6k4/frrryYeM2aMie+//37rONk3ZT7lcxv4+/fR3davX29tlypVysTVq1cP0OK/48geIiIiIiIiIiKH8GUPEREREREREZFD+LKHiIiIiIiIiMghzs7ZM2DAgEJ/LutvAWDHjh0m9jtnz/fff29i79J8lH1yKUPAXpL5zz//NPHeeyf+6z1+/HgTb9261cScs8e/L7/80sQ9e/ZMeJych+XRRx818bvvvpudhmXIHXfcYWI57wHt0bt3b2tbzpUm8y7navLO89OvXz8TH3HEESb2zuEyfPhwEzdv3tzE3bp1C9ps8vjoo4+s7QceeMDEcl67r776ytf11qxZY2I5J5NX165dTbxkyRJrX+3atX3dq6T59ttvTfzEE08kPK5MmTIm9i4ZTfnL2w9Gjhxp4meffdbEO3fu9HW91157LeG+Cy+80MR+56P55ZdfTCznaAPs3+mpLFOdj+QcY3Xq1LH2HXTQQSauUaOGieXcRQBQv379tNpwww03mNg7/wf5M2/ePBPffvvtCY876qijTOyd4+rAAw8s8j7RaDThPjl/j5z7BQAqVKhg4iZNmpj4xBNPLPKelFneuXNGjBhh4sWLF5u4e/fu1nEyv3KOnV27dlnHffDBByaW851u27bNOk4+7+VcwangyB4iIiIiIiIiIofwZQ8RERERERERkUOcLePKpttuu83XcY0bN85yS0oOObxNDj0GgLlz55pYDr/zM+SScmv79u0mlstQ5qPBgwebWA4BBkr2MpmyDOuLL76w9smh+0ceeaSJvUtU+iGX8gbskoE+ffoUeh+AS0v7JZcT9Q4Vl6UakiyN9f5379y5s4nPPvtsE5966qnWcbIMWi5VmuieZJsyZYqv42RJZIMGDbLVHMqARx55xMTepZu9Q/szSZYkzJkzx8StWrWyjnvwwQdNfN9995nYW1IvyWdFy5Yt02pncZL/Ld5//31rX+nSpU28zz77ZK0Nb731lomfe+45a5/8XRiJREycrJyopJDTOkydOtXEcvoOrxNOOMHEfr9DyH4g7wkAWutCzxk4cKCva3fp0sXaltNWlC9f3tc1KJjXX3/d2r7oootMPGrUKBN7pwrZvHmziWWfrVixonWcfIfwv//9z8Te0tdbb701QKuT48geIiIiIiIiIiKHFPmyRyn1hFJqk1JqqfjZgUqpl5RSK+L/f0B2m0npYh7Djzl0A/MYfsyhG5jH8GMO3cA8hh9z6Abm0T1+yrgKAIwGMFH8bCCAV7TWI5RSA+PbN2e+ef4988wz1rZcAUQOtbzyyiut47K5+tIVV1yRtWunoAAhyGMio0ePNvHLL79s7ZMzlvsddum9xm6HHnpoCq3LmQLkUQ73339/E8tVKX788cdc3D7r5MoicsUowB4SnIIC5FEeg5Jlk95h/PJ5On369LTu06FDB2t76VLzucMqIZo0aZJ13LBhw9K6r08FCGEO5Uo/8veTt4RK9m252tktt9xi4mSlQXJ1Plm2Bdi/j/2ugJlFBQhZHseNG+fruBK0AlcBQpZDrzfeeMPE2Szb8vrrr79MfP3115u4atWq1nFyRb5kZCnTtGnTTOwt5UygAHmex+Iqm5Gl0/KzMGCXCa1bty5nbUqgAHmUw/nz55t4woQJJvY+G2WZ/tdff+3r2rJcS5b5fPPNN9ZxsjQnlRXqZs6caW1ffPHFJpal7nL1xQwoQB7lMZPee+89E8v/fv/6179M7F1lUE7bkGyVZ/m5adasWSaWOQPsEvrTTjvNxMccc4x13NChQxPeK6giR/ZorRcB2Oz5cRcAu3vOBABnZaxFlBXMY/gxh25gHsOPOXQD8xh+zKEbmMfwYw7dwDy6J9U5e6pprb+LxxsAVEt0oFLqMqXUYqXUYu+/8FGx85VH5jCvsS+6gX0x/NgX3cC+GH7si25gXww/9kU3sC+GWNoTNOvYGMLCpxuP7R+rtW6htW5RpUqVdG9HWZIsj8xhOLAvuoF9MfzYF93Avhh+7ItuYF8MP/ZFN7Avhk+qS69vVErV0Fp/p5SqAWBTJhvll6yZfPTRR619v//+u4nlPCypLAHs1aJFCxMvWrTIxG3btrWOk/V7eSov8piIrD9++OGHTSyXlAXsmsdEXnnllaTbu8n5KUKi2HJYp04dE69YscLE3jl7Jk+enNZ9zj33XBMfcEDiOeHkHAGNGze29pUqVcrE3mWm/ahZs2bgcwLK674oLV++3MTeGvRBgwaZONNLoMt+L+/rXf69GOV9DuXvPzknlddjjz1mYtn/kpHLOC9YsCDhcdWq7fkHQbnsaN26dX3dJwfyOo/epX0Tad++feBry7kEZsyYYeJEc9wB9t+Po48+2tqXg+dmInmdQwD45JNPTOxdTjsR+d9aPmsrV65sHSd/H8tzNm7cmPDa8hwZJ3PcccdZ2zfccIOJO3fu7OsaRcj7PGbK7Nmzre3hw4ebWP6O27p1q3WcnC/xoYceylLr0lJsOTz44INNLJcw935flM8pOX9P9+7drePkHHNy7kK/81TK747eOQ1fe+01E8uluVevXm0dJ5/Lkvz8myV53RflUvZTpkwxsfd7eDS/ZtcxAAAgAElEQVQaNbF8Rsk5CP3O/eqdX03O7Snn9dy+fbt13F577RlnI3N97LHH+rpvKlId2TMLQJ943AfAzCTHUv5iHsOPOXQD8xh+zKEbmMfwYw7dwDyGH3PoBuYxxPwsvT4ZwNsAGiml1imlLgEwAkB7pdQKAKfEtymPMY/hxxy6gXkMP+bQDcxj+DGHbmAew485dAPz6J4iy7i01ucl2NUuw20J7KqrrjKxHALn1bJly4ze96WXXir0594hWHK5Numjjz6ytmXJWevWrdNsXeHyOY+JjB071sQrV6408X333Rf4WnKJPQDYuXOniatXr27ivn37Br52ruRzDitVqlRoDAC33nprTtpw5ZVXmvjbb7+19vlc+tUil7KUw9PTlc95DEou+wr8vZwgF/f1DmuWpbWplOz5vH8ocugtcXvmmWcKPU4uHQsAZ51V+EIbctiyd8n7m2/eswrrDz/8kLBNrVq1MnGTJk0SHpcLYcmjH7JcHQCaN29e5DmylAgAhgwZYmK/pUX//e9/TVyrVi1rnyw1+r//+z9f1wsqrDm8++67TZxsufV33nnHxLJMLtkSwPL52LVrVxOPGTMmcDsBoGLFiiZ+8sknTewtFZTHBRXWPAb1xhtvmPiRRx4xsSz7AP7+uzWRf/7znybed99902xdevIth7LErVmzZib2uwS697NFKkunyyW95XLc3vlsLrzwQhPL75Le6UHkZ9vXX389cHv8yLc8+lGjRg0Ty3JVbxmcfB7K0nFZvpeMLH+/9NJLrX1Lly41sfz7dvvtt1vHyT57yCGH+LpvutKeoJmIiIiIiIiIiPIHX/YQERERERERETkk1dW4io0cdjxnzhxf5yRbleKnn34ycenSpU1cvnz5FFqX2KpVq0wsV5YC7Fn458+fb+Kjjjoqo20IG5kbOSTu9NNP93W+nCFfrhQD2KUEcrb2XJWhUOatX7/exAMGDLD2ff75576uIZ8BDz74oIm95QklmSzv8A5r9q6Uly3yvt42HHnkkTlpQxjIclUgcbmId4UXuYLee++9Z2I51Pmbb77x1QbvyhbeklrKDG8Jh1yBUNqyZYuJ5QomgL06muTtY7IEQa4OtnbtWuu4a665xsSyHCHTK/WF0bJly3wdJ/tmotItbwlCJBIxsey/fnmnICgoKDBxohJPSkw+d88880wTe5+7fnj74vjx41NvmOPkirGylMb7e/HGG280cSrTRCRa9QuwV3/yu8pTvXr1TDx48GBrn5y+ZPPmzSb2tlv+mUqC6667zsQyB94VCPv372/iDz/80MSy3E6WJgP2e4cHHngg4bUluTLe8ccfn7TtucCRPUREREREREREDuHLHiIiIiIiIiIih4SujOvnn3828aZNm3ydI0s65LAtAPj6669N3KhRIxPLEg6/vENp5RA7OTx6zZo11nFytTDvDO0lmRz62rBhQxPLVZKSGT58uIm9q8PIYZLJVsKg/CZXe3n22WdN/OWXX/o6v2zZstb2hAkTTNy9e/c0W+cOuTKefO56y7ZOOOGEnLQn2UolLMXcQ642AdgrNC1ZssTE3pWX/K7E5Ie37MPb5ygzvCuv/fLLLyaWZTmyjOTNN99MeL2qVauaWA5JB4AePXqYWJbztWtnL9Yiy9dffPFFE7OMCzj33HNNLPuiV8+ePU386aefmlg+A70rnXlXoElErpz52GOPmbhp06bWcfLzFwUn/9umUroleVfdk6uddujQwcSdO3e2juNzdw9vOaRcGU9OD/LZZ58lvMZll11m4lRXufPDWwIk+/2OHTtMLJ+vQMkr45Jk+Z6MAeDtt9828cyZM00sP6ecccYZvu7jnWqlV69eJj7mmGN8XSNXOLKHiIiIiIiIiMghfNlDREREREREROQQvuwhIiIiIiIiInJI6ObsqV69uonr169v4hUrViQ8R9bIJqutfOmll0w8evRoE3vnh/AufbjbBx98kHR7N7nsNwC8+uqrJmZd7R7VqlUz8csvv2xi7/KucsnZSZMmFRo//vjj1jk333yziWvXrp1+YylrZF3ysGHDrH1yGUS5BLBfl156qbUta96pcPL5t3z58mJvQ6LnMQHly5e3tuVS25dffrmJZR8DgNKlS5tYzil32223mVjOcQcADRo0MHG681JQ+qZMmWJiOXfTxx9/nPAcOWfgCy+8YGL5d8DrsMMOM/GQIUOsfRdddJGJR4wYYWK5TC6QeElxl/Xu3dvEQ4cONfHvv/9uHbdlyxYTn3baaYUel2yOnoMOOsjE55xzjrXv2muvNbF3/jXKnMaNG5tYLgst5wzxy5vrJ598stB45MiR1nFy7lJKLNlni7Zt25rYO49Ztsg50YDEn3e885LK+W3lnG0lnZxz0rvEuh+jRo0ysfwMBQDlypVLvWFZxpE9REREREREREQO4cseIiIiIiIiIiKHhG7srCzdmj17ton79euX0vXeeecdE3uHsifit2xADp+Vy+fJZRgBlm4lIocVr1y50sStW7e2jitVqpSJ5RDXSCRi4k6dOlnn3HTTTRlrJ2WeLA+SpQDvvvtuSteTy3HLcgK5rC1glwTSHnJJ9WTLnmfT999/X+xtCDu5ZHa3bt1M7C0NqFevXpHXmjFjhrX9xx9/pNk68kMusy3L8rxkyZ0ssfv1119N7P0sI5cTTla6lUiyYeyyzGDixInWvr59+wa+V9jJKQlkOYAsE/CSS68nIz97yv/WsgyMcqddu3YmPvnkk028c+dOE3/++efWOUceeaSJn3jiCRN/+eWX1nFLliwx8cKFC00sl2QHgDZt2pg4lb5NQNWqVU0sS52zaf78+b6Ok891ANi2bVs2mhM68nMjYH+W9fYlP1q0aGHifC7b8uLIHiIiIiIiIiIih/BlDxERERERERGRQ0JXxiXJocly+GIQ06dPN7EcUil5SwYGDRpk4jVr1iS8tizX6tq1a0rtK8nOO+88E8synG+//dbX+bJ0680337T2yTKhOnXqpNhCyiS5Sowcgpxq6ZZ05513mrgklgxkUnGthHXXXXcVel853J38kysg+SnbAuxSHG8p7Pbt200sh7t7V6yg9MjVfJKVccmyuk8++aTQY84//3xr+4477gjcnoKCAhPLPppMr169At/HZbVq1Urr/GbNmlnbw4cPNzFLt/KL/N0lS4GaNm2a8Jxkz1DZt+Xfg732sv8tn6vOhpPf7zve7zFyZcWSQP6+k+XI3jI4uRqXXEmyRo0aJu7YsaN1jlwF+IYbbjDxe++9l0aLc4sje4iIiIiIiIiIHMKXPUREREREREREDuHLHiIiIiIiIiIih4R6zp5MOOeccwKfM3LkSF/HySXaKD3t27dP63w5R49XKn8HKDU7duww8YMPPmjte+6550z81ltvpXWfU045xdrmHBHpOeKII0ycbNlzucxlujXjH3zwgbX9wAMPFNqGZPOWUGZ9/fXXJv7mm28SHte7d28Tc5nfzGrUqJGJe/ToYeJp06YFvpZ3PgM5H0HDhg1NLOdDAIDx48ebWP6d+PPPPxPeq3Hjxib2zidS0vmdl0M64IADTOzNff369dNuE4WDnGtE2rVrl7W9fv16E1erVi2rbaL0TJ482cTPP/+8tS/RPIlyjlNXyd8vck5cwP6d9Omnn5q4TJky1nFyPtArrrjCxDVr1kx43ylTpph45cqVJt64caN1XD73K/7GJSIiIiIiIiJyCF/2EBERERERERE5pMSXcVHJUKFChYT79t9//xy2pGST5VkDBgxI+3odOnQw8c0332zi5s2bW8d5h3JS6rp162Zi7xBjufTy/fffH/jay5YtM7FcPhhIPHyZS6/njt9yE5YwZ4/sB08//bSJvctv33777SbeuXNnodeSZZcAMGrUqLTatvfe9kfKY4891sQzZswwcalSpdK6jwueffZZE8sSVb9kaTvLttz2+++/m/jxxx+39s2aNavQc7zl1lu3bs18wxwkl7m/5pprrH2yXLJ///4mbtWqVeD7eJ/JCxYsMPHVV19t4mRl81WrVjVxv379ArchDJYuXWrinj17mvizzz6zjttnn31M3KBBAxNPmjTJOu6f//xnkff88ccfre3ffvvNxJs3bzbxhg0brONYxkVERERERERERDlR5MsepVQtpdQCpdTnSqnPlFLXxX9+oFLqJaXUivj/H1DUtah4MIduYB7Djzl0A/MYfsyhG5jH8GMO3cA8hh9z6CY/ZVw7Adyotf5QKVURwAdKqZcAXATgFa31CKXUQAADAdyc5DpUfEp8DufOnVvcTciEUOZRDoGUwzD92m+//Uwsh9gCwJ133mnikJQGhDKHkizHkKv3AMB///tfE8uh58OGDTOxd5Uu+fdDDrmVq7MBdvmKHMIrVwrLodDnMRWy9MQBoc+hfObdcsst1j45/H/w4MFZa4Ms1TrrrLOsfTfddFPW7iuEMo933HGHiROV2ZUgocxhKuTKdnJ1oYcfftg6bubMmSZeu3atiTdt2pTw2rKUZcyYMda+k046KXhjgwt9HmUJkPKUjstt+d8zEomYuF69etY58jksVy6cM2eOdVyiFWiTteHGG28s9Jw05VUOO3bsaGK5olzTpk2t4+Tvmnbt2pn4wAMPtI6TfU5+RpUl6mPHjrXOkb8/ZT69uc5nRY7s0Vp/p7X+MB7/AmAZgIMBdAEwIX7YBABnFX4FKm7MoRuYx/BjDt3APIYfc+gG5jH8mEM3MI/hxxy6KdCcPUqpOgCaA3gXQDWt9XfxXRsAFDozkVLqMqXUYqXUYu9kgJR7zKEbmMfwYw7dwDyGH3PoBuYx/JhDNzCP4cccusP3yx6lVAUAMwD011r/LPfp2LimQqcM11qP1Vq30Fq38A7fp9xiDt3APIYfc+gG5jH8mEM3MI/hxxy6gXkMP+bQLb6WXldKlUYs6ZO01ruL9jcqpWporb9TStUAkLiQlIodc+iGMObx0UcfNfHGjRsDny+XShw5cmRG2lScwpjDRLp27WptyyWE5RKx8+bNM3HlypWtc+ScPcuXLzext1ZdLrFeTPP0WFzKYzLyX+eWLFmS8Dj5we7ss8/OapsyxeUcDhw40MTnnHOOieWcW0OHDrXOqVSpkom7d+9u4ssuu8w6Ts4NUrt2bROXKVMmjRanLgx53LJli7XtXTq4pAtDDpPZsWOHiSdPnmzte+GFF0ws521ZtWqViX/66aeU7rv//vubWC7DfsIJJ6R0vXSFPY8dOnQwcZs2bax9ixYtMvH27dtNnGxONDnHi/czjR8VK1a0tm+99VYTZ2nOnrzKofw7LfMxceJE6zj5O2rKlCkmbtSokXXctm3bTHzXXXeZuEmTJib+97//bZ3z0ksvmVgut75gwQLruDPPPDPBn6L4+VmNSwEYD2CZ1vp+sWsWgD7xuA+Amd5zKT8wh25gHsOPOXQD8xh+zKEbmMfwYw7dwDyGH3PoJj8je44D0AvAp0qpj+I/GwRgBIBpSqlLAKwG0CM7TaQMYA7dwDyGH3PoBuYx/JhDNzCP4cccuoF5DD/m0EFFvuzRWr8BINHYs3YJfu60e++918RyyJ/X+eefb+IrrrjCxM2aNbOOk+UJ2cAc/l2FChVMLJfpy2dhyePKlSut7dtuuy3wNdq2bWvi6dOnp9ukvBGWHPrlHSouy/Tk0umXX365iVevXm2dk2iY86GHHmodJ5+nxc21PCYjyzCTlZ506tTJxHvv7atCvFi5nsO99tozcLthw4Ymlku0e5drD6Ow5HH06NHWtiz78UsuN3zJJZek3aZ8EZYcPvLII9a2XEb9qaeeMvEnn3yS0fvK34v77ruvta9fv34mLq7Srd3Ckke/Zs60B6/06LHn/YYs7cm0vn37mliW4wLZX+4733JYs2ZNE69YscLEY8aMsY476aSTTCzLk0uXLh34nq+88oq1vXPnThNfe+21Jt5vv/0CX7u4BFqNi4iIiIiIiIiI8htf9hAREREREREROST/x1rnoZYtW5q4T58+Jp4wYYJ13FtvvVVo/K9//cs67tVXXzVx2bJlM9ZOSuzXX381sRyyJ1cgodTIFSYAe/b7ZMqXL29i2ZfkahOU3+SKTHJ1BLlij1wBwUuu7nXBBRdY+7yreFFu+F01SK4SQkS22bNnp30N+flQrlJJmTVq1CgTf/TRRyaeNm2adZzfzzZ+tGrVytqWpZedO3c2cbdu3TJ2T0rOW6Yj8y/L1O+8804TlytXzjpHlvTVr1/fxF26dLGOu+iii0wsS7WKa4XDfFG9evVCfz5kyJCs3fPiiy/O2rWLC0f2EBERERERERE5hC97iIiIiIiIiIgcwpc9REREREREREQO4Zw9KZB1nHJZWu9cPEuXLjXx1KlTTfzwww9bx3GeHnJJqnMTyKVka9WqlanmUB7o0KFDoTHlp3HjxpnYO0/FbnKpUwA4+OCDs9omojCT85mlqkmTJiauVKlS2tejmOXLl1vbL7zwgol37dpl4nPPPdc6buLEiSZu3ry5ib3fBWTejj/++ELbcNRRR1nbcrl1yg/yu5+cr1XGRPmII3uIiIiIiIiIiBzClz1ERERERERERA5hGVea5LJ4l19+ecLjHnrooVw0hxKQy1gCQIsWLUzcrl27XDfHadWqVfN1XNOmTa3tO+64IxvNIaKACgoKCv25LB2RJcwAl4glSqZ169bW9pw5c3ydJ5fkvvfeezPaJopp1KiRtf3qq6/6Oi/Rc5KIKJ9wZA8RERERERERkUP4soeIiIiIiIiIyCEs46ISYdCgQUm3KXO6du1qbQ8cOLDQ46677jpru0KFCllrExH5N3ToUBOfccYZJu7Ro4eJvaUPRJSY9zOH7GOyrLxjx47WcfL3ZMWKFbPUOiIichVH9hAREREREREROYQve4iIiIiIiIiIHMKXPUREREREREREDuGcPUSUUQ0aNLC2d+3aVUwtIaJUnHzyySb+448/irElRG76888/i7sJRERUAnBkDxERERERERGRQ/iyh4iIiIiIiIjIIUprnbubKfU9gNU5uyHV1lpXyeQFmcOcy3gOAeaxGLAvhh/7ohvYF8OPfdEN7Ivhx77oBvbF8EuYw5y+7CEiIiIiIiIiouxiGRcRERERERERkUP4soeIiIiIiIiIyCF82UNERERERERE5BC+7CEiIiIiIiIicsjexd2AbFNRVQrAYgDrdUR3yvC1FwKoAWCAjuhZ4uc3ArgXQBUd0T+oqDoXwHAAX2S6DSUBcxhuKqoaAZgqfnQYgNt1RD+QwXsUAGgDYKSO6DEqqkYBOCm+e18AVXVEV1JRVQ/ADAD1dURXyNT9SwIVVR0B/AdAKQDjdESPyPD1F0L0RRVVByL296YOgFUAeuiI3sK+mB4VVdcB6AdAAXg8k/0wfv0C2H2xNoAnAFQBsBnAhTqi17Evpk5FVSUA4wA0AaAB9NUR/XYGr18AkcP4z3oAGBK/38c6os9nDtOjoup6AJci9t/0UwAX64j+M4PXXwj7mdoMwBgAZQHsBHCljuj3+ExNjYqqsgAWASiD2Pep6TqiIxm+x0LYORwGoAuAXQA2AbhIR/S3zGGa1N/7InTm+iLUnjxC61lQf/98A623QO3JIzTzGASfp4mVhJE91wFYlsqJKqoO8HHYBZ6XBLUAnApgze6f6YieithfQEoNcxhiOqKX64hupiO6GYBjAPwO4Lkg1/CZxwG7v5joiL5e3PMhAM/Gf/51/GcUQPyF68MATgNwJIDzVFQdGfAaQfviQACv6IhuAOCV+Db7YhpUVDVB7EVPSwBNAXRSUVU/4DUC9UXEXppP1BH9DwBDAdwFsC+m6T8A5uqIPhyxPAb6/Rg0hyqqGgC4BcBxOqIbA+gPMIfpUFF1MIBrAbTQEd0EsZfoPQNeI+gz9W4A0XjObo9v85maum0ATtYR3RRAMwAdVVS1CnKBFHJ4j47of8RzOBuxPDKH6VB7+iJ0an0Ryl8eoe3PN9D25xto5jEVfJ4m5/TIHhVVhwA4A7E3bDekcInnVVRtRexf0OboiN7p45xRAG4CMDOF+5EHc+icdgC+1hG9OuB5D6moqglgPIAZAd/Wnwcgo//aVgK1BPCVjuhvAEBF1RTE/nXx8wDXCNoXuwBoG48nAFgI4OYA96O/OwLAuzqifwcAFVWvAeiG+IcUn4L2xSOx59m9AMDzwZpMkoqq/QGcCOAiANARvR3A9oCXCZrDfgAe1hG9JX7PTQHvR4XbG0A5FVU7EBuB+m3A84M+UzWA/eLx/incjwQd0RrAr/HN0vH/6YCXCZRDHdE/i83yKdyPCrc3gHJQqfdFqD15hObnm2LA52kCro/seQCxL+27Ujy/LYD7AZwDYJmKqjuT/SuoiqouiJUafZzi/ejvmEO39AQwOehJOqIvBDAAQGsAn6moekhFVdOizouXkNQF8GrQe5LlYABrxfa6+M+CaIsAfRFANR3R38XjDQCqBbwf/d1SACeoqDpIRdW+AE4HUCvIBVLoix8j9kIJALoCqKii6qDgTae4ugC+B/CkiqolKqrGqagqH+QCKeSwIYCGKqreVFH1Trykk9KgI3o9YqPe1gD4DsBWHdHzA16mLYI9U/sDuEdF1dr4vW8J3HCyqKgqpaLqI8RKql7SEf1uwEu0RbAcQkXV8HgOL0B8ZA+lQf+9L0Kn1xeh1J1QyT/fQPPzTabweZqcsy97VFR1ArBJR/QHqV5DR7TWEb1QR3RvxMpPNIAvVFSdXcj99gUwCHzwZgxz6BYVVfsA6AzgmVTO1xH9gY7oqwA0BvAVgPdUVBU12qsnYnX0f6VyT8qcIH2xsHPBf8FMm47oZQBGApgPYC6AjwAE7hsB++K/AbRRUbUEsXlg1qdyTzL2BnA0gEd1RDcH8Bt2lwAEEDCHewNogNiH4fMAPB6fN4hSFC8Z6ILYy7uaAMqrqLowyDVSeKZeAeB6HdG1AFyP2MguSoOO6L/iZRyHAGgZL5UNcn7g34s6ogfHczgJwNVpNJ+A3SVYVl+ECtYXobWG1guh7TxCFf35Bpqfb9LF52lyLpdxHQegs4qq0xGbPGk/FVX/Q2xyJSD2hf5fiJUIAbHE7n6pMEtH9O0AoKKqHGL/GtkXQCXE5o95qZD71UPsL9nHKqqA2IP/QxVVLXVEb8jwn62kYA7dchqAD3VEb4zPi/RC/OdjEKuv7RffPh3Ak4j9S8diHdGXAoCKqr3j+/oCqI9Y/v9bxD17Argqk3+IEmo97BEghwD4Pv4vmkDm+yIAbFRRVUNH9Hcqqmog9i+nlCYd0eMR/1CioupOANtEHjPeF3VEf4v4yB4VVRUAnK0j+qfM/8lKjHUA1okRBNMBDMlmDuP3fFdH9A4AK1VUfYnYy5/3M/kHK2FOAbBSR/T3AKCi6lkAF6io+nd8fzaeqX3i+4HYP7qMy9ifpoTTEf2TiqoFAM5QUbW7H2Ujh9IkAHPAMvV0nQJgJXSsL0LF+iKUv74IHcsjVLDPN1CqBrT+DoqfbzKAz9MknH3ZoyP6FsSHVKmoagvg34XMij0LwGCxbU00qKLqbgDdAbyI2GSFS5Lc71MAVcW5qxCbKOqH1P8UJRtz6JzzEC/h0hG9Fp5cITYB8G4d5I74vzhfDeB1APfpiH69qJupqDocwAEAMrZKTQn2PoAGKqrqIvbipyeA83VER8UxGeuL4np9AIyI/z/n0MoAFVVVdURvUlF1KGIvYVp58ghksC+qqKoMYLOO6F2IPc+fSPfPUJLpiN6gomqtiqpGOqKXIzYP2oc6ogd4Ds3k8/R5xJ7fT8bz2RDAN+n8OQhrALSKjyj+A7E8ztER/ZA4JtPP1G8RG123EMDJAFak8wco6VRUVQGwI/6ipxyA9oitYCfzlNEcqqhqoCN6d966APgizT8GxfsilN0Xof33RSg7j9D8fJNjfJ4m4ezLngxZiNgS0Zlbfo9ybSGYw2IXn1OiPYDLU7zEJwCaeSYnLEpPAFPiJUCUBh3RO1VUXQ1gHmKjBp7QEf1ZwMssRLC+OALANBVVlwBYDaBHwPtR4WbE58zZAeCqFEbZBO2LbQHcpaJKI7ZMMUfape8aAJPipbHfALg44PlBczgPwKkqqj5HrARvgI7oHwPekwQd0e+qqJoO4EPElu1dAmBswMssRLBnaj8A/4mP6voTwGUB70e2GgAmqNhqlXsBmKYjenbAayxEwN+LKqoaITaP5WoA/xfwfuSl9btQmemLAZZrHwFgGhQ/32QCn6fJlYiXPTqiFyKWxKDnzUnjnnVSPZf+jjkMNx3RvwFIeVJWHdEvp3DOkFTvR38X70vp9KdA58a/TLZL9X5UOB3RJ6R5fqC+qCN6OmKlRpQhOqI/AtAijfOD5lAjtqJaKitiUgI6oiNIowQnhWfqG4iVL1AG6Ij+BEDzNK8RNIdFzwFDwen0+iJ0wO8amp9vMo3P08ScnaA5RzYDKFBR1TnZQSqqzgXwCIAtOWkVBcEcumErgGEqqpL+K5eKqnrxuS025qZZFAD7ohvYF8OPOXQDn6nhxxy6YTOAAqjkeYRiHvNYaPui0qxwICIiIiIiIiJyRloje5RSHZVSy5VSXymlAi/9SfmBeQw/5tANzGP4MYduYB7Djzl0A/MYfsyhG5jHcEp5ZI9SqhSALxGbdHUdYqu1nKe1/jzROZUrV9Z16tRJ6X4U3KpVq/DDDz+oZMcEzSNzmFvZyCHAPOYa+2L4sS+6gX0x/NgX3cC+GH7si25gXwy/ZDlMZ4LmlgC+0lp/AwBKqSmILQOYsPPWqVMHixcvTuOWFESLFr7mbwyUR+Ywt7KRQ4B5zDX2xfBjX3QD+2L4sS+6gX0x/NgX3cC+GH7JcphOGdfBANaK7XXxn1mUUpcppRYrpRZ///33adyOsqTIPDKHeY990Q3si+HHvugG9sXwY190A/ti+LEvuoF9MaSyvhqX1nqs1uPniV4AACAASURBVLqF1rpFlSpVsn07ygLm0A3MY/gxh25gHsOPOXQD8xh+zKEbmMfwYw7zUzove9YDqCW2D4n/jMKFeQw/5tANzGP4MYduYB7Djzl0A/MYfsyhG5jHkErnZc/7ABoopeoqpfYB0BPArMw0i3KIeQw/5tANzGP4MYduYB7Djzl0A/MYfsyhG5jHkEp5gmat9U6l1NUA5gEoBeAJrfVnGWtZHnvrrbdMPHLkSBPPmpX47/xVV11l4s2bN1v7nn766Qy2LpiSnEdXMIduYB7Djzl0A/MYfsyhG5jH8GMO3cA8hlc6q3FBaz0HwJwMtYWKCfMYfsyhG5jH8GMO3cA8hh9z6AbmMfyYQzcwj+GU9QmaiYiIiIiIiIgod9Ia2VNSvP3229b2ySefbOLt27ebWCmV8BovvPCCiWfPnp3B1hERERERERER7cGRPUREREREREREDuHLHiIiIiIiIiIih7CMK4FFixaZ+Mwzz7T2bdu2zcSydKt79+7Wccccc4yJL7nkEhMfdNBBGWsnpWblypUmfvfdd03crl0767gqVarkrE1ERC448MADTRyJRKx91113Xa6bQwmcdNJJ1nabNm1MPGTIkBy3hoiIiDKNI3uIiIiIiIiIiBzClz1ERERERERERA7hyx4iIiIiIiIiIodwzh5h4MCBJh47dqyJf/nll4TnDB8+3MQDBgyw9u29N//z5sLPP/9s4n333dfEyf77X3bZZSZ++eWXTdy0aVPruJEjR5q4Q4cOabWTbBs2bLC2Fy9ebOILL7zQxL169TJxjx49rHNat25t4lKlSmW6iVSMtm/fbm2/8sorJn7rrbdMfM8991jHPfbYYybu06dPllpHXvI5WqZMGRO/88471nGcs6d4LVy4sNDYu805e9y3YsUKEzdq1MjEWmvrODk35Zw5c0zcsWPHLLbOTTt37jSx/O/Kzy9ElC0c2UNERERERERE5BC+7CEiIiIiIiIickiJrzOSQ8+feOIJE//0008Jzxk2bJiJb7rpJhNzGGb2bN682cQ333yztW/+/Pkmfv75503cvHnzhNeTuZJDaTdt2mQdd84555g4Go2a+KKLLrKOk0sNkz+DBg2ytp988slCjxs9enShMWAv68yyg+L3+uuvm3j69OmFHvPUU09Z27L/Sbt27bK2kz2TpYMOOsjXcZRZM2bMMPGff/5p4q5duxZHc0iQ5Vne5dYTkcctWLAg002iNL322msJ97Vp08bXObJMPdFz2Lsv2XFUuNmzZ5tYlqVXrlzZxN7PQ7IEea+9+O/yFPPxxx+b+NRTTzWxt1/OmzfPxN7pKSh18nuG93nqLYtORP4+bdu2bQZaVTQ+QYiIiIiIiIiIHMKXPUREREREREREDilxZVwvvfSStS1X/fnhhx9MXL58eRPPnDnTOufkk0/OUutI+vbbb0189tlnm/ijjz6yjpMrQsgVJZJ5/PHHTSxLv+TfB8AuRbn++utN/Mwzz1jHLVq0yMSlS5f21YaS6I033jCxLPsAgH322cfE559/vokLCgoSXs+70g/l1rp166zts846y8Sy9DLTGjRoYOLTTjvN2sdV84pHvXr1TCz/Hmzbtq04mkOC3+Hl6Z5D2XX66aebWP4uPfjgg63jli1bZmJZ/uotP1+zZk2h96lUqZK1LUsNjjnmGN/tpZgmTZqYuG/fviaWny8vueQS6xxZ1j5u3DgTN2zYMBtNpEK0b9/e2v7jjz9MPGnSJBPXrl07a234/PPPrW1ZuiW/s3rJknqWcQXjnRJCTuGRCbJEOldTUXBkDxERERERERGRQ/iyh4iIiIiIiIjIIXzZQ0RERERERETkkBIxZ49cXt07J8v3339vYjnXSv/+/U3MOXpyw1uv+MADD5j4kEMOMfGzzz5rHeeds8OPWrVqmfiaa65JeFy/fv1MLOuuzzjjDOu46667zsSPPPJI4PaUFF9//bWJn3jiCWufnJdp6NChvq533HHHZaZhlJL169db23KenrJly5r48ssvN7HW2jqne/fuJpbzNiXTsmXLQO2kzPPOf1e3bl0T33bbbSa+4IILctYmorCTn0kBYPjw4SaeO3euieXnkZtuusk6Rz5ju3btauJEc/R49e7d29qWn8UouDp16pj4vvvuKzSeP3++dc65555rYjlP0hdffGEd552viTLH21+++uorE8s5lVKZa0XOpQXY836OGTPGxN58y+eDXG7d+9nJO+8W/Z2cl07Oy5PL+erkfTlnDxERERERERER+cKXPUREREREREREDnG2jEsukTdgwAATe4fISldddZWJhw0blp2GkUUOlxs1apS1r02bNiYeP368iatUqZL1dhXm2GOPNfHdd99t7bv22mtNfOaZZ5o4lRIzl/Xp0yej15ND1Cn35FBmrwoVKpiYZQDukSV7gD3cvFOnTiaWz3Ei+ruJEyea+J577rH2yaWX5RLKsoyycuXK1jlyGoLXXnvNxLLsw+s///mPia+++mo/zaYMkktqA/Zy6z169DDxp59+ah3HMq7M8paZJyK/I8rls5OZMWOGiR9++GFrnyzjSoUsFQT+PmVJSeUtycpkuVbbtm2tbflZRz53/d7HW8aVybIujuwhIiIiIiIiInIIX/YQERERERERETmkyDIupdQTADoB2KS1bhL/2YEApgKoA2AVgB5a6y3Za2bRduzYYW1fccUVJv74448Tnle7dm0TyxVjMt0mWVZWqlQp67jy5ctn9L6Fyac8yuH+suSpfv361nFytSbvMOXiJlcQAuwys0GDBpk4k2Vc+ZTDbPvwww8L/blcgQQA6tWrl4vmZFTY8zhnzhwTP/bYYwmPO+ecc3LRnGIR9hxmwrp166xt2WflKoZylct8wzyGX1hzuGrVKhMPHjzYxN9++23CcxKVbslrAXZZWDKy9KNXr16+zsmWsOYxW+TqpA0bNjTxkiVLrOM6duyYszYVJaw5lCU3srxKrr6VjPxOl6xUUvKWi/k9T5L917tKcTrCmsfdZNnUSSedlPb1ZLmWvPaCBQsSniNLsHK5ulcifkb2FADwPk0GAnhFa90AwCvxbcpvBWAew64AzKELCsA8hl0BmEMXFIB5DLsCMIcuKADzGHYFYA5dUADm0SlFvuzRWi8CsNnz4y4AJsTjCQDOynC7KMOYx/BjDt3APIYfc+gG5jH8mEM3MI/hxxy6gXl0T6pz9lTTWn8XjzcAqJboQKXUZUqpxUqpxclWwqJi4SuPzGFeY190A/ti+LEvuoF9MfzYF93Avhh+7ItuYF8MsbSXXtdaa6VUwrXqtNZjAYwFgBYtWvhb0y4FkydPtrYT1SzXqlXL2p43b56JZV1sKu666y5re/HixSZ+7rnnTFyzZk3ruBtvvNHE119/fVptSFWyPKabQ+8SvbL+8ddffzXxhAkTrOPybZ4eaf/997e25XxP//d//2fipUuXWsd555zJpHzpi6nasmVP+a+soZaaN29ubZcrVy6rbSoO2eyLmSCfa1777befib/88ksTH3TQQSY+7rjjrHNGjx5t4kMPPTQTTSx2Ye+LfrRu3dra3rlzp4m989KFVb73RSpacfbF7du3m3j16tXWvm7duplYztOzzz77WMfJz4fyM9Fvv/1m4rvvvts6Z+vWrb7aJz+Lej/TSPJLW5UqVXxdO9PyvS+uX7/exFOnTrX2yc8zBxxwgInlvHbHH3+8dY6cE03mumvXruk3tpjky+/F//3vf9b2BRdcYGK/fScfPP300yY+4ogjcnbffOiL3nlwMjE3z27e+ZQyuQR6MnJZeMD+ruxd5j2oVEf2bFRK1QCA+P9vSqsVVFyYx/BjDt3APIYfc+gG5jH8mEM3MI/hxxy6gXkMsVRf9swC0Cce9wEwMzPNoRxjHsOPOXQD8xh+zKEbmMfwYw7dwDyGH3PoBuYxxPwsvT4ZQFsAlZVS6wBEAIwAME0pdQmA1QB6ZLORfgwcaE8M7h2GtVvPnj2tbT+lW97hYm+99ZaJhw4dauJt27YVeS3AHu4JADfccIOJ5TCuV155xTrumGOO8XX9whRnHr1LQ27cuNHEV199tYlzOQwx09q3b29i+fdg2LBh1nHe4b1BhKUv+iXLtgB7WPtPP/1U6DnePiCHyXuHv+ersOdxxYoVCff9/PPPJn711VcLPeaFF15IeL25c+eauHbt2qk2MevCnsNUyVKt999/39p33333mdhbVp2vSmoeXZLPOZSlW4cffrivc2TZFgDccccdhR63aNEiEz/22GMptA649dZbC/35ddddl/Be2Sodyec87vbLL79Y288884yJ5RQM3u8fsoz5r7/+MrGcuqB69erWObKk+V//+peJ/f49Kg75nENZunXxxRdb+/yWbsnPmHLZ8127dpl4r738jaFYvny5r+O8unTpYuKjjjoqpWsUJV/zmOkl1aVky6inUkKVaCqKIOT7gHTLuIp82aO1Pi/BrnZp3ZlyinkMP+bQDcxj+DGHbmAew485dAPzGH7MoRuYR/ekWsZFRERERERERER5KO3VuIqTHIonS4MAQCll4kGDBpk42azaL730konvvfdeE8shrADw559/FnofGQNAvXr1TCxXnfK2VZJlEG+//ba1L50yruLkHe5ftmxZE8thxKVLl85ZmzKtatWqJm7RooWJp02bZh2XThmXa1auXGlte8slC+Mt15SlI9OnTzfx0UcfbR23996hftTllcaNG5u4YsWK1j45XF0ON5ZDUG+55RbrnC+++MLEPXrsGRn85ptvWscxh8XvvffeM7E3P3KIe6tWrXLWJqJ8JcuhEk0t4OVdlcmPZNeW++SzG7BXTBwxYoSJvb+L5WdbWZoW5tL7VHhLPeRqvv379zfxJZdcYh0nS7Jk6bk8v3PnztY5GzZsMLFc5dK7qls+lzsXN1lKk4kVt2SJZaLySr/8lnt1797d2r7yyitNvO+++6bVhrDJROmW7MN+S6P8rorl5ztMEJm8Hkf2EBERERERERE5hC97iIiIiIiIiIgcEupx8c8++6yJkw1jleUE3lIAOZxPrqzlHaIuyRnQZWmVt8SkSpUqJpYz8A8fPtw67sEHHyz0Pnfffbe1LVeuCpMyZcpY24MHDzZxtWrVct2crJCrRyVbrYj2kKsZAEAkEjGxXLHpww8/NLEsoQSAtWvXmliuWCFXXgD+viIcpU4+53r37m3tq1mzZpHn//jjj9b2pZdeamJZJiTzDgAtW7YM1E7KvDVr1pjYW6Iq+1j58uVz1iaifCJLR9544w0Te8v8E1m8eLG1LT/bypKdzz//PPC15TmAXXokea8nP6fJz7Ulgcxhr169rH2TJk0ycadOnXxdT5a7yukdvOrWrWtiOZWE/JwDADNnzky4r6STJTd++0jTpk1NLKf2AIDKlSsHboP8btC1a1cTJ/vOWqlSJRPLsi0AOPHEEwO3IcxSKWWSeZffK7z7Mk1eW66k5ZffUt9UcGQPEREREREREZFD+LKHiIiIiIiIiMghfNlDREREREREROSQ0M3Zs3z5chPv2LEj4XFy7ogDDjgg4XE33XSTiZPN05PonAsvvNDXOdJdd91lbcs66pdfftnEchn2MPMuHeitGw8jb22l/DOluqxjSXPggQda20OGDDHxrbfeamI5d4t3Lh55jiSXkQWAU045xcRcwjtz/MzR4+VdlvaBBx4w8dKlS03sfR5zzp7isX79ehO/+OKLJm7evLl13Nlnn52zNhHlq99//93Ev/32W+DzvXNMSHIJb+/cZ5kk5wwB7GXB5TyVJcG///1vEx922GHWvjZt2gS+nvwMI5fybtasmXXc3LlzTfzuu++a+LrrrrOOk/OELFmyxMSHH3544La5pkmTJiZO9r2jcePGJpbz9KQyR4+XzJeceynZvFgFBQUmLmlz9HilMmePfIZmc44eL/l9xG+7kz3vM4kje4iIiIiIiIiIHMKXPUREREREREREDgldPcN+++1n4oYNG5r4k08+sY6TQ2nl8D3vMuBymUxJHvfUU09Z+84555wALf67cuXKWdsVKlQo9Di5XDsArFq1ysTeZavzmXfYqRwSvHnzZhN7y3rymSy3A4BTTz210OPOO++8XDTHObLUSpbveIc6jxkzxsQbNmwwsbdfP/TQQya+/vrrM9ZOSp9covKCCy4wsbcU7+KLLzaxt8yAMkuWn/Ts2dPEsoza+ztI5oeIMm/16tUm9ruUdCp69+5tbctS25Lm4IMPNvFJJ51k7atYsaKva6xZs8bE/fr1M3HZsmVN7C1Rl2U98jPzkUceaR3Xvn17E5911lkmnj9/vnWcLAEsKWbPnm1iOeWGt+RYLomebumWN4/z5s3zdV6LFi1M3KFDh7Ta4JJE39G9ZLlWrkq3vKVafpdbl+1LNBVFpnFkDxERERERERGRQ/iyh4iIiIiIiIjIIaEr46pRo4aJL730UhNfe+211nE//fSTieXw8tGjR1vHyRKRL7/80sTbtm0zsXcYmSzjWrt2rYlr1aqVsN1ylRk5FB7wvwpYNoftZpMcngjYQ1/POOMME3tnJe/YsWN2G+aDLDO7++67TXz//fcnPKdXr14mfvLJJ7PTsBJqn332sbZvu+02E1911VUJz9u+fXvW2kTp6datm4nlM3TFihXWce+8846J8+HZ4DK5qotc9ee0004zsXe1yFKlSmW/YZQzuVzFxCW1a9c2sfwsMHHixLSv7V0FNN1zZDmsLN0qyWVbXgMHDjSxd2VZmeszzzzTxLJ8CLBX9JLlWVOnTjVx9erVfbWnfv361rZcPUqWdHmnFvjggw9MXL58eV/3CjuZn9dffz1r95HfEWUpOuB/dV75OYj28LuqVSor46VCtsdb1ulXrlbgkjiyh4iIiIiIiIjIIXzZQ0RERERERETkEL7sISIiIiIiIiJySOjm7JFkvXHp0qWtfTt27DDxli1bTOytp2zcuHGR93n44Yet7XXr1pl42bJlJvYuiSjJOj85n5BXzZo1TexdylbWn4bZnDlzTHzLLbeYWNY8A0Dfvn1NLOum69atm3YbNm7caGK5nOkbb7xhHTd58mQTL1682MTlypWzjjvllFNMPG7cOBNzHovskvNnJZuzh4r27rvvmtg7H4ucC4Dc98knn5j4u+++K/Tnjz32WE7bRLmVqzkQXCM/Bz7++OMmPuKII6zjJk2aZGK53LP8TAkAmzZtKvQ+fudwlJ8bvXPOXH311SYuiUtz+/HPf/7TxN4l6eWS6HLOlRdffNE6Ts41+uqrr5pYft5PlZzDR87fc/TRR1vHnXvuuSZ+5plnTOz9LEvBffzxxyZO9v1OmjZtmrUtP8tScHLZc7/LsMvv5cnmBpJzMvmdQ0jed8GCBb7OySaO7CEiIiIiIiIicghf9hAREREREREROSTUZVwXXnihicuWLWvtk0sye5c6lz777LPA933++edNLIfSyqXbkylTpoy1XaVKFROPGjXKxGeffXbgtoVBvXr1TPzUU0+Z+JprrrGOmzVrlonlEpXeJQrlcs1yeKos5fOSZSqJhkl7yeGuBQUF1r4ePXr4ugZl1q+//lrcTXDGo48+auIpU6ZY+4YNG2biAQMG5KxNVDzksy5RuVbLli1z1RwqBnLoOqVGTi9w8803W/t69uxpYvkZ0FvGJfufLBH3S5bjDR8+PGH7qGg33XSTtb1o0SITr1ixwsRjxoyxjpOfWffbb78stc4u6ZKfhQH7+0SrVq1M/N5771nHeb+f0B6//fabiWXuZb9KVl4ppw1h2ZY/cplyWaqVTKpLogflLRGTbU1WPlYcOLKHiIiIiIiIiMghfNlDREREREREROSQIsu4lFK1AEwEUA2ABjBWa/0fpdSBAKYCqANgFYAeWustia6Tbd4hcXImejljvrfUaufOnVlrkxwi26RJExPLFaiA7A/ny+ccyiGjY8eOtfbJ8ipZNvXCCy9Yx8l91atXN7EcculdXahq1aomPuGEE0x87LHHJjyuU6dOJm7UqBFyLZ/zWFy85XS7ydUvgPxZaSSfc3jppZeaeObMmdY+OXx95cqVJn7kkUcy2gattYkrVKhg7fvHP/6R0XulI5/zmApvOaRcPeL88883sUsrNLmWw0zzu+pIcQtrHhOtrnrMMcdY2/JzUSplXBMnTjSxd0Uwb2lZcQlLDr2/k+bOnWvivfba82/n++yzT87alEiHDh2s7ffff9/E8vuR/FwLAPPmzTOx/DP5EZY8pkquuiX/u8nPLd4yrqZNm5r4ueeey2LrMiPfcjhkyBATp7IqVibIkiz5GUi2Ld/56ck7AdyotT4SQCsAVymljgQwEMArWusGAF6Jb1N+Yg7dwDyGH3PoBuYx/JhDNzCP4cccuoF5DD/m0EFFvuzRWn+ntf4wHv8CYBmAgwF0ATAhftgEAGdlq5GUHubQDcxj+DGHbmAew485dAPzGH7MoRuYx/BjDt0UaIyeUqoOgOYA3gVQTWv9XXzXBsSGfBV2zmVKqcVKqcXff/99Gk2lTGAO3cA8hh9z6AbmMfyYQzcwj+HHHLqBeQw/5tAdvpdeV0pVADADQH+t9c+yLlFrrZVSurDztNZjAYwFgBYtWhR6TDYcdthhJl66dKmJJ0+ebB23evVqE8ulCpcsWeLrPrJmz1un27BhQxN7lwsvDmHLoZwvR84Z4l3+8vXXXzexXFJy3bp1Jl67dq11TrNmzUyczaUwsyFsecymTz/9tNCfn3baadb2eeedl4vm+JaPOTz++ONN7J0X6+KLLzaxnDfi66+/to6T9f5+yflitm3bZuKyZctax9WsWTPwtbMtH/OYiilTpljb8nfh9u3bTSxzkE9zKKXDlRyWdCUhjyeeeKKJ5dLPycj5RLzzRW7dutXEd955Z5qtS1/Ycuj9HZXP5HxN48ePN3GvXr2s40aPHm3ia6+9NqV7hS2Pft1xxx1FHiOXVwfseXoSzdOVj/Ixh3IuQe98OX6XZU9Ezssj7+MKXyN7lFKlEUv6JK31s/Efb1RK1YjvrwFgU6Lzqfgxh25gHsOPOXQD8xh+zKEbmMfwYw7dwDyGH3PoniJf9qjY67zxAJZpre8Xu2YB6BOP+wCY6T2X8gNz6AbmMfyYQzcwj+HHHLqBeQw/5tANzGP4MYdu8lPGdRyAXgA+VUp9FP/ZIAAjAExTSl0CYDWAHtlpYmYlK+cYONDZycWdyqGXXDpdqlu3bqFxiDmdR2n+/Pkmlsubev3vf/8r9OdXXXVVxtuUIaHIoSzpAoAPP/zQxLJEzltKIEtXjzrqKBOPGDEi4b26dOliYlluedJJJwVocc6FIo9+ecvvZDldkyZNTOxK6VacUznMtEgkUtxN8KvE5PGGG24wsXwm//bbb77OV55lob/44ovMNCx9JSaH+eD88883sXdeleuvv97EtWrVMnHXrl39XNqpPMrPMwDw1VdfFXqcLJW84IILrH1hKt2KC0UOvWVcYVoGvTgU+bJHa/0GAJVgd7vMNoeygTl0A/MYfsyhG5jH8GMO3cA8hh9z6AbmMfyYQzcFWo2LiIiIiIiIiIjym+/VuIiIckWu+iNXCvruu++s48qUKWNiuWJUvXr1sti6kqdixYomnj17tokffPBB67hhw4aZeMWKFSZ+9tln4Uf16tVNfO+99wZuJ/n3yy+/mPijjz6y9sl+deCBB+asTVS85IokMqb80LlzZxPfc889Jh45cqR1nFxlVqpTp461LUt2qGS6+uqrrW25EmP//v1N7LOMK/QmTpxoYu8qvt4yyN1kqVbv3r2z0zCiNHBkDxERERERERGRQ/iyh4iIiIiIiIjIIXzZQ0RERERERETkEM7ZQ0R5Ry73PGfOHBPLGnIAaN26tYnvvPPO7DeMUKlSJRPffvvt1r6jjz7axE899ZSJp02blvB6PXrsWcFz4MCBJm7evHla7aTk5DxMcn4lco9clpZL1Lrh8ssvN/G5555r7evWrVuhca9evazj9t9//yy1jsKiVKlS1vaiRYtMvGvXrlw3p9ht3brVxNu3b/d1Tt++fU1co0aNjLeJKF0c2UNERERERERE5BC+7CEiIiIiIiIicgjLuIgorzVr1szECxcuLL6GUJE6depUaDx16tTiaA4RkfNkaS0AvPrqq8XUEgq7vfbaq9C4pDjxxBNNXKVKFWufXHp98ODBJvYuX0+Ub0peTyYiIiIiIiIichhf9hAREREREREROYRlXERERERERFRiNW3a1MQbNmwoxpYQZQ5H9hAREREREREROYQve4iIiIiIiIiIHMKXPUREREREREREDuHLHiIiIiIiIiIih/BlDxERERERERGRQ/iyh4iIiIiIiIjIIUprnbubKfU9gNU5uyHV1lpXyeQFmcOcy3gOAeaxGLAvhh/7ohvYF8OPfdEN7Ivhx77oBvbF8EuYw5y+7CEiIiIiIiIiouxiGRcRERERERERkUP4soeIiIiIiIiIyCF82UNERERERERE5BC+7CEiIiIiIiIicsjexd2AbFJRVQnAOABNAGgAfXVEv53B6xcAaANgpI7oMfGf9QAwJH6/j3VEn6+iqh6AGQDq64iukKn7lwQqqjoC+A+AUgDG6YgekeHrLwRQA8AAHdGzVFQdCGAqgDoAVgHooSN6i4qqcwEMB/CFjuhOmWyD61RUlQWwCEAZxJ4503VERzJ8j4Ww8zgMQBcAuwBsAnCRjuhvmcfUqahaBeAXAH8B2KkjukWGr18A8TxVUXURgHsArI8fMlpH9Dg+T1OnouoJAJ0AbNIR3SQL1y+AncMTATwA4B8AeuqInh4/jjlMA/PoDhVVpQAsBrA+07+TvL8Xxc9vBHAvgCo6on/g78XUqKiqBWAigGqIfeYfqyP6Pxm+RwHsvngDgEsB7ATwPWLfa1azL6ZORVUjxD7373YYgNt1RD+QwXsUwM7jKAAnhE9mKAAAIABJREFUxXfvC6CqjuhKzGPq+H0xMddH9vwHwFwd0YcDaApgWZCTVVQd4OOwAeJFTwMAtwA4Tkd0YwD9AUBH9Nc6opsFajnt/hD0MIDTABwJ4DwVVUcGvIafHF4gPggNBPCKjugGAF6Jb0NH9FTEfsFScNsAnKwjuimAZgA6qqhqFeQCKeTxHh3R/4j3u9kAbgeYxww4SUd0s1Re9AR9nsZNjd+vmY7ocQCfp2kqANAx1ZNTyOEaABcBeFoewBymrQDMoyuuQ8DPprul8Htx9wuKUxHLKQD+XkzDTgA36og+EkArAFdl6TOq7ItLALTQEf0PANMB3A2wL6ZDR/Ty3Z8zABwD4HcAzwW5RtA86oi+XtzzIQDPxn/OPKaA3xeTc3Zkj4qq/QGciNgHFOiI3g5ge8DLPKSiqiaA8QBm6Ij+s4jj+wF4WEf0lvg9NwW8H9laAvhKR/Q3AKCiagpiozU+D3CN51VUbUVshNccHdE7izi+C4C28XgCgIUAbg5wP/LQEa0B/BrfLB3/nw54mUB51BH9s9gsn8L9KPOCPk8pw3REL1JRVSeNSwTKof5/9u487qZq/wP4Z2XIWJLhSkUX1ZWKaPhVhm5CUtKg3BKS5iLhSmXbaEA3pG4zj+bSRCVyheg2eBDKUK4pUYYMEY3r98c5Vt+9O+c8Z5/pOXs9n/fr1avvfva0+Fpn2M/6ruXotQCgXPV7GvckH+bRDspVhwM4D5HfAvdN4RJBP98AwGgAAwBMTuF+JGhHbwKwKRr/oFy1HEBtBPuMGrQvzhKbHwO4MlirqQhnA/ifdvS6gOel8/mmC4CMjnYvgfh9MQGbR/YchcgQxwnKVYuUq55SrqoY5ALa0VcC6A/gdABfKFeNU646McEpRwM4WrnqQ+Wqj6NDyih1tQF8LbY3RH8WRCsADwK4BMBy5ap7lavqJzi+ZvQNHAC+RWR4LqVJuaqUctVniJRUzdCO/iTgJVohWB6hXHWPctXXAK5AdGQPpUUDeE+5aoFy1bWBTw7+egoAFytXLVGuejX6G2kqRinmkPIM85g3xiDy4CXVh2itEOB9UbmqIyLlYotTvB/FEX342gRAoM82afbFngDeDXI/KtLlAF4MelKqeVSuqoPI99X3g96TPPh9MQGbH/aUBnASgEe1o5sA2IPoEKsgtKMXaEffBOA4AKsAfBqtmY13zwaI/IPpAuDJ6LxBVEy0o7V29Gzt6KsQGZ6pAaxQrro4mXPBESEZoR39W3Ro6uEATlGuCjTPRCp51I6+Uzv6CADPA7g5jeZTxJna0SchMkz2pug8HoEEfD19C0Dd6HD1GYj85oSKWcAcUp5iHouXctX+OZcWpHqNIO+LylUVAAwCf/GRccpVlRCZZ6WPb1RxUlLpi8pVVwJohsi8dpQBylVlAVwAYFIq56f4mno5IvNY/pbKPSlzbP6+aG0ZFyJP9TaIEQSvAhgSHV0AAI8hMolTr+h2ewATEHkyV6gdfQ0AKFeVju67GkB9RN4on0twz0+0o38BsEa56ktEHv7Mz+QfrAT5BoD8bf7hALaIHA4GcCoiw6CBSOfc/8Fpinb0YABQrioPoBMiOayCSI38jDj3/E65qpZ29CblqlqIjEShDNGO3qFcNQvAecpV+/tRNvIoPQ9gKjhMNi3a0d9E/79ZueoNAC2Vqx6K7s7466l29Dax+RSicxNQ5kRHS70V3czGeyLlAPMYSmcAuEC5qj2AcgAOUq56F5EJQIHMvy/WQ2QEwWLlKiDyeWqhctUp2tHfZvjPVmIoV5VB5EHP89rRr+eiLypXtQZwJ4CW2tE/ZfwPVXKdC2ChdvR3OXxNvRzATZn8Q5RQ/L6YgLUPe7Sjv1Wu+lq56hjt6JWI1GEu1I7u7zv0ERG3lTuiT2RvBjAXwL+0o+cWcds3ERnRM0G5qhoiZV2r0/lzlHDzATRQrjoKkY58OYB/aEe74pgpiLzp7eeZ2Ey5aiSASwG8g8jkaIuKuOcUAN0A3B/9P+va06RcVR3AL9EHPeUBnIPIigQyVxnNo3JVA+3or6KbHQGsSPOPUaJFS2APiM5LUBGRCT6HakcP8x2asdfT/W+i0c0LkOIkphSfdvTX8PU1ZPY9kXKAeQwf7eg7EFnQA8pVrQD0039euSVj74va0UsB1BDnrkVkot+tqf8pSjblKoXIHC3LtaMfBLLfF5WrmgB4HEA7zguacV0QLeHKxWuqctWxAA4BkLFVokswfl9MwNqHPVG3AHg+OjRvNYAeAc9fAqBxgGGZ0wG0Ua5ahsjyxP19v52mALSjf1WuuhmRv9dSAMZrR38R8DKzEVlCMdnJ0u4H8IpyVU8A6wB0Dng/+rNaACaqyGz5BwB4RTv67YDXmI2AeVSR5TR/RySP1we8H3nVBPBG9DfCpQG8oB09LeA1gr6e3qpcdQEiK558j+hk+5Q65aoXESkzrqZctQGAox39dIBLBMqhctXJiKxqcgiA85WrXB1ZqZLSwDxS1GwEe1+kzDoDQFcAS8UIgkHa0VMDXCPo++IoAJUATIq+H6/Xjr4gwP0ohugvsc4BcF2KlwiaRyDyQOKlaAkQpYHfFxOz+mGPdvRniNS0pnr+fwIerxFZUYF17xkSfdMM8sYZ6/wgx29DZBQYZYh29BJEJi5M5xpB81hkjS0lT0dWOEhrAtcUXk/Nb74pM7Sju6R5ftAczkdkODVlEPNoF+3o2Yh80Qh6Xjqfjeqmei5FaEfPA6DSvEbQvtg6nftRbNrRewAcmsb5gfIYPWdIqvejP+P3xfhsnqA5F3YCGKZclXDUgHJVvehT/+9y0ywK4HsABdERBHEpV10G4N8AtuekVRQU8xh+fD0NP+bQDsyjHfi+GH7si3ZgHsMvtK+nSnP0GBERERERERGRNdIa2aOUaqeUWqmUWqWUCrysOeUH5jH8mEM7MI/hxxzagXkMP+bQDsxj+DGHdmAewynlkT1KqVIAvkRkQqsNiMyE3UVrvSxzzaNsYx7Djzm0A/MYfsyhHZjH8GMO7cA8hh9zaAfmMbzSmaD5FACrtNarAUAp9RIiSxzHTXq1atV03bp107glBbF27Vps3bq1qMnjAuWROcytbOQQYB5zjX0x/NgX7cC+GH7si3ZgXww/9kU7sC+GX6IcpvOwpzaAr8X2BgCn+g9SSl0L4FoAOPLII1FYWJjGLSmIZs2SWoisyDwyh8UnUzkEmMfixL4YfuyLdmBfDD/2RTuwL4Yf+6Id2BfDL1EOs74al9b6Ca11M611s+rVq2f7dpQFzKEdmMfwYw7twDyGH3NoB+Yx/JhDOzCP4ccc5qd0HvZ8A+AIsX149GcULsxj+DGHdmAew485tAPzGH7MoR2Yx/BjDu3APIZUOg975gNooJQ6SilVFsDlAKZkplmUQ8xj+DGHdmAew485tAPzGH7MoR2Yx/BjDu3APIZUynP2aK1/VUrdDGA6gFIAxmutv8hYyygnmMfwYw7twDyGH3NoB+Yx/JhDOzCP4ccc2oF5DK90JmiG1noqgKkZagsVE+Yx/JhDOzCPfxgyZIhn23XdmMdprXPQmuQxh3ZgHsOPObQD8xh+zKEdmMdwyvoEzURERERERERElDt82ENEREREREREZJG0yriIiIiKk7/cy79NRBQWCxYs8Gw//PDDJp44cWJS15ClrY7jmPi6667zHFerVq1UmkhESVq9erWJ69evb+I33njDc1zHjh1z1iYqeTiyh4iIiIiIiIjIInzYQ0RERERERERkEZZxEVFek0PNjz32WM++888/38R9+/bNWZsoO2bPnm3ieKtv+bFsi2z222+/ebaXLl1q4ldeecXEn332mee4Bg0amLhixYomliU+bdu29ZxzxhlnmLhMmTIptpjS0bp1a8/2rl27TKyUCny9YcOGmdhftuUv66L8sXXrVhOfc845Jv7pp588x8n3zBo1amS9XZTY1KnehaoGDBhgYtl/X3vtNc9xLOMKh1WrVpm4RYsWnn1z5841cb169XLWpmRwZA8RERERERERkUX4sIeIiIiIiIiIyCJ82ENEREREREREZBHO2ZOCRx991MSyHvrSSy/1HDd27NictYnIJvPmzTPxDz/8YOI5c+Z4jluyZImJd+7caeKBAwd6jitfvnymm0gZIuccOOuss5I6Ry4nTGSDHTt2mPiFF14w8cyZMz3Hvf766zHP98/XsWjRopjHydfT+++/37NPzhczcuRIEzdp0iResylFn376qYn79OljYvk+Bnjn+TjooINM3KhRo7jX3rBhg4nXr19vYv/7YtmyZU3co0ePZJpNWbJv3z7P9q233mpi/3xcknz/7Ny5c8bbRUXbuHGjie+66y7PvmXLlplY9uWuXbtmv2GUcYWFhSbetGmTZ9/06dNNfOONN+asTcngyB4iIiIiIiIiIovwYQ8RERERERERkUVYxpUEWVICeJfSK1eunImvvvrqnLWJyDbbtm0zsSzT2bt3b9xzZOnD8OHDTXzJJZd4jjv++OMz0UTKglatWsWM5fB0yi25LOyXX34Z85gZM2Z4tmfNmmXi//u//zPx+eefH/c+3bt3N7F/WWjbrVmzxrMtl0H/6quvTCw/YwDeJdV79uxp4htuuMFznCz5kRYsWGBiuVQsANx2220mlmVcTz31lOc4uZQ7JUeWbQHekpuvv/7axP68ydfE3r17mzhRyeuTTz5p4ptvvtnEchl3ABg6dKiJWcZVvKZMmeLZfvHFF5M6b9q0aSZmGVfx6Natm4kXL17s2VetWjUTy5LcunXrZr1dlHkyn37+sq58wpE9REREREREREQW4cMeIiIiIiIiIiKLsIwrCe+//75ne/fu3SYeNGiQiU888cSctYnC4fvvv/dsa62TOu/QQw/NRnPyyvbt2z3bo0aNMnG6JTz+4cyyFLMk/N2GyZAhQ0ycbN5laQPFt2LFCs+2LKnasmVL3PPkyjC//PJLUveSK4188sknMWO/SpUqmfiWW25J6j62eP755z3bsnTrtNNOM/F9993nOS7df/tNmzY1ccOGDT37SpUqZWK5GpC/tOjxxx9Pqw0lkVxxC/CWbkmTJ0/2bLds2TLwvXr16mXipUuXmviRRx7xHCfLoOVKl6nck4KTK6XddNNNKV1jwoQJJpavFTVr1ky9YVSkBx54wMT+clhp4sSJJuZ0AuEn816lShXPvmuuuSbXzUkaR/YQEREREREREVmED3uIiIiIiIiIiCzChz1ERERERERERBbhnD1J+Pnnn4u7CSTs3LnTs/3yyy+bWNbB33jjjSb2L4nnX0o2WwoKCjzb8ZYRb9GihWdb1s+Hzeeff+7ZlkuD7tmzx8T++QPk0uvxtG/f3rN9++23m7h169Ym9i8XPW7cOBPLOWIo9/zz8rium9R58ZZop/guuugiz/bq1auLqSWxySWiL7nkEs8+25di79+/v2e7WbNmJm7cuLGJ//KXv2StDeXLl/dsd+rUycTDhg0z8fLly7PWhpLCP19fvPn7Mj1fTvPmzU388MMPJ9UGyo2xY8eaeOvWrWlfj/nMro8++sjEAwYMiHnM4MGDPdvnnntuVttE2Td//nwTz5o1y8R169b1HFenTp1cNSkwjuwhIiIiIiIiIrIIH/YQEREREREREVmEZVxxyCUpx48fH/c4OUSWMuv333838cqVK03sL03wLy+83/Dhw7PTsCxYsmRJcTchYxYtWuTZlsNd5TBjuVRzIjVq1DDx22+/7dknl4WWpXD+Mrh45XOUG7J0LtmyLTlcFmDpVip2795d3E1I6IsvvjDx6aef7tknl4++8sorTXzkkUdmv2E5cOCBB3q227VrV0wt+cPhhx9uYllO9N133xVHc6zSpEkTz/ann35q4o4dO5rYv/S63JcK+dnC/557yCGHmJjLrefGvHnzTDxmzJhibAkVRX6+BLxL28u+dOaZZ5p44MCB2W8Y5dSUKVNMLKd18X9myWcc2UNEREREREREZJEiH/YopcYrpTYrpT4XP6uqlJqhlPoq+v9DEl2Dih/zGH7MoR2Yx/BjDu3APIYfc2gH5jH8mEM7MI/2SaaMqwDAwwCeET8bCGCm1vp+pdTA6PY/M9+84rNu3ToT+1dyqlq1qomPPvronLUpTQUIWR7l0PEePXqYOF7ZVj6qUqWKZ7t06T+6nPx39OKLLyZzuQKELIdA/HIt/88rV65s4g4dOphYrpy2ceNGzzkPPfSQiT/44IMi75knChDCPKYj2dKtEClACHJYr149z/Y333wT87hGjRp5tmWf27Vrl4mvvfZaE9evX99zjixpbtu2bdw2bdmyxcRyxcT169d7jrv77rtNfMQRR5i4a9euca+dggKEII+UUAFCkMMRI0Z4trt16xbzuFNPPTXte8nPEw888EDa18uRAoQgj6lYu3atia+66ioTy6kKUiVXf6pZs2ba10tTASzK4eOPP+7Zfuedd2Ie169fPxOXK1cuq23KkQJYlMd0jRo1KubPL7744hy3JHVFjuzRWn8A4HvfjzsCmBiNJwK4MMPtogxjHsOPObQD8xh+zKEdmMfwYw7twDyGH3NoB+bRPqnO2VNTa71/uMu3AOI+TlZKXauUKlRKFcrf6FFeSCqPzGFeY1+0A/ti+LEv2oF9MfzYF+3Avhh+7It2YF8MsbQnaNaR5XV0gv1PaK2baa2bVa9ePd3bUZYkyiNzGA7si3ZgXww/9kU7sC+GH/uiHdgXw4990Q7si+GT6tLr3ymlammtNymlagHYnMlG5YN4tZmAdxlYuSx0COVVHv31y3feeaeJP/nkk6SuIZezlcviVahQwXPc+++/b2L/vBaZ9Mgjj3i25Tw9/nkyUpRXOQSAWrVqebbbtGlj4tmzZ5v40ksv9RzXp08fE//0008mlnPxXHfddZ5z/PN8hFje5TFdZ511VuBzHMcxcQiXWs+7HL7wwguebfmaKPtO5LPbH+R8PHJ55vfee8/Eyb5ubt261bM9aNAgE3/99dcmrlSpkuc4mf9zzjknqXtlSN7lMVfkErPTpk0zsX/Z8BDIuxzKOemAzMzNE8+3335rYrlUsJ+cPyZP5V0ek7F7927P9l133WXiNWvWZPRexx13nInzdK7CUOYQ8L4GJjJgwAATyzmUAO97a7L5adasmYl79+7t2Zeh7w2pCG0eg5o8ebJnW34fady4sYkTzU2Yb1Id2TMFwP7Z5boBmJzgWMpfzGP4MYd2YB7Djzm0A/MYfsyhHZjH8GMO7cA8hlgyS6+/COAjAMcopTYopXoCuB/AOUqprwC0jm5THmMew485tAPzGH7MoR2Yx/BjDu3APIYfc2gH5tE+RZZxaa27xNl1dobbklf8wzClatWq5bAlmRGGPA4dOtSzPWHChKTOk8ubDxw40MRymWD/8MnFixebuGXLloHaWVzCkEMAaN26ddztZcuWmbhhw4ae4z766CMTy7KNvXv3mthfbpKnw5YTCksekyHL8oD0S7eGDBmSZotyIyw59JdU3nbbbSYePXq0ib/44gvPcT169DCxXLrZv9x6PNu3bzdx586dPfvmzJkT8xz/64F/KHU2hCWPqXjqqadM/OOPP8Y8Zs+ePZ5t+R68b98+E8uygnxjcw6T5e8rshwvkeOPPz4bzUmJTXn0v+a9++67xdSS3LIhh1dffbWJp06d6tknl7bv27evieX3Dr9UyriWLFli4ldeecWz7+mnnzbxJZdcktT1grIhj+nYtm1b3H1y+okyZcrkojkZkfYEzURERERERERElD/4sIeIiIiIiIiIyCKprsZlJTn0PFEJ0dlnl4iRbDnXvHlzz7YsQdi0aVPc83bs2GFiOZzyl19+MfEFF1zgOScspVu28ZdqSLNmzTKxLN2i/JVK2ZbMMxB/1a1EJV1hKffKN7feequJTzrpJBP7V8Z76623TCxXLiwoKDDxRRddFPc+cp9cTc9Prg4mV+mi9N19990mlqszJeuGG24w8ciRIzPSJsocuZJdp06dPPvilY74y02yVQZSUsiVtdq3b2/iFStW5KwN8rvKKaecYuK6devmrA1hJz9vypWY/WVX3bt3N3H//v1NLFdl3rJli+ecfv36JdWGiRMnmliW/b388sue426++WYTn3DCCSY++uijk7oPxSZX3Bo3bpxn38knn2ximfcw4cgeIiIiIiIiIiKL8GEPEREREREREZFFWMYlrFu3zsRy2PNRRx3lOU4Of6fM8ZfHDR482MT33HOPiTds2JDU9eQw9meffdaz76WXXjJxkyZNArWTsqOwsNDE/lW39vMPq5XDZ+UwTFnaBwCjRo0y8YgRI9JqZ0mXygpocsWteGVbQa7tum7MawMs8UrWmWeeaeLPPvvMs0+WhSxatMjEV1xxhYl79erlOUeuoPfxxx/Hva9cwWLs2LEm5vtqZskVmWbMmGFiuYKeXAEx0fk33nijZ1+jRo0y0EIKavz48SaWn48SvW7WqVPHxHKVPQpOfkcAgHPPPdfEK1euzHVzAADTpk0zcbt27UzsL5f2r8xIf3j00UdNvHXrVhN369bNc9x9990X83z/camQ15CxfzUuWSYm/z2yjCs906dPN7H/85Ds52FagUviyB4iIiIiIiIiIovwYQ8RERERERERkUX4sIeIiIiIiIiIyCKcs0d47733Yv68adOmnu1y5crlojkl3vXXX29iOR/E008/7TnumWeeMfE333wT81pffvmlZ1vOGzJz5kwTN2vWLKW2UvoeeeQREx977LEm3rZtm4nlvwPAu3Tspk2bTNyxY0fPcQsWLDCxXOIyE7XWFJvsY5mYpyceOX9PkPvSH2rWrOnZ/u9//2viF154wcRdu3Y1seyvAPDwww+bWObU//4pl3/mPD3ZI5eLlXGyS9zL+V388zPNmTPHxGXLlk21iRTDxo0bPdvXXHONiWW//OGHH+Je47DDDjPxpEmTTNygQYNMNLHEGj58uGe7uObpiUe2Z+3atZ59nLPnD/IzJfDn97L9GjZsmIvm/ImcV82vcuXKJj700ENz0JqSYeHChXH3tW3bNoctyQ6O7CEiIiIiIiIisggf9hARERERERERWYRlXIJ/ueb9/va3v+W4JSWTf0jsmjVrTCyXlLz33ns9x8lSnttvv93EiYZC7tq1y8SyNEGWLABclj2X5DBjf46Dnn/LLbd49nXv3t3EsoyEZVyx+fuOv1QqHlk21bJly5jnn3XWWUmdn6j/Uu6cd955JpZlV7I0EgC01jHPf/PNNz3bssSE8tcDDzxg4osvvtizr1+/fiYeNWqUiQ888MDsN8xysr8BwJIlS4o8p0qVKp7td955x8QnnnhiZhpGeU+WVJYvX74YW5Lf/O9d/pK3/XL5+XDEiBEmdhwn7nFDhgwxMcug0yPL+fzTg0i9e/fORXOyiiN7iIiIiIiIiIgswoc9REREREREREQWYRmX8J///Cfmz88999wct6Rkeu655zzbspTnhBNOMLF/mLMcyvjEE0+YePXq1SaWQyQBYNasWSZesWKFiS+//HLPcXL1hUsvvTTxH4DIEv6yrXglVf7VruKVbmWTf8gzV+DKrIMPPtjE//d//2fiRKtXpLvCGhU/udKLXNEJADp37mziAQMGmHjkyJGe41jWFZ+cNmDYsGEmXrx4see4eH1Jlm7NmDHDs4+lW/YqXbp03O327dubuHHjxjlrU9g89thjcffJlQurV6+e0ftu3rzZxP4VYxctWmTiX375xcQyp4B3lWJKj5y2Y8OGDSa28Ts/R/YQEREREREREVmED3uIiIiIiIiIiCzChz1ERERERERERBbhnD2CrFGX9u3bl+OWlExz5871bP/+++8m/uyzz2LGfocffriJO3ToYOJ169Yl1YYvv/zSsy3n/aHUzJ8/38SyHjqb/EtrUtHkvDzJLnvuny8n3eXSU7mvXIqUMm/Tpk0mnjhxYuDz/fOljR07Nu02UW7556545ZVXTHzaaafFPe6uu+7KbsPykHzv+eCDD0z80EMPeY6L95lEa53UfeRxt99+u2ff+eefb+JU5s/yt0FeQ85rWKtWrcDXDrPDDjssqeNGjx7t2Z4+fXrM45YvX27iZD+jynlGAM4lmYo9e/Z4tuW/93Rfs6ZOnerZfvvtt02caK6gcuXKmVh+vhk8eHBa7aH4XnvttZg/b9asWY5bkn0c2UNEREREREREZBE+7CEiIiIiIiIisgjLuIQGDRqYeNq0aSauWLFicTSnxPEvOZoKuXxeoiGT8fiHJf/9739Pu00lzbPPPuvZ7tatm4nlkNR//vOfnuPKly8f+F5yiUq5FPSLL77oOU4O003lPiVBKkuWn3XWWZlvSBws3SoeS5cuNfHu3btN3KhRI89xPXv2NLHsf/7Xgz59+pj4qKOOylg7KXdkudZBBx1kYn8p9k8//WTikrIMuyzd6tevX9zjki2vinfczp07Y94TAObMmRP4PlKiMi5Zwjdp0iTPcbKM3kZ33nmnZ7tmzZomPvXUU0180kkneY6Tr3nS6aefbuJky7jq1q2b1HEUn79PyO1TTjklqWv88MMPJpafRx5//HHPcT/++KOJK1SoYOI2bdp4jpOvFfLfBWXWjh07TCyn7ahUqZKJbVzeniN7iIiIiIiIiIgsUuTDHqXUEUqpWUqpZUqpL5RSvaM/r6qUmqGU+ir6/0Oy31xKBXNoB+Yx/JhDOzCP4ccc2oF5DD/m0A7MY/gxh3ZKpozrVwC3a60XKqUqA1iglJoBoDuAmVrr+5VSAwEMBPDPBNfJe5s3b475czlLekiFIocPPvigZ/vqq6/OeRueeOIJz3auVo9KUijy6CeHyA4dOtTE77//vuc413VNLMuDPv/8cxP/9ttvnnNkucioUaOSasONN96YTLOzJRQ59K+yJXOTq/v6y8pSKTPLolDkMVVr1641cdeuXU1cpkwEbQLEAAAgAElEQVQZE99xxx2ec+QqPQcc8MfvkXr37u057ueff85UM9NldQ6zad68eSZeuXKlif0lJvLfQRYxjzn06aefmviKK67w7JPlYwGFIodly5b1bKf7WWLZsmVpnZ+HQpHHROSKoFWqVPHsk98R5aqScgoBvwsvvNDEAwYMMLFcxTDPhD6Hicj3LrnSqCzdSnbVvTAp8p1Ya71Ja70wGv8AYDmA2gA6Ati/DutEABfGvgIVN+bQDsxj+DGHdmAew485tAPzGH7MoR2Yx/BjDu0U6NcuSqm6AJoA+ARATa31/sdi3wKoGeeca5VShUqpwi1btqTRVMoE5tAOzGP4MYd2YB7Djzm0A/MYfsyhHZjH8GMO7ZH0wx6lVCUArwHoo7XeJffpyNT9OtZ5WusntNbNtNbN5AoOlHvMoR2Yx/BjDu3APIYfc2gH5jH8mEM7MI/hxxzaJaml15VSZRBJ+vNa69ejP/5OKVVLa71JKVULQOwJb0Jk9erVJv7rX/9q4uOOO644mpNRYchh9+7dPdvnnnuuiffu3Wvif/3rX57j5Nwvy5cvT+pef/nLX0z8+uuvm7hp06ZJnV9cwpDH1q1be7ZPPPFEE3/22Wcm/vDDDz3HXXbZZSaWS5fKeQDkUr5A8svK1qlTx8SXXHJJUudkSxhy6Cfny5E17ckK0Vw8SQtjHpP173//28Rbt241sVxCWM7R4zd+/PjsNCzDwp7DNWvWmFi+fgLA9u3bY55TuvQfH/v69++f1H1efvllz/bSpUtNLN+b/X1ZzvGUTfmUx/POO8/ERxxxRNzj5NLpw4cPN3GiuefeeustE8slhJcsWeI5rnnz5iZevHixiXft8nxnS6ptsbaL+nkq8imHudKtWzcTP/TQQ3GPq127tonld5N8FIY8NmzY0LM9Y8YME3fp0sXEkWcaf4j3ebNevXomfuaZZzz78nhunrjCkMNUyVxLxf29INuSWY1LAXgawHKttZxBdwqA/a9U3QBMznzzKBOYQzswj+HHHNqBeQw/5tAOzGP4MYd2YB7Djzm0UzIje84A0BXAUqXU/l/LDwJwP4BXlFI9AawD0Dk7TaQMYA7twDyGH3NoB+Yx/JhDOzCP4ccc2oF5DD/m0EJFPuzRWs8DEK9W4uzMNid/lCpVKmYcRmHJoX+IpCy1kh5++GHP9p49e0zsL/OJRw5lP+igg5JtYrEKSx5r1arl2Z4+fbqJb775ZhO/+uqrnuO2bdtm4nhDLZMlh9UC3iXf/csD51JYcjhkyJDibkJeC0seU7Vq1aqYP69cubKJ5dKzgLfcUi4p7C/tyZdlTW3IYWFhoYnnz58f+PyePXum3YYGDRqY+B//+Efa1wsq3/J49NFHx4wTSTYPuSo18C8lLT9zyX4+adKkjNwv33KYK5deeqmJE5VxyXLAQw89NKttSkdY8iiX2QaAr776ysRTp06Ne16NGjVMfPfdd5v4yiuvNHFYvk/EE5YcpmratGkmlu9dp556anE0J2cCrcZFRERERERERET5jQ97iIiIiIiIiIgsktRqXET5rGLFijFjyg9y+cUXXnjBxOPGjfMcJ1dZe+CBB5K6tlz5pF27diaWw2qB8A+tJcoHw4YNi7tPrlwiS3KPP/54z3GyFIzS06lTJxP7V3GSpbByRURZwpyq+vXrm1iWbpUrVy7ta1Pxk6thAuFZXS9sGjdubGJ/WWzv3r1N/PTTT+esTSWBv7xSrnJHdqtUqZKJZR+TP7cRR/YQEREREREREVmED3uIiIiIiIiIiCzChz1ERERERERERBbhnD3CrbfeamK5XDQRZUapUqVMLJexBIARI0bEjIkoXNq0aWPie+65pxhbYjc5/06/fv08+/zbRJRf5Dwh8vtHrG0iSt+CBQuKuwnFgiN7iIiIiIiIiIgswoc9REREREREREQWYRmXIJdr9i/dTEREVBK0bdvWxJMnTy7yGABo0aKFifv27WvismXLZrh1RERERJQMjuwhIiIiIiIiIrIIH/YQEREREREREVmEZVxERERkXHfddTFjIiIiIgoPjuwhIiIiIiIiIrIIH/YQEREREREREVmED3uIiIiIiIiIiCzChz1ERERERERERBbhwx4iIiIiIiIiIovwYQ8RERERERERkUWU1jp3N1NqC4B1Obsh1dFaV8/kBZnDnMt4DgHmsRiwL4Yf+6Id2BfDj33RDuyL4ce+aAf2xfCLm8OcPuwhIiIiIiIiIqLsYhkXEREREREREZFF+LCHiIiIiIiIiMgifNhDRERERERERGQRPuwhIiIiIiIiIrJI6eJuQLYoV40H0AHAZu3oRlm4fgGAlgBGaEc/plzVAsAYACcAuFw7+tXocfUAvAagvnZ0pUy3w3bKVWsB/ADgNwC/akc3y/D1C+DNY3cAowB8Ez3kYe3op5jH1ClXlQPwAYADEXnNeVU72snwPWYDqAWgv3b0FOWqYQA6AvgdwGYA3bWjNypXXQbgHgArtKM7ZLINtlOuqgLgKQCNAGgAV2tHf5TB6xdA9MXozzoDGBK932Lt6H+wL6ZHueo2ANcg8ne6FEAP7eh9Gbz+bHj7YmMAjwEoB+BXADdqR3/Kvpgavp7aQbnqCADPAKiJSF98Qjt6bIbvUQDv55u+iPT9XwFsQeQ1fB1fU9OjXFUKQCGAbzLdD/x9Ufz8dgAPAKiuHb2VfTE9/HwTfvzeH5/NI3sKALRL9WTlqkOSOKz//k4LYD2A7gBekAdoR/9PO7pxqu0gAMBZ2tGNU3nQk0IeAeDl6P0aa0c/BTCPafoJwN+1o08E0BhAO+Wq04JcIMk8XiE+DI3Sjj4hmrO3AQwGAO3olxH5sEvBjQUwTTv6WAAnAlge5OSgfVG5qgGAOwCcoR19HIA+APtiOpSragO4FUCz6IehUgAuD3iNoH1xJAA3mrPB0W32xdTx9dQOvwK4XTu6IYDTANykXNUwyAVS+HyzCJG+fwKAV/FHX+Rranp6I+D74X4p9MX9DwrbIPK9AwD7Ygbw8034FYDf+2OydmSPdvQHylV107jEOOWqwwA8DeC1on7zqR29FgCUq35P456UeYHySJmnHa0B7I5ulon+pwNe5k3lqp2I/OZlqnb0r0Xcc5fYrJjC/UhQrjoYQAtE3tigHf0zgJ8DXiZoX+wF4BHt6O3Re24OeD+KrTSA8spVvwCoAGBjwPMD9UVE+t5B0fjgFO5HAl9P7aAdvQnApmj8g3LVcgC1ASwLcJmgn1Nnic2PAVwZrNXkp1x1OIDzEBlV0zeFSwR9PQWA0QAGAJicwv3Ih59v7MDv/fHZPLInLdrRVwLoD+B0AF8oV41TrjqxmJtVEmkA7ylXLVCuujbwyanl8WLlqiXKVa9Gf4NCaVKuKqVc9RkiJQAztKM/CXiJVgAeBHAJgOXKVfcqV9Uv4p73KFd9DeAKRH8TTSk7CpFh/xOUqxYpVz2lXFUxyAVS6ItHAzhauepD5aqPlatS/o0NRWhHf4PI0P/1iHzR3Kkd/V7Ay7RCsL7YB8CoaF98AJHfZlIa+Hpql+gXlCYAAuUxzc+pPQG8G+R+FNMYRB68pPqFrxUC9EXlqo6IlIstTvF+9Gf8fENWf+/nw54EtKMXaEffBOA4AKsAfBqteabcOVM7+iQA5yIyzLlF0AsEzONbAOpGhznPADAxxXaToB39W3RY4+EATlGuClRPqx2ttaNna0dfBaApIg8BVyhXXZzgnDu1o48A8DyAm9NoPkVGg5wE4FHt6CYA9gAYGPQiAftiaQANEPkw3AXAk9G6ekpRdJhyR0Q+3B4GoKJyVaDf7qfQF28AcFu0L96GyG/NKA18PbWHclUlROZ36OMbQZWUVD6nRvt8M0TmJ6QUKVftnx9kQarXCNIXlasqABgEPmzNNH6+IQD2fu+3tozLLzpC463o5mOIzFXQK7rdHsAERCbKK9SOviZ6TunovqsB1EfkBfa5HDa7xIv+Jhra0ZuVq94A0FK56qHo7oznUTt6m9h8CtGadsoM7egdylWzAJynXLU/B4MBnIrIUGgg8oFn/4enKdrRgwFAuao8gE6I5LEKInXyM5K47fMApgLI6CSmJcwGABvECIJXAQyJji4AsvOaugHAJ9rRvwBYo1z1JSIfjuZn8g9WwrQGsEY7egsAKFe9DuAK5ap+0f3Z6IvdovsBYBIir6uUAXw9DTflqjKIPOh5Xjv69Vx8TlWuag3gTgAttaN/yvgfqmQ5A8AFylXtEZmA/iDlqncRmVAZyHxfrIfIg/rFylVA5GHvQuWqU7Sjv83wn60k4ecbC/F7/x9KzMMe7eivEZnMUHpExG3ljuiTvJsBzAXwL+3oudltIflFh1EeEK1nr4jIhHRDtaOH+Q7NWB6Vq2pFa+kB4AKkOOke/UG5qjqAX6JfTMoDOAeR2exlf5yCyAfQ/Rr7rjESwKUA3kFkgrRFRdyzgXb0V9HNjgBWpPnHKNG0o79VrvpaueoY7eiVAM4GsFA7ur/v0Ey+pr6JyG+8JihXVUNk2PPqdP4chPUATov+hngvInmcqh09ThyT0b6IyBw9LQHMBvB3AF8lPJoS4uupHZSrFCKj3JZrRz8IZP9zqnJVEwCPA2jHOULSpx19B6JlqcpVrQD0039eCStjfVE7eimAGuLctYhMuL019T8F8fONnfi9/w/WPuxRrnoRkeFx1ZSrNgBwtKODDB9fAqBxssNqlatOBvAGgEMAnK9c5erIDOuUupoA3oj+BqM0gBe0o6cFvEagPAK4VbnqAkRWyvge0QnbKC21AExUkeVJDwDwinb02wGvMRvA4CQmvdvvfuWqYxCpo18H4PqA96M/uwXA88pVZRH5UNIj4PlB++J0AG2Uq5YB+A2RD8LbijiHEtCO/kS56lUACxF5jVsE4ImAl5mNYH2xF4Cx0d+Y7QMQeO418uDrqR3OANAVwFIxgmCQdvTUANcI+po6CkAlAJOin6vWa0dfEOB+lHmzEawvUnbw803I8Xt/fNY+7NGO7pLm+f8JePx8RIZUUoZoR69GZAnEdK4RNI/mNzWUGdrRSxCZfDKdawT5AAzt6LhzT1BqtKM/Q2Seh1TPD9oXNSKrm4S+XjqfaEc7SKMEJ4W+OA+R8gXKAL6e2iHaL1Sa1wj6mto6nftRfNrRsxF5cBP0vEB90Xdu3VTPJS9+vgk/fu+PjxM0p24ngGHKVQl/w6VcVS/6W5vvctMsCoh5tMP3AAqio7LiUq66DMC/AWzPSasoCPZFO7Avhh9zaAe+poYf+6Id2BfDL7Q5VFrr4m4DERERERERERFlSFoje5RS7ZRSK5VSq5RSgZepo/zAPIYfc2gH5jH8mEM7MI/hxxzagXkMP+bQDsxjOKU8skcpVQrAl4isBLEBkeXiumitl8U7p1q1arpu3bop3Y+CW7t2LbZu3ZqwJjxoHpnD3MpGDgHmMdfYF8OPfdEO7Ivhx75oB/bF8GNftAP7YvglymE6EzSfAmCV1no1ACilXkJkSc64nbdu3booLCxM45YURLNmSc01FiiPzGFuZSOHAPOYa+yL4ce+aAf2xfBjX7QD+2L4sS/agX0x/BLlMJ0yrtoAvhbbG6I/81BKXauUKlRKFW7ZsiWN21GWFJlH5jDvsS/agX0x/NgX7cC+GH7si3ZgXww/9kU7sC+GVNZX49JaP6G1bqa1bla9evVs346ygDm0A/MYfsyhHZjH8GMO7cA8hh9zaAfmMfyYw/yUzsOebwAcIbYPj/6MwoV5DD/m0A7MY/gxh3ZgHsOPObQD8xh+zKEdmMeQSudhz3wADZRSRymlygK4HMCUzDSLcoh5DD/m0A7MY/gxh3ZgHsOPObQD8xh+zKEdmMeQSnmCZq31r0qpmwFMB1AKwHit9RcZaxnlBPMYfsyhHZjH8GMO7cA8hh9zaAfmMfyYQzswj+GVzmpc0FpPBTA1Q23JW/Pnz/dst23b1sQXXnihicePH5+zNmVSScmjzZhDOzCP4ccc2oF5DD/m0A7MY/gxh3ZgHsMp6xM0ExERERERERFR7vBhDxERERERERGRRdIq47LZr7/+auK+fft69u3YscPEl112Wc7aRERERERERERUFI7sISIiIiIiIiKyCB/2EBERERERERFZhGVcwp49e0x8xRVXmHjevHme47p162ZiuTIXhZMs2fPnunPnzibesmVL4GsPGDDAsz1ixIjA1yAiIsqE7du3m7hq1aqefYMHD44ZlypVKvsNIyoBli1bZuKzzz7bxD169PAcd++99+asTZQ5/u+E8rvkVVddlevmEAHgyB4iIiIiIiIiIqvwYQ8RERERERERkUX4sIeIiIiIiIiIyCKcs0cYNmyYiSdPnmzimjVreo5jLW34LFq0yLM9c+ZME0+dOtXEs2fPjnuN8uXLm7h79+6efe+++66J161bZ+K33nrLc9wdd9xh4ipVqiRuNBERUZYopTzb8jPQAQf88btAx3Fy1iZK3z/+8Q8TFxYWmnjhwoWe4ypVqpSzNpVkn3/+uYnbtGlj4m+//dbE8jMkwO8ZYfL777+b+JRTTvHsO/XUU3PdHEqT/A4HAHPnzjXxihUrTOzvo1prE8v31qFDh3qOu+uuu2Let2vXrp7t6dOnm1i+PjRt2jRu2+PhyB4iIiIiIiIiIovwYQ8RERERERERkUVKfBnXxo0bTTx27NiYx8glSAHgsMMOy2qbKDPGjBljYn8Od+/ebeIyZcqY+Mgjj/Qc9+qrr5pYlvN98803nuMmTJgQsw116tTxbLN0K5zkMGwAePjhh2Me99hjj+WiOUREWfXggw+aWJYFAUCDBg1y3RxKYNWqVZ7tl156ycSynMD/Pnbaaadlt2EEwDttwKZNm4qxJZQN06ZNM/Hw4cM9+7p06ZLr5lCSPvjgAxPfd999JvaXu27dutXE8Uq1/OQ+OS0M4C3j2rJli4nnzZsX975yH8u4iIiIiIiIiIhKOD7sISIiIiIiIiKySIkv45JDo/bt2xfzmF69euWqOZSCvXv3mnjkyJEmHjFihIn9uW3fvr2Jn3/+eRPLYXMAUK9evZj3/PHHHz3bFSpUMPFPP/1k4latWiVqOuWxiRMnmrhPnz6efbt27TJx7969c9amfCf/7W/fvt3Ejz76qInlsFX/vmS1bNnSxHIFIQBo3rx54OtRcvbs2WPiH374wbPvmWeeMfHAgQOTul67du1M/Nprr3n2ydUPKfdq165tYpZt5bf33nsvqeNkTil3LrnkEhPLMh//500Kp1KlSsXdJ1f7bdiwYS6aQ4L8zAIAb7zxhonl6ley7EqWagFAjRo1TFy1alUTr1y50nOc/7xkLFiwwMT+VcDk9dL9XMuRPUREREREREREFuHDHiIiIiIiIiIii/BhDxERERERERGRRUr8nD3vvvtuzJ+fc845Jk5Uj0m556+TlEvmyXkjEpFLsR988MEx40Tmzp3r2Zbzk1SsWNHErVu3Tup65CXnYfrf//5n4urVq3uOq1mzZkbvu379ehPfc889Jt65c6fnuDPPPNPE8t9SSbBx40YTy3mNAOD99983sVxuVvLXNSdavjKeOXPmmLhjx46efXI5zUaNGgW+NgGrV6828SOPPGJi+Xcra80Bbx6TzalcstY/Z8+VV16ZXGMpK/zLrVP+kq/JiZQrVy7LLaFY5FxJZcqUiXnMmjVrPNvyMybnoQuvQw45pLibUKLJ74f+7XifWVq0aOE558EHHzTxscceG/fa8juDvN6gQYM8xy1fvtzE3bp1i3kO4P2+U61aNaSDI3uIiIiIiIiIiCzChz1ERERERERERBYpcWVcr776qmdblv2ULVvWxEOHDjXxAQfwmVhxkMs4v/LKKya+4447PMclO4Q5XW+//baJb7311rjH3XnnnSZu2rRpVttkk19//dXEN9xwg4llH/WX7MhlFFMhy8UA4LLLLjPxqlWrTCxL8wCge/fuJq5SpUpabQiD2bNnm7hHjx4m9i8VGU+dOnVM3KtXL8++k08+OalrzJ8/38RPPvlk3DZ89NFHJmYZV3zy9XXSpEmefX379jXxtm3bkrre8ccfb+JatWrFPe766683cZ8+fZK6NhHFN3ny5OJuAqXJXyo+ZswYE7OMK7998skncfdt3rw5hy0hwLuk+nPPPefZJ0uljjzySBOPHj3axJ06dUrqPv5l3StUqGDiZ599Nu71hg8fbmL578NfxnXLLbfEbGsq+BSDiIiIiIiIiMgiRT7sUUqNV0ptVkp9Ln5WVSk1Qyn1VfT/nIEqzzGP4ccc2oF5DD/m0A7MY/gxh3ZgHsOPObQD82ifZMq4CgA8DEAuczQQwEyt9f1KqYHR7X9mvnmZt3jxYs/277//buK//vWvJj7ttNNy1qYcKUAe5lEOXfWvxjJq1CgT+1fgkuTQufPPP9/EU6dONbHMs/+cRFasWGFix3FMvG/fPs9xl156qYkHDBiQ1LVTUIA8zGGqZNkWAFxzzTUmlqVbpUv/8TKVibI4WbrlX3Em3nBc+e8KAK6++up0mlCAPM/jiBEjPNtyxbGff/7ZxFWrVvUc16FDBxPLVQb+9re/mThRiU8icoXEzp07m7ht27ae4+TriL9kLIMKkOc5LMqHH35oYpmrZD311FOebTlUOdEKJJ9/bj4/4scffzTxsmXLArchAwoQ8jwGtWTJkuJuQqYVoITl0M+/wqHclq+V/tUs80wBSkAe27VrZ+IJEybEPS5RaVAeK0AJyGEJUICQ5fH111838Ztvvmlif2mU3C4sLDRxKqtdyZW5AO+qW/LzkCzbAryfrxOtYnrXXXcFblM8RY7s0Vp/AOB73487Ati/5u5EABdmrEWUFcxj+DGHdmAew485tAPzGH7MoR2Yx/BjDu3APNon1Tl7amqtN0XjbwHUjHegUupapVShUqpwy5YtKd6OsiSpPDKHeY190Q7si+HHvmgH9sXwY1+0A/ti+LEv2oF9McTSnqBZR8aL6gT7n9BaN9NaN8vzIaQlWqI8MofhwL5oB/bF8GNftAP7YvixL9qBfTH82BftwL4YPqkuvf6dUqqW1nqTUqoWgLxeW27p0qUmlsur+Y0fPz4XzcknxZLHH374wcSXX365iadPn57U+f46ybvvvtvEXbp0MfF1111n4rPPPttzjlySWc6/8+ijj3qOk/P0yHl/br/9ds9xruua+IADcrrIXaj64vr1600s54EBvPP0SHKp5lRrWNesWWPiO+64w8SJlqyV8zD5l2/MgmLPo1xe3Z+bX375xcStWrUy8bBhwzzHnXnmmVlpm1/9+vVNvHDhQs8+//wVOVTsOSyKXL6+Y8eOSZ0j68uvuuoqE9eoUSOp8+UcPYB37iX5m793333Xc9y9996b1PWzIO/zmI7y5csXdxNyweocAsBnn31mYvm+Cvx57ocQsy6Pf//7302caM4ei1iXwyBkvkMur/P43nvvmVguie7/PCi/F6YyT4907bXXxt0n5+mR31GB+Mu/y+XaMy3Vb6VTAOyf0bEbgPjfmCifMY/hxxzagXkMP+bQDsxj+DGHdmAew485tAPzGGLJLL3+IoCPAByjlNqglOoJ4H4A5yilvgLQOrpNeYx5DD/m0A7MY/gxh3ZgHsOPObQD8xh+zKEdmEf7FFnGpbXuEmfX2XF+nnemTZtmYjm8C/Aut964ceO07uNf3jvH5TwJ5VMe5fC2ZEu3ypYta2L/8P4LL4w9Kfzjjz8e93py+dkXX3zRxP4lpw888EATy5KugQMHFtHizMunHAYhl1SW5XTfffdd3HPOO+88E/uXLUyGLM0DgCuuuMLEH3/8sYkrVKjgOe6GG24wcbZK8/I1j3IYrFxeHQAqVqxo4pEjR5r45JNPDnyfb7/91rP9r3/9y8SvvvqqideuXRv3GnJo7sEHHxy4DenK1xz67d2717MtX8N2795t4ipVqniOk0uXtmzZMua1/XmUZVhDhw418bp16+K2T+bRXxqbC2HJYyYl+54bFiUxhwAwY8YME/s/14ZRSc1jPBs3bjTx008/beKePXsWR3OSwhz+WdWqVYu7CYGFPY+Jylj904BkkvyuEm95df+2nFqmefPmWWtb/jyNICIiIiIiIiKitPFhDxERERERERGRRVJdjStUPvzww7j7mjZtauJkV6nYtGmTieXwynfeecdz3FlnnWViufLJqaeemtR9bOUvLUjG2LFjTRyvbCsIWbIih9tVrlzZc5xchen8889P+762+u2330y8a9cuz76LL77YxLJ0S5bmAd5VCyZNmmTicuXKJdUGWXp03333efbJ0i1Zmudf3as4yvOKk1zFpaCgwMT+YadyZTK5Mlffvn09x8mSn9deey3mPQsLCz3bK1asiHmcRSvKFBv/6oKyhEeWbvlXNJOrVMgyV1kS7V85Il6+EuVRrqp2xhlnxD2OiLz8r6PxtGnTJsstoWyQJa42lOkRZZNcCfaJJ54wsX81Ljm9R+/evQPfR/bFN954w7NPrrolP/ckWhGsU6dOgduQCo7sISIiIiIiIiKyCB/2EBERERERERFZxNoyrjlz5ph45syZJvaX6fTr1y/m+bIkZMiQIZ59snRr8+bNcdsgS0dkqdCoUaM8x/Xp08fE+bSCV7bIkpCHH344qXPefvttE3ft2tWzz7+i0n5yxS254g/gHX4ny3r8pQks3UqOXHHL/3cmS4Vkrm655RbPcf7Sq2TIFYVkjocNGxb3nHPPPdfExbECUD455JBDTFy7dm0T+1damjhxookTlXuNGTOmyHv6y/dkmcGCBQtMvG3btiKvRYn5X88kuWKdXIUO8P7d+0u8Munaa6818VFHHZW1+9AfVq5cWdxNoByqV69ecTeBhNatW5tYvuatWbOmOJpDZIWLLrrIxPff/8eq8PK7CeB9/5OrZ/mndIhHfv+cPHmyZ5/8PCzjZ555xnNcixYtkkdGMRoAACAASURBVLpXJtn/ZIGIiIiIiIiIqAThwx4iIiIiIiIiIovwYQ8RERERERERkUWsnbPnv//9r4nlvB49evTwHHfKKafEPK5Lly4mlvPF+DVq1MjEhx12mGffli1bTLxo0SIT++cJueqqq0wsl7y11YwZMwKfI5e179Chg2efXHJPkvMB7dixw7PvxBNPNLFchr169eqB20beua/kHD1+f/3rX02cyhw9ckl2wDu3yGOPPRb3vBo1aph49OjRJi5TpkzgNthEzmE2cuRIEzuO4zlu3rx5Mc+Xc/4Af+6bsfzzn//0bDds2NDEbdu2NbH/deK4444r8tqUvJ9++snEqbwmlytXzrPduXNnEx9++OEmTtTPu3XrFvi+lJ5kc33qqadmuSUUlJwj0v9eKNWsWdPE9evXz2qbKJiDDjrIxHK+SD/53irfFyn/yO8Xxx57rGdfnTp1ct2cEknOBzp06FATX3/99Z7jtm7damK5VLr8jj5o0CDPOffcc4+J5Xyv/jkrjzzySBPL7xm5Wl49EY7sISIiIiIiIiKyCB/2EBERERERERFZxNoyrnj8y7sWFhaa+OKLLzaxLEUpXdr71ySHhckl3ipWrOg5bvr06SZu166diY855hjPcfGWDrdV//79Tbx69WoT+0tCZCmeHGI3e/Zsz3H+7VgaNGjg2ZYlPyzdSp8shfMPbZSWL19uYn++k7Fr1y7PttY6qfNkyYl/6W+KOOuss0x82mmnefb5/9738782HnrooZlvWFT79u2zdm1Kzo033mjiwYMHe/bJ11G5DKrfySefHPMcyi8yT5R/Er3PyukAateunYvmUJJef/11E69YsSLucfIzC0vx8tvMmTNNXKtWLc8+ft7MPfn5w/+9PN7nyDfffNPEslQLiL+kuv81WD5PyLcpWTiyh4iIiIiIiIjIInzYQ0RERERERERkEWvLuOTs9XJm7eeee85z3EMPPWRiOUu3nFX72Wef9ZzTokWLtNomS7qAklfGJVcA8udD2rt3r4lbtWpl4vnz5we+58aNGz3bY8eONfGAAQNM3Lhx48DXJu8qdwUFBXGP++2330y8c+fOrLXHvzJe+fLlTexfRYj+TP59xdrOpF9++cXEcoUof4leNttgK/97V8eOHU38448/mliuVgcAXbt2NbFcMStR2ZV8jZVlt/48Tp48uahmU4bJkvLt27cXY0soF1iCF35ydWD5mddfYk3FQ05BIcvx7rrrruJoDsXhL6eS23J1QynR9BBNmzY1cSrfRYsLR/YQEREREREREVmED3uIiIiIiIiIiCzChz1ERERERERERBaxds6eunXrmljO9fDll18mdf6wYcNM3Lx5c8++r7/+2sRyjomlS5d6jnNd18Q1a9Y08ciRI5NqQ0m3Zs0aEy9cuNDE/iW75Zw7q1atMrGcp+D777/3nPPSSy+ZWC6FKedqArz1t506dTKxnHeIgH//+98mPv/88z373n777aSuIef9qVSpkollbfSVV17pOUfmoV+/fibu0qWL5zg5/1MqS75T9syZM8fEH3zwgYn9y1recMMNOWuTLRo1auTZ/t///pe1ez3zzDMmXr9+vYn9eUy0ZDRlx44dO0z866+/xj1Ozh94wAH8XWC+8c89GE+zZs2y3BLKtoMOOsjEnKcn/8jX0Z9//rkYW0J+w4cPN/G4ceM8++TcvImWUZfkPnm+jIH8W25d4rs5EREREREREZFF+LCHiIiIiIiIiMgi1pZxVa1a1cTXX3+9iUePHp3U+XK52fHjx3v2LViwwMRyecRE7rvvPhOXLVs2qXNKut9//93Ecsnutm3beo676qqrTFyrVq2Y1/KXEg0cONDEy5YtM7EsAwOA7t27m/jRRx81sSxbAoAmTZrEvG9JIZczl+VusbaDeuWVV0y8b98+z742bdqYWP47kGWTlF9k6SsAjBgxIuZxrVu39myz/C6/+PP4/vvvxzzummuu8WxXqVIla22i2DZs2JDUcRdffLGJZRkJ5YfJkycXdxOICN7vGv7pHyj3/va3v5l45cqVJvYvoy5LsuQy6vJ7ypgxYzznyHKttWvXmvjuu+/2HCe/I+YbjuwhIiIiIiIiIrJIkQ97lFJHKKVmKaWWKaW+UEr1jv68qlJqhlLqq+j/+WvXPMUc2oF5DD/m0A7MY/gxh3ZgHsOPObQD8xh+zKGdkinj+hXA7VrrhUqpygAWKKVmAOgOYKbW+n6l1EAAAwH8M3tNTd2oUaNMLFd4AoA333yzyPPlajGJ+GfilqVCt912W1LXyJJQ5lCW4tWuXdvEciUtAJg7d66Je/bsaeLzzjvPxB06dPCcc+aZZ5p40KBBJn7sscfitueTTz4xsVz5CQBmzpwZ97wMCmUe0/XNN9+YuEyZMp595557rolDUrpVInMobd++3bMdr+/4SzLzrPy1xOfxww8/9GzLPJ5++ukm9g+JzqM8lpgcJvM5J8RKTB5lSYK/PEGSJfAhUWJymKydO3eaeN68eSaWn13zUInJ46JFi0wsV58MyefQREKRQ7niFuAt3VKiVKt69eqe4+T3vd69e8e8tswnADz55JMptzNfFDmyR2u9SWu9MBr/AGA5gNoAOgKYGD1sIoALs9VISg9zaAfmMfyYQzswj+HHHNqBeQw/5tAOzGP4MYd2CjRnj1KqLoAmAD4BUFNrvSm661sAMR9nKqWuVUoVKqUKt2zZkkZTKROYQzswj+HHHNqBeQw/5tAOzGP4MYd2YB7Djzm0R9IPe5RSlQC8BqCP1nqX3Kcj40ljjinVWj+htW6mtW7mH05FucUc2oF5DD/m0A7MY/gxh3ZgHsOPObQD8xh+zKFdklp6XSlVBpGkP6+1fj364++UUrW01puUUrUAbM5WI9NVqlQpE48bN86zTy4v+swzzwS+dsuWLU180003efZdeumlga+XLWHM4WGHHWbi//znPyb212rOnj3bxEOHDjXxPffcY+IDDoj/XDOV+va9e/d6tn/++WcTZ3NOijDmMV2rV682ccWKFT37rrvuulw3J20lMYc2Kul57NixY9x9lSpVMnH58uVz0ZyUlJQcVq5cOanjzjjjjCy3JDtKSh7l0utyXgq/RJ938lVJyWGVKlVMfOCBB5r4p59+8hwnP+s0bNgw+w3LkJKSRzmPkpxTtHPnzsXRnIzK1xyOHj3axIMHD/bsk3OYyYdM8vsh4F2ifc+ePSa+7777TPz44497zpGvtRUqVDBxmzZtkm16sUtmNS4F4GkAy7XWD4pdUwB0i8bdAEz2n0v5gTm0A/MYfsyhHZjH8GMO7cA8hh9zaAfmMfyYQzslM7LnDABdASxVSn0W/dkgAPcDeEUp1RPAOgDhf5xpL+bQDsxj+DGHdmAew485tAPzGH7MoR2Yx/BjDi1U5MMerfU8APHGi56d2eZk3+GHH+7ZnjhxYszYJjbk8JhjjjHxs88+69knl6icMGGCiadPn27iHTt2eM6Ry6in4quvvvJsb9q0ycR16tRJ69rx2JDHVMilRkuXTqryNG+V1BxKc+bM8WzrOEsIt2jRIhfNSQnzCOzevduzLYc6N2/ePNfNCawk5bBbt24mnjZtWtzjGjdunIvmZFRJyqP8/LpkyZK4x+Vz6WQsJSmHHTp0MPGxxx5r4sWLF3uO27z5jyqZ1157zcS9evXKYuvSU5LyKMnpQGSZXhjlcw7vv/9+EycqY5WlWnPnzvXsk9tjxowxcbyl2/3b8vtnp06dkml2XghfYS8REREREREREcXFhz1ERERERERERBYJd00EEYCDDz7YxH369IkZr1271nOOnNVdrqy1YcMGz3ENGjQwsVz5SQ7bBP5cHkiZc8stt5i4VatWxdcQyojCwkLPdrzhuCeffHIumkMBTJ061cSJhjozd+HgX02kZs2axdQSSsYFF1xgYtkX27Zt6zmuR48eOWsTpa59+/Ym9pdxydVo87l0i4AjjjiiuJtQIsjSRv/nDzkdwAcffGBi/7QB8jx5jvz5kUce6TlHfl8MU+mWxJE9REREREREREQW4cMeIiIiIiIiIiKL8GEPEREREREREZFFOGcPlQh169b1bI8dO7Z4GkKBydp1GRNRbiVatrty5comPvTQQ3PRHErSZZddFjOmcOnYsaOJP/30UxMPGzasOJpDabr33ntjxpT/Bg0aFDOm7JFz58hl2IHE8/lIcl/16tVNfNFFF5nY/3parVq14I3NMxzZQ0RERERERERkET7sISIiIiIiIiKyCMu4iIiIqEiTJk2Ku69Dhw4mPumkk3LRHKISpUaNGiZ+8skni7ElRES51adPn5gxFY0je4iIiIiIiIiILMKHPUREREREREREFmEZFxER5UyzZs3i7uvfv7+JGzZsmIvmUAAnn3yyiWfNmuXZ17dv31w3h4iIiIgS4MgeIiIiIiIiIiKL8GEPEREREREREZFF+LCHiIiIiIiIiMginLOHiIhy5rLLLku4TflrypQpxd0EIiIiIkoSR/YQEREREREREVmED3uIiIiIiIiIiCyitNa5u5lSWwCsy9kNqY7WunomL8gc5lzGcwgwj8WAfTH82BftwL4YfuyLdmBfDD/2RTuwL4Zf3Bzm9GEPERERERERERFlF8u4iIiIiIiIiIgswoc9REREREREREQW4cMeIiIiIiIiIiKLlC7uBmSTclUVAE8BaARAA7haO/qjDF6/AEBLACO0ox+L/qwzgCHR+y3Wjv6HclU9AK8BqK8dXSlT9y8JlKtuA3ANIn+fSwH00I7el8HrzwZQC0B/7egpylWNATwGoByAXwHcqB39qXLVZQDuAbBCO7pDpu5fkihXlQJQCOCbTP8d+vMofn47gAcAVNeO3so8pk65qjeAXgAUgCe1o8dk+PoFEK+nylV1AIwHUB3A9wCu1I7ewNfT9DCP4adcNR5ABwCbtaMbZeH6BfDmsAWAMQBOAHC5dvSr0eOYwxQxh3ZgHsOPObQDvy/GZ/vInrEApmlHHwvgRADLg5ysXHVIEof1Fw96GgC4A8AZ2tHHAegDANrR/9OObhyo5QTlqtoAbgXQLPoCXArA5QGvkUwOrxAPCEYCcKP5Ghzdhnb0y4i8iFDqeiNgH9wvhTxCueoIAG0ArN//M+YxNcpVjRB5QHAKIq+lHZSr6ge8RqDXU0Qe0j2jHX0CgKEA7gP4epoO5tEaBQDapXpyCjlcD6A7gBfkAcxhWgrAHNqgAMxj2BWAOQw1fl9MzNqRPcpVBwNogUiHgnb0zwB+DniZccpVhwF4GsBrSTwh7AXgEe3o7dF7bg54P/qz0gDKK1f9AqACgI0Bz39TuWonIiO8pmpH/1rE8RrAQdH44BTuRzEoVx0O4DxEnnb3TeESQfMIAKMBDAAwOYX7kdffAHyiHf0jAChXzQFwEaJvbkkK+nraEH/8W5kF4M1gTaYYmEcLaEd/oFxVN41LBMqhdvRaAFCu+j2Ne5LAHNqBeQw/5tAa/L4Yh80je44CsAXABOWqRcpVTylXVQxyAe3oKwH0B3A6gC+Uq8YpV52Y4JSjARytXPWhctXHylUpPykmQDv6G0R+K7wewCYAO7Wj3wt4mVYAHgRwCYDlylX3FvGb7D4ARilXfR299x2BG06xjEHkwUuqb26tECCPylUdESkXW5zi/cjrcwDNlasOVa6qAKA9gCOCXCCF19PFiDyIAIBOACorVx0avOkkMI+USg4pzzCHdmAew485LH78vpiYzQ97SgM4CcCj2tFNAOwBMDDoRbSjF2hH3wTgOACrAHyqXBVvZEJpAA0Q+QfTBcCT0XmDKAXRIXUdEXlwdxiAispVVwa5hna01o6erR19FYCmiDyJXaFcdXGcU24AcJt29BEAbkPkST2lQblqfy30glSvESSP0S+xgxAZVvn/7N15vE3l/gfwz5NEGSuSyhQaJEknaVDuTZGU5N5Gmal700CU22C3ExGh201dSYdUZKg0qhvCL5SiJBWZMpMrGog8vz/29vg+6569z9rj2es5n/fr1avvOmvYzznfs/ZZe1nf50tpoEN6OYAhAN4H8B6AJQD+SOI4ibyf9gFwiQqrxYjUu29I5jXpEOaRDkowh5SDmEM3MI/BxxwWLX5ejM/ZMi4A6wGs1yG9MLo8BcDDKqyWRJefRaSmr3t0uRWAFwBUAbBIh3Q3AFBhdXh0XRcAdRD5ADkhzmsu1CG9D8BqFVbfIXLz59N0fmPFSHMAq3VIbwMAFVbTANyswqpPdH1/AOchUh4ERE7OgzcUpuuQ7h/d70hE/kW5C4CKiMwd80GM1+wYXQ8AkxF5nI9ScyGAq1VYtUJkIrPyKqzeRWSiMyD9eayNyBv+FyqsAOAkAJ+rsGqsQ3pzmr+3YkOH9POI/jFTYTUIwN5Mvp/qkN6I6BMhKqzKAminQ3pn+r+z4oV5dE90frI3o4uZuLahDGMO3cA8Bh9zGEj8vBiHszd7dEhvVmH1gwqrU3VIfwvgUgCf65Du69n0aRG3kCuid2V7ApgL4Akd0nMLednXEXmi5wUVVpUQKetalcr3UcytA9Ak+qTGb4jk8B0d0k+JbaYDeEAsW5ObqbB6HMBfAbyNyARpiwt5zY2I/OvzbAB/BrAilW+AAB3S/0D08UYVVs0A9Clghvq05VGH9FIAx4l91yAyadv25L8LUmF1nA7prSqsqiPy4b2JDumwZ7O0vZ9G30N36JA+gMjvz9hUvwdiHl2kQ/oHeN4zkd5rG8ow5tANzGPwMYeBxM+LcTh7syfqDgAvqbA6ApGbLp0T3P9LAA11SO/yuf0MAJersPoakcfU++qQ/jHB16QoHdILVVhNAfA5Im3tFgMYneBhZgPo72MS0YO6A3gyepd+D4AeCb4eZcZsJJZHSr+p0blW9gG4PYmnMxJ9P20G4DEVVhrAHAC3J/h6VDDmMeBUWL2CyM+1kgqr9QBC0Se2/EoohyqszgXwGoCjAVylwiqsIx1HKUnMoRuYx+BjDoOPnxfjc/pmjw7pJQDyUtj/PwlurxHpOsI6zTTRIR0CEEph/3cS3H4eIo/3UQbokJ6NyBtqovsllEfPvjWT3ZcO0SHdNMX9E30/nYJI+S2lEfMYfDqkb0xx/0Rz+Cki5bCUJsyhG5jH4GMO3cDPi7G5PEFzNvwEYIAKq9vibaTCqnZ0ToQt2RkWJWAHgHwVVlfH20iF1fUARgH4b1ZGRYliHoOP76duYB6DjzkMPubQDcxj8DGHbgjs5wyltS7qMRARERERERERUZrwyR4iIiIiIiIiIoekdLNHKdVSKfWtUmqlUqpfugZF2cU8Bh9z6AbmMfiYQzcwj8HHHLqBeQw+5tANzGMwJV3GpZQqAeA7AJcBWA/gUwA3aq2/jrVPpUqVdM2aNZN6PUrcmjVrsH37dhVvm0TzyBxmVyZyCDCP2cZzMfh4LrqB52Lw8Vx0A8/F4OO56Aaei8EXL4epdONqDGCl1noVACilJgJoAyDmyVuzZk0sWrQohZekROTl+WpEllAemcPsykQOAeYx23guBh/PRTfwXAw+notu4LkYfDwX3cBzMfji5TCVMq4TAfwgltdHv2ZRSvVQSi1SSi3atm1bCi9HGVJoHpnDnMdz0Q08F4OP56IbeC4GH89FN/BcDD6ei27guRhQGZ+gWWs9Wmudp7XOq1y5cqZfjjKAOXQD8xh8zKEbmMfgYw7dwDwGH3PoBuYx+JjD3JTKzZ4NAKqJ5ZOiX6NgYR6Djzl0A/MYfMyhG5jH4GMO3cA8Bh9z6AbmMaBSudnzKYC6SqlaSqkjANwAYHp6hkVZxDwGH3PoBuYx+JhDNzCPwcccuoF5DD7m0A3MY0AlPUGz1nq/UqongBkASgAYq7VelraRUVYwj8HHHLqBeQw+5tANzGPwMYduYB6Djzl0A/MYXKl044LW+h0A76RpLFREmMfgYw7dwDwGH3PoBuYx+JhDNzCPwcccuoF5DKaMT9BMRERERERERETZk9KTPUQUMX36obLVNm3axNxOa52N4RAREREREVExxid7iIiIiIiIiIgcwps9REREREREREQOYRkXURw7d+408RNPPGHioUOHWtv98ccfJlZKmbhp06YZHB1R0Zo/f76v7Z577rmY63r37m3i+vXrpzwmIiIiIip+Nm/ebOJPP/3UWrdmzRoTL1++3MTLlh1qKrZ161Zrn2+++SbhMdSsWdPEoVDIWtepU6eEj5cqPtlDREREREREROQQ3uwhIiIiIiIiInIIb/YQERERERERETmEc/b4sHLlSmv5gw8+MPHkyZNN/Pnnn1vbPfDAAybu27dvhkZH6fTWW29Zy4MHDzbxxx9/HHO/UqVKmfjuu+828cCBA9M4OqKi8cMPP5i4W7duJpbvhYA9X1UsWmtredq0aSZu27atiZ9++mlru6OOOsrfYIly1L59+0wsz6l43nvvPWt5xYoVBR5v1KhRvo4nzz/v+dq+fXsTH3vssSZu0aKFtV2jRo1MfNxxx/l6XYpt27ZtJvZeb/74448mfuSRR0y8fft2E69evdrap3LlyiaeMWOGic8+++zUB0vGL7/8YmI5r4f3uk+uk/OEnH766SZ+9NFHrX2uvfbatI2T0mP06NEmHjZsmIk/+ugjE1etWjWjY1iwYIGJn3zySRO/8sorGX3dIJGfwV599dWUjyf/TjZu3NjEp512mrXdxIkTTbx27VoT33rrrdZ2e/fujbkuU/hkDxERERERERGRQ3izh4iIiIiIiIjIIcW+jGv9+vUmluUEU6ZMMfEXX3xh7bNr1y5fx77//vtNfMkll5hYPgZGmbNhwwYTT58+3Vq3ceNGEz/77LMm/vnnn63t5ON2kswnYJfptWrVKvHBEuUQb6t0WZIqywrSYffu3SYeP368iWvUqGFt9/DDD6f1dYu7AwcOmNhbOiL//g0YMMDEe/bsiXm8I4880sQPPfSQiXv16mVtV7p06cQH6wh5TTB8+PC0HttPCSUAnHLKKSbeuXOnte6ll14qcJ9//vOf1vKf//xnE8u/n7Vr1/Y1BrJbAjdv3tzE3nNMlt3t37/f17FliVfHjh1N/OWXXyY8TjpElmABQLt27Uz87bffmthbqlyvXj0T33bbbSZ+7bXXTCzz5N3HWy5CRUN+RpSlkyVKlMjaGORnma+//jprrxsksuS/bt261rojjjjCxJ07dy5wf1kGC9jnudz/8MPtWyjPPPOMiYcMGWJiWX4LAFOnTjUxy7iIiIiIiIiIiChhvNlDREREREREROSQYlHG9dVXX5lYPjYJAKFQyMTeRy8T5e10IB/DlCVF5I+cXf7XX3+NuZ3s2rN161YTyxIsv6UnFSpUsJbvuOMOE8tyhPLly1vblSlTxtfxi7tbbrnFxBMmTLDWyc4U8nFpWZ7QtGnTmPtIsqsTYHeWkcfznvPy8U1vGVFx4u2yJcsCpJNOOslabt26tYm9j88eNHToUGt58+bNBW7nffSVZVypmz9/vonlY8beMtdY4pUKyfITWfa3atUqaztZ9pPNx99zQa1atUxcvXp1a925555r4qOPPjrmMa677joTV6lSJeExyG4x3rJlWVIpf1e85+zMmTNNLEuQvF2hKDZZmtOkSRMTz5o1y9rOT+nWiSeeaC3L35Fly5YlO0TymDNnjrW8bt06E8tyV1muGc9ll11mYlkqAtidlmR5CGWP/DwBAPPmzTPxmDFjTJzJjoRbtmyxlseOHWviZN7/iwP5M8omWcru/SwpnXzyydkYjoVP9hAREREREREROYQ3e4iIiIiIiIiIHMKbPUREREREREREDikWc/Y8//zzJh45cmTC+8s6PAC4+eabTSzrbC+//HJru8MO4720wtx9990mfuONN6x1cp4jvy1HY5G10YBd63rTTTeZ+Mwzz7S289bCU2q++eYbE3vn/5CtS+U6Gc+dO9faR9ZQy/l3vK3D5bp4c/bI2utq1arF+C6ANm3amFj+3sp2ukFWrlw5a/mCCy4w8TnnnGNiOa+AX95Wk/J9U84T4vXZZ58VOAaKzfv7LeeS+OijjxI+nmw16v379vvvvxe4j/z7CwCNGjUy8d/+9reExxBkf//7303ctWtXa13JkiVNnK1rBzmXmVf9+vVN3KFDB2vdP/7xDxPL+UQWLVpkbZeXl5fqEJ0l32NnzJhhYm/bXz/zDXrnhJTn3GOPPZbsEMnDe80i5wz0O09PrP3jzYdG2fPTTz+ZuGXLlta6UqVKmfiSSy7JynjkNS5gz+Ej5w2iordz504Ty7+L3jld77rrrqyN6SDejSAiIiIiIiIicghv9hAREREREREROaRYlHG9/fbbKe3vbaF21VVXmVg+5rdr1y5ru/bt25v4+OOPN/HAgQOt7byP7bpOluL8+9//NrFslR6Pt7zm/PPPN7Fs9yzbfHtbRB911FH+BksZ4y0xufjii00sS+skbytMb+nfQbJcDPjfFsOxxiCPLx+X9T5iLcsVXHz8+tFHH7WWZbvmVHnPPb+lkt7SMiqY/J2W7YCB2KVbpUuXtpbr1KljYllu1KpVKxPL91oA6N69u4m9pVvStGnTTCxLosuXLx9zHxfJkoBc5y3RW7t2rYnl+98xxxyTtTEVR7LsXZ5/sjwQAHbv3m3ifv36mdhbHnjbbbele4hO69GjR9zlRE2dOtXE3muRSpUqpXRsSs6IESNMvHjxYmvd448/buKaNWtmZTze0lh5veSdnoKK1sSJE028cuVKE3unHZDlm9nCJ3uIiIiIiIiIiBxS6M0epdRYpdRWpdRX4mvHKKU+UEqtiP7/6MwOk1LFPAYfc+gG5jH4mEM3MI/Bxxy6gXkMPubQDcyje/yUceUD+BeA8eJr/QB8qLUerJTqF12+L/3DS49atWqZeMWKFQnvv3nzZmtZduC69NJLTSy7CQHAmjVrCjzeySefbC3Lx2wzKB85ksemdNawrwAAIABJREFUTZuauEGDBib228moc+fO1nLv3r1N7HgpQD5yJIfp4C1/atu2rYn9Ph794IMPFvh1bxlXrK5Ry5cvt5bl45WyxDBeqVasMcSRjxzPYzrLttJFluOecsopRTgSADmcw3379pn44Ycfjrmd7Kx1++23W+uGDh2a8OsOGzbMxLK70Pr1663tPvzwQxOPHj3axH369En4NdMgHzmax6Lw/fffm1j+nZVdRgC7LHbw4MEm9l7bZEk+HMrhPffcYy3LzmczZ84s8OveLqL9+/c38axZs0zcq1cvaztZAn/WWWclOeK0yYdDeYxFlrEOGTLExN7SDpnfAMlHAHMoP7s98cQTJvZ2UcqFssdmzZqZOIOlwPkIYB6zzVvmFwqFTCzLbGNNN5FNhT7Zo7WeA2CH58ttAIyLxuMAXJPmcVGaMY/Bxxy6gXkMPubQDcxj8DGHbmAeg485dAPz6J5k5+yporXeFI03A6iSpvFQdjGPwcccuoF5DD7m0A3MY/Axh25gHoOPOXQD8xhgKU/QrCNTyOtY65VSPZRSi5RSi7Zt25bqy1GGxMsjcxgMPBfdwHMx+HguuoHnYvDxXHQDz8Xg47noBp6LwZNs6/UtSqmqWutNSqmqALbG2lBrPRrAaADIy8uLeZJn0ltvvWVi75w9s2fPLnT/CRMmWMuyTk/OTRCPbN+eQ/Nh+MpjJnM4ffp0E3vbh77zzjsmlm3ZH3nkEWs72b5StiaVLQrPPfdca59jjz02yRHnnJw/F3/55ZcCY2+r0dNOOy1tr+k91jPPPJPwMZLZJwVFfi7mAu/vhN91OSLnz0WpZ8+eJk5mjh4v+Tdu1KhRJr766qtj7iPnxZJt2IEi/TvpxLn422+/mfiPP/4w8Zw5c0wsr40A4OWXXzaxfK/2zsXz3nvvmTgH5s8qSKDORck7d9WSJUtM/Oqrr5pYtl3+z3/+Y+3zz3/+08SNGzc28Z49e6ztNm3aZOIcmLOnIE6ci3JusltvvdXEci5A7/yBjz32mIkHDBiQwdFlXM6di/LzBGDPjySvM+T5BgDlypXL1JBiWrVqlbVcsmTJrI8hyolzMVXy72KXLl2sdfLmlpzb94QTTsj8wAqR7JM90wF0jMYdART97EOUDOYx+JhDNzCPwcccuoF5DD7m0A3MY/Axh25gHgPMT+v1VwDMB3CqUmq9UqorgMEALlNKrQDQPLpMOYx5DD7m0A3MY/Axh25gHoOPOXQD8xh8zKEbmEf3FFrGpbW+McaqS2N8PefIx97q1atnrfMuF+Qvf/mLtSwfd/W2ZY9l5MiRJu7YsWOcLTMjV/NYpcqhOb5kORYALFq0yMTykdb333/f2m7ZsmUm7t69e4GvU79+fWtZtrmUj9V6tzvuuONijj3bcjWHhXnttddMLFtcetuZyxy3aNEi8wMrIkHNYzbEa3Efb1225XIOZWtzL1lq1a9fv7S+7q5du0x85513+tpHtvr2lirIUrBMyeU8+iHLsGRJNAC8++67Jt64caOJZZmC95yS7WJlaUNRXLP4FfQceh1+uH1ZLttzf/nllwXGl19+ubWPLEGW57y3jGv16tWpDTaNXMujdO2115r4119/NbG8Htq61a6KGTRokInltfCLL75obVepUqW0jTNVQcnhBx98YC3La9QGDRqYuFWrVlkbUywzZ860lrNxbRyUPGbLV199ZeKHHnrIxF988YW1XcuWLU38+OOPZ35gCUh5gmYiIiIiIiIiIsodvNlDREREREREROSQZLtxFSve7k9+S7dKly5t4k6dOqVzSMVCXl6eiWWJ1/PPP29tN27cuAL3l485y8fwvMuTJ082sbeMSz7WLssKZPkZxTdv3jwTyxICb3cl2SVGlhfIR6ArV65s7dO2bVsTu1z6Rfa5SLF5u7pIskQk1bK4NWvWWMuy1Me7zg/5KD1gdxTylrZQhCzpmDJlSsrHkx3aLrjggpSPR6mrUaOGiWUXNPn3TnaIBeyyrn379plYXpMCQLNmzdI1TIpDllrJjrHxPProoyaWpSPeqQW2bNliYu/1ERVs2rRp1nK1atVM7O3ARcWP9/pFdoqWn2e8XZ3lvYKyZctmZnBJ4pM9REREREREREQO4c0eIiIiIiIiIiKH8NnoGF544QUTP/3000kdY//+/SaWj9meffbZyQ+M0LVr17jLBy1cuNDEI0aMsNbJMq6vv/66wK97l1esWGFi+bg7APTo0aOwYRdbp512momT6bb0+uuvm9hb+vXcc8+ZWD66nssdK4q73bt3W8vfffedr/1at26dieE459xzz4257scffzSx7NjTv3//mPscOHDAxDJXsrQAAObOnZvQOL1kJwsAKFGiRErHKw66detm4hNPPNHXPrNnzzaxt5vIXXfdZeKKFSua2Ft64s09ZUf16tVNLP/2NW3a1NrO+x57kCyNB+yupJRbHnzwQRPL93RvZzzZxXT48OGZH1hAybI4+fkOsKfZOPXUU7M1pJjkNe/27dutdV26dMn2cIod77WMLN2qVauWib1d3U4++eTMDiwFfLKHiIiIiIiIiMghvNlDREREREREROQQ3uwhIiIiIiIiInII5+wRdu3aZeInnngi5ePJOXvkfC+csyc7zjvvPBNPnDjRWrdz504Ty5bf3raL77zzjonl/D1ybgMAqFq1qomvuuqqJEfsJjnfg4zlzx0AvvnmGxNv3brVxG+88YaJf/75Z2ufb7/91sSyLa23Pen48eNNLFu5H3XUUYV/A5RWL730krXsnTfkoHLlymVjOM6R73vxTJ482cRyLhDAnsvj2WefNfG4ceNSHJ2tfPnyJr7uuuusdam2hi8OLrvssgLjeH766ScT5+fnW+tefvllEy9atMjEoVDI2k7Ocyfne+IcMNkj546oWbOmtc7bOvgg75x3FAwtWrQwsffzg5yPUm4n4+Jq3759Jp4+fbqJzz//fGs775yemfLHH38UGAP2HHWvvfaaiWVbeCD+nHyUmF9++cXEt9xyi4nlZw4v+Rkxl+fo8eKTPUREREREREREDuHNHiIiIiIiIiIih7CMS5CtDpctW5by8eRj6CeccELKx6P0kW1lr7766gJjAHjrrbcKXLd3715rO9n+kmVc/lx88cVxlw+S5+Wvv/5qrZs2bZqJO3ToYGJvCYhcV69ePRM3atQogRFTImSb71deecXEd955p7VdrHKdK6+8MjMDc9zhhx/6s96vXz9r3eDBg00s/8alu52rbF8rSy29zjnnHBNfccUVaR0DFaxChQom9pYjy+WpU6ea+I477rC2k4+yy/fgZ555xtqObYLTS/6s77//fhN7y7ZivacuWbLEWp40aZKJr7/++jSMkDLtxRdftJZlybps2c0yLrs19qeffmrikSNHWtvJzwPJWLlypYk3bdpkrfvoo49MLMuDZJksALRt27bAY3jLc1nenj4PPfSQieW54yWnnwjqNCx8soeIiIiIiIiIyCG82UNERERERERE5JBiX8b15ZdfmtjbJSZVpUqVMvFFF12U1mMHyX//+19ruVevXiZu3ry5iZs2bWptJzslVa5cOUOjs/3+++/WsuwWE4/sTkKZ4+2e1b59exPLx5YbN25sbScfc5ddwFjGVbD58+dbyx9++KGJZYc6b3cXWT4gz/vvvvsu4THIEgMAWL16tYllqWTdunWt7WT5l/x9ifc9bdmyxcRPPfVUwmPNJYcddujfcAYMGGCtkz+rN99808Sykx0A7Nmzx8Qyp/J9+LTTTrP2kaU9skTs0ksvjTnWHj16xFxHRatdu3Ym9r6f/uMf/zCxLNHs2bOntd0ZZ5xhYr9d4sgmO6R169bNxPIc9f4dC4fDJpadSOWxAODWW281Mcu4gqFSpUrWsve6mQ6R0yvk5eWZ+KabbrK2k915pXfffdda3rBhg4nlFA+yo+hvv/1m7XPkkUea+MwzzzRxnz59rO1at25t4mbNmpm4TZs2BY6NkiPLk0eNGlXgNn379rWWBw0aZGJ5fRUkwRw1EREREREREREViDd7iIiIiIiIiIgcwps9REREREREREQOKfZz9jz77LMm3rFjR1qPfe+996b1eEF17bXXWsuyFeFnn31m4u7du1vb1ahRw8SydrZWrVrpHqLxxBNPWMsPPPCAr/3YDrHoyflEvHXsa9euNbFssShbKhZ31atXN7F3ni1vy/uD4s3Zk24LFy408SeffBJzu6pVq5pY1lf7/Z6CPmePVKJECWu5c+fOBcben6ec46pkyZImlu1h45G/B/J9HAB+/vlnE1944YW+jkdFq1q1atZyfn6+iQ8cOGBi7zxbco4ZOS/UiSeemOYRBpucK9A779GECRNMLOfpOeuss0w8Y8YMax85r0u9evVMPHnyZGu7Xbt2mfibb74xsXc+Lspdp59+uolfe+01Ez/zzDNFMZyc8tNPP5l46dKlJpbt6pMl5zGT85DKuXcA//NCyvmzpHhz3lHhvO95HTt2NLF835WfBYYMGZL5gWUZn+whIiIiIiIiInIIb/YQERERERERETmk2JdxrV+/PmPH9j7OV1wNGzbMWj7//PNNLFv0esl2zVdccYWJve0QUy3rkq8zduxYX/tUqVLFWpbtqIujBx980MSyTSEA3H///SaWZSDnnHNOyq+7bds2E8uSQO9j7bLcSD72TIf88MMPJvZbjuUt4/LjpJNOspbl74Es8ZFtTr3rZMmttxxr48aNBY4v3vd0wgknFDZsp3lba3uXEyVLe7y/I7IVrfd3gYLh8MMPXTqOHz/exN62tLItuyyRHj58eAZHFzwPPfSQiceMGRNzO9mGefTo0Sb2tuOWTj75ZBN7S+pl2d2iRYtMzDKuYGLebBdddJGJt2/f7muf9u3bm1j+rQKADh06mFj+7SpVqlSyQzRkmWvLli1N7LcMjA6RZegyZ4BdunXPPfeY+LHHHvN17P3795vYOzVAmTJlTHzUUUf5Ol628MkeIiIiIiIiIiKHFHqzRylVTSk1Syn1tVJqmVLqrujXj1FKfaCUWhH9/9GZHy4lgzl0A/MYfMyhG5jH4GMO3cA8Bh9z6AbmMfiYQzf5KePaD+AerfXnSqlyAD5TSn0AoBOAD7XWg5VS/QD0A3Bf5oaaHrL7AAC8//77aTu299H3hg0bpu3YKSrSHHrLdeQj3PJx/08//dTaburUqSaOVdJV0HKipk+fbuLVq1fH3E6WgQwcONBad+aZZ6Y0Bp9y9lyUpVvechm5Tj4qGe/xVPlYuiz92rp1q7Xd888/b2LZccs7Brnst6NQhuRsDuXPKNmuWnI/mcMbbrjBxE8++WRSx5YWLFhgYm8HvU2bNpm4bNmyJpadgbyuvPLKRIeQs3nMBYsXLzbxunXrrHWPPPJItocTC3OYBrKk67777B+TLOPKoEDmUXaJefzxx2NuJ8u1vB1LE1WzZk1rOZky3AwJZA5zgezA5S3TKwI5lcdRo0YVGOc6WY7n7aiZBTmVQ7+2bNliYlkWu3fvXms72Tlt6NChBR7Le59AdiuV15ve6SLq169v4nHjxpn47LPPjjv2bCj0yR6t9Sat9efReDeA5QBOBNAGwMHvZhyAazI1SEoNc+gG5jH4mEM3MI/Bxxy6gXkMPubQDcxj8DGHbkpozh6lVE0AZwNYCKCK1vrgP6FuBlAlxj49lFKLlFKL5GSqVDSYQzcwj8HHHLqBeQw+5tANzGPwMYduYB6Djzl0h++bPUqpsgCmArhba20946Qjz4IW+Dyo1nq01jpPa51XuXLllAZLqWEO3cA8Bh9z6AbmMfiYQzcwj8HHHLqBeQw+5tAtvlqvK6VKIpL0l7TW06Jf3qKUqqq13qSUqgpga+wj5A5v225vPV8qZI0eAJQsWTJtx05VLuWwZ8+evra79957Tdy8eXMTy/l7ClpOhTdnxxxzjIn79+9v4i5duqTtNRORS3mUZs+ebWJvC0PZBvHbb781sWz1Ctjzvci5BGRdrHeOAbmPbHXoba8u2wMXdev1XM3hxx9/nNbjHXvssSauW7duWo/dpEkTE8u5L7IpV/OYC/Lz82Ou+89//mPiBx98MAujiS2IOZStX/Py8kz83HPPWdude+65WRmPfE+eP39+zO3kWNMtiHl84YUXCvy6d740OafgZZddZmLv/DuxyH9d956XseZYKwpBzGG2/PLLLya+5ZZbYq67/PLLszamWJhHf9544w1ref369Sa+9NJLsz0cSxBzOGvWLBO/9NJLMbfr2LGjieX8O6+++qqJN2/ebO3zww8/FHisUqVKWcu1a9c28SmnnFLIiLPLTzcuBeB5AMu11sPFqukADv7UOgJ4w7sv5Qbm0A3MY/Axh25gHoOPOXQD8xh8zKEbmMfgYw7d5OfJngsB3AJgqVJqSfRr9wMYDOBVpVRXAGsBXJeZIVIaMIduYB6Djzl0A/MYfMyhG5jH4GMO3cA8Bh9z6KBCb/ZorecBiNWHt2ifNSsihx126IGosWPHmli2y8slQc2hbGcuH/33Pv749NNPm1i23/OrSpVD84zNnDnTWlfUJT9SLufx4osvLjAGgF9//dXE33zzjYm9k7e9/vrrCb+uPOdatGhR4NdzSS7nUJZGUXy5nMdc9+WXX5p49erVJq5Vq1ZWxxHUHK5du7bAuFWrVtZ2bdu2NXGHDh1MXKFCBROXLVvW2ieZHKxbt87Ef/vb32Jud/755yd8bD+CmkdZwvj999+bWJ4TAPD222+bWJY+33rrrSa++eabY77ORx99ZGLv9VH58uVN3LJlSz/Dzoig5jBbZHt17/XvlClTTCzP+aLAPPrnLTWqWLGiiTP1XulHUHLoLbXq3bu3r/0aNmyY8Gs1aNDAxLJ1u/c9U36WzDUJdeMiIiIiIiIiIqLcxps9REREREREREQO8dWNyyVnnHGGtSwfndu5c6evY8jHpeXM3pQ5sqRLxkDRd3Sh+GSXrEaNGsXcTpZhEZGb5N/ZJUuWmDjbZVxBJTt+3HjjjSb+97//bW33/PPPFxjL7lmyYx4Q+xH3eO/No0ePjrmuffv2Jj7++ONjblccXXDBBSaWXSq9P89BgwaZWJbMPfLIIyYOh8PWPt6OXgfJEj7A7vRF6TNhwgRred68eSbu1q2bif2WtX/22Wcm9pbsFXXpFvn3008/mXjq1KnWuiFDhpjY+75M/2v37t3Wsresy48TTjjBxPI86t69u7VdnTp1TCw/zwQJn+whIiIiIiIiInIIb/YQERERERERETmEN3uIiIiIiIiIiBxS7ObsqV+/vrX8ySefmHjUqFEmli0uvTWysg6diIiIKNvkfC5dunSx1r388ssmfuGFF0ws543YsWOHtc/MmTMLfB3v10855RQTy/l8vvvuO2s7OZ/ekUceWeCxydajRw9rWV5/jhkzxsRyzo+5c+da+1SuXNnE7dq1M/Edd9xhbXf66aenNlgq0Pbt263l5557zsRyTiY5t1LTpk2tferVq2fiu+++28Scoye45DxMBw4csNZdd9112R5OoNWtW9da9v48ycYne4iIiIiIiIiIHMKbPUREREREREREDil2ZVxe8lGwESNGFOFIiIiIgk+W9syaNcta99tvv5lYthGnxFWsWNHEeXl51jq5PHz48KyNidKrTJkyJr7rrrsKjCm3yLKrgpapeOrYsWOBMVGm8ckeIiIiIiIiIiKH8GYPEREREREREZFDin0ZFxEREaVP586dC4yJiIiIKHv4ZA8RERERERERkUN4s4eIiIiIiIiIyCG82UNERERERERE5BDe7CEiIiIiIiIicghv9hAREREREREROYQ3e4iIiIiIiIiIHKK01tl7MaW2AVibtRekGlrryuk8IHOYdWnPIcA8FgGei8HHc9ENPBeDj+eiG3guBh/PRTfwXAy+mDnM6s0eIiIiIiIiIiLKLJZxERERERERERE5hDd7iIiIiIiIiIgcwps9REREREREREQO4c0eIiIiIiIiIiKHHF7UA8gkFVa9AHQDoAEsBdBZh/SeNB5/NoCqAPrqkJ6uwqohgGcBlAawH8DfdUh/osLqegADAXyjQ7p1ul6/OFBhtQbAbgB/ANivQzovzcfPB3AJgCE6pJ9VYdUJwFAAG6Kb/EuH9BgVVrUBTAVQR4d02XSOoThgHoNNhVU1AOMBVEHk/XS0Dukn0/wa+bBz2BuR9+/9ALYB6KJDei1zmBoVVncB6A5AAXhOh/TINB8/H3YeawAYC6AygB0A2uuQXs88JkeFVWkAcwCUQuQabooO6VCaX2M27GubAQDaADgAYCuATjqkN/LaJjW8Rg02notuUWFVAsAiABvS/TP05lF8/R4AwwBU1iG9nXlMDq9R43P2yR4VVicCuBNAng7p+gBKALghwWMc7WOzm8WJ+ziAsA7phgD6R5ehQ3oSIr8QlJw/6ZBumMwNAp857KtD+lmxPCn6eg11SI8BAB3S30fzSsljHoNrP4B7dEjXA9AEwO0qrOolcoAkcrgYkffvBgCm4ND7KXOYJBVW9RG50dMYwFkAWquwqpPgMRLN4zAA46N5fATAYwDzmIK9AP6sQ/osAA0BtFRh1SSRAyRxbTNUh3SDaL7eQuT6htc2KeA1qhN4LrrlLgDLk9kxiTwevEFxOYB1B7/GPCaN16hxOP1kDyLf35EqrPYBOArAxgT3f12F1U8AxgB4R4f0/kK21wDKR+MKSbwepd9TKqxOAPA8gKnp/FczyirmsQjpkN4EYFM03q3CajmAEwF8ncBhEsqhDulZYnEBgPaJjZoKcDqAhTqkfwUAFVYfAbgW0YsUnxI9F+sB6B2NZwF4PbEhk6RDWgP4ObpYMvqfTvAwCV3b6JDeJRbLJPF6VDBeowYYz0V3qLA6CcCViDxV07uQzQuS6LkIACMA3AvgjSRejwReo8bn7JM9OqQ3IPIviusQ+QX4SYf0+wkephmA4QD+AmC5CqtBhfwr6N0Ahqqw+iH62v9IeODkpQG8r8LqMxVWPRLeOaTbA+gL4AIAy1RYPaXC6qxCdmunwupLFVZTonfeKXXMoyNUWNUEcDaAhYnsl2QOD+oK4N1EXo8K9BWApiqsjlVhdRSAVgASOjeSyOMXiNxQAoC2AMqpsDo28aHTQSqsSqiwWoJIGccHOqQTOheR+LUNVFgNjF7b3Izo0wSUPF6juoHnojNGInLj5UCS+zdDAnlUYdUGkXKxL5J8PYqB16j/y9mbPdHHsdoAqAXgBABlVFgldNdNh7TWIT1bh3QHAOcg8oH1GxVW7WLs8jcAvXRIVwPQC5G7g5Sai3RINwJwBSKP5V2c6AF0SH+mQ/p2AGcAWAngk2itZUHeBFAz+ljeBwDGJTlusjGPDlBhVRaRWuS7Pf/C6EuCOTz4mu0B5CEyBxOlQIf0cgBDALwP4D0ASxCZRyvR4ySSxz4ALlFhtRiRevcNybwmHaJD+o/oY+InAWgcLc9LZP9Er22gQ/qB6LXNSwB6pjB8Aq9RXcFzMfhUWLUGsFWH9GfJHiORPEb/oeV+8EZd2vEatWAul3E1B7Bah/Q2AFBhNQ3AzSqs+kTX9wdwHiKP7QGRk/PgiT5dh3T/6H5HIvKvkV0AVESkpvODGK/ZMboeACYj8jgfpSD6r1/QIb1VhdVriHxo+Gd09bOI1Ll3jy63AvACIhN0LdIh3Q0AVFgdHl3XBUAdRHI/Icbr/SgWxyCx8gaKgXkMPhVWJRH5I/qSDulp0ael3oyuTnsOo9s3B/AAgEt0SO9N+zdVDOmQfh7RD3kqrAYB2Bv9l2kgM+fiRkSf7IleiLXTIb0z/d9Z8aNDeqcKq1kArlRhdfDnn4lrG+klAO8ASOtEtMUQr1EdwnMx0C4EcLUKq1aITF5eXoXVu4hMqAykP4+1EbnJ+4UKKyByo/BzFVaNdUhvTvP3VmzwGjU2l2/2rAPQJHoH9TcAlyJSR/mU2GY6Ikk6yJpQSYXV4wD+CuBtRCZlWlzIa25E5F8uZwP4M4AVqXwDxZ0KqzIADovWX5ZBZCKzR3RID/Bs+rSIW3iO0RuRf/mYC+AJHdJzC3nNqtHaTwC4GklO1kaHMI/Bp8JKIXKDYLkO6eEAoEP6B3jeM5HeHJ4N4N8AWuqQ3prad0AHqbA6LnrTtToiN2Ga6JAOezZLZx4rAdihQ/oAImUjY1P9HoozFVaVAeyLfrg8EsBliHQHkediWq9tVFjV1SF98HqmDYBvUvw2iNeogcdz0Q06pP+BaEmjCqtmAPro/+2ElbY86pBeCuA4se8aRCb63Z78d1G88Ro1Pmdv9uiQXqjCagqAzxGZpXsxgNEJHmY2gP6FTdIkdAfwZPTO4B4ACc9NQpYqAF6L3vk+HMDLOqTfS/AYXwJomMDjfHeqsLoakd+ZHQA6Jfh69L+Yx+C7EMAtAJaKp0Du1yH9TgLHSDSHQwGUBTA5+ruzTof01Qm8HhVsanTOnH0Abk/iKZtE89gMwGMqrDQibYpvT/D1yFYVwDgVaRN8GIBXdUi/leAxZiOxa5vBKqxORWQ+i7UAbkvw9ciD16hO4LlIB81GYnmk9OI1ahzO3uwBAB3SIaTweGOCvyTQIT0Pkcf7KA10SK9CpD1wKsf4T4Lbmzv8lB7MY/BF39tUisdINIfNU3k9KpgO6aYp7p9oHqcg0paU0kCH9JeITD6ZyjESvbaJOX8IJY/XqMHGc9E9OqRnI3LjJtH9EsqjZ9+aye5LEbxGjc/ZCZqzZAeA/OgTBDGpsLoewCgA/83KqCgRPwEYoMIq7r+OqLCqHb1bvCU7w6IEMY/Bxxy6gXkMPl7buIF5DD7m0A3MY/AF9tpGaa2LegxERERERERERJQmKT3Zo5RqqZT6Vim1UinVL12DouxiHoOPOXQD8xh8zKEbmMfgYw7dwDwGH3PoBuYxmJJ+skcpVQLAd4jMPr8ewKcAbtRaf52+4VG+PbnPAAAgAElEQVSmMY/Bxxy6gXkMPubQDcxj8DGHbmAeg485dAPzGFypTNDcGMBKrfUqAFBKTUSkDWDMpFeqVEnXrFkzhZekRKxZswbbt28vbMKqhPLIHGZXJnIIMI/ZxnMx+HguuoHnYvDxXHQDz8Xg47noBp6LwRcvh6nc7DkRwA9ieT2A87wbKaV6INresXr16li0aFEKL0mJyMvL87NZoXlkDotOunIIMI9Fiedi8PFcdAPPxeDjuegGnovBx3PRDTwXgy9eDjPejUtrPVprnae1zqtcuXKmX44ygDl0A/MYfMyhG5jH4GMO3cA8Bh9z6AbmMfiYw9yUys2eDQCqieWTol+jYGEeg485dAPzGHzMoRuYx+BjDt3APAYfc+gG5jGgUrnZ8ymAukqpWkqpIwDcAGB6eoZFWcQ8Bh9z6AbmMfiYQzcwj8HHHLqBeQw+5tANzGNAJT1nj9Z6v1KqJ4AZAEoAGKu1Xpa2kVFWMI/Bxxy6gXkMPubQDcxj8DGHbmAeg485dAPzGFypTNAMrfU7AN5J01ioiDCPwccc+rd7924Tjxw50lr3zjuHfoSff/65iffu3Zv5gYF5dAFz6AbmMfiYQzcwj8HHHLqBeQymjE/QTERERERERERE2cObPUREREREREREDkmpjIuIKAh27txp4mHDhpl44MCBMfcpVapURsdEREREbhk+fLi1PHnyZBMvWLDA1zF69eoV83hERIngkz1ERERERERERA7hzR4iIiIiIiIiIoewjMuHPXv2WMsrV6408aJFiwqMAeCGG24wcb169Ux8zDHHpHuIVIjrrrvOWpaPyJ5//vnZHg5l2FtvvWUtDxo0yMTz58+Pud8RRxxh4tdffz39AyPKQdu2bbOW77vvPhPH6kqXl5dn7XPCCSeY+JprrjEx31+JyHU//PCDie+5556Y21WrVq3AfbxGjBhhYnnNEu/6hchly5cvN/Hll19urVu/fn1Kxz7uuONMfP/991vr7rzzThMrpVJ6naLCJ3uIiIiIiIiIiBzCmz1ERERERERERA7hzR4iIiIiIiIiIocU+zl75Hw8b775pomXLVtm4nfffdfaxzs3TyzPPPOMiRs3bmzi6dOnW9tVrlzZ32ApaYcdZt/XlPMpTZo0ycRNmjTJ2pgodVu3bjXxqFGjTDx48GBrOznXiFS6dGlrWbZIbdmyZTqGSJTzmjdvbi0vXbrUxGeddZaJ5d/Ll156ydpHa23ikSNHmvjCCy+0trvqqqtM3KJFCxPLee2IyL8ff/zRWo41F8wLL7xgLf/+++8m/u2330y8adMmazt5Pp9++ulJj9Nlcs6QJ554wlrXu3fvQvf3tleX8/7Idu3e+SdfffXVhMZJyZN//4YNG2bi1atXm9h7jknyb6R37hc5L4w834qbHTt2WMvdunUz8SeffGLijRs3WtvJz3SlSpWKefwtW7aYeMaMGSaW8xbKOV0BoGrVqib2nn9BwSd7iIiIiIiIiIgcwps9REREREREREQOKRZlXLt37zbxxIkTrXUDBgww8YYNGwrcXz56ByTXem3hwoUmvvfee6118R77o/Q4cOCAtbxu3ToTT5061cQs4wqW22+/3cRTpkzxtU+ZMmVM/Morr1jrWrdunZ6BEQWIt8zg2GOPNbEstfrll19MvH37dmuf//u//zNxfn6+icuXL29tJ8sTpk2bZuJbbrnF2q5r164mLlGiRNzxE7lq8+bNJpZTCowePdrEspwZAFatWpXWMdx3330m9k5DQBHnn39+gbFf3vdgeYwLLrjAxLLUHLBbsSfzuhTbypUrreWbb77ZxLGm8/D7+dC73bhx40zcp08fE5900knWdjL/zZo1M7Er04GEQiFr+fXXXzfxOeecY+JZs2ZZ29WpU8fE8XLwxx9/mFjmUL7u+++/b+3z3XffFTbsnMcne4iIiIiIiIiIHMKbPUREREREREREDnG2jGvs2LEmlp15vv/++4SPJcs+AODcc8818VFHHWXiTp06WdvJx9VldwTZ9YCyw9uNSz7mJ2e+Hzp0aNbGFHRLliwxccOGDTP2OvIx9ptuuslaJx9hjqds2bIm7ty5s4llZyCKTZayynzIDmh+dejQwVquXr26ib/99lsTex9XlxYvXmzit99+21onH/tt06ZNwuMrLr755hsTf/HFF9Y6Wc5asmRJE1esWLHAGLAfo+7YsaOJZZcLADjhhBNMLP9Oex+LnzNnjonlI+4s6Uof7+Ppsa5NvDl88cUXfR1fvm/IMoOHH37Y2m7//v0mliXWshNcUOzatcvE8uf78ssvx9znvffeM/GaNWusdfJnKLsBZVO87jaUGbIkS3b3kp8rALv8y+/1ENnkNA/yM8CgQYOs7eSUIMlM53H00UfHXCfLnWV3Pe979PXXX2/ivLw8E3vLmryfW4NCllkBQI0aNUw8b948Eyf7niSvH8477zwTy2sebxmXnP7lwQcfTOp1ixqf7CEiIiIiIiIicghv9hAREREREREROYQ3e4iIiIiIiIiIHOLMnD2ffPKJtSxbMu/du9fEfussb7zxRhOHw2FrXe3atX0dw7sfFR1v63VZB++tESV/5JwfmZyz59VXXzWxty45Fm+7ZznnxzXXXJOegRUjK1asMPGpp56a0rEeffTRVIcT1++//57R47tiypQpJh4xYoS1rm7duia+4oorTFyuXLmEX8fbElbO89SlSxcTe+cN6t69u4nlHC9ybiA6ZPbs2daybMu7dOlSE//rX/8y8aRJk6x95JwU8m9kMvNTxDvG3Llzre3kNdpXX31l4iD+bX7ttddM7J3HMVXyZ9iuXbuY2/31r3818fDhw028cOFCX68j9weA/Px8nyOkTJDz8njn7FmwYEG2h+OcL7/80sT3339/wvvLeWVq1qxprZOfJeV8O/I9DwB++eUXEw8cONDEcl47r88++8zE3jbxQZzvDABat25tLbdo0cLE6Z47TP59eeONN2JuF9T5jyQ+2UNERERERERE5BDe7CEiIiIiIiIicogzZVwnnniitSzbo+/YscPE3kfAZWte2ZI5GdOmTbOWly1bZmL5ODNlX7zW62zlm5wbbrghK8d+6623fO1ToUIFE3sffWXpVmK8ZY8DBgwoopEkTraf9ZYj0CEbN26MuU6W7W3ZssXEyZRxxSNbx8oYALp27ZrW13LFmDFjTPz000+bePny5dZ2p512mol/+OEHE+/cuTODo/NHlh94dezYMYsjKTrymqRq1aombt++vbWdLKmU16uVKlWKeezVq1eb2G++5e/Liy++aK1j63VyWbwSHkm2TpclsLJkylu2HIu37Oqyyy4z8bp163wdQ/r++++t5aCWcbVq1Sprr/X222+b2FtGLnnfk4OIT/YQERERERERETmk0Js9SqmxSqmtSqmvxNeOUUp9oJRaEf3/0fGOQUWPeQw+5tANzGPwMYduYB6Djzl0A/MYfMyhG5hH9/gp48oH8C8A48XX+gH4UGs9WCnVL7p8X/qH55+3jGvOnDlZed09e/aYeNiwYda6WB0siqibSD4CkMdMcaQbVz4cyuGmTZus5YkTJ5pYlm7JLgVeslyzX79+Jr722mvTMcRMyUcO5lH+nGU3QwCYMGGCr2PIx5xLly5t4n379sXc59ZbbzWxfB9ftGiRtV2srhSXXHKJtZyl3OcjB3NYmP3795tYdiDxkudVrVq1MjqmIpaPHM+j7E4FAHfccYeJ43Wek/lNtptWpsjfLwD49ddfTTx48OBED5ePHMrhn//8ZxPHKw+R74+XX355Sq85b948a1mWwq1atSrmfrLMdfz4Qz++IirbykcO5TGXyDJMv9tVq1YtU8OJJx8BzKHsECk/G8jrGcDueHjmmWf6OracRqRnz54mlte7iZDnpuxUJbtmpkE+ApjHg+T1przmAYANGzaYuFevXr6Od9VVVxV4vMMPD85MOIU+2aO1ngNgh+fLbQAc7GU8DgAnxMhxzGPwMYduYB6Djzl0A/MYfMyhG5jH4GMO3cA8uifZOXuqaK0P/rP8ZgBVYm2olOqhlFqklFq0bdu2JF+OMsRXHpnDnMZz0Q08F4OP56IbeC4GH89FN/BcDD6ei27guRhgKU/QrCPPvMVsNaW1Hq21ztNa5/mdpZyyL14emcNg4LnoBp6Lwcdz0Q08F4OP56IbeC4GH89FN/BcDJ5kC862KKWqaq03KaWqAtiazkEFiZxbZOHChTG3q1Gjhom7deuW0TElwOk8yhbMn3zyibXOodbrgc3h3LlzreXevXsXuk/FihWtZdl62DsPRMAUeR7l/GPjxo2Ls+UhZ5xxhrUsW1nK9zw5P5N3/pDjjz++wGP7bXd5wQUXWMsXXXSRr/0yoMhzWBg5t8fHH38cczv5nhjw98dk5HweD5LzSySyLpbjjjvOxH369PG1j5wfJocu7ossh3KulHTPm7J3714Ty/foO++8M+Z2RxxxhIll63bvMeQcQjkkMOdiJvn9PZLXvEU0Z09Bcj6H8ppExmXKlLG227hxo4nlnD3y2unNN9+09hk+fLiJ5WdEv/OoyXl5ACAcDps4y9e8OZ3HNWvWmPjhhx82sXfuRzk35dq1a30d++STTzbxpZdeauIrr7zS2q5Dhw4mPuaYY3wdO1uSfbJnOoCDf+E7Aog9Cx3lMuYx+JhDNzCPwcccuoF5DD7m0A3MY/Axh25gHgPMT+v1VwDMB3CqUmq9UqorgMEALlNKrQDQPLpMOYx5DD7m0A3MY/Axh25gHoOPOXQD8xh8zKEbmEf3FFrGpbW+McaqS2N83XnyUclbbrnF1z59+/Y1cc2aNdM9pEIVxzyuX7/exOvWrbPWBbH1ums59OYkFlm6deON9o9APsYqH89cvHixtd0pp5xiYlmqUBRyKY8HDhwwcX5+vq99ZOmWLGMF7NItqWrVqjGPJ/M2c+ZME8uSMK8KFSqY2G/7zHTKpRwmYunSpb6227x5s4kHDRpkYu8j6tL5559vYnme5nJ5ZRDyWL9+fWv5kksuMfEHH3zg6xh+SwZku/aifp/0Kwg5TMWHH35o4nvvvdfEn3/+ecx9ZPmJLNVq165dmkeXPq7n8SD5+WHEiBEm9rZXX7BgQcLHvu6665IfWBoENYdHHnlkgV+XbboBuwV306ZNTSz/rv74449JjUG2Tn/wwQdNnJeXZ22XjXbfQcyjnAbi9ddfT3h/We7qJT8jyvdjGQPAyJEjTSyvS++44w5ru8MOS3m65IRl/xWJiIiIiIiIiChjeLOHiIiIiIiIiMghmX8ezAE7duywluXjYr///nvM/eRs7TfccEP6B0ZxyUdkvR1l5GN5fruOUOrGjx9vYjljfjxnn322iUeNGmWt++6770w8ZMgQE48dO9ba7pFHHjGxfBS3YcOGvsbgKllCFe88kI+4PvbYYyZOR0nqrFmzTHz11VfH3E6W88nuMznUASjnrV692td2skuFfKQ8Hll2IEsCvaV+3u5plBhZVrdv3z4Tz549O+Vjy+sU+R5aFKXnxdXOnTutZVl69dNPP/k6xnnnnWdiWQbiLVkvhp32ssJbknXPPfeYePLkyRl7Xdn5yU93U4q4//77TXzbbbfF3G7//v0mTvX9NhQKWcv33XefiUuVKpXSsYsjWQb39ddfm1h+RgCAcuXKmVh+Bok3HYAsvVy+fLmJn332WWs72flLHs97DSS7Ivbs2TPm66YTn+whIiIiIiIiInIIb/YQERERERERETmEZVw+9O/f31peuHBhgdvJDggAMHXqVBMfc8wx6R8YxSUfvfN2IznppJNMfO2112ZtTMWdfHRVlhDFIzsdyMcfAbt0ZOvWrTGPIc/hf//73yaWHduKI9mF4m9/+5uJve9xssuHLINLB9n5KR5Z4hUOh9M6huLi448/NrHsSOgVa518vHzAgAHWuu3bt5v48ccfN7F8vBoAnnrqKRN36NChkBGTV6NGjUwsz4MxY8ZY28mSWb8++ugjE8vSV29ZLGWOvG4E/JduSbKroSzB83bGk91kvR1jKDGyhEqWbXlVq1bNxE2aNDHxX/7yF2s7+TfXbzc9+bp//etfY74u2Tp37mziWrVqmXjgwIHWdvL9MVWyqyLA0q1Ude/e3cTy3Fm5cqW1XdmyZU186qmn+jq27DQq45tvvtnaTk4lIa+BvF275s2bZ+IWLVqYuG7dur7Gkww+2UNERERERERE5BDe7CEiIiIiIiIicghv9hAREREREREROYRz9sQwY8YME7/xxhvWOlk/K+ssx40bZ21Xu3btDI2O/JB58rYYle1/Zd005R45F8j06dOLcCTuOfzwQ38CvG3tM2Xx4sXWct++fX3tJ9tCkz/btm2zlmVLdfn+6J2jR66rV6+eiUeOHGni5s2bW/vINuCy9fDEiROt7e666y4Ty7bQ8nXIn4suuqjAGLDnR5PzK3mvU2J58cUXTVylShVr3WOPPZbQOMm/G2+80VoeNGiQiVetWpXSsT/99FNrecWKFSb+/vvvTSzPc4pNzgsZb54e2YZZxvHm0fHbOl1ev8o5DC+88EJru3Xr1vk6XnEkr4OqV69uYu/fxXjz3Pkh99+xY0dKx6LYKlSoYOJzzjknY6/jnWdJzg0q5+K57bbbrO2++OILEz/66KMmlvOJAkDp0qXTMk6AT/YQERERERERETmFN3uIiIiIiIiIiBxS7Mq49uzZYy1v2bLFxPJx2fz8fBPLx9MB+9Gql19+2cTXXHNNuoZJaSAfmfzjjz+sdY0bN872cIqNXbt2Wcvvv/++iWVJFhUfO3fuNLFs6exdV7lyZRN7W9F6W5VS4Q47zP73nKOPPtrE8m+flyypevvtt01co0aNmPuULFnSxPfdd5+Jp02bZm0nW0nL0gKWcaWXbCEsW6fLn7O3tbDMzf79+0383nvvWduxjCtzjjrqKGt59uzZJpZTClx77bUm9rZrl2Tp85IlS6x18u/x+PHjTex9jy5fvnwhoy6e5HQA0qRJk6xl2QrarxEjRhT4dW9L9VdffdXEsgRJltICdsmZbB9Nto0bN5p47ty51jpZ3ixjWSYr33cBYPjw4Sb+7LPPTPz3v//d2u5Pf/qTiStWrJjosCnHnHfeeSb2lmR27NjRxLJc2lsK2qBBg7SNh0/2EBERERERERE5hDd7iIiIiIiIiIgc4kwZ11dffWUty8dT58yZY2Lv48gLFy4s9NhlypSxlmU3i3SUbv3+++8mlo9Ry5IGSly8blx+Ox2QPz///LOJ27Zta62bOXNmtodDOUZ2H3j99ddjblepUiUTh8Nha523vIEKd+yxx1rLTz75pIlvuummmPvJHMUr3YrlrLPOirm/7AAku162bNky4ddxlbwOGDp0qLVOdu9IRp8+fUwsSwe8y/I93dvJ5/HHHzfxvffem9J4KD7Zsalnz54FbnPHHXfE3F+uGzNmjLWue/fuJv7vf/9r4g8++MDarl27dv4G6zhvaZQk85RM2ZYs94lHlm15yfIxb4nZ9ddfb2J25orN27EuFlm61a9fPxN7S6fr1KljYlnas3XrVmu7jz/+2MStWrXyN1gKhKpVqxb1EPhkDxERERERERGRS3izh4iIiIiIiIjIIbzZQ0RERERERETkkEDP2SPn4mnTpo21TrZ/li245Twufk2YMMFa9r6WH3Ks3jkr3n33XRP/+uuvJpb11ADw4IMPJvy6xVm81uuUXldffbWJZ82aVYQjKVi5cuVM7G1dSpkh54BYsGCBr31OOeWUTA2HAFx22WUm3rZtm4lXr15tbedtH5spP/74Y1ZeJ2hkO9Z//etf1rpGjRqZWLbf9kv+zL3z7fzyyy8F7rNz505rWc7nQ7HJ88o7D07Xrl1N7J1TMFPKli2blddx1fr162Oua9KkScLHk3MAedsuS7169fJ1vHgt1ePNN1TcyXlT5ecxLzkvk/x85p2nRzr33HN9jWHRokUm5pw9iZPz8TZs2NDExx9/fFEMJ+fwyR4iIiIiIiIiIofwZg8RERERERERkUNyvoxr06ZN1vIDDzxg4vz8fF/HkOU8yfC+Tu3atU28Z8+emNvJdvAfffSRif2WkvXv399aZhlX4WT7ynit1ym9/LarlEqVKmUt7927N13D+Z/Hap977jkTyxaklDlvvPGGiWVrUq9mzZqZWJ6/lStXzsi46H952/n27t3bxCVLlkzp2N6/v3I51b/NrpJtfXfv3m2te+SRR0wsW6UfffTR1nayFEyWJixcuNDEa9asSWp8ybzfF0dPPfWUiUeMGGGtkyV4lSpVysp45HuyV4UKFUx84YUXZmM4gROvTMovWU4V7+csS4b8tmWXnnjiCWtZlonNnz/fxOn4noJOlqnKz2pe5cuXN3G6r0/k50UqXDgctpbl38VXXnnFxNddd13WxiTJkuiPP/445nby+ipeOWCq+GQPEREREREREZFDCr3Zo5SqppSapZT6Wim1TCl1V/TrxyilPlBKrYj+/+jCjkVFgzl0A/MYfMyhG5jH4GMO3cA8Bh9z6AbmMfiYQzf5KePaD+AerfXnSqlyAD5TSn0AoBOAD7XWg5VS/QD0A3BfugfYpUsXa/n99983sd9yKPl46u23326tK126tIlDoVCB+3sffZ0+fbqv15XkWKtXr26tk49id+rUKeFj+1CkOcwm+Yi6g924cjaPhx9+6K3E+yiifExRlodcddVV1nay1EqWRPot9ZDn2BlnnGGty6HSrZzNYbpt3rzZ13ZXXnmliU8++eRMDSfdnMpjgwYNrOWLL77YxJMnTzbxSSed5Ot4sluTtzxTnqfJdMdMo5zNoeyU5v0ZLV261MSnnnqqib2lylu2bIl5jEQdd9xx1vJjjz2W0vHSLGfzGM+8efNMfM0116T12Pv37zexLP+fNGlSzH3kdXIRdLAJZA4l+T7p7Xwly6ZiXYvIsi0AWLduXUrjkddagF3GJceX5jKuQOZRXr/KUq2ffvrJ2k6WWo0bN87EV1xxhYm975U7duwwcbxr2d9++83E33//vYnltCFZEogc1qxZ01qWnzNk2aPsXgkAderUydiYFi9ebOLbbrvNxN6yZ/m3Wpb61q9fP2NjK/TJHq31Jq3159F4N4DlAE4E0AbAwd/2cQDS+9eK0oY5dAPzGHzMoRuYx+BjDt3APAYfc+gG5jH4mEM3JTRnj1KqJoCzASwEUEVrfXD25M0AqsTYp4dSapFSapH81yoqGsyhG5jH4GMO3cA8Bh9z6AbmMfiYQzcwj8HHHLrD980epVRZAFMB3K213iXX6cizaQU+n6a1Hq21ztNa57G7StFiDt3APAYfc+gG5jH4mEM3MI/Bxxy6gXkMPubQLb5aryulSiKS9Je01tOiX96ilKqqtd6klKoKYGsmBjhjxgzvWArc7ogjjrCWZb1c27ZtTSznIgCAAwcOmFjWAA4cONDE3377ra+xylpPwJ4P6OWXXzbxOeecE3e/TCjKHGZTrPkgXGm9nqt5fO+990wsa5QBu545Hlk7LluS/t///Z+JX3jhBWufjh07mviCCy4wcY8ePXy9ZlHI1Rymw48//mjiiRMnFrhN1apVrWX5/hwkLuXR+3fxL3/5i4mbNm1q4iFDhpg4XktTOf+Wd/6KXJKrOZTzB8qfOQDs2bPHxNu3b495DL9zncVSpcqhf7jdtGlTnC2LXq7mMd4cV927dzex/HuXjg9I9913aCqNeG275WtNmTIl5ddNRa7mMB7Z3lzOieOdl9MPeZ2TCanOAeRXEPN4zDHHmPjyyy83cbxzQs4nW6NGDRN755LZuHGjiePNV3fuueeauAjm6bEEIYfy2h+wP8vfeuutJpbXLwDQp08fE8v5s44+2t9803IO3++++85aJ98PZOt17+dPOb5sfVbx041LAXgewHKttfyrMR3AwZ92RwBvePel3MAcuoF5DD7m0A3MY/Axh25gHoOPOXQD8xh8zKGb/DzZcyGAWwAsVUotiX7tfgCDAbyqlOoKYC2A2P/MR0WNOXQD8xh8zKEbmMfgYw7dwDwGH3PoBuYx+JhDBxV6s0drPQ9ArL6dl6Z3OIWTbe1kOVTfvn2t7S655BJfx5Ntotu3b19g7Pfx1iZNmljLftvUZlqu5TCT5KPrMj7vvPOKYjhplct5TPfPt2vXrgXGY8eOTevrZFsu5zAd5KPsX3zxRYHbjB492lou6keWk+FaHsuUKWMtt2vXzsTDhg0z8S233GLiJUuWWPvI99t4pSPSKaecktA40ymXcyjLuFatWmWtmzBhQsLHi1X+7v35//zzzyaW10C5LJfz2LNnTxOvXLnSWvfMM8+YuEGDBiaWj/gDQLly5Qo8tpz8dOrUqdY672sdJMtVAODNN980sSwjybZczmE8sr25bL2+YMGCmPv89a9/NXGvXr1M7G29nm6ZPj4Q3DxKeXl5Jvb72W/t2rUFxomQ034UpaDmsHPnziaWn+sffvhhazt5r8B73yCdZPnYQw89ZK1r3rx5xl43loS6cRERERERERERUW7jzR4iIiIiIiIiIof46sZVlL766itrWXauylaZlOxMQrlNPha7YcMGE8fqDEREyfOWlEyaNKnA7U488UQTn3baaRkdE6VOdhR55513TCy7XA4ePNjaR5ZxxSobAoARI0aY+KabbkplmMWC91Fz+Xi4LN9Zs2aNtZ3sENO4cWMTy/Kfxx9/3NpHdtPzdpWhxMkusbJDFgAsXbrUxPPmzTNxOBxO6xhkxy3ZNRMAGjVqlNbXKs7mz59f1EOgNOjUqZOJveV4r732Wtpex/u58q677krbsYs72anr0kvtyrNBgwaZWH4u3Llzp4m916jNmjUr8HW801ecffbZJj799NNNXLJkSR+jziw+2UNERERERERE5BDe7CEiIiIiIiIicghv9hAREREREREROSTn5+ypV69eUSGsk4UAACAASURBVA+BAqRJkyYmlnXwRJR+p556qrW8Z8+eArfbunWrieWcIQBQp06d9A+M0kbWoS9cuLAIR1I81a9fP+Zyt27dTOw9r+RcLX7FavNNqZNzKAHAzJkzTTxjxgwTe+ex2r17d6HH9s4x8cADD5j44osvNnH16tX9DZaomJLvm3JONMD+TCHPUzk/aIsWLax9ateubWI539qVV15pbVeqVKkkR0zxeOf2HTVqVIGx6/hkDxERERERERGRQ3izh4iIiIiIiIjIITlfxkVERLnpyCOP9LXdvn37TLx///5MDYeo2EqmbIuKjmzH27p1axPv2rWrKIZDRIW46KKLTLxu3boiHAlRYvhkDxERERERERGRQ3izh4iIiIiIiIjIISzjIiKipHhLR2RXmIoVK5p4zpw5Ji5RokTmB0ZEREREVMzxyR4iIiIiIiIiIofwZg8RERERERERkUN4s4eIiIiIiIiIyCGcs4eIiJJSpUoVa3n58uVFNBIiIiIiIpL4ZA8RERERERERkUN4s4eIiIiIiIiIyCFKa529F1NqG4C1WXtBqqG1rlz4Zv4xh1mX9hwCzGMR4LkYfDwX3cBzMfh4LrqB52Lw8Vx0A8/F4IuZw6ze7CEiIiIiIiIiosxiGRcRERERERERkUN4s4eIiIiIiIiIyCG82UNERERERERE5BDe7CEiIiIiIiIicsjhRT2ATFFhVQ3AeABVAGgAo3VIP5nm18gHcAmAITqkn1Vh1RtANwD7AWwD0EWH9FoVVrUBTAVQR4d02XSOwXUqrMYCaA1gqw7p+hk4fj7sHF4MYCSABgBu0CE9Jbodc5gCFVYVAYwBUB+R87GLDun5aTx+PkQeo1+7DsDD0df7Qof0TcxjclRYnQpgkvjSyQD665AemcbXyId9Lo4A8Kfo6qMAHKdDuiJzmBoVVmsA7AbwB4D9OqTz0nz8fNh57ARgKIAN0U3+pUN6DPOYPOYw+FRYlQYwB0ApRK7Fp+iQDqX5NWYDqAqgrw7p6SqsBgBoA+AAgK0AOumQ3qjC6noAAwF8o0O6dTrH4DJ+znCHCqteiPxcNYClADrrkN6TxuPPhn0uNgTwLIDSiOTy7zqkP+G5mBy+n8bn8pM9+wHco0O6HoAmAG5XYVUvkQOosDrax2Z9D364BLAYQJ4O6QYApgB4HAB0SH+vQ7phIq9NRj6AlsnunEQO1wHoBOBluQFzmLInAbynQ/o0AGcBWJ7IzonmUYVVXQD/AHChDukzANwNMI/J0iH9rQ7phtGf3TkAfgXwWiLHSDSHOqR7idd8CsC06NeZw9T9KfqzTfgmQRLvqQAw6WAudUiPAZjHNGAOg20vgD/r0P+zd+/xU037/8BfS6U7oeRTUh1yOzmFIgdFCilKRIQQHd+ESEc3xgg/cUgSiaNyRKFUyCUpuZVKFN1EV91RKulm/f6YafVe22em2TN75jN7fV7Px8PDe89ee+/16f3Ze2b2Z7/X0vUA1AdwoYqqRn52kGIeO+iInhCPH9MR/Y94zt4GcB8A6IgejdgXXfKH3zMcoKKqOoDbEft3rQugBID2Pvfh91x8FEA0nrP7sC+PPBfTw+tpEs4+2aMjeg2ANfF4i4qqBQCqA5jvYzeDVFRVA/BfAGP2d5dXR/QUsTgdwDX+ek1eOqKnqaiqlcEu/OZwGQCoqPozg2OSoKLqYACNEbuJBh3ROwHs9LkbX3kEcDOAwTqif40fc73P41Fi5wH4QUf0cp/b+c2hdBWAQP9KQ2nLJI+UH5jDIqYjWgPYGl8sFf9P+9zNOBVVmxF7anaijujd+znmb2KxfBrHI4HfM5xSEkBZFVW7EHuSeLXP7X2di4idewfF44PTOB4JvJ4m5/KTPUb8ZsHJAGb42U5H9DUAegD4J4DvVFQNUlFVL8XNOwF418/xKHgZ5pCCURuxx42Hqaiao6LqBRVV5f3sII08HgvgWBVVn6momq6iKu2nw+gv2gN41e9G6Z6LKqpqIvY79JHfY1KhNIAPVFTNVlHV2ffG6eXxMhVVc1VUvREvfaDMMIcOUFFVQkXV14iVAEzSEe3rMyqAcwA8AeByAAtUVD2souqY/RzzIRVVKwF0QPwv0ZQ5fs8ILx3RPwH4D2JP9q8BsFlH9Ac+d3MO/J2L3QA8Fj8X/4PYk+iUAV5PE3P+Zo+KqgqI1bF289yFS4mO6Nk6om8F8HcASwB8Ga+ZTXbMawA0QKzGnYpYOjmkQJUEcAqAZ3VEnwxgG4CefnfiM48lAdRB7OJ9FYDn4+MGUQZUVB0I4BIAr6ezfZrnYnvE6q/3pHNM+ouzdESfAqAFYmUHjf3uwGce3wJQK152MAnAiDT7Tfswhw7QEb0nXgJwJIDTVFT5GpdQR7TWET1VR/R1iJXXagALVVRdlmSbPjqiawAYCaBrBt2nOH7PCLd4+U5rxP6oVA1A+fi/b8rSOBf/D8Cd8XPxTsSe7KIM8HqamLNlXACgoqoUYhfgkTqix8b/GvVWfPUQxOoyb44vXwRgGGIDrc3SEX1TfB8l4+tuBHAMYnfuXk5yzGYA+gBooiN6R+A/VDGXixxS4FYBWCXusr8B4P74HXggO3lcBWCGjuhdAJaqqFqM2M2fmUH+YMVQCwBf6Yhel8NzsT2AW4P8IYqz+F8xoSN6vYqqNwE0UVH1VHx14HnUEf2zWHwB8bEJKH3MoVt0RG9SUTUFQEsVVXtzcB+A0wG0jC+fCmB2PJ6gI/o+AFBRVRbApYjlsRKAOxC7Ibc/IwFMBMtjM8LvGU5oBmCpjugNAKCiaiyADiqq7o6vz8a52DG+Hoj98eyFwH6aYo7X079y9maPiiqF2J3SBTqinwAAHdErERu4SRos4gs8+7gLsTt1nwB4XEf0J/s55skAngNwIccIyY5s55CCpyN6rYqqlSqqjtMRvQixMV++0hHdw9M0yDyOQ+yJnmEqqiojVtb1YyY/BwGI/Zu+CuTmXFRRdTyAQwAENnNbcRYvnzwgPr5EeQDnA3hAR3Q/T9Mg3xcL4mNbALGnwnwNzk425tANKqqqANgV/2JSFkBzxGZcktfUCYh9qd+rvmcfjwJoB+AdxAbxnbOfY9bREf19fLE1gIUZ/hjFGr9nOGMFgEYqqsoB2I7YZ9SJOqIHiTaBnouIjdHTBMBUAE0BfJ+0NSXF62lyzt7sAXAmgGsBzBNPEPTWET3Rxz7mAqjv47HMxwBUAPC6iioAWKEj+hIfxyMPFVWvIlaKU1lF1SoAER3Rfh539JVDFVUNEZtl6BAAF6uoiurYbE6UmdsAjIyXAf0I4Aaf2/s9F98HcL6KqvmITU/cw/PXafIp/sWyOYB/pbkLvzkEYk/1jIoPvkeZqwrgzfj7U0kAr+iIfs/nPvzm8XYVVZcgNnPNL4gP1E5pYw7dUABghIqqEogNqfCajui3fe5jKoD7dOoDbD+iouo4xKYKXg7gFp/HIxu/ZzhAR/QMFVVvAPgKsWvcHABDfe5mKvydizcDGBh/qusPAL7HXiMLr6dJOHuzR0f0pwBUhvv40Gf7Zpkcj/5KR/RVGW7vN4czEav3pADpiP4asfrydLf3m0cN4K74fxQAHdHbAByWwfa+chjf5v50j0d/pSP6RwAZDVCfxrnYCxx8MjDMoRt0RM9FbEDfTPbh56YCdEQnHHuC/OP3DHfoiI4ggxKcNM7FTxErJaIA8HqanPMDNGfZZgD9VFQlvZunouro+F3/dbnpFvnAHLqBeQw/5tANzGP4MYdu+AXA8PhTWQmpqLoSwDMAfs1Jr8gPnotu4LkYfqHNodJ8Op6IiIiIiIiIyBkZPdmjlLpQKbVIKbVEKeV7KmXKD8xj+DGHbmAew485dAPzGH7MoRuYx/BjDt3APIZT2k/2KKVKAFiM2ICdqxCb0vgqrfX8RNtUrlxZ16pVK63jkX/Lli3Dxo0bk9YT+80jc5hb2cghwDzmGs/F8OO56Aaei+HHc9ENPBfDj+eiG3guhl+yHGYyQPNpAJZorX8EAKXUKMSmHkt48taqVQuzZs3K4JDkR4MGKY2H6yuPzGFuZSOHAPOYazwXw4/noht4LoYfz0U38FwMP56LbuC5GH7JcphJGVd1ACvF8qr4axalVGel1Cyl1KwNGzZkcDjKkv3mkTnMezwX3cBzMfx4LrqB52L48Vx0A8/F8OO56IbQnYubN2+2/jviiCPMfzVr1jT/7dmzx/znoqzPxqW1Hqq1bqC1blClSpVsH46ygDl0A/MYfsyhG5jH8GMO3cA8hh9z6AbmMfyYw/yUyc2enwDUEMtHxl+jcGEew485dAPzGH7MoRuYx/BjDt3APIYfc+gG5jGkMrnZMxNAHaVUbaXUgQDaA5gQTLcoh5jH8GMO3cA8hh9z6AbmMfyYQzcwj+HHHLqBeQyptAdo1lrvVkp1BfA+gBIAXtRafxdYzygnmMfwK845bNu2rYknT55s4s8++8xqV7du3Zz1KV3FOY+uYA7dwDyGH3PoBuYx/JhDN4Qxj9OmTbOW161bZ2I5oLFSSSciC71MZuOC1noigIkB9YWKCPMYfsyhG5jH8GMO3cA8hh9z6AbmMfyYQzcwj+GU9QGaiYiIiIiIiIgodzJ6sofIBaNHjzbxTz/ZY41179690G1q1qxpLS9btizwftFfzZgxw1r+4IMPTLxt2zYTL1261GoXhjIuIiIiIiJKj/z8f+2111rrZLnWDTfcYOIDDnD72Re3fzoiIiIiIiIiomKGN3uIiIiIiIiIiBzCMi5ylizrueeee6x1H3/8sYmXLFli4h07dljtEo3Q7vrI7flKzrgFAL///nsR9YTIHffff7+1HI1GM9pfJBJJuG8iKhpaa2v56aefNvHtt99uYu/5f99992W3Y0SUktdee83EixcvNnHv3r2tdq6XJSXz8ssvm3jz5s3WusMPP9zEXbp0yVmfilrx/W0gIiIiIiIiInIQb/YQERERERERETmEN3uIiIiIiIiIiBzCMXsEOX32FVdcYeKZM2emtH3JkvY/Z48ePUwsx4w5+OCD0+wh7c+HH35o4ieffNLEEydOtNrJ2vXy5cv7Pk6ZMmXS6B2lY+zYsSZ+/vnnE7a76aabTNyiRYus9on277333jPxrl27THzcccdZ7aZPn27iWbNmmXjUqFFWuw0bNqR03JYtW5p4yJAhJj7yyCNT2r64kGPpZDpGj5fcn3ff55xzjonl2D7ydcoNeW0FgMsuu8zEbdu2NfGYMWNy1ifKHjklMWCP0yM/v55xxhk561O+++2330w8d+5ca93bb79t4j179phYvu8AQPv27U38wgsvpHTchg0bmrhp06YmbtasmdXu7LPPNnHp0qVT2jeFx08//WQtX3fddSb2jjEq9e3bN2t9ykfr16838eDBgxO2u/vuu3PRnbzDJ3uIiIiIiIiIiBzCmz1ERERERERERA4p9mVcn376qYnbtWtnYjm1dqtWraxtCgoKTJystOCtt94y8aRJk0wsyxsA4LDDDvPRY/JOpffMM8+Y+IEHHjBxskcce/XqZeJTTz3VxPJ3wKtOnTomHjduXGqdpbTIR6JfeuklEy9fvjzhNslKvCj3ZPmrLNdJl7wmJyNLNlu3bm3ijz/+2GpXoUKFjPtE/k2dOrXQ2Ps7winbs2/hwoXWsjzHivPUva7aunWrtdy4cWMTy9Ln5s2b56xP+a5NmzYmltcrL3nuHH300dY6+d5TpUoVE1eqVCnh/jZt2mRi+dnm0UcftdolKhErV65cwn1TfpNl73I4CiDx9xrv96LiZtiwYSZet26dib3nWKdOnXLWp3zCd3MiIiIiIiIiIofwZg8RERERERERkUOKfRmXLPv5448/TCxnBvGWanXu3LnQdhUrVrTabdmyxcRNmjQxsSw7AoB7773XX6eLua5du1rLI0eONLGccUfOytO7d29rG1kmdOmll6Z03Ndff93E3hmFKFivvfaaiSdMmGBi74xKt912W876RNlXv359E8+bN89aV6JECRPLx5zlzHpec+bMMfGqVausdccff3za/XRB0DNwZSpZf1jSlR3e98U+ffqYWM7ANW3aNKudLP+h8OjXr5+1PHv2bBMPGjQo190JBXnt8Z4Hq1evNvH5559vYln65bVo0SITp/o58r777jPxgw8+aK2Tw0XI2cIaNWqU0r4p/8hZhQcOHJjSNnIG6eJAzr4FAP379y+03Y033mgtH3rooVnrUz7jkz1ERERERERERA7hzR4iIiIiIiIiIofwZg8RERERERERkUOK3Zg9sg4dsMd0kFMdyunRy5QpY21z3XXXmViO2ePdt5z6sLiPDxGka6+91lr+9NNPTSynWvZOWSjJuudvvvkmYbuDDz7YxJUrV/bVT0pOjpsE2ONFPPbYY4VuI8fLAoAePXoE3zGHffvtt9ayrPFv2rSpiY844oic9emSSy4x8d13352wnRyDQOZ99OjRVru1a9cWur23pl3+7MVFOmPfyPe4KVOmZHzMVMcKku1kH2RMmRk7dqy1LKePlvGJJ56Ysz5RsNasWWPicePGWevkZ9SDDjooZ30KEzk+VRBjVaUz3uPSpUsTrjvmmGNMzHF6wkuODSvfM+X4hF5XXnmliRs0aJCVfuWryZMnW8u//vqriatWrWriXr165axP+YxP9hAREREREREROYQ3e4iIiIiIiIiIHFIsyrjmz59vYu9UzTt37jTxNddcY2I5jVu1atUS7vvLL780sZxqHbDLC1599VUTy6nCyT85xSWQ/BHXvbyPL8vp7uXj6t6SPbldst8D8m/mzJnW8qOPPlpou3r16pnYO40i+SOncAWAjRs3mlhOCRvEtNy1a9dOqZ18/Piss85KaZsBAwaYuG3btta68847z8S7d+82sbeErThKJ6/plG5J3jIuWYYl+zN16tSE+0hU0kWZkec/AGitC23HEubckWVXgH3NlmWuqZYDffDBByb2lk4feOCBJq5evbqvflJ29e7d28SvvPJKEfbEfUuWLDHxqFGjTNy3b9+c9eGdd94x8VdffZWwXa1atUws+ye/xxQHr7/+esJ1ckgCvnfF8MkeIiIiIiIiIiKH8GYPEREREREREZFD9lvGpZR6EUArAOu11nXjrx0KYDSAWgCWAbhCa/1ron0UtQkTJpjY+4jsm2++aeI2bdr43vdpp51mYu+jll27djWxnD3GOytMLriQR79k2cZVV12V0jaDBw+2lps0aRJonzLhWg7luedVsuS+S5Ms73KhlK4o87h161ZrORKJmLhs2bKBHqtVq1YmlvmUpVWFLe+1fft2a/m3334z8bBhw0z8/PPPp7S/G264YT89Tp1r56JXpqVbySSaWSvZY+jJSrwy4Xoe98d7DU40G1c+cy2HHTp0sJY/++wzE5955pkmTrWM64knnjBxjRo1rHXy8+uPP/7oe99Bci2Pfnm/PzzzzDMmluWVFStWtNrJ/Ba1sOTQW84oZ/idPXu2iStUqGC169atW2B9WLVqlbV8++23m1h+hvEOLSHL++rWrRtYf6Qw5PHDDz9MuO7yyy/PYU/CIZUne4YDuNDzWk8Ak7XWdQBMji9TfhsO5jHshoM5dMFwMI9hNxzMoQuGg3kMu+FgDl0wHMxj2A0Hc+iC4WAenbLfmz1a62kAfvG83BrAiHg8AoD/R2Iop5jH8GMO3cA8hh9z6AbmMfyYQzcwj+HHHLqBeXRPumP2VNVa762HWgugaqKGSqnOSqlZSqlZGzZsSPNwlCUp5ZE5zGs8F93AczH8eC66gedi+PFcdAPPxfDjuegGnoshlvHU61prrZQqfL7O2PqhAIYCQIMGDRK2yyY53fojjzxirfOO4ZOKn3/+2cQjRowwcb9+/ax2Xbp0MfFDDz1kYjl+Rb5Ilsd8yGE6ZJ3zjh07EraTdblHHHFEVvuUTWE4F2Wd7bPPPpuw3ZAhQ0zcvHnzrPYp32TzXJTT8GZbpUqVTCzHL3vyySetdnJMphUrVpj4rbfestrJ626qDjroIBO3a9fO9/bpCsO5mAynN49x8X1xwIABJn7//fetdYmmXg+zMJyLv//+u4mXLl1qrZNTLctx0JLZtWuXiWVOV69ebbXbtGmTiY866qiU9l1UXDkXZW7kmHn9+/e32sm8yXFb5BTdAHDWWWcF3cWsKcpz8c8//zSx97Pn9OnTC91m7ty5QXbBIscUBYAtW7YU2q5BgwbWcpBjD6YrH8/F0qVLm7hevXq5OmxopPtkzzqlVAEAxP+/PrguUQ4xj+HHHLqBeQw/5tANzGP4MYduYB7Djzl0A/MYYune7JkAoGM87ghgfDDdoRxjHsOPOXQD8xh+zKEbmMfwYw7dwDyGH3PoBuYxxFKZev1VAOcAqKyUWgUgAuARAK8ppToBWA4g93OJ+1C+fHkTex95lNPdLViwwMQnnXSSiWVpAQC8/vrrJpaP3Hbv3t1q9/DDD6fZ4+C5kEe/Xn311ZTaycdnW7Roka3uZMyFHI4bN87EiR5bBVJ/XH3z5s0mlo9ET5gwwWonrwHnnXeeib1lezfeeKOJDz/88JT64JcLefTrlFNOSbjujz/+MPHw4cMDPe51111n4gsv9E4ukb6w5DBbU5a7Iix5DNKiRYtMnGx69b59++aiOxkLaw4/+eQTE8vr1MaNG612cgiAypUrF7qvdevWWcuybFauk1M6A8CXX35p4h9++MHE2ZrSOZmw5rEw3uEhHnvsMROPH7/vO7K3ZE9q2bKlieW5ePrppwfRxazI5xzK3+8HH3wwYbuCggIT33///YH2QX7H7Ny5c8J28vPqHXfcYa3LxTAg+ZzHRE488UQTH3300Vk7zp49e0y8fr39cNOYMWNS2of8PHzyySebuGzZshn2LrH9/tZora9KsOq8BK9THmIew485dAPzGH7MoRuYx/BjDt3APIYfc+gG5tE96ZZxERERERERERFRHsq/aaGy7MUXX7SW5UjngwYNSmkf8tFnWXYgH8WlorF48WITjx492sTeWUZOOOEEE7du3Tr7HSMA9ux1yUoIEnnjjTes5QceeMDE8+bNS2nf3333XcJ1gwcPNrEsw7z22mt99dNlsuxq+/bt1rrvv//exPJR6UmTJmV8XJnTgw8+2MQdOnSw2slH3uWMYMURy7goGe/74qmnnmpieW2lzMnrJmDP1rps2TITyxkrAXtmPFkGImfW8s4y693HXgccYP99t0ePHiauWbNmgp5TKmR5Vp8+fax18+fP972/F154wcRVqyacrZySkCWRF110kYm9ZY/yvJBDewQxQ52caU+WV65cuTLhNldcsa9C6vLLL8+4D+RPsjLMr776ysQff/xxxseSJV3PPfectc47E1sm+GQPEREREREREZFDeLOHiIiIiIiIiMghxa6MyzvDjhwNX47gvXz58pT2V6pUqWA6RoGQJVkyt96ynk6dOpm4WrVq2e8Y+TJy5EgTyxlD3nnnHavd1q1bC93+/PPPt5YTPY67YcMGa1k+it2rVy8Tn3baaVa74447rtD9uUI+egzYs6j95z//MfHXX3+dtT5UqVLFWpZltvIxZ8qcLBXJpaBnOyF/0imlpfR4hwn49ttvC20nZ98C7HIvWaaejssuu8xaDsuMa2Ewd+5cE6dTtuXVsWNHEw8ZMsTEtWrVynjfrvr555+t5ebNm5t4yZIlCbe74IILTCy/GwRBzt78xRdfJGwn89qzZ89A+1AcyO97M2bMMHGqs9e1b9/exG+++aa1bufOnRn2LjFZFvbEE09Y61555ZXAjsMne4iIiIiIiIiIHMKbPUREREREREREDuHNHiIiIiIiIiIihxS7MXt++OEHa7ldu3YmllPhNWnSxMRyyj4AePbZZ018ww03mPjEE0+02tWrVy+zzlKhtm3bZi3L6bhl3aZUrlw5a7l79+7Bd4wCk2p+KleubOKxY8eauFGjRla7kiULv9R5p8M944wzTPzNN9+Y+NNPP7XauThmjxxnQE6bDgCjRo0K7Dje66mcJljWRr/00ktWO1lXT8GS73fZJqeDj0ajKW0TiUSy1JvizTv1OgVLjn02YsSIlLaZMmVKoH2Q07L/+9//DnTftM/111+fcN3s2bNN3LZtWxNPnz690BgAPvjgAxOfe+65Jv6///s/qx1zuk+zZs2s5VTHFKxYsaKJH330Ud/byM8mmzdvttp169bNxNu3b0+4v1atWpn42GOPTakPtM+mTZtMLD8vvPfee1Y7+Rmzbt26Jv7+++9TOo78btGmTRtrnbyfUFBQYGI5hhAAzJw5s9C+vvrqq1Y7OS373XffnVL/EuGTPUREREREREREDuHNHiIiIiIiIiIihxS7Mq677rrLWp4zZ46JmzZtamI5BXOFChWsbS6++GITyymA5esAsGDBAhOXL18+zR4XX3KaQvnov7e8Y9GiRYVuf/jhh5tY5pOKzoUXXmjiMWPGpLRN7dq1TXzLLbdY6+Qjzd7zNJEVK1aY+LHHHrPWydKtEiVKmNg7DbgrduzYYeJ7773XxN6pJ1NVunRpE8tSvJo1a5pYlr4CdsnYAw88YOKqVaum1Qfa5+OPPy7qLvyFvJanqqimhncdp17PLnk99F7Pvvvuu0K3OeAA+2+wt956q4llCbu8pj7++OMJjyvLhpjv7KlRo4aJ5XtpMtddd52JZRkKAPTt29fEcugI775lKeY999yTWmcd9eeff6a13WuvvZbRcYMoM3755ZdNLIcA8ZYHJhqSoLiR1zXALpOVZVMDBgyw2g0bNszEiUq3vEMG9OzZ08RnnXWWiVPNhffzy5IlS0wsP4N7eYedyQSf7CEiIiIiIiIicghv9hAREREREREROaRYPA/25JNPmvjtt9+21h1xxBEmlrP5JCsJOeGEE0wsR8z/+9//brW76aabTOwdZZv+ateuXdby0KFDTZzqTBaSzO3pp5+e14SwRwAAIABJREFUfsdSsHDhQhPLEfdPPvnkrB43bOrUqeN7m969e5u4U6dOaR1XzrDw1FNPmXj16tUJt5GPz15yySVpHTffeGeDuPnmm02caumWLG+Tj5oDwPnnn29iObNZMvIRWXk99c6iUL9+/ZT2R/ukUzIVNDmTDJB6n+Sjzyzjyg7OxpVd8lo5adIka50sOZHvQ9WqVbPaJSoVkLP+yM9K3v25WoLsmkqVKlnLTz/9tInPPPNME3fo0MFqd99995lYfs4tjtfMn3/+uai7kDZZxjdw4EATy1I/2sf77/LKK6+YWP5beoduSeT999838XnnnWetk9fxZOQQEbLk1juMSP/+/U0s3wdKlSpltZPDxGSKT/YQERERERERETmEN3uIiIiIiIiIiBzCmz1ERERERERERA4pFmP2fPjhhyb21t7JcXoOPvhg3/suKCgwsZwuD7CnV6P9806Dnc44PUGTdfGffPKJib1TNR555JEm/v33303MMXtss2bN8r3NQw89ZOJ169ZZ6+S4Oi+++KKJ33nnHavd7NmzTbx7924Te68Hcn8PP/yw777mu5UrV1rLss5Z8o4fcOmll5pYjkWW6rg8yZQpU8bERx11lIkTTYtJ+e/+++83cbrjBjVp0iSYzlBC3qm45XiEFCzvlOpyWV73UiWnW//pp5+sdS1atDCx/Azjva5TOLRv397E8nMoAAwZMsTE8jNLcRyz57///a+1/OOPPwa6fzkOy7PPPpvScSpWrGjihg0bJmwnxySUY7VwqvXCNW3a1FqWv/s9evTwvT85tu+ECRMStvvuu+9MLMcGAuzfg99++y2l4x500EEm7tevn7XOO95hJvhkDxERERERERGRQ3izh4iIiIiIiIjIIcXi+bCtW7eauGrVqta6IMoQ9vJO1y6PS4VbtmyZiROVlKRr7dq1JpbTdwOJS3RGjRplLT/33HMm/vjjjxMe6//9v/+3330XV9OmTTNxOiUd8nfEO9W3XJbTCHvLEyT5WKw3V3fffbfv/rni7LPPNrEsEQCABg0a+N6fnFLyjz/+MHG5cuWsdnJaSllW26VLF9/HJJv3Uf5sTsUuHzkO4jiyFIyCI9/TvNfJs846K9fdIR9kaYAsNZClsADQqVMnE3uncqfwkZ9t5DABXnv27MlFd/LWBRdckLNjValSxcSy/N/7PVBOEf70009nvV/F1S233GJieR54P0fIz6LSu+++m5V+AX8txbvmmmtM3L17dxPXrVs3a33gkz1ERERERERERA7hzR4iIiIiIiIiIofst4xLKVUDwEsAqgLQAIZqrQcqpQ4FMBpALQDLAFyhtf41e11Nnxy1u1atWoHu++233zaxd5T8OnXqBHqsdOVzDuXsQPPnz09rH3IUe7mP9evXm/iRRx6xthk8eLCJ5awY27dvt9rt3Lmz0GNedtll1nK3bt189Dg9+ZzHZBYvXmxiORNWq1atrHbycXM5E9uOHTt8H/P000+3ls877zwTX3jhhSbOddlCUedw1apVCdfJR//TKdvy+vzzz00sH51t1qyZ1e6BBx4wsfz9kI9G55uizmOqvDNaJSqv8paoplJCFY1G0+1WoWSpQi6EJYdBWLBggYll6VayctewKE55/Pbbb038zTffmNg7a8tFF11k4lKlSmW/YxkqTjlMx1NPPWXil156KWG7Sy65JBfdSYh5/OvnGznEQxiENYeyfO6ee+4xcfPmza12p556amDHufjii1Paxvtd5+qrr86oD+lI5cme3QC6a61PBNAIwK1KqRMB9AQwWWtdB8Dk+DLlJ+bQDcxj+DGHbmAew485dAPzGH7MoRuYx/BjDh2035s9Wus1Wuuv4vEWAAsAVAfQGsDeP7+PANAmW52kzDCHbmAew485dAPzGH7MoRuYx/BjDt3APIYfc+gmX2P2KKVqATgZwAwAVbXWa+Kr1iL2yFdh23RWSs1SSs3asGFDBl2lIDCHbmAew485dAPzGH7MoRuYx/BjDt3APIYfc+iOlKdeV0pVADAGQDet9W+y1ltrrZVShRbca62HAhgKAA0aNMhtUX5cw4YNTTxmzBhr3a5du0ycam2zHIvi5ptvNvHmzZutdi1btvTVz2zLxxymOmbAQQcdZOJTTjnFWidrmK+44goTz5s3z8Tbtm2ztpFTmCbrw+GHH25iWYs7aNAgq13p0qUT7iNo+ZjHZK688koT33777Sb21q22b9/exLLO9tNPPzWxHJ/JS/6OeKfg9E73XdSKKocFBQXWco0aNUwsz5cgyPGQ5s6da+KTTjrJardw4UITn3zyySY+/vjjA+1PNuT7ueidej3RODvesXyyOUW77FMkEsnacVKV7zkMwrRp00wsx0aS0wcDQOfOnXPWp6AVhzzKseykvn37Wstly5bNRXcCVxxymMiaNWus5VtvvdXE48ePT7hdxYoVTXzmmWcG37E0FIc8yvGR/ve//5nYO46LzE+YuJJD7/fFXI8NmC9SerJHKVUKsaSP1FqPjb+8TilVEF9fAGB9ou2p6DGHbmAew485dAPzGH7MoRuYx/BjDt3APIYfc+ie/d7sUbHbef8FsEBr/YRYNQFAx3jcEUDiW89UpJhDNzCP4cccuoF5DD/m0A3MY/gxh25gHsOPOXRTKmVcZwK4FsA8pdTX8dd6A3gEwGtKqU4AlgO4IsH2Ra5FixYmltP8AkDdunVNLB/LK1GihIl///13a5tRo0aZWNYkHnnkkVa7Hj16pNnjwOVtDpM9UienyL7ttttMLPPpJUvsxo0bZ+K1a9cmPG6yMi5ZVuKdzrsI5G0ek5GPsXrPpUTk1Pbeae5DrkhzeMIJJyRcfvLJJ0388ssvW+369OljYlmeeuCBB1rtEj2yLKcA95a7Vq9e3cQjR440cZkyZQrdV54IxbnoLeOSy9ks1ZK8pVqpTOueI6HIYRAWLVpkYvl+570ehJTTeZTvmRMnTjTxEUccYWL5OSWkQpnDH374wcQdO3Y08dlnn221k9M9H3fccSZ+5513TDx06FBrm2XLlhV6zKpV7aFSJk2aZGL5faaIhDKP6TjkkENMfM011xRhTwJXbHJYnOz3Zo/W+lMAib4NnxdsdygbmEM3MI/hxxy6gXkMP+bQDcxj+DGHbmAew485dJOv2biIiIiIiIiIiCi/pTwblyvkzE2AXbr1n//8x/f+6tSpY2LviPnly5f3vb/iRj7u+ueffwa67zZt2gS6PyLX3HDDDSZevny5iWXZB2DPoibjgw8+2GonS1lr1aplYjkjwnnn2X8cateunYnl9ZSCN2XKFBPLMi7vLF3plHglmmXLW0pGuSdLR2QJs5yli/LTTz/9ZOKdO3eauHbt2iYuWbLYfZTPCytWrDDxzJkzTSyHE/CqVKmSiTdt2pTSceSMwr169bLW5UHpFhHlOT7ZQ0RERERERETkEN7sISIiIiIiIiJyCG/2EBERERERERE5pNgV+nrHhJg9e7aJH3/8cRM/9dRTJvZO/dy4cWMTt27d2sQco4eIwuTKK680cZUqVUzsHX8skcmTJ1vL3333nYmXLFli4rfeesvEzZo1891PCp4cS4fj6rhNfoYZOHCgiS+//PKi6A75ID+zrlu3rgh7Ql7nnnuuiceMGWPifv36We3keD5ynB6Z27Zt21rb3HrrrSY+7LDDTFy2bNkMekxExRGf7CEiIiIiIiIicghv9hAREREREREROaTYlXF5lStXzsT33ntvoTERkeuaNm1aaExE4Va5cmUTz58/vwh7QuSmVq1aFRoTERU1PtlDREREREREROQQ3uwhIiIiIiIiInIIb/YQERERERERETmEN3uIiIiIiIiIiBzCmz1ERERERERERA7hzR4iIiIiIiIiIofwZg8RERERERERkUN4s4eIiIiIiIiIyCG82UNERERERERE5BCltc7dwZTaAGB5zg5INbXWVYLcIXOYc4HnEGAeiwDPxfDjuegGnovhx3PRDTwXw4/noht4LoZfwhzm9GYPERERERERERFlF8u4iIiIiIiIiIgcwps9REREREREREQO4c0eIiIiIiIiIiKH8GYPEREREREREZFDShZ1B7JJRdWdAG4CoAHMA3CDjug/Atz/VAAFAHroiJ6goqo+gCEAygDYDaCLjugvVVRdCeAhAAt1RLcK6viuU1FVA8BLAKoilsOhOqIHBnyM4QCaAOivI3qIiqq7EPud2Q1gA4AbdUQvV1F1NIAxAI7REV0hyD4UByqqKgF4AUBdxHJ5o47oLwLc/3CIPMZfuwLA/fHjfaMj+mrmMX28nrpBRdWFAAYCKAHgBR3RjwS8/6mw83gogNEAagFYBuAKHdG/Mo/pU1H1IoBWANbriK6bhf0Ph/2+2BjAkwD+AaC9jug34u14Pc2QiqoSAGYB+Cno88B7LorXuwP4D4AqOqI38lxMj4qqMgCmASiN2PepN3RERwI+xlTY19N+AFoD+BPAegDX64hezRxmjudiuPF7RmLOPtmjoqo6gNsBNIh/GCoBoL3PfRySQrMO4sR9FEBUR3R9APfFl6EjejRiX5LIn90AuuuIPhFAIwC3qqg60c8OUsxhj70nLoA5iP3O/APAG9iXwx/ieaX0DATwno7o4wHUA7DAz8Z+86iiqg6AXgDO1BH9dwDdAOYxXbyeuiH+YXYwgBYATgRwVZauqTKPPQFM1hFdB8Dk+DLzmJnhAC5Md+M03hdXALgewCuyAa+ngbgDPt8P90rjXNz7R7TzEcspAJ6LGdgBoKmO6HoA6gO4UEVVIz87SCOHj+mI/kf8vHsbsfdG5jAYPBfDjd8zEnD6yR7Efr6yKqp2ASgHYLXP7cepqNqM2J3CiTqid++nvQZwUDw+OI3jkaAjeg2ANfF4i4qqBQCqA5jvYzeDVFRVA/BfAGP29ySCjugpYnE6gGv89Zq8VFQdDKAxYl8WoCN6J4CdPnfjK48AbgYwWEf0r/Fjrvd5PPorXk/D7zQAS3RE/wgAKqpGIfZXYj/XVL95bA3gnHg8AsBUAPf4OB556IiepqKqVga78Pu+uAwAVFT9mcExyUNF1ZEAWiL2l/y70tiF33MRAAYA+DeA8WkcjwQd0RrA1vhiqfh/2udufOVQR/RvYrF8GsejQvBcDDd+z0jO2Sd7dET/hNijcSsQu2GwWUf0Bz53cw6AJwBcDmCBiqqHVVQdk6R9NwCPqahaGT92L98dp0LFP9ieDGCGn+10RF8DoAeAfwL4TkXVIBVV9VLcvBOAd/0cjwpVG7GSuGEqquaoqHpBRVV5PztII4/HAjhWRdVnKqqmx0tXKE28njqjOoCVYnlV/DU/zoG/PFaN37gHgLWIleVSEcrwfZGC8yRiX/bSvYl2DnyciyqqWiNWovJNmscjDxVVJVRUfY1YSdUkHdG+PqPC//UUKqoeir8vdkD8yR7KGM/FcOP3jCScvdkTfxyrNWK/ANUAlFdR5espDR3RWkf0VB3R1wE4FbE76AtVVF2WYJP/A3CnjugaAO5E7O4gZUhFVQXE6h+7ef6qkRId0bN1RN8K4O8AlgD4Mj42T7JjXgOgAYDH0ugy2UoCOAXAszqiTwawDfFSDj985rEkgDqIvQFfBeD5eD0vpYHXU9orjTxa24J/ic4L6bwvUnBUVO0dc2l2uvvwcy6qqCoHoDd4cyBQOqL3xEs2jgRwmooqX2NopXM91RHdJ/6+OBJA1wy6T+C56Ah+z0jC5TKuZgCW6ojeAAAqqsYC6KCi6u74+vsAnI7YY3tA7OTce6JP0BF9X3y7sgAuBXAjgEqI1XROSnDMjvH1APA6Yo/zUQZUVJVC7EbPSB3RY+M1rm/FVw9BbOyQm+PLFwEYhthfjmfpiL4pvo+S8XU3AjgGsdy/nOSYzQD0AdBER/SOwH+o4mcVgFXiL15vALg//tcwIDt5XAVgho7oXQCWqqhajNhFeWaQP1gxwuupG34CUEMsHwlggzgXs5HHdSqqCnREr1FRVYDYX8ApQLl4X6TAnQngEhVVFyE2CP1BKqreRWwQVyD4c/FoxG7Wf6OiCoid+1+pqDpNR/TagH+2YkdH9CYVVVMAtFRRtfc8ysb1VBoJYCKAQAeFLoZ4LoYfv2ck4fLNnhUAGsXvoG4HcB5idZSDRJsJiH2p38saUElF1aMA2gF4B7FBmebs55irERupeyqApgC+z+QHKO5UVCnE/pq/QEf0EwCgI3olPHlCbMDRvS7w7OMuxP7y8QmAx3VEf7KfY54M4DkAF+Zz/WWY6Iheq6JqpYqq43REL0LsXPxKR3QPT9PA8ghgHGJ32oepqKqM2OOWP2bycxRzvJ66YSaAOiqqaiN246c9gKt1REdFm6DzOAGxG3ePxP/P8QkClu33RQqejuheiJemqqg6B8Dd+q+z7wR2LuqIngfgcLHtMsQG3N+Y/k9RvKmoqgJgV/xGT1kAzRGbqUfmKdDrqYqqOjqi974XtgawMMMfo9jjuRh+/J6RnLM3e3REz1BR9QaArxCb1WkOgKE+dzMVwH0pDNK0180ABsbvDP4BoLPP45HtTADXApgn7s721hE90cc+5gKo76P86zEAFQC8Hr/jvkJH9CU+jkeFuw3ASBVVByJ2MbzB5/Z+8/g+gPNVVM0HsAexN9+ffR6T4ng9dYOO6N0qqroidn6UAPCijujvfO5mKvzl8REAr6mo6gRgOYArfB6PPFRUvYrYo+OVVVStAhDREe2nzNHX9VRFVUMAbwI4BMDFKqqiOjb7CBWtqfB3LlKwCgCMULFZDg8A8JqO6Ld97mMqfF5PVVQdh9jYMssB3OLzeJQdU8Fzsajxe0YCzt7sAQAd0RFk8Hijz5sK0BH9KWKP91EA4v+eKsN9fOizfbNMjkeF0xH9NWJjIKW7vd88asRmVOAYFAHh9dQN8Tz4ykUh2/tp/zNif2WjgOiIvirD7f1eT2ciVmpAWaAjeipiXxb9bpfJeVwr3W0pRkf0XMQmDslkH36vp/sdG43Sx3MxvPg9IzFnB2jOkV8ADFdRlfTJDxVVVwJ4BsCvOekV+bEZQD8VVUn/OqKi6uj400XrctMt8ol5DD9eT93APIYfr6du4LkYfsyhG5jH8Avt+6LSmhNjEBERERERERG5IqMne5RSFyqlFimlliilfE9xRvmBeQw/5tANzGP4MYduYB7Djzl0A/MYfsyhG5jHcEr7yR6lVAkAixEbfX4VYrN8XKW1nh9c9yjbmMfwYw7dwDyGH3PoBuYx/JhDNzCP4cccuoF5DK9MBmg+DcASrfWPAKCUGoXYNIAJk165cmVdq1atDA5JfixbtgwbN27c3wDHvvLIHOZWNnIIMI+5xnMx/HguuoHnYvjxXHQDz8Xw47noBp6L4Zcsh5nc7KkOYKVYXgXgdG8jpVRnxKfMPeqoozBr1qwMDkl+NGiQ0qDk+80jc1h0gsohwDwWJZ6L4cdz0Q08F8OP56IbeC6GH89FN/BcDL9kOcz6bFxa66Fa6wZa6wZVqlTJ9uEoC5hDNzCP4cccuoF5DD/m0A3MY/gxh25gHsOPOcxPmdzs+QlADbF8ZPw1ChfmMfyYQzcwj+HHHLqBeQw/5tANzGP4MYduYB5DKpObPTMB1FFK1VZKHQigPYAJwXSLcoh5DD/m0A3MY/gxh25gHsOPOXQD8xh+zKEbmMeQSnvMHq31bqVUVwDvAygB4EWt9XeB9YxygnkMP+bQDcxj+DGHbmAew485dAPzGH7MoRuYx/DKZIBmaK0nApgYUF+oiDCP4cccuoF5DD/m0A3MY/gxh25gHsOPOXQD8xhOWR+gmYiIiIiIiIiIcoc3e4iIiIiIiIiIHMKbPUREREREREREDuHNHiIiIiIiIiIih/BmDxERERERERGRQzKajctlL730kolfeOEFa90bb7xh4sMPPzxnfSIiIiKicPntt9+s5ebNm5t4y5YtJp4zZ47VrnTp0tntGKVt06ZNJo5EIiZ+6qmnMt53x44dTXzUUUeZ+KabbrLaFRQUmLhUqVIZH5eI3MMne4iIiIiIiIiIHMKbPUREREREREREDuHNHiIiIiIiIiIih3DMngQ+/vhjE3/yySfWun79+pl40KBBOesTERFR0BYvXmwt//zzzyZ+/vnnTbxt2zYT33nnndY2jRo1ylLviMJv+vTp1vLSpUtNLMdnKaoxesaOHWviIUOGJGwnxxrq1KmTte7QQw8NvmNFTGttYvlvBAAPPfSQib/++msTK6UyPq4cN1R68MEHreXjjz/exO+++66Jq1atarUrU6ZMxn2ifXbs2GHiX3/91cTec0e+Z8rfi5kzZ1rtypcvb+KJEyeauEmTJla7hg0bmvjqq682cf369VPuO2XHsmXLTCzzdsYZZ1jtRo0alasuGXyyh4iIiIiIiIjIIbzZQ0RERERERETkEJZxpWHy5MlF3QUK0AcffGDiFStWWOsaNGhg4uL4mOTy5ctNvHHjxoTt3nzzTRPPnz/fWjdu3DgTd+7c2cTy8WMAuOCCC0x8wgkn+O8shdL9999f6OuylBawH4uV66ZOnZrWcc8555xC951q/8JIlmt9+umnJu7Zs6fVTpZxSbKkYe7cuda6Qw45xMSnnnqqiRs3bmy1k480H3nkkal0m1Iwfvx4a1lek+U1uG3btiYeOnSotU3JkvxImC3e6bibNm1q4sceeyzX3QEAPP300ya+9957TSynFAeAmjVrmlhee3/88Uer3eDBg018wAHh/Vvyli1bTNyrVy8TP/PMMwm3qV69uonvvvtua93atWtN3L9//5T6UK9ePRPL667389XChQtNXLt2bRNfe+21VjvZd1kyRLZvv/3WxHv27LHWyTK5jz76yMTJvhPK3KVa3ifbeT8HTZs2zcSvvvqqiT///HOrXY0aNVI6liu++eYbE8vPhF26dLHalSpVKmt9WLlypYlXrVpl4iDKOjMV3qsxERERERERERH9BW/2EBERERERERE5hM/sklN2795tYlmKMHz4cKvd22+/beIvv/yy0O0B+9Fcb4lXcXDaaaeZ2FvGlejxVPm6d50sG/A+2igfI7/00ktN3KZNGxPLEgTKb+eee66J0y21koLYR6L9Jdt3mMu45LkD2I+Ay1KNdB4z9s7gJc2YMcPEsrQDAE466SQTy9lsWrVq5bsPtM+zzz5rLb///vuFths2bJiJt27daq274oorTHz66aeb2FveVVBQkHY/i5MNGzaY2HuNefjhh3PcG/u8BOz3XFmyfuONN1rt5HXklltuMbF35qG+ffuaWH52Chv5OeWXX34xsfdaJsmyYG8ZeiplenXq1LGW33nnHRNXq1bNxHI2YAAYMGCAieU1/X//+5/Vbs6cOSb+4osvTFwcS7q8Zcp33HGHiceMGWNiOeMWkPh9Uuanbt261jr5efjwww83sbfMLpHff//dWu7atauJV69ebWJv6aXrZVxy9jsAaN26tYllCZW3RD+bw3HIWdkkWRYKADt37jTxgQcemLX+SHyyh4iIiIiIiIjIIbzZQ0RERERERETkEN7sISIiIiIiIiJyCMfsodCT0yPKKRD/9a9/mVhOiQekPh2iHKfmrrvuMrEc2wCwpxrO5tR+uXbUUUcVGgPAzTffnNG+5dTAADB79mwTv/zyyyaWtefeWvhE68qVK5dR3yg9mY7Tk+p06MlEo1Hf+5PtZBxG8to0YcKEhO28Y2ulQm5TsWJFa523Lj3RcebNm2diOUXxWWedZbWrVKmS7/4VZ3J6bMAeA+Syyy4zsXwvXLRokbWNHMNHXu+943pcd911Jr7nnnsS9qG4W7dunYm3bdtmrZNTr+fKc889Zy3L8UCef/55E9eqVSulfbz33nvWOjkddapjkuSj7t27Z7T9Cy+8YC17xzbaq3Tp0ia+7bbbrHVyHBhJjrMEAB06dDDxRRddZGLvmGpySvH169ebWE7XXlzIz5qAPYV5MoceeqiJX3zxRRPLcWCCHitn+/bt1nKifBW390v57w/Y4/QUlUTnuRwjC7DfF3I1thKf7CEiIiIiIiIicghv9hAREREREREROYRlXBQ6y5cvt5affPJJEz/11FOBHktO5yfLjgYOHGi1u/XWW7PWh6I0c+bMrO27c+fO1rKc2l5OES2nqPWWHTRs2NDEffr0MbF3elLKDlm2BaRXuhWJREwcxDTnYZ4qPQiyLDVZiaosIZBlqABw7LHHmliWBkjeqYK///77Qtt169bNWl6zZk2h24wePdpqJ8twaf/k9ROwy1rltTZZqZUsxbvhhhtM7C1BktO8y7JHlnHZevbsaeK//e1v1rrjjz8+193B2rVrrWVZip2sdEsqU6aMiQ84wP57sSxPKG7kzy6nTQeApUuXFrqNfK+SU2r7IX+vJk6caGLvdVuWdbVs2dLEX331ldVO5tdV3pLuDz/80MSyNNH7eaZ69eomPumkk0yczVIcWYILAJ999pmJzz///Jz0IR/J9ycAGDx4cBH1ZP9knoCiyRWf7CEiIiIiIiIicsh+b/YopV5USq1XSn0rXjtUKTVJKfV9/P+HZLeblCnmMfyYQzcwj+HHHLqBeQw/5tANzGP4MYduYB7dk0oZ13AATwN4SbzWE8BkrfUjSqme8eV7CtmW8sdw5Hked+3aZS1v2rTJxJdffrmJ586da7X7448/TFyhQgUTy1Hr+/bta20jH9uUj2qOGzfOanfccceZWJYcyMezAfuxdlkS0bFjRwRoOPI8h5mQs79cc801hcYPPvigtY0smXvooYdMfPvtt1vtqlSpElg/AzAcIc6jfPQ81bKtoEu18sBw5GkOZQmjfFwfsMs4mjVrZuJTTjkl4+PWq1ev0Nc///xza9lbArvXkiVLMu5DGoYjT/PolyzLA4Dx48eb+JhjjjHx448/Huhx86DsYzjyKIfy84ic9eeggw6y2pUsmZtRFF555RUTe2cFlUSTAAAel0lEQVTP8pZOZspbSujTcORRHlMhP7N26dLFxPLc85Lnyz//+c9A+yNLuuRMh4Bdyrlw4UIT7969O8guDEcIcui9VspydG9peq7IWbf69+9v4nfffddqd+CBB5pYvocHbDhCkEdK3X6f7NFaTwPwi+fl1gBGxOMRANoE3C8KGPMYfsyhG5jH8GMO3cA8hh9z6AbmMfyYQzcwj+5Jd8yeqlrrvaMsrgVQNVFDpVRnpdQspdSsDRs2pHk4ypKU8sgc5jWei27guRh+PBfdwHMx/HguuoHnYvjxXHQDz8UQy3iAZq21BqCTrB+qtW6gtW6QZ6UUJCTLI3MYDjwX3cBzMfx4LrqB52L48Vx0A8/F8OO56Aaei+GTbtHwOqVUgdZ6jVKqAMD6IDtVVGTt6pQpU4qwJzlT5HmU06jfeeed1rpEdc/eKSXleCANGjRI6bhy+sIWLVqYONl0qHI64nbt2iXsq6yVPv300612WZhutchzmEveaSgHDRpkYjnNtKxJB/JuzJ7ChCaP0Wi0qLuQr/Iih/I6JWNKWV7k0a9KlSpZy/J6GDQ5ll39+vWzdpwMFFkO5Tgucows7/S7uTJjxgwTlypVylp3xhln+N7fvHnzTCzHVQSAhg0b+t7ffuT1ubhx40YTv/nmmwnbyXF6nnjiCROfffbZ2ekYgMqVK1vLMvfyd/T111+32nmntA5AXucwX8hxP+W4e97reI8ePUzcvXv37Hdsn7zKo/czfj5r1KhRUXch7Sd7JgDYO/JsRwCJRyOjfMY8hh9z6AbmMfyYQzcwj+HHHLqBeQw/5tANzGOIpTL1+qsAvgBwnFJqlVKqE4BHADRXSn0PoFl8mfIY8xh+zKEbmMfwYw7dwDyGH3PoBuYx/JhDNzCP7tlvGZfW+qoEq84LuC9F7s8//zTx0qVLi7AnwcunPG7bts3E7du3N/GXX35ptZNTDA4YMMDEV199tdXOO6VpKjp06GDiRFMBJ9O0aVNrWU5d/NVXX5l49erVVrtMyrjyKYe5JHP/yCP2+8v69fueJO3bt6+Js/l4dKbCmMd0piN1cLp1I4w5LCry/AXsx9LLlStn4rvuuitnfdrLpTyeeuqp1vKIESNM/PPPP6e0D1liInlLxN566y0TV69ePdUuZkW+5fDHH38s9PXatWvnuCcxP/zwg4kvvPBCa92RRx7pe3/PP/+8ieU080Bm77v5lsfCyPInIPXPjuecc46Jb7nlliC7lFCbNvZkSfXq1TPxrFmzTLx48eLAjhmGHOaL3r17W8vPPPNMoe0efPBBazkLZXZ/EYY8jhs3rqi78Jf3Ve/3vb2mT59uLd9xxx1Z61MiGQ/QTERERERERERE+YM3e4iIiIiIiIiIHJLubFxEaXv00UdNLEu36tata7WTsxv87W9/C7QPctauwYMH+96+atWq1rKcoejiiy82sSxl8R43nfIzlyxYsMBa/uSTT0wsc//++++b2DszQdu2bU3cq1evoLtIPsnH1WVMxcvbb79tYu85K5dbtWpl4oKCgux3zGHef7+SJfd9vJNlV8l8++23KbXbunWriUuUKJHSNsXFN998U+jr3hKqbJLlBHLm0Ztvvjmt/clyrQkTJpjYW5pWrVq1tPYfFt5SG/lZVvKWxw0bNixrfUrV9ddfb2JZxjVq1CirnZwJSl5DKD3bt283cadOnUw8ceJEq92WLVtMLGf79ZZ7kT8XXHCBtSyH3JAzO8vvZqnOUrhixQprWc5UKHlLrIsCn+whIiIiIiIiInIIb/YQERERERERETmEz+hRzj3wwAMmlo/09+jRw2oXdOlWIkGUUzVu3NjEWmsTy0eoAXuWNzk7gstkuVafPn1M7B1NX/67yd8L+brXxo0bTTx27FgTX3PNNel1lgo1ZcoUE3vLcqSpU6cWGsuSLm9pI8u93DB58mQT33bbbSltc+yxx2arO8XOu+++ay3LUpLTTz+90G02bdpkLcuZJKUlS5ZYy4cddlg6XSwW5HkgP1vUqFEjZ3344IMPTCxzfMIJJ6S1v+HDh5t4+fLlJh46dKjVTs6g6qJly5al1M4745a37L8oJJphWOYTSP55i/Zv5syZ1rL8vCOHJPDq37+/iYtiZsowkDMLjh8/PqVt5HcEwL42ylheu0qVKmVtU758eRPffvvtJl6zZk1KfWjWrFlK7bKJT/YQERERERERETmEN3uIiIiIiIiIiBzCmz1ERERERERERA7hmD3Cr7/+WtRdKBbkmB8yrl+/flF0JxBlypQx8fnnn2/iSZMmWe3uvPNOE3/00UfZ71gR2LBhg7UspzeU9eHJxn5JtM77upyufdGiRSYeOHBgwn2fffbZJvZOa1m5cuWE21GMHL/n3HPPTWmbRGP5JNs3x/LJb3J6Z8C+tnmnJJU6d+5s4r59+wbfsWLq2WeftZb//PPP/W7jHccj1TFJKDE5hbIc66F69eo568PixYsz2n7hwoXWshx35LTTTjPx1VdfndFxwuCbb74x8ejRoxO2O+KII0wsr3H54uWXXy7qLjhlx44dJpZjc7Zu3dpqt3XrVhPLcWHkeDEA0KRJk6C76JyHHnrIxDt37kxpG3kNBoADDij8GRe5P3kNB+wcynFHw4RP9hAREREREREROYQ3e4iIiIiIiIiIHMIyLkE+Ika5991331nLdevWLaKe+CcfkfVOvSgVh8eeq1SpYi3LUgE5PXrbtm1971tuD/x1WsW91q9fby3LaRoHDBhg4ieffNJq98Ybb2TUv+JAllfJsivALtGKRqO+952sLIwlXrnz+++/m/jnn382sTx3Jk6caG2TqHTEO5XvW2+9ZeKyZcsm7IN8rL158+YmLleuXMJtirN0pr1OdfpaSl2q0/EWhVatWiVcJ8tSrrrqqoTrZIm0t0TCFbIEUr6PrV27NuE2Xbp0MXE+lIO/+eab1vIvv/xSRD1xx+zZs03cq1cvE0+ePDnhNnXq1DHxE088YWKWbfnXokULE3vL4GrUqGHiDh06mPjKK6+02nm/n+w1a9YsE3/xxRfWukTDSng/8wwePLjQdvmAT/YQERERERERETmEN3uIiIiIiIiIiBzCMi7BO3NSIp06dcpyT4qn/v37W8uXXnqpidN5RD1VsmRh+/bt1jo525MsP3j99detdn/88YeJDzvsMBN7f6Ybb7wxs86GXKalUeluL2f9uffee0388MMPW+06duxoYvnopvxdpH285VRy+f777zdxsvKuZLNzSbLEy1saRIWTJViA/dixLMnyPqa8cuVKE8+YMcPE8t/du02y2fUkWeaSbNY8WWL5z3/+08Tecms+Dp++ZDOQNmjQwMQVK1bMRXecMH36dBMXFBQUYU/+qlSpUtayPJ9lGZKcgQoAJkyYYOJGjRplqXf5Y9euXSYeN25cwnZyFtYzzzwzq33yS352BeyfSfJ+nylZkl8L95ozZ461LGfaSlSuWbNmTWtZlhvVqlUruM4VQ+3atSs0DoJ8v5NxMt4SsXzGJ3uIiIiIiIiIiBzCmz1ERERERERERA7hzR4iIiIiIiIiIoewODMN2Rw/pji4/vrrTTxixAgTe+vEr732WhO3bNnSxMcee2xKx/n6669NXL9+fWvdU089ZeLvv//exD/88IPVbvPmzYXu2zu15s0332zixx9/PKX+UdHo16+fibdt22atk+OYyFprjtmTGTmWj3ecHzm2T6rTtcttZEz2tKG9e/e21k2bNs3EycbfyTfyZ+rTp4+1Tp6nnJbdny+//DLhOjneDD/zhFf16tVN7M1jJBIx8YsvvmhiOcYdkHzK9uLs0EMPNbEcU66oPPDAAyZOdRpob7/z/b0g23r27GniYcOGWes2btxo4mrVqpm4a9euJr7uuuusbfJt3C7KjYMOOsjEZcuWLcKexPDJHiIiIiIiIiIih/BmDxERERERERGRQ1jGRTn3zDPPmFhO8/jf//7XavfGG28UGgchUQnD0UcfbbW76KKLTHzBBReY+IwzzrDaHXPMMYH2j3LDW+Yip3suzrylUcnKsPxKdap1ryD74Jo2bdqYePLkySb+/fffs3ZMb2mHLK+V0/lWqFAh4T5GjRpl4nXr1lnrEpXDypIuAHj00UdNzJK+/fvoo49MPGPGDGudzGmLFi1y1ieX3HDDDSZ+5ZVXTDx+/HirnZzGOWiNGzc28bPPPmviMWPGWO0eeughE8uyg1SnHqbcW7ZsmbUsp6CeO3euiRNNtQ7Ywxi0b98+uM6FhPff8JJLLjHxwoULTbx7926rXdWqVU381ltvmdg7TATRmWeeaeLjjjuuCHsSwyd7iIiIiIiIiIgcst+bPUqpGkqpKUqp+Uqp75RSd8RfP1QpNUkp9X38/4dkv7uUDubQDcxj+DGHbmAew485dAPzGH7MoRuYx/BjDt2UShnXbgDdtdZfKaUqApitlJoE4HoAk7XWjyilegLoCeCe7HWVMpBXOSxTpoyJn376aRNfddVVVjv5uPnatWtN/Nprr6V0nNq1a5v44osvttadffbZJj755JML7RsAVKxYMaVj5Uhe5dEF3lnVZHnfc889Z2L5KHyGQpHDjz/+2FqWs2RNmTLFxKmWU8nyGu++Uy3ratKkie/jZlFe5VGWiKQ6m4r8XU9GzjoiZ++RMxCm6+677064TpYUdevWzcTeWRvlDGM+5VUOc+XXX381sfd34NtvvzVxPswulKK8yuODDz5oYll+PmTIEKudLAv3fu7I1GGHHWbiTZs2mdg7U5CcTer99983cRGUceVVDlMlZ/OUwxN4yX9P+Znjb3/7m4lXr15tbTNu3DgTL1myxMTDhw+32sn8JiNLt7p06WLiAw4ItMAjb/P46quvmthbvr98+fJCt5EzBwP2jHWJeGd4leXJ8npwxx13WO1Kly69333nSN7mkNK337Nca71Ga/1VPN4CYAGA6gBaA9g7b/YIAG0K3wMVNebQDcxj+DGHbmAew485dAPzGH7MoRuYx/BjDt3k65auUqoWgJMBzABQVWu9Jr5qLYCqCbbprJSapZSatWHDhgy6SkFgDt3APIYfc+gG5jH8mEM3MI/hxxy6gXkMP+bQHSnf7FFKVQAwBkA3rfVvcp2OPQtc6DPhWuuhWusGWusGVapUyaizlBnm0A3MY/gxh25gHsOPOXQD8xh+zKEbmMfwYw7dktLU60qpUoglfaTWemz85XVKqQKt9RqlVAGA9dnqZK7I6fPk9HtecjrN2267Lat9Ckq+5vDAAw80sXeMgERjBjz//PNZ7VM+y9c8hpUcXwGwxzu57LLLsnLMMORQjs0C2OPq5GosD++4PPk2rXY+5VH+3qY6Zo8cI8A7jfqVV15p4pYtW5q4bNmy6XbRNzlGk+zfH3/8YbW799570z5GPuUwH8gpieV4Lvkun/Iox7i66KKLTDx69GirnRw35OGHHzZxquP37Nixw8TecdDkGFfSIYfYY6rOmzfPxLLfRSGfcliiRAkTy/F2Zs2aZbXbvHmzibt27ZpwfzKnpUqVMnHJkvu+gu3Zs8fa5rffrO/Xvp100knWshyvKeBxeiz5lEfpvffeM/GKFSusdfI9c9CgQSaWYxsBwPbt2028ePFiE8+fP9/ETzzxhLXN7NmzTVyuXDkTN27c2GrXqFGj5D9ADuVrDil9qczGpQD8F8ACrbX8LZ4AoGM87ghgvHdbyg/MoRuYx/BjDt3APIYfc+gG5jH8mEM3MI/hxxy6KZUne84EcC2AeUqpr+Ov9QbwCIDXlFKdACwHcEV2ukgBYA7dwDyGH3PoBuYx/JhDNzCP4cccuoF5DD/m0EH7vdmjtf4UQKLnws8LtjtFq0+fPiYeNWpUwna5fJQ9CMUphy5jHtMnB4r717/+ZWI5vSlgT0XcunXrwPsRlhx6S6hkWZechj1o8jj5VrYl5VseP//8cxNPnDjRxBUqVLDanXLKKSaWZTry9XzUr18/E3tLVCpWrJjWPvMth7midaFDLQCwS0wKCgpy0Z2M5XMe5XTcX375pbVuwIABJh45cqSJTz31VKtdrVq1TLx7924Tjx+/7w/r69fbFRWVKlUy8S233GJi77TdI0aMMHGvXr0K/RlyId9yKMurJk+evK8j59ld8ZZ1JSJLT71lqJnq1KmTiWWJtbcMPRdTe+dbHtMhp0eX5xgAbNmyxcQzZswodPuaNWtay23a7Ju06t///reJ86lsS3Ihh/RX2SvcJCIiIiIiIiKinOPNHiIiIiIiIiIih6Q0G1dx8fe//93El156qYkXLFhgtctk9g8iyr6hQ4day3IGNzk7gnfmInnet23bNku9Cx9ZUiVLvOQsXensi4IhHwnP18fDg3LYYYcVdRdCTZbueMkS9QsuuCAX3XGaLJX0ln3I2bk++ugjE8+ZM8dq9+6775pYzl7arl07E19++eXWNjJ3cpvu3btb7aZPn27idevWmbhq1areH6XYkmWi3hLmSZMmmfiHH34w8fLly612c+fO3e9xvOU/cvasY445xsTt27e32smSs1RnYiyOTjjhhJTayZntvCWvqfz73nfffdby9ddfn9JxibKJT/YQERERERERETmEN3uIiIiIiIiIiBzCmz1ERERERERERA7hmD2CrMccO3ZsEfaEiAojp1AHgJdfftnEchr1adOmWe3kuV2uXDkT/+9//7PayTF7qHByzB7vFO1EFB5y3BfAHneEglWlShVruWvXroXG2STHfilsmZJr0aJF0mXKX3K8qqZNm1rrxowZU+g2M2fOtJYbNmxoYjm1fa1atUxcuXLlTLpJIXbUUUeZeMCAAUXYk7/ikz1ERERERERERA7hzR4iIiIiIiIiIoewjIuI8pos3ZJTqAPAypUrTXziiScWGgN2eZZ81PL4448PrJ9ERPlOlp54Sw769++f6+4QEWVdqVKlTHzaaadZ67zLRKkYPXp0UXchZXyyh4iIiIiIiIjIIbzZQ0RERERERETkEJZxEVFek7OY9O7duwh7QkQUbl26dEm47oorrshhT4iIiCjb+GQPEREREREREZFDeLOHiIiIiIiIiMghvNlDREREREREROQQ3uwhIiIiIiIiInIIb/YQERERERERETmEN3uIiIiIiIiIiByitNa5O5hSGwAsz9kBqabWusr+m6WOOcy5wHMIMI9FgOdi+PFcdAPPxfDjuegGnovhx3PRDTwXwy9hDnN6s4eIiIiIiIiIiLKLZVxERERERERERA7hzR4iIiIiIiIiIofwZg8RERERERERkUN4s4eIiIiIiIiIyCEli7oD2aKi6kUArQCs1xFdNwv7Hw6gCYD+OqKHqKhqDOBJAP8A0F5H9BvxdkcDGAPgGB3RFYLuh+tUVF0IYCCAEgD+f3t3H+RVVQZw/PsolopTUCpD4oQp6mAjYERONomlhlowjYWgVIRazUBlGpU6w8OJsWG0fInodQ1sQkVJDA01Mne0Jg0BwVGwlFAgAd8ys0kFnv44Z+u3y9uee++u/O4+nxmGvbv3nHN/8+w55+6555zbYmozK86/FegPTDW1RRLkHcB8YCCwDhhrai9JkHOAK4A1pvbxKq+h7iTI/sD9wFuJbc4CU9OKy2ilfRxnAGOA7cAWYKKp/d3jWJwEWQe8AmwDtpra8Irzn0v7NnUicBWwMZ3yA1Nr8Ta1OAlyOPALoB9gwE9N7bqKy5hL+zheDFwAbAWeAyaZ2tMex2IkyDHEPqrNe4BppnZthWXMpX0MrwFOST8+EDjU1Pp4DMuRIH2AFuC9xPo4ydT+VGH+c2mIY/reWGB6Km+lqZ3rcSzO71Gbn/eL9SFB9gUeBjZWXQ861sWG718CfBc4xNSe3xvrYp1n9swFRhVNLEH6duK0qW0dKPAMMBG4sfEEU3vK1IYWvY6eLFXa2cAZwGBgvAQZnJlHZ+J4XkPF/RZwr6kNAu5Nx5jafGLD7PK9BnzE1IYAQ4FREuTEnAwKxPEqUzs+1b07gWngcazAKaY2tMhAT4E2FWB+Km+oqbWAt6klbQUuMbXBwInA5C5qUxvjuAIYbmrHAwuAK8HjWJSpPdFWJ4D3Af8GFubkkRtDU/taQ5mzgNvS9z2G5VwH3G1qxwJDgNU5iXPjKEEGAZcCJ5naccBF4HEsyu9Ra8P7xfr4KpntaJsCdbFtoPB04hgAsHfWxdrO7DG1+yXIwBJZzJIg7wKuB35lav/ZQ3nrACTI9hJluvZGAE+a2loACXIzcbbG4xl53C5BXiY+PVtsalv3cP4YYGT6+gagFfhmRnmuA1Mz4F/pcL/0zzKzyYqjqf2z4bB3gfJc9bLaVFc9U3sWeDZ9/YoEWQ0cRl6bmts33tdw+CAwIe+q3W58FHjK1J7OTFemLo4HKp2Z2RNJkLcDHyY+JMTUXgdez8wmN44XArNN7aVU5pbM8lx7fo9aA94v1oMEGQCcRZxVc3GBLHLrIsA1wDeAXxcor9vUeWZPKaY2AZgKfBB4TILMkiBD3uTL6mkOA9Y3HG9I38sxErga+BSwWoJ8R4IctZvz+6WGH2ATcVqnK0mC7CtBHiEuqVpiag9lZjGSvDgiQa6QIOuB80gze1wpBvxWgiyTIF/ITlysTT1bgqySIAvSExRXkfQwZBiQVRdL9o3nA3fllOd2axxwU26iojGUIO8GjgB+n1um28ERxOUbcyTICgnSIkF652RQII5HA0dLkD9KkAfTEiRXnN+j1oz3i03tWuLAS9FJFyPJqIsSZAxxudjKguV1Gx/s2Q1TW2Zqk4HjgCeBP6d1lq5JmJqZWqupfZY45d2ANRLk7M6kxWeEVMLUtqWpqQOAERIkax+tInE0tctN7XBgHjClxOW76EOmdgJxyvrktE9Zlsw29Q5gYJrmvIT4FNNVQIIcRNwX4KIOs+A6pUjfKEEmAMOJ+zC5kiTIW4DRwK1F0he8vxlH3HNtW5EyXTu9gBOAH5naMOBV0pKcHJlx7AUMIv5RMx74Wdo3yL1J/B517+H9YvOSIG179C4rmkdOXZQgBwKX0SQPkmu7jKuj9FT4jnT4Y+Jmahem4zOBOcQR8odN7YKUplf62STgKGJQf9mNl93TbQQan+YPAJ5LM0QgxuMDxGl7ECtnW0VfZGrTACTIAcAniXHsQ1zTuWQXZW6WIP1N7VkJ0p84E8VVxNT+IUHuA86SIG11qSvi2GgesBhfelCKqW1M/2+RIAuBkyXI99OPK29TTe2FhsMW0pp2V44E2Y94QzvP1G7rjr5RgpwKXA6cbGqvVf6heqYzgOWmtrkb72/GAZOr/BA92AZgQ8Ms1wXA9Ib7m66I4wbgIVN7A/ibBPkLcfBnaZUfrAfxe9Sa8H6x6Z0EjJYgZwL7A2+TIHcRN1SG6uvikcTZmSslCMS6v1yCjDC1TRV/ttJ6zGCPqa0nbg7baHbD1x9r/EEajZ0CPAB8z9Qe6NordDuxFBgkQY4gdqrjgHNNLTScs4jYWLZpF2MJciXwaeA3xM3RVuyhzEXA54CZ6f+9eh1mM5AghwBvpIGeA4DTiG8kaIxVpXGUIINM7a/pcAywpuTH6NHS8oJ90nr23sQN6b5tajM6nFpZm9p2Q5sOR1Nw0z33fxJEiHsKrDa1q6Hr+0YJMgz4CTDK9wip1HjSEq7uuL+RIMcCfYHK3hbVk5naJgmyXoIcY2pPEPdfWm5qUzucWmUcbyf+3syRIAcTl3WtLfM5eji/R60B7xebn6ldStx8HgkyEvi67fgmrMrqoqk9ChzakHYdccPt54t/iq5T28EeCXITcarqwRJkA6Cmdn1GFquAoZ2dyidB3k98I0Zf4BMSJFh824EryNS2SpApwD3EUfWfm9pjmdm0El9L29kNKGcCt0iQ84GngbGZ5bkd9QdukPjmin2AW0ztzsw8WsmMo8RXFG8nxvFLmeW59voBC9MTjF7AjaZ2d2YeWW0q8BUJMpr4powXSRuZulJOAj4DPNrw9PkyU1uckUduHK8CDgJuTb8/z5ja6IzyXAdpwPU04IsFs8iNIcQ/ZG9OS0dcNb4MzEtL8tYCn89MnxvHe4DTJcjjwDbiHzQv7CGN2wW/R60N7xcd5NfFplHbwR5TG18y/e8yz19KnMblKpQa25wGd2fpc85/gfiEzVXE1FYRN7wrk0duHPe43t11nsW3jZTaoL5Am/q/JzWuGqb2B0BK5pEbx1PLlOd2ZGqvAu8skT4rhinN9KLluZ0ztUeI+3UUTZ9bF434lhrfe7Iifo/a/LxfrBdTayUO3OSmK1OPBxZN2x18g+biXgZmSJDdzhiQIEemkeLN3XNZLtOLwNw0g2CXJMg5wA+Bl7rlqlwuj2Pz8za1HjyOzc9jWA8ex+bn9zb14HWx+TVtXRTzGbnOOeecc84555xzteEze5xzzjnnnHPOOedqxAd7nHPOOeecc84552rEB3ucc84555xzzjnnasQHe5xzzjnnnHPOOedq5L9A4HVP5VN9ngAAAABJRU5ErkJggg==\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "name": "A3_200698.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "gpuClass": "standard", - "kernelspec": { - "display_name": "Python 3.9.13 64-bit (windows store)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.13" - }, - "vscode": { - "interpreter": { - "hash": "c0f7ff968abd5cdc646c3b0d79d8d9fba0fbc1faf12e0395fe0c5d95a57fad77" - } - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file diff --git a/Assignment 3/A3_200731.ipynb b/Assignment 3/A3_200731.ipynb deleted file mode 100644 index 22fe97c..0000000 --- a/Assignment 3/A3_200731.ipynb +++ /dev/null @@ -1,1076 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV_with_TF-Assignment-3.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 240, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "import keras\n", - "from tensorflow.keras import Sequential\n", - "from tensorflow.keras.layers import Conv2D\n", - "from tensorflow.keras.layers import MaxPool2D\n", - "from tensorflow.keras.layers import Dense\n", - "from tensorflow.keras.layers import Flatten\n", - "from tensorflow.keras.layers import Dropout\n", - "from tensorflow.keras.utils import to_categorical\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "execution_count": 241, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 242, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "\n", - "# Pre processing \n", - "\n", - "X_train = X_train/255\n", - "X_test = X_test/255\n", - "X_train.shape\n", - "\n" - ], - "metadata": { - "id": "rbt0WbW6sDVs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "a4102b6a-9ec2-41ba-f504-ea685c8b790c" - }, - "execution_count": 243, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(8000, 28, 28)" - ] - }, - "metadata": {}, - "execution_count": 243 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "\n", - "for i in range(10):\n", - " plt.imshow(X_train[i],cmap = 'gray')\n", - " plt.title(Y_train[i])\n", - " plt.show()\n", - " # Your code\n", - " \n", - "\n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - "\n" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "1415ed68-0d9b-4e80-f165-fc7ffce77bf1" - }, - "execution_count": 252, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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SJklPSJo6Qr39hzpTe7+oTrBmtNTbaeocor8oaW11O7vt967Q11DeN74uCyTBB3RAEoQdSIKwA0kQdiAJwg4kQdiBJAg7kMT/AY0PpEqfTnA+AAAAAElFTkSuQmCC\n" 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G1fB31/jw5xEx8B9JF6q1R36rpH9sooc2fZ0i6b+qn01N9ybpAbVW6z5Ta9/GDyX9maRnJb0t6TeSZg1Rb/+m1tDer6sVrLkN9bZIrVX01yVtqH4ubPq7K/Q1kO+N02WBJNhBByRB2IEkCDuQBGEHkiDsQBKEHUiCsANJ/B/ecrQGXaG2FAAAAABJRU5ErkJggg==\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "unique , total_count = np.unique(Y_train, return_counts=True)\n", - "plt.bar(unique,total_count)\n", - "plt.title(\"statistics of the training dataset\")\n", - "plt.show()\n", - "\n", - "\n", - "# Your code" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "outputId": "1b917ecf-520c-4f9d-a3ce-743556ed3990" - }, - "execution_count": 253, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "unique , total_count = np.unique(Y_test, return_counts=True)\n", - "plt.bar(unique,total_count)\n", - "plt.title(\"statistics of the testing dataset\")\n", - "plt.show()\n" - ], - "metadata": { - "id": "uwssasE1NDIt", - "outputId": "6fce66f7-3f4e-4e89-99bd-b041276e3a3d", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - } - }, - "execution_count": 254, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "\n", - "print(X_train.shape)\n", - "X_test.shape\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Zq9DJoXQ1ZQr", - "outputId": "1b6979cc-460c-41e2-b106-a454ccc60dbb" - }, - "execution_count": 255, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(8000, 28, 28)\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(2000, 28, 28)" - ] - }, - "metadata": {}, - "execution_count": 255 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "model = Sequential()\n", - "model.add(Conv2D(32, (3, 3), activation='relu',input_shape=(28, 28,1)))\n", - "model.add(Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPool2D((2, 2)))\n", - "model.add(Dropout(0.25))\n", - "model.add(Flatten())\n", - "model.add(Dense(128, activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(10, activation='softmax'))\n" - ], - "metadata": { - "id": "1L07EyQ0Yion" - }, - "execution_count": 256, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "UajnXuHX0VOD", - "outputId": "d667ebac-d760-418b-8973-67c2bcd13cc4" - }, - "execution_count": 257, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_16\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d_31 (Conv2D) (None, 26, 26, 32) 320 \n", - " \n", - " conv2d_32 (Conv2D) (None, 24, 24, 64) 18496 \n", - " \n", - " max_pooling2d_15 (MaxPoolin (None, 12, 12, 64) 0 \n", - " g2D) \n", - " \n", - " dropout_27 (Dropout) (None, 12, 12, 64) 0 \n", - " \n", - " flatten_14 (Flatten) (None, 9216) 0 \n", - " \n", - " dense_27 (Dense) (None, 128) 1179776 \n", - " \n", - " dropout_28 (Dropout) (None, 128) 0 \n", - " \n", - " dense_28 (Dense) (None, 10) 1290 \n", - " \n", - "=================================================================\n", - "Total params: 1,199,882\n", - "Trainable params: 1,199,882\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "model.compile(optimizer = 'adam' , loss = 'sparse_categorical_crossentropy', metrics = ['accuracy'])\n", - "# Compile the model (add optimizers and metrics)\n", - " \n" - ], - "metadata": { - "id": "nKEZ8cbO9JVV" - }, - "execution_count": 258, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "history = model.fit(X_train,Y_train,epochs = 10,validation_split = 0.2)\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "lLT9vX9OC9VF", - "outputId": "958af51b-a70c-45ba-af67-7dfe199245af" - }, - "execution_count": 259, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/10\n", - "200/200 [==============================] - 1s 5ms/step - loss: 0.6123 - accuracy: 0.8061 - val_loss: 0.1687 - val_accuracy: 0.9494\n", - "Epoch 2/10\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.2192 - accuracy: 0.9334 - val_loss: 0.1010 - val_accuracy: 0.9681\n", - "Epoch 3/10\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1375 - accuracy: 0.9553 - val_loss: 0.0854 - val_accuracy: 0.9712\n", - "Epoch 4/10\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1004 - accuracy: 0.9677 - val_loss: 0.0880 - val_accuracy: 0.9769\n", - "Epoch 5/10\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0790 - accuracy: 0.9750 - val_loss: 0.0761 - val_accuracy: 0.9769\n", - "Epoch 6/10\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0697 - accuracy: 0.9772 - val_loss: 0.0766 - val_accuracy: 0.9787\n", - "Epoch 7/10\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0573 - accuracy: 0.9823 - val_loss: 0.0761 - val_accuracy: 0.9775\n", - "Epoch 8/10\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0533 - accuracy: 0.9842 - val_loss: 0.0632 - val_accuracy: 0.9850\n", - "Epoch 9/10\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0442 - accuracy: 0.9852 - val_loss: 0.0570 - val_accuracy: 0.9831\n", - "Epoch 10/10\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0428 - accuracy: 0.9852 - val_loss: 0.0674 - val_accuracy: 0.9781\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot between accuracy and validation accuracy" - ], - "metadata": { - "id": "gHVzQklSPRhC" - } - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['accuracy'], label = 'accuracy')\n", - "plt.plot(history.history['val_accuracy'],label = 'validation_accuracy')\n", - "plt.xlabel('epoch')\n", - "plt.ylabel('accuracy')\n", - "plt.ylim([0.9,1])\n", - "plt.legend()" - ], - "metadata": { - "id": "fDTLFKPtPOvQ", - "outputId": "7f9e87d8-43b7-4ed2-e44c-26ea35c34496", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 300 - } - }, - "execution_count": 260, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 260 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "x=model.predict(X_test[:36])\n", - "arr=[]\n", - "for i in range(36):\n", - " n=np.where(x[i]==max(x[i]))\n", - " arr.append(n)\n", - "\n", - "for i in range(36):\n", - " \n", - " \n", - " plt.imshow(X_test[i],cmap = 'gray')\n", - " plt.xlabel(f\"{Y_test[i]}->{arr[i][0]}\")\n", - " plt.show()" - ], - "metadata": { - "id": "qAVveBGqRkbR", - "outputId": "aee2fa70-3c41-48d7-b8f2-14f786d08163", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - } - }, - "execution_count": 261, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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1OmNcJOmbanXOKJvvPZLOkbSy2X8B6tDvgR3RZxN1q4yIN9W6UcL4z/2zpMsl/Zukv4yIPW3mu1TSn0taGK1+2BhyhH3y+7xav6lftr2jmHZ3RGw66XPrJH0jIj7ocL6PqDUi7/PF8bwnI+L+OgpGMwj7JBcRv5DUydH1U7qBSETwt3Oa4Tc7OvU/kraOXVRTxvZX1Tpo9799qQod4+YVQBJs2YEkCDuQBGEHkiDsQBL/B6BZxgFPgXuNAAAAAElFTkSuQmCC\n" - }, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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}, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "" - ], - "metadata": { - "id": "qioZul7_uiYq" - }, - "execution_count": 239, - "outputs": [] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_200782.ipynb b/Assignment 3/A3_200782.ipynb deleted file mode 100644 index 08ac2c1..0000000 --- a/Assignment 3/A3_200782.ipynb +++ /dev/null @@ -1,528 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "VGHh_5UYzKpV" - }, - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "JnsMbCPNzPAr" - }, - "source": [ - "## Importing TensorFlow" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "6Ji7HGpgzSPi" - }, - "source": [ - "## Get the dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "outputs": [], - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "outputs": [], - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "rbt0WbW6sDVs", - "outputId": "60b6624a-8043-44e0-ec0a-0d5686d13595" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Training datasets: \n", - "(8000, 28, 28)\n", - "(8000, 10)\n", - "\n", - "\n", - "Validation datasets: \n", - "(2000, 28, 28)\n", - "(2000, 10)\n", - "\n", - "\n", - "Testing datasets: \n", - "(2000, 28, 28)\n", - "(2000, 10)\n" - ] - } - ], - "source": [ - "from keras.utils import np_utils\n", - "# pre-processing the respected datasets\n", - "# we can normalize data before hands such that large terms of the calculations can be reduced to smaller terms. \n", - "# Like, we can normalize the x_train and x_test data by dividing it by 255.\n", - "X_train = X_train.astype('float32') / 255.\n", - "X_test = X_test.astype('float32') / 255.\n", - "x_test = x_test.astype('float32') / 255.\n", - "\n", - "# enabling one hot encoding of class basically converting y_test,Y_train,Y_test from strings to vector forms\n", - "# Encode labels to one hot vectors (ex : 2 -> [0,0,1,0,0,0,0,0,0,0])\n", - "Y_train = np_utils.to_categorical(Y_train)\n", - "Y_test = np_utils.to_categorical(Y_test)\n", - "y_test = np_utils.to_categorical(y_test)\n", - "\n", - "print(\"Training datasets: \")\n", - "\n", - "print(X_train.shape)\n", - "print(Y_train.shape)\n", - "\n", - "print('\\n')\n", - "print(\"Validation datasets: \")\n", - "\n", - "print(X_test.shape)\n", - "print(Y_test.shape)\n", - "print('\\n')\n", - "print(\"Testing datasets: \")\n", - "print(X_test.shape)\n", - "print(Y_test.shape)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "EVpQheoVqoEG" - }, - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 307 - }, - "id": "yF1Nj63Bz9m7", - "outputId": "4f3178ca-c88d-416a-bb09-504f801a543d" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.figure(figsize=(15,4.5))\n", - "for i in range(9): \n", - " plt.subplot(3, 3, i+1)\n", - " plt.title('Label: {label}\\n'.format(label=y_train[i]))\n", - " plt.imshow(x_train[i].reshape((28,28)),cmap=plt.cm.binary)\n", - " plt.axis('off')\n", - "plt.subplots_adjust(wspace=-0.1, hspace=1)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Rx8muKSIrKhe" - }, - "source": [ - "# Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 398 - }, - "id": "37kehTG_6Pi4", - "outputId": "dec9be12-db79-4472-9bd1-16b135679e7d" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 13 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "import numpy as np\n", - "import pandas as pd\n", - "# column_val2 =['labels_of_Y_train']\n", - "# p1= plt.figure(figsize=(10, 5))\n", - "\n", - "# df = pd.DataFrame(data = y_train, columns = column_val1)\n", - "# #print(df)\n", - "# print('\\n')\n", - "# plt.title(\"Plotting training datasets statistics\")\n", - "\n", - "# plt.xlabel('digits') \n", - "# plt.ylabel('number of samples')\n", - "# df['labels_of_y_train'].value_counts().plot.bar()\n", - " \n", - " \n", - "Y_train_list = []\n", - "for i in Y_train:\n", - " Y_train_list.append(np.argmax(i))\n", - "\n", - "Y_train_datasets = np.array(Y_train_list)\n", - "# print(y_test_datasets)\n", - "p1= plt.figure(figsize=(10, 5))\n", - "column_val1 =['labels_of_Y_train']\n", - "df = pd.DataFrame(data = Y_train_datasets, columns = column_val1)\n", - "#print(df)\n", - "print('\\n')\n", - "\n", - "plt.title(\"Plotting training datasets statistics\")\n", - "plt.xlabel('digits') \n", - "plt.ylabel('number of samples') \n", - "df['labels_of_Y_train'].value_counts().plot.bar()\n", - "\n", - "\n", - "# Your code" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 398 - }, - "id": "c5ONCxVEetDe", - "outputId": "d7f2788d-e473-4e6f-da2d-12aab8b5bc31" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 15 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "# Plotting countplot for testing datasets. \n", - "# the y_test datasets has (12000,10) where each of the class is represented in one hot encoding.\n", - "# therefore we ran a loop to traverse in the array and to acquire the numbers from the index through np.argmax.\n", - "# for example [0. 0. 0. 1. 0. 0. 0. 0. 0. 0] ---> value will give 3 as 1 (maximum) is present in 3rd index. \n", - "# the results will be similarly append to the list which can be used for plotting count plot.\n", - "\n", - "Y_test_list = []\n", - "for i in y_test:\n", - " Y_test_list.append(np.argmax(i))\n", - "\n", - "Y_test_datasets = np.array(Y_test_list)\n", - "# print(y_test_datasets)\n", - "p1= plt.figure(figsize=(10, 5))\n", - "column_val2 =['labels_of_Y_test']\n", - "df = pd.DataFrame(data = Y_test_datasets, columns = column_val2)\n", - "#print(df)\n", - "print('\\n')\n", - "\n", - "plt.title(\"Plotting testing datasets statistics\")\n", - "plt.xlabel('digits') \n", - "plt.ylabel('number of samples') \n", - "df['labels_of_Y_test'].value_counts().plot.bar()\n", - "\n", - " \n", - "# displaying the title\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "kWlpCWdAr8d3" - }, - "source": [ - "## Model" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "id": "1L07EyQ0Yion" - }, - "outputs": [], - "source": [ - "# model building\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import (\n", - " BatchNormalization, Conv2D, MaxPooling2D, Activation, Flatten, Dropout, Dense\n", - ")\n", - "\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n", - "model=Sequential()\n", - " \n", - "model.add(Conv2D(filters=64, kernel_size = (3,3), activation=\"relu\", input_shape=(28,28,1)))\n", - "model.add(Conv2D(filters=64, kernel_size = (3,3), activation=\"relu\"))\n", - "model.add(MaxPooling2D(pool_size=(2,2)))\n", - "model.add(BatchNormalization())\n", - "\n", - "model.add(Conv2D(filters=128, kernel_size = (3,3), activation=\"relu\"))\n", - "model.add(Conv2D(filters=128, kernel_size = (3,3), activation=\"relu\"))\n", - "model.add(MaxPooling2D(pool_size=(2,2)))\n", - "model.add(BatchNormalization())\n", - "\n", - "\n", - "model.add(Conv2D(filters=256, kernel_size = (3,3), activation=\"relu\"))\n", - "model.add(MaxPooling2D(pool_size=(2,2)))\n", - "model.add(BatchNormalization())\n", - " \n", - "model.add(Flatten())\n", - "model.add(Dense(512,activation=\"relu\"))\n", - " \n", - "model.add(Dense(10,activation=\"softmax\"))\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "nKEZ8cbO9JVV", - "outputId": "31276c5a-926f-4c43-995c-ed515dc559bd" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/10\n", - "250/250 [==============================] - 2s 7ms/step - loss: 0.0634 - accuracy: 0.9831 - val_loss: 0.0813 - val_accuracy: 0.9785\n", - "Epoch 2/10\n", - "250/250 [==============================] - 1s 6ms/step - loss: 0.0322 - accuracy: 0.9898 - val_loss: 0.1118 - val_accuracy: 0.9750\n", - "Epoch 3/10\n", - "250/250 [==============================] - 1s 6ms/step - loss: 0.0327 - accuracy: 0.9918 - val_loss: 0.1225 - val_accuracy: 0.9765\n", - "Epoch 4/10\n", - "250/250 [==============================] - 1s 6ms/step - loss: 0.0297 - accuracy: 0.9909 - val_loss: 0.0608 - val_accuracy: 0.9845\n", - "Epoch 5/10\n", - "250/250 [==============================] - 2s 6ms/step - loss: 0.0306 - accuracy: 0.9910 - val_loss: 0.0763 - val_accuracy: 0.9790\n", - "Epoch 6/10\n", - "250/250 [==============================] - 1s 6ms/step - loss: 0.0170 - accuracy: 0.9944 - val_loss: 0.1189 - val_accuracy: 0.9790\n", - "Epoch 7/10\n", - "250/250 [==============================] - 1s 6ms/step - loss: 0.0283 - accuracy: 0.9911 - val_loss: 0.1190 - val_accuracy: 0.9720\n", - "Epoch 8/10\n", - "250/250 [==============================] - 1s 6ms/step - loss: 0.0214 - accuracy: 0.9929 - val_loss: 0.0850 - val_accuracy: 0.9825\n", - "Epoch 9/10\n", - "250/250 [==============================] - 1s 6ms/step - loss: 0.0163 - accuracy: 0.9948 - val_loss: 0.0839 - val_accuracy: 0.9865\n", - "Epoch 10/10\n", - "250/250 [==============================] - 1s 6ms/step - loss: 0.0106 - accuracy: 0.9970 - val_loss: 0.0699 - val_accuracy: 0.9880\n" - ] - } - ], - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.compile(loss=\"categorical_crossentropy\", optimizer=\"adam\", metrics=[\"accuracy\"])\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "\n", - "history = model.fit( X_train, Y_train, epochs=10, verbose=1, validation_data=(X_test, Y_test))\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "mWr9LgvFsMA2", - "outputId": "d6865e84-4027-4811-8be3-4b9b875a59cf" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "16/16 [==============================] - 0s 7ms/step - loss: 0.0699 - accuracy: 0.9880\n", - "Summary: Loss over the test dataset: 0.07, Accuracy: 0.99\n" - ] - } - ], - "source": [ - "evaluation = model.evaluate(X_test, Y_test, batch_size=128, verbose=1)\n", - "print('Summary: Loss over the test dataset: %.2f, Accuracy: %.2f' % (evaluation[0], evaluation[1]))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "ml1Kna_DuJrL" - }, - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 307 - }, - "id": "qioZul7_uiYq", - "outputId": "58996d1b-1f45-41a6-a532-1b4c27329051" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "y_pred = model.predict(x_test)\n", - "plt.figure(figsize=(15,4.5))\n", - "for i in range(9): \n", - " plt.subplot(3, 3, i+1)\n", - " plt.title('True value: {label1}\\n Predicted value: {label2}'.format(label1 =y_test[i].argmax() ,label2 =y_pred[i].argmax()))\n", - " plt.imshow(x_test[i].reshape((28,28)),cmap=plt.cm.binary)\n", - " plt.axis('off')\n", - "plt.subplots_adjust(wspace=-0.1, hspace=1)\n", - "plt.show()" - ] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "collapsed_sections": [], - "name": "A3_200782.ipynb", - "provenance": [] - }, - "gpuClass": "standard", - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file diff --git a/Assignment 3/A3_200914.ipynb b/Assignment 3/A3_200914.ipynb deleted file mode 100644 index 870f2eb..0000000 --- a/Assignment 3/A3_200914.ipynb +++ /dev/null @@ -1,444 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A3_200914.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "execution_count": 22, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 23, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing \n", - "X_test=X_test/255.0\n", - "X_train=X_train/255.0" - ], - "metadata": { - "id": "rbt0WbW6sDVs" - }, - "execution_count": 24, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.figure(figsize=(12,6))\n", - "for i in range(10):\n", - " plt.subplot(2,5,i+1)\n", - " plt.imshow(X_train[i])\n", - " plt.xlabel(Y_train[i])\n", - "plt.show()\n" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 357 - }, - "outputId": "20f8c5c1-f53c-4b78-d9e3-1850816a0ca9" - }, - "execution_count": 15, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "plt.figure(figsize=(15,5))\n", - "digits,count=np.unique(Y_train,return_counts=True)\n", - "plt.subplot(1, 2, 1)\n", - "plt.barh(digits,count)\n", - "plt.ylabel('Digits')\n", - "plt.xlabel('Frequency')\n", - "plt.title('TRAIN DATASET')\n", - "digits,count=np.unique(Y_test,return_counts=True)\n", - "plt.subplot(1, 2, 2)\n", - "plt.barh(digits,count)\n", - "plt.ylabel('Digits')\n", - "plt.xlabel('Frequency')\n", - "plt.title('TEST DATASET')\n", - "plt.show()\n", - "\n", - "\n", - "# Your code" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 350 - }, - "outputId": "0f8e47df-a365-4c68-e437-1f78aa88b467" - }, - "execution_count": 25, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n" - ], - "metadata": { - "id": "1L07EyQ0Yion" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model=keras.Sequential(\n", - " [\n", - " layers.Conv2D(32, (3, 3), padding=\"same\", activation=\"relu\",input_shape=(28,28,1)),\n", - " layers.Conv2D(64, (3, 3), padding=\"same\", activation=\"relu\"),\n", - " layers.MaxPooling2D(pool_size=(2, 2)),\n", - " layers.Dropout(0.2),\n", - " layers.Flatten(),\n", - " layers.Dense(128,activation='relu'),\n", - " layers.Dropout(0.5),\n", - " layers.Dense(10,activation='softmax')\n", - " ]\n", - ")" - ], - "metadata": { - "id": "EAciwPbgcf6s" - }, - "execution_count": 38, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "qiJijjWyc1R1", - "outputId": "dc8a0e93-5288-4afb-efde-8085fb4ad459" - }, - "execution_count": 39, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_4\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d_6 (Conv2D) (None, 28, 28, 32) 320 \n", - " \n", - " conv2d_7 (Conv2D) (None, 28, 28, 64) 18496 \n", - " \n", - " max_pooling2d_2 (MaxPooling (None, 14, 14, 64) 0 \n", - " 2D) \n", - " \n", - " dropout_4 (Dropout) (None, 14, 14, 64) 0 \n", - " \n", - " flatten_2 (Flatten) (None, 12544) 0 \n", - " \n", - " dense_4 (Dense) (None, 128) 1605760 \n", - " \n", - " dropout_5 (Dropout) (None, 128) 0 \n", - " \n", - " dense_5 (Dense) (None, 10) 1290 \n", - " \n", - "=================================================================\n", - "Total params: 1,625,866\n", - "Trainable params: 1,625,866\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "model.compile(optimizer='adam',loss='sparse_categorical_crossentropy',\n", - " metrics=['accuracy'])" - ], - "metadata": { - "id": "y-8FtcrsDjDW" - }, - "execution_count": 40, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "history=model.fit(X_train,Y_train,epochs=20,\n", - " validation_split=0.2)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "oNVVvmGBGooV", - "outputId": "bd309716-a8af-4482-af38-9c34c11277ac" - }, - "execution_count": 41, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/20\n", - "200/200 [==============================] - 13s 6ms/step - loss: 0.5614 - accuracy: 0.8272 - val_loss: 0.1436 - val_accuracy: 0.9569\n", - "Epoch 2/20\n", - "200/200 [==============================] - 1s 5ms/step - loss: 0.1856 - accuracy: 0.9430 - val_loss: 0.0972 - val_accuracy: 0.9737\n", - "Epoch 3/20\n", - "200/200 [==============================] - 1s 6ms/step - loss: 0.1239 - accuracy: 0.9603 - val_loss: 0.0795 - val_accuracy: 0.9762\n", - "Epoch 4/20\n", - "200/200 [==============================] - 1s 5ms/step - loss: 0.0962 - accuracy: 0.9694 - val_loss: 0.0710 - val_accuracy: 0.9800\n", - "Epoch 5/20\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0829 - accuracy: 0.9723 - val_loss: 0.0556 - val_accuracy: 0.9831\n", - "Epoch 6/20\n", - "200/200 [==============================] - 1s 5ms/step - loss: 0.0614 - accuracy: 0.9791 - val_loss: 0.0682 - val_accuracy: 0.9787\n", - "Epoch 7/20\n", - "200/200 [==============================] - 1s 5ms/step - loss: 0.0571 - accuracy: 0.9812 - val_loss: 0.0635 - val_accuracy: 0.9812\n", - "Epoch 8/20\n", - "200/200 [==============================] - 1s 5ms/step - loss: 0.0454 - accuracy: 0.9839 - val_loss: 0.0678 - val_accuracy: 0.9812\n", - "Epoch 9/20\n", - "200/200 [==============================] - 1s 5ms/step - loss: 0.0506 - accuracy: 0.9831 - val_loss: 0.0592 - val_accuracy: 0.9806\n", - "Epoch 10/20\n", - "200/200 [==============================] - 1s 5ms/step - loss: 0.0359 - accuracy: 0.9873 - val_loss: 0.0699 - val_accuracy: 0.9800\n", - "Epoch 11/20\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0368 - accuracy: 0.9892 - val_loss: 0.0583 - val_accuracy: 0.9825\n", - "Epoch 12/20\n", - "200/200 [==============================] - 1s 5ms/step - loss: 0.0289 - accuracy: 0.9898 - val_loss: 0.0550 - val_accuracy: 0.9856\n", - "Epoch 13/20\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0311 - accuracy: 0.9894 - val_loss: 0.0637 - val_accuracy: 0.9837\n", - "Epoch 14/20\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0251 - accuracy: 0.9912 - val_loss: 0.0671 - val_accuracy: 0.9806\n", - "Epoch 15/20\n", - "200/200 [==============================] - 1s 5ms/step - loss: 0.0287 - accuracy: 0.9897 - val_loss: 0.0631 - val_accuracy: 0.9837\n", - "Epoch 16/20\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0333 - accuracy: 0.9864 - val_loss: 0.0527 - val_accuracy: 0.9875\n", - "Epoch 17/20\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0197 - accuracy: 0.9920 - val_loss: 0.0625 - val_accuracy: 0.9850\n", - "Epoch 18/20\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0242 - accuracy: 0.9908 - val_loss: 0.0822 - val_accuracy: 0.9825\n", - "Epoch 19/20\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0240 - accuracy: 0.9909 - val_loss: 0.0634 - val_accuracy: 0.9875\n", - "Epoch 20/20\n", - "200/200 [==============================] - 1s 5ms/step - loss: 0.0204 - accuracy: 0.9930 - val_loss: 0.0700 - val_accuracy: 0.9844\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "#import matplotlib.pyplot as plt\n", - "pred=model.predict(X_test[:10])\n", - "pred=np.argmax(pred,axis=1)\n", - "print(pred)" - ], - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "bac13a07-645c-422b-e0a5-f4a4309bb301" - }, - "execution_count": 50, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[4 7 2 6 2 0 3 7 4 9]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.figure(figsize=(12,6))\n", - "for i in range(10):\n", - " plt.subplot(2,5,i+1) \n", - " plt.imshow(X_test[i])\n", - " plt.xlabel(f\"Actual:{Y_test[i]} Prediction:{pred[i]}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 357 - }, - "id": "1agQOE07iTZ0", - "outputId": "94de0008-f6a1-474b-b56f-996f5c8fd041" - }, - "execution_count": 54, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_200988.ipynb b/Assignment 3/A3_200988.ipynb deleted file mode 100644 index ca86580..0000000 --- a/Assignment 3/A3_200988.ipynb +++ /dev/null @@ -1,684 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A3_200988.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "execution_count": 36, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 37, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing " - ], - "metadata": { - "id": "rbt0WbW6sDVs" - }, - "execution_count": 38, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code\n", - "print(X_train.shape)\n", - "print(Y_train.shape)\n", - "print(X_test.shape)\n", - "print(Y_test.shape)\n", - "class_names = ['zero', 'one', 'two', 'three', 'four',\n", - " 'five', 'six', 'seven', 'eight', 'nine']\n", - "\n", - "plt.figure(figsize=(15,15))\n", - "for i in range(10):\n", - " plt.subplot(5,5,i+1)\n", - " plt.xticks([])\n", - " plt.yticks([])\n", - " plt.imshow(X_train[i])\n", - " plt.xlabel(class_names[(Y_train[i])])\n", - "plt.show()" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 423 - }, - "outputId": "e0001a82-6569-4b87-c536-f2fc49ca6e79" - }, - "execution_count": 39, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(8000, 28, 28)\n", - "(8000,)\n", - "(2000, 28, 28)\n", - "(2000,)\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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X+HfSHiVmpov+Z+7UK+UlL94oWdNPtPGFmdnDw7RBysG6vt9mftNCsraJNd5jInXlV9VmKL5mE5Nz0iVb1kPnWIvc2XoSpw18ul5+g2Qn3PSZd4x/rDdDsk8P/Zd32186btTtkrWcMDnWvihdDV9eK1ncRhC+hjkbHmwhWdYncyR78M2T9byHvRrrvCXB12Ro9u8HSdbv5J6SLe9cEiMqfjyZAgAAAIAAFFMAAAAAEIBiCgAAAAACUEwBAAAAQAAaUOzFgj+2lWxMrQ89W+piVDOznChXstznG0hWxRYXemxASVh9uC4UBXbX9qHvJDsw7XrJmh+mn2b/07pakrW67ifJWqzTBfU/vn6IdzwHZ+rL2IbEDh3jw+sly/ceEalsySlVY233x5v6SZaVOzXeSaJIojrP6Zyd9pw2uTAzu2bKbyR7ptknsU597ckfSPbywhMkqzuMphTJ1ndfbeAT13ej20hWs3KeZOnv15ZsYpt4zSbSnT5PmZOT49124ja9H76gxteS1UzLinVun3P2nSbZE9Yu+HiliSdTAAAAABCAYgoAAAAAAlBMAQAAAEAAiikAAAAACEADir1ocuCqIu0/d6d+EnuNl6cU6ZhAScpuFW9J/lvzD5Ospc0q7uGgDMpftVqyVrdq5tPCftDjxTzvp0c/vYc/0QXPZ827RLJqC7VxBsqfRHNtPuKz9vKtkjV9p3jH8v3funjz0U0fl+zTHdr8p9/kSyW7uL02yWh9xQLJNgyLM0KUpAU5jSXrVeX7WPt+edug4h6OWJy7RbKb+g/wbps1VufdPy+/TbJ1h2lzlsnnPCxZ7SI0qiiLeDIFAAAAAAEopgAAAAAgAMUUAAAAAASgmAIAAACAADSgKLDsjq6SfXXIYM+WThLfp0ibmf35vIs96dxCjgwofum19VPTzcz+3PuNWPtXnVq1OIcD/Je0qjq/aqfpAn0zs4TpgudtnuY/1Yo+LKSA/Gz9u/eZ1fkFySYs0kXxD954uWRZa7TJxYJ+uu9zv/E3TVmUl5Dsmjf6Sdb6D5Ml+6KS5+fAaSMBJN+IIX0ku/LuxyTLcOnFet6E6fxamrdTsn7X3CJZ1jhtNLEntUfq/PTdWZzylTaqqH7xMsnWjm0qWUObFHs8ycSTKQAAAAAIQDEFAAAAAAEopgAAAAAgAMUUAAAAAASokA0o0mvUkGy/E5dI5lvY7NN/WWdv7uYukizeEYGSlX9AM29+aY0JsfZvPH69ZLrkFQizvF8HT/pZ7P03bdIGFvWKMB6kjgP/R193D6l9hWQTuz4lWS9Pb4dezw4NHsuE7dqUwszssn8MkKzlkHgL7aO8vODxoHTVf1L/To+qfrNkD141UrKTqmbHOsei3BzJznzhVsma/0mbRVS2abHOUVS+RhU2UqOG9kOJj6Wk8GQKAAAAAAJQTAEAAABAAIopAAAAAAhAMQUAAAAAASpkA4r5g1pLtqDts8HHm7y8hTevv2N+8DGBkrSy8z6xt/0ud4tkaVu3S0YDCiTDqnydiy2fScJAUCbkr9PmOC36anbZoVdK9kOfOpLtf8JiyUa0el2ybq/cJlnbp5Z7x1h/cbxmEyh/mgzUv/shA9tqVoRzNDdPwweUKJ5MAQAAAEAAiikAAAAACEAxBQAAAAABKKYAAAAAIECFbECxf5O1wfuO3qoLVGsPqlaU4QClbvvRW2Nv+8LGoyXLW7y0OIcD/JeaJ62Ive3Q9V0kS5s4sziHg3IoMVsbRDWdrdvl/lWzS6ybZC09i/7zgkYGINXwZAoAAAAAAlBMAQAAAEAAiikAAAAACEAxBQAAAAABKmQDivyHG0j29uO1JTut2gbJHnjqIskajufTzJFaKk/3N01Z2FUbU7w76BjJ6vIJ6yhBK9bVjL3te0O7S1aP+QkAKCU8mQIAAACAABRTAAAAABCAYgoAAAAAAlBMAQAAAECACtmAovK4aZI9M66lZp59GxrNJpD6Gj/kn8f9H+omGc0mUNpaXjhLspPtcO+2NJsAACQTT6YAAAAAIADFFAAAAAAEoJgCAAAAgAAUUwAAAAAQgGIKAAAAAAJQTAEAAABAAIopAAAAAAhAMQUAAAAAASimAAAAACCAi6Io/sbOrTGzpSU3HJQzzaMoqpfMATBnUUjMWaSipM5b5iwCMGeRavY4ZwtVTAEAAAAAduHX/AAAAAAgAMUUAAAAAASgmAIAAACAABRTAZxz9znnjk/2OAAf59yNzrlvnHMvJXssQCiusyjrnHO1nHPXJXscQFzM2ZJBAwqgnHHOzTez46Mo+qkIx3C26/qQKL6RAUD54ZxrYWZjoyg6JMlDAWJhzpYMnkzthXOuRcE7/M865+Y55/7tnKvinBvpnDunYJslzrm/OOdmOOfmOOfaFeTVnHMjnHNTnXMznXOnJ/e7QUXgnBtqZi3NbJxz7lbn3FvOudnOuSnOuUMLtvmzc+623faZWzDXWzjnFjjnXjCzuWbWLDnfBSoSrrNIYX8zs1bOuVnOueecc6eZmTnnRjvnRhR8/Tvn3AMFXw8ouN7Odc7dnMRxo+JizpYAiqlf18bMhkRRdLCZbTSzsz3brI2i6HAze8rMfr5J/R8z+ziKoqPMrJeZ/cM5V600BoyKK4qia8xsue2acy3MbGYURYea2d1m9kKMQ7QxsyejKDo4iiI+gwOlhessUtGdZvZdFEUdzOwDM+tRkDcxs4MKvu5hZp865zqZ2RVmdrSZdTazq51zHUt5vABztgRQTP26xVEUzSr4errtukH9pTc9f97bzO50zs0ys0/MLMvM9iuxUQKqu5n908wsiqKPzayuc67Gr+yzNIqiKSU+MuC/cZ1FqptoZj2ccweZ2ddmtso518jMupjZJNt1PR4dRdHWKIq22K753GOPRwNKHnO2mFRK9gBSQM5uX+ebWZW9bJNv//f/1JnZ2VEULSjBsQEh8uy/30jJ2u3rraU8FsCM6yxSXBRFy5xztczsRDP71MzqmNl5ZrYliqLsXctQgbKDOVt8eDJVcj4ws/4FC/mNR6NIgolmdpGZmXOup+36NanNZrbEzA4vyA83s/2TND6gqLjOIpmyzaz6bv89xcxutl03phNt16+jTiz4s4lmdoZzrmrBr6KeudufAaWFOVsCeDJVcu43s8fMbLZzLs3MFpvZKckdEiqYP5vZCOfcbDPbZmaXFeRvmNmlzrl5ZvaFmS1MzvCAIuM6i6SJomidc+5z59xcMxtnu240e0dRtMg5t9R2vdM/sWDbGc65kWY2tWD3YVEUzUzGuFFxMWdLBq3RAQAAACAAv+YHAAAAAAEopgAAAAAgAMUUAAAAAASgmAIAAACAABRTAAAAABCAYgoAAAAAAlBMAQAAAEAAiikAAAAACEAxBQAAAAABKKYAAAAAIADFFAAAAAAEoJgCAAAAgAAUUwAAAAAQgGIKAAAAAAJUKszGma5ylGXVSmosKGd22FbbGeW4ZI6BOYvCYM4iFWXbhrVRFNVL1vmZsygs5ixSzd7mbKGKqSyrZke744pnVCj3vog+SvYQmLMoFOYsUtH46PWlyTw/cxaFxZxFqtnbnOXX/AAAAAAgAMUUAAAAAASgmAIAAACAABRTAAAAABCAYgoAAAAAAlBMAQAAAEAAiikAAAAACEAxBQAAAAABKKYAAAAAIADFFAAAAAAEoJgCAAAAgAAUUwAAAAAQgGIKAAAAAAJQTAEAAABAAIopAAAAAAhAMQUAAAAAASimAAAAACAAxRQAAAAABKiU7AGUZ2nVq0u2/sxDJOt5y2TJHqw/I9Y5tkc7Jet9282SVR81JdbxACDZdpxylGQ/nB55t32850uS3f7qZZK1uEevs6i4lo8+SLJZR70oWbrT95yHbGwm2aPv9ZGs7bNrvefOX7AozhABpAieTAEAAABAAIopAAAAAAhAMQUAAAAAASimAAAAACAADSiKQaX9m3vz/f+1UrK3Gw+OdcyFuTmSjd3SXrKbay+UbOTAhyW7/qfrJUv7bFassaBs2nxBZ8k+fWiIZMddd61kVcZMLZExAT9Lq1pVsvwObSS7auRbkp1ZbXrs8/x7ezXJ6s1MxN4f5d9d382WrFuWzjHfrElE+ZL1q7lEswv02rvtfG0QZWY2eoveM7x6zm/03HPne/cHULbwZAoAAAAAAlBMAQAAAEAAiikAAAAACEAxBQAAAAABaEBRDBbc0Mibv9X4Tcme2dRCsqeHnSpZk/HrJXOrNPt6TGM9R7NPJPvxRl1E2/wziVBWHaXNRx59QBc8JzxLqG/6xyjJpv+5hfc0b4/qHms4OXUjyc797eex9i0K3/iav7RUsryflpX4WPB/lt/WVbKTL5ok2YP1n4t1vLtXd5Ls40FdvNvWGTFZsmr2RazzoPzJ73m4ZC0zfC92VUp8LFVdpje/qPoKyU54b5hk3UbfJlmbm6YUfWAo3zofKtF3/dMlu7y9XjsH1NFmLUV11sIzJds4oplkNV9M3bnNkykAAAAACEAxBQAAAAABKKYAAAAAIADFFAAAAAAEoAFFIeX0OVKyWX0f8267JaHNAMZcpZ9y3miSLtT2fRK7z6KBR2s4+BM9R+3NMY+IMmnqHInSnM6SNM/7I2dU2yjZadVmek9z/42zJEuYNptIM1es22U4XRybG2nTlAdv0sWxXZdeI1n1UTSgKA4rb9LGEsdfqouExzYcJNlPedsla/efGySrNyZLsuqvTZOsTkIXSwO/lDH9W8nW52dI1kgvOV5HTLtYsi3ZOmd99muoTaPMzP59kDan2jddG2LMPlvvLQ51N0nW5kYarqSKRPcOkmU31/m0rs8OyTIr50r2SqfhkrWuNFWyyi7u7X7xlwXvHvCOhgM1Oryevj40fFTvj8sinkwBAAAAQACKKQAAAAAIQDEFAAAAAAEopgAAAAAgAA0oCmnVEbqQtcoePuX8L6s7SZZbQ7fdfnFnyeJ+EvQ+47+WbGqOLvpvWX2dZMurVZMssXVrrPMi+RKRvheS8LYuibtdYbYt3u1ytSdF7O1Wn5ojWfVRnqGg0LZ31uvB3xt+Kdm9a3RR9fRLD5as5WxtcAIUp0R2tmT5nkY4wzftJ9no3x0nWaPp8yWLcnfGGkta1arevPcx2jQnGrBGsg8PfkOyW49/T7K3rW6s8SD5vutbWbJvz3qyCEf033/+0rL8bZJd8PWlkm0e39C7f7N3dX7aar2v9NnWuZVkHz3ztGS3/P51yV6a0UeytP/4G2glE0+mAAAAACAAxRQAAAAABKCYAgAAAIAAFFMAAAAAEIAGFIW0s/X22Ns+2EAXattwzbrcq5/6HJdvse0VUy+XbF6P5yQ7bf+L9IBzdbEtyqYjK+ui6oTn/ZE0z+Lr6Tn+91Gm72ghWb+aS2Id0/feTNztMly6ZIM2tJTsw7UHStZklDaFQen6aGA3yWrMjtdEB0iGR2Zrs4n9p8yWzNPzJrbENl30b2aW+f40ydKWt5Ns3BvVJbuw+gLJHnlkgGStB/DzVxa52vGal8R1zJxzJKt5o+d1d/1GifZZ+71mppmZWb4nc520ydAPd+m53zjicc/eWZJcUH2ZZP9M991XlD1lcUwAAAAAUOZRTAEAAABAAIopAAAAAAhAMQUAAAAAASpmAwqnC+TSa9WSbMGfDpBsTq8nPAf0/2/ckNghWc+nb5es2fDJ3v1j8XwvlSolwo+HpKvUrKlkX9+rn0qesOmezPd3r++ZDLjreu+5a437WrLRnX7r3bakZU5fJFn+5pWSZZlmKJuibh0ky6um18/KK7dIltNwn9jnyZzgaSSQW7wLv5E6Lpx6lWQZX8WfT6UhMVubP938/iWSLTjrScmeO2OoZH8dcb6egwZTSddqiL5Gd3/vOskqb9SWD9XmrJCs5qa1kuVv3hw4usJZ/AdtHPWn9u9Ktipff9YeWdVFspyEHi9z9VbJyuIdLk+mAAAAACAAxRQAAAAABKCYAgAAAIAAFFMAAAAAEKBCNqDwNZsYM3e8Z0tfpgvkrlvWzXueHy/TRgLNvpn0a8MrFN/38lWX54v1HChd67vrvFl40hDJ0szzKeee90d8213wp3Hecw+v30eyxs/Plaw0Frj6PnEdpeuVzs96Un3ZaHOjNg8S184AABJVSURBVC45+G5dOHxlLZ3HtdOqSDY/N0eydhmV9zBK9eymZpL984ejJdv2tjZ2qT/0Cz1ggtmYylr01YYkqeCAu/Xn6txDT5bstdbvSbasdx3JGumlHKXMTf5Kshoxe5DlFfNYfNLbtPTmS87Ta+WbRz8sWVNPVZHtuX5+/uP+kjU7xzdBS6eZRlHxZAoAAAAAAlBMAQAAAEAAiikAAAAACEAxBQAAAAABKmQDiqJo+861ml0zdQ9bf1uygzGzvIOax9rupuWeJhlLlxXzaFAcDrpJF2EmvJ/5re+FxN2uX61F3nNfc+cgyXr2OVeyfU5MjUWhiG/bWdqg4dDM6bH2fW6/T2KeRZtNfLRdG0vc/dfrJUvP9R9x9TH6B/d0GyvZp+1f153ba3RIr8sk2+/cOf6TAyUokZ0t2fIt2gjA54SLtavB7EeKPCSkKF9jic2H1pPswD/4u5S809Rz/bR4TYGWJnZK5muUdsWk4yRbf2amZPmrVsc6b2niyRQAAAAABKCYAgAAAIAAFFMAAAAAEIBiCgAAAAAClPsGFO6IQyRb8cd4nyP9ry31JTvo/p8kK41Ppd6Txafpgm6fbzY2kCwze2lxDweFtOyOrpK912ywZAnP+x5p5jxH1O3uXd1RsmvqTvKOp0l6Vck+af+aZL3e16YUNc5bK1n+ZhpVpIrsJumS+eeYmp+bI9lpE6+T7IAHt+jOy1ZJVHezLp7fk1ovaPZ6tVaSPXH1WZK9fPPDks3qOkKyjn+8SbJm9/t/hoCy4Nza2hhrXpu+kuV/+31pDAdJVmvkBsneaeFrKhHfyfNPk2zdqGaSNfhQm51tPLKRZPVuWCLZmuE1JatzCg0oAAAAAKBcoJgCAAAAgAAUUwAAAAAQgGIKAAAAAAKUqwYUlZrrwrcuI76U7I668yS7Z3Unyeac31qy/GWLAkdXMv55rjYryHC6kHztlmqSNS6REaEw6n6t7UsSFnmyhGTTc/S9kAF3XS9Z9VenSHb27273jufSW9+TrF8tnfMTPE0pev5Lm1LscyINKFJFk9d1Ifq8W/WT6wet0k+p//a+gyRr/e40yfIDx1ZYia1bJWv4mDaMuDjvVsm+vEuvqc9eodl99x8eODqg5HXM1NeHpec0lKzpX2lAUREseKGdZJvveVeyw8dpsx0zszrTtVyo//Jcyepmx2vSts+SH3Q8G/Q+fMrzz0rWo682N/Ld55QmnkwBAAAAQACKKQAAAAAIQDEFAAAAAAEopgAAAAAgAMUUAAAAAARI2W5+UbcOkvV//hXJjquyTbKhG1tKNquj7yxlq3Pfqv5dJWud8blki3O1G1yDx7NKZEwomqx3pkp2XNq1kq1vpz+qTSZkS1Z9aryONnVGTPbmY+ceI9npr2v3yybpVSX7xNPhr+Md/XXfgdpVDcmXt2KlZLe36OzZUjvlVTbt3JcKstZrl0yfjpnajyq9bSvJ8hd+V+QxoWJKr1VTsnWnapfMv7d7ujSGg3Km/ouzJbvwi6skazsr/rU83tUzvs0tMmNtt6KXnrn6q8U8mELiyRQAAAAABKCYAgAAAIAAFFMAAAAAEIBiCgAAAAACpGwDihtG/ksyX7OJV7IbSDbuPN+i6gXFMaxik+iuDTbG3v53yTJcumR97x0gWe1P/A0HUPZUGaNNKZqMKaWTT50j0dB12vjkL/VnSpYo9uWoQNlQ2elL5Yre+tpSnwYUqe2o9hIlMvU11uf7a5xk+zVYH/vULarrtmOaDY69P7A3ia3aOMhmfV36AymQvm9dyXbU1Z+hdKfPfAb0+ECysVa7eAYWiCdTAAAAABCAYgoAAAAAAlBMAQAAAEAAiikAAAAACFDmGlCkZWVJtviFNpKdVHW6ZItycyT7+8jzJGsyb1Lg6ErG+iu6SPbufQ95ttTFeb3v9jSbeIFmEwiTXqumZI0yl0iW5pmLvDeD8ionypOs8eglkulWKKu+f1mbPH3UXRs+NEqvUhrDASqUxdcfINncfvrzlx/pvi8sPlqyOrawWMYVirsfAAAAAAhAMQUAAAAAASimAAAAACAAxRQAAAAABChzDShWXnW4ZHO6DYq170UDb5WsyVNlq9lEorsuej39lgmSZSd01V3v0bdJ1ppmE0lXqVlTydJf1KXoOceuLI3hFMnySw6WrF+t8ZIlPO/DJCxRImMCks03t/OWLU/CSBBibT9t8jSh+z8ka1COmk3kRLmS5XfMTsJIUJGkt20l2fx7tLHV+8fqz5+Z/vwN3dRcsqwRtYPGVpJ4MgUAAAAAASimAAAAACAAxRQAAAAABKCYAgAAAIAASW1AkV5bF5H1uWpirH1vWd5VskZvL5UsmZ9Iv6q/jnHs7X+XLNM5yfrce7tkrUfQbKIsWjBwX8m+aT1csjOanS5Z3o8/lciYfs2yO3Rumpl9daN+Armv2USa6Zz1vTfTZGDZagCD5NpyXmfJ/vq3oZL97cjfSJa/bn3RTp6WLlH6pas1czqP717Rw3NAXeCPsim71zbJitJsYmqOXv+yE3q8Iyr752zNtKzgc2+LdkrW4YP+ktWeliFZ86HcQyCMq6TlQlrblpJdNPojyc7fZ43niPrzsi6xXbLH3j5FspZvlr15zJMpAAAAAAhAMQUAAAAAASimAAAAACAAxRQAAAAABEhqA4qoWQPJ7q03Pta+73/aUbJWy6YUeUy7S6teXbJtxx4oWd0/LPbuP35//YTnHZFud+r/3CZZnRfK3gI7xJewhGSHvf2DZJ//SRfkZ70ztVjHsv30oyQ77fzPvNsmTCeo73vxvQ9zzOzzJKth3/36AFFhrDpjh2TdKuv82tFJFzZn/LtoDSjW9NOfg2nth0j2zU4d45x7OkiWadOKNB6Unqxp1STL7ZEvWYbTJiVtx/1esgOe0oXyiy7Q+4VhZz7jHU+3rHjNS3Ii3e5/VvSUrO2VX8Y6HopHg8k1JFt56/6SuUlflcZwgqXXqyfZtqNaeLetetsyyd5pOyrWeXz3Ffeu1nv4ifd3kawsNpvw4ckUAAAAAASgmAIAAACAABRTAAAAABCAYgoAAAAAAiS1AYXboYsrF+fp4t/9K+mnhU889yHJjm1yXfEMrMDgI16RrFeVTyTzfSK5mVnH0QMkO/CBJZLVWpkaC+zgV+sj/STvVd1zJHuwwWzJcofOlGzmE7og/8LJV0vmPGM5puUiyZ5pNlQy34JQM7M071H1PZdV+boAu+afqkrmPwsqqv1Gel5yjtXo8ifekmxUt0O9x8xfp40pcnsfIdmIOx7z7J0hyQPLT5Ys832aTaSyRo9Mkuyz67QpRa8qev+x8KSn9YAnFcuwftWhb90kWZsbviidk2OPZq5sKtnwl4ZJdv47N0hW70t9Pa373kLJosbaHCKRpder5cdq45OdNfWVt/2x30r2SPPRkjVJ19fxPdkS6X3Ogly9xl/y0o2StbhH73urWurObZ5MAQAAAEAAiikAAAAACEAxBQAAAAABKKYAAAAAIEBSG1DkL/xOshPG64LLhSfqAtB903XR/7wezxXPwAp8vkMX+/X++izJokfre/dv854upssr+rBQxtQdrgspz45ul2zS/YMlS5g2m+iYqe9xzDv2WcnSPO+F+I6XiLndz0eNs+1VZ18rWTRtzh6OCeyS+fEsydq+qo2D5vcdItn9g/bzHjN/TVvJXjvtCcnaZ+r1fOTmxpJtuEAXdJtt9J4bqeummedLNrvryFI595aELtw/cqL+HBwwLFuyPV25UXoS02pJ1vIIbUT27dlP6c5new741/CxpDt9zc6P4s4SbTbhO56Z2cLcrZJdff0tkmWNnSpZCyv/TdZ4MgUAAAAAASimAAAAACAAxRQAAAAABKCYAgAAAIAASW1A4dPu5gWSdT9DP0X63399RLKqLjPWOe5ceaRkYz4+WrIDhiyTLHPJUs8RfRkqsjojdMHlceu0aUOtAT9I9nab9yXL1Q80tzRznjPr+yNxtzMzO3tRH8k2PaQL/7Om6SJT4NdEedqCp/WAKZK1q3+VZKO7exZzm9nBGb7rvr60Pb6htWTv//4YydxSbZKB8qfpYJ0jPar1lWziYa8Gn+PA/1zpzds+sF2yVvN03tFsomxq+uAkyS575ULJvrmloWRTzvTdu6aHD8Zzb+Bz6jc6t9dt1QYUbkJt7/4Nv9giWdYU7gN+xpMpAAAAAAhAMQUAAAAAASimAAAAACAAxRQAAAAABHBRFHP1mpnVcHWio91xJTgclCdfRB/Z5mi9r/tBqUnFOZt9fmfJVp+aE2vf57sMl2zY6mMlmzKuvXf//f6iC2srEuYsUtH46PXpURQdkazzM2dRWMxZpJq9zVmeTAEAAABAAIopAAAAAAhAMQUAAAAAASimAAAAACCAfgQ4gKSqPmqKJ4u37312uCfNlmQ/q9iNJgAAAIoDT6YAAAAAIADFFAAAAAAEoJgCAAAAgAAUUwAAAAAQgGIKAAAAAAJQTAEAAABAAIopAAAAAAhAMQUAAAAAASimAAAAACAAxRQAAAAABKCYAgAAAIAAFFMAAAAAEIBiCgAAAAACUEwBAAAAQAAXRVH8jZ1bY2ZLS244KGeaR1FUL5kDYM6ikJizSEVJnbfMWQRgziLV7HHOFqqYAgAAAADswq/5AQAAAEAAiikAAAAACEAxBZRDzrkbnXPfOOc2OOfuTPZ4gF/DnEWqcc7Vcs5dl+xxAHuy+xx1zvV0zo1N9pjKI9ZMlQDnXHoURfnJHgcqLufcfDM7Poqin5I9FiAO5ixSjXOuhZmNjaLokCQPBfDafY4653qa2W1RFJ3yK/twD1tIPJnaC+fcNc65WQX/LHbOTXDO9XbOTXbOzXDOveac26dg2yXOuYHOuRlmdq5z7gLn3Bzn3Fzn3MAkfyuoQJxzQ82spZmNc87d4pwb7Jyr6Zxb6pxLK9immnPuR+dchnOulXPufefcdOfcROdcu+R+B6homLNIUX8zs1YF9wjPOedOMzNzzo12zo0o+Pp3zrkHCr4eUHBPMNc5d3MSx42K4//PUTP7h5nt45x73Tk33zn3knPOmXnvYfd0r9vJOfefgmvvB865Rsn71soOiqm9iKJoaBRFHczsSDP7ycxGmNk9tuvd08PN7EszG7DbLusK8k/NbKCZ/cbMOpjZkc65M0p18Kiwoii6xsyWm1kvM9tQkG0ys1lmdmzBZqeY2QdRFOWa2TNm1j+Kok5mdpuZPVnqg0aFxpxFirrTzL4ruE/4wMx6FORNzOyggq97mNmnzrlOZnaFmR1tZp3N7GrnXMdSHi8qnt3n6O1m1tHMbrZd87OlmXXbbduf72HHm+de1zmXYWaDzOycgmvvCDN7oNS+kzKsUrIHkCIeN7OPbdeL/EFm9nlBMZ9pZpN32+7Vgn8faWafRFG0xszMOfeSmR1jZm+V1oABj1fNrK+ZTTCz883syYJ3m7qa2WsFc9rMrHJyhgcI5ixSxUQzu9k5d5CZfW1mtQvete9iZjea2e/MbHQURVvNzJxzb9quQmtmksaLimnqz79KXfC0qoWZfVbwZz/fw3Y2/73uAWZ2iJl9WJCnm9mK0hp4WUYx9Succ5ebWXMzu8HM+pjZh1EUXbCHzbeW1riAAG+b2YPOuTpm1sl2vUFQzcw2FrxrBZQ1zFmkhCiKljnnapnZibbrt1PqmNl5ZrYliqLs3Qp/IJlydvs63/67Dvj5HtaZ517XOdfezOZFUdSlZIeYevg1v70oeCx/m5ldHEVRwsymmFk351zrgj+v5pxr69l1qpkd65zb1zmXbmYXmNl/SmvcgE8URVvMbJrtetI6Noqi/CiKNpvZYufcuWZmbpfDkjlO4GfMWZRx2WZWfbf/nmK7foXqU9v1pOq2gn9bwb/PcM5Vdc5VM7Mzd/szoKT8co7Gsad73QVmVs8516Ugz3DOHVyso01RPJnauxts17tLEwreVfrSzC43s1eccz//Wsk9ZrZw952iKFrhdrX2nWC7Kvx3oygaU1qDBvbiVTN7zcx67pZdZGZPOefuMbMMMxtlZl+V/tAAL+YsyqQoitY55z53zs01s3G2qzjqHUXRIufcUtt1/zCxYNsZzrmRtuvNVjOzYVEU8St+KFG/mKPbzWxVjH3WFPxW1n/d60ZRtNA5d46ZPeGcq2m7aojHzGxeCQ0/ZdAaHQAAAAAC8Gt+AAAAABCAYgoAAAAAAlBMAQAAAEAAiikAAAAACEAxBQAAAAABKKYAAAAAIADFFAAAAAAEoJgCAAAAgAD/D2X7YMHEF3PgAAAAAElFTkSuQmCC\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "x1=np.array([0,1,2,3,4,5,6,7,8,9])\n", - "y1=np.array([0,0,0,0,0,0,0,0,0,0])\n", - "print(x1)\n", - "print(y1)\n", - "\n", - "for i in range(8000):\n", - " extra=np.where(x1==Y_train[i])\n", - " y1[extra]=y1[extra]+1\n", - "\n", - "plt.title(\"Training Dataset\")\n", - "plt.bar(x1,y1,color=\"pink\") \n", - "plt.show() " - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 316 - }, - "outputId": "a4d9f8de-6776-4af2-d181-6c072daac84e" - }, - "execution_count": 40, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[0 1 2 3 4 5 6 7 8 9]\n", - "[0 0 0 0 0 0 0 0 0 0]\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "x2=np.array([0,1,2,3,4,5,6,7,8,9])\n", - "y2=np.array([0,0,0,0,0,0,0,0,0,0])\n", - "print(x2)\n", - "print(y2)\n", - "\n", - "for i in range(2000):\n", - " extra=np.where(x2==Y_test[i])\n", - " y2[extra]=y2[extra]+1\n", - "\n", - "plt.bar(x2,y2,color=\"cyan\") \n", - "plt.title(\"Testing Dataset\")\n", - "plt.show() " - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 316 - }, - "id": "SHV_GTXB3D9L", - "outputId": "3a2ed8b9-cb1d-43fb-fa60-79f0aa7b1111" - }, - "execution_count": 41, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[0 1 2 3 4 5 6 7 8 9]\n", - "[0 0 0 0 0 0 0 0 0 0]\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n", - "import tensorflow as tf\n", - "from tensorflow.keras import layers\n", - "from tensorflow.keras.models import Sequential\n", - "\n", - "model =Sequential([\n", - " layers.Conv2D(32,3,activation='relu',input_shape=(28, 28,1)),\n", - " layers.Conv2D(64, 3,activation='relu'),\n", - " layers.MaxPooling2D(),\n", - " layers.Conv2D(128, 3,activation='relu'),\n", - " layers.MaxPooling2D(2),\n", - " layers.Dense(128,activation='relu'),\n", - " layers.Dropout(0.25),\n", - " layers.Flatten(),\n", - " layers.Dropout(0.5),\n", - " layers.Dense(10,activation='softmax')\n", - "])\n", - "\n" - ], - "metadata": { - "id": "1L07EyQ0Yion" - }, - "execution_count": 42, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.compile(optimizer='adam',\n", - " loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n", - " metrics=['accuracy'])\n", - "model.summary()\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "\n", - "history = model.fit(X_train,Y_train,epochs=50,validation_data=(X_test,Y_test),verbose=2)\n", - "\n", - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label = 'val_loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('loss')\n", - "plt.legend(loc='upper right')\n", - "\n", - "test_loss, test_acc = model.evaluate(X_test,Y_test, verbose=2)\n", - "print(test_loss)\n", - "print(test_acc)" - ], - "metadata": { - "id": "nKEZ8cbO9JVV", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "c1b9bfe8-9510-4915-8fd9-df22c2af66e3" - }, - "execution_count": 43, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d_3 (Conv2D) (None, 26, 26, 32) 320 \n", - " \n", - " conv2d_4 (Conv2D) (None, 24, 24, 64) 18496 \n", - " \n", - " max_pooling2d_2 (MaxPooling (None, 12, 12, 64) 0 \n", - " 2D) \n", - " \n", - " conv2d_5 (Conv2D) (None, 10, 10, 128) 73856 \n", - " \n", - " max_pooling2d_3 (MaxPooling (None, 5, 5, 128) 0 \n", - " 2D) \n", - " \n", - " dense_2 (Dense) (None, 5, 5, 128) 16512 \n", - " \n", - " dropout_2 (Dropout) (None, 5, 5, 128) 0 \n", - " \n", - " flatten_1 (Flatten) (None, 3200) 0 \n", - " \n", - " dropout_3 (Dropout) (None, 3200) 0 \n", - " \n", - " dense_3 (Dense) (None, 10) 32010 \n", - " \n", - "=================================================================\n", - "Total params: 141,194\n", - "Trainable params: 141,194\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "Epoch 1/50\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "250/250 - 29s - loss: 1.0650 - accuracy: 0.7910 - val_loss: 0.1601 - val_accuracy: 0.9480 - 29s/epoch - 116ms/step\n", - "Epoch 2/50\n", - "250/250 - 28s - loss: 0.1990 - accuracy: 0.9386 - val_loss: 0.1043 - val_accuracy: 0.9655 - 28s/epoch - 111ms/step\n", - "Epoch 3/50\n", - "250/250 - 28s - loss: 0.1442 - accuracy: 0.9530 - val_loss: 0.0781 - val_accuracy: 0.9700 - 28s/epoch - 111ms/step\n", - "Epoch 4/50\n", - "250/250 - 28s - loss: 0.1021 - accuracy: 0.9669 - val_loss: 0.0775 - val_accuracy: 0.9760 - 28s/epoch - 111ms/step\n", - "Epoch 5/50\n", - "250/250 - 28s - loss: 0.0797 - accuracy: 0.9741 - val_loss: 0.0833 - val_accuracy: 0.9770 - 28s/epoch - 111ms/step\n", - "Epoch 6/50\n", - "250/250 - 28s - loss: 0.0846 - accuracy: 0.9726 - val_loss: 0.0680 - val_accuracy: 0.9765 - 28s/epoch - 111ms/step\n", - "Epoch 7/50\n", - "250/250 - 28s - loss: 0.0695 - accuracy: 0.9775 - val_loss: 0.0783 - val_accuracy: 0.9765 - 28s/epoch - 111ms/step\n", - "Epoch 8/50\n", - "250/250 - 28s - loss: 0.0692 - accuracy: 0.9771 - val_loss: 0.0743 - val_accuracy: 0.9800 - 28s/epoch - 111ms/step\n", - "Epoch 9/50\n", - "250/250 - 28s - loss: 0.0581 - accuracy: 0.9800 - val_loss: 0.0991 - val_accuracy: 0.9735 - 28s/epoch - 111ms/step\n", - "Epoch 10/50\n", - "250/250 - 28s - loss: 0.0587 - accuracy: 0.9808 - val_loss: 0.0554 - val_accuracy: 0.9805 - 28s/epoch - 111ms/step\n", - "Epoch 11/50\n", - "250/250 - 28s - loss: 0.0485 - accuracy: 0.9840 - val_loss: 0.0499 - val_accuracy: 0.9860 - 28s/epoch - 110ms/step\n", - "Epoch 12/50\n", - "250/250 - 28s - loss: 0.0368 - accuracy: 0.9874 - val_loss: 0.0906 - val_accuracy: 0.9800 - 28s/epoch - 110ms/step\n", - "Epoch 13/50\n", - "250/250 - 28s - loss: 0.0549 - accuracy: 0.9829 - val_loss: 0.0745 - val_accuracy: 0.9750 - 28s/epoch - 111ms/step\n", - "Epoch 14/50\n", - "250/250 - 28s - loss: 0.0350 - accuracy: 0.9883 - val_loss: 0.0710 - val_accuracy: 0.9780 - 28s/epoch - 111ms/step\n", - "Epoch 15/50\n", - "250/250 - 28s - loss: 0.0435 - accuracy: 0.9872 - val_loss: 0.0583 - val_accuracy: 0.9845 - 28s/epoch - 111ms/step\n", - "Epoch 16/50\n", - "250/250 - 28s - loss: 0.0273 - accuracy: 0.9905 - val_loss: 0.0913 - val_accuracy: 0.9805 - 28s/epoch - 111ms/step\n", - "Epoch 17/50\n", - "250/250 - 28s - loss: 0.0458 - accuracy: 0.9861 - val_loss: 0.0549 - val_accuracy: 0.9845 - 28s/epoch - 111ms/step\n", - "Epoch 18/50\n", - "250/250 - 28s - loss: 0.0344 - accuracy: 0.9899 - val_loss: 0.0727 - val_accuracy: 0.9795 - 28s/epoch - 110ms/step\n", - "Epoch 19/50\n", - "250/250 - 28s - loss: 0.0433 - accuracy: 0.9875 - val_loss: 0.0764 - val_accuracy: 0.9760 - 28s/epoch - 110ms/step\n", - "Epoch 20/50\n", - "250/250 - 28s - loss: 0.0293 - accuracy: 0.9910 - val_loss: 0.0756 - val_accuracy: 0.9775 - 28s/epoch - 110ms/step\n", - "Epoch 21/50\n", - "250/250 - 28s - loss: 0.0316 - accuracy: 0.9899 - val_loss: 0.0781 - val_accuracy: 0.9810 - 28s/epoch - 110ms/step\n", - "Epoch 22/50\n", - "250/250 - 28s - loss: 0.0351 - accuracy: 0.9906 - val_loss: 0.0674 - val_accuracy: 0.9825 - 28s/epoch - 111ms/step\n", - "Epoch 23/50\n", - "250/250 - 28s - loss: 0.0441 - accuracy: 0.9866 - val_loss: 0.0780 - val_accuracy: 0.9770 - 28s/epoch - 111ms/step\n", - "Epoch 24/50\n", - "250/250 - 28s - loss: 0.0266 - accuracy: 0.9924 - val_loss: 0.0674 - val_accuracy: 0.9830 - 28s/epoch - 111ms/step\n", - "Epoch 25/50\n", - "250/250 - 28s - loss: 0.0287 - accuracy: 0.9909 - val_loss: 0.0723 - val_accuracy: 0.9825 - 28s/epoch - 111ms/step\n", - "Epoch 26/50\n", - "250/250 - 28s - loss: 0.0286 - accuracy: 0.9918 - val_loss: 0.0963 - val_accuracy: 0.9785 - 28s/epoch - 111ms/step\n", - "Epoch 27/50\n", - "250/250 - 28s - loss: 0.0547 - accuracy: 0.9864 - val_loss: 0.1088 - val_accuracy: 0.9780 - 28s/epoch - 111ms/step\n", - "Epoch 28/50\n", - "250/250 - 28s - loss: 0.0405 - accuracy: 0.9875 - val_loss: 0.0782 - val_accuracy: 0.9845 - 28s/epoch - 111ms/step\n", - "Epoch 29/50\n", - "250/250 - 28s - loss: 0.0251 - accuracy: 0.9929 - val_loss: 0.0669 - val_accuracy: 0.9840 - 28s/epoch - 111ms/step\n", - "Epoch 30/50\n", - "250/250 - 28s - loss: 0.0228 - accuracy: 0.9927 - val_loss: 0.0757 - val_accuracy: 0.9840 - 28s/epoch - 111ms/step\n", - "Epoch 31/50\n", - "250/250 - 28s - loss: 0.0182 - accuracy: 0.9949 - val_loss: 0.0751 - val_accuracy: 0.9840 - 28s/epoch - 110ms/step\n", - "Epoch 32/50\n", - "250/250 - 28s - loss: 0.0202 - accuracy: 0.9954 - val_loss: 0.1019 - val_accuracy: 0.9800 - 28s/epoch - 111ms/step\n", - "Epoch 33/50\n", - "250/250 - 28s - loss: 0.0210 - accuracy: 0.9936 - val_loss: 0.1024 - val_accuracy: 0.9825 - 28s/epoch - 112ms/step\n", - "Epoch 34/50\n", - "250/250 - 28s - loss: 0.0363 - accuracy: 0.9898 - val_loss: 0.0744 - val_accuracy: 0.9885 - 28s/epoch - 113ms/step\n", - "Epoch 35/50\n", - "250/250 - 28s - loss: 0.0398 - accuracy: 0.9901 - val_loss: 0.0969 - val_accuracy: 0.9820 - 28s/epoch - 113ms/step\n", - "Epoch 36/50\n", - "250/250 - 28s - loss: 0.0487 - accuracy: 0.9889 - val_loss: 0.0677 - val_accuracy: 0.9865 - 28s/epoch - 113ms/step\n", - "Epoch 37/50\n", - "250/250 - 28s - loss: 0.0226 - accuracy: 0.9939 - val_loss: 0.0848 - val_accuracy: 0.9865 - 28s/epoch - 112ms/step\n", - "Epoch 38/50\n", - "250/250 - 28s - loss: 0.0215 - accuracy: 0.9936 - val_loss: 0.0790 - val_accuracy: 0.9875 - 28s/epoch - 113ms/step\n", - "Epoch 39/50\n", - "250/250 - 28s - loss: 0.0205 - accuracy: 0.9925 - val_loss: 0.0826 - val_accuracy: 0.9860 - 28s/epoch - 113ms/step\n", - "Epoch 40/50\n", - "250/250 - 28s - loss: 0.0192 - accuracy: 0.9951 - val_loss: 0.0766 - val_accuracy: 0.9865 - 28s/epoch - 113ms/step\n", - "Epoch 41/50\n", - "250/250 - 28s - loss: 0.0185 - accuracy: 0.9949 - val_loss: 0.0787 - val_accuracy: 0.9860 - 28s/epoch - 113ms/step\n", - "Epoch 42/50\n", - "250/250 - 28s - loss: 0.0219 - accuracy: 0.9946 - val_loss: 0.0998 - val_accuracy: 0.9790 - 28s/epoch - 112ms/step\n", - "Epoch 43/50\n", - "250/250 - 28s - loss: 0.0275 - accuracy: 0.9919 - val_loss: 0.0731 - val_accuracy: 0.9860 - 28s/epoch - 113ms/step\n", - "Epoch 44/50\n", - "250/250 - 28s - loss: 0.0302 - accuracy: 0.9925 - val_loss: 0.1174 - val_accuracy: 0.9835 - 28s/epoch - 112ms/step\n", - "Epoch 45/50\n", - "250/250 - 28s - loss: 0.0306 - accuracy: 0.9914 - val_loss: 0.0912 - val_accuracy: 0.9830 - 28s/epoch - 113ms/step\n", - "Epoch 46/50\n", - "250/250 - 28s - loss: 0.0311 - accuracy: 0.9933 - val_loss: 0.0827 - val_accuracy: 0.9840 - 28s/epoch - 111ms/step\n", - "Epoch 47/50\n", - "250/250 - 28s - loss: 0.0161 - accuracy: 0.9955 - val_loss: 0.0840 - val_accuracy: 0.9870 - 28s/epoch - 112ms/step\n", - "Epoch 48/50\n", - "250/250 - 28s - loss: 0.0306 - accuracy: 0.9934 - val_loss: 0.0682 - val_accuracy: 0.9885 - 28s/epoch - 112ms/step\n", - "Epoch 49/50\n", - "250/250 - 28s - loss: 0.0152 - accuracy: 0.9960 - val_loss: 0.0762 - val_accuracy: 0.9890 - 28s/epoch - 112ms/step\n", - "Epoch 50/50\n", - "250/250 - 28s - loss: 0.0197 - accuracy: 0.9951 - val_loss: 0.0727 - val_accuracy: 0.9870 - 28s/epoch - 112ms/step\n", - "63/63 - 2s - loss: 0.0727 - accuracy: 0.9870 - 2s/epoch - 26ms/step\n", - "0.07271380722522736\n", - "0.9869999885559082\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code\n", - "import random\n", - "\n", - "for _ in range(5):\n", - " idx=random.randint(0,len(Y_test))\n", - " plt.imshow(X_test[idx,:])\n", - " plt.xlabel(class_names[Y_test[idx]])\n", - " plt.show()\n", - "\n", - " pred=model.predict(X_test[idx,:].reshape(1,28,28))\n", - " score= tf.nn.softmax(pred)\n", - " print(score)\n", - " print(\"\\nThis image belongs to {} with a {:.2f} percent confidence.\\n\"\n", - " .format(class_names[np.argmax(score)], 100 * np.max(score)))\n", - "\n", - "#This can be another method\n", - "\n", - "#img=X_test[idx,:]\n", - "#img_array = tf.keras.utils.img_to_array(img)\n", - "#img_array = tf.expand_dims(img_array, 0) # Create a batch\n", - "\n", - "#predictions = model.predict(img_array)\n", - "#score = tf.nn.softmax(predictions[0])\n", - "#print(score)\n", - "#print(\"This image most likely belongs to {} with a {:.2f} percent confidence.\".format(class_names[np.argmax(score)], 100 * np.max(score)))" - ], - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "3b0755ff-d972-427a-8b24-8012f693b689" - }, - "execution_count": 44, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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ExIa6e0FncWRPzPbXNfhBou/b/oztr9r+Vdsv2T6kWmeC7Vds99k+wfbD1UVC/2H75Hr/BNgfhD2xiPi4pJ9K+qCkbdWy/9XgJ7s+UK12iaRHImKXBr8Y8RMRcaakv5B0R9ebRtPG1t0AetJCSR+RtFSD1y7cUV2pdY6k7wx+xFuSNK6e9tAMwo7hLJb0BduTJZ0p6d8kTZD0PxExs9bO0DRO4/EOEfG6Bq9OvF3Sv8bg5ZfbJb1o+4+lwSu4bJ9WZ5/YP4QdjSyU9CfV7T5XSppre99VgXyd2AGEoTcgCY7sQBKEHUiCsANJEHYgCcIOJEHYgSQIO5DE/wHLwmz04w8MagAAAABJRU5ErkJggg==\n" - }, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "tf.Tensor(\n", - "[[0.08533674 0.08533674 0.08533674 0.08533674 0.08533674 0.23196931\n", - " 0.08533674 0.08533674 0.08533674 0.08533674]], shape=(1, 10), dtype=float32)\n", - "\n", - "This image belongs to five with a 23.20 percent confidence.\n", - "\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" 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8evWFjYdt/8Q231rcCxD23OZKujYijpP0f5LOmeAxL8bYF4Ouk/SZatmVkn4UEfMkfUTSNdXHi9HHCHtuz0XEyur2CklHTvCYWyeonybpCtsrJd0jaZqk93WsS7TF/r1uAD21bdztnZLeU3jMTv3y98WSzomIJzvYG9qMPTuacaekS6pvccn2CT3uB5NA2NGMv5Y0IGmV7TXVffQ5ht6AJNizA0kQdiAJwg4kQdiBJAg7kARhB5Ig7EAS/w/4Bmd3vXB5PQAAAABJRU5ErkJggg==\n" 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suf0wIlZX9x+TdPgYz7l3jPrpkpbYXi3pXyVNk3RY17pELfZrugE0aueo+3sk7V94zh69+/diSedGxDNd7A01Y8+Odjwo6ferq7hk+7iG+8EEEHa0408kDUh6yva66jH6HENvQBLs2YEkCDuQBGEHkiDsQBKEHUiCsANJEHYgif8HZWA64jrsPt0AAAAASUVORK5CYII=\n" - }, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "tf.Tensor(\n", - "[[0.08533674 0.08533674 0.08533674 0.08533674 0.08533674 0.08533674\n", - " 0.08533674 0.08533674 0.08533674 0.23196931]], shape=(1, 10), dtype=float32)\n", - "\n", - "This image belongs to nine with a 23.20 percent confidence.\n", - "\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_200995.ipynb b/Assignment 3/A3_200995.ipynb deleted file mode 100644 index c70acbc..0000000 --- a/Assignment 3/A3_200995.ipynb +++ /dev/null @@ -1,734 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A3_200995.ipynb", - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "3# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n" - ], - "metadata": { - "id": "ZsOP1a-pd1tI" - } - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "id": "tZ8IkIwQozW3" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "1BmdlFLIUhkC" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "qOdKxyZipOTb", - "outputId": "b1cca524-f277-4b38-9a8b-2c1c51858ac7" - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n", - "11493376/11490434 [==============================] - 0s 0us/step\n", - "11501568/11490434 [==============================] - 0s 0us/step\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "nT8pWJ5jpS1x" - }, - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "print(x_train.shape, y_train.shape, x_test.shape, y_test.shape)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "ahBC4ZZmphbX", - "outputId": "df7a1e88-6771-4b0d-ce06-fa429a3e2d94" - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(60000, 28, 28) (60000,) (10000, 28, 28) (10000,)\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing \n", - "print(X_train.shape,Y_train.shape )\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "LvJSl4F5pTBD", - "outputId": "b5802cfc-8185-4882-fa8d-df6f44152a9b" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(8000, 28, 28) (8000,)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "Cqf5gPvCUmqq" - } - }, - { - "cell_type": "code", - "source": [ - "#displaying a random image\n", - "\n", - "plt.imshow(X_train[90])\n", - "plt.show()\n", - " \n", - "#print the corresponding label\n", - "print(Y_train[90])" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "id": "s23XExrBUMNa", - "outputId": "dd8a196d-ef94-4e0a-a222-751e3737a8eb" - }, - "execution_count": 86, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "5\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code\n", - "plt.figure(figsize=(10,10))\n", - "for i in range(16):\n", - " # define subplot\n", - " plt.subplot(4,4,i+1)\n", - " plt.xticks([])\n", - " plt.yticks([])\n", - " plt.grid(False)\n", - " plt.imshow(X_train[i], cmap='gray')\n", - " plt.xlabel(Y_train[i])\n", - "\n", - " #plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 589 - }, - "id": "y6bVOugypsnn", - "outputId": "29490d23-e4e5-4b1c-bd2e-1219a055976c" - }, - "execution_count": 27, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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YPGPM/UnXg9xjjBlujNlgjFmYdC3IXXwW/X80POHuFJGvki4CuckYU0JEnheRi0SkvohcZYypn2xVyEEviciFSReB3MVnkUbD4zDGVBORtiIyLOlakLPOEJE8a+1Sa+0uERkrIpckXBNyjLV2lohsSroO5DQ+iw5CwxP0rIj0FpF9SReCnFVVRFYelFcdOAYA2cRn0UFoeA5ijGknIhustfOSrgUAAMSHhkc7W0TaG2OWyf5Hf+caY0YmWxJy0GoRqX5QrnbgGABkE59FB6HhOYi1to+1tpq1tpaIXCki06y11yZcFnLPJyJS1xjzG2PMobL/XvpXwjUBKH74LDoIDQ8QM2vtHhHpKSJTZP9P+71urf0y2aqQa4wxY0Tk3yJyojFmlTHmpqRrQm7hs0hjawkAAOA9nvAAAADv0fAAAADv0fAAAADv0fAAAADv0fAAAADv0fAAAADv0fAAAADv0fAAAADv0fAAAADv0fAAAADv0fAAAADvlYxysjGGjbc8Za012Xgf7iF/ZeseEuE+8hmfRYjBRmttZfcgT3gAAIBPlocdpOEBAADeo+EBAADeo+EBAADeo+EBAADeo+EBAADeo+EBAADeo+EBAADeo+EBAADeo+EBAADeo+EBAADeo+EBAADeo+EBAADeo+EBAADeo+EBAADeK5l0AUXVUUcdFTj20EMPqXz77berbIxR2Vqb9hqPP/54QUsEEKM+ffqo/OSTTyZUiTZz5szAsRYtWqR8zR133KHyoEGDAueEfT4BPuMJDwAA8B4NDwAA8B4NDwAA8F6xmeEpU6aMyhUqVFC5WbNmKo8bNy5wDfc773Q5zI033qjy6tWrVR4xYkTaawCIX1GZ2aldu7bKtWrVCpyzb9++lNd49tlnVd69e3fgnBdeeCF6cci6TZs2BY4deeSRKletWlXlNWvWZLSmXMUTHgAA4D0aHgAA4D0aHgAA4D0vZ3hq1KgROPbcc8+p3K5du0K/j/u9+M6dO1UuW7Zs4DU1a9ZUuXXr1iozw+O3hx9+ONL5/fv3Dxxr1aqVyjNmzChERShqqlevrnK1atXSvmbXrl0qlyhRQuWzzjor8BpmeHJD2GwoaygVDE94AACA92h4AACA92h4AACA92h4AACA97wYWm7cuLHK06ZNC5zjLjSYzoIFCwLHpkyZorK7qV/Xrl1Vvuyyy9K+z/r16yPVhaLDHUBu2bKlyuecc05G3nf69Okqu5vWIrcceuihKrdv3z7yNdyNjO+8806VzzzzzMBr3B/uWLFiReT3BXIJT3gAAID3aHgAAID3aHgAAID3vJjhOeyww1Reu3Zt4JxvvvlG5cqVK6vsfuc9YcKEtO/rLubVvHnztK/58ccfVXYXRERmRF3wz53HEcncTA6Kl9KlS6v8xBNPqNyrV6+01/jiiy9UfvPNN1Xu0qWLyu7myCLBmUT38+ynn35KWweQS3jCAwAAvEfDAwAAvEfDAwAAvOfFDM/cuXNVDpu/2Lp1q8pHH320yitXrkz7PmeccYbK7vfmxxxzTNprjB49WuW8vLy0r0Fq7myNu05NUh555JG05xRk7Z78XBdFV4sWLVRON7Ozbdu2wLGBAweq/MMPP6h83XXXqTxnzpzANerVq6fylVdeqfKQIUNS1gXkGp7wAAAA79HwAAAA79HwAAAA73kxw+PauHFj2nPSzex07tw5cMxd2yLdzI47ryMi8sADD6StDdnnzsXMmDEjcE7YscJy1wdirR+/uGuEiYj07t070jXeeuutwLGRI0emfM2yZctU/vbbbwPnVKlSReW7775b5VGjRqn8yy+/pHxPxOPII49UuWTJwv81/Z///CdwbMSIESoPHjy40O9T1PGEBwAAeI+GBwAAeI+GBwAAeI+GBwAAeM+LoeW2bduq7C7sJSLSoUOHSNesU6dO4Ji1NtI13KE/EQb/MsEdJjbGJFNIAfTv3z/pEhAjd0j5z3/+c+Ccc889N9I141gAcOjQoYFj7oai7mfeNddcE3sdSO/0009XuVy5coW+ZqVKlQLHnn32WZWnTZum8uLFiwv9vkUNT3gAAID3aHgAAID3aHgAAID3cnKGx52N6dSpk8qlSpXKZjm/KmyG56GHHlL5+eefz1Y5KAKiLiwYttihu1ghio4aNWqo3LNnz8jXmDJlisqLFi0qVE0F5W4uitz12WefBY7Vrl1b5UsvvVTlsPmzXMcTHgAA4D0aHgAA4D0aHgAA4L2cnOFxN1fL1szO1KlTVXY35OvRo4fKFStWDFzD/U5//PjxKq9fv74wJaKImz59eqTzZ86cmaFKkAlXX3115Ne4MzrXXnutyps2bSpUTcAzzzwTOOauTXfZZZepzAwPAABADqLhAQAA3qPhAQAA3svJGZ4dO3aovHXr1sjX+PTTT1V253OefPLJyNe87bbbVJ48eXLgnNatW6tcs2ZNlZnh8UfUNXfCsOZO0Xbfffep3L1798jXWLBggcqZmNlx1/YREdmwYYPKxxxzjMqXX365yn379g1cY/v27TFUh4O5+y3u3bs3cE6JEiVU/tvf/qbyX/7yF5XD1uH57rvvVHb323L3hXP/3s1FPOEBAADeo+EBAADeo+EBAADeo+EBAADey8mh5Y4dOyZdQr5Ya9Mee+CBB1R2F3/as2dP/IUhK/r37x/5NWGbhaLoqlOnjsru4G+YiRMnqnz77bfHWlOYsMVZjTEpX1O1alWV3UFZZMacOXNU/vnnnwPnuIvvuhtou/mbb74JXOP4449XuXTp0iq7g8/ff/994Bru0Pq//vUvld2B67y8vMA1soknPAAAwHs0PAAAwHs0PAAAwHs5OcPjk4svvljlWrVqqZz0d57IP3eRwPwsPOjO7LRq1Sq+ghA7dzE2d+FQ1yeffBI4NmDAAJU3b95c+MLSOPfccwPHKleunPI17ubIzBMm45577gkccxeBrF27dspr1K1bN/L7ugvp5oe74ah7z7Ro0SLwmrlz50Z+n4LiCQ8AAPAeDQ8AAPAeDQ8AAPAeMzwxcudvGjdunEwhyBkzZ85MugRE4K5/ct5556U8/z//+U/g2McffxxrTZkyYcIElX3YPDIXvfTSS4Fj//znP1Vu1qyZyu7MVsWKFQPX+MMf/qCyuy5P2NpNLnednVWrVqm8e/dulTdu3Jj2mpnEEx4AAOA9Gh4AAOA9Gh4AAOC9IjfD4+7fIiIydOjQSNf46quvAsfcdQvcPUAK4vDDD1f5wQcfVLlKlSpprzF79myV16xZU+i6kIyWLVsmXQIStmXLFpVHjRqVSB3uPOF9992XSB3IDPc+mzJlSsqcH+5cUIcOHVS+8cYbA6/5/PPPVZ4/f37k980mnvAAAADv0fAAAADv0fAAAADv0fAAAADvFbmh5W7dugWOtW7dOtI1ws5v3ry5yu6w8Pvvvx/pPUSCCzWFDXWl89FHH6m8bdu2yNdAMgqyWajL3TwURZv7OeJat26dyplaZLBGjRoqu4vI3XXXXSqfdNJJGakD/hg/frzK7tBymKI+pOziCQ8AAPAeDQ8AAPAeDQ8AAPCesdbm/2Rj8n9yAb344ouBYzfccEOm3zbAGBM4FuXX6te4MzvuvFEcCyIWhLU2+D84A7JxD2VLHPdDq1atVM7lmZ5s3UMiyd1Hxx13nMruZokbNmxQ+dFHHw1cY968eSo3bdpU5Zo1a6p89tlnB65RoUIFlU855ZRfqXi/xYsXB46tXbtWZXfuZ9myZSr//PPPKd8jLnwWJePEE09U2V3Ad+XKlYHXnHDCCSrv2bMn/sIKZp619jT3IE94AACA92h4AACA92h4AACA94rcOjz54X6XuHTpUpXdORmR4Pfg2djocfjw4YFj/fv3VzmpmR0kw6eZneJo69atKn/55Zcqu7M0gwYNClxjx44dKh922GExVffrnnvuucAx9/Np9+7dKu/bty+jNaFo2bt3b8pcvXr1wGtOO02PycydOzf+wmLEEx4AAOA9Gh4AAOA9Gh4AAOC9IjfDE/Zds7sOj/tdopvD5nPc794z4fvvv1f56aefDpyzZs2ajNeBzHD3zioIZnZym7sWjbtXVrr1cEQyM7Pz8ssvq+yu/7NixYrAa5jRwcHy8vJUXrhwocqNGjXKZjkZwRMeAADgPRoeAADgPRoeAADgPRoeAADgvSI3tPz5558HjtWrV0/ld999V+XatWunve4RRxwRqQ53ES4RkaeeekrliRMnqvzZZ5+pzKKCfnEXjUzHXWQQ/rnllltU/vTTT1X++9//HnjN7NmzVW7evLnKo0aNUnnatGmBa7jnuJs2xrGxLYq3WbNmqczQMgAAQA6g4QEAAN6j4QEAAN4zUb7rNcbwxbCnrLUmG++TK/dQ2CKD6WZ43EUFi9sMT7buIZHcuY8QHZ9FRUOVKlVU/uSTTwLnnHvuuSq7ixcmaJ619jT3IE94AACA92h4AACA92h4AACA94rcOjxArpo5c2bSJQBALNavX69yjRo1EqokPjzhAQAA3qPhAQAA3qPhAQAA3mMdHogIa1+g8FiHB3HgswgxYB0eAABQPNHwAAAA79HwAAAA79HwAAAA79HwAAAA79HwAAAA79HwAAAA79HwAAAA70XdPHSjiCzPRCFIVM0svhf3kJ+yeQ+JcB/5is8ixCH0Poq00jIAAEAu4istAADgPRoeAADgPRqegxhjDjPG/McY85kx5ktjzCNJ14TcY4w50Riz4KB/fjbG9Eq6LuQWY8yFxpjFxpg8Y8z9SdeD3GWMKWGM+a8x5p2ka0kSMzwHMcYYETnCWvuLMaaUiHwoIndaa+cmXBpylDGmhIisFpEzrbUMSCJfDtw3S0TkAhFZJSKfiMhV1tpFiRaGnGSMuVtEThOR8tbadknXkxSe8BzE7vfLgVjqwD90hCiM80TkW5odRHSGiORZa5daa3eJyFgRuSThmpCDjDHVRKStiAxLupak0fA4Djz6WyAiG0RkqrX246RrQk67UkTGJF0Eck5VEVl5UF514BgQ1bMi0ltE9iVdSNJoeBzW2r3W2sYiUk1EzjDGNEi6JuQmY8yhItJeRMYlXQuA4scY005ENlhr5yVdS1FAw/MrrLWbRWS6iFyYdC3IWReJyHxr7fqkC0HOWS0i1Q/K1Q4cA6I4W0TaG2OWyf6vRc81xoxMtqTk0PAcxBhT2RhT8cD/f7jsHxj8OtmqkMOuEr7OQsF8IiJ1jTG/OfCk8EoR+VfCNSHHWGv7WGurWWtryf57aJq19tqEy0pM1K0lfHeciLx84CckDhGR1621xfrH+FAwxpgjZH/D3D3pWpB7rLV7jDE9RWSKiJQQkeHW2i8TLgvIafxYOgAA8B5faQEAAO/R8AAAAO/R8AAAAO/R8AAAAO/R8AAAAO/R8AAAAO/R8AAAAO/R8AAAAO/R8AAAAO/R8AAAAO/R8AAAAO9F2jzUGMPGW56y1ppsvA/3kL+ydQ+JcB/5jM8ixGCjtbaye5AnPAAAwCfLww7S8AAAAO/R8AAAAO/R8AAAAO/R8AAAAO/R8AAAAO9F+rF0AEC8DjlE/3fnnXfeqfJf//rXwGv69u2r8oABA+IvDPAMT3gAAID3aHgAAID3aHgAAID3aHgAAID3GFoGgATVq1dP5YEDB6q8b9++wGtOP/30jNYE+IgnPAAAwHs0PAAAwHs0PAAAwHvM8ABZVKVKFZWHDRumcrt27VRetWpV4BodOnRQOS8vT+XNmzcXpkRkWaNGjZIuASgWeMIDAAC8R8MDAAC8R8MDAAC8xwwPEJNatWqp3KRJk8A5Q4YMUblSpUoqu2uuHHfccYFrzJ07V+VvvvlGZXezyaFDh4YXjESUKlVK5aeeeiryNV577bW4ykEOuueee1Tu16+fyhUqVFA5bBbwggsuULlq1aoqN23aNHJdr776qspr166NfI1M4gkPAADwHg0PAADwHg0PAADwnrHW5v9kY/J/co4755xz0h5r2bJl2te4ZsyYofIjjzyS8t9ni7XWZON9cvkeql69usq33HKLyl26dFHZXXMnP4zRvw1R/nz+P6tXr1a5Zs2aka9RENm6h0Ry+z469NBDVd6+fXvK8xcsWBA41qJFC5W3bt1a+MKKiOL+WeTeHy6boSEAAB3rSURBVC+//HLgnM6dOxf6fX755ReVS5bUI72HHXZY5Gv+97//VdldM2zlypWRr1lA86y1p7kHecIDAAC8R8MDAAC8R8MDAAC8R8MDAAC8V2wXHnz44YdVLsgAckGku25SQ8vQjj/++MCxiRMnqly/fn2V8zNwPGbMGJUnTZqksjv0d9NNNwWuUa9ePZXbtm2rcrly5VKeLyKyZMmSwDFkx6233hrp/LCBZJ+GlKG5w8NhC5jGoWzZsrFf0621YcOGKmdxaDkUT3gAAID3aHgAAID3aHgAAID3vJzhCZuT6d+/f9pzklBU6ijuKlasqPK0adMC59StWzflNdwF/3r37h04Z+zYsZHquvfeewPH3EXH2rVrp7K7oBjzOsk566yzAscee+yxlK/Zu3evyu5msPDbtm3bVH7mmWcC57iLnLqzM+5ill9//XXa9/3Xv/6l8rJly1QePnx44DWlS5dOe92ihCc8AADAezQ8AADAezQ8AADAe17M8Lhr6rjzOnFxN/p039edx8nPLJF7TSSjV69eKtepUydwjruuztChQ1V2v2uPY3bGXVNHJDjD49ZVkA1HEY/DDz9c5XHjxgXOKVOmjMpbtmxRuVmzZiovWrQopuqQi4YMGZL22EUXXaSye099+OGHad+nVKlSKs+fP1/l/MzrzJ49W+V58+alfU028YQHAAB4j4YHAAB4j4YHAAB4LydneOKY2XH3rHJnaQqyp5X7mrBruMdYhycZV111lcr9+vVTOWwOZtWqVSr37dtX5R9++KHQdf3+979X+fnnnw+cc8opp6jszgqxbktybr75ZpXD9mRzrVixQmVmdhDV5MmTI7/mkEP0845rrrlGZXevwPxw1x5bt25d5GtkEk94AACA92h4AACA92h4AACA92h4AACA93JiaDmOIeVWrVqpXJCh5HTcAeSwOtMNKbds2VJlt27E49hjj438GncouUGDBirPnDlT5bCB1SuuuELl3/72tyq3b99e5SOOOCJtXe5mlGPGjEn7GsSjdu3aKt9///2RrxG2KSOQaV27dlX5H//4R+RrfPnllyq7GygXNTzhAQAA3qPhAQAA3qPhAQAA3kt8hieOuRd3HieOuZew93SPufM2LCJYdLkbNv7xj39U2RiT9hqNGzdWedq0aSmvUZBNPAtyjbvvvltld+PAd955J3IdyJ+lS5eqvGHDBpXDZsXc31P3GnF48MEHVb7wwgvTvsa9T0aMGKGy+78NuaNy5cqBYz169Ih0DXezZBGRnj17qrxnz55ohWUZT3gAAID3aHgAAID3aHgAAID3TJQ5A2NM9KGENOJYY8fd+LMgCvK+ccjE/FFBWGvTD7HEIBP3UH5cfvnlKrsbbL755psqX3nllYFrVKpUKeV7xDHDs3v3bpU//fTTwDmnnnqqymXLllXZXQujZs2akesoiGzdQyLJ3Ucud7PX9957T+XSpUsHXrNr1y6VDz/88ELXMWHCBJVbt26tcokSJSJfc/z48Sq7a0hliu+fRdlw3HHHqfz6668HzmnWrFnKayxcuFDlP/zhD4Fz1q9fX4DqsmKetfY09yBPeAAAgPdoeAAAgPdoeAAAgPcSX4cnDknN38TB3X8JmeHOHzz++OMqDxkyROWwPWEGDBgQ6T3dvbfC3mfSpEkqu/Md8+fPD1zjo48+UvnMM8+MVBfi4669FTaz4xo0aFCk96hatWrg2Ntvv61yw4YNVS7IzI7LXXcqbE2hdevWFfp9EL+OHTuqnG5eRyQ4P+jOgRXheZ184wkPAADwHg0PAADwHg0PAADwHg0PAADwXuJDy+7Cg2GS2KSzIIsZFmR4Oj//+1F4s2bNUnns2LEqt2vXTuW+fftGfo+JEyeqfPPNNwfOYQPG3FatWjWVb7zxxsjXePTRR1P++0MO0f8d2rVr18A5TZo0SXkNdwD1oosuCpyzfPlylb/55huV69Spo/Jll10WuEbUAWxkRoMGDVR2N/UM494j7g9l+DiQzhMeAADgPRoeAADgPRoeAADgvcRneFwFmWlxZ3rCZnwyMSvjvk9+Znji2OgU0bmbge7cuVPlwYMHqxy28ee2bdtSXtOd4ckUd5PSdBnx6dKli8rpNmZ96KGHAsd27Nihcvny5VV278WwjWzde9HdhPhPf/qTyv/+978D17jjjjuCBR/E3bg2bANKpBa2MexRRx1V6Ou6m9YOHTpU5TJlyqS9hjvDc9JJJ6k8atSoAlYXzZgxY1R+5513MvZePOEBAADeo+EBAADeo+EBAADeK3IzPAXhfn/t5kzJxnpAiMeaNWtUfv7551V2Z3bCZnhuvfVWlbMxs1OuXLnAsSOOOEJlt9ZMfgde3Lkbaqbz7rvvBo65sxPuOjthMzsud+6hW7duKc/v1atX4NjTTz+d8jX9+vVTmTWk0jv77LNV7t27d+Acd82vpLhzPvm579LZt2+fyu69HsadFcsknvAAAADv0fAAAADv0fAAAADveTHDky0FWXfHla35ImivvfaaypdeemnK8994443AsbfeeivWmsK436uPGDEicM4pp5yS8hqTJk2KtSb8fytWrIh0/j//+c/AsbZt26rcp0+fyHV88cUXKrtr6rh7Z11wwQVprzl9+nSV58+fH7mu4qZZs2YquzNb+VkPJ5e5e6ktWLBA5bDPryTxhAcAAHiPhgcAAHiPhgcAAHiPhgcAAHjPhC2w9qsnG5P/kz0U5ddKJHxAuVWrVjFVEy9rbVZ2nEzqHpoyZYrK5513nspr165VuV69eoFrbN++Pf7CHBMmTFDZHT4N424ceMstt8RaU35l6x4SSe4+chd9fOGFF1S++uqr015j3bp1Kh977LGFL6wA3A1I3Xvtww8/zGY5/yuXPovcjWBLlSpV2EsWSF5ensrufTls2LCMvO/WrVtVdhceTNA8a+1p7kGe8AAAAO/R8AAAAO/R8AAAAO+x8OCvePjhhyO/xp3ZKarzOsWRuwmnMXpMoEKFCiqfddZZgWvMmTNH5Z07d6pcsWLFlO8pEtygr2/fviq7C5WFbaz3+OOPq8xmodnjzix0795d5d/+9rcqn3TSSYFrJDGz4850iIg89dRTKi9fvjxb5XhjyZIlKpctW1blsD+/Q4YMUXnv3r0qf/DBB5Hr6NSpk8oLFy6MfI3igCc8AADAezQ8AADAezQ8AADAe8zw/IqCbAw6c+bMDFSCOLhrKLnZXV9l6tSpgWu4mytu2rRJ5UaNGqlcp06dyHWuXr1a5bBZIhQd7lo2v/vd71Q+/fTTA6+ZOHGiynGs3eLObDz66KMqh22GG3VdMQS1bt1a5cMPP1zlpUuXBl5Tvnx5ld0NOF3Lli0LHBs9erTK7iwRwvGEBwAAeI+GBwAAeI+GBwAAeI+9tA5w5zPOOeecyNdw13bJJbm0f01BdOjQQeVXXnlFZXf9m4LMN7i//2HXmDZtmsrvv/9+yjx//vzIdSSlOOylhczz/bOoffv2Kr/55pspz3/ooYcCxwYMGBBrTR5iLy0AAFA80fAAAADv0fAAAADv0fAAAADvFduFB93NQQsypPzII4/EUwwyzh0MdDfxdO+HJk2aBK7hLu61bt06lWfNmqXysGHDAtfYsGGDyrt27QovGICX7r77bpXdzUPdzw02B44PT3gAAID3aHgAAID3aHgAAID3iu3Cg3FsnNeqVSuVZ8yYUehrJsX3xb6QeSw8iDj4/lnk/j1RtWpVlevWrZvFarzFwoMAAKB4ouEBAADeo+EBAADeK7YzPO66K/3790/7Gp9mdly+f2+OzGOGB3HgswgxYIYHAAAUTzQ8AADAezQ8AADAe8V2hgca35ujsJjhQRz4LEIMmOEBAADFEw0PAADwHg0PAADwHg0PAADwHg0PAADwHg0PAADwHg0PAADwHg0PAADwXsmI528UkeWZKASJqpnF9+Ie8lM27yER7iNf8VmEOITeR5FWWgYAAMhFfKUFAAC8R8MDAAC8R8PjMMbcaYxZaIz50hjTK+l6kJuMMXcduIcWGmPGGGMOS7om5BZjTEVjzHhjzNfGmK+MMb9LuibkFmPMicaYBQf983Nx/nuNGZ6DGGMaiMhYETlDRHaJyLsi0sNam5doYcgpxpiqIvKhiNS31m43xrwuIpOstS8lWxlyiTHmZRGZba0dZow5VETKWGs3J10XcpMxpoSIrBaRM621xXJYmyc82ski8rG1dpu1do+IzBSRjgnXhNxUUkQON8aUFJEyIrIm4XqQQ4wxFUSkhYi8KCJird1Fs4NCOk9Evi2uzY4IDY9roYg0N8YcZYwpIyJtRKR6wjUhx1hrV4vIQBFZISJrReQna+17yVaFHPMbEfleREYYY/5rjBlmjDki6aKQ064UkTFJF5EkGp6DWGu/EpE/i8h7sv/rrAUisjfRopBzjDFHisglsv8vreNF5AhjzLXJVoUcU1JEfisig621TURkq4jcn2xJyFUHvhJtLyLjkq4lSTQ8Dmvti9baptbaFiLyo4gsSbom5JzzReQ7a+331trdIvKGiDRLuCbkllUisspa+/GBPF72N0BAQVwkIvOtteuTLiRJNDwOY8wxB/5vDdk/vzM62YqQg1aIyFnGmDLGGCP7vzv/KuGakEOstetEZKUx5sQDh84TkUUJloTcdpUU86+zRPgprQBjzGwROUpEdovI3dbaDxIuCTnIGPOIiFwhIntE5L8icrO1dmeyVSGXGGMai8gwETlURJaKSFdr7Y/JVoVcc2D2a4WI1LbW/pR0PUmi4QEAAN7jKy0AAOA9Gh4AAOA9Gh4AAOA9Gh4AAOA9Gh4AAOA9Gh4AAOA9Gh4AAOA9Gh4AAOA9Gh4AAOA9Gh4AAOA9Gh4AAOC9klFONsaw8ZanrLUmG+/DPeSvbN1DItxHPuOzCDHYaK2t7B7kCQ8AAPDJ8rCDNDwAAMB7NDwAAMB7NDwAAMB7NDwAAMB7NDwAAMB7NDwAAMB7NDwAAMB7NDwAAMB7NDwAAMB7NDwAAMB7NDwAAMB7NDwAAMB7NDwAAMB7NDwAAMB7JZMuAMhVf/vb31S+4447VH7kkUcCrxkxYoTKy5cvj78weK9v374qt2zZUuXzzz9f5bFjxwausWjRIpUnTJig8oIFCwpTIlDk8IQHAAB4j4YHAAB4j4YHAAB4z1hr83+yMfk/GTnFWmuy8T65fA9ddNFFKo8cOVLlihUrqhz2Z+vzzz9X+cEHH1R58uTJhSkxUdm6h0Ry+z5K57HHHlP53nvvDZxTsqQevzSm8L/0e/fuVXnMmDEqd+nSpdDvkR98FiEG86y1p7kHecIDAAC8R8MDAAC8R8MDAAC85+UMT/369QPHrrrqKpXd2QlX2Hfi6X6tFi9erPLAgQMD57z44ospr5EUvjfX3HkdkeAaOkcffbTK7j0T5c/W/3P77berPHjw4MjXSAozPAXjzuzcf//9Kh9ySPC/S9esWaPyuHHjUr5H27ZtA8fq1KmT8jXu/Tt69OjAOddff33KaxQEn0VFU7169QLH5syZo7L7GXjmmWeqnJeXF39h4ZjhAQAAxRMNDwAA8B4NDwAA8B4NDwAA8J4XQ8stWrRQ+e233w6cU758+UjX/PbbbwPHNm7cqHKjRo1UPuyww9Jed+jQoSr37NlT5T179uS3xFgV90FBd9ju66+/DpxzwgknRLpGQYaWv/jiC5UvuOCCwDnufVhUMLScP+6w8PTp01U+/vjj017jmWeeUfmPf/xjyvPLlSsXONajRw+V//SnP6W8xpYtWwLH3MU241DcP4vyw/39d39vHnroodjf86abbgocGzJkiMruZ+C5556r8syZM2Ov61cwtAwAAIonGh4AAOA9Gh4AAOC9nJjhqVKlisqvvfaayk2aNFG5bNmygWssW7ZMZXeWZvz48SqvX78+cA33e9KaNWuq3LlzZ5XDvhN3v+N0F6/btGlT4DXZUNy+N3d/H9x7qmPHjoW+ZkFmeNxrTJo0KXDOxRdfHPm62cAMT9CAAQMCx9zZGXcOZtWqVSq/9957gWs8/fTTKofNnKVTuXJllWfPnq1y3bp1VQ67n1esWKFy7dq1I9fhKm6fRemceOKJgWMLFixQ2d1M9sknn1S5IDM9RxxxhMpz584NnHPyyServGTJEpXdOdfdu3dHrqOAmOEBAADFEw0PAADwHg0PAADwXsn0pyTPnY1p3ry5yu7cw9q1awPXcDfPK8h33q7ly5erPHLkSJXTrWuBoqMgMzsud97m8ccfD5xTpkwZladOnZrymi1btgwcc9edmjVrVn5LRIa5cw7ufKFIcN5i4sSJKrvzFu68Rly+//57lTt16qTy559/rnLYhso1atRQ2V1XbNCgQYUpESLSpk2bwLFSpUqlfE2tWrUK/b4dOnRQ2Z3XCeNujp3FmZ184QkPAADwHg0PAADwHg0PAADwXk7M8EQVtl9HHDM76eTn++rVq1ervGvXrkyVgxTc9Y/yw/29ctdC6devX9pruGtbDB8+XGV3vxp35kdE5K677lKZGZ7kPPbYYyq7MzvuvI5IcJ0dd+7FXdsmWxYvXqzy2LFjVb7yyisDr3HneipUqBB/YcXcJZdckvac7du3q/zXv/41K+/rcj8Tixqe8AAAAO/R8AAAAO/R8AAAAO/R8AAAAO/lxNCyOxjn5o0bN6rcvXv3jNckItKnTx+V3YWa8vOaX375JdaakD8PPvhg5Ne4C03mZ0jZtXXrVpW7deumsju0HMZdeJOFCLPn2muvVfm+++5TuUSJEiq7A8oiwR9uSGpI2bVnzx6Vf/rpp4QqKd4qVaqksvvnWyS4kevkyZNVjmOxSvd9wxaezDU84QEAAN6j4QEAAN6j4QEAAN7LiRmel156SeV9+/ap7H4HvmXLlozU0bRpU5Xvvfdeld3vVd99993ANcaNGxd/YYgs3VyYO68jkr8ZrcJyFxV85plnAucceeSRKjds2FBlZnjiUbt27cAxd2NPd2bH5W6mKCLyl7/8pXCFFWE9evRQecCAAQlVkrvc+UL375WwY2+//Xah3/fmm29WuXz58mnrKOoLDbp4wgMAALxHwwMAALxHwwMAALyXEzM8P//8s8r52aSzsNxNHkVE3njjDZXdjfI2bNig8p133hm4xs6dO2OoDoXlfh/t5i+//DLwmmxsQJuurjB9+/ZVORt/PoqDsBm8E044IeVr1qxZo/I//vGPWGsq6o4//vikS8g5Z599tsruZrJhnnjiCZXHjBlT6DquvvpqlUuVKqXy7t27A68Jm1ErynjCAwAAvEfDAwAAvEfDAwAAvJcTMzxJCPsetVq1airv3btX5euvv17lvLy8+AsDHEcffXTSJXihevXqKtesWTPyNa644gqV161bV6iassm9jy6++OLI1xg+fHhc5RQb7qxMurWdRIJ/15x44omFrqN+/fop//2iRYsCx1avXl3o980mnvAAAADv0fAAAADv0fAAAADv0fAAAADvMbT8K5588snAMXcROHcjwalTp2a0JgCZc8MNN6hcsmT0j8fvvvsupmoyr3Tp0irff//9KhdkEcFly5YVpqRiadWqVSrPnj1b5RYtWgRe4/4AjZvzw90wOd0ip40aNQoca9u2rcqvv/565DqyiSc8AADAezQ8AADAezQ8AADAe8zwHNC7d2+V3e83RUQ2b96s8iuvvJLRmpA57u+vm9u0aRN4zYUXXqhy2OaSma4LmXPMMcdEfs2kSZNU/vHHH+MqJ+OaNGmi8l133RX5Gu78ybhx4wpVU3HkLlDbqlUrlcNmeE455ZSU12zdurXKYZveNmjQQOV9+/ap7C6s26dPn8A1ivrMjosnPAAAwHs0PAAAwHs0PAAAwHvFdobHXWPD3SgvbE2Cr7/+WuU1a9bEXxiywv39TbcGhYjIE088ofJXX32l8vLlyxOpC/G47bbbVM7Pr/2KFStU3rFjR6w1xSVsDZUxY8ZEusbKlSsDx9xZkSVLlkQrDGnNmjUrX8cONnjwYJXr1KkTOGfx4sUqu/e7uxHs008/nfI9cwFPeAAAgPdoeAAAgPdoeAAAgPeK7QxPhQoVVG7WrFna14wePTpT5SDLXnjhBZV79uyZ9jUNGzZUuWvXrio///zzKn///feBaxx66KEq16hRQ+Vu3bqlrcMV9j7IjnLlyqnszgbu2bMnK3W4+2K5a+yEzeu4957Lndlx16ESCc6BoGh64IEHIr9m6dKlGagkWTzhAQAA3qPhAQAA3qPhAQAA3qPhAQAA3jNRFjYzxnizCpo7pDx79myVwzZtPProo1XetGlT/IUlxFqblV0qi8o95P7+7t69u9DX/OKLL1SeOXNm4JyKFSuqfO2116asKz9/Pnv16qXyoEGD0r4mE7J1D4lk5j564403VL7kkksiX6Np06YqL1y4MHBO1EHmypUrB451795d5dNOO01ldyHV/HA3R3bvq1dffTXyNQuiuH0WZYK7ueiHH34YOKd8+fIqb9iwQeWTTz5ZZff+KOLmWWtPcw/yhAcAAHiPhgcAAHiPhgcAAHiv2C482KlTp6RLQILc2ZjzzjtP5TfffDPwGnexSlfjxo1VdhcqzI9DDtH/DbJv377AOe536Z9//nnk90HQRx99pHJBZnjmzZuncthipVu2bIl0zUsvvTRwrEqVKtEKC5FuYUF3s2TkjlatWqnsLpAZxl04NcdmdvKFJzwAAMB7NDwAAMB7NDwAAMB7xXYdnrlz56p8xhlnqPzuu+8GXtOmTZuM1pQk1r7QrrvuusCxESNGpHxNQdbQKcg1unTpovKoUaMiv08m5Po6PK6ffvopcKxs2bKZfttYbNu2TeWwe+TZZ59VuajM7PBZFJ07o+POkp1wwgmB1+zatUvl5s2bq/zpp5/GVF0iWIcHAAAUTzQ8AADAezQ8AADAe8V2HR53NsLNYWuulCypf7mi7omD3BE2w3XDDTeo7M5AHHnkkbHXMXny5MCxKVOmxP4+CLrgggsCx+677z6Vw9bIiVvYHFdeXp7KL774osruOlLu+fDLlVdeqXLt2rVVDruH3M+RHJ/ZyRee8AAAAO/R8AAAAO/R8AAAAO/R8AAAAO8Vm4UHa9WqpfKsWbNUrlq1qsruAnAiIn/+859Vdoe+ZsyYUfACE8ZiX9G1aNFC5Z49e6rcsWPHwGsGDx6s8uLFi1V2N7UNG4oNWxCvKPBt4cH8uOeee1Tu16+fyvnZtHHQoEEqb9iwQeXly5cHXjNy5Mj8lphz+CyKrn///iq792EY997cvn17rDUljIUHAQBA8UTDAwAAvEfDAwAAvFdsZnjcjR+vv/76lOeHzfC4v1bXXHONymPHji1gdcnje3MUVnGc4UH8+CyK7qOPPlL5zDPPVHnNmjWB19SoUSOjNSWMGR4AAFA80fAAAADv0fAAAADvFZvNQwcMGKDytm3bVO7Ro0faa7zwwgsqT5gwofCFAQBQCOnW0HH//iuueMIDAAC8R8MDAAC8R8MDAAC8V2zW4UFqrH2BwmIdHsSBzyLEgHV4AABA8UTDAwAAvEfDAwAAvEfDAwAAvEfDAwAAvEfDAwAAvEfDAwAAvEfDAwAAvBd189CNIrI8E4UgUTWz+F7cQ37K5j0kwn3kKz6LEIfQ+yjSSssAAAC5iK+0AACA92h4AACA92h4DmKMOdEYs+Cgf342xvRKui7kHmPMhcaYxcaYPGPM/UnXg9zDPYS4GGNKGGP+a4x5J+laksQMz68wxpQQkdUicqa1lsE25NuBe2eJiFwgIqtE5BMRucpauyjRwpAzuIcQJ2PM3SJymoiUt9a2S7qepPCE59edJyLf0uygAM4QkTxr7VJr7S4RGSsilyRcE3IL9xBiYYypJiJtRWRY0rUkjYbn110pImOSLgI5qaqIrDworzpwDMgv7iHE5VkR6S0i+5IuJGk0PCGMMYeKSHsRGZd0LQAAFIQxpp2IbLDWzku6lqKAhifcRSIy31q7PulCkJNWi0j1g3K1A8eA/OIeQhzOFpH2xphlsv9r0XONMSOTLSk5DC2HMMaMFZEp1toRSdeC3GOMKSn7B07Pk/1/SX0iIldba79MtDDkDO4hxM0Yc46I/LE4Dy1H3VrCe8aYI2T/T0Z0T7oW5CZr7R5jTE8RmSIiJURkOH9RIQruISB+POEBAADeY4YHAAB4j4YHAAB4j4YHAAB4j4YHAAB4j4YHAAB4j4YHAAB4j4YHAAB4j4YHAAB47/8CdjI6VfMMQDUAAAAASUVORK5CYII=\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset\n", - "(x axis: digits, y axis: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "fW_13wCcUrT4" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "print(np.unique(Y_train))\n", - "print(np.unique(Y_test))" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "XsxugWa6pkoD", - "outputId": "1b648d8a-b64b-4eb3-ed38-0847c65ff8c3" - }, - "execution_count": 8, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[0 1 2 3 4 5 6 7 8 9]\n", - "[0 1 2 3 4 5 6 7 8 9]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "unique, counts = np.unique(Y_train, return_counts=True)\n", - "\n", - "print( np.array((unique, counts)).T)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "CtjIXrrjp2w6", - "outputId": "1f6169dd-5565-47c1-c8a4-67b4d9be3588" - }, - "execution_count": 33, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[[ 0 759]\n", - " [ 1 918]\n", - " [ 2 829]\n", - " [ 3 789]\n", - " [ 4 783]\n", - " [ 5 732]\n", - " [ 6 778]\n", - " [ 7 820]\n", - " [ 8 790]\n", - " [ 9 802]]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "def addlabels(x,y):\n", - " for i in range(len(x)):\n", - " plt.text(i,y[i],y[i], ha='center')\n", - "plt.bar(unique,counts, color='blue')\n", - "plt.title(\"Training dataset\")\n", - "plt.xlabel(\"Number\")\n", - "plt.ylabel(\"Frequency\")\n", - "addlabels(unique, counts)\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 295 - }, - "id": "C2VbVK5rqLIH", - "outputId": "f2f24e1b-12e5-4971-e7ee-9f6826eec5ab" - }, - "execution_count": 36, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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fMGCAu7vv3bvXb775Zu/Ro4ffcMMNnpub60uXLi1/hyUMGzbMH3/8cXd3X7Vqlbds2dJbtGjhmZmZvmHDhrDdjBkzvGPHjt6oUaMTHkqoTOKHUYodOXLEW7Ro4f/85z/d3f3555/3K664wg8dOuSffvqpt2/f3nfu3JlwH5Xt9TZz5ky/5JJLSl23Zs0a7927t7uf/PDR0XWWti/lQ4feDmc5DAqWucMAh6b+5T6WKyvk/+yr9UWwT4HYYSnzgTOBWsBM4IaTDYX4m/YpVI9QKPmPGj/Oe+TIEa9Xr95R9zly5Ii3atXK9+7dW/4O4yQaSPHefPPNUpdXNfFhWOzNN9/0+P+rwsJCHzx4sDdp0sTr1Knj48aNK1cfle31NnjwYJ80aVI4v337dnd3P3z4sN94440+ceJEd3dfuXLlV3Y0t2nTplw7mivb8z66vmhC4TvAxLj5m4AngE+BjGDZucDcYHoucG4wnRG0s2P1UZGhUNaOx1GjRnlmZma4/JVXXnH32JvJzTff7Dk5Od69e3dfsGBBwn0pFL6q5D9qp06dwt/nvHnzvFevXu7uvnv3bj948KC7u48fP95vvPHG8ndWwokEkrt7mzZtPD8//6T7j0rJMCz2wx/+0H/729+G82+//bZff/31XlhY6Nu3b/cOHTr4hx9+mHA/len19vnnn3vjxo19z5494bKxY8d6+/btvX379j5y5Mjwb+/u/stf/tLbtm3rHTp0CA98qIrPu/T6ogmFvsSOPKoDGLH9BXcC04DvBW2eBG4Ppu8Angymvwe8dLw+krWlEH8kzKhRo/w3v/nNUW1+97vf+c033+zusU8bvXr18sOHDyf0+OkaCqW3/9yhscOeuGVvOfRy6O7QxyEvWP6OQ3uHDg7XOOw66X+URANp7dq14RvGkiVLPDMz8ytvIFVNacMohw4d8qZNm/rmzZvDZbfffrtPnjw5nB82bJhPnTo14X4q3+ut+ved2N+l7FDIOKEdEQlw90VmNh14l9g3oZYC44FXgBfN7JfBsonBXSYCU8xsHbArCIZIxO94LEv8kTBNmzalYcOG5OXl0adPn1SVWU3UBXaWWPavwJJS2hZ/ce7EHL1vuAB4jalTx/H97xcve4r+/e8m9pI9FRgf3O9lYDKxkdDTgKnUqPHVB3Q/4dJS7oUXXgh37BebN28enTp1okWLFuGy7Oxs5s+fz4033khBQQELFy7knnvuSXW5kkplpUVVuCVrSyF+rHXUqFHeqlUr79atmw8bNsx37drl7u7jxo3zQYMG+aFDh3z9+vXeoEGDcCz6eNL1E0zUn54q8ye3ZDq61tK2ztxhqMMTJZZ95rGdoF0cOjv8d6X6nVfW11vUr/Xj4RhbChZbXzXl5uZ6Xl5ehT5mYWEhmZmZvP/++zRr1ozt27fTpEkTzIz/+I//YNu2bUyaNImioiLuvfdeFixYQKtWrTh06BDDhw/n6quvPm4fqTiasaw/a7r2nYr+K+u/UpTPO11fb1G/1o/HzJa4e25p65I2fFRVzZkzh169etGsWTOA8CfAbbfdxhVXXAFARkYGY8aMCdedd955dOjQIbXFiohUMJ0Qr4SSY63xF/X405/+RE5ODgD79++noKAAgNdee42MjAy6dOmS2mJFRCqYthTiFBQU8NprrzFu3Lhw2X333ceyZcswM1q3bh2u27FjB9/4xjeoUaMGWVlZTJkyJaqypYpZs2YNgwcPDufXr1/PQw89xM6dO5k1axY1atSgadOm/PGPfyQzM5PnnnuOX//617g79erV44knnqBHjx4RPgOpztJ2n0K6jjema9+p6P9E/pUOHz5MVlYWixYtolGjRuEFix577DFWrVrFk08+yTvvvEPnzp1p1KgRc+bM4YEHHmDRokUJ96F9CunVdyK0T0Gkkirr8Of48yudd9554fJIzq8vaUWhIBKh+BMBAvzsZz9j8uTJNGjQgAULFhzVfuLEiVx++eWpLFHSjIaPkqgyblqma9+p6L+8/0olD3+ON3r0aA4cOMCDDz4YLluwYAG33347b7/9NmeccUbC/Wj4KL36TsSxho909JFIREoe/hxvyJAhvPzyy+H88uXLufXWW5k1a1a5AkGkvBQKIhEpefjz2rVrw+lZs2bRqVMnADZt2sS1117LlClT9F0YSToNHyVRZdy0TNe+U9F/+fouALKB9UCDYNm3gTXEPqu1Ina+yCzgVmLnXireGZ1B7JIiJ9p3xdLwUeXqOxE6+kik0intRIAvl9YQmBDcRJJPw0ciIhJSKIiISEihICIiIYWCiIiEFAoiIhJSKIiISEihICIiIYWCiIiEFAoiIhJSKIiISEihICIiIYWCiIiEFAoiIhJSKIiISEihICIiIYWCiIiEFAoiIhJSKIiISEihICIiIYWCiIiEFAoiIhJSKIiISEihICIiIYWCiIiEkhoKZtbQzKab2QdmttrMzjWzxmb2mpmtDX42CtqamT1mZuvMbLmZ9UpmbSIicrRkbyk8CvzF3TsBPYDVwP3A6+7eHng9mAe4HGgf3IYDTyS5NhERKSFpoWBmDYALgYkA7l7o7nuAgcAzQbNngKuD6YHAZI9ZCDQ0s+bJqk9ERI6WzC2FNkA+8LSZLTWzCWZWF2jm7tuCNp8AzYLpLGBz3P23BMu+wsyGm1memeXl5+cnsXwRkfSTzFDIAHoBT7j72UABXw4VAeDuDnh5HtTdx7t7rrvnnnnmmRVWrIiIJDcUtgBb3H1RMD+dWEhsLx4WCn7uCNZvBVrG3b9FsExERFIkaaHg7p8Am82sY7BoALAKmA0MDZYNBWYF07OBm4KjkPoBe+OGmUREJAUyEmlkZt3cfcUJPP6dwHNmdgqwHhhGLIheMrNbgI3Ad4O2rwLfBNYB+4O2IiKSQgmFAvAHM6sN/BF4zt33JnInd18G5JayakApbR24I8F6REQkCRIaPnL3C4AhxMb8l5jZ82Z2SVIrExGRlEt4n4K7rwV+DowELgIeC76pfG2yihMRkdRKKBTMrLuZjSH2jeSLgSvdvXMwPSaJ9YmISAoluk/hcWAC8FN3/6J4obt/bGY/T0plIiKScomGwreAL9z9MICZ1QBOdff97j4ladWJiEhKJbpPYR5wWtx8nWCZiIhUI4mGwqnu/nnxTDBdJzkliYhIVBINhYL46xuY2TnAF8doLyIiVVCi+xTuAaaZ2ceAAf8CDE5aVSIiEomEQsHd/2FmnYDi8xitcfdDyStLRESikOiWAkBvoHVwn15mhrtPTkpVIiISiURPiDcFOAtYBhwOFjugUBARqUYS3VLIBboEJ60TEZFqKtGjj1YS27ksIiLVWKJbCk2AVWa2GDhYvNDdr0pKVSIiEolEQ+GBZBYhIiKVQ6KHpL5pZq2A9u4+z8zqADWTW5qIiKRaoqfOvg2YDowLFmUBM5NVlIiIRCPRHc13AOcD+yC84E7TZBUlIiLRSDQUDrp7YfGMmWUQ+56CiIhUI4mGwptm9lPgtODazNOA/5+8skREJAqJhsL9QD6wAvgB8Cqx6zWLiEg1kujRR0eAp4KbiIhUU4me++gjStmH4O5tK7wiERGJTHnOfVTsVOA7QOOKL0dERKKU0D4Fd98Zd9vq7mOBbyW5NhERSbFEh496xc3WILblUJ5rMYiISBWQ6Bv7/8RNFwEbgO9WeDUiIhKpRI8+6p/sQkREJHqJDh/9v2Otd/dHKqYcERGJUnmOPuoNzA7mrwQWA2uTUZSIiEQj0VBoAfRy988AzOwB4BV3vyFZhYmISOolepqLZkBh3HxhsExERKqRRLcUJgOLzexPwfzVwDPJKUlERKKS6NFHvzKzOcAFwaJh7r40eWWJiEgUEh0+AqgD7HP3R4EtZtYmSTWJiEhEEr0c5yhgJPCTYFEt4NkE71vTzJaa2Z+D+TZmtsjM1pnZVDM7JVheO5hfF6xvXd4nIyIiJyfRLYVrgKuAAgB3/xiol+B97wZWx83/Ghjj7u2A3cAtwfJbgN3B8jFBOxERSaFEQ6HQ3Z3g9NlmVjeRO5lZC2InzpsQzBtwMTA9aPIMsZ3WAAP5cuf1dGBA0F5ERFIk0VB4yczGAQ3N7DZgHoldcGcscB9wJJg/A9jj7kXB/BYgK5jOAjYDBOv3Bu1FRCRFjnv0UfBpfSrQCdgHdAR+4e6vHed+VwA73H2JmX2tAmotftzhwHCA7OzsinpYEREhgVBwdzezV929G3DMICjhfOAqM/smsQvz1AceJba1kRFsDbQAtgbttwItiR3ZlAE0AHaWUs94YDxAbm7uUVeDExGRE5fo8NG7Zta7PA/s7j9x9xbu3hr4HjDf3YcAC4BBQbOhwKxgenYwT7B+frAfQ0REUiTRbzT3BW4wsw3EjkAyYhsR3U+gz5HAi2b2S2ApMDFYPhGYYmbrgF3EgkRERFLomKFgZtnuvgn4xsl04u5vAG8E0+uBPqW0OUDs2s8iIhKR420pzCR2dtSNZvayu387FUWJiEg0jrdPIf57Am2TWYiIiETveKHgZUyLiEg1dLzhox5mto/YFsNpwTR8uaO5flKrExGRlDpmKLh7zVQVIiIi0SvPqbNFRKSaUyiIiEhIoSAiIiGFgoiIhBQKIiISUiiIiEhIoSAiIiGFgoiIhBQKIiISUiiIiEhIoSAiIiGFgoiIhBQKIiISUiiIiEhIoSAiIiGFgoiIhBQKIiISUiiIiEhIoSAiIiGFgoiIhBQKIiISUiiIiEhIoSAiIiGFgoiIhBQKIiISUiiIiEhIoSAiIiGFgoiIhBQKIiISUiiIiEhIoSAiIiGFgoiIhJIWCmbW0swWmNkqM3vfzO4Oljc2s9fMbG3ws1Gw3MzsMTNbZ2bLzaxXsmoTEZHSJXNLoQj4d3fvAvQD7jCzLsD9wOvu3h54PZgHuBxoH9yGA08ksTYRESlF0kLB3be5+7vB9GfAaiALGAg8EzR7Brg6mB4ITPaYhUBDM2uerPpERORoKdmnYGatgbOBRUAzd98WrPoEaBZMZwGb4+62JVhW8rGGm1memeXl5+cnrWYRkXSU9FAws9OBl4F73H1f/Dp3d8DL83juPt7dc90998wzz6zASkVEJKmhYGa1iAXCc+4+I1i8vXhYKPi5I1i+FWgZd/cWwTIREUmRZB59ZMBEYLW7PxK3ajYwNJgeCsyKW35TcBRSP2Bv3DCTiIikQEYSH/t84EZghZktC5b9FPgv4CUzuwXYCHw3WPcq8E1gHbAfGJbE2kREpBRJCwV3fxuwMlYPKKW9A3ckqx4RETk+faNZRERCCgUREQkpFEREJKRQEBGRkEJBRERCCgUREQkpFEREJKRQEBGRkEJBRERCCgUREQkpFEREJKRQEBGRkEJBRERCCgUREQkpFEREJKRQEBGRkEJBRERCCgUREQkpFEREJKRQEBGRkEJBRERCCgUREQkpFEREJKRQEBGRkEJBRERCCgUREQkpFEREJKRQEBGRkEJBRERCCgUREQkpFEREJKRQEBGRkEJBRERCCgUREQkpFEREJKRQEBGRUKUKBTO7zMzWmNk6M7s/6npERNJNpQkFM6sJ/B64HOgCXGdmXaKtSkQkvVSaUAD6AOvcfb27FwIvAgMjrklEJK1kRF1AnCxgc9z8FqBvyUZmNhwYHsx+bmZrUlBbsSbAp4k2NktiJantW8879X2XS7o+7wruv1zPu4L7LreT7LtVWSsqUygkxN3HA+Oj6NvM8tw9N4q+o6TnnV70vNNbZRo+2gq0jJtvESwTEZEUqUyh8A+gvZm1MbNTgO8BsyOuSUQkrVSa4SN3LzKzfwPmAjWBSe7+fsRllRTJsFUloOedXvS805i5e9Q1iIhIJVGZho9ERCRiCgUREQkpFBKQjqffMLOWZrbAzFaZ2ftmdnfUNaWSmdU0s6Vm9ueoa0klM2toZtPN7AMzW21m50ZdUyqY2Y+D1/lKM3vBzE6NuqaoKBSOI41Pv1EE/Lu7dwH6AXekyfMudjewOuoiIvAo8Bd37wT0IA1+B2aWBdwF5Lp7DrEDXb4XbVXRUSgcX1qefsPdt7n7u8H0Z8TeHLKirSo1zKwF8C1gQtS1pJKZNQAuBCYCuHuhu++JtqqUyQBOM7MMoA7wcYEYgLcAAAMwSURBVMT1REahcHylnX4jLd4ci5lZa+BsYFG0laTMWOA+4EjUhaRYGyAfeDoYOptgZnWjLirZ3H0r8FtgE7AN2Ovu/xttVdFRKMgxmdnpwMvAPe6+L+p6ks3MrgB2uPuSqGuJQAbQC3jC3c8GCoBqvw/NzBoR2/pvA2QCdc3shmirio5C4fjS9vQbZlaLWCA85+4zoq4nRc4HrjKzDcSGCi82s2ejLSlltgBb3L14i3A6sZCo7r4OfOTu+e5+CJgBnBdxTZFRKBxfWp5+w8yM2Njyand/JOp6UsXdf+LuLdy9NbG/9Xx3T4tPje7+CbDZzDoGiwYAqyIsKVU2Af3MrE7wuh9AGuxgL0ulOc1FZVVFTr+RDOcDNwIrzGxZsOyn7v5qhDVJ8t0JPBd8AFoPDIu4nqRz90VmNh14l9hRd0tJ41Ne6DQXIiIS0vCRiIiEFAoiIhJSKIiISEihICIiIYWCiIiEFAoiATNzM/ufuPkRZvZABT32H81sUEU8lkgyKRREvnQQuNbMmkRdSLzgJG0iKaFQEPlSEbEvLf245IqSn/TN7PPg59fM7E0zm2Vm683sv8xsiJktNrMVZnZW3MN83czyzOyfwTmWiq/b8Bsz+4eZLTezH8Q97ltmNpv0+FaxVBL6BCLyVb8HlpvZf5fjPj2AzsAuYt8CnuDufYILE90J3BO0a03sVOxnAQvMrB1wE7GzcvY2s9rA38ys+AydvYAcd//oZJ+USKIUCiJx3H2fmU0mdtGVLxK82z/cfRuAmX0IFL+prwD6x7V7yd2PAGvNbD3QCbgU6B63FdIAaA8UAosVCJJqCgWRo40ldh6cp+OWFREMt5pZDeCUuHUH46aPxM0f4av/YyXPKeOAAXe6+9z4FWb2NWKnrhZJKe1TECnB3XcBLwG3xC3eAJwTTF8F1DqBh/6OmdUI9jO0BdYQO9Hij4LTlGNmHdLhwjZSeSkUREr3P0D8UUhPAReZ2XvAuZzYp/hNwGJgDvBDdz9A7JKfq4B3zWwlMA5twUuEdJZUEREJaUtBRERCCgUREQkpFEREJKRQEBGRkEJBRERCCgUREQkpFEREJPR/5G03DuOYumAAAAAASUVORK5CYII=\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "unique, counts = np.unique(Y_test, return_counts=True)\n", - "plt.bar(unique,counts, color='green')\n", - "plt.title(\"Testing dataset\")\n", - "plt.xlabel(\"Number\")\n", - "plt.ylabel(\"Frequency\")\n", - "addlabels(unique, counts)\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 295 - }, - "id": "UsLgYjg2qN53", - "outputId": "ca544ee9-00ec-4404-d3a5-73f39687406d" - }, - "execution_count": 37, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "Ayjiwhn-UvWl" - } - }, - { - "cell_type": "code", - "source": [ - "from tensorflow.keras import datasets, layers, models" - ], - "metadata": { - "id": "CjVkGMMyqSow" - }, - "execution_count": 12, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n", - "model = models.Sequential()\n", - "model.add(layers.Conv2D(32,(5,5),activation='relu',input_shape=(28,28,1)))\n", - "model.add(layers.MaxPooling2D((2,2)))\n", - "model.add(layers.Conv2D(64,(5,5),activation='relu'))\n", - "model.add(layers.MaxPooling2D((2,2)))" - ], - "metadata": { - "id": "T6NsgL_qqTjU" - }, - "execution_count": 53, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "c05uzJH-qaxD", - "outputId": "db22ed1a-430c-47ad-fb5d-529cca3d2a9e" - }, - "execution_count": 54, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_3\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d_6 (Conv2D) (None, 24, 24, 32) 832 \n", - " \n", - " max_pooling2d_6 (MaxPooling (None, 12, 12, 32) 0 \n", - " 2D) \n", - " \n", - " conv2d_7 (Conv2D) (None, 8, 8, 64) 51264 \n", - " \n", - " max_pooling2d_7 (MaxPooling (None, 4, 4, 64) 0 \n", - " 2D) \n", - " \n", - "=================================================================\n", - "Total params: 52,096\n", - "Trainable params: 52,096\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "model.add(layers.Flatten())\n", - "model.add(layers.Dense(64,activation='relu'))\n", - "model.add(layers.Dense(10,activation='softmax'))" - ], - "metadata": { - "id": "-9urev-bqeX2" - }, - "execution_count": 55, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "cvnO5JbhqgOl", - "outputId": "d535b312-b04e-4acc-e4fe-2c642d284146" - }, - "execution_count": 56, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_3\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d_6 (Conv2D) (None, 24, 24, 32) 832 \n", - " \n", - " max_pooling2d_6 (MaxPooling (None, 12, 12, 32) 0 \n", - " 2D) \n", - " \n", - " conv2d_7 (Conv2D) (None, 8, 8, 64) 51264 \n", - " \n", - " max_pooling2d_7 (MaxPooling (None, 4, 4, 64) 0 \n", - " 2D) \n", - " \n", - " flatten_4 (Flatten) (None, 1024) 0 \n", - " \n", - " dense_8 (Dense) (None, 64) 65600 \n", - " \n", - " dense_9 (Dense) (None, 10) 650 \n", - " \n", - "=================================================================\n", - "Total params: 118,346\n", - "Trainable params: 118,346\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.compile(optimizer='adam',\n", - " loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n", - " metrics=['accuracy'])" - ], - "metadata": { - "id": "LrPnCFkGqiNb" - }, - "execution_count": 57, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "history=model.fit(X_train,Y_train,epochs=15,\n", - " validation_split=0.2)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "RxPMXBcoqkBa", - "outputId": "ce2cd04f-2f47-40dd-eed4-6abe60c3a2ab" - }, - "execution_count": 58, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/15\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "200/200 [==============================] - 9s 41ms/step - loss: 1.8774 - accuracy: 0.7945 - val_loss: 0.2889 - val_accuracy: 0.9075\n", - "Epoch 2/15\n", - "200/200 [==============================] - 8s 40ms/step - loss: 0.1509 - accuracy: 0.9547 - val_loss: 0.1347 - val_accuracy: 0.9544\n", - "Epoch 3/15\n", - "200/200 [==============================] - 8s 40ms/step - loss: 0.0639 - accuracy: 0.9812 - val_loss: 0.1265 - val_accuracy: 0.9681\n", - "Epoch 4/15\n", - "200/200 [==============================] - 8s 39ms/step - loss: 0.0367 - accuracy: 0.9880 - val_loss: 0.1019 - val_accuracy: 0.9762\n", - "Epoch 5/15\n", - "200/200 [==============================] - 8s 40ms/step - loss: 0.0335 - accuracy: 0.9886 - val_loss: 0.1277 - val_accuracy: 0.9663\n", - "Epoch 6/15\n", - "200/200 [==============================] - 8s 40ms/step - loss: 0.0288 - accuracy: 0.9905 - val_loss: 0.1029 - val_accuracy: 0.9737\n", - "Epoch 7/15\n", - "200/200 [==============================] - 8s 40ms/step - loss: 0.0288 - accuracy: 0.9903 - val_loss: 0.1491 - val_accuracy: 0.9656\n", - "Epoch 8/15\n", - "200/200 [==============================] - 8s 40ms/step - loss: 0.0253 - accuracy: 0.9908 - val_loss: 0.1016 - val_accuracy: 0.9787\n", - "Epoch 9/15\n", - "200/200 [==============================] - 8s 41ms/step - loss: 0.0269 - accuracy: 0.9919 - val_loss: 0.1731 - val_accuracy: 0.9663\n", - "Epoch 10/15\n", - "200/200 [==============================] - 9s 45ms/step - loss: 0.0213 - accuracy: 0.9933 - val_loss: 0.1004 - val_accuracy: 0.9756\n", - "Epoch 11/15\n", - "200/200 [==============================] - 8s 38ms/step - loss: 0.0040 - accuracy: 0.9980 - val_loss: 0.0784 - val_accuracy: 0.9844\n", - "Epoch 12/15\n", - "200/200 [==============================] - 8s 41ms/step - loss: 0.0150 - accuracy: 0.9967 - val_loss: 0.1656 - val_accuracy: 0.9675\n", - "Epoch 13/15\n", - "200/200 [==============================] - 8s 38ms/step - loss: 0.0595 - accuracy: 0.9819 - val_loss: 0.1096 - val_accuracy: 0.9769\n", - "Epoch 14/15\n", - "200/200 [==============================] - 8s 38ms/step - loss: 0.0377 - accuracy: 0.9889 - val_loss: 0.0716 - val_accuracy: 0.9794\n", - "Epoch 15/15\n", - "200/200 [==============================] - 8s 40ms/step - loss: 0.0236 - accuracy: 0.9920 - val_loss: 0.0836 - val_accuracy: 0.9781\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['accuracy'], label='accuracy')\n", - "plt.plot(history.history['val_accuracy'], label = 'val_accuracy')\n", - "\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Accuracy')\n", - "plt.legend(loc='lower right')" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 296 - }, - "id": "XSd98FdFq12H", - "outputId": "5c8a8fbf-e28e-4a2e-b216-aa679fe2c359" - }, - "execution_count": 80, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 80 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "loss, accuracy = model.evaluate(X_test,Y_test, verbose=2)\n", - "print(\"Accuracy of the model: \" ,accuracy*100 ,\"%\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "PU1tBhtjq6A1", - "outputId": "5c564454-e8c7-4fbb-9497-2d5045398fdb" - }, - "execution_count": 83, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "63/63 - 1s - loss: 0.0801 - accuracy: 0.9795 - 784ms/epoch - 12ms/step\n", - "Accuracy of the model: 97.94999957084656 %\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "prediction=model.predict(X_test[:36])" - ], - "metadata": { - "id": "KutEZiR0q7Xl" - }, - "execution_count": 62, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "GBkn1Wi2UzO1" - } - }, - { - "cell_type": "code", - "source": [ - "answer_arr=[]\n", - "for i in range(36):\n", - " n=np.where(prediction[i]==max(prediction[i]))\n", - " answer_arr.append(n)" - ], - "metadata": { - "id": "vH92vlFSq9Hz" - }, - "execution_count": 66, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Your code\n", - "plt.figure(figsize=(15,15))\n", - "for i in range(36):\n", - " plt.subplot(6,6,i+1)\n", - " plt.xticks([])\n", - " plt.yticks([])\n", - " plt.grid(False)\n", - " plt.imshow(X_test[i])\n", - " plt.xlabel(\"Predicted:\" f\"{answer_arr[i][0]}\" \" \" \"Actual:\" f\"{Y_test[i]}\")\n", - " #plt.xlabel()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 860 - }, - "id": "2FMYFHgHq_Fj", - "outputId": "07fe7a7f-98df-4e89-bedf-be782175dc7a" - }, - "execution_count": 76, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_201043.ipynb b/Assignment 3/A3_201043.ipynb deleted file mode 100644 index d455085..0000000 --- a/Assignment 3/A3_201043.ipynb +++ /dev/null @@ -1,507 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "TF-Assignment-3.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "import numpy as np\n", - "from tensorflow import keras\n", - "from keras import layers" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "execution_count": 12, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 13, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing \n", - "X_train=X_train/255.0\n", - "X_test=X_test/255.0\n", - "digits=np.unique(Y_train)\n", - "\n" - ], - "metadata": { - "id": "rbt0WbW6sDVs" - }, - "execution_count": 14, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.figure(figsize=(15,10))\n", - "for i in range(15):\n", - " plt.subplot(3,5,i+1)\n", - " r=np.random.randint(0,len(X_train))\n", - " plt.imshow(X_train[r],cmap='copper')\n", - " plt.xlabel(Y_train[r])\n", - "# Your code\n", - "plt.show()" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 591 - }, - "outputId": "74901a45-0ccc-433b-b104-6d57db94d0dc" - }, - "execution_count": 15, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "plt.figure(figsize=(5,5))\n", - "plt.bar(digits,np.unique(Y_train, return_counts=True)[1],color='black')\n", - "# Your code\n", - "plt.show()" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 320 - }, - "outputId": "427a0961-dadc-4dde-d301-e5cdfc7b0c57" - }, - "execution_count": 21, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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}, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "plt.figure(figsize=(5,5))\n", - "plt.bar(digits,np.unique(Y_test, return_counts=True)[1],color='black')\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 320 - }, - "id": "TJGKTxKT1DhR", - "outputId": "b2949066-b06a-4688-f8ff-39ffd57bb6bb" - }, - "execution_count": 22, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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}, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "model= keras.Sequential([\n", - " layers.Conv2D(32,(3,3),padding=\"same\", activation=\"relu\", input_shape=(28,28,1)),\n", - " layers.Conv2D(128,(3,3),padding=\"same\", activation=\"relu\"),\n", - " layers.Conv2D(32,(3,3),padding=\"same\", activation=\"relu\"),\n", - " layers.MaxPooling2D(pool_size=(2,2)),\n", - " layers.Dropout(0.2),\n", - "\n", - " layers.Flatten(),\n", - " layers.Dense(256,activation=\"relu\"),\n", - " layers.Dropout(0.2),\n", - " layers.Dense(10, activation=\"softmax\")\n", - "\n", - "\n", - "])\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n" - ], - "metadata": { - "id": "1L07EyQ0Yion" - }, - "execution_count": 44, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "n5PUEKqufxat", - "outputId": "1d330980-2342-4008-96c0-0b356721ee9f" - }, - "execution_count": 45, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_8\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d_16 (Conv2D) (None, 28, 28, 32) 320 \n", - " \n", - " conv2d_17 (Conv2D) (None, 28, 28, 128) 36992 \n", - " \n", - " conv2d_18 (Conv2D) (None, 28, 28, 32) 36896 \n", - " \n", - " max_pooling2d_8 (MaxPooling (None, 14, 14, 32) 0 \n", - " 2D) \n", - " \n", - " dropout_15 (Dropout) (None, 14, 14, 32) 0 \n", - " \n", - " flatten_8 (Flatten) (None, 6272) 0 \n", - " \n", - " dense_16 (Dense) (None, 256) 1605888 \n", - " \n", - " dropout_16 (Dropout) (None, 256) 0 \n", - " \n", - " dense_17 (Dense) (None, 10) 2570 \n", - " \n", - "=================================================================\n", - "Total params: 1,682,666\n", - "Trainable params: 1,682,666\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.compile(optimizer='adam',loss='sparse_categorical_crossentropy', metrics=['accuracy'])\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "history=model.fit(X_train,Y_train, epochs=20, validation_split=0.2)\n" - ], - "metadata": { - "id": "nKEZ8cbO9JVV", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "d079402b-ccab-4f3c-8708-00bf8a5e2a69" - }, - "execution_count": 46, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/20\n", - "200/200 [==============================] - 2s 8ms/step - loss: 0.3703 - accuracy: 0.8850 - val_loss: 0.1262 - val_accuracy: 0.9606\n", - "Epoch 2/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0919 - accuracy: 0.9692 - val_loss: 0.1048 - val_accuracy: 0.9694\n", - "Epoch 3/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0611 - accuracy: 0.9814 - val_loss: 0.0519 - val_accuracy: 0.9819\n", - "Epoch 4/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0361 - accuracy: 0.9875 - val_loss: 0.0600 - val_accuracy: 0.9825\n", - "Epoch 5/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0306 - accuracy: 0.9884 - val_loss: 0.0515 - val_accuracy: 0.9850\n", - "Epoch 6/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0222 - accuracy: 0.9923 - val_loss: 0.0650 - val_accuracy: 0.9844\n", - "Epoch 7/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0234 - accuracy: 0.9920 - val_loss: 0.0473 - val_accuracy: 0.9850\n", - "Epoch 8/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0143 - accuracy: 0.9952 - val_loss: 0.0855 - val_accuracy: 0.9800\n", - "Epoch 9/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0126 - accuracy: 0.9955 - val_loss: 0.0598 - val_accuracy: 0.9844\n", - "Epoch 10/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0078 - accuracy: 0.9978 - val_loss: 0.0618 - val_accuracy: 0.9844\n", - "Epoch 11/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0110 - accuracy: 0.9956 - val_loss: 0.0638 - val_accuracy: 0.9869\n", - "Epoch 12/20\n", - "200/200 [==============================] - 2s 8ms/step - loss: 0.0130 - accuracy: 0.9956 - val_loss: 0.0535 - val_accuracy: 0.9812\n", - "Epoch 13/20\n", - "200/200 [==============================] - 2s 8ms/step - loss: 0.0064 - accuracy: 0.9986 - val_loss: 0.0859 - val_accuracy: 0.9837\n", - "Epoch 14/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0131 - accuracy: 0.9967 - val_loss: 0.0779 - val_accuracy: 0.9869\n", - "Epoch 15/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0094 - accuracy: 0.9980 - val_loss: 0.0758 - val_accuracy: 0.9831\n", - "Epoch 16/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0148 - accuracy: 0.9952 - val_loss: 0.0806 - val_accuracy: 0.9812\n", - "Epoch 17/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0070 - accuracy: 0.9977 - val_loss: 0.1606 - val_accuracy: 0.9719\n", - "Epoch 18/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0141 - accuracy: 0.9955 - val_loss: 0.1134 - val_accuracy: 0.9731\n", - "Epoch 19/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0105 - accuracy: 0.9962 - val_loss: 0.1011 - val_accuracy: 0.9794\n", - "Epoch 20/20\n", - "200/200 [==============================] - 1s 7ms/step - loss: 0.0088 - accuracy: 0.9966 - val_loss: 0.0982 - val_accuracy: 0.9844\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['accuracy'], label='accuracy')\n", - "plt.plot(history.history['val_accuracy'], label = 'val_accuracy')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Accuracy')\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 279 - }, - "id": "xjoAQdUc3Wx4", - "outputId": "3c3f2e69-7637-49f2-addb-39a2e5ee827b" - }, - "execution_count": 48, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "model.evaluate(X_test,Y_test)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Z0I24nQx3g6z", - "outputId": "c1c54f59-1994-4362-fef0-84471185145b" - }, - "execution_count": 51, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "63/63 [==============================] - 0s 4ms/step - loss: 0.1331 - accuracy: 0.9770\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "[0.13312648236751556, 0.9769999980926514]" - ] - }, - "metadata": {}, - "execution_count": 51 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "out=model.predict(X_test[:15])\n", - "preds=[]\n", - "for i in out:\n", - " preds.append(np.argmax(i))\n", - " " - ], - "metadata": { - "id": "qioZul7_uiYq" - }, - "execution_count": 58, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "plt.figure(figsize=(15,10))\n", - "for i in range(15):\n", - " plt.subplot(3,5,i+1)\n", - " plt.imshow(X_test[i],cmap='copper')\n", - " plt.xlabel(\"Pred: \"+str(preds[i])+\" Actual: \" + str(Y_test[i]))\n", - "# Your code\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 591 - }, - "id": "r3kTyvZu4Ixj", - "outputId": "1c7f17d1-2c98-487b-9c87-7af0c1ad98de" - }, - "execution_count": 62, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_201138.ipynb b/Assignment 3/A3_201138.ipynb deleted file mode 100644 index 4eccc9b..0000000 --- a/Assignment 3/A3_201138.ipynb +++ /dev/null @@ -1,461 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A3_201138.ipynb", - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 84, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "execution_count": 85, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 86, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing \n", - "X_train, X_test = X_train / 255.0, X_test / 255.0" - ], - "metadata": { - "id": "rbt0WbW6sDVs" - }, - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.figure(figsize=(10,10))\n", - "for i in range(64):\n", - " plt.subplot(8,8,i+1)\n", - " plt.xticks([])\n", - " plt.yticks([])\n", - " plt.grid(False)\n", - " plt.imshow(X_train[i])\n", - " plt.xlabel(Y_train[i],fontsize=10)\n", - "plt.show()\n", - "# Your code" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 589 - }, - "outputId": "5a822a35-3f0b-45f8-fbd7-663ed8ae1554" - }, - "execution_count": 87, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "# Your code\n", - "print(x_train.shape)\n", - "print(x_test.shape)\n", - "print(y_train.shape)\n", - "print(y_test.shape)\n", - "print(X_train.shape)\n", - "print(X_test.shape)\n", - "print(Y_train.shape)\n", - "print(Y_test.shape)" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "0e88008c-a57d-457d-b4e8-8a410eb4d7c3" - }, - "execution_count": 88, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(60000, 28, 28)\n", - "(10000, 28, 28)\n", - "(60000,)\n", - "(10000,)\n", - "(8000, 28, 28)\n", - "(2000, 28, 28)\n", - "(8000,)\n", - "(2000,)\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.hist(Y_train,color='orange',label='train')\n", - "plt.hist(Y_test,color='blue',label='test')\n", - "plt.legend()\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 265 - }, - "id": "IIJMHJg7f-DO", - "outputId": "c58e96e4-75c5-4095-eb8d-7131fe7e6276" - }, - "execution_count": 89, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n", - "from tensorflow.keras import datasets, layers, models\n", - "model = models.Sequential()\n", - "model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28,28,1)))\n", - "model.add(layers.Conv2D(128, (3, 3), activation='relu'))\n", - "model.add(layers.MaxPooling2D((2, 2)))\n", - "model.add(layers.Dropout(0.25))\n", - "model.add(layers.Flatten())\n", - "model.add(layers.Dense(512, activation='relu'))\n", - "model.add(layers.Dropout(0.5))\n", - "model.add(layers.Dense(10, activation='softmax'))\n", - "model.summary()" - ], - "metadata": { - "id": "1L07EyQ0Yion", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "72130efb-805b-4c5c-ab88-4c87e43e8693" - }, - "execution_count": 90, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_4\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d_8 (Conv2D) (None, 26, 26, 32) 320 \n", - " \n", - " conv2d_9 (Conv2D) (None, 24, 24, 128) 36992 \n", - " \n", - " max_pooling2d_4 (MaxPooling (None, 12, 12, 128) 0 \n", - " 2D) \n", - " \n", - " dropout_6 (Dropout) (None, 12, 12, 128) 0 \n", - " \n", - " flatten_4 (Flatten) (None, 18432) 0 \n", - " \n", - " dense_8 (Dense) (None, 512) 9437696 \n", - " \n", - " dropout_7 (Dropout) (None, 512) 0 \n", - " \n", - " dense_9 (Dense) (None, 10) 5130 \n", - " \n", - "=================================================================\n", - "Total params: 9,480,138\n", - "Trainable params: 9,480,138\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.compile(optimizer='adam',\n", - " loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n", - " metrics=['accuracy'])" - ], - "metadata": { - "id": "nKEZ8cbO9JVV" - }, - "execution_count": 91, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "history = model.fit(X_train, Y_train, epochs=10,\n", - " validation_data=(X_test, Y_test))" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "-8C9MLR2jo2-", - "outputId": "bfc0d5f7-c35a-4ee1-f6ed-82fce4ae3e58" - }, - "execution_count": 92, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/10\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "250/250 [==============================] - 2s 7ms/step - loss: 3.5620 - accuracy: 0.8708 - val_loss: 0.1295 - val_accuracy: 0.9570\n", - "Epoch 2/10\n", - "250/250 [==============================] - 2s 7ms/step - loss: 0.1539 - accuracy: 0.9511 - val_loss: 0.1326 - val_accuracy: 0.9585\n", - "Epoch 3/10\n", - "250/250 [==============================] - 2s 6ms/step - loss: 0.0931 - accuracy: 0.9694 - val_loss: 0.1332 - val_accuracy: 0.9635\n", - "Epoch 4/10\n", - "250/250 [==============================] - 2s 7ms/step - loss: 0.0912 - accuracy: 0.9720 - val_loss: 0.1361 - val_accuracy: 0.9655\n", - "Epoch 5/10\n", - "250/250 [==============================] - 2s 7ms/step - loss: 0.0611 - accuracy: 0.9795 - val_loss: 0.1529 - val_accuracy: 0.9650\n", - "Epoch 6/10\n", - "250/250 [==============================] - 2s 6ms/step - loss: 0.0653 - accuracy: 0.9809 - val_loss: 0.1284 - val_accuracy: 0.9675\n", - "Epoch 7/10\n", - "250/250 [==============================] - 2s 7ms/step - loss: 0.0452 - accuracy: 0.9874 - val_loss: 0.1309 - val_accuracy: 0.9710\n", - "Epoch 8/10\n", - "250/250 [==============================] - 2s 7ms/step - loss: 0.0525 - accuracy: 0.9850 - val_loss: 0.1377 - val_accuracy: 0.9700\n", - "Epoch 9/10\n", - "250/250 [==============================] - 2s 7ms/step - loss: 0.0519 - accuracy: 0.9844 - val_loss: 0.1302 - val_accuracy: 0.9730\n", - "Epoch 10/10\n", - "250/250 [==============================] - 2s 7ms/step - loss: 0.0453 - accuracy: 0.9871 - val_loss: 0.1304 - val_accuracy: 0.9720\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Evaluate the model\n", - "plt.plot(history.history['accuracy'], label='accuracy')\n", - "plt.plot(history.history['val_accuracy'], label = 'val_accuracy')\n", - "plt.plot(history.history['loss'], label='loss')\n", - "plt.plot(history.history['val_loss'], label = 'val_loss')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Accuracy/loss')\n", - "plt.legend()\n", - "test_loss, test_acc = model.evaluate(X_test, Y_test)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 296 - }, - "id": "T4pUYA9ZvOL2", - "outputId": "45b2d26c-5ffa-4418-9b88-8d793fbf1dcd" - }, - "execution_count": 93, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "63/63 [==============================] - 0s 4ms/step - loss: 0.1304 - accuracy: 0.9720\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "y_pred=model.predict(X_test[:64])\n", - "y_pred=np.argmax(y_pred, axis=1)\n", - "fig, axis = plt.subplots(1, 10, figsize=(20,20))\n", - "for i in range(0, 10):\n", - " axis[i].imshow(X_test[i], cmap='gray')\n", - " axis[i].set_title(\"Predict: {}, True: {}\".format(y_pred[i], Y_test[i]), fontsize=12)\n", - "plt.subplots_adjust(wspace=0.2, hspace=0.5)" - ], - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 158 - }, - "outputId": "f2ba7104-c656-4f88-d633-ced92a6ade5d" - }, - "execution_count": 95, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_201168.ipynb b/Assignment 3/A3_201168.ipynb deleted file mode 100644 index 4dae186..0000000 --- a/Assignment 3/A3_201168.ipynb +++ /dev/null @@ -1,795 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "VGHh_5UYzKpV" - }, - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "JnsMbCPNzPAr" - }, - "source": [ - "## Importing TensorFlow" - ] - }, - { - "cell_type": "code", - "execution_count": 226, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "6Ji7HGpgzSPi" - }, - "source": [ - "## Get the dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 227, - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "outputs": [], - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ] - }, - { - "cell_type": "code", - "execution_count": 228, - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "outputs": [], - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ] - }, - { - "cell_type": "code", - "execution_count": 229, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "rbt0WbW6sDVs", - "outputId": "9387b4a0-a3b1-4776-dac7-3da39e7bdc2e" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(8000, 28, 28)" - ] - }, - "metadata": {}, - "execution_count": 229 - } - ], - "source": [ - "# Pre processing \n", - "X_train.shape " - ] - }, - { - "cell_type": "code", - "execution_count": 230, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "AZCN9a_VTcss", - "outputId": "61ae4bd5-f698-4147-a964-0e11e97fac11" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(8000,)" - ] - }, - "metadata": {}, - "execution_count": 230 - } - ], - "source": [ - "Y_train.shape " - ] - }, - { - "cell_type": "code", - "execution_count": 231, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "KMpa776hThz8", - "outputId": "7daae208-d767-496d-8635-1b1f63a8b28a" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([[[0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " ...,\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0]],\n", - "\n", - " [[0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " ...,\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0]],\n", - "\n", - " [[0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " ...,\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0]],\n", - "\n", - " ...,\n", - "\n", - " [[0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " ...,\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0]],\n", - "\n", - " [[0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " ...,\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0]],\n", - "\n", - " [[0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " ...,\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0],\n", - " [0, 0, 0, ..., 0, 0, 0]]], dtype=uint8)" - ] - }, - "metadata": {}, - "execution_count": 231 - } - ], - "source": [ - "X_train" - ] - }, - { - "cell_type": "code", - "execution_count": 232, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "TZHZImpVTkk0", - "outputId": "651a184e-8f0a-40e1-e96d-16e9cdcf70d7" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([7, 7, 1, ..., 1, 8, 2], dtype=uint8)" - ] - }, - "metadata": {}, - "execution_count": 232 - } - ], - "source": [ - "Y_train" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "EVpQheoVqoEG" - }, - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ] - }, - { - "cell_type": "code", - "execution_count": 233, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 827 - }, - "id": "yF1Nj63Bz9m7", - "outputId": "f6c40ad4-815d-4ddd-f2ea-4a46c52f265e" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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}, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code \n", - "\n", - "for i in range(10): \n", - " plt.figure(figsize=(5,5)) \n", - " plt.subplot(5,5,i+1)\n", - " plt.imshow(X_train[i], cmap=plt.get_cmap('gray'))\n", - " plt.show() " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Rx8muKSIrKhe" - }, - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ] - }, - { - "cell_type": "code", - "execution_count": 234, - "metadata": { - "id": "37kehTG_6Pi4" - }, - "outputs": [], - "source": [ - "import numpy as np \n", - "\n", - "# Your code \n", - "import matplotlib.pyplot as plt \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "kWlpCWdAr8d3" - }, - "source": [ - "## Model" - ] - }, - { - "cell_type": "code", - "execution_count": 235, - "metadata": { - "id": "1L07EyQ0Yion" - }, - "outputs": [], - "source": [ - "# model building\n", - "import keras\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n", - "from keras.models import Sequential \n", - "from keras.layers import Dense, Conv2D, MaxPool2D, Flatten, Dropout \n", - "\n", - "model= Sequential() \n", - "\n", - "model.add(Conv2D(32, (3,3), activation='relu', input_shape = (28,28,1) )) \n", - "model.add(MaxPool2D((2,2)))\n", - "\n", - "model.add(Conv2D(64, (3,3), activation='relu' )) \n", - "model.add(MaxPool2D((2,2))) \n", - "\n", - "\n", - "model.add(Flatten()) \n", - "model.add(Dropout(0.25))\n", - "\n", - "\n", - "model.add(Dense(10, activation='softmax')) \n" - ] - }, - { - "cell_type": "code", - "execution_count": 236, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "iDlFt7C5ITis", - "outputId": "d022c948-6cf1-4f1f-f980-91b5a79853a0" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential_39\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d_78 (Conv2D) (None, 26, 26, 32) 320 \n", - " \n", - " max_pooling2d_75 (MaxPoolin (None, 13, 13, 32) 0 \n", - " g2D) \n", - " \n", - " conv2d_79 (Conv2D) (None, 11, 11, 64) 18496 \n", - " \n", - " max_pooling2d_76 (MaxPoolin (None, 5, 5, 64) 0 \n", - " g2D) \n", - " \n", - " flatten_35 (Flatten) (None, 1600) 0 \n", - " \n", - " dropout_46 (Dropout) (None, 1600) 0 \n", - " \n", - " dense_70 (Dense) (None, 10) 16010 \n", - " \n", - "=================================================================\n", - "Total params: 34,826\n", - "Trainable params: 34,826\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "model.summary()" - ] - }, - { - "cell_type": "code", - "execution_count": 237, - "metadata": { - "id": "nKEZ8cbO9JVV" - }, - "outputs": [], - "source": [ - "\n", - "# Compile the model (add optimizers and metrics) \n", - "model.compile(optimizer='adam', loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits= True), metrics=['accuracy'])\n", - "\n", - "\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you) \n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 238, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "BMuBYl1VjRql", - "outputId": "bb925035-711f-4a4c-983b-25ecfcbd1421" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/10\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "200/200 [==============================] - 1s 5ms/step - loss: 3.2156 - accuracy: 0.7669 - val_loss: 0.2537 - val_accuracy: 0.9225\n", - "Epoch 2/10\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.3018 - accuracy: 0.9137 - val_loss: 0.1819 - val_accuracy: 0.9481\n", - "Epoch 3/10\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.1912 - accuracy: 0.9433 - val_loss: 0.1620 - val_accuracy: 0.9550\n", - "Epoch 4/10\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.1421 - accuracy: 0.9573 - val_loss: 0.1311 - val_accuracy: 0.9594\n", - "Epoch 5/10\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.0915 - accuracy: 0.9706 - val_loss: 0.1318 - val_accuracy: 0.9619\n", - "Epoch 6/10\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.0858 - accuracy: 0.9716 - val_loss: 0.1109 - val_accuracy: 0.9700\n", - "Epoch 7/10\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.0639 - accuracy: 0.9770 - val_loss: 0.1037 - val_accuracy: 0.9737\n", - "Epoch 8/10\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.0547 - accuracy: 0.9795 - val_loss: 0.0928 - val_accuracy: 0.9787\n", - "Epoch 9/10\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0493 - accuracy: 0.9850 - val_loss: 0.1071 - val_accuracy: 0.9762\n", - "Epoch 10/10\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0402 - accuracy: 0.9869 - val_loss: 0.0969 - val_accuracy: 0.9762\n" - ] - } - ], - "source": [ - "Model_train= model.fit(X_train, Y_train, epochs=10, validation_split= 0.2)" - ] - }, - { - "cell_type": "code", - "execution_count": 239, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 296 - }, - "id": "BiTSDJYnePpD", - "outputId": "fbe458a6-87b4-4f94-9424-61cc572bfc53" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "Text(0, 0.5, 'Accuracy')" - ] - }, - "metadata": {}, - "execution_count": 239 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - " plt.plot(Model_train.history['accuracy'] ) \n", - " plt.plot(Model_train.history['val_accuracy']) \n", - " plt.xlabel('Epoch')\n", - " plt.ylabel('Accuracy')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "ml1Kna_DuJrL" - }, - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ] - }, - { - "cell_type": "code", - "execution_count": 275, - "metadata": { - "id": "qioZul7_uiYq" - }, - "outputs": [], - "source": [ - "# Your code \n", - "Model_pred = model.predict(X_test[:10]) \n", - "arr=[]\n", - "for i in range(10):\n", - " values=np.where(Model_pred[i]==max(Model_pred[i]))\n", - " arr.append(values)\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 276, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 967 - }, - "id": "QxcwKgIHfDuy", - "outputId": "3165b47a-2344-47fd-d8da-8cdd1925a81c" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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}, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "\n", - "\n", - "\n", - "for i in range(10): \n", - " plt.figure(figsize=(5,5))\n", - " plt.subplot(5,5,i+1) \n", - " plt.imshow(X_test[i],cmap=plt.get_cmap('gray'))\n", - " plt.xlabel(f\"{arr[i][0]}\")" - ] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "name": "Copy of CV_with_TF-Assignment-3.ipynb", - "provenance": [] - }, - "gpuClass": "standard", - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/Assignment 3/A3_210355.ipynb b/Assignment 3/A3_210355.ipynb deleted file mode 100644 index 41a0843..0000000 --- a/Assignment 3/A3_210355.ipynb +++ /dev/null @@ -1,690 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A3_210355.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "4053cc61-0659-4776-9440-ecedf544c297" - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n", - "11493376/11490434 [==============================] - 0s 0us/step\n", - "11501568/11490434 [==============================] - 0s 0us/step\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing \n", - "print(X_train.shape,Y_train.shape )" - ], - "metadata": { - "id": "rbt0WbW6sDVs", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "8cfe0235-30e3-4388-d7ad-c6d37e0eeff6" - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(8000, 28, 28) (8000,)\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "for i in range(10):\n", - " print(Y_train[i])" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "HQKxPCUGfRlN", - "outputId": "20585548-a6de-46d6-cb9d-bb6e45d49932" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "3\n", - "8\n", - "7\n", - "8\n", - "7\n", - "4\n", - "2\n", - "9\n", - "5\n", - "6\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code\n", - "plt.figure(figsize=(10,10))\n", - "for i in range(9):\n", - " plt.subplot(3,3,i+1)\n", - " plt.xticks([])\n", - " plt.yticks([])\n", - " plt.grid(False)\n", - " plt.imshow(X_train[i])\n", - " plt.xlabel(Y_train[i])\n", - "\n", - " #plt.show()" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 589 - }, - "outputId": "ecc70f3b-6d61-4bfc-a6f8-f6cc262a33b5" - }, - "execution_count": 7, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "unique, counts = np.unique(Y_train, return_counts=True)\n", - "\n", - "print( np.array((unique, counts)).T)\n" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "0152a2e9-242d-46de-887a-8025c629df05" - }, - "execution_count": 8, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[[ 0 779]\n", - " [ 1 905]\n", - " [ 2 852]\n", - " [ 3 787]\n", - " [ 4 797]\n", - " [ 5 705]\n", - " [ 6 767]\n", - " [ 7 827]\n", - " [ 8 780]\n", - " [ 9 801]]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.bar(unique,counts)\n", - "plt.title(\"Statistics of Training dataset\")\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "vYo9z8uBinNo", - "outputId": "e071324e-d243-4bce-e5f4-ab69d8c29675" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "unique, counts = np.unique(Y_test, return_counts=True)\n", - "plt.bar(unique,counts)\n", - "plt.title(\"Statistics of Test dataset\")\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 281 - }, - "id": "RwLbXqFUkVy5", - "outputId": "de53e279-2666-4943-fb13-721f61f1afdb" - }, - "execution_count": 10, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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ZVbU1yY8AH0vyjcGFVVVJaroNq+ps4GyAdevWTbuOJGlhFnXlXlVb+6/bgQ8CRwA3JjkYoP+6fbFFSpLmZ8HhnmTvJPtOvgaeC1wBXAyc0q92CvChxRYpSZqfxQzLrAA+mGRyP/9YVR9J8iXgoiQvB64HTlh8mZKk+VhwuFfVtcCTpmm/CTh6MUVJkhbHv1CVpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoMMd0lqkOEuSQ0y3CWpQYa7JDXIcJekBhnuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoOGFu5JjklyTZKNSc4YVj+SpPsbSrgn2QP4W+BYYC1wUpK1w+hLknR/w7pyPwLYWFXXVtX3gfcCxw+pL0nSFKmqXb/T5JeAY6rqV/v5k4GnVdUrBtZZD6zvZx8LXLPLC5nZQcC3l7C/BwqPe7x43O17ZFUtn27BsqWuZFJVnQ2cPYq+k2yoqnWj6HuUPO7x4nGPt2ENy2wFVg3Mr+zbJElLYFjh/iVgTZJHJdkLOBG4eEh9SZKmGMqwTFXdneQVwEeBPYB3VdWVw+hrgUYyHPQA4HGPF497jA3lhqokabT8C1VJapDhLkkNGqtwH9ePREiyKsknk1yV5Mokrxp1TUslyR5JvpLkw6OuZSkl2T/J+5J8I8nVSZ4+6pqWQpLf7X/Gr0hyYZKHjLqmURmbcB/zj0S4Gzi9qtYCRwKnjdGxvwq4etRFjMDbgI9U1eOAJzEG5yDJocArgXVVdRjdwxwnjraq0RmbcGeMPxKhqrZV1Zf71zvo/qEfOtqqhi/JSuD5wDmjrmUpJdkP+BngXICq+n5V3TraqpbMMuChSZYBDwO+NeJ6Rmacwv1QYPPA/BbGIOCmSrIaeDLwhdFWsiTeCvwhcO+oC1lijwImgHf3Q1LnJNl71EUNW1VtBf4K+CawDbitqi4dbVWjM07hPvaS7AO8H/idqrp91PUMU5IXANur6vJR1zICy4CnAO+sqicDdwDN32NKcgDdb+OPAg4B9k7yktFWNTrjFO5j/ZEISfakC/YLquoDo65nCTwD+IUkm+iG4J6d5D2jLWnJbAG2VNXkb2fvowv71j0HuK6qJqrqLuADwE+PuKaRGadwH9uPREgSuvHXq6vqzaOuZylU1WuqamVVrab7Xn+iqsbiKq6qbgA2J3ls33Q0cNUIS1oq3wSOTPKw/mf+aMbgRvJMRvapkEttN/hIhGF6BnAy8PUkX+3bzqyqS0ZYk4brt4EL+guZa4FTR1zP0FXVF5K8D/gy3RNiX2GMP4rAjx+QpAaN07CMJI0Nw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ16P8Ba8WOW+sbdz8AAAAASUVORK5CYII=\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf\n", - "\n", - "from tensorflow.keras import datasets, layers, models" - ], - "metadata": { - "id": "KskPPe1OopEk" - }, - "execution_count": 11, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n", - "model = models.Sequential()\n", - "model.add(layers.Conv2D(6,(5,5),activation='relu',input_shape=(28,28,1)))\n", - "model.add(layers.MaxPooling2D((2,2)))\n", - "model.add(layers.Conv2D(16,(5,5),activation='relu'))\n", - "model.add(layers.MaxPooling2D((2,2)))\n", - "#model.add(layers.Conv2D(16,(5,5),activation='relu'))\n" - ], - "metadata": { - "id": "1L07EyQ0Yion" - }, - "execution_count": 12, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "_L-lh6Fdo5pD", - "outputId": "eeb9f6ff-9d5a-493a-8346-3140e9a8c161" - }, - "execution_count": 13, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d (Conv2D) (None, 24, 24, 6) 156 \n", - " \n", - " max_pooling2d (MaxPooling2D (None, 12, 12, 6) 0 \n", - " ) \n", - " \n", - " conv2d_1 (Conv2D) (None, 8, 8, 16) 2416 \n", - " \n", - " max_pooling2d_1 (MaxPooling (None, 4, 4, 16) 0 \n", - " 2D) \n", - " \n", - "=================================================================\n", - "Total params: 2,572\n", - "Trainable params: 2,572\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "model.add(layers.Flatten())\n", - "model.add(layers.Dense(64,activation='relu'))\n", - "model.add(layers.Dense(10,activation='softmax'))" - ], - "metadata": { - "id": "MDYq4TmXqoKJ" - }, - "execution_count": 14, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "P3gp5K5Cq43o", - "outputId": "35cb3687-3bd2-450e-df29-2e3cb0b37e8c" - }, - "execution_count": 15, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d (Conv2D) (None, 24, 24, 6) 156 \n", - " \n", - " max_pooling2d (MaxPooling2D (None, 12, 12, 6) 0 \n", - " ) \n", - " \n", - " conv2d_1 (Conv2D) (None, 8, 8, 16) 2416 \n", - " \n", - " max_pooling2d_1 (MaxPooling (None, 4, 4, 16) 0 \n", - " 2D) \n", - " \n", - " flatten (Flatten) (None, 256) 0 \n", - " \n", - " dense (Dense) (None, 64) 16448 \n", - " \n", - " dense_1 (Dense) (None, 10) 650 \n", - " \n", - "=================================================================\n", - "Total params: 19,670\n", - "Trainable params: 19,670\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.compile(optimizer='adam',\n", - " loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n", - " metrics=['accuracy'])" - ], - "metadata": { - "id": "nKEZ8cbO9JVV" - }, - "execution_count": 16, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "history=model.fit(X_train,Y_train,epochs=15,\n", - " validation_split=0.2)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "KMRrQeLorPaT", - "outputId": "a7ba2e14-3149-4663-e24a-5cd517e7da15" - }, - "execution_count": 17, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/15\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "200/200 [==============================] - 13s 4ms/step - loss: 3.5083 - accuracy: 0.6498 - val_loss: 0.6863 - val_accuracy: 0.8338\n", - "Epoch 2/15\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.4497 - accuracy: 0.8820 - val_loss: 0.5143 - val_accuracy: 0.8763\n", - "Epoch 3/15\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.2474 - accuracy: 0.9291 - val_loss: 0.3242 - val_accuracy: 0.9162\n", - "Epoch 4/15\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.1646 - accuracy: 0.9497 - val_loss: 0.2786 - val_accuracy: 0.9269\n", - "Epoch 5/15\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0995 - accuracy: 0.9706 - val_loss: 0.2608 - val_accuracy: 0.9312\n", - "Epoch 6/15\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.0617 - accuracy: 0.9791 - val_loss: 0.2482 - val_accuracy: 0.9388\n", - "Epoch 7/15\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.0440 - accuracy: 0.9852 - val_loss: 0.2274 - val_accuracy: 0.9431\n", - "Epoch 8/15\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.0257 - accuracy: 0.9919 - val_loss: 0.2418 - val_accuracy: 0.9438\n", - "Epoch 9/15\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.0199 - accuracy: 0.9947 - val_loss: 0.2495 - val_accuracy: 0.9444\n", - "Epoch 10/15\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.0172 - accuracy: 0.9950 - val_loss: 0.2155 - val_accuracy: 0.9525\n", - "Epoch 11/15\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.0200 - accuracy: 0.9941 - val_loss: 0.2268 - val_accuracy: 0.9494\n", - "Epoch 12/15\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0258 - accuracy: 0.9912 - val_loss: 0.2488 - val_accuracy: 0.9531\n", - "Epoch 13/15\n", - "200/200 [==============================] - 1s 3ms/step - loss: 0.0207 - accuracy: 0.9930 - val_loss: 0.2388 - val_accuracy: 0.9475\n", - "Epoch 14/15\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0143 - accuracy: 0.9953 - val_loss: 0.2312 - val_accuracy: 0.9556\n", - "Epoch 15/15\n", - "200/200 [==============================] - 1s 4ms/step - loss: 0.0171 - accuracy: 0.9944 - val_loss: 0.2818 - val_accuracy: 0.9475\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "plt.plot(history.history['accuracy'], label='accuracy')\n", - "plt.plot(history.history['val_accuracy'], label = 'val_accuracy')\n", - "plt.xlabel('Epoch')\n", - "plt.ylabel('Accuracy')\n", - "plt.ylim([0.5, 1])\n", - "plt.legend(loc='lower right')" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 300 - }, - "id": "WYc1kLVNskB_", - "outputId": "be139d36-5860-429b-b6f9-75fb73ccdd91" - }, - "execution_count": 18, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 18 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "test_loss, test_acc = model.evaluate(X_test,Y_test, verbose=2)\n", - "print(test_acc)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "zlFCCV8Ts3gA", - "outputId": "4ec035a3-644e-4223-a698-3d1ee1f85922" - }, - "execution_count": 19, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "63/63 - 0s - loss: 0.3561 - accuracy: 0.9450 - 344ms/epoch - 5ms/step\n", - "0.9449999928474426\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "parr=model.predict(X_test[:25])" - ], - "metadata": { - "id": "_61eogFjuhDJ" - }, - "execution_count": 24, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "arr=[]\n", - "for i in range(25):\n", - " n=np.where(parr[i]==max(parr[i]))\n", - " arr.append(n)" - ], - "metadata": { - "id": "xLL7LlmsVIAg" - }, - "execution_count": 28, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Your code\n", - "plt.figure(figsize=(15,15))\n", - "for i in range(25):\n", - " plt.subplot(5,5,i+1)\n", - " plt.xticks([])\n", - " plt.yticks([])\n", - " plt.grid(False)\n", - " plt.imshow(X_test[i])\n", - " plt.xlabel(f\"{Y_test[i]}--->{arr[i][0]}\")\n", - "\n" - ], - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 860 - }, - "outputId": "45c7f478-23ec-4801-dab7-ccc7795a0aa4" - }, - "execution_count": 33, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": {} - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_211044.ipynb b/Assignment 3/A3_211044.ipynb deleted file mode 100644 index b5167c7..0000000 --- a/Assignment 3/A3_211044.ipynb +++ /dev/null @@ -1,602 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "soln-CV_with_TF-Assignment-3.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL", - "outputId": "6933b6fa-3bf7-41a1-b733-c95daffbfd97", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n", - "11493376/11490434 [==============================] - 0s 0us/step\n", - "11501568/11490434 [==============================] - 0s 0us/step\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 3, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing \n", - "X_train = X_train / 255.0\n", - "X_test = X_test / 255.0" - ], - "metadata": { - "id": "rbt0WbW6sDVs" - }, - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "for i in range(5):\n", - " plt.imshow(X_train[i])\n", - " plt.show()\n", - " print(Y_train[i])\n", - " " - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "outputId": "b515e3a9-15fb-41ac-b0ad-fa71a4195b2b", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - } - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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}, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "7\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "\n", - "nums = np.zeros(10, dtype='int')\n", - "for i in Y_train:\n", - " nums[i] += 1\n", - "\n", - "print(nums)" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "e489d439-ebf3-4628-feb1-7165abc374e8" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[772 912 843 812 776 723 771 824 768 799]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation\n", - "from tensorflow import keras\n", - "\n", - "model = keras.models.Sequential([\n", - " keras.layers.Flatten(),\n", - " keras.layers.Dense(128, activation='relu'),\n", - " keras.layers.Dense(10)\n", - "])\n", - "\n", - "loss = keras.losses.SparseCategoricalCrossentropy(from_logits=True)\n", - "optim = keras.optimizers.Adam(learning_rate=0.001)\n", - "metrics = ['accuracy']\n" - ], - "metadata": { - "id": "1L07EyQ0Yion" - }, - "execution_count": 7, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.compile(loss=loss, optimizer=optim, metrics=metrics)\n", - "\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "model.fit(X_train, Y_train, epochs=10, shuffle=True, verbose=2)\n", - "\n", - "prob_model = keras.models.Sequential([\n", - " model,\n", - " keras.layers.Softmax()\n", - "])\n", - "\n", - "model.evaluate(X_test, Y_test, verbose=2)" - ], - "metadata": { - "id": "nKEZ8cbO9JVV", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "954df34f-13f1-477a-9885-b573a216ba2b" - }, - "execution_count": 8, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/10\n", - "250/250 - 3s - loss: 0.5477 - accuracy: 0.8438 - 3s/epoch - 12ms/step\n", - "Epoch 2/10\n", - "250/250 - 0s - loss: 0.2456 - accuracy: 0.9271 - 429ms/epoch - 2ms/step\n", - "Epoch 3/10\n", - "250/250 - 0s - loss: 0.1723 - accuracy: 0.9511 - 417ms/epoch - 2ms/step\n", - "Epoch 4/10\n", - "250/250 - 0s - loss: 0.1300 - accuracy: 0.9629 - 415ms/epoch - 2ms/step\n", - "Epoch 5/10\n", - "250/250 - 0s - loss: 0.0995 - accuracy: 0.9711 - 418ms/epoch - 2ms/step\n", - "Epoch 6/10\n", - "250/250 - 0s - loss: 0.0739 - accuracy: 0.9810 - 426ms/epoch - 2ms/step\n", - "Epoch 7/10\n", - "250/250 - 0s - loss: 0.0559 - accuracy: 0.9864 - 416ms/epoch - 2ms/step\n", - "Epoch 8/10\n", - "250/250 - 0s - loss: 0.0444 - accuracy: 0.9909 - 424ms/epoch - 2ms/step\n", - "Epoch 9/10\n", - "250/250 - 0s - loss: 0.0330 - accuracy: 0.9941 - 428ms/epoch - 2ms/step\n", - "Epoch 10/10\n", - "250/250 - 0s - loss: 0.0250 - accuracy: 0.9969 - 409ms/epoch - 2ms/step\n", - "63/63 - 0s - loss: 0.1523 - accuracy: 0.9500 - 286ms/epoch - 5ms/step\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "[0.1522577553987503, 0.949999988079071]" - ] - }, - "metadata": {}, - "execution_count": 8 - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "y_pred = prob_model(X_test)\n", - "y_pred = np.argmax(y_pred, axis=1)\n", - "\n", - "for i in range(10):\n", - " plt.imshow(X_test[i])\n", - " plt.show()\n", - " print('Predicted:', y_pred[i], 'Actual:', Y_test[i])" - ], - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "f48dd718-defa-4593-d7a8-818d9427019f" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": "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\n" - }, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Predicted: 7 Actual: 7\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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}, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Predicted: 9 Actual: 9\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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- }, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Predicted: 4 Actual: 4\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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}, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Predicted: 3 Actual: 3\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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}, - "metadata": { - "needs_background": "light" - } - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Predicted: 5 Actual: 5\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_211055.ipynb b/Assignment 3/A3_211055.ipynb deleted file mode 100644 index fafc4ca..0000000 --- a/Assignment 3/A3_211055.ipynb +++ /dev/null @@ -1,593 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Copy of CV_with_TF-Assignment-3.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ], - "metadata": { - "id": "VGHh_5UYzKpV" - } - }, - { - "cell_type": "markdown", - "source": [ - "## Importing TensorFlow" - ], - "metadata": { - "id": "JnsMbCPNzPAr" - } - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Get the dataset" - ], - "metadata": { - "id": "6Ji7HGpgzSPi" - } - }, - { - "cell_type": "code", - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ], - "metadata": { - "id": "oEW3KDEvzIHL", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "94e5017a-d05b-4e6b-8250-434192cce220" - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n", - "11493376/11490434 [==============================] - 0s 0us/step\n", - "11501568/11490434 [==============================] - 0s 0us/step\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ], - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "execution_count": 3, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Pre processing \n", - "#X_train, X_test = X_train / 255.0, X_test / 255.0" - ], - "metadata": { - "id": "rbt0WbW6sDVs" - }, - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ], - "metadata": { - "id": "EVpQheoVqoEG" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "plt.figure(figsize=(20,20))\n", - "for i in range(64):\n", - " plt.subplot(12,16,i+1)\n", - " plt.xticks([])\n", - " plt.yticks([])\n", - " plt.grid(False)\n", - " plt.imshow(X_train[i])\n", - " plt.xlabel(Y_train[i])\n", - "plt.show()\n", - "# Your code" - ], - "metadata": { - "id": "yF1Nj63Bz9m7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 379 - }, - "outputId": "e053661e-de4d-4aa5-e87a-db5f379ab97a" - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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WXiYezFJt02R2LdLwFNNOCqNiYS13Ia/gPRxY4NtQa/Pp3D7PYmeMcSdOZMahq1xD5Qv4+cL1l0kS+CAFjV09FHtt4t3NCDHAsFfj2eoWvrN4M1OlFBOzGSKxOrd1jbMlusgX0i+QNUrM7zNoJAfIPmcTTM8SNNzr7zpdgoxGEYk4wjTRkQtDAeEHUG+gGy5BPn99LB2TqlmPJJVg5mCUcm/A0NAMd7UMA/BSvYWRRo7JeoYjhW5OzeRAC7QWxGM17uoawRA+MaNOLFJHy030sBGi2Rm2TGQifmGbR8MgSDXXMctC6W0LuetaHV2toj3v+mgPV0IIVCqJyKRZ2SKpDjbY0TPLLempta29n60leKq4ix/MbGPuRI70KYFYLqLLm+v9ezXIWAwRcfCHuqm2O82sAEsQGILAAKOusUrN2lD2uXl0pdbMVrsBnrUARn8vfmuSUq/m4y0j7I5MEpXm2qDzrFflq4XbOF7s5LmTWxFSM7U7Rb+zRNYoMeumUO7GG3h6aYdSlySWen+zuyUSW7j0xfKMxLNotSFzjt49IZrv4miU2r5+qq0GS7sFjTaPaEuFnniFu3Pn2GlP02usEJdxdtpTHOgd43W7k7FPZnAWkrS9nEItlwnGpzZdlp8wLWQyju5sY+7ODL4jCEzwHKhscTGTde7oGWdbbI5uVUBdlF0z61dZ8E1OuW0cq/aw3ZnhE9FxbGGghCAraxzoGOPHnkGQjiGj0Rsyq1qYFjIeg84cS/uzuDFBNSfwYpqgr0pLqkyXmccRko5UkXO5KF7MYLMtKBOmhTANZDIBtoWfTeLHLpyFmzRpJFSzfdkCq6yJzLmoqoexUETUGgSLS2jfRwiB1hrdaGz8LLbVmk8AKIXMZqjc1MnykMk9uVfYFx0lJcXa+yYg4OW64myjk788fZD6yRRGUZAswWGnl6fauyj6EQ5kRjnVlkP3tGOYJt7s/DW7dzZ30EZrtJJEkzV643lyqkpKNtfS13Sz+OFLywOkToP52tlNudZXOyZeVJFxqnQpxaPF7Xx/bienxtsxx2zsvCA6G/DUvbv43MPHSYnr46W9eHuGL/6P/4lBo4K5OqBy92vO7xjrX8GzQq2Ow0zAERIfTe1OzR8u3McL4weInbGR5cp1uT5VWBbjH7HpuXOS3+79MfdHShyuSx4v7+Q/vvwgvX9tYOcb7BqdI2hJcurm3by0VdL5uWUGrTk++anneDXfQ2mlk3itjl7Ko+vX33X6SbIlS31rG27coNqq0KttSDU0kQUPs+iiXq+hi8X1PdCrQDo27tZOSr0Od33+MP9bx+NEpUIh+H+Xb+Kr07fzxtkuomctsid9hn50rvli8n2CrT388MH9VLp8Hr77ELlYGYzkep/SFROWhYxGoSVNrT+LXn1YeFFJYUvztZgcSWGWL9/m7bkKcnYJXa7gX29LEi5DWBZ0d1DpSZC8e45/OfhDDjoj9BpydcJA8ifTH+TIM9toOaLZ8a3j6EYDr17f+B28q00IZHsOrzXBuU/H2HHHCDsSs9wSm6DLyLPVzPNSrZevzt7OqyO9dD3aRXSmjnqleF2+k95CCFb2d7Fwi2LwwBj/vPU5HKEwLqqH9N3Sbv7ro/cTn4BdP5gD0+DZT+zj+6uTORHTxSxtvC1BS9021X1V7usaQ71f66RWJWTAHYlzjGUzeGb2ff1d14pQCtnWituRZuQfBHxwxzE+0/oS+60FTCFQNJcAmUIhieDrgIO2z56+x3B7Ayr7NX+zcit/+uWPkRhL0FIo4c/Pr/dpvSsyGSfY0sXcgQRf+K3H2B8ZoUOVcYTGBJQQmAikEPxkVaejjRZ+UNzFd0Z3UX8tg9hd5MAdf0RWuiSExaBp8u86v89X4mP8Ve/DJBdaYWbuxnjuXEQm4wR9nczcm+Kf/+ZX2WlPExMeEo0lAiTQriwCJPfmzmKIgGKmZ3MFbaRCphKISITatnbqGYPFmxT19gv/r9sHF/hY1xvscKY54IzzlcJt/NlrdyPmImSORonkfRKHBbpSQyiJ1ppgaePXSpWO3QxUGQaYBsU97eR/pcSe9in+Wdv36VQWpnDWPl/THn88+2FeGBug5etRer5xpNlvCQIWC/v4Yvv9HMyN8D+3/pj8tijP3XqAxLiDWVhpbt5yDWy6oI2MxZBtrQTJKJXeBCsDBkMtZ9kem8PXglm/znfK2xmptfLN0Zsozsfpn/MI6nX0ZtuxQinclijVVoPpuVb+VfIuHhvZTWUyTmRaEZ3WWOXmLJ1RNPGvo05xYECXqtCmos0/X6VNYlNAq1kiUKIZ1dlM2QFXQBgGcsdWGm0x3L46t7eMEZN1Jrw6T5Ru53vTuzBHbSLTRWShQrCUR2pNfMLBs22+Nr2fHck5uuxlBhMLvNLRg9ObQzUamzLouUYqhGmgWlvAttCOhTYVbiaCF7vQ4VluMah0CDwH3FRwIWhTE8THTZy8QfqUBZs4ZiOM5nXQ2RTz+6KUezS3JUZpVRG+V41xvNbNl8/dzvJYmti4IjkaEJ2qNjOMVutAGXMJEqMJVFXxrczNBEWTXeWF9T61d7baDmR/D+UdLdQyilK3WKs/4TuaeocLQD1joGpvDYKfbxPOoklkMYFR1ZhlD1V2MRaK0HDX6m4F1er1EaxYzUyS6RT5WzOUeiR3ZGcYtOZoUc1C+At+laVAcWoxR2xCEJ1t4BeL18f5XwmpULkWhGPjZ5MEUZOFrRFqLQJra4E7s8MM2bNss2bJqQadKkLZnuZgZoSyazN2cx+Vtghtla0YyyX8iekN3yn+qQiB0dWJTsVZHlI0tle5NTNJVDSHQiVdZ9YPON5o50f5IawVgappgmSEwFRIF8yyYGEiDVKzreiu8wm9lRsRtGaKdDvL77hU5b1yhKDLyNMXy3O0r5dEYYBgaoagtslqOELzHsqkEMkES3d2UumQbOsZ4/bkCB2qGRg/7saYcjMs+1GKwYUBV1Q2aFElsqrEbitPv7VAbXsNP2KTOd6GkmJTDDTX+D6i5iF8SMgaLbJKjzLXsukvrlMz4dVZDiyWgwg1bfJXs3fx0mg/wYxDYgEKJQtfC1jtR7vap6gDioGDCHRzAvxGeU5fRESj1Dqj1Ftgpz3NoNHAFBKFxF/tFCghQEu6rTwDiSQvp3tJ53LocvmaDdR/GsIwkJkMIh6ldFM79ZRc21XWG6jSmikBIIXmQG6MfdERBswl+owI+6MjPNOzlYlEiiWRwioYuNFuVEMTKIH0NfHRCqpQQU/PEWywSUxhGM1/+rtZ2ZlFKwiUYGWLZG/7FPuTY6u1ny7cSxNenRk/yovj/XAqRmy6RnBRLVizopkvxlhKxXCEos0sUukQqIZF2rh2oZRNF7QR/d3M3NfCyhb4+EdeZnd0iodiJzEFTPk2L1S6+Q9//wipM9B+okbP7BLMLWzKAaewLBZ3O5R7NbGnEvz4awfpOVdGTY03d/epN5CxKDoRw7qtY3PV67kCzbiKfMvOEaHLk4kEZ38hi3VTgd/d+SSPxM/yTK2dLxdu58+ev4/2pxX9wxV4/TSB76N9n6Baw5hfoH20gxnVw+O9PfzKI0/ygdQpHt93K41Ugp5ybvPWKxECFY8hEnHy9/ZRaZPUWsGLB2zZO8nnOw+tfTStKnQYBaKyTkK4KNHsyLxa7+LfnfgYM2Np0q+kYGFxvc7mPZOpJMU7+yn0G3zyV5/h85kX6Tc0pUDzP734j3AORWk7VKfj2HAzANFoLgu7eAmQNzlN5lsrZEwD8bUI+D7+/MYP2qh4DJFMMPVgO7t+8Q12xGd5KPE6pmg+PRWaqGyeZyUw1jpub/qO1Y7vK7V+Xiv3stSIsVCLcWqineRLXUQWA1Ini8iVKmJkYvMMEt6GWK2R5Q12on95gS/0Hebh+Ov0G8baTNWPat28UNxK40iawR8sIJYKeDfQQEDGopQPDFBpUyzuD7DbK/zyjid5KPE6WdlYKxCqEMjVbJIhQ/KP06/xqeSrHOrp4QeFnTzVs5fYRJLOr9fwZmbX+ayuPmGY5O/tY3mbZOjBc/zb/q+TUwG2iLAYVJnyDP6mcAdfeu0Act4is6hBwOzBZLPzbYJZhPRJib3iY47MsdGm42qtgn/Yd4ibnfHVOiPvn4S0uNspEmQO87379pLo7qLr2wHByNj7+nvfDyoew725n5V+h92/cZRfaH2enVaehJCc9kxeqrfx++ceYnw4h7WosBcvXFs3AbVOj0RHkd/Z9R1yxgp//YE/4unyTv5i4WNkTkeJvqg3TcZNUK4ip+eILKY4Veugw1ymx8i/JavG1T5/W9zDK4V+RgpZ8sUozrNxhn6wRBANcJMW5W6LgAtBm+XA4/HyED9eHMIs+VBvQHDjPKvP89vTzO03cbdV6VB1UjJy6Q+KgPsiZxgw53ly616S+/uJnl4gODdyTY/33ZCJBNX9/RR7TFp+cZyH299gjzNGmyoRlR7Oat9W0gz8mkKuta17nQI3b/0qrobaXsmsH+d7KzdTCSxSRpXFRpxvP7+X6GSC3m+acPTEOp7pW8l4DJFKMnV/jv7PncWQPoEW3BNf4DdafkRWKaI/kWHzt8U9vJDfQvJbcXLfGyYorLypfLdZ9KlOxTmTbMXv1twcGadxW4nFVIzMU5FrVgB+8wRthAAh8VIRSj0Q9NT4YPIkA+YCOWXgrkaN570E1rIgsuBjzq7A3AJBeZMWPwwCzJLGWhbEp30iMzXU9BL+7NzajLdYrSZ/PhHl/KyOFJs70GGWm+mtO5wpBow8Ek1dK2raYMzL4mqDXnORtKyRlh6OEESFwhaXT1wMCJpFMgMT6evmGqtgc1+nNVJhtOcI2rM0ulwOdkzQYS7jas3hSj8/nBvCmTKJT9YwFkpvDmJqH1330StFEpMegWFytpLDkS5GS5VyI4qbjWJstnXPUiFjUUQ0gre1k0baYnmbpJYLENk6TrTBva1n+WD09NqPxGRASipMFPZFD/ViME/Ecslv9sJ9QiCiUQr9BqWBgDvi5xgyJGe8gHNuDj0ZITkWYE8W8N+ueHngN7MoAKFW0IF+S7uQiQTCMtENF1x3XWu/CNtGWBaiNYvXlqTaBvdkzrDTnuJWyycgYDnw1pZeughquhm0iQkXW/hYIsAUF8qE3WRPklBVlv0YC24CrQVnlnqoZyWBkcQuxIgDolQhKKygXQ/tuZsy80RYFjqXpdZusz0zzIHIMDmlMYWiohvUdcAzK9t5amKIyKxA5FfQV1As/rqwmh1ANk1h0KDarkn1FtjWMs/uyCRdqkFRC6b8iwdbzY14FXq1PQlusacoJ2we791FWdvoRAyxYFw/9ZKEQLXlIBmn2C+pbmmwLz1OvyEwRTOItRzAsUYXY9UMuq7QCspdAq3ATa7udiNA1QWRedHs92zAd7hRhWOlLrJGCV+XsYVHYDXr7In3GMQRPiwFBo6okVgtB2AKRVTWCRyNH2FTZhALw0Ak4hR7bEo9gtuTI+y1l5EIajrgpeogR0o9jI+1Ehs2cJY0ztKFd04jIVE1g0o5xX9L38mOxCy/1fpDhuwZ3Dg0EoqYsXnKB2jfR9fqmOWAQ0u9mMJn0HiBtKxS1IJKYPB8dZCJRpbvTuxicTEOBROjLElM+IipeVRLBt8x+MnhQF3D2VobM+UEibqPdl24gSZHhWkhHJtaa4Rqj0d3SwHnMvdlXbvUtM/rjS5O1ToxKgLp6g37HheGgUwlob2V/HaLcrfmZ1rPcXf0NDvM6uoz40IZEVcH1LSmGPi4BNTW2sGF8IAjXHZGpgBoM4qsRBx+1DvIipmgsiVJvNRHsJjfOBk3SqFtCy8O+9LjRFVzvNNrLpFTxto40dU+o57HuJfiOzM3MTLTQt+sh7/QrN9zMaFB+AI/aD5bLeFj2y4Viws1Ea+BTRO0EYaJjEVYHIpy8CPH2J8c425nioQ0VjuOPqfrHRwvdeEsaiJzdSgU8QsrG/bmeidBpULrN082i6LWauiGi99oXLYT95OvI7kaSb2WDepqyRzJ85d/8jHK3Zqb7jyHY7hMFNPkyxF4JYWqQeX2Cr25PHe1DrMzMsUBZ4yht1lsWglcxn3JWDWLqgaIeoNgk7aNn6QyKWZ+ZgulfvjV257ml1RHicQAACAASURBVNIvcsJt5Rvl7fzlc/fQ+oKi92QZ9dqZZlHhS/DzBaI/OklktIsnb93NkZ4uPrPjVexdHn939kN0FPpQk3ObZltnGYvi3zJIuSfCyi+scEfnWX4j+zoD5gKO8DEJaFF6rQ4WNIOe8hLZFWVtMZ9PYC4rhLdJglY/SQhkJEKjv5Udnz3JI7lXOWjPsBTAb538ZcZHW+n/gUf0hbMEpfI7f9/qvXOp55EwDPxbBqm12ThzdYzlKmJuEX+dMpRUVwduZ5qloSiFrYLY/gUeib9BTEiUMJn1PL5ZuomCHyHvRll2o7w000ujYdDfkqfFKdMbzZM1ymsB8f2RER6ITK0GejSfSR1ifkuEGS/NK+UBXlnqY+SpPiJzmrbn8qjFFfyFxU1XEBNAZtJMfSBLaUDzT7LHuN2uYAqLgICTrsG5RhuPPXE7A9+qYU1O4c8vvKXTc71SmRTlu4dY6TPY/bk3+GTrEXZa0ySky6v1Lr5SvJnXiz1MVlJv+VlL+USNBjvis/xm9kUejJ0hdvDr/P3Wvcw8NUikWMZfzF8X2VoyGmXpI4MU+yW7Pn6K3+5+gkGjRERE1z7zo8pWvnjmA9RdExV3yfUu8WsDz9GiSnQYy2tZbmfdNv5X67MkzppEhzfejknZ43We/fatvHqgi8/s+0vazQJ+Z51awYH3WCzYrGgeK97CnsgY9zqFN20+sVkJ00KmUzS2tLHwiTq7e6a5J3KGqFAcajica7Tx+88+RPyExeDhOs6xs833zsXvHqWafeVknEpfF0/csoUHf/MYMVmnng2o5CQZZxPtMxb4BJUKkXNLTHyrly/3dhN8SNBt5zm00s/ZlVbKX+4ke6xErlSnrbYEvg9+gC6V8FdKGLHom76ymeUnmfcjfHdiJ/nRDNn5xetzQ463oVqzuAPtzN5m8q/v/wrbrJk39QPPCwiY8n3GvSS/+/KnUGcidD7XwDk+QVAsrcORvzPZkqV8YIDlbQaf/tWnuD9xnG1GiahUOOLN53j+3T3vJZl1k8zWk4yX02/5zqxd4aMtx+gwCtxsLeIIwU17/zPjXprfiPwDIrf00PNECl58/Vqd5tsSloWfcGikNPcnjtMiq+RUgInAFheeAbN+g98d+xRvzHaQejTGthMl5MgY/iXet1qAVvrCuHqdbJqgjUwl0F05Ku2C/ckxdtuTJKSBRLLk15nyLZ5Z3sax+Q4iKxpVbsBmL36o9TsPkC2TIB4l2FSVsd6ZKJRInUshG4rXu7tQKsAtWqiiIjccYFYDaq0RRioGWgtmk0k6WgsMmZdex+1qn/lA83R5ByeW24hWfETD3fwpoau7LJBJUe4Br6/GDmealBS8Vunn5eU+IpMGifE6xtwKfvltBuOBj7+ygpGP48xkWbCS2L0eQ84s1TZNeUuSRKkGS/lNcV8JJfGiBvWkYF/HBI+0HOJuZ55WFaMU+KuzC5pF313L4opKl4TwiElBy0WpsrXAxC2bRMpiQ87sXglhWchUkkbG4rbUGAecMXxg1reYmMkQGTVxZgv4V+P/r1JUOxyKPYpGTGIXbGKef22XlQmBymaaBfgGWyl1WxT7BfXeBnuzC6SlwVLg8UI1zun6EN+avZmKa1FumNQaJtWJBLIhOFW2MCMuZxKtxKzG2kt7JpNiOXGGbiNPv1ElJwX9hk/BnKbDWCZjlvniQAe+bZI95mBW6s2dF67dFXjvhEAohY7Y1LPgZTxyamVtpiogYMmPM+VmcJYE1vDcWj2fG4IQCMeh1KmodGnuyZzhbmcUR4ALvFru59XlHsbyGSorzlt/3AgwLY9Sm00x/QJRAbfYU5xJtDPSsgOnJY0oljZ30EYIVDqNSCcp9UgqfR4HM8Pssao4qx3olaDGchBwuNTP0mQarAA7XqclUuG+yBk6FMSlvRZQz6oxgqiPb8sNmVVilD2cRZtSxcFHk1YV0ukyxaQN6r0dr6prXlvpwRQ+B+38WtBGEaClRkvQcnNN1AklEfEobsqkJzfPbekxssrFR/FCZSuHC304E1YzC3Si8LbLBuVygUjDJdbSxZyXIK0qzQwtg803gak1olwlPhkAkient5ONVBhdylDJRxg6XUUePYt/uQxopfCizV2BTBFwvnhbTZuUKg6qLFf7wTdOwAYAy8SLGXhxzTZrhi5Vf9OWz9AcM1S0y/PVfo5Ve2AiQnwM7IUqQbnSzCDeSFbrzpFKsNJnUO4J+EjiKHfYGojgap8Jr04xMJnz4xSDCIcr/YxUWliqRynUHQqVCJWifaFw3yo71iBh1uh3lthmLpKWiiFT0a6W6OtcYrTaRr3FwTGt5mTNercnrRFewPn1TY7wyaz25wOCtQn84/Vejk52EUxESYzWkKOzlw3GBbaAhEfWKb/vxeXfzqYJ2hTvG2LyUy4395/jZ+JHSclmSu2UV+evCrfzo/khlv+il9bhGtaZEYKVIn51ExZie5d0dxsLt6Wp9TXWdlk6Lzh/422CAfZP8mfniT1XJe44tD+bbD6Q3Cp4PhSK4PsMHU2iozYrOzs4lOti9rMJDg79LY4w3lT8rxTUmfIFf7zwIb7/tQPEJzTmqbP4y4XmcoVNTCUSNG4bojBgc99DR/hsy4soEfB0tZO/+PsH6Pyxx8DoAkzPX3HRtGBxif5vZKj0xHisYzcP9wTs//AJpu9KsvhfOsnMzjdrKm30gZlhUM8Y1LOCg6lh7nMWiEsHV/s8Wc3yRq2bJ+d2MLaUobbsoJYNglyDvq5FDuZG+J3cc0SFhUQw46WInbZIjgSbduti1drC8j195LdL9kTGSEv4RmmIZwtDtH/XIvvcJMHcwlUpSChtm4mPaj594HmW3BhF12b4v22j9dTZq3Am7+x8+vP8IzvI74KuW2f4pZ5DtJvLtKkiOVXG1Zr/c/bD/PDLtxFZ0KTOVIg2fKK+RmiNqC40CzRaJiiBNiyQFwbeh7JtPJe+g5m74Z888H12OZN8MLJIVChutur0G6+x54NjfLdwCz88e5CMBmNhCTZRgVBp28jOdmr9WWpDdQZ75mlTJc53HXytOVQZ4NmlQSJzGn92/obJsDm//NLrbaXyYImDPaPcFz1NQgqerHZxrNrDo1+9l87na/SUXET1rQFzbSv8qMX47Vv423+0hz3OGHvtZe6InuU/3/tBSt0t9P5dneDcFWS+bVAqnWbpkzso9kr2PPwGP9/2EvvtGaIishaE+evSEF+b2s/wi71s/3qJhX1x5M+s0B1dJqc0celcMgNyo5I1D2tFU6g175P7ItN88eYv8S+szyKctwbv3o34aIVDT+zipW39fPzuo3QJD0cYmMJHRH28mPGes3muNZFIUNnRRn6byW/2vsjHYqdolRajnsf/9/cfpe1QwMCpJcT04jvu3BjU6+jpWaKzrTyR303OKiE3cTfPn1sg/ZRHxrHxn07iqwh9DR/hFmF8Gv9tit27nWnm95oY/UXSEqKyGWxfCRwaiw7xRQGbbYOWq0DbFo2UgVZwrtEG1hw5FayNG84vm3m90cX//nefJXUatr5WRE0uEKwUCaq1DbecTMbjiK52lg60ctMvHefedHM5FDSfN0tBg18/8wucncwRO+IQnwwwKwGqFqAaAVE3IFH3EdW39m+DuMVrW/fw4x6J+4uKh5OvMmi4RIXJ/zL4GCe6O/nT4U/QN9IP80vrllF9nr+wiCiWiE5n+H7xJm6NjNOpFggImPc9Xqj18jsvfApjyqbvu3WsyTmYaY6RLtd/Wekz+Jd3fIud9vS6ZjdumqBNLS25fXCUO9PDtCtj7aJVtOJsJcd4Pk3vqTLqxCh+qbzxB5RXiR+3qXQInFQz5f58RXlXK2oNE9EQmzJoo93GhSyjyalLf2hhEaQiKbZjrcSZLiYItMZHc/FEk4+mpg2mqimSIwHxiTq6sLIplylcTBgGIhal1GVR7hJ8KH2Cu50i3yx38kp5gMQIxF4dbxbUehdV7oOGi5qYJ+ZrppfjTOXS3J4axUz7/GlrN9l4rDmY3ej3mJBoJQgUmMJHCkEpqFPWAUeqN3FouZczUznktEM0L4gsaMplmzGZJW1XcVsDXHxsYeBqA9Vobv29Ge8nAEyDekLgxjUJWUUCBT/KYj1GZM7FGxm7euemFNFcmUcyh6gENuXA5vcy26/Od7+d1dpnMp2CVJxSryC6Lc9new7x6+lzBAT4WlMIfEY9kyNLXbQca+BMl9BvnFvLaLiSqxDJZIimElTaevjRniGKaYed1jxpCS0yQlxBZ6ROTZ/gidSduAkT4xruMnA1CMfGb01SbTVJpAv0xfOrhZoN6tqlGHicrrQxspQlVQ7ePiNkNWsHIRGmcWHWe3VLTa11c4fH9Z6lu0LSsRHtrVTbHXa1D3N36iwx4VHTzQybV5b6SA0HWIfPEpSrBJe4NsK2MRNx4p3bGK9l6TKXMSnQosoYuSrVcgztvDVtf1MQollHKhmn2Cup9Ht8OPsG90fm1wI2Hj417XG80sXZmRyJCYE6NUa0Zyf5hknVN9lYQ6MrI4IA6Wt00GzjKWmxzw7oSSxTVLH39N2qWCM+Hmcp7VDUJq5u4AiwCLBjDdyEiZ+KoNIpgnJ1U9TREobCi0q8KAyY83Sq5qx4RUNsUpB8fRGm5/CvpNin1uh6HVXzWKjFUUITWBrPAR2xkY7TXCK+SZ4z2m1cqC832vzXO94Tq8/aesqk2h7QkyphIvC1pqhrzHvdmCsKs6jfvMTsRqEkgSnQUlPTJq5W+NpDitVMDO1yvNHJS6VBksOQPV5BjkzjbeANKIRlEiQj1DKSh1te46AzTkLaq9mwdSa8COemW7GGHVqPukRPzUO90RwHeV6z5l7DveR7SsZiZKp9GPUkE7UMi7EYvcYyUSG42Vokp4p8MfVx/ISDsbL+SxDP10+0VwJeW+5BotlvT1HTkpNuB8+XtmINO8THNfaJKbyLltcK00Kcz4aUErG6XXg9DXdHz5KVHpIIDa1oNIxmQPgaPl83TQ+y1ir4p12P06EqmBetSVsMIrww0U9jNI5amie4gQI2APntEW76xEnuTA/jXBT9G3dbqBzNkB1pFsK8bukAMbVApFJnopjERdPs5l24Fo5QtKsGUaOBclfT5jY5GY0iujso7Wgl+MVFPtoxzJ3OKOOe5He+9/NkXpe0PZ/HX8q/+63uA59gaRklBM6hrTy2fCv//b1P8/HkUf5g50PEPzhI6lgejp18f07uagl8rKKPnRf83cxe5twkZys55mtxTj0/QGIY+kY9nOllRM1FNFzqAy0sT9q8Vutjos+gXTVoUwbdZp6VHR6+bZB8Obo5d9JyPayyxqhKXG3gCMWeyCjFtMPj6QGcRKI503CVn5+OcEGCfr9XMQiBSiQQmRSjv9BLeajBR289zKeyh9hmLgIRDtclL1UH+f7CTl4700v8DYu+o83MzHebdRcUi4hqla7HFNXjXXzj1i384KFt3NY6zr9qf5qkdAjQtKgSK9s9AtOk90xyc+w8ttrpD7b0cOZzMWRPhd/b9T1usqboUoq6dnm03M2r5T6ef+wW2g55xN6Ye9sdDFUigR7owk84lHqc5pJeDSIAq9ic7Yscn25m62yCgabePciJfxyhvWeJ3+x+kg5V4tV6F0dXM2xaX/fIHJ1qTiJdZvZONxoEhSL2ksvzswMEWvJAZJScavCRrad4PtqPl4psohyTC1QigbtvK/k+h60fO8cjba/yYOzMmzJsnq5Gea3Wx6OH99L+lEHyXJmgVCZxcpnqY1l+vHs3zz/8MtvMBQZNE+MtlftuPHpsivZaA+F38cyHd1CLnmOPVaXf0Pz7vV/jjZ3d/LH9ANHxm+j6YRnjdLP+xmacpPIRmGUNyysE7/L4heszvZIkadW498AbzFUTTFb6SW9JET88gXe5ycDrgGrJQra5M9Jvf+Tb7LSnsYXBqOfxtZXbeHTsVnofb2CP5fHzy+t9uNectgwaMYEf9xm05uhQFZSwqWuXKd/n2eoW/o+//znio4KOHy8hJmevrM7fOhKJOCuDMSqdmkFrjpwyMFBM+hV+a/gznJhuo+NRi9TxRVjIN58Jvt8sEaGD5mYSl8keCqo11PAkccvgeL6do7Fetpl5MlKSlRaWcHFbPYqDMVIV9/IT7ddY9pVFZoMtfGXLVr5z7y4WCzHsV+I4C5oth5eRhXKzHMB5UsGe7VTbIwSGQEvByoCi3BOwZe84HcrHXh1nn6x3ol5NkB4L0Ncwe3pjB21W1+gJy8SNwz7LwxSRC7sAaZ8Zr5XqskNkWSLqly/Se92RqhlJzwo+nTvEoDWHROJrjYvPjJfCmRNE5z10fROvh38nWqPLZQTgNzKUA40pA+yLerkSudbVEz5I178qS0DWk7Bt/JY45XbFp3uP8InEEVJScMa1SZxRtL243HzR/JQdNe02CMoVYtMBgWVQ1wZdhsDM1Ch1xomNOxt/IOH7yHqAWYHRpQxSbGFsOU255JA5Ddk3KpjDs80o++r9ZEVsnBYTWVKUtUlFu6wENRo6joh6uDH1nmsSrBvfx6gFyIakpptp0jlVptNaphGXiGwaqRS6Wm3eHz/5Mr/Ce+b80iQpNYqAmjabv+/9vuWERCTiBOk45W0NPnTTSX6+5UXusqu4KApBjVONfp5bHuToZCfxExapYR9/buGnqhmythvWmWGMM8O06ts4d3MWx/Bw2zXB6gk7wsPM1qgVY2BvoqwJpfBSNpGtK9zeOc59kdG1GfBSUOeNahdH8t0kz2nihycJ3qnzb9vU22LUMwYrA5LAaO7IgAZrRWJUNPZMAlkqEZTZ8HVc3JTNwZvO8qHMSfZYzQyAx90sr6900XLcI/bMSfxy9e37JFqj3Qaq5lOsOMzV4/g0t2AdiswxkUpTtaIb/1l7KbZNucOm3C14uO0In0kMrwVsAjSu9jlZ38IL+S3YUybJsxXMmWU8z0MsFUidjVNP24w2crSoEv3aw1i9EAoNSqMN0JugTsnarp7oZg0eqX7qTI+gUkFPTBPJt7Pgxln2owS6QlzafDxaZK99mG9tu5nxSAu1EzaJqWizb7yRgzZaIwKNCMBFERCs9ts0gQJhmgjDaE5Avd27SCqEbGZ4+baBrwMkmgcyJ1hORvl/uvtQdUXs1GW2dr5OiEgEtyVOLRfwucRRolKhhMFS4HBouZeF2SRt5+bxxydvnDHTeUKgLQM/IsAKSMsa0dVHSE37jLhpXi33kTkO6VNlxMQ0/nJhfY/5CmjLpJEQ+FFNQrhEVnc/LQaKE1PtMBIleTKP/24nW2Vz9BRUKshKg2rDpOBHaFZZEtjCaN6vEY9G3EA7GyisMD1HxvMxajkmelqwFhQdz1cxF8sEZ0fxzj8TV7NCpW1T7ohS7FFoo5mlv7LNY2DbLPfnThFdW+HTYKaeIjKnicx7735i/D3YQFf3zVRLFpGIs3BfNwv7NTv2jqCEwNU+haDB09Ve/v2Jh1ieSdD2jEF0roEuXJt90jcCtXMrpe1pijtcDjjjJKRACYvXGvCfZh7i+dEB+o7UsCaW39XSmM0oqNWRgJq1+KvC7dwbO8U9zoVZ81HP48nKLl6e7KP/dAExu4i/WdfxSoW0TILBLoZ/NkbQX+Pe+EmyyuXb5QGeLw41t3scnX7PMwO6WiX7wizJkRTPPLCVz6deYnvHPMf2WCQmHd5bkvf7LyhXiRybxBmNEp1roRCJk60FtLoBzvg8LBUIyuVmhsauIUrbUsztM+i+Z4LPtYywzaxyqN7Cfxh5iOHJVrq+YRKZqRIs5t/5l29AwXKBxOFphN/Jl+YPstLyGrfZk9wXOcNf//IEJx9sRY53Y+UFVkFjViA24+JMFhHLRbyp6bcP3EiFSiXJf3wHxT7JA70v0WtU+BdjD/LKSB8dZ9/fDDeVjDPzyX5KffDxWw/z+ZbnsfA50lD82fz9vDDdR/1YmtzhgL5lD3s+jyyU8a5SXStV9TDmo8xmEjQuuk5dqsGv7n6BZzsGKT3dQ3Qmy//P3nsHSXZdZ56/e59Lb8v76qpqjwbQ8CQsDQiKIjkURUnUzFDi7Gg0odEf2tiYWGlMaFe7o1knaTUjaSWRI4401EgkJRoR9CIJDzQaaKAN2lZ3+aosk1np3Xvv3v0jqx26ATSA7kZWQ18EAtFVma/yvnz33nO/c873qWJ7i8sK00JGwtQ6LT499jQPRI6Rkq1woawanPFM/vLFuwiftBk4XkLl1tHN1x+PP9bL1M8JQskyEx1rRKwGYbOBITSuMqh4Nvv2bCMym6L3qRLipWOtTGCbEuxe0OB9qeM8GDpFSFhMeoo/Onw/ejrM2HzxfGvKFeLsMBVQ15rpepqlUoyku0krQ1Nxlh5QdA5n2ePMndMHU2ieqNscb/Txez9+hO5nBEPTVczJxXOxilrPEzgGicQwX1+6maV0nG0dz+KI1jMYl4IHd53gQHqAxgthrCPv5EBfHxeKVnYFSizuHCcYDqJPTb0lIsUcHWb9jh6yuwVjgRW6jBKWOJ9ISEmTfzP2bQ73D/D5zMN4gX4SByxoFzvey0DlC0QPLgPd/F3uVki9xF1OlkETtnz2JIcf6SPynSHSB4sYi1n81bVLriETcejuoDYYI3OXRb3f5Te2/YDtziL9RpmSsvjRXds5PtRF80Qc4+T1H+f1Qm1bN8t3OCS3rLUIGwR17fFUZSdHHxsnPUtLMP7doj+2ASOdQsRjrO6MULijzs0jC/QYPhLBjNfke+Wd/P53Pkx4QdL3Qg6xnEVVau/0x74iaNuiGROokIchNA3tsaaa7K9vwXkxTPqoi1h+cxXiRiyGHu1HOSZu1KY0aHNr12FuC00Rla21vJ21xlS5gvAVsabLeLYDo1pDzi5Do9GKV4TAiMcQ0SgrHxyk0iewbl/nzt5ZLOkj0YyHlplwMgyaeSxh8Gzd4c9W7uXJ4xNsO1jGWC3gX0dCvG1JGxEMouJh8tvgfe85zIOJ40gkdZpUNRypDVB5JUk8I0geKyLzlZY41LsEza4I+S0msa51BkznXCYn40V5YWEIPRPGmVlCZVbeMJjedDibWbsgUNG+j1kVHCn1Me4sA+c39ZwKcKg8QC0XRKzOtLRyNkk/86shDAMRDNJIB7G2Fbm5Z5ERs4wFvFIb4Eiul0DOxV9/+8SC9jz8ySnMbJLFYh85FWAovE6+L0gj2t32pI12m+d6Ve1TZ7iwxuHcty8NhGnR6ImQHzORu4r8p/EvkZIttfkVL8qZUz2EZ0ziL8yjVrOblgRV9TpqZo5QMsrxXDcDgWFucxboMwX/fvSbLA4k+ULPe5leS1FdC2IWJF7AQvgRHK0RK9ZrOwMIgbQtRDhEfqvEnaixNzJDSAiOr3XhHA8SXL3G67PjUNwC9kSR98ePsteuc7BpM+128tziMM1X4vQ85xN49PnW/eAKtAHeBKTrY1UE9frFOhxRafLx2MukzDJ/nhgmHAohavX2Jm0sExEK0YxI3hc5ym0OgIVCUdGKVT9KcNqm44iLsZTDe705saEz1Eg53LfrBLdE59kbnCYq63QaTQJCEJc2VeXy6UaIE4keEpNBQhv6P+2aCVaWYLuzyKh5NqNpoubCxM+AkSvjvZnvV4iLjG1cDblmmGrDIrUZHQ6FQEUcekazPNx3nD6zhqRlP+xqn1ONHl4ojpA4Ikl++yiqVr8o8FX1OmopQ2Clh9lsgrjdTTWtiW8cEgLC4APJo0TNOi/F9rZMGNqQ3Ht1EVDSrFLpNpGNMIGFEOotHJq9jij5CYk72KDTLBKVzQtqiSEobB4JNbjdOcT/N/AAlbUAscn2rixp7U3zhDpinCx0cTTUz032Gt2Gw+8OfYP5viD/9MyvEloNE665yMuYAYhYlHpPhMKoSfyuFe5NL/HR8Ek6jCAKh5Jq8sGOY8SsOrOxrbT3HXkbEIJap0V1i8vNqVWsjcolVytm6mkSJzWR+Sa6Vm/LOXMtIUIhvI4otW7BxMAKtybmiIhWRfWqH+RAaYjufZroVBGm5l7fbbXdYEr8AAintaa4+OSVyXwzRWzGJ3x89U3blItQkFpvBC8kqSUl1R7B1vAyQ+Y6FgK1oaLqaoXWolVN3UbPlPY8dKmEKpWQM3NouLiFWxrgOOhoiPw2CG5b5zd2fJdPRi4lhaFVnb7gJTmwNIi9aGMsLqHW89eV/Gxb0gbLRDkmzZTPp9LPM2gWAIdFT/Oj6g6+M7eDvqc8Ais15NxKiznbrNUTbwHrWx2c963xE4OvXPTzM80u1NEo8VnQpUqLsGmjSfSWsNG6IiNhRDhEdXcfbkTSDMtzVudaQmBvjp/rep5t1gpwXvdof20L339pN+EzFiIYaPX7vl3ld1+hm612vOtZdiyH+1l7bw+FrfALE08yHshwyo1ztD7AV39wD5FpQd/MIldzJmjPozYb5fe7Psie2AJ3jpzhdzp/+ir+hXcIQqDv3k1hS5CVuzV333qM9yYn6TM0eQXPNgy+nLmDvh8JwotVdC7f+q43+XySmSz6b7bwzc5O/mrbnYQSNR4YOs1ocJUP9xzB6NEsuzHybojZapJMOcrMsTTd+5KE5+uIfUfOEzdCIINBZDrVylT0CsYenOI9qTOcrPXwW+Vh3JeT9LzgYs+tv67mydWAAHxf8u3cHo7Ucvy3I3dhTAeIn4Lu6QbObO6qzo0rgUTSabiM2GuU+yWhrd04R5rQjuSfNBCWiX/rViY/GsQaL9Ft1IAgVd1kzff54+x9HMgNkjyhCB9bfc22KBmNIhNxmsMdrO0JUdyq+MXkcbbYK4yYZQJC4IhWFlgicYTJLw08yZH0AF9cfYCu4C3EX3kL5dzvEOraws4LgjkfFQthDg6gsrnXJXmNZBI92E12a4D7h1/mzugUISFYVpKpYopqNoSsVzaVGK/R3UX19mHWJyw+2nuIhyLHiEsDD599DYszzQF+7/D70VNhDJY59AAAIABJREFUBiabqFr9NWM3ezFP5Ee9HO0f51fu/xR74gv8SvoZOg2HW5x5AsLlh9vvIHD/LdiTy22nU6J1ywjhLB6KHuX7P7OdpVKYRmYrwn2NLLXgtdtJuxrcP36YidAKu+yVjSrr86G84rw2RThWp9bl4Act2r6pVyuMzDq5R4f4k8FerA/7fDB8jJSEYbPGh9//Ai/ePMhMJUijPnbJ203LIxYuMhQp8o+6X6LPXCcqTdZVnS8Vd3Kk0scPnr2Z8IJk4HRuU82pK4WxY4JGX4zlu+EX73ya28NnMIRgytU8Vt3OE3NjDBwvY2TW8W+0ZO7rYUOjLX93P0v3Q/f4Mv/D4JN0GSXWVJMfVbfwfx7+EO50hImTeUQm+5alBd4pNNNBmrur7OlfIiQ0SmtKyqHgBXEKPnotd8UJfBkKIdMpSrf1kftMhVS4SpfdoCNQ5qHIUfpMD0dY1LXHF4tbOVAcJngsQOp4FWOlcN1jrLcMrdClMjLg4EV9RpLrpIzXJ7b2OnP86vbH+ErsNhaWRwhnFInnF9GlMv564ZoXBLQtaaMNibINZMzlgWAVuXEIz6kAL5eGyC3G6d53Gj+bu+YHgXZEtU/w7yZ+yHZ76VyWRaFYaiaIzEBszkVfA1HR6w4hWj3KlomIhFHpGLkdFvW0ppnywd7YeiV8ZuQwDwVXCQjrokucqXUSOWURXlJox0ZcjR54z4eaRDTd1uZ3nc7xXmeM3B5NaKzAp+MvEhDwveoWns1voXufInZoFZVZubp/VCkCy5KX5wZ44OaT/Exknv8Y39zEBQBCUhwNsroXHrj9KJ8ffHzjFwFWVY3D9UFOZjqZeGoGf3UNf7PPpQ34a1k6H1UQj7B+RzfV7jgHHh4g2lvn04l93GRbl7znX3bcxxO1Pfh2kMQLBnpjYxKGgXAcVDrG2h0+3cM5fmPoW+y2G/za/MPsXxwifkoRenn2TWd53hI0KF/ySq6HE7KL6LNBul4oY86s4C1l3pFgwhCCuLDpMYo0UppKj0XgTHvmeYVhIGyb0nCABx86xB2xKVJGK1Pb0IqMH+LJzBjLc0m2TVXwzky/9rVCQfyOOIXxIKV7q0z0rLI3MEuP4ROX56tDz8ISBh8Lr/Oh0AqP7tzNWiONk4tgvfIaf6DN4GoTqwJ20ccP2SBiiGr1dck5EQlTHYhS7RW8P3GUXXaGgDBwtWC9HMIoGbDZhPPjUbK7LMqjHg9Fj3KzXSa0IfJ5uL6Fl0tDyGMR0kd8ArP51y0t12s5uvaFqAxHeKVrkMW+GD+T2E+vYTBqakJikeqgx/pEgK61KCxcx3G+CZx19bzZbvL57V+kpC1ONXuoq0vXWkOc/779y6i3j9kr3BNobMyf4Llrn/2/RJ7T00qGaszFI/gBYxOQNhqVzdH34wjlsTjP3zPKTmeBTidPUgb4nd7noPe5N3lRi2Xf44dr2zm+3EXPMxA/0dL7u+EgBI2+GLltDr3bMvybjsNAq5p01Q/z9Po4lUwYOTWJtxmNFN4GhGGAYVAYM/jJe/Zzb+wknwjnKKg6i77JC6VR5IEoHXMKMbO4KTRsXo1mzOS24SnujE8TFnLDNdei4juYZffKnNc2IIIB/I44+S0mX9r7ebZarTp1dY7qbP27qhQ/zm7j4NwAnVMK60wGVWzfNsxLoDWqWkVUw+AoRsJZEkYVXme1HLccxuOzpMwyv37bJ6nNOkTPxDC0RhTL52Lja4X2Im2EwOzuQsciLH6om8Iujw9vO4REnuub+3F5J489tofUadD1zcWEvm0IgXrvzRTGg4jdRW5yFuiUHpIQRVVnxjM4UewmlPWx1xubn7BhQ1shEUcNdzP5iSjNTo/B4SXGgmU6A2Uc2RqjFJqHIscICPOSw8CHEod55ZFecpUQxx5KgHobpI0SCFdgViTBJUE4o4h/+xW4TnJKbtwmOp7n9p45wlJwuBnjf336YwRmbUZO5yGXv3btcKIVCBqbQPjxDbGhDVTtkcTGcuyMXJyh/XZ5F7//xMPETpro2swN1futfb8l3q18EkcDROYD5GqdfCvZxVeT9+CHFXZXla54mR3JDLdGZnGkR+cdyyymOrFqt4IG3xE0o4LCBHgJj1u3T5F2qvzbyZ8iVw3ivZgkvKBJHC22nAqaV0c75jXHVa7Q95RH7WgILxDCFdD5ShVzIXddnB9ksUZkLko2HcDXnNPvOLseOcLF7XIpD9okw+1J2pzN0GsJCatKwqhg0NKSW/RMDtRGKT3VRd+kwljMXkSCCcdB2Dbe3nGyOwL4jsAPQmXE4yMTx9gRXqRTeoQ21uiyavBkvYOcH6GiWkmZB0Mn6TM0H+w/zhPmOMWZbjocZ1NYgSdkldKoQtk2ymgFtd37gwSm4+iAg3YM/IiNGzofdq1ssSjcVWe0b5nt9jIp6SOxyaog/okoyUmQhfKmqgrw0hGat5W5rW+RQbOIJQzWVZ1pz+Z3D3wA63SQ7hc9QlNFyL2+eLVqNDCWc4SVIv1CktJwioWdcW6iiiUMLAEi6ONGTZTdXuHs5WBhkDZcwrpBwFnAvQwpY1yQAfIvoxeRkk3kFTT3uFozN9VJ+iUDJ1PcFM+QbjYxVtaJAC99bwfP9kwQ7SvRGanwj3oPckfwzCXvsYRPSHhEpaLbOH9fqrrJsabNc7XdHHlhlPC8JHa6iFzO4bdjlePbgDBNhG1THLIp7PS5PbmMRNDQHmXt8lfZ+zn4rR30TKtWW9S7CULgPnAzue0O6vYiH0ocZsRcB2wONBL80cL7OHh6kJGXXJzl6qaV2TBrimOr3QQNl3rsEFFpMmgW2RrK8OL4raQqOxBTC69L3shwGJmIU7mln7kPGsS3ZEnJS/ddV/scaVqcbA5z8NkJ0oc08WOFlnvzNY7zrgm0QpZMjhV6yCUiwBuvD7vsDJ+86SVeGerleGyIYCbG0DfDyKUVVKF4zc7f7bXLCYnqTlHvjVC7t8znb/9LRswCbGxQhpA8lxtl6HtNnOXypitfe9sQkrWbQ1TuK/PpiZfYYVlIbAwhKWnFK81B5opx0qtNjGwJ/wY4aArLhESU0pYIv/zx7/GJ6CG6DRtLvJb156VB0MPBCg/v+NpV+TwFVWfZlzxdG+PPZ+4mc7yL5OOh60baNGMGHxl+hdvDU4SEwfFGH73fN4mfyMOpmWvXg3vOtWMzhH5vjLMVBfVOzccHT3BzYPai3z+2to3hRzWBxdZGtNlboi7CRnaBahWyOSTQ+awJhoEMBsCyqdw9Sn4syve3dzI53sktyXl+e+tX+fPEvTxe242WoKI+sc4y/2XPX9FvlFn1g7zS6OfxH+4hcRI6ns7gn55BK/+6FKKpSgXnW/svaIxs4XpR16JYJjYdp9wfwN2YMGeJG4CwVKS6iqxXk/hRp33l+5RCS0HSrBKTrQDW1YqMn+RQeYD+xyqIZw5ecl+l4yDCIVb2Bol8KIOvJL6S3NO5wP/Y9UOiUpCU5w9VJa34bn4P89UExUYAITT9I+t0Gsv84+Q+Hokf4l8M/gpdjoMCdKO997OobBIfyVOIh0mmS1iGIlfpIq1SNBMmzbCknhI0UuffI3aW+PodnyMlPToNBzaqZle9GIkTkDpUQG2yrG8zafPPdj7GQ5GjDBgWhhCsepqjjX7iTwfofrJloXslumu60cBbyiDX83Q1PIK5NAs/nYJgdUPbRmAGXNxwixRrd5ytuosD3a/xcS/Up1GX2W+vhLABqGsIT5l07sshlq5y9e01gvY8vMwyYj3P6N9qvESQ3PYEyx1JvvSQiT946aqZMKokjCqDZo5OQ50jyUvKZ39tCz9a2073c5rYyXU4M4/XxoLMbxXCthHBAJU+wdDWZe6ITWEIiat98gqeWRhl5K8X0esF/NrmENa9ahCSldsc4u/L8M+H9vNwsMLZSpGD9SEOHR4hftIg8PRh1CZ+NsyaR3ElwulgB25fq3J1wJDsdBYoDQvMepzEWgFeh7QRkTB+V5K1myz+/SN/w3Z7ibi81PHS1YoX6yO8UByh92mf4Dee39wnA19hFQUL63GyA1dG2my1bH67+wXWOmp8r3cLj67uYfXIFsKNZkuz8N1A2ggpaKZDlHtNktF1ErJ2zrq5rBuUfJ98PUjQVeB6LSvadwmEaSIch0YSxrvXGLKzADS0h6t9vlS8mT/a9xCh0zbmSqalDH8D3B/teoh8ifB8lP/8zPv58667mEiv0hUo80jiEGNWlj5DE5GvPqq9PSz5NfLKpKRsKsoh50fIeHFeKIzwwvwgjVyQyGmTzkWFuowo3tWG0ZFG93VSHJLsCc0SEg2+Wh7gOyu7Ca00kWsF/GvJcG88Sn47F1lvVM9gWchwqGVbfZbYdZzzbXGmSfmWfiq9BuEd67w3eoouo8y68nihkeKHxZ0cPDnE9oUKcr2E9xbnkZFOQTqJigZopoPY2RocPNGWFXBaaQR+q3rR9QjNljAaYZx1i5UzA3x1axe1m20aymTs1nkMqYjZdaJmg2crE+S8MF8/uYdmNkDvQU1kvg750tvXjtpE0NUa9mIBpxA4l0FXF9BVFrCrI8PLvoEXDnFpY0SbQEqUASmzTEJWkUgq2uNovZ8zpTSWqy5LwolYFJWKUu3WfKrvKL6WKARbAxmisjX35r0ay36QvyvcyvFSN4f2jWNWBY3+JoF4g7wfwkIQlz6WqKDN9t7DDNQ5Yi4lfT48dJSl7jj9gTyW8Pmbh2zO7IwgAh7S9gkGm3QEz2dyb++cJSU9ohu2qjm/weO1Qb6+diuhFW9jXd8c2hNGRxp/vJ/8uMWAnSMhmxjCpqSafK14G89ktxBaUcj1IuoGPziKSp1ANoxctzjYDNJvlBkw3zhGeXWV8FtBQ7scaVocamzFLmpk+bU1g9oV2m3Zvlu1BkkpcJdMsn4Pf9j54UteK4aqfGD8BLdFptlhzeLiklMeP6iM87uPf4jQvMngVBGZLW6aufSmIA38WyaoDARp7KjxcM8xxuxlCqrGXxS281/P3IX3cgJdWr0hNPmuGEJgjg7jdUQpj3h8vOcU251WRfWk2+BAY5CvzOyl4wVJZL6x6Q1bjHKTwEKQxXCCum7tt4YQDJoF4u9ZZmkswfrWEZz8CME1hVW+NDYr9xmURsHeVmC7vUS3UcMSwXN7nKt9Jl3BSbeX33nhg1gzDqOzxeulDnHt4PsE1gTFhQifj9/LoY4Z7o8e52Z7jYPNDg5Wh2lok7qy2BrI8MHwJCEhCAkLSwi220uUUkF+7wPjhHf00LMvjrVYQGdWrzoR2FakDUJS7bYoDwluiq2Tki1nCYUi5/uc8eLkq0HCDQ+xyTahtwvhOIhImHqXz8e6D3JTYA4FVLVLTsGXp29j6+eamCtreNNzbV9KfqXQbhN/dRWz0WD8v43RSEU5sS3JoZQmd1+ID6aO8mBokshV5hLOuDFONntYaCbJNGJMFjtZyMXRJyIM/LiJvVZEn5hCN5uo67EJdneQ3ZukPO5xX2CBGS/I7yx8iJOne9k5vYI3fx2a+Tc2Ar9NN31hmYhoFBEK4HfGQWtksdaqLImH0MbGQdoxmfuwYOeuaf55/5N8NFQkqzyWfcmX1u7k8ed3kjoi4fgZvLcS5Jwlh7rSlLanqPRIiuOa6Ok4PcfstiRtUD5aXeDUc/AYlhAkgaSQVD5xO99zdnDb6Cxf3vYVAsKkrj2ONW3+l+mPMbnUxeBfGASnsuiFDKpabdvn5FrBLxahWCR4ayd1bfBqaiMkDT6efpmBQJ4n4ve0J2kjJEIItAk9VoGUUccQNlUtOFAcYj6bYEvTvWyQpuMR6n1RxEiFf50+fO7nrYNogHVV54wX56nyNv5q390EF0y2fnkFUakx+3PDVEYM8jtDWELSKVt3R1mAYbQ+0/UY/5uEgcYQBmhFhxHkN7tevOj3v95xELh4zbywvbTV+h069+9l3+IL8+/l5Gw3O6bWr8+6fpWgezpZek+E0jaXCTtDt9EaXU7B307dQmEmztbpctuJBV8TFMoE5ywCqx08Vd7G7uAcvUb+urQW17XP90p7eTE/RCCn0cXS5qtKV/4550c5NYMD9H338kFe6VN38NinxmkMmPxsdJqq9jnjxvja8q3s+MMCanIa3Wzi3aD7kbQtlm4PU7i5yS/etI9fSx2moJos+4L/euYu7P+eIjVX3dSuqW8FwjCo7Ogkv8Vi2/YZ/lXqWULSoNUWNcjnZ++lcKCDLV85hKpWW0m+TQxjvULiVJS1YICSsvC1xhEmWy2Dx/b8NVXl8qP39HCm2ckXJ++kuBy55Bpbxhb4rZHv028U2GFLJMFz0iQSQV37PFfbyhPrWxn8ikn42ZOowuatTjoL7XlEFnzQBguVPr4S62HpthiJ7sf4q5W7eWZyC7opEQ2D9PA6IztW6TQqDBoeAWFwmwPj1lFSj5TZXx7l78WdJE/axOrNG5S0kQbmYB8qGSW3U2DsKHJbfJawFFgbts4/qG7lc6fvxT0aw1hfRldr754srhCIgV7czgiyo8EWe4W0bAAOBaU55XZQKAXpzJXRpcoNeV90s4m1UsKoOmgZoRGX7OseJdMfo2dLniHz0rYghaKuPZTWuGgqSrOqHFxtUFJB8n6IJ4rbyDeDNNUFJclacCrbSaUYQFdNjKrEqArskiC8oHCWy4hCGe86OnNpU+IFAEthCEFF26xWwsiK0RJFvkYQjoOMRqj1+dw9NEu/tU5ONRFttPcLx0GGQujhXlZui+OFBfV0S4LHLMcB8CKgNrL22oTRbQvcl55k0MwBJoueyaFGP6cLHVjFjeBw6wjGWRFQz0fUWoGvDtggJUhxkaermwrhhU38oMS3JaVBSXnYB6nQhkbZ8lIP2HbFhk2zsWWI5mCS3A6DXUNL3BafJSBMCqrJgY2qpMkXhwgtCQJLOSiUWj3NmzwAejsQrxr62RYHA8GglSUbiPCY2b7PgdYa4UPWi5A31xnQmryyeWW1B3cliKhfXFkoLBthmTS7wpT7TOKRwmUrBo67YX576iPMrSaJnDGxC5rKRAplCcrbXPoHs0w4mYveq9v3NiGUJuPHWfOXiUp7g4C5eNxnA15TcAmJ92qc/b1CvD3dtesNaSADDo2+CKXdTUYGV0nLBq4WvOQq9te2Uz6RJDHVOli8acpaGohgED/ZsqC3RRuS3q+CrteRxQrxMyk+9/x9DA+tkR7/Kj1Gld7Xbe8+/8xcqIf1Zl7jas18Pcl8IU60otCNJmzmVvmze4m+eAzCNBGmiRsS9CaKDATXkUhWfc23CjczudLBWK3UqjK6EfcjaWD296JSUUqjim2jS+wILmAIQV5Jzngp8vkwW+bqWCsl/BvwXPBakOEwMhohu8uielONT6SnCAhJQfnMKJdvrt3M/Et9JE9zw8QrulIlMtegngjyR8vvY29shg+Gj5OQEJc2jjAZsdYIywbv7e/kTCx9yTVuT80yaOZJSO+SNkyFpqo1hyqDnMh1kix76Fr9htB71K5HeKGGWXcIrBu4Ycmz1V080z+GWAgQXRRID6SrqWQ6+BfrnyEYbjKeXmMonOOfpZ8iJGHQylIJOTzaqagUJZFUFJmPomu1q5asbQvSRtoWpVt6KQ2a3Pa+Y/yHgW+SkJLQBb10fzb1HoKfS5BeKKGmZtszW32NIEyL0s40+XGDvUMnuDdQwRCtUts5L8ZjxR14qwH0wiTqWmmavMNQ9TqcPA1CEj4oiEbCmLUdZIf7+NHP7uTh4P5L3lPXHjnfp6oN8irAgpfkmdIEJTfAUi3GQiEOP04SzCqMhuasaYPQ0LtUx8wWEMVySw1dqRYTrzS+t9GGdB0Xem2buBGBEWg1KJVUkPXVKMGshGs1F4RAxmLodIKJnQv86fB3WPR95r0gstk+hwoZCaP7u8jcm+B9n32Om8LzvC90Bl/D4WYXwDlrVGipHgWEgSWMc/oBhxr9fH3lVuYWUyQyAmXCyj3Jc21hRhNCq637XEuZKAu0cf5QqSUUtmpkT52uVJHBaJ4Hkyf46ehJvlDYw58cug8v2BbL7RVBGAbCNFm/s5vM/Ypbd57iD0e+RkgamDhMezZ/ung/L00Os+NPMqi5RdQmEIt9J2EJg92WJixO81+c9pk/F0Er8H2Mpmaq0UnaLLPTWiPjpSifSBKfFojKxa0tMhJGhEMURh3Wd2nuTl1eP+P7xZvIf6Wf7lVFeK6EF7GY+4BDs9flN9/zd3wodIa4PH+gvZyeRztBupoT9V76zHW2WR4hcWnvf+tQLV6XsFFvIDzb7pDBADIRZ33C5vfu+wu2WSsMmA7LfoOvrN/Jk5kxhr7bxDk8++ZdWTYIIREJU+0NUusURGX7C4WqUglVLpP4fpXEgSSZ9/fy1V+6nb2RGT4eXgAuT9pIBMZGohKtLvvcvNFrXODoejfrSzE61q9+prddIIJBZCRMvUPw093H2B2cwxCC481uvnb8ZszJIFRXbtg9SdoWlZs2zk13nOT/GfoGUSEBizkvzrPlCYy5AMb+AxsOp5ufmLgiSAPZmcbripN8/xI/3PlFQsLAEQ6HGwbPViZ4/sAE2/88h8iX8LxNKJx7GfjLK8jVLD3FrTw5eBM/7t+KdYfPLmeenVadkLTYYWl2WCXu6f0xqkcjL0giKq2xhNzYf1uOkRc60QHklclTC6OUZ2N0ZQs3zHlTu014/hUCUhAQrYRsl2G0kpdaX0RMCSFa1b993SzfPsrJLWMkf6bKPeFJbndy9Bsn+YPxAnkrTmw2QriURq/l3pR71+vhHT1FCNPE6OxAJ6KUBk3KA5ot4TVShoGrFQXV5Iwb4GSzm+XFBNsWaxi5Mt4NwOxdKWQohIhGKI4YlLe67IouYQhBSTUpKM13infwtWO3EJkxXp/IkgZmVwc4Nmo12xIi3WzQGvRGG0fTxXA10gVXXz4AWvYVB+qDHKv38dTqGOvVIPlcBN2UyKqBWRZ0z3jYeQ/Z9BEXaJeYK0V0qYKqVNriXmlBSwx4I42f9SKYqxaBrEZfo0obYVro7jSNvgg9gRUcYXHGjXO4PoD5zt+S80jGKY/FqfRpbg7Pst1Zottw8LWmbq0B0Gu0Mg2vhR6zwPboMmt9EeZqnYhXpfiFKygWWi0bblS1tDYueOy01CT7C2xJZhkI5RkJrLHdWSIqbSzhozzJZUT42w4yHEYEHLytg9R6A2T3CAZHV+kJltjX6KHHKDBu1cj7CZrKBE8g6s1Wr/w/4A1hCIFEt20FiVa61d+d9fnKiVs52d/Fe4b/Dlv4+EGFHzTAuCCzLwR0JHE7opSHBKGxPDdFL27paWiXvPJYbsQwa6AMyO6O0IwL9FiZ8c51JuzMRYTNuqqTVy2yFN9vy9J1u+Dyxck7eKlrkF/sfpo+s8CwqQlsrDNnKyAUmoZ2qWufZV+S8SPk/TBZP8KYvcy9gfpV0TJ5pyBjUdyRLupp6DPXSRsaEwNXw1ozQqnmEKt56Gr1TWdlpW0hU0ncgTRrewzqg016zJbjVFHVWfQN3HyASFYjq832ovm0RtdqiHVJdKGDrx+9mR/FtvKdzgzdTpH3RCeJyhph2TjnGCWFz4RZJ2mcb5lbV3WyvqChDeraRAofAw8DjSN8AkLRZzoXPUNKi1bQ0Ibz5mpBJuJ4/Skaac2os0KPUQQEq14UFoIElwXavTEO5K+GsGxENEp+3KI4ptgVXSIqJC6anN/ge4W7eHRyN+F50dJquYGfg1dDWCaNkQ7K/Tbj0TmSMkBB1Vn1Pb66/iDfPb2DyJSByJfQlRvMZEL5yEKF2GSCWinAf44+SH+8wPu7jtNn5UkbZawLKhVbunOS441eztQ6SVsVeu08Y/Yy9zg1NvKcKBRV5ZLx4pSWooQXDER188Z8MhRCjA6ibBPh+wjXR88uXkRCvdZTcfbnxnqByHwcbTh86cReXuwa4jeGvkVCNtjZucwxYH0iiRZdRI6o1xWAfjN4R0kbGQpRumuIco9B5b0Vbupf5P7IcQLCZNlvsuoH+b2Fh3nx+Cjp50w4dBjvRi11vBykgezpwu2OwwPrfOGmL7HFKgIOk26A/bUtfHnfnWz/4zJyfa3VrvNalwo4lG8fphGXpJ+RqKmZ6zeOdwjP1Yb5/Mx9LBztZsvXG3SVm/SuZ1si1rUaeB663jhXQXMhPN9vZZ3b7VnTAgWcrnfRcUgTnam3Np5rABFwyO9JUByW3BdZwdU+f5u9nSemx0hl2ic8ro2lWfgADIxneCQ8Q1zamBiYAsat1iFQvkEG+4FglbsC+/i1jmepbL/0O1dASbVIm6h0L3vECgiwRKul02jJ+lJVmjU3iq6YGDXa73m6EEIg+nvwOqOc+qc2n7nnKe4Mn+YOJ8t/L+7it459hK3pVX6p53Gm3c7WweAfcGNB+eiGT+iFaYaL/Ry7Zxtz/8oiIasEeitUGxG0c76iRJgWle0d5MdMRh+Y5k/Hvrwhqnv+Nau+x776IKcKnZh1TS0tGfj0FHcmp/lY7GV6DJ+IsC5qGXm5keBIfRCrKFrJiDYU1TdPzNH1ByNMjm7jtz8V546OGX6l4wkGzEvDqpzyWPVtvla4jSeWx8msR/EzIXq2r/Dt3X952SqdzQJvuIvF+0L4OyqMmE3SGw5hdW0wW05SLQQxSuW3lJUV0Sj1bT2s7Xb4jU9/mQdD03QbDh5w2A1xuD5I9JRJ54slxHLuKo/s7UPV69BoEH5Kse1MFypgkolu4XSfzdd/4mbSyTIdoQoBo0Uu2IbPv+x5jPsCHgqNQvFyI8ET5e3k3DCZWhQAKTQhs8lAIE+/s87PRo8TlwEAfA1ai9c+ddwgaIx1sbI3QGD7Oh8KZQgIE4nkSGWA3mcU4blKy/nxRoM0kKkEqq+T4IeX+T8mHmWnnSUkHSZdjwUvxlf33874X7pYmcy7TltOBgMsvjdAc2eNX0oeB+CEG+SVxgCPPnY7418sYeTm8JYFDQ7EAAAgAElEQVSWb0gpCW92gc6/ziIiYdQPuql39PGnDwzhdbgkOstEA+fJlppr0fAMGkcSpA9ryv2S8ojPwLYVvrHzL8/tya72mfMlz1fH6HrWIHmsBCvZd2qIbxuyu5Mzn0zjxhVGVWBVBENf03Bi8oqv4WdzGM+VSB2LEp0eZHXLCH/xq+/lE6kD/NbAN2EAfjn880xPdzHidmFPz77xRa8A7xhpIywbEQ5R7jWo9MNwV46dsQxdRhmQZPwwxxt9HFvpJnTGIrzsvXsYYyEwolFEKEh1ooNqt8VYapEtVpH4hsuEJXxCsoEI+DQ6ghhRB6MzjpYC5Vz6tbpBg+wuEy+siSykcWp1VL7QCipuUCx7cZaycZw1ibVYQJSrrU3cdTf9uH0k0tXIpg/qGmw8QiBsi2q3pNbnEzHqFFSTI7ke1EwYZ7192hO1KdABn5hTxxES84ISmDcia87CxCAiDCIC0q+R9G7o1pgdEbro52XdoKEVJaWpK8mCF2PVj5H3QxS8EN+b30Fw3iS4pq7Nd3WVIEyL2miS4rBFqj/LneHTVJTDdyvDfCezm8JkkiOeSbYzwpobJVOKtjSV3g1r8pVCGmjJucw5nK+4cLXPmmoy46WRXpvfs0YDc62MVQ7iI4jKJkOpdU43TfJ7Owl3xwBQliS706Q64HNTYpFu41I7YkNA1KjRFy5wcKyPZlxzZ3KaW0PTDBqKyMZh8ywUisdKO/hxZoLA2kZpchsG17pWx1kqEbXizEx2sVKIUPYdBgPrJM0KlvAp+EGqvsNqM0quGeLQch/VxQhWXhJZFWTS8ZaQ/cYyVdE2i/kYRt7cNGYL2pD4NpiWj3XBelvRJplCFGPdRLwVZ0MhEJEQpUGbWq9ml7NI/0YFSlHVeaq8mxfyQzg5jZGvnncKbDdojapWkSs5DNNAhoMIL05+MkQ27rAaSoBxtg9XY0uPk4nJc6T4E+tbObLaQ71m41Y25MsFGAGf7nSB0ViOj0aOEW2vOqNrDjdiUu/U9IerBIRJSTWZ90wmSx0Eck1koYpqQ7L37UCYJjIUwt3eT7nfYXtylgkru9EWBa80e9hXGsNZNrGWsy0Hx3cLpIGRjENHinqvz0TPKj1WHlf7PFXZxfeXdxBakBgr6+hS+YZtm0P5qEoF0XQxbJtgI0J0OkmjYFPKJygEzs8J4QqkK4hPQ2SuhhcIUeuR1L2Lz5A55fH35T08uTpOMOsh18ubU6JECKTjoGIh6n0egXSNZsOkWbZo9Mdxcp2oYvHKKse1RrtNdLmClSkQjFrMVZIsRJPstrOEhaQ7VGIhGkfZgTe+3hXiHSFthGlipJN4g52U7qtxz+gZfqHraXZaBaLSxNeaH5Z28f3F7ViPxen78iS6Wrs+Lj1tABkM4t20hWqPw8JP+IyPzPOLvU/TIe1z7gN9RpNQ8Ayf3HOAr332FgzTJxx0iQfr7E3NYcqLN/CAdLk1NIOvJb/u/GM6ekdJvrja0om5QfFSYQj7cIjEpI9eyODXG+1ZPfNmIPS1L6QXAhkKQSpB7c4Kn9x2iG6zwDP1PvLPdjP+jXVEJku7bHlaCITpY4prG7Rerr1KoTnYDDLnptlfHmW2kuSlyWGCp22sMjgFTWTJpevgaXS9jt+uZKE0kJEw05+QfOaeJ7gzfJoJK8svHP0Mpce7iZ9RbN+/xOKH+3llbICD+QEqh1PE51pW1/+AViJChoN4jkCKS7VMGtrjb4p7eC4/ilNs7wOWbjaR5SpGA5SWjFoG/2nsy+RGAjx+03ZyXhhodb7vCi3QY+aZsArApaRNt+EQD6yzfeCbvPjZA4Rlg732GiFpEBKX2iDXtceXHn8PI3/nEphabDm4tSFUtYo4NU1gzmHHyTQ66HC6awcnggbFIRMvJIgsKJy81yLYXcXgeg2Zn29VeXoe8+Y26g8ozvp4nGr0IJ+L0z3towtXp5z6ncKcm0YdipOe0ohi+c29WQiEbdMYTpN/pMLuviW6jSZg4uGz6As+t+9+IqcsBl7Ko6bm0G2sTaEbjZZ7Dy29MHNxmS2TUTCMlqj9WZgGp+/YycHe3ecEzSOLPr3zNWS5gSzlzlWd+T1J1m7pZt94N4uf+iHdRnuvKVcb5T6D+E1Z7u9qZcdfaKT4f2c/wMkjA+yYnENlcy2tihsF0kDGY+jBHk5/VrJndIrPdj1Jr9E6F7ja5w+m3kfmxR5693utOfFukpIIh6jeNUZpwOSRu17if+r6e0ICcgr++JkHGfy2YGAye8NW2Lwa2m3iL2VgxaBnYQU2hLsvMsPQuqXXWW+gazWCqT2sBQQB82JC5kCjhz/8+4cJz0oGX5nHX8i09Xr7WpDBIGKgl+JEjJ+6Yz8fih8mbVSYdjv4t8v/hM7EFmIvZfBm5q/4rKjqdcTMAiHL5MR8N98xd3NbYIaopeiwK8QjdXz70rjoreKdIW0cB3+gk8pQiIHODHtjs4yYBVKGQ0E1KSmPg/kBMvMpelcU/vLlhQ1vSEgDEQxQ6XMo9xn09K1xV3qaIXMd64JDY0BIolKxPbjE9v4eQmaTnkCRHrvIvZETBMTFE8pAM2i6lJTGDyqUKS/WJriBoFC42me1HiG4ognkPFS9cUMx65bwUZZA2QaGvLrfo7BtRH8PjcEEfeksu0ILzDfTrLhRgqsauZxDld5kEH4NoWxBINwkZtdwtcLbsLbytaaqXapac7SZpqgCKH3xvUoYVUKyQUC42Cgq2qKkgjS1QVVdeqB8NZra4PnSGJl6lFPZTsrlAMEpm9i0wi4rnLyLlSnhLa+0LVkoTBOjtwe/I064q8J7wyfJqxBPVsfILCTpnVKEFuvoag3paRzh4WmJVRLYZfWuCICuBCLgQEeqJRh+md4EH81CI8FiOY7ltuezcBZaa3TTxappnquNYYmTbDEF3UaTkDxM/QIdsR6jQVRInNdo8ZFIQsKm1/C5L9ByN4lL5xIdF4Vi0vWY9pIEliWB6Sw638bExdlMm+eim02EaeIUEthBB+Gn8MIG4ZkyRrbUcvjzfVS5gndWGFaIVsvkBahrC6ussUtqczv+sDGWEjgF/42zshtudTIcQoZD4NjoUIDygM2WrmV2xjIYtCpsjroBDtTGcRYtIvMKmS/jbYbD+Ub8oZWPdpuX18qTBtGOGGZtI8jXEFyqYCysoSrV888OYGqNMxLCrBg0MeCsS52AsN2EgL8RHxibP1l1Ac65RkUFO5Nr9Nst16iKcsjVQhhViW40UG+luqtdIQ1kMNCqIukJ09eT5f70KfqNMoZwKKkmJaXJ5GKEFwROrnF5wkqIlsmA4yA702jTAMsEX6Hnl9pCv/FNY6N6QsZjlAZMykOwI7TEgOkw4zVZ9KJYWZPwdB6Rzd9Q54A3gvY88Dz8N0h8yHAYmYjTiEtEqkFPuIgUgqpusub7HKntIrQgiSwodLmyucnQjXXQlIqYrLPF9EjIRRoDTfJlm0A2he16qPX8Fbf0arfZkt3wJZ4y8BEYCGJmjVigTt24elIC7wxp09/Dic+EiQ4V+d9GfsBeZ4WENHG1zzfLY7xUHubkD8aY+GEFaz775i0iNymEaSKTSdRQF0sf8dg9OsMv9z/GTfYaKXnxVxWSFiHg45HT3Bc6jUGrAsMSbGgKXIqq0mSVQ2DVIDZbQxRvwH5fYNVvsOzbTE51s/P7c+hyBf9GWag3NG1SZoVKr0S6DvFXLLiKe63R1cmpz3bBSJXfGn6cm5xFPrb/IwSOBul/uYK/lm2rDE61Q/LzW19g1Fll0Tcw/NaKUVI2+2sT7C8O89JXd7cCfO+8SxgCCiMG9S6NF/Mxoi561SG0ILHKmuCa4o2Kd4QGq+xjNHx6y01krYKorKGr9VZw4LZ3W6ewbGQqwfQ/GaK6tcFnxp4jbVT41f0/T3BfmNGjTQIHTqH7uyjfM0Jhm+YnYweZqnWwktGEl9yWZeY/AIb7WXwoRWG3S0j4l7i6VLVm3+oIC7NpJkrtfc90s4nKF4gfL/JH3/gwfzDyIH9zz5+ww5ZsMX38jV3ZQCCxNwSWX588toRBymgRoZd7bUk1+czhz1I4kWJofwO1mNkcJdhao5vNjf9ckILgahYMA11v4J+dH1qdWzeFZSODAZR9Vpy6VZWltMRogFH321LH580g74eILCjC06U3rMaToRAiEqaxe5CVWx2acU2zz6Wnb5X/MPo1ErJJThm83Bjg3/34kwTnTEa+X0JOZ968I1U7Q/mIo2cIT54nQHWzid9otETCrwAhIXi4+xj7nSoLveMkO9PoQnHTt4SfhdHdhUrHKE14/Gb/oySkAoK42qDumkiPlqPmDRLzCdNExmPQ3cHi+zuoDGj+9fBzfDR8kri08bXmqXo3B6tDWIfD9DyeQ6zmLlsJLR0H2d1Jc6SD0z/lQLJJR7pEqRpi6P8eg+cPX/fxvV3IYBC2jlAaiRD8qWV+pv8wPxF5BVebfC57L8+sjJI8Dpyaablo/QMugXvnNlb2BmjcWeYLd/wFPUaFkAjwYgP+r/lHePnMENt+kEfML+Pn8u/0x33LULUaYnaBSDzEo2d2sdYf4X/u/R4Dhs0XHvwzTr+ni/99208SOTFM35NpeO7QG190oyoUx8YJN+kLFQgJD4nJ3ZFJIkaDr0b7z1XTvl1cX9JmY3AqFiQ0UObO3lkmrDU6NwI5V/ssu3Fmq0mCqxpzcvGGsRR7QwiBCAbR/Z1UB8MM9a3wYPok2601ei+jE3A26E3KIB3Gec2Ey+Fs5UlVQ86PYNTAKN64ji+uhro2wZWofAFd3/zjFBrEBckyR7q4UWhGJFj2OWu6t3bxVqZC2DYiFsUd6kAN19jTv4glfBa8GHIpQHxKYWbL+G12kJIerLkRfC1bzhEbKHghDhb6ObnWRfqYR/j0OqLhnteVEQKz1kWpaNJMmDTjBsGMID7lYRdc7PncG99TrVsEjdtEVWr4mykDIUQrexeLUB302DGyhCM8jjd7UYtBkidcAtPr+GtZZH8X1Q4DP+6Skh5StCqJzIrb1jo91xM6aNFIgxVrYl2QWDlrXe1qKNQCyLKBcNv8AKU12nMxChViU3GKMsihvf1E5fSGE9vlEwNvhIscbmg5RNa1ZtW3mfO6yc0lSJyROGs1VKPRtmTn/8/enUfZdd2Fnv/uM917z51rujWXZsmyLM+Wp4zOBIRMOITwgH486IaG91YCPGhIw3r9hsV78F4DTa9e0JCkIQx5gRDyyEwcO47jUZZsS7JmlUo1z7fqzsM5Z/cftyRLtkqWHEv3VtXvs5aWraqr0j5be5+zz2/v/duvsVLO8zOQrzezqWwL5UZYyW1OgKau/cbpQB4Y9aAlT8y6Vue3+HD++FRorKiJhFG29crX00mCpEtu0KG4ycdI17ipd4ZbUpNssTx8FGeqCY6Ve3HPWSTPBpjjc3hzc027tuslKBbhasa9WmP4oPzGCZp1XcFWJrYy2ByaZTEW5Vx4O8px0OYb668tybEJwjbK9dhi2xfuKT4GWqvXnWhZa5TjQFuKWleMYp9G91fY4UzTYUYunEp3pNzPgaVBwgsaNbeIPp+A2TAxHLuxBU8pjFSSen87ucEw6S0LbE0vsDcxwZlSJ2PR7ascRN/aVChEpcul2GXyzq6zvDd2hKShqGifY7luJifbGMz6a3MV0Q1STdmUegN2dM2zL1THoJGDZdaPc3w2gzXtYEyP482v3eTDQGNcU61i5iuUp9s5FOplpCNFyljinhDc6gzzV4PzjFYyFIcjJLsz6HpjYlLXVt6ZL+5TpolybFQiTiUTIxldptPJ46gAUynCqo5rVrnK1JpX5YYGbcxUCu+mQbK7XN479CzvTR6m03xlYOKjmaymGF9OEsrpxgt3C83oXy/KsjBiUbzdmxj/VZ87ek/y85nvMWTl6DSv/E8UoK+4PaGq60z6Pot+mCdKN3M430diNMA4M7Zub2JxQ9FJGaetgn/LFqy5PP7ps2vnBeAyVM3DzmuCiokB7ApNYu5dZjERp+NAO2bgEyzn3tDMtNnRQW3PAMubQlQ+sMzWtil+O/MCvjb49acfxh4PMfidGuETUwTZ1ouyd317jEOjt6JNBUpdOE5ZBRqzGtBb9bGGRxrLOl91P3FLZaJHQmjHBttClauNWeFanaB8dblatB9cMou+VhiRCPVbt1IYCLHv1pP8z92P87889TOEj0YY3F8l/NLohZPJyv0xFu7yGRqcJx8YnCu0kXh5EaZmX/cFdaPwojaVjEdvOn/ZwW9FmxRmYiTGDMxCtWVyQq1Ka4KZOTKPQPp4G//R+ChqoMSn9/0l94V+8NJPelV+Z+L9nFjsovRkB9FJzfaTJeyZWfT8VQRM1zCjvY3qti4q7Y1rLARVhj2L44Uewos+Vra05o8rHrAXmLtNUUmlyNR9zLksAMoyWXpwiEKfieeCH9bUBmtsHZhlX+IUb00eJ2FU6DTzhJVPUQccqbXzf5z8UWbG02z/Xgl7ZBZ/MdvkK2wuXakQnq0S7orwbHEbUXWUm5waYWXx9sgkfVaWb6TvR8ciqMJVBoLWCkOhlH7d1X3rgervYexDGYoDPv/qbY9xuzvCHidPVZs8W41yqtrNZ77/VlJHLDIH8wSLSxfGIlZvN7WtXXgRi2rSJLfJoOOhSfYkTvOxjmdxlM/xag8ndVeTr/INUApl2dDbxciPWMSGlnhf8hD9lsdiAJNenBPPbGLw+z7RE/MElrWS1H79PleulbIagfNCj0nn7hn2tY1c8v0nCzuIfj1OfLzeUikRflB6fIodnw5RGkzxb3/2Yd7ef5qf73iCnbbNf9j2ZUYGO/jsjgc5+kMDhEcd4qOa5JkK1v5jGJ0dVLd14bkm5XaLSruieHeJ7rYsv7Pt62y3F8iYjZ1Dz5e28Fx2E3bxzWtzNyZoc34fZSxKqTdMKaPY6U6z1c5eOFKsoj3ygc90JU6uEKGnotf2vrlroCwLlUpS7g7zse1P8HDyAEOWIqQaK2yCi04F8LWmftFwv64DKlqvem5ARSuO1zqZ8xIcWB5ieKmd6LKH/yadGd+KbGXgKp9wqE4tHcMoR0AZsMpKpLVA1X2sMqiqSUlrwqrOlvYFXi461NtdnHIKtbKi6GryByjTBGU0ZjvTCfL9IfKbFL+667vcGR4B4FQtg3MuRPqYJjw8hzcxeZ2v8o3xxsaxx8av+JlV/+XXyZLxN0JZFpUOh1Knwd74BLc4OdRsiM5DdSLDC6/MYitFLW4Sy+TojS6T1zbL1TDpxeX1tTXhBxRYCiNWJxmqXEgYfzEfhaopzIpu5DhZA4JSiWBkFKdWJ3lyiHzV5eDeTfSZR7AV2Jzf3tPYKgVgKLWybcq4kCCzctG9NwCKgeZEvZ0Xp/soTcbYtL9K5PQcwdwCXqm07gfWOhKimrbx3QADqKNZ8KMs18OYFR9Vqa25gxe0vrTNJ4wK9a46pZpDLRPDWekTgW2SGzIpbvIh5mFH6rxjaJif7nyKXivPViuCR6PN5AOfc57L4Uo/MxNpwuM29vh0yz6Lbqi6h1msYxcjTFZTTITTbLOniCmTLjNKTReox8BLu9h5F1UqoevrZ9vQRhFEwxQHfJKDy/xY4iDb7BAQpqRrLPgxpuopQnMW8QkPVa6jYtELf9bPpCj0hahHFdW0orjZ4z9tfoQt9jxbLChpn5O1bmqBteaOiFemiZGIUW9ziQ7muK93hAErR9xwmPE9lgIXZ1kRmSmjytXGqr5Ar+n3gDebCoVQrkstCbek5uh3GsnSAwJ8rZmqJEiM1AiNL62rHFFBsQgvHiWeHWB8vIcD4QHen4qzzSpyl1PjLmeS+sAzfD+xnSci28gbEcxqiLaRDvzuNPn+EPUYlDsV1S6fj970IjdHxtkXWiC5chpmSdcYr6YZyyVxq2ssaGN2dOBt72X+JpfYx6Z4d/s4b3dP0WYYVHXAvF/lc0v7OLzcy4lvbqfvsEf02Gzrz0S+SdTWIU7/RBvepgpvix2n19SXJB2+2HPVMIcrA5QCh1Lg8MjUTqaPda16wzXqilC2kfAwNukTzQe4h8bWdZ6gsLIwDUVXvEC2N4VRDWM3u1A/qPFpOio1fKeHT93+frZHZ/n53u8x3NHFn4beQm2mk/5HOnDHi5hnxq/4Mm11Z/CGuqh0hlnaalHsD7jnvuPsjk/xkHuSMS/Bzz/7M6ixCIPfrRE+O08wO38DL1bcCMqNsLDbpLylxrbwNL7WhOcMosemGysdADOdRqUSLG01+LVdjzJTT/LHU+9m+lw7aW9jz3S/WqXd5p07DnN34izuZbYPhZWP1VmhmHcJ4m/eEZDXndYEC4t0fS9CRyLCF469j88lfojcNo2f9Imky0TDNdoiJZKhMr2RZQZDi2TsZQbsBZ4u7uYfx27FDxqz4ks5F+eIi7MMHcN1nOUK9vA0QS7fSBi/xoIVb4SfcskNmRgdJUwUJR0wVm9nthQnkquh88W1k4g40BgeeIHCv2ggstvJ89sPfJWpeopD7+qjUG9sgzeV5keTR+gLZYkbZcJGnU32PJusGiFl4OHzeNnlTyffzom5LvTBJKEsbD1awV4qEsyt8SX6b5KgVMIYmSQZsfj60Zs50d/Frq1/R9JorL6OGyZ3/9ARDt42gH5+iOSZAVJHsvgvn2h20cXVWJlcq6fDDO6c4cGuMyv5expMFIPWImZE89SDY4xsb8e0bAyjD7WyLzEdLbM5PknUqtHmFNkcmuOO0DSuUtjKYcn3+ersXo5NdLO1WF9TcRtj8yDjH+imMBjwazsf4e7IMBnTwNeapSBETZvc/qNHOf2WDrx/HCTzTYVezq3rCetrohTFd9/M/B6L5AMz/ELmu3SbJSDEjF/laK2dl+e7yYxl0dNza/K0qCvSmmAhy+DXMhT6MvzxT72LfO+T3BGapN+K8Hb3NDeHJnhX+iin92QYKbdz5l92EHMW2OsOEzFrtNtF2qwib3FPkjTquBcdxlAKfL7x0h5SLzjEzmRXXVhxrW5I0Ea5YcqZMMUBxe9t/Qq3ODliqvEaXQxqLAUOB7KDnJzqInPcJ/rcyJo/7vJaeMkw9s059vWMMWTliBmv5LB5JR9CY+bpeHUT+3NDFOohivUQUyc76Xm6sRXkcgwvIDJZxizW0CPjBMXiug7YQCNvQkgZxO0KszGFHzFxDLWmD7nxcznI5Yhv7+DF6T7ohp9LP8dtoVmC3QZP9Wzh9KkdKD9KbDaOKlcuTWRpvDILqtMJin0RCn0muZvrDAzO818GvkKbYVHRigN+HOeoS+p0QPjYBN7UdBOuWFx3lkW1M6Ajk6PLzOMDVhGCmbkL+a6UG8Fvi1FtD3hv9DTfKm7ji/O3YS+aa+el8gbxwoq7E2e5OTT+mmX7de3ja0U4UqMYjaDttZU9IKhU4OQZUIrkSzZGNEL0HbsodluUMwmy8YD5RBIrWmc0lWY6maA7nCMfCfP04hbmTnawcqgboXmDgW8uY84v48822tp6fya9WhCyqMcgFGoMhOsaFv0oxZpNtOrBNSSebTblBygffN8goLFl20DRbkT4l4lJYBLaj77OTzGB8ytsPE5Ue3lptB9rJMzQY0Ws+QLB2TGCDbL6+mpoz8PPZrHm27Cmuhix21naHCLABwzCyuIXMt9lpK2Tf1f+AMs6gjsTXZN5SzYkZaAsCz9isCc9xe3uOcLqleeKgUHSqOJbS7wnc5SJVJo7oiPscGYa31cBKaNGm9FYfR6+MBEcwteaivZYChzOZdP4CyFUdXlNBW2CVJT8TTUGBhZ4d/Q4m60w4Ky8K9kE2uBnM09gZjS/OPALdLlhuMot7xuCMsj3WwR787yn9zh3hXygEVjPByanqt3k8i6ZpQmCi06tW090uUz0xTHCs+2cfFcnh9IDbLLnyWiffivEoAV3hmYhNtvIDdvvX1hBfOkYz+J8OOV8DtmlwCA04dB+tIIxv7y2gjbU6thFH6NmNhLzKBNTKXytcZTCR3F8MoN1OkJkutTIdL+OlmK9nsAx6UkustWdJ/yqVfWLfpXFwOSTZ36c0+cyRIYdopMaow5mXbN5rk5odPUZb+UH6GIJPG/dJh7eSMJTBdTTbTy5OcoXk3vY4sxyv3uKPeEx/uJjPlOlBOfySaqVDhiL4Cwp6kmN5wboqI/t1om6VbpiE3Q7FbrDeaqBxa+e+xDj+RSLL3USWlD0P13CmssTbKDg6Ybj2Fg9JR7oGSZjvmq/stnY7JJ9cJDpt2p27R4lAA4UNlE+2E56WMupUa9ilwIeXdxFKeVwq3McA4sAzYxf5fdnHuLQYi/mI2kGztaxxubXZqBiJUFxUITESzPEhiP4sRCBY+CHTALbwQu3MxLqYNhSPBECJ6/ZNF1HraygMcsextg0QbnS2K6xATmj8/Q82cVoLEH9Hs2Yl+DrU3tYHE/RnZvBL1fWzDYW89wM/Y/CmBnn1L0RtlglOswIxjVkX/Tw8bXmi4Ve/nL8foZPdjPwLQgtlLGHp9GVyvqb6X2zZHNknutgec7l4K2bGbJeps1wsJXJFqtEmzHGD+88wv62QXJTXaSbXV5xVc6nlPAiBgmrTNSoYly07dZUik5TEzdKRKNHybkhOo3ShdU4plLYKGxlXHjBXPSrHK0nOVrp53Nn9zE/F6frUYeOyRpqYrYp13mtDNfFaEuztDnK2/e8zIPJU7Rd9P5sKkWv2Qgy/PrLD7M8nKZ/vw8zcwTljbsd/tWUochvCvi3ex7ljsjIJd97tLiLP3jm3cSOO+h1nEJA+41coEYQ0P5PW/jSgbfx17few5aeeT7QfYh3Ro/TaQakjTAGxoUDJi6XS6ukazxfjTFWb+fPRx5kajZF/wseodOzBG9iGoEbErTRQYBZ9jE8CCvvQh4bUynQjcz3wXwIdxKsbAl/HTeSy9GmoiNcJGMvX5ILISBgKTAY81KcOdJHZj+kXl5GnRxpZLM+f9Ka3t4AACAASURBVFJFswq+FqylqYOrYCzmaX85jvJtnr9tEyTh/sQcaUPxjk2PND6Doqo9fmfmXp6d28Rt7RPcFJ3k7sgwtzvGhc8sBGWG62EeKdzMd07cjz0aYuvfZTFmGycGtdopUeLNpS2TTCrP3bGzpIzgwn1EnT9pxDRZ3mLw/n37uTU6Rl3DaDFN4owmPl7dsC/cq7EqmpHlNrpCefzkMaDRz5YCi8fHt1IcTbDtQBHr+Ch+YQ0nBdWNfHPe8AjQOBjBXPl1tTb6M8ufniVUKBK5bdfKcn6Xsbk0zrwJ5cqayufnz8zCzCzxnfcyVm8nZVRpMwOMq2gRwcoD+vxK4mfy2xg50kv7EYX79QONdna9L2CN0/k88SPzGPV2RirtLEdN4oaPjUmHGSFp+HwwfZDtkVn+rONHJGizRijTQIVC+LYiZHiE1StBy/Mr8OOGQxzoNAHqsJII4PxLZfCq+f28VhyuDPBUdiv5Ax20TWo6vj2MNz2zZu7JKhQiaE9Q6jB4uGM/d4cWiBvOJZ9JGQF5XSF/vI3+J3yix+Yk/96rKYOgq8bPJUcB45K2cqTYS+KwQ2LUhzWeEP+KtG4cyFOp0va4RToRZbLayfCWPh53ymwPTWOrRdIrMZorJT6v6oCjlX4OFfqZeyFDahRiJ+bxxife1C3fN2alTbmCPV/AzoWpaxNWGseiX+VPs/t4YWmA6LiJO+c3EkZtMKHpAgcf38nzmwbZfe8Em6wCT5UHOF3N8JkDD+BMOPQdCIgN5zBmFvFr9TV3Us2NVAiq5HXA6cUO2k7UiUwWCNZJfQXLOdxTIexikpeM3exP3sT/vfkdJBMlHt70IrsjE+wLTdNmhnhv8jBbInMcKvTztZlbGEl2MBwd4XQ1w9F8DycWO1k63UZo0aD7VEAoW0fNLBJc5pQlsf6oWp3xmQ6+Eb+Fm3sm2WwH2O+d5+TQbtAKlGbotnE+mD7IY/ndfPbc/cweyrD1SA4zm8eTNgI08v7Q1c7yZosP9h1jb2QMGxMPn3xQY7ieoXY0SdswWHM5glJJVg1scPr2nYw/EKN8Z4mwMpiuJ1HjEdwptWZPjUoMl/nUNz+Gaquys3+GTbFFfrnzMTJmcCE54+l6lbnA5StLt3Om0MFiJUqx5jA/ncCZtonMKPpHPCJTJXkGXSXteaiFLJFpl6+duZmcF+GTmUfYZgecqPtMe3H+aOzdnBjP0D26hveIbzDa8whyeZIn83z+f7yNv+h6kLv3nKEr1FgVaxk+t7jjtFsFlnyXSmATNurYyudctYPJaurCz6prg1pgcWS+h8LzHThZ6D1Ww8lW19ypQP72fs5+JIaxJc8mK4urTIyVoEM+qDHpm/zS8Z9hYryN3uc10ZOLsNB6p542jVJYg/34bQmi8cpFKyINXqgFPJLfwyMnd7HlhTL2bIFgI0zeBj5BLo+qVul63iV5NsTxqR38Uv9W4gM5Hug7y1B4gZvCE6TMEt1mkZF6iq8v30rZtyl6IaZKCcae6yM8r+g9Vie0UIG5N/8UzBsStAnKFYy5RZxCO/5FS2aXAoOvjt7M4kSKzERAZLaG3ojL12YX6Xs8zuKsy6nbuwmrMb6V3cOhuR4Gv2QS2z9MsLRMUKm8afvi1rOiDpj2Q+QXogwcnUYXiusmuWWQz0M+jzkaYvBkGp2Ikd/dTjET5h/ffyuTmRRbOufpMA3eEanwYPgM/yY3xMnJDMvVMPOpGC/N9rJ0LkV82GTHtxcxlgt4E1MQ+GtmtkW8CTwfYybEoUQPs10xbnYqfGbP55jclcRWjQf1dnuZQSvG384lWXyqm84TARw+gbcRHuRXSaUSlDanKfZpfix5gG7Tx1Zh6tonH2iGq12kTkD6aB5mF2SbqmB5m0vqPVN8IHMa17BZ9GK4U4rojL9mtx1aZ6bY+qU+SpkQZ24d4lhvDw89cBQ7NIW7ktDoVL2DE9Ue/seJvegxFyersAuw/WAJ9eTzF37W+nha3xja8/AXFrFcl+DMAI/72/ix9ufZbOUZrndwtNzHsRP9pI5YxEbX1gv6RqY9D53PYxwfYUuln/JAgufr2yDRuD8YlmZ8MMWQu8hEJUWhHiJmV3EMj+OLGebn46/8LN+AmoF7zmLL3441EvIu59Bar7m+Vhx0eddDL3BPfJh+C0Ir+VF9rVkONKdqXSx+v5uhF+pED43jvc7JohuOMvAyKYoDLu3RmUu+dbgywJfH9hI6EcF69uCG2vXSeLcCNb9AGBg8voV6d5LZu9J8Y69LZ1eOt/XE6HGW2R2e4OniNr56/Bb8iomqmNiLBlu/kEWNTjZWUl+n96kbsz3K99GlMsmTRX7my79E4DZCD6qmSJ406VrWJE8VsObzBKWNlyhKl0pERpfp8BL83pc/jB/WhGcNnDy4ZxcJiqXXP8ZZXBAAgTagbqALxXUZCNR1r5GrKAiIDduE58PM2R08muzg6523o8MrtwutcEctUrOaQjTCc243Th4yCwHubBVjYQldLrOmszSLN0QXCnQ9rylMp/mDxHsY7n6R3eEJttgrJ0eh+XZxG8/ktvLoi7sZeMnDnSitmQSpN1poUfGpkQ8TaMV0Pk7dN6mUHfyFENvOlDFnlvAlYCMA31Z0RAokrRIAGXuZwkCA8k0Szto861CXytgTS8QLLkY9RjXp8Juz/wLfDdB2455h5UyMKiRGIZwNsEoBVtnHnlqSbVA/IJ3Pk9kfUDrr8q8nfhY/FmDlTMwKZE5qYhMVrOn1W8+LXozCfJRYTqH99TOe0bU6xsISkSAg81Q7XqSRLFYbcLx9B0cdMOqgfNBmY5GsXYD24ivPaRU0vh+Zr6NzBfRaPqVPQz0w8XVjq0ohqHKwFud4tZc/Of5WijNRBo54uCM59DpNoPuDUIai2ham1GUwGNp479tXbSmPrTXthw1CWYdaopOvpjoJbI0f0VhFg9RYI7+s4Wmcoo+xsDLGu47vUzdme1TgN/aNPXeYbftXSU6n9bp9mLyeoFiEY6ewjsHmRy+tn2Ct3libyNdQ0TaqrvCzy2smoeM1CfwLJ0oxM4sBZL5/9Ykfzz+wN2qfE+AvLZP48gukO9o5mRnisze7fGrHN3gg9MoD51sLN/PC93fQ86Im+q0XG8Hj9dif3gTutObUk5uwc4q24x5WOcAseZjlAur4CF5xDeexEW+qwIZ+d4mM1ciz0GdnSWxdIq9TKMd5nT/dms6vAgVwD4Cr1JXzp1w0tpHn0A/OX1rG/dKzuErRcbkPrPMx9kw9gTNrEV7UEKyjoE29hjc9A9MzJI6dAnUN47zX/DC95ldTKw2eNlZSbcBSEPCVpdt5ZmYT6b+OMXg8ix6bwpeAzeUpg3K7SbEXMpHchbxir85/tNH5c3MwN4d9+izp1+tzN/B96sYEbS4mQYgrk/q5Krru4U6WQUf45umbSNslbOVjK5+Xcv0ML7cTO7vBDreUtiOule+ji0XaDkMh28mvTHycT7W9Mvvin4jTfkwTGy03lmtLnonX0IUS4akCZiWCWXOwyz7ueBFV9VG1OqpWx1+jW17E9WFV4MRyhi4nj68nm12c60OeR82x3uu97mGU6zDv8vl85sKXH5ncSfwsRKe89b0yfb3/+74Od7zEk9/dw+Px3fxhRxnfM2EyTCirGBjLo5YLBLW1k8j9RlOmQbnLoD5YYUtk/pLvLfpRlvIRQhXQG7ydXaKF6uLGB22EeBPoeg3jxZPET7mUunbyNxNvIQhptKVxz1kkRgJ6zuRlVYAQV6A9D39pmfTn95NWBsq8NDu+1roR2PF9eYivwp+bg/l5TGWQNBQ60GgdXJorQOpOXMTJB5ye6iQZKhO0vfjKN6SZCHFFulzGWDaJnUvzfx5/N4ZqdJrS4TRbn5hDLefx5KV9/dp/hC0vNVYjqpUVEFprCDTaq+PJs/bKTJP8Zp8P7DnEPvfMJd+arSXw5iPElxv1KVqPBG3EmqU9D8oV4mMeYBHYBoEF0emA6FQVM1tc80tBhbgRzs9MalkQ8sZoDdqX1FDiqthFHzUTYrQtTUn7jNbbWR5PEp021uzpUULcCLpWh3KFxKjP3KFXTkhKDoMqlNAbKHnqhqT1hWT+ElZ4A7QmPGvy2Nh2druTPBAeY9wrc85LsH9+CHfMxJ33Jc9li5KgjViztNdYBhv+9ktE7FeasvZ9CDS+bOUQQgjRYkLTBdoOpZlx25i8yeJ72R30PgbR8ULjtEMhxGUF+TwUCkS/tkzs2xflf6rX8aprOMGuEDeArtXofq7G8myKf0rdys8mxni0tI1/nLmdyYM9bHlkGXOxgCfvTy1JgjZizdP1Grouy2GFEEK0PiNfxp2NEz1n89vnPsTLZ3vZNlPDXCwSrKOTb4S4LlZWW2g5jU+Ia6IDjbNQJuYYvHyin09EH+CZqSGyk0nS58DMFtGFkgQ/W5QEbYQQQgghbhB/bILIzByDz4XRX4izuzZFsLBI4K3zJKpCCCGaJ/DhyGncYya7DyQ4F+mmp16kx1tGl8v4hSJa8tm0LAnaCCGEEELcIOe39lIqwcJis4sjhBBig9DVKhoISqVmF0VcI3UtJ4IopeaAc9evOC1jSGvdebUf3kD1AlI3q5F6WZ3UzeVJvaxO6ubypF5WJ3VzeVIvq5O6uTypl9VJ3Vye1MvqrrpupF5WJ3VzjUEbIYQQQgghhBBCCHFjGM0ugBBCCCGEEEIIIYR4LQnaCCGEEEIIIYQQQrQgCdoIIYQQQgghhBBCtKCWDdoopT6rlJpVSh1pdllaiVJqQCn1mFLqqFLqZaXUJ5pdplahlNqplHrxol85pdQnm12uVqCUep9S6oRS6rRS6jebXZ5WIf1pdUqpX1mpkyNKqc8rpcLNLlMrkPvM6pRSKaXUF5VSx5VSx5RS9zW7TK1AKfWJlX70srSVS8mzaXVKKVMp9YJS6qvNLksrkf70WjKWWZ28T65O+tLlKaXCSqnnlFIvrdTNv292maCFExErpd4KFIDPaa33NLs8rUIp1QP0aK0PKqXiwAHgQ1rro00uWktRSpnABLBPa71Rso1f1kpdnATeDYwD+4GPS5uR/rQapVQf8H1gt9a6rJT6O+DrWuu/aG7JWovcZy6llPpL4Amt9aeVUg7gaq2Xml2uZlJK7QH+O3APUAO+Cfyi1vp0UwvWAuTZdGVKqV8F7gISWuv3N7s8rUD60+XJWGZ18j55edKXVqeUUkBUa11QStk0xsOf0Fo/08xytexKG63194DFZpej1Witp7TWB1f+Pw8cA/qaW6qW9BBwRl6kgMYN+bTWelhrXaNxk/5gk8vUEqQ/XZEFRJRSFuACk00uTyuS+8wKpVQSeCvwGQCtdW2jB2xW3AQ8q7Uuaa094HHgI00uU6uQZ9MqlFL9wI8An252WVqM9KfLkLHM6uR9clXSl1ahGworv7VXfjV9lUvLBm3E61NKbQJuB55tbkla0k8An292IVpEHzB20e/HkYf5a0h/eoXWegL4b8AoMAUsa63/ubmlaklyn3nFZmAO+P9WtnR8WikVbXahWsAR4C1KqXallAv8MDDQ5DK1Cnk2re6PgN8AgmYXpMVIf3odMpYRV0n60hWsbE99EZgFvq21bnp/kqDNGqWUigH/AHxSa51rdnlaycqy/A8Af9/ssoi1QfrTpZRSaRoz3puBXiCqlPqp5paqtch95jUs4A7gT7TWtwNFYMPnKNFaHwN+D/hnGsvPXwT8phZKtDSl1PuBWa31gWaXpdVIf7oyGcuIqyV96cq01r7W+jagH7hnZTtZU0nQZg1a2V/3D8DfaK2/1OzytKAfAg5qrWeaXZAWMcGl0fP+la8JpD+t4l3AWa31nNa6DnwJuL/JZWo1cp+51DgwftFs1BdpBHE2PK31Z7TWd2qt3wpkaeRxEfJsWs0DwAeUUiM0toy9Uyn1180tUuuQ/nR5MpYR10r60utb2eb9GPC+ZpdFgjZrzEpypM8Ax7TWf9Ds8rSojyNbFi62H9iulNq8sjrgJ4B/anKZWoL0p1WNAvcqpdyVOnqIxh558Qq5z1xEaz0NjCmldq586SFgwyfBBFBKda38d5BGzoC/bW6JWoY8my5Da/1bWut+rfUmGnXyqNZaVjqukP70WjKWEW+E9KXLU0p1KqVSK/8foZEs/3hzS9VYztySlFKfB94OdCilxoF/p7X+THNL1RIeAH4aOLyy1w7gU1rrrzexTC1jJYfCu4FfaHZZWoXW2lNK/WvgW4AJfFZr/XKTi9UqpD9dhtb6WaXUF4GDgAe8APxZc0vVOuQ+s6p/A/zNygv4MPCzTS5Pq/gHpVQ7UAd+WRI0N8izSbxB0p9eS8Yyq5D3ySuSvnR5PcBfrpxwaAB/p7X+apPL1LpHfgshhBBCCCGEEEJsZLI9SgghhBBCCCGEEKIFSdBGCCGEEEIIIYQQogVJ0EYIIYQQQgghhBCiBUnQRgghhBBCCCGEEKIFSdBGCCGEEEIIIYQQogVJ0EYIIYQQQgghhBCiBUnQRgghhBBCCCGEEKIFSdBGCCGEEEIIIYQQogVJ0EYIIYQQQgghhBCiBUnQRgghhBBCCCGEEKIFSdBGCCGEEEIIIYQQogVJ0EYIIYQQQgghhBCiBUnQRgghhBBCCCGEEKIFSdBGCCGEEEIIIYQQogVJ0EYIIYQQQgghhBCiBUnQRgghhBBCCCGEEKIFSdBGCCGEEEIIIYQQogVJ0EYIIYQQQgghhBCiBUnQRgghhBBCCCGEEKIFWdfyYUeFdJjo9SpLy6hQpKar6mo/v1HqBSBPdl5r3Xm1n98odSNtZnXSZi5P2szqpM1cnrSZ1UmbuTxpM6uTNnN50mZWJ23m8qTNrO5a2ozUy+qkbq4xaBMmyj710JtXqhb1rP7ONX1+o9QLwCP6i+eu5fMbpW6kzaxO2szlSZtZnbSZy5M2szppM5cnbWZ10mYuT9rM6qTNXJ60mdVdS5uRelmd1I1sjxJCCCGEEEIIIYRoSde00kYIIYQQQghx/Rmui3Ijr3zBD9C1Gvg+Qa0OOgCtm1dAIYQQN4QEbYQQQgghhGgVSqFMk4Ufv5Xse8oo1QjMeAthYmdN3JmAtmdnUfki3uw8BH6TCyyEEOJ6kqCNEEIIIYQQLUKZJspxyG1W/Prt/4xJAMB3Fm/i6dA26lGbxHAcyzJR2SV0TVbcCCHEeiZBGyGEEEIIIVqE2rWN8kCc+tYyb3dPXfj6VmeWe1JnOV3K8OSdm1maSLPt8zHs6WWC0Ql0tdrEUgshhLheWjtooy46PU5dlDNZ9vAKce2Uem0/AulLQgghRKtQinqnS37QorMty2YrDICBYqvl8ZbwMIXkMc51Ps6f9b6NA9+/nbgXx5y0JGiz0alXnbp9fsx3frx3noz7hHit1eIO5zX5ven6BG1W9uKepwN99fttV/6sunk75b4YpS6LcqeimtbUu+rYszZtRzXurEf4mZME5Qq6XrsulyHEemAmEqioy+LbNzF3hyKIBOiIjzNt035I487UsJ48Iv1ICCGEaDatCY0s0FFMMBXrYvfSz9HVluPOjjHuiJ3j4/EJwsqi16xxX+I0X3vwVvKDUYbG0wTFYrNLL5pBKdRtuykNRalFDepRRalbURmsYS5buJMGRh3MqsYqQXK4jFmooqYXoFzBLxQlL5LYmAwTK9OJjrnk9nZS6jSophVeTFOPaXTMg6qBWTRxlhSxcU10xiP8vZcJyuUbGsC5LkGb83txL6h76KsO2hhgmhQ3xVnYbVHaWmPb5hnekznKJ9Mn+aPsDv4k+S7ipx36D7so30d7dYkaC7EKFXXRbUlm74H//CN/yy5nhr1OmN+d38lnQ+8gcTpEZr8tQRshhBCiBXjnxlGTFr16B0vTUbKbXb6xO8H8UIwfj40TUhZpI8JtoXFu33OWlxL96Fjk9X+wWLcKW2LM7zWptfsYbRXes/04/1fvk/xzOcp/HX4f+apDvhChng0RWBEiWYdYpY6yLFS1iq5K0EZsPMpQBO0p6h0uc3cY6K1F9vZNckdyjLfFjvFA2OBMvcCBah/fWNzLdw/tonzKZuDZEFSqoG9cv7kuQRsjFkWlUxd+r0tl/Nm51w+sGCbcczPF3giTb1UM3jzBjuQse2Pj3BIeA2Cfe4bDd/TxfGaQyeoWYtM+sW8fJcjnr8elCLG2KUXxjgEWbrbp3DnLLmeGTsPD1wG9ThZ6K1Sy7iUr44QQQvyAlMLs6EDFXJbv7CY3aJI5UMZ4/IVml6zpjGgUFQ5Ru2UT+YEQpYyi0rUyPtRg1MAuKsJzms4DyxjLRfyxCbTnNbfgN5IO0HUPa2qRVBAQWXApjkd45q4dPJZ5mk1Wlh22Q5vh856Oo3jaJLd5gGh5kGB6lqBSafYViBtAWRb1t91KbtBhfp/PTTtH6AgX6HQK3B8/DcAWa5EP9b1IyQ+x7EeYrcY50NvPwnKExGAXkbmAtu8GeFPTzb0Y0VRGOIyKx8FobBFSSoFlEbQnmL8zhecq6jEILPCiGm0CK7ftUFZh56HzxRLmgeNoz2v5+7Xhunh37qTS6TB9j4GXqdHbM0NPNMdsKc7fL97ON8O7SYQqBFoRaIWhNLfsHONYrJu5D+0iOu0R+d7RG7bC8fqstInHqXe/ErSxFm2YW3jdaJSyLeZvibK4R/PhB5/jd7ufveT7AXBfCO4bfIzvdLr8lv1hpk6n2Pl0VII2QlyOMli42Sb90BQfG3iem2wbsAnQdFvL7Oqd4ejcEEjQRggh3jTKNKGrjUomxsS7NA/f8zTfNO6j9/Fml6zJlMKIx9CJGNP7wnh35vn4zgP8dseRCx85Wa/wSPEm/nb0LrLVTqKTEZyZuZZ/CXhTaQ3axxufgPEJHMABzOq9PHrfbu6InWOzNUWHGeHh+EnCRp0/HtyMXWzHXs6DBG02BGVZTN0Xwr4ry/+243v8XHIUgIAAg0ZOjm12iC2pRjLr818LBgKO1QJ+Kv6vmD0XJ3U4BRK02dBULApdbeiVvC7aMvAjNvnNEfjIAje3zXJf6gx9dpb7wzO0G42VfR4+f7a0jSey2zhh7aTvRBRK5Za/X6tolJm7IxQ2+/zaQ1/lY/HjHKnFGa238ftH30vteIJKVbFYhXpcU0v7dA5l+f1d/8CzbVv5cx4gdybCthdiaztoowtFrDkbABVoKJVfmwTrYoaJNdCL35Ygu1uz45Yx9sXPXPHvaDMLbG+f4/lsFB2PYmTDBNWqbJMS4lXcKc34iS4OJocgOXLh6wZX6JPr1UrOLGPnVuodLrnBMOVOhTZBG6A0oCE6GdC2fw6VL+LNzIEOUFbjnqZ9f20nQzdMzHQS5bpUt3XhuY2AnTYUhV6TWkJheKB8iE75RMcrWAsF9MR0Y/ZkgyW6NMJhVCRC8cHt5PtMtKlAQduxKqGXRtDlyhUf2EY4jL5pK14qRHZ7CM9VRKcCnJxP9Og03rmxG3g1b4yyHczuLoJ0jPk703gRRcehEvZsHlWrg3fRhIxtoR37lf5hmWjHQtV9VK6IdsOUN6cJbHX5vwyopEw8F6wyWBVNdKKCdXqykXshl7vOV/sDMkysoX6CZJSJt6UoDgZAwBdfuoOe8Q14z30VZZqUbh0gt8mmfEuZ924+xV3RYcyLkj62m5pbwmM81JPgbx5KYc06ZNpuwcn5ONkqqu6DF6B8HyZmWr9NvBmUQlk2XkSx251kqz2LqRQBAXWtKQYhzBoYVf/K422xrmiticxpsqMJ/tx8gGc7t3A2185sLobvG/ieiRutsCmdJRPO85bkCbqtZfaFc7SZPu8aOsHz7iD5nZ0kqlvQkzMtkRdJ2Q7KtlCODbbTyLfj++ha/YbnEVkvlGWhLAsj04mORhrP7SCgOthGsdemmjIod4JVgsisxi5p3NkaRl2zMJLmqcUYJ9s7SYYrfDc1RZedZyg0T8osEjfL3J8+w8GB7dRuGcIZX4JTw82+5MsyXBe1eYBKX5z8rjptPct8Yewu/l7dyfhcGj9nEz9t0TEeYHgBZk3jRQxqUZP8bCe/6n+UWKjG3v4JDul+gkwbZrWGv5y77nmhrkvQxs9mIZu96s8bjk1pV4Z8v80D977Mnw48gvnqDOiv0m1WeW/7y0wXE/ipGGY2jloDy7GEuKF0QPp4Aavi8tzAIAw0u0DNpUwTFYmwcGcbSzvh1red5N/1f5W44RNXBj6autb83JkfZ7k2QHQyjpldQvsBRrQxqxCUK43Bwxq91xjhELqni2omyrn3OfgdjVxGhhXwi7d/h48lXmLOd1jwo/zWsQ+z9HQHqdMRUsVyY6vrRgraKIVKJqAtyfiP1/nkHd8iaRaJGjV+42s/yY65ToyF3BUHuSqZYPqBJIVBzf/0vsd4R+wov3HyYc6NtrMpyOCsgaCNEY1Q2ZFheZPDPb/4AnfGRvhvX/gIbUfDODkf86JcCPWoRT3aeAFXGrywohZT2CVNbDxGpd1m6h0BRrR+2b9LGXDH0BnuTo1wYHmI4aV2xp7tZLCewZrPQz7f0gN2w7Ep7uoiP2Ax9JFhfnvwK3zsG7/MwJdNYqcW2ehZI5TjMH2vQ/yeOT615Ql+JjGBgYKVFQC+Dmg3Irwl7HFP6AC//NDTPFXp5TcHPoK/GCJ2No5V0hg1sKqa9koNNkDQRlk2RiRMLa54p3uaXiuEhUlVe+S1ouCHsUsao1BD19fms0m8Ab5PYqSOCmzqZzt4LtxB23GfzS9Oo0tlgqVl1PbNTO7bzKk+xYv39HFT+zS7+75Ojxnhv3Y/y8ttT/ITe38F6CRZqbVE0MaIhBv5GONRgni4EfQv1zBKFXSttjJ51rrPgZajFCoSQYXDlHdmKHVZjSCvp5m6z2DX3SPsTU7wnsQRvrJ0G/94+HasSYeepyyssqb9oIkfClFKhsk7MNzWRxDx6R5cZCiR5Se7nuH90bP89913MT3XRafThtOqQZtEqW0CagAAIABJREFUnLm728gPKh6+62m2R2b4g7//IG1HNduP51BTE+hCsTHWf5XO7ZtZPN3B1F7Ff374/+HLsTt5buBuonUfo1wmqKzBoM21Uo7D0naH5e0Bt8QnsJVJIahS1AHPV7t5vriZqUqSiVKSXckZfrrtKXxCDNgL7Gmb4ql77yDe7xJ/8izBwmLrdeaVo5aVaaJMY9W9fsqyMFJJlGWBbV/YV4hSaDeMdiy8mEMQMglsg8BW1F2DWqwx83vJzwrArGnsoibx9Aj+Qnb9JmxeWT1hdmcIUnH8eAjftaglLKpJA+U36sKqBoTnahilOubcErpaI8hm1+zL99UqZyIsbzXpS6z/ge2qlMIIhQj2bqfSGWZhr8bdtsy9qbN0mgEhZeIqh4AAX2v2tY3wV/cOEp5z6UjegjYbq1DQEB/zcHJ1rOOj+IvZNdOnDNdF9XXjdcaZ2Rel0qFJ37RAT7zRLhzD49bwKB2Gg02NuFHngZ6zfOvWMHOxKCoYwMn5hKYLKwOoKlSqeLPz6/bUCWXZBANdlHtcOtsX2R0ep64tavr1txMqy8JIpwl6O1neHhAbWmZPZJyUUWV6Lol71sbJrpFtvVbjflpPKPpDWXaFJlF7ckynYhgVC8NfGUpo8EMQhM4fi6nQtg/hAGoGS4sOXixgy7Zpkk75sn+VoTT3ps6yOzyBrXy6Qnm+2tlGLR3CKF0+0NMKlGVh9nQTtMWZv9Wm1O9TnuvgE6WfIHHSwp3Mo3I/+MuQsh2UaaA2D1DtSWAvVzAXC+h8AX9+4U24kutEKcy2NKSTVDIe7+gaY6szuxKwaQRrXs1WJknDYas9x51Do0y2J5lIpQjKFtaihV0wSB92b/SVNIXZnsbv76TargmrxjYXUxkEOqAUWCx7EexCgJEv4q/zMc2VKMtq5NUMhwm60uiQTS3pENgGXtQgMK88IQxg+BqjrgnPVjH2v9zSY0QdaMIzJcDFjxj4tiI6XkLn8uhyBV2tYmZzJM5Fscs2i3Y7T/THeamzg932PL1WCNfwqHX4FHpNEi2SzNrfvYnlbS5eRFF3FXZRE14KsPM+4fYEZr6Md2583Y49fmCGiRmLoqIu9S3deFELL2LgO4ql7SbV9gCzpDArBn7U41w2zXwpyotL/Zyc6iJ6NER4XhOZaTynzYpD4BjUo413z0rawHMNZkIp/MDgm85ezrlTzM4nSBbBrLbuaj/tB1hljV1QPDu3iVPhLqITEBurNCbhCsXGivLLtC21nCc+Fic/0OgnSatMsdvEKscJjTvXfVtqawRt3Ai1dyzzH/d8k/vD54AI0z6MeWl+9+QPkX+2k9iYpv1wnkffOoT5LwJuiY7zwegI3Z3fpfqTFs9MDOFOdmNWq/i5wg3N5vx6lGk2lqVFIqhwCF0sXXY5r4pE8Lf14bk29YR54eGiDSj2mNTiUOn1MdNV4rEC7dES7+w4w0+lnuPVp8nntcXRag9fnr+d+f99E85LNYJ8vqUfPm+UchyU41C4rY/sDotSX4DqqXD74Aif6P02016KY5Vens8OceilTYTmXboORgktVjFfKq3LOrlAGSzcbNHxzkk+3LNxE2Aqx8FIpzj7I3GCnQV+Ze9jfDR+HFeZ2OqVk+4MDAwF/2vbft7/kRd5vLiLPz/2AKlYiT/c+Q/kgzC/dvCj1MejbP+rHlShiK7V1kTgxuhsZ/bBDLmt8FsPf5H7I2fpNBT2yrYEA4OQsjCVg2s4dOmA/9L9JP8+8zh/tvtW/mL7vVTmI8TOtGEXNe5cQGjRw8nlCUqlJl/ddaAURiTM7K1xclvh433HeDBc4YWqwfFaD8pTKF9DcPnBieG6eDv6WNoW4cfe8gwfTT/HTttj0fdxX4ow8JVZmJlbEysvlG1T6jIoZzTbwtPcFfL57r7/l9o9r7T787VgACZccl2OUvhaU1/5flS9+okFhlIEK/3IVga2MnkwfBw/eYz92wYp9HVhVt3GNpoWer6fZ7gu+Tt7yfdb7P3RY3yg40X+w+c+Tvwxk7bRc3iT03hvwrYVIxpBRaNMvqOT3P1l7DNJ2o7GiY2WUQuLLXsvUpZNsKWPUm+EbTun+PWuR2gzTSC06p8xUISUxc2O5tNDX19ZCRmwHGj+cPYhXljoo7K/HeelG3cdzeIPdDF1fxxvaxnXMLFVI3Dso5n144xXUkRmynij4y3bBm4EFYlAXzfVrigzd4WppTR6a5FUvMztneN0h15/8mquFme0mOb4gSF2vOy29va7wCc4dIKQ0ZgchsYWbv+iF05vcgpnZpaQ45D+TozSnUN8Ydc9vLftZd7rjuIqTe/WOSasdroORl89B3zjKcXE22Js+eFhUk6JTqfAwcUBRs51Yi5ZRMfbiE0GJGbnW2JVUCsyHBsGeqh0xzj7YQunq0TI8Yg4dT7Yc5K97hgHips4W2znxdEBakeTsKzw5zSDE3VCTx9urGhaWbXnrLSvMKBMAyOdQsejjKkMc5vTfGMyxTfMPURPOESnfOxsuXUTMNRruLM1VGAzs7+baQu2PruMPnIS73UWfXgzs5jzCyS776KibfqdRZZ2ghcJ0XfUve6rPpsatFG2g7FtiHJfgqG2Kbbas8RXVpecqnfwTGEbc+MpukY00cka5swSkfk4h5b6sIzg/2fvzaMju+77zs+99231akcVgMKOBnoj2c1udnOnKVEStcvareM4siNZnmTOjDNJPDMen+NJbMeeZHQynsQnx3GOk9jxOB7bimJZGlELRS2URElsstlk7yu60di3Qu1Vr95y549Co7vJ5iY32QDk7zk4BwVUFeo9vHeX7+/7+355X/wiSRGwPzlFtdfm/P6dpHI7Meoh0gsxzs8SrhRvORMrs1nIpmgPpKn1Wx0FTCNad92+giAmqQ4pQgeCGGhDg+6QNn5XgHAD8rkqg8kS3Wvu8LucOa5YA0g6i+OsdPC0j2KWM4k+nujagZXLdCL9tgpBIRXG8ABRwqXdE8dPKpb3GDRHfZLdNbZ3LXN/5iI7zCbdqklcepgiZGYsTTEbZ8WLEVtS9EwkOhvOLbzI0RIcw8cU198HcenR61Q5EQsRcXdN2rf1zAuFYaAKPYQ9Gbx+n7v659htz5KW1nXPu9a4LyFM+lWbPc4U+/pn6LGrjBk1PF3jzv5ZTqgClZ1J0noceWmGsFS+FYf2mnCFMA57MpR2gRhpcLs9Q6+SLIQRjUiwErnUI5vzXoFlP8Ed7gzj5iKDRptBI8Ge2BT7+oeYTGSZt7KIpqK+KnHnbfqOxWGL9ZgLw0AN9hPmklS2gxirs9OZRyL5UXOcxxdvx1kWiDWp9otfK10XBnpZ2u9SG9Lc4c7QLT2WQ7jgZzHrGlFvErU3rnJkHVKh4zHq/YKg4NGjqhgostK5+hQE0TUT2mt5DKz/7IrCbVm3aWmBIgACSpFFNXKotWxs2fFd2lCQChl3YXwIrytGcbdBK6eZrGb5XHg37rzGnC+jK9W/+TpkTVEabR+iMeBS2R5xx9Acx0sjRKZAK4HYoIQWdIImaoMu1SHFwfgqGSlxRGcJGqGJiGjpgEYU4giJK80OiY5AIohdIdcFKFrEVBslts6Y82oIXYN2BmLu9e2p1SjkqfpOzq72kPV89BYah28Eo6+AziSJXIswZnaU7BIiQxI6Et+VNPOSdkpQ39nGSrS5s3+WglPl7uRFulTtZd97KUix4KdZbCU4PVPAXpYd5f5GRxS+so2R1p21v1JIw0ArgS1DHOGjEIDujMR644yvkQnddo3hWJHtzgJFP86UmyUyNJW4wk8YJCe2YaxUCafn0H771d/0JwjCsfF6E9QLJqTapOItKnWHRsPmG9FufmCNMV9K4tVs7GmTxBRY1QinGGAv1IlqtevWdNddX9qAmEOUdmnlNcm+Ko2GTegpVAucoo9obNw2eu0HmKutjnL+ko1WIMt1gteyP9YaHYZcN/UIvTYOvbQYdbNxS0kblcty8WPdNMfa/E7/09xphdgiRoTmLxbv44enxun9niL7xePg+wRtn9RkNxNHB1jcluDvZn9EQYV8MnWKR+On+P3PvI3pRobZWopSNcbAfx7F+V4DfYvJCn/3IKu7HYoPe/z6PX+NrxWNqFNdCq/htF3ZZtxaxJUeGdlCXbPINUWEQmOLThXTFJ0K+Rnf4Cu1XevPG7JWeJtTwRYm282Iu9xLfH78EaTfTbxahy1SEZdxl/l3D1DdBrl9i9zXM8nDybPst2exRYe8soUkIWJkpWZQVXnAOcrfTR9hIbT40p138fjsbsKj3YjV0qZRS9xM9KsG7+46xvN9/QT9XRhCoOfmtw6xtwbpupTv7qc6rPj4wR/yK/nvkZQGnTvpxjCFokvZPOhU2Tv0JZQQpKVNqDW/N/xFJvpd/l7rM6xcTLPtCwIOb1zSRibi6OE+lg4k+LUPfYEHYxOMmSblKOI/FR/iQi3P6aVeGlWb5BGHxEzIXz4kGLhtgZ8bOsR/n5nh0ViVB4e/jI+mfrumoRXzYYJ/PfUuwu/lkPX6ljIHlMkkS48MUB0WfOK93+Pvd/2QLmkQofiD428h8a04/cfqHXn2i1bLMhEn2j5EcU+St/7iId6eOsmDzhIKyV9Wd/BMZRvOqkbXahvfe2KNlPALaQYemuY9hRPsMisokQAdEaHXCZgrxMxrfXztz6pRm4bWfKcxynQ7t/77o9UBLpW7qF9OYW+0S0sqZMyBsUHO/GISu6/BO7cdRQrN1790L9HZHnqeXSC8PH1TNn7CspCuy6X3psg+NM8/HHqOn0ud4AO1TxE9m4fX0PZxKyFiDgv3SdJ7lnlf11FS15B+nvZp6JDZwOCsX6BglLndrOMIdZWsuQYhmpLvUvMsMtFGuzDeGLRTJq2hNndkVzGvmbvO+yn+y9F7MS455CozG7e6fTMgBJX7R1jeq2j1B2T6KthmgGME9MfL3Ju5SEY1KBhlXOkxoGqYAhwhkHQUfOq68efqJisi4usNg2+v7ubwsTHGPxdgLS4T3sDXYrNCJuL4I93U+hQ74/OMmsvYwqCu21SaDqouOybfGwBaQdJssSc2zaPuAqXQ5bA7yPbBZf7nwa/zWHk/n3cfInE5SeHzG7w19BZAJJMs7bdp9mp6u8skrDblI3kSs4LEhIm91GCsUkfUltC+j/baHdVwGKLDVw7aEJZFfVc3tUGDBx4+wW/0f4V/MfcefjQzglmzsI52Aho2KqJ6HXHiPIYUdB+2EEIQ1F6jYksqpGMTrbEnoZYd1XXAy6qubyZubXuUYdDORqS66nSryrrcMyJirpHCWDaxS+F1cd5GqYU7E6MSS3LS68O3FrjNhG7l80DqPAuxNJfiOaaTGSZHtmMvjCKn5m/pDS2CCNUCqTS77VlMEWIRXUfYhAgsIrqUjwm4snMuimFIS0tKkYWvFfXIpqVNqlGMauhwvD7IkZUBBGCqkDsy8zxY+Da2MJAorDV1hX7jCcA3B1KhunPQlaY2DIw0uK9nkkdSp9lnzTNsvLS/XSIwhcJEkVACRzQ56F5ktivDqdE9pJqj6EvTW05mua6wcKDLbpBU13tIOAIKRplMrEUYT6BcZ11euxUgTAvVkyfKp6mMKuqDEbtjc3Spq3J8X4eEaDwd0dJ6vbXjSqW3Q95cXSArIehSNi3doCtTY6nLJLKNWy8nfgUIx6Gdc/Eygt32LAUFE77PRJDjG1O7KBUTqEULuy5IzIS4cx5GLUbTN2npTmKWLUxs1fke1Tlv3arCaLzIeTuPNIzOtbNBq/yvGUJ02i0Tcep9glZ/wJ7YNAOqM654OsD3DKyKRjV8ohv1PMdiNPtcGr2CA/FL7LUWSUqbRuQz3e7icj2L8nSHsNngKS9CKYQbI0iYjCWK7LLncF7nGLEaNZkODELE+pzna0VLm0z5OeqRTTlwaUQWT6+MslyLI9bKWKXVOFRM3FmJUw4xau1bf87WrhGZShGO91EdcbH76gx2lZhvpSh7Mdx5TWKqBZXazSHB12KyRTJBKx9xT/dldttzJIRJEErcaoRqBOhbfW5eCUIQxDQ5t05SXj8XTQURJ9t9HGmM8PTKKMPxVd6ePcWAscoDjodxDUkRoWlpzflKntXlJLnmJh9zXgVXEl+8lCSZrzIc74R8+DrE1yEzQR9y1sGdE+BtXbWBjMcRrkutX9Ha5tHbW2ZffoZmaNIKTUbdFe6PXcCVPl0yQNFZR0daMxsKWtf4kJWiGC1t0lpbV5dCl3Lo8lRxnJMzBdwpA2t2BVGp3frx5hUg43GEaYBtd7ww1zbcul6/vmV5baNJvovSTpfaMPQaZVwR4CMoR4paKYa7IpEtf0MQf0YTzlZ6uN2dxRWrDJirDKbL7EguscNssj8+yedGDlKVDtk7R7EX8jC7iG6uKVh11JnLlYIoQuu1OXere+CspczpRIxmrybs8+iLV5BCo1oCpxRhLzSQs0voWp3w9XQaSIVKJRCZNJURg/oQjLvLpKVgyUvQWHHJVHXHS6m9sceiK8qs15uGKh0b2ZXFjwtMEdLSJmZVYFcidPDGX1u3lrQxDURfi/v7L9GjakRIPB3S0CGTszl6jmnc6dr1A8iZiwzNr1C7f5TfHXwnB3qm+KeFb9CtbN7tXsbXmjAF5UjxSx/+JGf25dj2V6OYT9w60sY4O0V+LkFp1wAnDgyy255lj9W5YKK1o7uycZwKOpOIFBGNyOax8j6mmlnOLPdQqzsEZQtVU8QWBPH5iNhySGq6irYVQdLm2w8OMP/3v01qbV3d1gqrorFX2rAZpPivApVOUXznGNUhybvf/Qy/mPs+vcrHlQpH3Lg3PiCkEflIITBRuMLkrbEVct3f4zOfGGN+soud/xk4ceZNPZY3FEKguvPoTBKv3+eD+efZbS0A5vpTupTNAdnijswchwb6SegU5pSxZWSmqifP7EdGqQ9oHnrbMX4qfY63u+e51kNhKQxYimwu+Xmm2zmkiDBFyLi1yFuc6sum2DkC9ubmeC5QBG78mrO68aBzGZb2OdTHfAqqwXwo+fXLH+L4bB+Df2TRd24J/KAj+3QddMwCHSNm+jjixmOGKRQ5GaNglzmZtohl04hmC73JF0TCslB9vXijeZwHl/nE8HEOONNAjIAQTwfoQCIDDcGNl7Zhf47pd0jio6vc41xeT3lpaY/vL44zeTnP9uX2pmjLlPEY4Ugv1UGDt2ZO87CzjCtNwjWVDbCunnm5x99q9vOvzr6bIOxMSkEkadRtoppJ5piBVdUoTyMDTeJyg77y1c1GX1CEMASvjW61OnGvt/icSddFdueo7i+w+vdqjGQn+UDXBNNelu9+/gDpixGFZ+eI5hcJWzdHIi6UItgxSKPfYfi2ef637u/gA3MhrM6l6Ht6Gl2rEW7k60lItBWRsZs48vpx5Q+W38r/98I+UkctBr6xzNld/Tz54F5i28s8fvAP6VFXizEN3WYycJn9UT99xzXW5QU2uF7tbwSZzUI+Q2mn5P+4/TFGzWVMoWjoNtMBfGv1NoYfb+NcWCJcLt7qj/vGQCr07WPUBl3aby/zJ3f9GRnZoksGfK5yJ3928W4sGRKmBb6WLIcmIQI/UMyHaf5w+i0Um51ryA8lxfk0sqYwKxKjCYnpiMRMG6PaZmepjKjNdcI7NlqoyTUQpoW+bRutnEOjx8SPd4gOo6VJny7DC6fWn6vSKfRQL4v3Zrn3H3TS/97pXsIRktlA80xrlMwzNj3PVhEzi7fwqK4icz7kwvdH+NLDms+kpnlbbIl9Y58jLjsWEG+PzfIf7/8Tzh4o8OcH7+HMQhdDf7Yd90IRtbhM1Gyh+nqJEi6i7SP9AL1a2tCt7DcDwrJQ3XnqYxkeeMsJHs2eJC7bTLS7OdvYSXyujVpcJVha6RCSr/H6FoaBTKdoHRyj1meS/fgMn+k/wri1yPF2khOHRxn+dkT87DLhFlJdvxiyt5vS3QUq45CTTRb9FD1HfNxzK0RvgvfVLTcijkJBc22AhQ550dYa3VaYTf0SqV7UakGrhbPUx0wpznmnm5NdWYaMMt0KktLAFiZJ2WZ3dpFKwyFI3NpNla43IAyxi4N8q7ibuUSGKHF6/fchAl8bVCKHo41hmmHn03qRydMLI5SrMYJlB6MmiZcEZg0ScyHxqQZquUI4NYN0XeyuDPbuAfwX2RJHpiCy1NU0qs0IqVDZNOS7qA5JGiMBdycucodlINf+u1c2VcWoTTEy8LXsVFGiBPNBGld6jJrLJIXPmGnSrxrs7F3iZKCI3JdKsDc9LJPIsZBOQL+5SlIEXEvadIxnJQnlETiC0JaYL0NSbEpYJq08+D0+96UmuCd2icyLek7P+DleaA5ztt7L5XoWiUbJiO3JJcgcJSMb9BtNTCAtrXUSRwlBTPk4lo/e4G0JYdyi2atxulrYAlYik9OLvUTTLs6lJYKLk50nCoExOkxkGYQO5GM1XOnhaZ9q1KYYQVJo+owEAEpIXNmmnTaw03HE0uYn/IRlERQyNAoW49kV9rmXyaxdMtWozVIooCUx6xHixST4WjWznXZQvU1Gs6skZbSuEmhpWCgnMZZNVLO1ObwnlCJ0TUJHkFENEtJeJ2Tmwib1SDIZZCmFLuE1844iWn/82PKdLF/OIILOfSJCgVHvfGXOt7HKbYQXdhLJLs9uXNNPqRBKIbMZvNE81X6DO3rmGYqtsugnOVfpJjETkbxYRxdXb645t1K0uyzqvYodbpWkNHiu7XCsNYRZNIjKFfRNIojeUAgwRIR6US1/0UuiiibxhYjw1Dni7h2Y1RSt5vXzsqcDJgPBCW8QZ1kQn22hGxtXhn8zIBIuXm+SdiZih7VItwyQuDSikGPeEBcqeWJLdaKllU5C6BaDMC2EY1Pvj1EZVuzIL7PPalIMQxZCizONXooLKY6Gii/FDqx790Va4EUGC16K05cL6EZnuyMiQWxWYdbALmvMekTyUgN5aR7daBBudMW1EJ0kyEScyki8YxDfLQhcjdEUyLZARCnSwS5o+4hGiyifpjaWojYkeFfmOLdbC6SltXY/ZTnbLOCsRhhLFaKNMI5ojVkJcFZslhtxmrqNIwyGjasFt7R02GNV6VZ1lnuT/MjaxvTINkSUxbFMZMujNdKFlzEwmhHKi7CWXYxY7Go7kO+/Zh9HYdsd5allgmF0IqE3oAekEAIMRWhJBp0S49YiCk1Lm7TT0MybWNMOQin0yxSeXgKpOols6RSVYZP6gODR3CXuj13gkp/ntN+HvSKJzdXW1GmbYG3zY0K7Do1uRZAMKUU2S+0kVqkNpWqnwPQG45aSNrrRJHY8xvfqu3k0e5I91txrfq2qeRgXs1xc6ed/WPgkqWSDX931OLfbc4wYbRSC3fF5yt0Oc7FxbmWIXeR50PYZ/Noysxe2M5Hdxef6HrnuOTIAowHZMx7GFbmv1uS8gHzQRrTqEEUIP4Ag7FQdvTZhu92JEA/DG7Zo5FSNyniEFjYDF5OwsjkrMao7x8q7x6kOCd710UO8L/0CB+wS8pr/7HTgMRMm+Hdz7+HQ+VGomRgVib0iyEyE1AqKyoNNRgsr/PHO/5cupfgHA9/hG4k9HEvtu/UM5s2EkGjXIUjbpFIN9poN7Bt4AwC4qk07LWiXFTH16lHGmwU6ZuONeuwanme/c5kRQ2Ne81/2dcivPP8zWE+mSMyGJC430EoQSMFzfUN8c+c9NPtDfuruU9yRmOPTmedJv8w53JBYMy6tbIvzrkef497kBbqkxRONAeJfSTJwtgnzS1efrhStsTzlUYvC3gX+z5G/phEZPOuZ/NXqw3z14u3cNzjJvx/6FrbokH9j9iKL90ga3Vn6Fm/yRvXNhlSI/l4mPhJHjNT59cJTPGgXSUiHgJCv1Ed4traNzEkD9+nTHTL+Ghg9edq7+lneZ/OpO77PAfcSGXn1eitGFsahJAPPtJBTi5smNaqdNvDj4AgfiUAJSSVs8Fuz7+HI4gD68Ry5E62rxvrXTkQaVCvgtvIqXOs9EoaIIESX1xINo07F72YpU94IqHQKCnlWDuaofqRKd7JIwalwdHWA+S8PE5+NyD09S7SySli/efeBdBxEOsX8vSbmnSVG3CJPtjL8o6f/DuknHUZOtYjqjQ3dxvFqqPk2Zk1gtDp3hZ+yaQ35jHavXldImA59fvnMJ5mazrH9cAPz6MTmHnNeDUJQ29PL7EOKkdtnGTPAXFMUP+0V+PVnPox5Icb40gRBs7X1NktSoYb6CfJJpj6gef/+w3yk61kcYfCvFt/GV1/YQ+q4xe4nimhTccTdf52XrtBApNlVbSCu2VCJVhuCEHy/007UahE1m5vCdFi6Lt4Du6kNWCR/foZPDxwiLj0c6dPWCl8bLAVJFtspnpjdxeqJEcKCx9t2nuAjiVkedBZIiE7r93To89mL7+HSdJ6dFxuEs/Mbpq3FmauRNSWTd2R5dpfLkFFh9Br7A4kgLR1cEfILmcO8O3mMf/eptzNRzXF6ogfZyHDbXZO8P3+GU/U+ZhppTk/2YV/KElvQpCYDnLkGvHD61VumpELs2Iafd6n3W3hpQffhGhw69saehL8BhNaUApdqFGOPtcKgMcnkR77Jc28f4tL/s4OeJwUsFQlXV1/1vVQqgb9vjPKow+5fPMUHci9wnzOFKeBXLzzCxMVeho8GiFMXCbdAR8fLQghaA0nK97VIZxr82cqDfGdyO6NLVaLV1TfFD/TW7lODAKeo8VOKchhfl/YqAKUJLYE2btw/L1o+TlGgWoKg7rCaNZkfTzNqLhNpDyUEoZZEG8HMReuO18PsAsl6E7c7jbPqXl3capC+xqwGGM+dvc5bRfOSkKkbQ8rO14uYG4UmsiNCR6LVBjgXrxdr/ZmkEtQGBc1hn/elX+AdMQ/omFaXoxYNrXne6+dMq4+jc/3YFxysKthFjbvoEz8+h7Wzl/Ium8V4Al+DIwzGjCI7Ygt1CkiwAAAgAElEQVQ8b0kMqbZUv6tWisgQmEZIQr5SrKruLHS2ksoG0IbEjPnknTpJ2V5PKgHWlSOtuTiFUx7OpSLh+YudKpZSpEaHELqHUqhYuD1Fr13d2K0HN4BQChGL0U4I3pI+zR3WPKawqIYx4vMB1nSR8EX9vJEh0AZIoWlpxQW/m/NeL08vjdK+lOCU20s4qNfHGVd4+NkAr2yCuZGbxF4FQiBMg8i10UNN9vbPMWYU181Sfa254PVyotSHvRp1UglfBJ1wqffZNHs0+9xJdpgr2KJDKte0x1KYwVnWWDMl9Gs1vbvVUIogJgkdUOIqKeCjOVfuZnU2zfZjTeSTR17xbTb1qCo6UacinaQ5kKI2ILl/YJK44bHsJZitpOg6H+BO1YiWVm6uN5oQiEQcUgm8noADPXOYIuRMqx8x7ZA73sCcKxFs8nkriCQiAL2mIgjiCivVojtWQ60puxq6zWyQZHquC2fKwlwqbVxV1k2AMC2EZdLIK/RQi53pRWxh4uuQsm5yprULNe3gzunORnuTXwMvxhVPPr+QpllwKAwu85GuZxk1yvja4Ey5B3fCInM+IDpxBrRG8JIlMMCG8Gi5WRCmQbPHpN4v+NnCcT6VmgV4kcn7EhGaAXuVP/Dewu7uBX6x57t0qyZZ6RARsRw2mfBzTC12YS5YqEr1JeuBWwlRb2Kv2hircZ5pbqNiz5GWS9eZk0sEtjDoUwYZ2eaj+WeZSuX4r+IgxbrLp/uf4sPxEsfipzjr9/AX6l6el0OElo1ZN1Ceg+XYnVStRBwAvWYmK66osqUEQ1EfTtLMGTR6BX4S/JS1cdviwwjpa5a9OPNBmgN2kbS0+EDqBXY5c/zTwk78niRWvQmvRNqs7b9EPE6j16bRJ/hI/jk+GF/F0wZLYcD0SgZnxsReqW85X9DrIBXSMmknFb09q7imz5lyD81iDNF8cwgbuNVKm5ZH+kIb2bY41eijmDxBUiqS0qC/v8jyHb1Y5QT2Czd47cw8A1/WYCi0UtTHU5w4MMBeZ4qQFr4O+YuJA7ROZxiZ3hgStqhWR7Q8ZLlCcuYa7Y/WHal8EPzYTvXCtgjySfyEwFybopSQVCKT+GWDzIUQUdt8FSmVThHuHGZld4K7PnCSd3UdZ79dAmLUtEcxDPknlz7G8el+nGMx0hdC+pd8rMVl8INOC0OkIYoIXIU7VGVvzxzu2twWlxEZ1cDLKuJ9vUQrxQ0peXwjseLHic9FuHNbKBL+FdDSAb+z+FZ+ML+NrhcksVNzRJU1s/O1OD9WSiRPmzRzOe7PX+Sge/F1G7Deaqh8jmC0l/qAYK81x4hhrJu93wg6DHFfmCJ2waU+282nBv4Jyuv0yJvNiJGKz+Wgm9peH1sbKCHJqTrdgyWWgy60s4lUSC+CMExUNkO93+Vjtz3DJzKHGForGFxpufyz4/cSOxKj/1z1Ra81ELZNdW8P9Z8t81Bhmn3WMl3SQiJYiZr84epBvr88TnwxgFIVvUmqUVE2xfI+AaN1crJBhAE6ohppps/3kD0mMRdXNzcp8ypQmQzkMsw9WiD10Tl2x2p0WXV+uLiN6tcLJOYjEkdn0Kvlm540I12Xylu3Ux1UPHDnKf6nvif4zUsf5MylPnqPaoxTlzupbVsEtX5F9P69LB0Q/MM9T7LLnsWVJgthk89V7uSJpd0MfMkgeWYFPf3aldmbDkLAvp1UR+OsPOLxb+79S0bNIhKL77aS/OvJd3L2bD87/7qOsVghLG8t8krYNmLXNrxCgot/R3PX+ASf6nuKvVaFc77LYS/LpeP97Hi8gloqE2yygsrfBCKdYv4tEdt3zHCfex7gZf3E3hc/xfidi3SpGmNGG3NtDXO8rflHZ36B2fksha+ZxGdaMLd04z94ixDNL6LKVUa+so0/v/guSrs1D95zmrvTl/il9GlsYV6XRGgLk3vsFfZay+wdm6KlTW43y4DLNjOiV80wOvQVZvuy/NvJtzMdDeClbXL6NsrjFuJDKxgqZKmYAiAeb2GbAa7pY6uAYfcMCaPNd6fG8Rbj+EljQ5I2kefB0jKxyQSHD+3g5GiBHfv/lHttzYgRkBSzdD00z4Weboa/OoCzsPiy3k0qmSQaH6KyLcH8Bz3G+pbZbS3gacG3ml0cbQ5jPZug8KMm5sWt7S1m9PXij/awskfxf+14jK+u7uOJrxwkd1m/RHX9hn6ON+0v3QA6CLCKTWKuoth2aWhBko7JZV+8wmx3Hi+riCWTnd7DKyyw1h1G7/zFTjXZMHCd7dSDq5uGttZUi3HSswKj6m0Ipl0HQWdT3GrBTTbDEqZJGDcJLVBCo9YGZx+FWQG76KP9zbFRuA62TasnRqNX8InuQzwaK6FEpxd3NtDMhmlOzPRhnY7R+4yHffg8UbN1XcVAxuPI7hxBTJJP1OlzyrQ0HXNiwBRBR9UV6zDuP0nwdUgttLFqEarW3hTy4L8pPB3xQnGApctZhudDwuWV66OXdadyKetNRADD1grDxur6ggcg1BovMmgHithGXS/GHLwumyChySmNK1+FVNGaYGERFiXxap14Mo7wfHS73ak6KYVzcIRqpEmIAFdYOCKkkKiynEyCsXnvHaEkODa+K7k3PsF+65o2OkKqkUQv2GQmQtRq/TqSolMRdmjmJO8fOcH++CRd0sJeU3bVI81zpSEmFnOM1ALwvE3TyqJjJn6Pz0iujC1CIiQRUNcG5qokvhghtrqniGMTpl3qA/DbY1+jFMZ5rjZCsebSe8rHma0Szi++7hSKzpt3Whg730vQEXqtjUxIgYg51PoVtZGIu9OT7DI9FmsJnMsW8XnvNUnbNwMMGaENaKcgdCRBf4uH3bP0Kh+DztrwVL2PSytdjJ4pEW6l0IAbQUha3R0Pl20Dc7zfrRFh4umAc16Bc9M9xCcN1MlLBFtMbSRMC5mI0yokqA6YPLDzNP+4/3H6lYctFPNBhqONYZxFiTw/tTE8WN5MKIWV7QRIxIWPp8W61558kZ/loBFj2GgSIQFn/efzYYqZqRzOlEnqTBk1t0y4wdSfV/xL7TM2PdUckOK5gUEiLfjpxHGSMiQhTJQQ68edk51i+IAC8IFOO1VC2CQU9Cg4aFX4Ye4yF9N9qJailTOoDcHv7v4ScdHmsfI+Ii24L3mBnKrRr6o4IsIRHcXodCPDsdUYWm7Q9Y7WRK0WRrmGO9tF3Uxw6Y5udpiXSQiTbiV4oOci39eCRk8PbjLZSdy6tli9Ni+JZIJWXyex7a6RKe7LXiQtQ3wtOeP1cbQyQHw2wppYINpixPE61s6FziSpDzh43SEHrGW+a3gkpjTJmeBNbSm8taSNHyAn53CDXmZraZbCGBnZxBWSX+7/Fse6zvGlHXdy+h27OqkCX13omGqVKwjbgq4Mfl+KmYdjNAcCPtv9HLvMzoZ8OTQRdYVZ1Yj2Vub/OtBdaVZud2gOBZhoQh2hhKQe2TirEdZibXMYFb4YXWmW9hs0x9oMGCV8Qg614pz2+vjs996He8mk72SAO11Gza4Q1q/pS16Ts7FtiMV7s5S3w0/nLiOF5tNnPolrtvnV4a91WsgUYBodKeRPCC4HTZ5qjnJoboTe2SZquUy4hUmbUGsmg4DJoIvpw/0M/SgkfmaZ8AbRy2K4n/mH86zuidjrTDFoBJjX+NmUIsk3z+zCOefQs7C6IUjhFyPsSrC6wyQstDBfayj5WitnVCojGp17SYdhx9xOShIzQ/zGzAe4L32Rz6TP0a0i3t19gmZgou3kG3tAbyCEZRFlErQTElNcnS8CQo63bY61hkhNSFKHp4iKpc5rDANhWbB9mNJtGVb3aD6YPtIxrhZXlZQTQZqT395B9rzGujRN2GhseHJUmBYylaAy7PKJA0/zluRp+g1BqDUXg5DnWiO4s4LEhQq6UrvVH/cNRdSTpbQ7Sbvf53Zzmc+3BvirIwdwJyzcs7Po1TKR/yprjDUTY2GZnYjeK+jJ0xjvQitBZApUKyI2VUVEEZFr0eiOYb57mU8PH6UcxvgXSw/R/kGOkScqqJnlLVPZfHv+DIv3JpBCI4Tmke7LDBodYhigGDocmhumNZMAb+EWf9o3FiqTRsTjTD5gsPOtE3y891kADnmCx8p38/nTd9H3mIU72yC6ycquWw3V3U35bePUC5LgkTK7uy/xmcJ36VceX6zdxtHaII8/v4fEWZPCcx5RfXP40NxMRAtL9P9RnqcG7uH0J3v51MAP2GvP0qsiXGFiC2NdbXNFiXLlsad9lsKAH9b2kztkkLzcRs4udYzMN6iJdbRaQrbbFJo+zYtpzvXt5t17dqF7PT5+xxGG7RXusGdIyhZJ6WOi6VVXiyY3givbaCdCS4VZj7CLij+Zf4hK2+HCs8OEtibxiMcD8fMkZURGGkgkng44fnGA/PdNEhOV12ZdcYsQFVcZ+E4GLx/jn1c+wf/e5/MvH/pvfCA+x89kD/FQ8hy//tMforLtNgqHfGLfPLYuLDB6e2jv6mfxNgf3wwvcnV3gZ/M/olt1iL1zgckfPPsIzgWb4bPVTofCJlEPv16o3dtpjGVYuMdk21svsc1u8G9XHuQLZ+5k7EgFtVB6U9sKb62nTRQSlkoYbox6O0E9sgl1A4ngYSfgIWeCB91zPN8/zO/wAXoOJzEqJjIIwI3hdyepDtmYd69yoGeOg/YM3cpmOvBYDBPIlsRo6Y7h2BZHGLdo9oCZaWGu7c9CHeFrA7MZISp1ok3Y+hK5Fs2BgO7eMknpE2nB2XaBZyrbyD1jkD9cRl6eI1wpvmQBKy0TEXdpd7tURyHobzPkFJlqdTE50QNmxMpAouPVIAEpO5vTnxCUIosTzUEqlRh95Qq6Wt1aC6C1NMNIC0JER50VJjnnFUhMCZLPzxOtrN7QCyDIulTHIDZQo6A8ktd4AoVa09AGatYmeUkjq82NSdrETLwucBMe8nVe19rzrlMOXFmc2OWQo4t92DLAT5/GFYq9zhRHk4NMGumb+OnfZFxJSbKv924JtWY+yHDZy+EUI4Kpjn8AUnUk/DEHrztOZVRi9NW4zWqTEO51b10K42TORWSPloiKpU3RgihMA+G6eGnJxzLPcNBSgE1Tt1kK48y2s9iVCLlSIWq3r/fD2mKtCmHCppmXOCmPLqVY9ePEJi0SU7rjYVOtvvRFV86HkB3FjGUhDANsu1NwWoPfnaS8zSQyITLBaCikH0cGmnbaoNGt+JmRI/yP2WP81uID/HBxG+kLIfrZ41uGsAHY40zx1r40rmqTVk12ObOkpbO+6axri2rJxSrJThjDVoVUiHgcnUnSHvH4X4a+xpCqAS4X2j18f3EcJl3SRxagVCXcoBvt140rirN0gtUdkuawz2/d/nUecS+RlxYRBmcaBZ5bHCJ1yqT36TrmTJFgk6cV/jiI6nWsrz9Ld28Pp986yJHsCBnVwBRFkFevh4joOuWNEoKWDilHJnOtNMmpgNhEkahU/vFUgm8SrihuWClinYSeoUFixX7K22I8lR9jJpVBZTo2B91Ghbhok5St6xQ4V8aRCE20tloTZmfdL0KN0dScL+ap1R3S58B3JSsPJgjjAkcIEmvedlEUIVdMsmc7Rc6NPBJFjQbi2DliqRQFYxvVQZMjd43w3vgs+yzYZ61yZPvzfD12G+WFHlzHhtZaR0gyTnXIprJd80e7/pztpl7z05IshDDl53Au2OROhKj5VYKtZClxxcNuLW3Z70lQGjPRt1f5/bHP8XRriP8ydz/BYgx5eYJgpfim+ondGtJGCKRtI+Iu/m3DrA447Oo6Q8GorvtGXOnJ7FdtnNhFPnX3D/hi914qVRe9mEGbGpFuk0qV+KXtP2TMXiAtBQuhx2fOfJLJ6Tz9hyLSx4uwuHxLDvNNwdoF5uUduK3K/v5ZHNFh1X0d0opMRMimXUgHKZs7bpvi4Vynd/dpL8tnv/ZBkhclhSNl5PQi0Ytknaq3B3IZVvd1sXQQ6PN4x47naUcGj83vZWolQ/qEgZ8A/6cUBaNEKydoDiZxV0qwxeTGL4e6tphpZojqJqLeJKw3N+11ciOIloe+lOVH7W38ZvjTOCrghye2Yy0YDB9tEq2svkR9pvI5dKGbhX0utz8wwd3ZSZLXtEUthR7/YfU+nl4ZpesEZI9X0Ks3t9Xxb3ELkM8yf3+c2nhIt6qyZoePEoJxcwmViPjzd95Ddei+9ZeENoSOJhxq8cD4Se5LX7zO7PoKHNmmmZfE+pO4iy76SkrJBr7XZHeOysF+KtsgLgI6Id6acG1edqRPZZvEaA0i/QFkoLFKPqrmIReKBPNbRw3Rzpg0BjSm0Pz71Tv5wvl99D3dxl6oQxh20p2SyU6LHYBh0NpZwMsaVIcU7QwEriZ0InQ8xEq0CUNJFEgMKyCTXEIKjSEj2qFi+mEXhCaXLlOINXhb4iTVKOCLZ/dinEgwOL2x2hheM3SEbEmWmp0CHVwde3dbq8QzhzFFiEVEl/KRuFSiFucCk/9WfJD8dyxSk62tOd5KhTHQR5RNcOHjWeTtVX5p51OMGTWWQ5NvNGP83rm3o7+So/9yAEsrnblrA48hrwXScZC5LrydBSY+YqLyHg9sO864u8w9zmXSUuHpAB/NBzLPsy8+xWdr72I6kSB/zCbZ9tH1xpY2pH456HKFwb8yeOIHD/ClwoP4CU1kabQZIa6J0NJCE+tp8OHxo4w7i7wzfp6HM2f5znv2kJgsMPi5FsHM7C08kteHqFQmccLEnU1QXuzhjN3LCfd2IgtaOU0Y07jjZfqSVe7JTbLdWaBL1cioBo9X9vL0yijTxQzUDPxkxNxDJu1MxKDdJhdvwM8WydoNPt71DCNG5bqC3aaC1mg/QFerJE4uYq+k+fyJu6jucviF3FMctOG9yaNsG1vit3d8lN7tQ8hyA7W0QnVPN6UP1jnQP0uv8pFY+DrklA+ffuG/ozaTYuQZn9iFFaLi1mjRhY7CuP6BuyhvU3hdGj8VYRUabO+5yP1dF/ERDJkrfLxwmD/yHErvGCc+M4hx+MyblmJ4i0gbiXBsRDJBeXuM2oBgLL5MlwwwhXGNqVZEl7LpUvBr+Rf4tfwLnPFDvlrdiy19Rq1lulSNfVZzbbFsMeuHTB0vkDspSD+/QHhu4pYc4psGIRGmQTulODAwzd3pSUwhiYjwdEBLm68xfmpjwo8bfKL3Be6Pdf6Pp70++r+nSR2aJFxavrEsLZWgNZhiZZ/g59/5JPvcy7zXXeWrjSz/68TH0bMOmQmfRt6grRVJ2aad0nhZo8M2/4SgFZmU2jGEJ9GNJnqLVa2E5+MuCFqhzfPRMAC9TypSFxsY52YJb1AhF8kEzcEktRH4laGvM6Rq10WllyPF47O7mZ/qYsf5BuLspZtuPvq3ePMRJWJUdwR0D6+SkW2g094kkfQqD1ss8v49xzna37/+mnysRs5u8EjmND+buGLi+NI+d0f4tFPQ6lKd8UUp2OCKtigZpzyqaPf6mCJan5MBQgS29GkVQkrtq8frzhvEihbxdgBbiLTx44og72MJzZPLO/An4zhHLqDrdYiiTotcOoFe86bRMYvVXRaNgsDat8o9vTOMu8uM2Mvst6fYa5lUohZLkaYamcyHqev+nkLjSo8DVouYsAiA6QD0ZJz80QBzvrShK7wvC62RbUGlbXfWJdeQNgPKXfOhUGtfHYvPuo447fXxwko/+R8uEU1cJtxi8xR0kv7CfJpWv8vut07wl9u/jEQicTnvGzzb2EbpQhe7vjEP5RrhTfZEvFUQjo3OJCnusvm/3/un3GfPk1extXYem4iIsm7T0poHnSp2rMWR8TM8IXdSKSdJnE0htP6JKbRdi6jVIvbFQ8SEQI2PEmUTRJYisl7a4r+8J8XX7d0c6Eny0cQEB5zL3LZ/kpPZPvTX4jBzCw7gx0RUrcLa2i31zNWfC9tG7NhGkIsxf1+WC71pirtcLueyDMdW6bNKfH36Nkonc0BnlAkSIeZwk7TlEzN8xlPL/Gbhm+veOEokrvvb4WbbTEUhUSskmriEsZrFOn8b37J2cH/yPAftBQ7acNCe41/2N2gWXGxTYTY9av2KX9n7Te6wp0lLa02lFXDJ7yU8lKXvXCe0Ipibv9VHeFMhTIOVPQrnnhXePnCBh5NnGTWXGTF8GlpTjRTdqsmIO8HFQjef292H7zp0H7dhS5I2a/FhKpeldvcI9V5F5dEG2wtLvC15kriQr5huAtAtAx6In8MiJC09HBFhYrEQevze0ls4vDJM7gVB9lQN1rwHtjJUKgH5LuoFybtyJ9htzWGiKEdtvtEY5pvLu7FKbaJK9Xqz1Q0Olc2ihwtURgyGzRWKocs/O/8hpqZz7JxuoG9wPCqbRaQSzD3aS+0tDbYXZumzSnyvspPPnt/G/GyW/PfNjulucyM2tPwtbiZ0uULPs038pIGX7mwC0qerqOXyy0YTVvYXmP1om73DlxlSNZKyY/Ln65BiFHDMG2L5aA/ZS2AsLXf6eDeoqaw5X6bniMVMMol3z/WfUSuBNhRCiNe0DLkSv+qlFGPZIjvjC5iodanxZocIQ1RNUW04+PrqolciSEoDU4S8N/sCe+LT679LqhZJ2WTULAIvb/I8ZpTZ8Y4JTt/WS2y5h1jLI1wtbWhJ+rVQ1ySSmCjGjDJJ2eKd9xzl0u7c+vOWGy6LLZvWShaz+ADunCBz3scqtzFniuhGi3B5edOpA9w5j+SJGNU9mkd3nSY6ILjwj7cj2wI0RJamnQ/BXJPdK002t0Kf45G0PBqBxecn9lMrxRBKI42IsGkg6grpScz61ap4aGn8XEAs1+RPD/4Ru8w2X673cbg+SvIiJM6uokubc4Oqmy16nomoLPbyWG4fDzpPkJQWxg2IzittDE82R/iNH3yY2IRFpjKxtdp36YyraqCPMJ9i4mMp2NbgU71HkEimgyZLkc0/O/8xFp8u0HtCw2oZ/VqLBEJgDA6gEzFYLnXan6+EYWwQiEya8m0Z6gPQrSo0NPxxZYi5dobDpWGKTZeZuSy0FL0jRcbSK7RCg529S0y4SUTzJyPx8hWhO9eFanooQ93Ql7FL5VmM5/nm7iTVvq9TUJqPFw7z1+IuGl19nZSgemNTx8ZrP0AuFbHqMXpljnbKoHYux5FUnmetzjjtzkL/TLheyG7mFdXRJKXBNj83/gy77DncG+xBPe3z+VqB52ojJCYl5uwq+kZtsRsY2vPIHw2plJJ8uX8f+53H6FchaenwM7uO8F9//i7aJRtreRi1q8J+Z5K4CDjrS573BvndU49Sm08wcsQnNlO9mri6haDDEHdOUzqX5avN2zmR78MLDPxIslJKEKw4kAjo6emQ5u7BZVZGk4hoN+5igPuDs284of4mkzYdhY3uSrO0z6A54vMH9/wFb4t1jAwlr65yyKsYeXVlYLHXNw3zoc1fn9yHcclh/NAy4alzWzqG9ApEIkG7kKbZq3lf/CJZ6QCKlSDgidXbOTlfYGy1eUNVwUaGyKQo7U5TH9QMGSVOtAss/aCPnosa4/LUDRMTRDaN35um9IDH8Yf/A9Ohz+l2N39evIfWY70MTQfEv3kcYRiEu4Z4pY3W32LzI6xUkN87gg3rI4uGV6xSr+5SfPnh3yenNOlrZLG+jpgPbY43B8kd1WROVtELyxtanaSn50iUKiSHd9G+ZqMsRURkiNeVlCYsCxl3aScF+zLT7HLmUEIQba7998tCBBFmXeA1zetIG4CYsIgJeE+sAbEbVVNeeRwZNly+sP0rPDOk+eVv/jLOpQSi3tgcpM01VjUSgS0Mhg2DYeDgwFPXmV1CZ7O9EDaZDW3++eQHOf/kNtw5g7wGo1iHlSLozTUzWzOr5F+Q1IZNPpQ8yk/Fz/B83wi+Vvha0W1UeZ87RUo6KCEJdcRi2KAUSf509X6eLw3inU5TOKYx6xFmLcSseKiVaqe1Y3FpnchS2Sytg2OUdiQ5t7eXEWOaL6/s4/n5AXrPtQlPnbvFZ+PHR9Rskv72edJdGZ55yzDlXo0pAhI32CRFRLR0wFOVHfQ9bhCfbhCtljb1pvJGEJaFP5ijNuTwrnc+x28Xvo0rTSSKqTDBsdYQ84cL7PjjWXSlSrhSfO3vrRTBQBetvENcCEQQQLO5oUiOKOVSHlO0+9sUVIO6NvirubuYWs0QnEzhFAXbn21irlSZfUcPT2/LM3DHAu/pO8k5ZwxaHmxRA9TXg1e7LpxqjcFSHzNhivojkgHT4eeT80gO85+6PkoilUS322hvE99fUUi4sAiAujhJDIjH4x0lpOqkX+pa/bqCXWLbCFatwIJj8tHkC4waLtfO5+FaQa6lA76weBfPTw3SPxkQTs9tWOPml0PU8kg9/f+z9+ZRcp3neefv++5ae3d1V+8r0NgJENwpcZEoido8lm3Jtuzj2HHGYzsTjx17JnOSk8l47DPHx2PHcSYz8b4kkhXbIyuSzciSKFPURpEUQWIhsS+971XVVV3r3b/5o5ogQIAAKQJgV5O/c3gOiS40695z77e83/M+zxzJ82mO3j/IyVw/tj1PRsL/njvMv+o+xElf4+nGDnZYy9xuQj4Meao5wGOrtxP72wy9sy7mC+e3bjtiGJJcCIh0nUY9wYV8DHNNYpUEPXMh6RNrOMMZ8gd6qE0E/OYjf8Ocn+X31Xux5ky2n8zc8GToV3NLizZaV5bmnaNUhwy0u8vc17PMsF6++DUayuO38vdxaG2UYj1Ow7lyMdzXUeUj/ScYt1b5aHzlojKnHMYxpmwy50FUb11m+luNSsWpD9n4mbDlpbuxgF4MU3zr3AT6tI2ot5H28VI29gK+klTDGFYJYsXgYnS5sKzWgLx9GK8rxvIBi9poxN6RGU758NelB3ns3H7UhQRDp12sQrMVX6zrRLokemttuN9hE6FvG8MdydIYDumQEdarNhIzgcavTv0g5xZ6GF/wWklbtzDm7/xvz48AACAASURBVHtBBQG4HkZV8Xh9goP2LAdMjR3mMosPC5KjPQx+SSEXllspJFfZEMlUCplM4I/3sjYRp3RbxF3xKcaMNXRM8pHL16r7OJIfossL2k08fBFRqdNxJks5sjl9Xx8DeksWfDUVwNsBZWl4GdAT/kUry5dbpF5t6viMazDnd9Gnl+mSDSoqSTmMcyCzQPm+GCtraapjcRKLCQZ0DbFeI1xe2VSbx2uhKlXsBYPOk9382Pb/nv5UhXs7pzFESKgk85HBp4IU60Gcr6/sZL1pU29YBL6GvmhhrAty50OSMw2kGyAcH+F6qFod5XqXK49yWeY/YBKNNJEi4nk3y3eO7iR9TsdaKrT3QZRSqKaDrDcpFQb4Um0f70mcYZ9x5UfP+CGPVe7g69M7GJ5z0FfW2zJI4bWQto0YHcLvSTH7IRtv0ONd6fNYQidUCh+P/7j4fRw6uY2eU61n8JoKmw0jX5lMIGwbf1sfbsYkf9DA7Y6w9ndjlbvoPtZAvnC6pVLeBAUwuVYlezKNUTX4cOx/IooE9skYRhU6F8NWgXOpjKg16DqZIlY0yJf7+ZOBHJkieDv7UVIQaaK1vjt1YdNc22ZCNR20/DpGNUV0yfid1hwqIzpGrQ/TcW5pCs6tQHl+qxVZe0WBJOPxi+9LlIgR2AJltMbggJD1qLWuy0gTiaQWuSyHcGRmGPtEjNhKrT0VfypC1etIXSOa7+AzffdjDHyHcb2ERGIIyEmXg/YsUkQccSVP1u7iT48+gL5gMXqhibFaJdpiz8ilqEgRn62gNxMkVg28hMSsR+j1EKvQRJQq2ELQLTMYdZ3f6P0I6ZjDzpEVpuNZgp4M2lqasFa/aWPQrd229mRZfNAgGHf4q4Of4jZDoV1i3NiIQv7qu/eTe1ajc9ajb/lKdcjaHX388Uc62TW4wnsn/obMxuYqH6bpeikic2R1SxkjXY8gm2B9XGJ11zEuMUy94PWS/m6MzJSPWm8vlc3LKAEIcJTOWpggvhphLzZaBnxCIONxRDLByj0ZKtvh/vcc59cHvsQZv4unGzv4/MmD9P+tSXyhgTx04pVFXzxOZGooHTTRrtvMd7iR1HfnWL5fZ2himaxmXUwdeFnJ96I7yMw3RumeVpinLhBsnOhsZlQQoOoNYqWQL6zcwVK2g13Zoxy0HH75g1/m8fxeameGSNRbp69XO2WT2Q78gSz5OxPUH6jz7tEZPhArE99IU1gJTR5f2EN+ppPuZvsavof5AtlvhJjVEY780CjbzFX2GiH6ddp1typhzMDNBfR21DAEl3naXPrvjgr4u9J9HCqMclt2iT3xJaCl5np/+gT/Ovcci2HI0bsH+KPZ91BeHSCxEEdfK7VN0SYsFKFQpBcoVbo4s7eLoQ+XSemtTfSal+C5pREqxQT9X9XpXnTpqziIpgerBcJKrdVCqdR1mwm9gQw/831P8IHkCeaCLF+v7mH4cUh+88QVhvvtSFSvg1KYi6N8fvEgvaNl9hlXrtcOOyN86vj9GCfj6CdObBkPl5cRqRTrt3dTGZP8Dz/4OJ9MH6NbtmKKm8qjHAW8cGgHO/6mibGw3Eooudbv01ppdnRnCTuTLD6UoNkfccddZ3mk6wznmr0sO2lOmbsZPGmjhEvkvPUbz2BxmfhaiUQqSc+hHoQfIqYuEDWdDbP2iHCjqKmvrJIWks7towQ9aRr9gsK+GF4GvE5F5qxJz1wCVW9simvbTET1lsLELg3iKO3iGN4hG1S2RyBsBqZTLSXkFkL5HuoSQYxMJBCpZCvJz9AJMjZBTBBZEZLWfDYdmGgoDN3HEJLlECaDLPaJGIPfrKNPrxC0Y1FQKcLyOqLpkDk7xEljlOcyS3ws8QLQ8u8b0mMM6T6nfJ8vV/fzl+fvZvxTAmt5jej89JYr6l1BFBKeOIMmBHHg0hxQpVRLpb+8gnlK0D8+yorfz+pEhv/54/+Fyd4cjw1+gHQhi/S8mzYG3ZqizYaXTZiy8PoCBrvXSQkfTRgXvSJ+ffHDvFgYIHNCJz3jYK7UEKUrJVhGo5PI0/AjjVCpyyLthAIRKVS0NXwWronUEJpGo9eiucvlYN8y2iUy9Vpov1LkaMcXLQgxmhFaU6cStTaIzazE7I8TdwfRgpDSXTma3ZL1Az7d/evsTKyyFpl8sXSQJ2d2YJ2JkZivoRWqhJdUxoVtURtqGUWmZPOtusJ32AToo8OE3WkK+w2sAyXe1TO1YQDZ8vBwVEAhDDnRHCI1q0jNutBOxsMqwir5nDg7RG3M4uc6XyAuNPba86x0pHls7ziRNUTqqE6ULyK7s6i4TZBN4KUNCiM69UHwRh0eHJvivszUZb5jjtIp12LoNQ0RtvG4G4aoZpPYSpPPvnA3T/TuZEe2QLdZ58H0WQaMErbwMYkY0gM6N4wKr0ZNucwEAkdpOMqgHMb5ZmU3R0tDxAthy4fB35zSahmPI9MpSkM2g9tWuTs3iy3ExfcBuPjvS2GTfGjyYnmQhdUO4oZHSnd4vjjC7GqWro4ae7Ir6CJCiggn0CneJqgOxejsug2zHGCemENVN07vNrnXjShXSc0mUNLm8cTBi6ez0hNYRUmmCsm5Onqxjqg3Ub7/mgq2V6P391G7a4TiPp0JawVfafzh3Hs4v9TDtryLclzUVulFhIueEpG60n8DYNHrRC3Z2EXVVl5810MmEoihfryBNIUDAm/Q3fDREBQiD0f5fKFykJeqgyRnJXq+inpVsU5YFjKdRsRtwu40Ycyg2WsRxAS1QYmfVLCzxmBHlQez59ltLZKSTQpWmqNdu6C/B7G23opRfqtREcrzoNFEK1QgjAhdt9V68urxQClQIaJaR9c1mvtilG/30VI+2UydotlFcmE79moDcexM2xSFL/Jy7PkGKlI3/LReqMs9yqSIQGwckG5hZDyOiNl4B8Yo7bQIbEEQBz+t8Ht9RocKGAJWwoi/Kd2LFIqf6HwWW4T8afEhjpaGSC4o9EINtRnemzeJ0kAZEYa4/PlqKI/1KOSxyt382fMPEpsyMVfWEOX28kR901xvLaIUNJoklwLcrLFhrL9xXzV5VV+pG8UtKdoI3UAmYtS7be7YNcWD2Qt0aa2b0lAhp71ODn/6AP3fLMLyacLS+sVewldjlQfA1Wn4V9HUvo2QpoGIxSjt0Pi1+/8rO82VyzZTS16GzIkS4anzqDasCivPwyp4mBWdfJhGQ1EbUa0T4EyWyBDEf3KRnx9+hnvsGYZ0OO5ZnHAH+Ptj+xn8skZyeh2OnWkVbC55CVUqwdo+EKM1+vStdYL3Dm8AIage7Ke4T2fg/XN8duf/hyV0jJfTolRENQo55AzzzOo43U+vEp6fJmyn90kpzJkiA//Qz+Id/RR3CnpMm/faPsP6szzx/l3M7exkrNlDHKje3kejR6O8W6EP1/nA+Fl+LvdNOmRA74YC6dJxph5ZuGsxEmsC2nhSV0FAWF5Hnp5m1x+OEqSSTI50capT8M33bGd/zxJZs0FCd/lY5jD3X8N+bSWM+K/r97IexCi4SWarnRS/0U9iSdF9YoVordQysN6EyM4OvIle1vYKHtvzFwxpBpZ4OUnrlZW9r0KOuj2ccfs5P9VLfNLkvOzB1gLmnxlk7KsOTq6LY705nC5Bc9wj3tHk4UdfpB6YvLTaT20lyY5PDWBMLaOKpU3tDwUQLK8gVvJ0PKfR+YVXLZ2iCLURsXpx7fIGilDurgFqP1/mgd457rMXOez2sPCVUQbOBOgXpgm3wEbhjXC63kvncUFqzmu/zfc1kN1ZVh/IUR0VPPqhF7g3dYH77TxxYXDMi3HaHeAPv/MI6dM6fU9XCc9PXfEcyXSacLyPZn+M4j4dtytiaP8yu9IF/lnvkwzrPpaQaAgMoSGR+NYirprl98bfQ21XJ4lJDTaDWlSplsqzWiWq1S7+2bUIiyVEpUrtH3XzH973XxjUy2zTA35v+E7+3HgPqbMZBs7G2s4oVpgm0mpNLEophO/f8NN69SqPsrcLsitL2J1h5iMW/+TDT7I3tsB91jKGEJccdku+6/TxuSN3gVTsvH+ZDq3BF566l/R5ycDzhVYa8SY/XLgeQghCWyDiIXF5+ZxbCENe8vr49Ml72f27NWSpQriySvCqPdQ7tKLnEy8uEcQGWQuSREoSaQIMHcTNe7duSdFGppNEY/3UBjTuT+XZZq1iIGhEPk87vXy7spNYMUIUy9d3MH/nuQFAJBOQ7cBPKcbMAjmtiSRGU3nkw4AVN9XaRLXTBvNSXBe97GDUYuSDFJb00bfXqHZbNPoMlK74ZPcUu80llsMkF3yLz+bv5US+j8R5k/hiHa1UJ7jagk8IlKbQNwqHkRJIXyD9CNpZLfAOr58N9Z+b0Wj2RgwlyiSldXEhE6pWzPFapPNsbTvLpRQ73FJbvk+q6RBf9ogvx/js+t28K3GOd9tVOiTcnZvjRS1k5d5+YqOD1EbA74jIDK+zq3uVO5Iz5GRAQ8ExrxVf3SGbxIWgW0uQlg7xXB2nnmpNVm2O8jy0QgXZsElJgVXRyb+U4ZlcEpnysWMe43vy3G/NXfF3a8plMVA8Ud/LX528G9/RwdHQaho9UxF2wUfUGq02zU2aOKaCAK3uo9djHHUHcMwVdhkhvgo56WushUmeqU+w7KY5vDrMejVG4pxJciFCyRgvro3RNQnGahXpx9FcCyUNmtsgiiQrTopmYNBsWMiGRDoBKozQenMgBFG+QLRZCxQbJ/0qCm9YgUnryqKG+yhOWNzZc4Zd8RWOe108W5sgvqyILTXbS9n3ehCCyICU6RKXV1cBJ3UPLy3wUzrW60y429RszDdRZ4rKdvCHHG5LzDNirDEXGNSVyb+f+yAX8t0kz+uk5kK0uoeyLGR3F1E2RZi08DImbodGfUDiZRT+tibpVJP7ctOMW3lGdZ9OGSMgJFSKfOjSUIJnm6OcdfrRFmysooOsOZsv9+91bgpf9hORviAfpOnRqiSlRr9RRnZ4+MlYq/1FiLbaaGo9OfzhLpQhCS0Na7UBL565aWuOqP3fqteHEETZFM2hBEG3z+3xGcb0Ej3aK80vs0GDL1QPcLQ6BJ4EKyIhXRLSRYQgfQVBq3AhUylEPIYQrTAHVa1tfmNeIUBIpG0hUkmcrKI7V6HbqNJQHq6KqEeKamSQkk00TfFyE4t6p2BzdQwDlYzhxyQprYkhgtaclY1jLJnwGgm1b5ZbsspWgz0svC9DbZfHT3Q+yzYdDGEw6fv8X+c+zMpslp1T9ZZPxDsPx+tC9eWo7czgDXrcbjaxRatCnw8D/qGxk9NrveTazN38UsL1CqJWJzl8B2cbfTyQPsfn7/kjEjLC3xhPcppOiOIX5x7h0Pwo9tdT9D5XQVuZJVzeqA5fB19p+GjoTTCrIWzStoV3uLFIy0LEYtSGBCN7lrg7Pb3hXyNho2Djq5CTbj9fPL0f/XwM5Sy/1V/7eyLMF9GrNXrd7Xx628N8bvQgf33Hn7HTsPmN/m/g9kVM7rCpRDZ9epWUCEhIgSUkkVKA5JvNQf56+V5ydo0DyXm2WSt8MFZnwnD4l/se53Pdd+Nluq77XTY7ynUJZhcQUmBc0DCFIPV1CwyTYOcgzZ4kf/lP7+VnM1cWbaZ8yWfL9/DZU3cy8W99tLVWzDVBgHJdVBgSeN6mnuOi8jrS8+kYS/C75x/l7twcv9b3JPlQ8LuLH+Vkvhf9Kx0kl0K6p6v0VMqoyhyq6ZA1jdYi1nGJXBchJDFNoj5wgPpDHkrB8ekBVFPHXtKxi6CtlogaDRr3jOFmNLLPSKLp2bf6Ntwygl3DTH0sjrmjwr/qe5xyZPKb8x/l6NwQO46WUKcmCdt4Hr8CqSFMkzAVsSe9TJdWu+rHxmN5vrIjRCiNpGFsjlaeN4EwTWQ6TWV7ivc+epQH0uf4cGIGTyn+pNQK3yj98QjjL+QR1TzKcRG2hejNUbp/kOIBQTDi8PCO04zFirwrcY4OrUGf5mIAcamhIYhtqOKqkUdDKZ5uDnPe7eXPnnmI9EmD0RcaaN89+brWRpuWqFU4NUvw5cJt+F0a91hzDBtFdg8uc3JtBGGZCN3Y9Oq9S6kf6GfhPTpBOiTW3YCjHYyetYgaNy5Y5WULx7dNwWaD6o40+dslt2+f4RG78oqaeoN/aOzk97/yQaQnEAmFSPoMG0U6pIu61NZOCBgdxOlLEFmS0JIkL1Tg2OYu2gjdQBg6YqCXMJtE7q7xL3Z8lUG9xGKgmAs6mPZzjBl5dhglcukabk8WKwKxsrql1I43CpmIU9veSX1QsM1cxVcalW1AFKN3JgGlm+Ote2uORqUkNEFaIQkRXJRbu0ojX0xhrWpode+i4dgbIdp85wW3Bk0QGgKhKQy0i94+a5HJU+UJCsUUOX8TyF+/VzZks0Yt4HB+CF2E3G/PkJU6EklExGIYshwmOLI8RDCVJLUYoC2tEVWq156spUBpIGWEr3Q8paHXwah4m9Zr4h1uIEIgRgbxe1I0+0N2dawweIkZ5suxxSe9Tr5W3os2bZNYVO0bLRqFRI6LVm6QnE5Ri9I8vmMf+dg0A7qDLRRDehNoXhxN5wKDchRjzu9i0evkW4UJzkz2Y6VdSv0x1tIJHrGPYgjJoFEiZ9WYt3oQut7+E3wUtoQwwUYalucjTYPQ0nAzkqxx9bFlIczwdH4batlGy+eJCsW28Gq5jDBEuS52wWfyXDePl5Ot9D7f5rtnx9HzJoOzAfZSA7FcJKrWiBy3dRp8lb2F8sEqeURzCSLAbAikD3oTNFehOlJI0yAyWgo3FbPQ0umWEWkbbbjeKELXEaZJI2vBSJPt3UUksBB0cGRmGH3aRlbWCLbYPZAxGxGPoeIB41aeDukCV/YaGiJE6eryDVMbI5MJorE+6r0aexJL7DRXSAqDBj5x6RHXPVbSAr8nhcilAHA7TbyUpLRbEo032NGX58HMOYaNIgetMgCeAp9WW4OjNBYCi2oU44yzh6Kf4PDaMPlqksSUQXo2xCjWCdv9mdrwflE6pIxX1FoNZVFoJNAaEqXUplUzvhahJQlSIVa2yYH+RQ7NJxExG+G9yRZBqaFlO1ADOWqDEkO8cl98paE1BUZ9Q0myxdA6OxGJONVBDX/EYUdqFUtcue11IwOt2VLch/HWfO0oA1/5kPFxui38nhRmtZfKzgyVUY3IgEgHrZnEOnarr+x1IkTrgHL7aMtTtsPCT0qccsR/XniAuO5hypAeu0q/uU6fXiYhBVm7wXJfLzKIo4ub589ys5GJBLKzA5WIEXQnIVJodRfRcIlmFt7cGkMIlA5KgkmIj4b0BLobwU301X1L9eyrYZLYiRhdJwJEsfxWfpUtw9ONHTz79X10znCFgV07Yi6UcL48wJfGurn9o3PcE5smJTyqSud3lj7C8Xw/9mMZhg6VEPk1wuLa9eP4RMst3jICimGSfJAiMx0gj54lbNeN+Tu8bqRlMfcDvTh3NPjH+77Nz3Q+R0JI4BWfrMfrE/zW0Q8hz8XZ/ullKK0Tltt4jIpCoqk5Bj9TJhof4PfVB6HP5aHt5xmLFflA6jh9WoPvNMeYcnv4+/l95Jcy2LMmqRlFcsln75kVmjt6OHn/To7uGebnHnqOjDTpkg26rRpTaRO7s5Oo1D7JQK8HmYgjkwkWH7LQD5b5eP+Rq37u8fJ+il8doG8mbPnWtFvBho3EsTDEeO40e853gq4xZw2CUux1V8HziWp1lOcR+sHFVKRrob1wml3T2dZ/hCEq00rOCSxB/t4sIoLYWkisGOD3JBEdcYypZYLllVtwxW8NsiOD6stRvE3n393zGTq0BpNBhk8vv5ttfwLmhVnClfxb/TVvLFJD9ubwezOMDRX4ZOoccfn28CaMxgeY+lgSNVHnQ4mTjOr6xc3jg4kzDJlr/P4PpZl5b4pYzCNueTzSd44HUmfpknUy0iUhIzIbihpL2MwGTb5U28d6GGPZzbDspHjh9DhaWafzFNiliMR0jdFyDVVbRTlOq8Da5kjLQtgWTrfiB7qOsM0oEGFwpDHK2rEcmQuttW+7zUGBJZBJjwMDi/zm0GP8+PpPQ3cWCYRrpe9pLhGGibAtGvdtY/ZHQ3YOz9CrRReNiMthgvQUdJ5qtJ0H0PUQuo575zYqoybmowX+Yu9fM6w3uDwT6CooUKHknNtHaK7y6N6TTA53sxgNkxobo/6JCv/LniewhY8tff7X9E+y7SubsxVP6Aayv5ezP5VFDTlEQYhyYfBxCb9t0xAxGkJw+Cd2876PHGHIXCMjTd7bfYb/8PAIjTM2gy9Y7XuAMjHC0rs6qEwoHnnoJfJOkmMXhrHmsmz/Y5dgYfGG/a+qUYzUjKLjTB1VvbqC9EZwa9qjdElkKTQ94tKaXYREc0Cvh9cdYF8+mXITGjLl02k30YQgVApXBVRDGxFyUytcmwllaAS2QNMjtA3To4iIQpAklhfECte/p21B0yG5FBKZGn+f389UOkdGb9AILb47O4a/EmN0KUCsFFHV6rWvWWrImE2YtJBpn1yijiZaahvpq83rpfAONw4hWuNIVrG9L8+e2AI57ZWT3ohWxOiUm0PNxknMg1pabUXVtjnK9wgLRXTbJjGbwnFsntbHOZ3uodJjM2iVeWptO4u1DIXpLLEljdSsIj3lYCyvE8zMYSfjWGsWzapBCK1oROmT0hz8hEYslUBc7z1sJ4RAmAbEbNxsxB09S4wYxcs+4qqAmvKZrWdJLEfECn4raWETLuJeF0oRNRo3TJYfOQ7RJYsjLQjQm1lCU9LokygdgriG5mjIwECGis5iErZw0YaONI2xNE6XYsxYYy2M86Xy7Rxf6mfbQplgcbkt/bOuhdA0/N4M9SGb0XiFtLRf87Mp6SCTPoGtt7wj2hRhWch4nEZPDH/YY3vPGl2auliw0YQgKx1Co8hd3XPMxzvoi1VJ6Q7flznK/RYERPhKkg8jjnvWRiJdgvPubp5Y3U3DN6g0bRp1i9i0gbUOmSkHo9hAzC4RbMK49JfvC5pEGAYqCFupPNdbv0uJzHagknGCdMSAXiIhAlwFy24auyCwyyG0YfuX5iuipk6kBL2ayVCqTGHbOHbcQosUynWJms03NK8IQ0fEYzidGjuGlrg7O4shJBGKWuRSDJMYNYW+3txS6UAyHkfEY7gdOm6nYCJd4jbTvWgj8WoyWh2vK0R6ksiO0M2QcGO3uiu+QlJzOT/ST6Tr3N6zzH32NDNBJ8tBBrHZtpwb/lnCNJDZTvy+DoIun+5MnWIhhXAksWW3Zaq8gbnegx+1ZI0SSZ++TrqnhpPvQGjtq7QJ0jb1QYhyHgN2mWZoQMSNqRXIlvGwElCMEqwGaYy6QlaaN3X9e0uKNkHKxBt12dFTxP4e51+tu4tgpIf8AYN/fdd/Y7e1SFxo1JTPs06Op9e3Y1YCVL2JehuYyTq9Mcq7YChXQiJxlU8+DDhR6af7RRdrfn1LnKqE+QLpb/hkUklKx0f5VmwcPyYREYxP1pHlPOSLrdPf60zUWmeGYPcIhf0xfvGOL/Pu+Dk0FHNe+3txvMPrQAi0VArRmSEYcPl4/xF2myvApRHWAdUo5Mtze9jx6TVEsUxwA3vKNwPhSp6hzykwDVTcJrJtDg3fzdMxSWLZo6Pikq0VEc5G1HCjSeS1TlpEvUlyKaQ+rOErsITBqA4HYrP89U4NoXpI1htt70HxMkLToKsTrzdN/65V/s+h/0a3pnFpS8dxX/BE9U6OnR9mz6EClCtby4fkRhMEmBUfp9Nm9IPTPNh1gaxeQwrFoco4s7VOyuEQqbMX3upveuPZaO0o3duL88ky9+eWWQvj/P7SI0z/6U4G5j3U0uqWK9hAq0Vo6r+LY+0r84O5w9f87D2xaX5q/3f5VHQ/mO2rxpGjQ6wfzLF6t+D/fuBTbDeKdF5SrNLRGNUVwziM9XwdRwkMFIaADqkDJouBy2SQ4Q8WH+HICxNYRUlqRmHUI+LLLkk/JO34iKCOqBfA81H1RisRb5OuAeXYMKU7u/ETAjcr0GvQedZF86+9dldCUNxnUx9SHNx/nr1GSDmC877guaVRBr5VRStUCNpQMZ2YbZB9Psmx5BD+eMg/6X+Kf/srSc5M5xh5bAexlSbypXNv6HBRZtL4Y72sT0h+e/yLjOk14iLGeuTwlNPLk2u7Sc00UZOzLWXoFkAYJuHtO3B6LMoTGk5PxHiiSFyYr5mY9dHEDCMf+lOm/W6+mD+ALiMGjRJdWp0fSr2IkYbvf/Qo5ShOSjbJR3F+6flPkvhWktETb6yQdrORloXs7yXozTD/YBI3q7AzNWpNi4Ev6qRfKsLSKteaYe6z5/jVvX/Pr4bfD4Z5jU9ubta32dzz/lNcWO/iM08+RHxJsvMbVbS1ImFh7c39ckPHT0iU1lJZT9e7SM41UfNLN3XvfWuUNkIgtAhDu/wxkUREequXE+3qzctC1xG6TtTdSW00jtMbcZc9Q6/mE6JRDAXP1iY4W+oh7YSwiZM5biReUsPvCuiNtySNIQpHSaqejVF2EJXa9duE2gAVBISFImK9StzzL240UQo1t0T4BiSdwjDwMgZeRrDfnmOXETC/dQ4X3uEaCMNEGDr0duN3p0ikHUaMIikRcGnRZj0KmQ6SlNcT9EyfJdwCCptXo3zvclmo1EitDbXeq+U80XqF8LUSA8IIzY2Q/iunL5YwSEuH0AY/LlvJHVuBjXSIMJvAyZkMp8qM6VdKq5eDDEcrQ2hrBqytt2Tmm2gRd7MQlnVRAYsmUa4Hvo8Ko43Eiau3TqkwQmsESF8xnChxd3ySg1Z5I6Y4wpBjvGANvwVXdPOR8TgimaDRI3lk6DydeoOzXh/nijlyZxoYSyXCLbJ5ugJdx8uG3JFboU+/tvqjQwbcHp8lkTqIsO229cpScYtmlyDo8rnfztMlY5f9XBOS+IYpamzjyL6mXFwVkQ8DHBVx/KYu9gAAIABJREFU2B3lxcYwL84Pkrogia9GZE6VWwlQ+SL4ftuphMNMjNqwxE8q3FyAXtHQXBPtOrUWJaA2rGCkyd70MjFhklcBC2GGWt1mIL+GKq+35R5Aq3vEihFrNQNXRQxq63zfwEv8PfupDPWjtBjJyTgiCF53Z4LKZmj227jZkN1GnU75slG14lhjhJlKJx01t+2en2shNInXadLs0nA7FWFnQJdRv2bEeUba3Gs5ZLVZvmnsIlSCchjHEAGOamCLgLhs+SflwxQLfifhcpyukw7G4vo1CyC3GmGahNkkbpeF06MI0iGhqxM1dRLzTcJzU9c9FOiQkr3mMl3JBsIyQWpteZAQ2nB7eo6VZor1giS+rNAuLBBVat97y9fLnloxC6dTECQUZT/GWjNOshkQNZ2beq9uyeraKDmYZzOcFn0441zsp+zQGtTHQmRgED+fhJVXjHOFroOmIUeH8AYzLLzH5t0ffpGfTE8xbkQ0Ijjmxfhs8T6+85/uIj0XoJ+dItpK0vxrUNol+TcP/y37rAUAXBWxHtmsuzZdhUqritiGL9lroQK/VbzZ2EgBrZfjjRCPUR3WcXoiOmRzw8B56z8rb3eEZSEnxvByCaZ+wCQxvs4v7/o6d1prxF9lSve5ygH+6MSDxF+MvS3GEaDld7O00kr+cd23z3VfCyGQ8Tgy28nkh5MEOxv8bNeLV/3oF4p38dJXd9FzNkJVq1vmxPJaCMsiunsPzR6L9XENr0ORnoTkvIe1WkcuFVseGlcpqkf1BtqZGTLBMF87t5viSIKf6nuaHq3K7xx/lPBcktHJ5ltwVTcf9127WbnHQruvxM92fZs/Lz7Ap7/+MVKTEn3yPNF6ZWu/fwJ0EaFdJ0CiW5rcbS2zr2eZ1b3bsNMJonPTbeetEGQsasOQ7qpjXGPTCC0DfFf5/Kf1PTy/PsahuRH8lRjpcxrZMx7jZRc9vwCOS1SrE/k+kee3ZYGitDfJ3R9/iZHYGnvsRRxlsOh14l/iPK1tFLFCJS/7syFzjZxeYbdRAOIc8/r488UHEbMx1Fq51dbZjkXzQonUGYG9P8thN0tWq/HDqWPs3bbAH/zYI5ya62OsOo41V0LNLV6z0CJ3bqO2o4P87Tpd717mR3oniQsNX4U0lM+3m2N8+smHSc5KssXpLRXnIkyT8oRBZXvEbQenebT7FO9JnAFeWzFSihwOuV08X9/Gt85NEDk6zybHiSKJdSKGWaHldSOhOh5Bj0v3YYH50jTqje5Dbja93Sy8L4ObVUT9Djg6g58ziM/UkVPzhK9jX2gJnT4toC9RoTwyhKFJwoWltp2bIiUQEYhIgR+g3oQSWsukob+Hwr3d7PvRU/TYVdb9GBXHIuW3ku1uJrekaCNdH3sNnHUDR8mLcXO2CBEdHk6XjYpbl53QilgMYZkEuRTVIQt33OFf9j9Oh4SkiFGlwbTXzYlyH90vNjCn84Tl9bZ9qF43QoCQ+OmI709ewBISMPGUohzFaXoGyqm03eLmuqhWT++bmYqVZeB2CMJUgC1CQKOqjJYfUtSGk/w7vC6EruN3x6n3m3TtLPIjo4e5JzZNRr4yiYdK4RNyqt5PNJ0gtqLgbfRMbKWTthuFME1U3MYZ9HnX6AxjZuGyn0coIiJma52kZhTxZW9jE7X1nxuhaTg5k1q/Rm1biJFrUo2SKGGiNEHMD5HlKlGtduX9UBEqCJBeQFiPs9pIUQ7j2MLHKcbILAv0mrelNhIvz9uNXoPGDo8HepaYMHRqoUVySpKeDVDrlXfeww0soZPTBD1WlbkOHb0WQ9Mkqs26XiJNEpkKy7hyXdpUrcRUX7UyUOuRoqp0ni1v4/hKP+pCgo5Z6D5WRzzTiqfZKqvbIAb3pSfZZq6y3yxhC0k8tXAxBfVaqohXiKMJyWqQZq7cgV4VRG186KAaTWSpglHN8pIzxH57njtMiS0K/GjfIf5W3sFi/3akl8YoV5HQSsm6BKFpIAReb5LqkI4z5vGPRr7LDmsZQ2g4KmAx1DjdHCA5I0nPbngJbSWkILRBJQIOZBZ4X+I0A9rl9ykgxFchIQpXRUwHJkcaYxxbH0SsWpiOICrpaB7kjvjEllqKa6UJpJ+m5tjEV3zC4ptssbkJqLhFoz8iygTYdoDj6CTPlglPnr1SEfSyakQDSwYXi+maEBhIbM0ntHV0y4Q2TJESETRCi0gJIhNCo3XoLzTtjY8TG/dKJBJ4PUmavYJP5F5AExGfXnoXjYaFCG++Mv/W6Njnl+n/mkJzujn0vhE0McOQZpCTAZ/c9wKHB4ZZnRshm96P9ENEqCjuTVIfEDj7mrxvx4vcn75ATgqkEDSVxzebo/zacx/DnLLZPj9PVCi+qepZu6D39qA604QdAUlhXDQhPu518f/MvZ/adAa85bf4W24yNl42dyBN7KECD/fOktMilsKQ/23yx7kwn2NnsfmmCkLvsAmRGloyAf09zD5qE4w6/OLYIR5NnKJXi7i0LeopJ8F36jv52vO3seMLdbRC9R1fkrcxQtMQHWm8XJKJbcv8Uv8TTBgO8Ep7w4teyFFnhMnzfex+oYQsVwna8NT7e0GYBqWdOrUdPu/bf4pHO09wZnc/i26GY4VBZlYzZJ7L0f83IarRuMzIWx8dZvaHh2gMRHz8rue4JznFPfYcAN1DZdacLF3HY29ttOUNRuvuhkyStf2Cf37fEwwYJU55Ec+vDNP7fAM9X30nufBV6Gj0mRUqIxKIkTlutp1XlrVSI/tSlnyik/r+iCQKiWA2aPDv849wvprj1NQAoq5hrEu0piAzGdGT9zHLVWSlCWvlTdV+cSPoebbCH+o/QLNHoXbUGc+t8evjf0ev1mRAt5BoaBubxPA1xtSXf77qpykXkmQqt+zr3xRUs0nk+/Q9neMz0Yeo3uHw3CP/Lxlp8kBsmsHBEn/yz0LOrXXjPrUDu6AwmqplqrpBvU/idUKws8HD217kYGqORxNniAsAiy/Wh/g33/o49pzB6LfX0VbXCSs3L+nmrSBqOvQ+55BYMDm9q5ferghLGEQofBUSEfGUk+FL5QOcWu/j/GwPsmyQmpSYFcW2cw2kG6A0iQgjtOUSamP+EkLSV3WI0jG0hcLmKqJKDWkaeN1xunYVSVkuU4vdaGX9NePc9cEBoq40tbGAH+96hj6tAcRwVEAhDFmod2DNl1FLq225v46vhnzmxL2kkk32vP8cL84PElvbQWzFQTszR9RooDzv+gdtQqD39RIO5SjsSbL6UEC2r0CI4OvlfVz4wg765kJYnb3p13RL1kVhpQKVCsmxDqbcHsbMAr1ak7jU+GD6OP3mOr83OIpZs9AdhYgU6xMQbW/wyT2H+T96Xtj4TQa+CilHAWedPqwLNslZhSqvv31OqOIxgs440g4vJhBAy1dhMt+FWZJt6Zx/UxESYZp4GZ33DZ7lgeRZ4kJjMRJMLnZjzFrIRnXLLYyuh4+GH2qXTfpbCSEFIh4jyMQIxx3uG5vm3fFzTBiXD3uhUkx6PTxbGCc+q8FzJ16XhPRtiVKgACWuUEIo2foHKdu2B/oimoaK2/hpgwOZZe6xBJcWbACWwzTH6sOYRQ0xu9jyInkbqGwAEBIvo0jlajzaeYJPJAuQLBAR8c1snO8M7uQzpYfozyRb7+HLLWNCEnamqN/mMj6U5/s7jjJhVOiQOg0VkkvUKGRShJbcUkUbkYwTZJP4vR6fTB0nH+lM+1nWKwn6ZvNE5fX2fl9uEinNwcso3JR4Td/DzYyoNUguJFlfMymEBqZwMBDMhUm+szTOWj5Nx2ETey0ivuyh1zy0yUXCQhEFW3ZNIqcXGWi4NLZ1suomOTtmcnawF8wVOqSLJRQaAtlyvmz9HeRFawWASLXuTsFPIqs6erO91bFqw6tGP79Iv9eDH8+Qf1gwrEcM6Rb9WpO9w4/xUm8n/7T0k7jLFnpdIl8W1QtojPl09Fb52NhL/Gznd0kISVLGiIjwVciJxiAdxwxScwHi7CzBFov5BlB+gDWVR69lWG2kgFbCo09IIwpxFLzkDPHM8jiFxQyZlwxixYiO42vIapNwbuGiCkNxFXVbqQRX+/O3GCEFGAahLdnZmceSAZN+D5rLayYlqUwSpy+B3uFxm+libLSQtTy1YlQcm9x6+aptzu2AWQlgPkZzPOQTvYcxtZAzw7uJ9BiZpSQSWqNLGKJeY+wQmobQJKozTX0oTnVUcM+eSYZjJRqRxflqN7mjDtZ08ZYUQG/pushebfCfn32Ar4zs4c/3/AWjus6EUSGrneHMR/uYfLgLP9KIlOBDHUvsiK1yT2zyst/x+doQv33yQziTKca/0cQoNIjqW7P//QqEwO/NUBmPkU6VL/vRoteJv5AgnWdLGBDfSPT+Xpp7+lnbrfFw6jR7jQISk4UwjXU6Rue5CFFuz0Hpe6EQNpkLLf5k4T0sf3GE/tkQ1dx675BMpajfNcL6qMEjE8f4RNfzDGsulyb/zAQei0GK3zn6KF1fjjFwvv7O5ukaqEqV+IU1EsM9fKMxQT02zR7DoEO6eGMOa4ZFpA0TKw6QPLrQMjxuw0KGTCZYeSBLdQx+LL541c8ca4zyjfkJ7PyGLH8LRaZeD+W69LwQUcl38sWe27nP/iIdUpKUFnvNEl3aERbf3cET8b1YK31kT27DSwhqo+D2BvzMnd/mttg8E0YFUwj+rj7IWaeP0y8Nk76gYS+vbx3lo9RYu7+f/J2C+3aeISNN/rB0B58+fD/pYxZqvbIlx98rUBEiFDQCA1/pvJ5tT1av4eVCnJoObWhwHhXWiEWKEaebf7z6Kyi9ZaaruZBcChmtR8SWyoimh6g3Ub5PVN1ayoerEdXqSBWRcFyGylmafTa/sfQjBAkFORfDChjMrpMwPOK6hykDHuw4z05zmeUgQzmMM+9lWXHTPHF4HyNfi4gtXj9BtB1Q1SpyFnqOxvnoE7/E8HCRP9j1lwxoipTU2WuW+KW7nmTJ66AeWPiXeP5sixXoN0rstpbokDrhRrT3PzT7+YOZ9zJzto8dz1XRC1XCrTrmRCFRYQ3N9Sg9sZ17Fn8Jww4wrYDmTIrkrMSoKexSxFgtwlpZRzZcKKwReX7bPkMqDMHzkG7ESjNFTPe55iQqNZYfzlJ50OETe45iC/1ie+KTjSF+6/SHaBzvJOeu3JoLuAlY51YYVb2s7Unym9qHScUcej8+Q9WzOPnBPrSaRnJaYtQVZjVC81+5YZEmUJqgNiBp9in8Xo+JkUUO2HX2JJc5Ue3n84fvwp4zGJ9bIiqs3RI10i2dBeV6g/TJDCtuN/ldcUbxyGkWOQ3+3cBTrc/wygAUveosN1SK52vjqEMZctMR+qEzhFssjvd6BCmDZrekM/aKsihCUQriWGsSq3L1xI63MyqdoDJu0hwI2W8WGNTiuCqgHCZIzitSF6qo+tvnOSpHkkmvh5NLvYx/pzWBt2NE5vUQ8RiVYZ3aiOLDnS/xSKzGpQUbgOUwwWm3H+N0nOznj6E8f+tsFm8CUaOBWFolVuzmdLOfLr3GhL5GXAb05CqsijTrkUWzRyc+m4KFt/obf28I26a6DfSJ6hVeNi8z73ZSXU3Sva5en8R2C6E8j9SpNay1FGc+0EO+38IWLkmgX4szpEt+ufcJDj40y2NLtzOtDeNlQ+47cJ49yWV+ofMwnVocX8UoRQ6Ha6McXhsmOaPRed5HK1U33Unm94qQgsqYZOKuGR7NnsQSOkfKw3Q8b5GZ9FsS7Tb14XjDBAInNPCUxusp2qRkEz3t4Sdbp53tRlSvE9XryLl5+p56jc/c2q+0KVC+R1j2oLyOmJkj1dlJbHUUL21QG7Dxk4KZkQRhPAIrQpohbAc3bXDBybHqpJiqZCmUUqRP6ySePYdynJtuAnoriBwHHIf4mSQ93+pjaV8fC9vTZGSJnDTo10x+oeMCcC3vH40ISUN5VFXEodo25l7sp+O8QJ6YJNiCqZiXEtXrKNel9/lB4ssWXsYiiMP4IQft64cv++yWUbQphfIDZKCoeSaREq0K8WsgNI3KhOJf3PFV7oxNX7b3Pt4con6ik/QkbX0YFcwvoM0vkGvsZ3I0Tbhd8ud7/gJbRPzD6E7ONXv5/MmDqLKJVdCQl2RIRAZEhoKdNT6w7SwPp8/wiWSBqcDh243tPOVup+OIQWoxQK0Ubpka6dYeXRTL9LyQIblk89Py55FZl72Dy4zES/x41zPsMJokhYEhLvWasHmqtotv5SeYnOwlNmMw8KyDUdzoRXs7ISTNLp36kGJ/sqW0KUVNVkLJocIoXcdD4kvNtn7JbgZK0whsgTJfidQ84iZ4pjJBYiVAWywSbjYH+DeJkAJ3IMn6mEF/onVy9y3H5Fu13Xx5fi+lE92kz4O+OIuq1doygeJ6qLhNZTsYYzVy+pUN76FSPFPfwVdX9mAXWuqB15JIvkMLFYbguOhOxJKTYdnOEMUK5KTgp8eeYWmwgwsTOeZrHTRP5rBPahvxz212X4UgMhSGHmKIy8fTUtRkPVI8tTBO9gWdzNTWT4t6NSoMIb+G5Xi4Tw7yyflf4K59k/xwzwvstxbZbVjktIh7YpMkBl2++t463VaNB9Nn6dPXsYROKWzwd/Uxzju9PDm/k3IxyeB0SPzcRmzvFkBYFjJm0+yL+Hj/EZb8Dn5laZjjL44ycXTDy6ZNT3bfKKrRpPdZmFke49Pf/wB9A19hQAsvxhC/mgjFnN+FmImRnKcVKf8OW5Ko0cCYLaBbBvZqnMjS8c6bhKYk0jWUpvNS120cid+G9ED6oDcV3Y4iNVNH1etbb91bLJN9MYZVSfI/Gj9DlAkYHFwjbTkMJ0rkzBo/0fFddhr2xZax9cihoRRPN4d5tradQ/kRFqe7ic3rDB4NsFebqC14QHc1VBhiTRUwSkkiWycyNMy54pY5DLgCIRBSoKQgbvj0xyu4wzqrqSSFB/pIbO/CqLWuvnAgRqMfdt81zX57jsWgk6NOmmmnm/P1HIdObWP0OwH2ShO1BdIw9YUig9+0qZ1L8tG1f46W8ulMN7D0gIn+PNpghC6vvgcKIsmFSjdn1nv4j4HOyloaORUjtiLoOVJHX6sTObfuHt3Sok1YLqM9WyWTSRNfHMHJWZy6f5zjfQPsuWeRPu0UlhZiXGIQ+t36BJ+fuh3vSCc7v1xFWysQ/v/s3XmUXcd92Plv3f2+vffu1zsaO0CAJECCq6iFoiJZi1fZylhKLCe2zvFM5OTEM3YyyUwyk+M4k2TsnCxeJ3EiWbIskZIsy1opcxdJEAQXgFiIRu97v+63L3ep+eM1VqIhkgLxXnfX5xwcg8JroF65qm7dX1X96twY4UZ7CbhBqikB6QoDbj1reT6UnPPamFpKsev4HHI1pxKoXs3QCBzADNGAUlhPIHpitRtntoA/uwkTNwuNcrtBsVfQ49YDFs8Ud/Dw6EGCoym2f2MFbbWwYY+vvBnStdAHihzqnaRNK3Ot4e7FXD+j4530LIdbZ7X7xyEl0qtvwV2qRFny43gypEWP8JnUNDANHXDeK/Bz3b+BIzQ25DqWEIQGuJaHftXeq0wIM36CwlSCnUdz6AtZ/E3ah9YlJcHSMmRW6f2OS/XlKMeCEeKHqpitATvNFVo0h6QVcps1y/8Un73qL9CZDWp8feEg49kWslNJrIxGbDRHcOZcQ77SO0FYFsJ10Toq/Hz8HP9s7l184+QttLyqoR19jcDzN+34e7WwUqX1iUlSryV5/tYBTrV3EbWnabnOBprZWorYBMSmg623SLeFyGoVf3Lq4n8Lrt4TC/Hr/PzmW3KCYGUFVlaIjSbYOdZHtd1l4VA3iwnJa91p3GSFu289y3azvmsmJCQbShYDl2+v7OeJc9uxX3XZ+f08eqZAcG6s/vxu7Ne6eaTEH7uUGFaj+fLQvBOkBjGzRo+TpdddZTqR4oe37KaYtnAyZv3q6w8t85ltz3GHO8ous8zxyiB/vbCf0aU2qlMx2k4I3O+/SLhJ8vT50zPY0zNE2ttInh+i3OmwcNgh7KjxyVuf5bbIOPc487RdtoCQCyvkZcjvL9/DX43vIzcXJ3reoG0qpPW5eUShhD83T3CT6+fm7rSREhlKZLmCNbOKkXfp0hNUEzb/YerD/LvEh5CmBLFWCVJgL+j1iNaEjzG/Wj/Gsgka0VulOQ4iGqHQD+/bcYq7Yq8DkAktTld7CPImslSun43fgvVzPV6LQ2GHx2DvMo4QjPoWnz9/J8tjLewuLTa6eO8IGQQkzxYxiy5P1Q6yc2Av9ryBOydoG/fQlrLI0tZtK+N+jbkgyvOjg6ResIhNbu7twjeaPVdk7LFBzmzr4qMPHCemBVfskNysQiRPlEb4fmYP7rSOvpBFFrZw25Eh2vIqjufTeryDJ0r7yR5xuGfoERxRz3ED9W38PgGZoMpkYPPnmSOcyPYw/tggzjJ0ZULMUoC+uLr5JtZSEmQtvl3q5luv7yH5rEPq9Wr9woBNuMNxXTJEFgpoQmC9MMBvln+Wn7rlRf5e25N06PKKHTezQYmXau08Pr+d1DkPe6awZXYIKMrlwmoVfSmLU67RYbTguxrVhInvmnz2/C8RJNZGTCkQnkD4AmdBI7UoiU17W/q9aUtZe7+254qcfnyYVzr7ObT3PEmzwuCtM5Q8k0LFJgwFD3RPENFqjHkdzPkef3r+LrIvtuMsC1KzIdGpcn0Rc5O1GVkqY0+tYuZcRBClFrf50vkH+LOIxI8FcPnV8KFABAJ7UcdZgq5siLvkYWUqsJqvH2NsQP3c/MxuYUBYKhGOjgEQfQmiQtD6o35Oys03mXsLRCyKSMSRQ2X+Vc/3iAgTMFgM4ryS70XPGchsbuvcovUWlNtNjuw7y53JMRyhM+a1kz/WRus4sMmuO7woDJDPv4IL9H/9qnOtW7wvBVJyqtbBq+V+3Fdd0t+aQa5kN+J+kMY5P8nwFzwyd3Ywek8724wlNMTFa1g3s+9m9vLsiRHS58IrVoe3JCnrOxXnBF01j7ZXkryYGGKy36Zbr+e4udAuCmGVmcDiyeIuHn7+MJEJg22fn8SfmLo4+dl041IQIIMQa1nn60u3Yb4UI/21cWShQLDVdvZJSbCahVyBvm/Hqbwc42vmQe44fJ5b7JkrdtxM+S5fXT7E5Fg7e46N1nd1KcoWJKtV/Kl6cjjrNFhARNTndB0/8oe39lxvywkDGJ9m219AYXuS8+lWjnRP8F92fIFBo34zVCAlR2sWk14bZyrdTJVbyL3QzvAjOfSlbL2tbdIdWWGpBGs7eWNHgTcTe7jc2jylke8KzZGOf5NF8244IRCxKEFLFNvxcISOvjZoHysN8eTZ7cSnBVLV47q0tSGoIgPmvRSRGYhP+7AJzmv+SKpdXKEqff545l28MtpLz1iIzBc3xbndm0n6PlqugJNp5cuLhym2vcKHIpPYwuAL+QF+mBvBXQk37k4C38de0VhcjrMaRoAcBVklGwa8Ot9D9JyJu6gC5BdJiSyU0HWN+OkYn+n5Rd7Te5Z/3PE4mVDnnNfGi6W9fHn0VgpLUVpf1HGXgvoupU08PtVzQFVoPSl5Tt9D1+kAWSwhb+IZ+KYjQ7RMHkdKos+18lv5n0OLetjupZ00lYKNPmfRMgZyk+WbU5Qf2yYeM5Ufj6zV0DN5opMmmafb+W5LG9/p3YNl18dXKQWVggVVHa2soVUFHScleiaHLG2xHVkb8Ls2R9BGuT6hEbTEqXRHiLsZbGFezBr/g8WdtH/fJjFe2XyJ2G4UITC0emw0H0rOljtpf7mEcXaGcCsfbdiiijLk9OPD7PhWGXNsFn9xcx6ReyfJahV/bp7IeIqnXt7J6wPt3Lr3fxDXavzOSw/BaJRtE/mNmYSY+sQnOiUJDYe5Q0kgx4wvmfRbqJ1OsO3RPPpsRq1iXiZYXISlJfr+Sqd8soVHPnQHH/vwMV4qD/LV2YOMnu1mx+dqGIsZ5NQsYaVKsAlue7keWa0iq1WSXzpK8is60vM3/Xf+kaSs71CbEvS8ZpJe51YoKSUEAeFW25GkKIryNl3cmTU9Q/9xEzSBENe+ReriQn8Q4KtxdkNQQZuNQIZoxQrWqsn4XIrPD/fQby6T1vPMrCbonPMwMyXCjbqq/Q7TqyFnV+sbSfusZV7Pd6CXvPoVkVvk5o6tSMuV0E608vTSLj613EnKra/YljyT5DkwFvPITX715TtNFEokTrWRyXTwqeDvYOohxisxojMSbbV405O03Siy5hGb9hGBwb998SEe6V4kU45QqpokXgdtpVDPH6ZcSUpEroAza5I83cKv9f9tinkHfdYmOS0wFpchm6/ftrCFghfS90FNiq+0ltRcqlQ1iqIoN9ba+ApsyqNOW5UK2mwEUiInpjEWXVqe3c2/CD7K4MAS7+k6Q+31BO5zp1QC4uuwl2tMv9bBfGuK+f4EZya62LuygJ/PN7poyjvIn5hm6P9dQegaGJeGOhuQhWmCmrdxj+80CX9iivQfLoOuI+z6memW6jx4Xr1+N6gwn8f53ku4ukbHV10wDDpkfYyVxXOq7VyHPzePWFyi+6yF+KIDYX3HhPR9gkq1Xm/qWaUoiqIoivKmqaDNBiH9ev6V2FxA9ZzFRKmLL6zGiU4JZLmsriu+DiNXITYRwVuxOVNK484aWzunwFYRBoQqMPfOkrKe3A1gk1X1xV0AKrn7WyMl0vfrz6QLbUNRFEVRFEV521TQZoO4MAmOfvcEsSdshGmCYSCLUwTqpeK65Guj9E7Og64hDKO+4ptZbXSxFEVRFEVRFEVRFOW6VNBmgwmLRVB5ON4S6dUIVmqNLoaiKIqiKIqiKIqivCXirVwTLYRYBMbfueI0jUEpZceb/fAWqhdQdbMeVS/rU3Vzbape1qfq5tpUvaxP1c21qXpZn6qba1P1sj5VN9em6mV9b7puVL2sT9XNWwzaKIqiKIqiKIoGcQEHAAAgAElEQVSiKIqiKDeH1ugCKIqiKIqiKIqiKIqiKG+kgjaKoiiKoiiKoiiKoihNSAVtFEVRFEVRFEVRFEVRmlBTB22EEP9QCHFCCPGqEOILQgin0WVqNCHELiHE8ct+5YQQv97ocjUDIcRn19rKCVUnlwgh/j8hxIIQ4tVGl6XZqP60PtWf1ieE0IUQLwohvtHosjQTIcSYEOKVtb50tNHlaSaqzVybmue9kRCiXwjxAyHEybW6+Wyjy9RM1DjzRkIIRwjxnBDipbU28y8aXaZmofrT+tT4e23N2p+aNhGxEKIXeBLYK6UsCyG+BHxTSvnfGluy5iGE0IFp4IiUcqtk1L4mIcR+4IvAnUAN+BbwGSnl6w0tWBMQQrwLKAD/XUq5v9HlaVaqP12i+tP1CSH+EXAYSEgpP9zo8jQLIcQYcFhKudTosjQb1WbeSM3zrk0I0QP0SCmPCSHiwAvAT0opTza4aE1BjTNvJIQQQFRKWRBCmNT71WellD9scNEaTvWna1Pj7/qatT819U4bwABcIYQBRICZBpen2bwPOLfVXzDX7AGelVKWpJQ+8Bjw0w0uU1OQUj4OZBpdjg1A9adLVH9ahxCiD/gJ4I8bXRZlY1Bt5rrUPO8qUspZKeWxtd/ngdeA3saWSmlmsq6w9p/m2q/mXJW/yVR/ui41/l5Ds/anpg3aSCmngX8LTACzQFZK+Z3Glqrp/ALwhUYXokm8CtwvhGgTQkSADwH9DS6TsrGo/nSJ6k/r+13gfwXCRhekCUngO0KIF4QQv9LowjQR1WauQc3zfjQhxBBwG/BsY0vSVNQ4cw1rRzCPAwvAd6WUqs1cRfWnS9T4e33N2J+aNmgjhGgBPgYMA2kgKoT4xcaWqnkIISzgo8BfNLoszUBK+RrwO8B3qB/lOA4EDS2UsmGo/nQl1Z+uTQjxYWBBSvlCo8vSpO6TUt4OfBD4tbWjmVuaajPrU/O86xNCxICvAL8upcw1ujxNRI0z1yClDKSUtwJ9wJ1rx5yVNao/XUmNv9fXjP2paYM2wIPAeSnlopTSAx4G7mlwmZrJB4FjUsr5RhekWUgp/0RKeUhK+S5gBTjT6DIpG4bqT1dR/ema7gU+upZT4YvAe4UQn2tskZrH2sodUsoF4BHqOZG2OtVm1qfmeetYy6PwFeDzUsqHG12eZqLGmeuTUq4CPwD+VqPL0ixUf7omNf6+Cc3Un5o5aDMB3CWEiKwlBHof9XOISt0nUEc5riCE6Fz7vwPU82/8WWNLpGwgqj9dRfWnN5JS/paUsk9KOUT9ON2jUkq1MgUIIaJrSR4RQkSBh6gfs9vSVJu5LjXPu4a1uvgT4DUp5b9vdHmaiRpnrk0I0SGESK393gXeD5xqbKmag+pP61Lj7zqatT8ZjS7AeqSUzwohvgwcA3zgReAPG1uq5rD2oHo/8KuNLkuT+YoQog3wgF9bi45ueUKILwDvBtqFEFPA/yGl/JPGlqp5qP60LtWflLeiC3ikPvfDAP5MSvmtxhZJaWZqnreue4FPAq+s5VQA+CdSym82sEzNQo0z19YD/OnaLZga8CUp5TcaXKZmofrTNajx97qasj817ZXfiqIoiqIoiqIoiqIoW1kzH49SFEVRFEVRFEVRFEXZslTQRlEURVEURVEURVEUpQmpoI2iKIqiKIqiKIqiKEoTUkEbRVEURVEURVEURVGUJqSCNoqiKIqiKIqiKIqiKE1IBW0URVEURVEURVEURVGakAraKIqiKIqiKIqiKIqiNCEVtFEURVEURVEURVEURWlCKmijKIqiKIqiKIqiKIrShFTQRlEURVEURVEURVEUpQmpoI2iKIqiKIqiKIqiKEoTUkEbRVEURVEURVEURVGUJqSCNoqiKIqiKIqiKIqiKE1IBW0URVEURVEURVEURVGakAraKIqiKIqiKIqiKIqiNCEVtFEURVEURVEURVEURWlCKmijKIqiKIqiKIqiKIrShFTQRlEURVEURVEURVEUpQmpoI2iKIqiKIqiKIqiKEoTMt7Khy1hS4foO1WWplGhSE1WxZv9/FapF4A8K0tSyo43+/mtUjeqzaxPtZlrU21mfarNXJtqM+tTbebaVJtZn2oz16bazPpUm7k21WbW91bajKqX9am6eYtBG4coR8T7blypmtSz8vtv6fNbpV4Avie/PP5WPr9V6ka1mfWpNnNtqs2sT7WZa1NtZn2qzVybajPrU23m2lSbWZ9qM9em2sz63kqbUfWyPlU36niUoiiKoiiKoiiKoihKU1JBG0VRFEVRFEVRFEVRlCakgjaKoiiKoiiKoiiKoihN6C3ltFEURVEURVF+DJqOZpmgvXHdTHo+yBDp+w0omKIoiqJscZqO0AQIDaFrSCkhlGt/JiAIGvKMVkEbRVEURVGUm6T6wdsZ/4hAuD6ReBUh6pPBYt4h+qqDuyBp/+tzBPMLDS6poiiKomwNwrYRlkW4b5hCn0u+T6eUllirAndBEjiCWhxiU5LWr7xEWCrd1PJt/KCNuOyGOXHVqpUML/u9vDnlUZRmcqF/XOgbF/qE6g+Koig3l6iv3K1sN/mtB77KbnuGI7aHtnZS/Zmqzq+6nyQzFqPj8UiDC/sOWPv+QP1ZpJ5D74wL9aye94ry9mj6lf8dBo0pR7MTV93yfvV7+AUbYbwXAs22wXUo9Lus7NSp7inz7u1nOb6YJjPWgowEJNqKrCRStP2lCTc3ZtMkQRsh0ONxsEyEYYAQyEoVWashax7Sq138qOY4aKkkMhmnPNyC72pUExpeVJDbERK6IegSJDjTJlYWEhMB7nwVc2IJf3KqgV9UUW4STUce2U8p7bC8T6cyUENfMbFWBYnxkJbjq2irefzpmeYfSBVFUTYwva0VEY+RuSfN0kFB2y0LHLAn6dDLgH3xc6HUkBLEJhyS9VSSic/sozjsoecMjDL0POXhPncOWS4TViqNLuKGpjkOct8ItRaHhUM2tZRErwq0KvR9Pw/PvdLoIipKU9PiceSuQSodLjP3G/jJEGmF4Au2/5mH/sMTSN/bunPmC0EN00R0tSMjNuW+OLWETrFHo5aEwJKE5mU/EoIIIHEOOj7/YlOO88K04NZdVDoclveblLtC3G05DnTOsT8+w22RMW5PdHA23cWpbBdnJrpxc+LScambqEmCNhoiGgHXQToWUtPQCiUolkEWrwjaCMdGtiap9sRZOmDixSTVbh+3tcx/ufXPudVeJalZeDLgn8zdz3MLgyy82EHinEtbJQkqaKNsAcI0WN0RYWU3PPj+Y/xe+ikeKbbyjeWDPHlsD04mjmPqMDMHUq0gKIqivFNEIo7flWT+Lsk/f+hhtlkLbDcrmKK+mhsS/oi/YeMTsRjbP3iOPx35Kt8udfNyaYCv5e5n4FQMggCacDK/kQjXJbctRiGts+1Do7y//TXOVTqYqyQYm9hJ8rlGl1BRmpuIuGRHYuSGNP7+R7/Nh2OvMGgYzAc1fvbF36DzmLnl840Jy0JEXGrdSWopi6VbDCqdIZ2753lP5zgDdoa0uXLx88XQJhtE+I9H30Pnw25TjvPCMlndHiU/qNH6nlk+03+Ue93X2WNdtmvIzUNylN+19nLmRB9mkXqem5ussUEbIdBTKUQyztRP9VHsCwnWdsoYqy2YBYFRBLNwqWKqrYLigI+I+fR1zRKzqvRGsnTZOYbMVSJCR0PDFPBg8gT9ToavaQeZ6U9hFeLEXmjg9/1xCIHQdcTe7VTScQJbENgapXaNUo9EhAKtBtIA363XlwhB88FaFRhlSXwqwMp5mKemCRYWt260eI2eSFC6dxeVNp3sNg0/Vt+hJSTEz0N0PiD2Wobg9OuNLuqbp+kYg30EbXGWbpNsOzDNuxKnAdhtzRO2vsLs7iRjhT7iYwm6S8OIQgl/ZnbLtwdF+XFokQhaS4qgs4WVWxLU4oJirwQNzKzAKEPbyRrWYhltbIZgZeVH/6XKhiQMA2FZ+LfvpNRjkx3RKXeF7D0wzi32FK1aDUfUp1+eDDjp6Xxu+R6OL/ehH48Tn5XI4k3ed30T7bbmSWklHr7rIOedfpLnekmeyaMvZNVu6LdJ2Ba5IZ1if8Ch1AQH3XGW/BhzJBpdNOUGEaYFmkAIAaYJI/14KYeVXTbldkHgXrXLQQIhxCag6+kVtEKFcHEZPK8pdzzcaHoiAbaN0LUrjvHIeJQgFaHW6lDoMfBdQbUF/LhEDBfpSuW5wz2PLiT/NTfC8fwAzkpYTz7bgN0VjaYnEvj7hqm1WCzvM/Hikmraw4xW6e+Yo8vNczg5zi5nhjkvxXitndlakplykrPLHWTHkyRP68hqtdFfpU4INNdFSybI3T1IqUMjc8Sjq3uVj/S+zCFnjHbdA2wq0qcUBjxR6eUbywd55vw2Uic04lM+slb7kf/UjdbQoI0wTEQqQa2vlZ6PjPMvh7/KkFEjqVk8Vo7waqWfE4U0Y4XWiz9zuG2C32h/iogwL65SXeJc/J2GxgcjeT4QyXJ/5Axnhrr4Nyc+TuwmfbcbTeg6wrLI7kmxfIvAi0tkzOe2HeP8q4GvkZcmo7VOuo0sd9oVdCHIhjXmAp3/kbmb0/kuTh4dwp1z6VtphcVlYAOcMXwHiWSCmXcZMFzkPx7+Au9zq4RIqtLjZ07/LGdP9tIftOKcbnRJ3zxhGlSH2ij0Wuy7fYzfG/oyKU0jxGSPabLHXCI++F3+PHInT7TvJDHRgjPvIOYXtvTqgaL8uETEJUi3sbInRuFjOfZ1zfF7A1/DERoPF7bxQmGIH/zV7SRGTdryJVBBm01L2DYiFmXhjgi5vR537Hmdn+44xl57lj2mCbiEhHgyoCIDjpVH+MsXb8WeNeh9toq1VELmC43+GjdciEBHrD2LKvxfB77O08PbefjoIQI7QeqsiVBBm7fHsSkOBXRtW+LB+KsctGoc1cuNLpVyo2g6wrkQgNAQEZflfQkKfRq9D03wy/1PcKs9w7Bx6T2oJGvkw4BfOfdxVlcHcBc8nJqHLJehWt3c838hEMkEYTKG1AXSuLRrotIVId9vUOiD2K3LDCdX+IXu5+g2shy0yjjCIJCS+UDy55OHmZxsY2TRQwbhlblStwiRTLB4e5Rir+Q9D77I3YlzPBgZpUd/Y961r4YWz+WHeW2lm+nFFPZpl+2PljCWCgSV5gjaCF1HxGME3W1MPSjpGlrkt0e+zxFnklZdX1tQqR9bLoUBmVDnq4u389wzu4hNaHQezaGtFgm8LXh7lLRMAlujzS7TrVeJCAMNjX4ji+6GtBoFRiItFz+/y5nFETr61cmPLlMIq3hIalISAhHNYMRauCICvZEIw0Ae3kuxx2XhTujYu0DSrpCyy9ybOkebLonKKro1T1zzMEV90LaFRqvmc0dslF57hfKtJtMrSZaWWmiz96JNzG/J2yn0tlbKh7eRSZtYu3Ic6Jqh28gDFoWwSiYMmc4mceZ0zMLGWo3QbJvFAw75HQEfbhkjrgnMqxKD9Rur3Jd6nVfa05RbW9ArNqaugwraKMpbI0R9h00iTnlfLzP321TTHh8ZPMOuyBwRTcdEZ7c9g6N5HL2jn4XBBJrXRSrmIqbmCZaWG/0tlBtAGAZ6dxcy6lLY00q5Vadwe5lDQ5M80HqGbdYCrZoP1CciGholWWPSN3k6O0LquEl0PsCezSNyjZkQvpOk53Fiopd/nbyDj6eeZ59pMWIuEsQFx7b1M17pQfMckk+Lzf0yeYNpjoOW7qa8vZ32oQzv6T4LwGlP449P3YP/epzBiY01j1HeSE/EqBzejpcwKHZq+FFBfk+NeHuR93aeZsRcJH5VMiwTnaiQvKfjNP/5oTT6ikls/yCRhZDUd88QZnOba7FuLeeKf3g3lU6b1W061VaJ1EHql+omiIWYyRIdLXnu6xqlx1ql11hhOYjxz+buIFOLMlVIkSm5+EdbaJuXWLOLBMEmTyUgBMIw0dta8Ac6qbY7rOwyqaZA7i7QmSxwb+IsI9YCmdAgE9Y4Xulj1mvhsaUdTK6mKMzHsJZ1jIIgkYXYXIAxn0UUSk0T8NJSSXL3DVPo1RnaMc3d7efZZi0Q1QRVGVKVNf6mnObl0gCPz29ncqYVe9Ki/bTEXaqhL+WQxXJDvk9jgzaaQLoWgavTaefp0d2Lf7TTdNhpeoTOLCHTV/4Y60dfQkIyYUg+NMlJG0/q7DKzbDc0AncDTgQ0HeG6zN4dI3+wyqdvf4p/1PryxT82hY4pogQypEeXwKXdRxFhEdHhY9ElYIlfSZ5hPqjx3tyvU0vG6fFD2IJBG7raGfuYRqp3hf9997fZa88yaEh8AuYCmPRbKM3E6BoNMRdLGyrbgIi41O7L85v7v8+7I2eJa9YbPrPHNNlujPFyup/HeloxqiaWEGzA3qEojbN2ZFVrbcHrb2PuLpvf/Pkvs8Oa46BVwxQ6GvX+d6ctOWzP8VMHP89sUOPB2j+kmkzS9XQIKmizKQjbprq9i1KXxexDPoP9C/zT4e/xoLuEhoYuBBruFT+zGsLxygDPTQ4y8pVz+AtLBBvhlo23o1wh8pLL50t30XP/KvuS49ximeyzMqSGv8njHbv5i8J9JIWm8qy9BSIWJX9LJ6sjBv/b9kf5cHSKl2ouPyyP4H4nTve3pwgzqxtqHqO8kWhtYfoBi1ra48H9r7IvNs0HoifpN7SL48vlSc3hwvuBzj9oOcWvPPQqr9UsPrd8D985t4vUS22IcgUZBJtmvBG6jkgmmHx/BPbk+ZW9T/Gx+MvENUHkspMZF27rA9CFwJMB+dDnRLWPb/7gMO6CIHUuoGPVx37lLMFyhmAL3B4lDBPNdfCGu5m9L0phd40vv/d3GTQ8nIupR3Sq0uPRciujtU4+f/5OlhYSdD1q0P/CMmJlnGBlFUJZb1vQfHXX0cr0QyG9g4v89sjDHLCCtf5jMR9UyQQmfzDxAOdP99D1pGDPt04jazXCcgVkiN/A/tLQoI1m2xSGYuQGDDqt/KX/nTfuoqlIn+plUa3VEE7WulgNIpwo9bLqRRgrtFL2TIpVCz/U8H0dKSHqVnFNn8QGSk0C1HP+tKYglaDQH7J/eJr97tQVx8Iu1FUurDDu65zxOvnq4u3Yus+RxChxvYJOiCZCOvU8FRmnq3uVeb+F6FycVH4Ylle3RH4FYVporSmq3XFiPQX2dczRby6T0nxMLAIpGfVbOVnpxV7SiU2V0fLFDTXZkUFIZcXh+dww++wpBo1rD5am0Om2s5S6Q8y8IKFffdRwcxKmhdA1tK4OZMTBb4ngx0wCS1vLEyXwXIGdl0RmKpgrZcIz569Ihr7RCdtG7+kiTEZZ3ZvEi66NtxKsgsSohkSmy+iLWWSxjMznkb7/tlfkhG3XdwtedRPghqXp9WDNYC9eT4rVQZvVHRpyd4Ed1hzdeglT2FdMDL21l1BT6CQ1QWs6S7bQSsuZKKZhNN3EWRgGwnURERfaW5CmTuCaSEPDjxrIawwXZsFHL/nocysEs3P1s//NNll7BwjDQG9vI+xsYfZuh3JPwK7hWW5vmaTfyFzjGDe8WAv5QWEvz68Ocmx0APeUgyyNb/r60qsgqhrVy7Y9awg69QLbnXlqLQHGYB8yX1A70N4kEYuyut2gMBTQbawCcKqa5nh+ACsvkYViQ3Iv3GjCMEDX0VwHbBvZ0YrX/sbjGRc/74foRQ+t5sPcIrJSRVgW6BrUPGQQIKvV5t9poulojk3QEsUbqDKUXubW+AQ7rDlSWogpLvWlGb/KYlhfrPakQdrIM2w4aGhEhEWXXua22Dgz6QRjD2wnNttC/JUFZC5PuJpt/rq4Hk2vj8NdrVT7atzbN8l+Z5L2teMuxmUL2tNBiVO1Fia9Nl4q9rNQjXM2005mKU7bKXBXAiJTJfRCFVkqbd5xWdMRmkDv7SHoTFFpdyh1GRTTgur+Ent6Fkjr9fxri4FPJrT4XmE3k5VWHpsaoZhzsMZtEiuC+GQZsZIjzBfq400TzWcuEKaFlkpS64rT0pPj9vZJWvUKITo/KKcYq3Xw3cW9TOaS5E62kRwXxCZLhKVSPVn+DWoHRk83QV8H+CFa1UPkS/hT02+qzhqb0yYaYf6wjhwpcsCduOZnQkIq0icTBMwHLsFakOJ4ZZA/PX8Xy5kYkZddnGVJ+3MrJLMFkvKys5phCLpev0Y8e4KN1PWEYRIOdlNOR9lz+zh/uu1hbGFw+W6aC8Z9nS+t3sHXRm+h9XMxvKjgb969CzNWQ9clhhEw0rpMm13k08NP07a9wD/2f4HA6qb1ZXdL5FfQEjG8nb2s7LT4xMiTPBB7jb1mhYhWf8GqSo9nCjt4dnmI1OkQ/ZlX8DfadkivRnTU5Hvmbg4dGeOwPbbuRw+4E/Tvn2Mq7KbbsqBYvGnFbAgh0GJRRDRC7vY0hbRObkeI1Vsk3ZJlZ3yZQ/ExPhA9zR9l7uGLT99N/GyE3uk5gtyNG7AbTUskWDmSJjek8elPfoufTdR37lWk4POrd/LSah8nn9pGx/Eo0aky5sQSslAgWM2+7X9PxKPIzArB6sZ/edAcG+E6rNzRxfzdkh37pvjC9i8S1wRxzXrDboqQkIL0AIgBEWHyv+z4G452D/PD126n43kXKtWmCmgJ10Wku/C64yzc5uJFodoWEkZCWtJZYvaVZQ2lYHyyDXPRofs5l9ijufrKVGVz9Jnr0WJRKnv7yG6z+MQnHuXvpo7iiPqxVPMaz2qAzy3fwzcfO0TqlGD3I2eQpTJBafMmHob6TRtGSWIUNPKBc8WfDRoBSW2Ulr4s2UPdRKfKkFndNGPuOyloi6O/K8OH0ucZMrLkQ/jO0l5emUnTN+8RLGcaXcQbQrguwraQ6Q78Fpf5Qy75W66TI6Nq4cxEsLLQ86SBvlIkSEaRpoaer6BVaoRLGWQ+v/7f0QQ0y0TraCPfH+UXDvyQn0y9wA7DI6KZXL2z5tlKP0/nt5P3HYq+xXtbT/HLyUvvVmnD5ufjY9zhjvGfPv0enp8bwP98N/HzcfRTHkEud5O/3Y2jOTa17T0U+h1+4sCL/J/djxLXLIyr6gjg6XI/fzR5P+enOki8YBOdC+h+Yoyu0hxhtXpxl0gAm3oM0iwTYVnkbk+zcFhD21ngV/c+wTZrgbucRWyhERMRVsIyz1d7eTY/wte/d4TIjCD9TB5jdqG+qFepBz/9Jlt8upoWi+Lt6mVll80vjXyfD8ROktZ1VkOf3zn3QSYn2+j+vkHniVW6F88Trqz+WAuW6ynf0sf0AyZ6WWBlITHpE1lYfFOJmhsTtFnL3CzjUWptAYNtWVL6pQlLiOREzWfMb2Oy1sZUrYXJUgsT+Uu5bZbzUfzRGHZOkBgLsLMBYjFDmC/UAzVX07QNs9ogDAO9qxOZiLJwW4JiWnBvcpqYVh98QkICKQkJMYWOjkZE8+mxstimj14N0WsQfd0icCykJqka8FJXBCtWY/e+WQ7YkxipGqXuCIlxG01s3nPkwrbREglkTxvZEYdiH/RZy3ToZUyhE0jJVFBmMXB5fnmQ0dl2+nPBxlx1CCWaB9Q0KvL6SZyiWpV0NMt4pBO09XNEbVhr53M11yEc6SeIWZTaLbyIoNCnUUtJQjcg8DVWSi4TogVNhGhCUgot2ocyLMlWqoe2Yy0W4cxY/YG+wfuJsC2K3Rrl7pBdzgwDRj09e1V6HIqcJ6LVeG2ki0URJd8XxR2JYFQlRilEhBIRSPRaiJGrIoJr14XUBV7SIXA0qkkd3xUkxtpwxpaRufyGXEXXIhGEZeLvGaLU65DZL0gNrXBH2zhp49LOmqr0WAx8sqHJy9VeSqFNKbSxNY+PxF6jS7cZMpcoRm2ecg7VdyFpTfJs0nSEaSD6ulk60k6lTZDf6aFFfGLxCjGnyv7WWRJGhZzvUAsNtLWDlRJYTkbJLsSJDqXRlnOE0zON/T7vpLUVcNpbWd5vUxgM2e9O0aG/8SUhG9YohpKnK4M8m9/GN8/sI35eIzbtbfwV7rdArN3OeDVTaEQ1STqRY3yoDc13iGiiWVIgNCdNR4tGqCUdRlrH2R+dIiKgIuHscgf+bARjowcC13KUYJqIvm78VITsjgjFtKA44rF9YP3j/SXPZD6epJI30WsJjFKCWkIgdXCXophFSfy0jTZJ/aWziYLml9NSSQoHeljZbjDiLBAXHic9hwCN3WaR5NoR+EBKnszt5Hvnd1Irm8iywenuTs72n6bFLNFnZegwchy0ljDRuC02Qdil8fj+ViqtMToYxJhfJVxcru8s2ICkoREaAlevEREmM36VbGjyXGWYs+UuqqFBNTQ4Ot/Pymgr7pxGYtLHma8SLK80bRu40bRoFOHYhMNpyl0uy/t02F7gYHqaW50JUlqZmpTMBYJjlW7OVzv45uQ+MitRUqMQWQgwFnP1Z1e5vHGeX4ZBEDHwHUFSL5LSWFuwh+nFFO6YRXSugra4SpjN/fg3rAlRTxpuGvXd2ckEMhZhadhEjhQpFyy8JROjrBPV9TeVoqIhQRthWWjdnZQHUmzbMcff7n2OIaMAayuUISH/fu79PHl6B9a4TXxcEpv2SJ6cu/jClAxKSG8GgrAejAkCgk3wQgX1aODqvQPk+zXu+LmX+XTn4+wwy4BDVXp4MqQiQzwgLkJs3WTQsPhE4iTHO/s546RwZysM/rcJpFdf4RWmiTfSQ7nL5anPbudj8Ze5bWCSY/STn3ZIWRbS8zdlVFnvaKe0r4fssEnpvQV2dC5xrztGj26hC0E+rPFw/iCv5Hs5/3w/LefAHV/ZUMeiLqd5IGoa3rXOMFwmree5t+V1jrYMgLb5jkcJXUdvayHobefML8VI9me5v/dVhpxlThTSLFZjvDqeRk5EKPoRyl4bY3o/PzBuxdmzypdv+2OeHhnmtzv+FnK0hR2/X0TOzG/4B7tMxigcLrNvYJYhYwVwCWSIhsZ73Qz3O0t8/K4XKY6mbgoAACAASURBVB3RmQtiLPoJalKnIi1W/CjT1RSns12cPptGeNcO9klDctu+89zdOkqHkSeuVfjNoz9N9Idp2l+poP9ggwVthEDr7sRvj3P2UzafuudJbouMc7s9R1xoaJet5i0GPt8s7uHZ7DBPPbsXvSRAAz8W0vFQjp+KZrjTrrDdfI3/nPgIwrYQtVpTXIepuQ5aS4r5+9r5if/5cfa5U9xizeKIEFPU93iaQhACT1e6mPOSOJqHRsjf73yMtFHmZyKfZoZ22k7GMGdmN8Uz+Vo0x0aku8gf6OTIL77IR1tf5Ii9DLwxj9jJWpwT1V7+3aMfYujrAdsXy2hTZ5GVCuFGmfC+g1xh4Qr4ePfz/OGDLouxboa+ZWycl4EG0GNR5FCa3JDFZ7uf5kF3FVO4nKj5VF9O0fNyiDGdYcPW4FoAWevqQMYizN/bSmEAbnngLP+8/xtEhU/8OotNgZRUJOSlwdPvGqEiTW51JjCFzx/Mv5sTS92UvtFG51Ma2vwyweLiTfxyb563rZuFT5U5mJ7m/sg5AP6fyQ+SqUT4l9u/xt1O/bnhEfBXxw4w+DVwZ4qI2SVkTzvPDx2m0K2T3SWx+or83we/Rq+xwsdip/lQ7DQ//PlXebk0wF/81X3ER2N0PmbA6+cb+ZXfHiHqt0StTWWr0ueR/AGOZgd54dHddD8XYBZ8jHyNrmKV7pXzSM9DruX12ejzujdN0xEDabzOGOc/arP38Bg/0/4aH4ufICLqu4WnfI8ny/18M3MLzzyxj8isIP3oCp2rS8hsDlnz8CvVeiLeDfR8F5ZJNWXgJaDTyF8MeK6GFrGjLj2PZdEm5/Bv0C5PYVkIw0BrSSFdm+yBDrLbdMS9K3z51v/KD8vb+MbCAU6aQ3Qaby4c07Cgjd+ZoNxhsiO6Sr+5jHPZbVCBlJxZ6cQetYlNSeITNZzpHP5WuApS0xGOQ6FHo9gbcntinINWDQ0TTwa8VLM4W+sm48dY8mLcGRu9mOgwrln0uSscHdCRmkPirE+YKyB9D6HrGLEIjkiS92wCKRiOLrPcGSXT0ofekiIslgibfKvo22KZ1JIG1RbBto5lDiSniQgu3kBWkpLvzO9ldLadxJQgOuejFcsbM2ijCbwokPRI/ojrPi0REtfKGGaAsMz6iv8mmCQL20ZvbUHGo5S2tVLqNLA6C/QmsxR9m9fLnZzIdJPJRdBnbCLzAuGDCMCPCaopiaGFpHWdvfY0t6RneKE0iHRshGkgfW9DPaiuJoVArN2k8FR5hHPeKqtBBE8a7LDnaNPKxDXo0kKSWpYhI3vxWOpqaDHjtNBp5clWHareGx8hQkgMPeQ9bWc4EnkdRwToSGzHQ4r6v7+RCMNA2DaV4TbyfRap9Arvip1iyMjSpdsEUlKSNUzqSR9LUmes0s5Yro3opIZRktQSAtAohfXgjil0okJDatf/t282rSVFdXsXxR7Boch5eo1VQgSZ0OJsrYtiaJMPHUqBzfFcH9mqS9yqEDFqtHUUOKAFjLQscbS/FXfR2NSLAcJ18HpSFDs1DsSm2GsurV0Vekk+rFGSku/lb+epxW1EJ3ScsSVEvkiwmr2YqHFLCEOMcv14VM538Amop1C9NB70mivsaZnn+y2daC0pKBQ355zkx7GWAF0kExS2JSh1Czr1PKbQmfDLnKr1Y2UFdsbfOLvL1/INCscm6EjW8zku5UBKaoNt1BImxV5BradGp1PAkxqLoctcIGjVKnTr9d1atjDfkBOzKn1Cd5QAwXYzwETnnuQ5bC3gseE2rFyKpKmjFYtIz2+6l3dpanQkcmyLLBERkpIUZCoRVsvO2m7qKpmgymJoYKwYOLM5tPkM/vwCOhARAq0WIbBNSl6MP++5gz3xOf5u6lnimmCfNYeO5M/i9+DFdDAbfqnw2yJMg0qbSblD0GLUdwrN1pJM5FtwFwWRiTxavozMF5GVCkGhUP/BDTyXe0uEQIvFEBGX0nCKQtpA7ytyf9tZDrrjtGsW80GNk57JsfIO/npuP+fmOoiPCaLzAWJ6gSCbb7r+8VZI16bYrVFpr7/7XBAg0KsSrVBGVms3Zr4iBHq6mzAZpZiOUk3q5IY1SgM+Rzrm6ddDnidkOpdALwnkm2yHDemdWjLBzJEYhaGQz7a+whEnhyMurU6FhKwc62D7H40iazVkzSPcIA+fH8vadtewqxXv/hw/OXySd0fOYAqDUuiRlyH/4MQvUjrajrMI0YWALzx4F5976Pfp1ksMGC4fTx6l8Embb4/vwZ3rx5pcJljbHRCOT2MVy0wWWshLk0+1PMMvtz7FB279LMlzA0TGs3By802QwrhLbkCjtM3jnw5+g0GjdDHCCjDmx1j9XB+7H5tF5qegWiUob9ArMm2b6v4yn77lGe50zgPrvxWaAtqMAjG3StieRPN9gsXlDf+Cpfd0Mf/+Xgr9cPdDrzLkLrPsRZkpJ3n6WweIj0lSZ8u0zmcRleX6brREjDDhMn93Eu7Ockf3BBoa+03J7w5+lX/tvI/THXswV2P1XREbOLglPJ8gZ3FKdHHixY+ilwWR2fpDa/W+CvsGZrktNck+d4peY4W0XiKuQVKz6JOSXeYi9zjz/Ezi2Lr/hi4krRo4QuekpzPptVFcjNA3GWAtb6Ab2YRAb29DtiQY/bjGRw4d5cOp4xy2C4RSIx/WyIeSTGiR0moMGC5zQYwn5kZYGG1j97eWoVpj4YFuAkdQk809IS4eTDP+syHb+qdo0wuMee18Yf5Ozi53EDzTgpORxGZ8jFKAUfAQfsjCQJpKSue3P9HO7j3/nV/ofI4D75/mT8R7aHu8A1kobs5E913tTL7fwRuucMgZo2tt5+YFgZQ8W23j1XI/X/rWffT+wKN/YpHw/CTIcEOPIW+HrHkkzxYwSxFeXu1lpr1Kq64TE5d2qd1i5Uh1/oDXdnWRPzKAO1NGvHh6Q78o3GiabaOlkhRv6WH24zV2pSdJG2VmA/g38+/n2EI/qXM+zvmlerqADUDv7mT5gT4KfRoDHxhDE5Kxvx7GXpGsHAgx2ircOXiGW+LTPJUZ4dMv/R2qNQPf19nbO8ffSz9Ot5Fll1kPntuXBU9tYbDT9Nd+X29rPx8/y4djp/n2x87xyvv7+PZf3snQI4PoS1n8JjvSGeoa3dEcvfYKlhBkQ43VskOx4FAMbTyZ5S+LO3khP0h8DMTrEwSV+u6bYHEZLZvDfd0k8kI9qfz089s5sWMXvZ9c4S53lLQeEFgLkPDxYjrSau5n1HpEPM7sfZKuHfPcEz2LJgTHMv1Mn29n4LyPPDVKcOFGow22Q+RGEIZJcGCEUrfN9Id97t55ip/peIEH3FlKUjLua/zB8rv5+qsHcE879H87y858DlamwKsR5Aob/t3A602R+IlZPtB5nkGjxNU5oW4kzXWZ/nAv2T0+Rw6+zk93vEBKK5HQKnTpZSKazV8v7Ud7pI3eiRqy8uZ2Wjemd5oGtRSEKY8OI0dEvHE7cWiBTMUBEGu/6n9Q72ii5iFzefB8gkJxwzcmqEeKtY42yl1RBlpnuT02TlILAIOzvsmY105mJknHmCQ67+PM5HF3t/K9/H4ORiboM1Zo1QLemzzJZGcL0z3b0aspxFIG6dXqvypVwlAjlBqmFuIICbqs5zTZYCvgb5a0DPwI6FGPfqN0Rc6BUuiRCVqIzvv4o2ONK+TbdeHMt17fSkwqQTxWZrs9T1zzuN6gpAGO8IhaNWrtCWwvQCsUN8aNCusRAhl169nv0zUOJ8boMHJ8MXsn51faiE5LEmNVzIklwuUMXDjbG3XwEzZ+BBzTx9Z8CtIjInRaNYuEUa6vcG6CPiI8H2tJx6+4RCc0zIIkPuWhV0MKfQ4nRA/L5Qin410MRjKMOAsktDKtegFLBJiivkYeSo2IVmWH4WELY+2K63r9hEjO+xUygcljxd2cKXZhLRlYqzVEqfHHgN4soevIZByvPUa8q8CHUi+zw1zBETbjQY0xL8VikGCq1sqwvUBETDNW62VhMYG9oMPSCvg+eq0b4dcT9jaz0BDodoAX6Dxb2s5ouYOXJvsIFh3S5wKcZQ97bBlZKNVv1ZCSWK0fuz3C+EqcST9BXCtzODLKH8XfhbRNqGzMl4B1CYGwLIKEQ7UzoKstT1yroV/2olgKPYoy5JnCDo5mBohOCdzRDGRWt24AQoZouTK2a1KoWZSkTkpKLt8YERE6ab1Gu1tkJtmFmbcwN2O+tbfjQn6EZIKgr4NCj8Gu9BSHWiZwhGA1hNdzHSwvxxjOBchSuel3cl24pS5oT5IfqK9C/2T3cQB+e6ifWlIn1pdjW0uGg4lJtlmLfMfbQy4TRRR0jILGibCHR+xD9NhZbo2OE9WqtGlFNFFfGrAISRs+9lpicA1BQnNIAPe4owxZi3yt9zYKIwliQiDmF5rqNj+9GnB2uQNH9xixFqhIE8f0CSM1nLVcaNO1Fkbz7Zgl6jlGLvz/PQzqyeArFcjn0atV4o7x/7P35kFynPeZ5vN9mVlZlXVXdVX13Y3uxn0DJCFRokRRlihLsk57ZFmyPZ71MbOe8dhzhB0bE2Nv7MSsx+Gd3di15Z21x4fGhyzrPqyDpHiLAkGQAHGjAfTdXd3VXfedx7d/VAMkeAkgAagL1BPBCAJdmciszvyO3/G+OIEIh0tj+EWb3uAMQeFgRZo0EwZuyETz+/Hadvfsq4QAQ0ck2myLrxBbr6IoNvzoJQ3ZtjvuY1IitRcSmcr1wLZRrnfbjsud9pw4IhykNOKn1icZ6l/h3sQ5BvQCtlKcbic50RzkyaUxfNN+wjMe4mxHw7Fr9wKvwk1fg0kNLZWEaJjagKJnuMj7kif5oJWjqmwqnmLRtXi2FeNUto/eRQdztYG6RgG3W7+akhpeMEBzuM3YUI6krL/sMgyh8W8/+DW+d/c24Oov2fE0Go7BxWyK6GP9BJddQk9c3NA2Y9eKlk4x+/F+aiMu/9vAD3iPNYsldPJui18+/iu0TsUY+b5D8OglVKujgTD4kMlXCvfyV4eavPNdf0RCMzlkrtFMH+Hff3CEtZkQ47kk3kucgVwEXy7v40I9TfCcSfD0QicIdhviBA2a/Q79iTIvluatezaPN3v4Xmk7Wqtrcv9XIS0LtWMMO+yj3mvQSEr2pE8yZKxh/ZCxyS8EvVqVt6Uu8ff392Mt9dD3mIGWr+LOL3XdJHZ5AVgfjjD+rimGgwUeXtvKpUIS4wsJemaaGIvLiHoTLxnBHUyy/JYg5c0OWqxNIlpB2g2qDZPz5TTfDo0QlG3CssHJcj9avY1qNjtWxl2Mu7DE+F+KTqCv2QLHRTWb4LqMzyRQlonyWRT0EEupCR5Oarg+cP0Cx4J2VCFc0BqCZp/L77/3c+wzFxnUuJLhrHotPn3yn7J2PknihCA61WJ8MQfLuWvOKGwEhGmydleK8ibB/UMnuMPMAx0drP84/1M8fXQzRkkSyAnKW1x+/p4n+MrUHoY/pxFYKuIVS0jLQm966E2NitfRJXslG+iNQHCmSuTxKBVp8T/ow1dWjJ8uI6tVyJc6GbdG51lRnupsxKfmMLJ+tHPb+L/638P7Uif5cOgcRriFCgWQttNZVHfx3PxitGgEBnpZ2xLkbXvO8NbYRVLaC/OHrVyOtKKcbg3wD998O+lnPPrO5lBzi7fdAvh6UI6Dml3AV6mRL6dZ8wIkZJXIiz4TED4MTWM8lOP84DiabRC7RoHG2x0ZCCDCIWp3jTL7QUVmKMd/GP4G/XqDuAxwyYapM32EpjTM+WW8tfyGD9pomTT13QOs7jb4hU8+wP7ANPvMjm356Hv+gooXYMhYIygcakqn7pnkaxa+JYPkCUXsmSzKMlkIjjGV8PHtobdhhwWNjHdF28QLufz0wWfYF5zlvsAMae0Fm/ARXadfr/K793yV7+3axpHv7GIsl0bVaq/bLfFGo5+4ROb3hpgZ2Mav/8QOtEyDf7P3QQ4Eptms29gKHl3ezOz5DCMrr+1045aryLPTJBsDHP7yHh4e3knv/X/OIX+ZP9zzBU5sGeSv5+6nrzWBNrO8YXV+rmK9Q8GNB9ncv8JHk0fp1x1sBfmFGOnT4Pol7UPbcCwNx5JX5iKj5mHmW2iFOu7kVPcEqa4RoetoqR7mPzFGbdBj151TvC15gUPWRYa0Kg/Ut/DXa0P84+F99D4uiORs0tOLqFq942Z4m8zZl/HN5ln7Sj9fnEjzgY8dI6XZN/T8QteRyQRzPz9BbZPLR99ymI/FnyEhm6x6Hn9X2s/DuS1MHh+i9/uKwWwb4/wMNK5d2+6WBm2EriNDQZyISSDaZDhUwBTuyy5DInl/6Bx3BjpiWO6LUjFNZVDx/HwldJBHZ/fgmjrBgTRaPoCXW+2u6PCLEQIVMKn3eVj9VcaNFeKys8BvKqhkw6QmITBTwckuXznMWMyTsHRqgyZzrqSXNnHpZ9RYZdPAKpfcNG48jFwL49XqoDyaTYPJdi/Hy4NcKPZg5hWqWN4QQpg3EmH4EH6TZlhHj7RJBWpXytebyiHveRytb+JUsQ/Z6sJnhk4lgGNquH6JbXU21Y6nUfQsbF7bAUBDIFH4pY1reTgBDc+nI3WtO92khEToOo4lORifJW2UOVfaT7liMbRsYyyWEK6HCpi0e4K0Ejr1XkW4v0IyWKfPKnOh2EN5NciyL8xsu4eQ1iSm1Sm3/ARst6PP0eWWJqrVwn01ocGXLFRDfb1Y6TieqeNaBnZIp9GjITzQWh4lT6PoBrGVxMPDQ1Hymiy6Grn5GLELkuSJCuLURbwuayvrBAH9NFKCZp/DqH+VqPSz5DbIuT7O5DKEL2n484pgto0T8HGq3Ed5LcjApQKs5jttvQE/WluhtaDlGdjK27BBG1FtEMyGkbbCqDnoxRacnMR9jQCuV69Ds4Veg1wjSN0zCUsdTVMo7Taq4LysJRIOUx8MU08LdocX2GYuYgp5xT3MxaGuTKquH70q8OfbnQxvT/LKqZRtQ6PZ6WN/idulcpyO5WyXBc2vBa/ZhGoN19GwlcYrzbo6GgHNxvUrHPM2eXZuACLgh0SUWkZjaDTLnT0zbDVaWNKk4DWZtgcx1zQCOYWoNzf0WCt0HeHz4cUjVPt16v0eH40cY1wPcNmQ5JC/jK2KlDxFU2lknShZJ0a5HMAqCqzsC/OYAKxMGl+hj3bMR6Ws42mdZ6cdlTw1tIla0mTUyAGd9nhDdNqoTHTeGbjEmG+FxzPbwPRB+8Zu5t4IbrkMz50itDqItX2YmuFnzLfCXaaBrSQlr0m+HsAoSPTGDxkzPBevVkNbKxKdSoDQyLkRoMwBM09Kq/BnPe+lmQ4QzPlvyf29UYSmIRMxGnE/m6wSw3oBU0hs5YFQKAnNuEYzrl1ZI1/GqEoCQYnfMjDXYqhGszOf3QbBCqHryFgULx2nOuJhjZb5SOY57glcoq0kFaXzfHWIw8sjhC9qxI4uQamK0w2ButeJqjcIz7vYEZ2K58dVbTQh0FC4psALBZA+4/qTTJdF08MhSMaojbj0jee4J3KeXb4WM45k0g5zpDjC5EKayAVJ7AezqEYDr1S5ruD6LQ3aaL0Z1t45RGlc8mvb/5F7rXP06688KfdIH1Hp4r3ki3Np41FjIP09Dn54mqlWiofv30wu28vEZ1P4pldxsyvdFYCQGlooiJMKE50o8I6Bi6S0Bh4mOdfhkhMlclYn9fAcXr541aFebg1/q006PsrPjP0qu/sX+czoVxnTBb879jWeymzmv3/iJwjN7KLvWwt42RUS3w3w+xc+jq8oMKqKnmNVvEql6ysIriA1hKbBvq0sHwxR2Ovyvx/8KqPGKiFhkHdbPN4c4LHSNh75wkEiMx7xi9Nd6bLgVmsYZ2YxdJ3gmQBexOLZ4DYOj43y2we/wy9GZl712KLncc7u5ZsLOxn7go1vOQ/Z1U57VBdqSAlNIqwAdlByV/AiQdHmb5070XSX6Q8bCCeFiLcxTIdgoILfcHDmkjTPxCjOx3EXMoSqLvFyi5U7Ezz80S3EzTpJs8ZSIcJEtYzTaN4WE/q14uYLyFodTdPQNImp64RMH14sRGUiAgKGjTUGdTCFwarb4LfmPsSJbB+9j2jEn12BlbVOj30XBdOF4UOODmL3RmneWeNjW05wj3UeD8H/uvg+HrmwmeiTfnofzHZadetNUmKEY6kJIvOyE7ApdYQ0vVqD0OlVjGqc58sDzISPM6JvnE3Bi1GLy0RqDVCqs+lr27jOD79WIQWuCRmrQlSr01Qutq0hyzXUbfLOaIk4aiDN8l1xwp9Y5N2JBT4aObau3fRCi7df6Bwys+zwLWN9qs2Zj/TRcA2aro4UCikUT18cJfysH9kGvam4XEqitxTBpTZ6pY08M/WyCtkf8+bF3jHCwr0B7O11/vP4NxjQy5hC53gb/t35TzO3kGTT99v4pwt4+Y2tISXHRijtS1HYLOl71zz3JuZIvShRVPAa/HH+Tk5V+njm2AT+ZQ2jAnpDMTxtE5hfg9XCVUE/L19Eb9voPoPgmcCVYLEyDZpHExyLp/nWu3eTGijyrye+xzsDMySkD1PoZDQfMVlHhm288Hp14AbGQ2Irl7pqk3MF1bkImdMKY6X6ioHQlx2fLxJ7chYz38eRn9nEbnOBIU3Qr7WJH8gxG0myqZlGn5m76ffyRtEGepn69CCN0Ta/kTzGJsPDEj484fEf3vF1jh8cwhAuuvSwZBtLe2FvWHX95NphDmeHaT+6ldCiR/y7kx0r6w0c9LwWtL5eZn92mNqgx8+980neGprEL2wm7SS/d/6nWJ5NkHhOI3G2ibGYXXdG7e57/qE4TicZVdWZaydZNlZJaToJ6dC6u8KldISRb/nQj9nXbGUuTBOtvxc3GWbhbREafYqP3n2Y98eOk9JqLDqK3zj/SWbPZ4g/L5l4voa2uoSXW+205V2nscktDdooy091SNIcsLnbmmTnawheGULDQMPGxXuRbKWJxBAacR/s9M1S8s7zttB5vt6zn1O9u9GLIUS+2FVBG+kzENEI7ZjBaGyBHdYilugIGS66FpOtXgKrHs4rDKBeo4HXbGEt9qIuBjkl+6gMKzKaxiHTJiJO8hdjb6GshchELNTSuqZH3YdRcdAbLvpKCafLB6gXI6RAaJJm0k9lE6SGC/xkcHFdO0mjqWCqleZcOU3PSRvr3Gpng9WNeC7uWv7KH2U4TGg2Rtnws7Q7Brx60MZGUHQtChWL+Km57iiFfS2kBCnxtI5WjyEcbFdDSkVsoIxpOOxMZMmYZUzp4CH47PxbCawI4uda+J+50NF8ajaJpu5ktRrE9TrZc7ulg+t2VeDhRqBaLdyXjqVSQxcDeEYU14SYrGMJH7ZyKXqS55f6sS+FCU/X8S7NdqXbljB03GSIRtrHWGae90RPkdHauMrH6UIG42KA6JSNO3npyjH+pSTBhQTWstexEb08pioPUamhV4JUbZOaMrBxMNh4VQRevd7JNL4OlAZ+zUFb15JQnkDYr12u302IQAA73tHL+o+jD7DZWGVE912psLmMRNKjBegB/lV8EuKTL/qZQBOS/8Xaw99V34JsSvS6eCFo05B4mom/qBNaCHeCZ+12J6HyJht7fsw6UkNIQbPHR2NTm70DS9ztr2AKHy1ls+j0MDeXxD/rwz+XQy1k8TZ4C6oXtagMSRojNj8/+AM2+7JYstO83qnWVBwtDnN+OUX8eUlkpo2ZbyHrbVgt4OWLL8tOK7uNW3jlZJPvkkkgEacyNMZqO8H5wV7u9M8SxsVE71TcCB2f6eCGzI7u2kZp6Vyv8FOmgaeDWnd+9PDIuy7LbgSjJLFW2oj6tRloKLuNs7CIGY+w0gxT9PwMaXUsqbEzkaU25MOOhH5EoqfXgdTwIhbNzU22D2fZbOSuCJtLND4WusT7gxeuVNgbCKQQ61XmnergpnL5QnAL/2XhA3iGTiISRrTaqFq9q8dcFQpQHXfoH13lQ9Fn2WG4PNGMMtnqZXk2QeSMTupoGfXMyWsK9N0WeArZdNFairwTouQZJDQPv4AdvVlOuv00Mn6ikTCedw1mAVJDBvw4qQjNTIDKhIu/r8b90RO83d9k3nHIuhazSwmiZzR6nq/CD55/Q9/3LX0n3USQ9t4a+wcWSckWl8sgX4kzts20nWDOTjLbeqGseGdgno+F5tdFLyWWMNhnruAljvPge7ZT3BJn9O/b0E02kVs3ce4XouhDNX6z7yl2+JYJS50lt82nv/0viZ3U6Xt29ZV/0UoBHvrkIpu+0svKHWE+M/YODoRmeL81R0bz+IVtT/ODzCZWjo0SZxO+hSLmjAu2A47TNQ4D18plbZNaRie0rcBd6Vm0F22QSp7Bo6ububiQYku2jlpe3fCLnGvG89CbCr0uqXsvF/i+nVHtNqpSITLb5l8990kiVpNK3Y/rSEq1IKotKRxNYdQE/jWFUVWMZ9sYa3lkrohbe2XhRl16CLkBFm8bAK0niTfax8ruMOYnlnlvzxxjRpOCB/9f4SBPF0axvhUmcbqOfmGxU6WxERa+14EwfMhkgpn3hGiMtvnt3mPs8q2tO3e0Wc5F6bmkMHP1q7Q2xNwy/Q+ArDdxXjSeyHCY4js2UR6WfCJ5hM1Gg5AwaKnbI5gBgJDINizVI1RiAQwhMXwOXjSIdD3IF7ruOXgpXjJCfpuf5oDNuLFG7+vscHOVxz+JHaHnHVWannHVOF11TS5UUqzWg8yfHcUsSNLP2viXG8iLC7enC9ePeU20rWPUJuJkD0l+et/THAxOYwiNJbfBt2tb+MbKHuJHDcLzDqyuJyw3+Gaz3h+gfrDO3oElDvmnSWoKnQBV1eJwM8Ijlf1Mf22M9EWH0GQeUax07stx8BrN604EqHYbr1Bk8Lt5Wr0hvjGykz2BOQxzkdCLdkH3j53hq586QPLZDD1Tsxsi4KylU9TuHKUypGG+dY2Dq4xU1AAAIABJREFUqSV6tTLzjs0vnf155uaSDB1x8Z9euO7ko3BdZitxTsSHGNXPkBA6O0OL1NI+poNbXmOH9qNHi0Twxoco7Ajznu3H+UD8OP3aC8+Eh2LOlWSdKF/M38HJfB/QaaXrD5XYHs6yycxxd2CK3f45/s093+HJ3eMc828juNhH7zdncbPLG+IZuB6EriMti3ZvmLftOc97EyeZbPfyRC3KHz38HkJTGqOnbfzzeUQ29+YJ2ABetYZ+YZGYOcQ/TO1nsT/Gb6S/R7+m8+sD32Oyp5c/sO8nv32UgYfryCeOveq5tFgUb3yQ8qYQyx9rMdCzwi/3nmHEXGWHr4CtdB6obeVoZZTwMT99D692qs7f4D3c2qBNQGcss8yB2ByG4KoKGle9ED12UUzbSZ5vDHO22st0OXHlc62Uzn3WNGGp8K87lvRpAXb7suycWOBsoBcvspGHmpfTTlrsuGOae5Pnudu/TFx2eknXPI3kUY3Md2Zeu9xVqU6VRC5HInyQo2vD6NLjPdYsYanz/vDz9BgV/qh3DGs5SOBk4SpdnNuGy+4KfhNhBWhHBTt6ltlqZa9kQzvVAAHmS1FE3ocsFXC7KcD3w1AK6YBwwPFe3e77dkS5Ll6jiZFv4kxGWIkEEdH1zFtVR69JkqcUVraFeXbhyjvgrf/3SgihkKhOpfXtos3xBhChIPUBi8qo4Pc3f5WtRomoNJlx2nx/bYzzixkmjle6N3sjBMLQUWGL5niLg+MzHAhMk9ECFLwmRU9CxcDKOchK86p7dAsFKBRe9iwJ00d5WFIbcdniX7oyvt82QRshQAqkAw3bwFYaGgJN8/BMHWls+HztNeEGfTR6BL5Yi5TmYclOsMW7LgP7zpi806ez0zf5smNt5bLY47LohPlM5F1cyPdQLCaJ6IJwLgSl8pvSrvbNjN0TojimI0ZqfCR2lF6tjiRA3jU4Ut7EhVwP6RmHwHwFVat1xSazHZJs61/mrvg0I7p+RcC+7rmcbA7xbGGI1HMtzOcudVr33+g9KdXRU3r+LP65ONP5TWSdKHXf1evgt4QucmFHigu5TfSIjbF+EkGL0phObVDxoYFJDoRmCEuboudj7lKK6Gmd0IU1nKXs9Z/cU5SbJgutOM1gp/qk3ygwYkW46Nvg652An2a/Ra1P8u7Yae7xrxKSnSobBxdbuWSdMJPtXp5eGqE8Fbty6FIyylpfkLVoiM2+LCmtwT+PXeLOwCV+dW+GQixK+skwIl/ovipHTUOEQ7RiBu9NnOQ+a5q/K+/lSHGUnqOS5LN5xOzShhHavpUou42by+FbjlHMxjhmDlDpMTB1jXf429xhXuDIlk38IDhC7XyYiOED5V2dzBWy080RCtHoD1LapPGb+x7iHmuSIc1bH8t81JXN6Xo/J9b6CM+5uKfP35B7uKWrKV+2wtQjI5xPD/L49gmS/k6/tqMkK/UwlZaP/GIUrazjKwmMGhhVhVF7YYHySLKXb4zegTZY578c+BKj+hpbDEFUCn669ygP+naQDY+xMWUer0aYJlo8RiVt8N7ERQ5ZF7CERl21ebCe4fHKFvxFD1WrX3OvoTmTJ/vlPr440csHPnqMvb4G/brLXf4pMu+f49K+Hob/egh/rX7NPXtdgRB4b9tLaSJAaTOo8Rp7Bs7zqcxTDOlFTOHjSEvxe9Mf5cJSmuR3/PRkbVjN//Bz/5juQCmU7aDNrzD8XRPX1HD9nZJrrekh2w7mUhlRqeNdo1OaT7qk/RVMfxtl6Ahdv33emetAi0QQyThrd/dR/XiFA5lFNhslKp7kL4u7ebowysJXR+mdc9HmF7tSHwo6uiXVeyYoD+m8a9vzfDj5LENai5bS+U/L9/Lk0iYSxyTBM1lU8RqzmlaA2q4WuzYtMG7koCtmp2tHBgKIYJB6n8enh46zNzCDrTzsto5WqUPj2kr2NzrKkDhBRcC8eXpEEklKeviNMp/OPMViIs5XQvtYKkdYvDCAuTZE5mibwJksqlLBLVd/HMS5zVnb5Sf+gUU+kplkRO+0Ls47Db5cPsSjD+0huCCwJrNQKHW0w7qQhmqz6Lp8p7qT//fr9xOahb6pRdx6/YY5YAldR46PYveGSafKbDMXicqrz/1AYSfnDo+SnPQ2jOGA0xOmfEeTTf2rvCd6in69RE3pXLQ7AZvep8qQfX2t7aLZoj6Z4qvubt4dOcWI3mSbL4tf2nx94G5SO7fCSn5Dts67IxnmPumwuX+RfeYihtC4YLeYc6L8x/MfZjkbw5zzYRbBynrE115YlTiWQS3Yz5PRQR7oO4Az2uSP3/q3WLLFr215gmd7R/h+YQ/BuTiZ787hzM3/CO/02hCGDxkJ4WwbZvLjfvwjFfb551l0TT7z2LsJXdIZOFlGLObwbpM5+XWTyzPw3QSlsV5OjA6yx7cEgIHGJ3oOcyAywxd++QDnP7AL/zk/ibMuwgPpKBpJjcqIoJXwyGzJsT1cZMAoMG0n+PO1HZTsTtFIxTY58dhmIhchcSZ/w5KYtzYFli+RORqjntKZVAOct9ZvwxUYqzpGVTBy3MaaziOq9U6wot64qsc+vl6ev3xXhKe3jOEGJZuMZcLSx09Yl5B4/Ll/c1csi6VpouIRWlHB/sA0O4wmpjBZdRv8oDrOM7lhfBUX7zomLrW4TN+3PfyH+pj7YJIdxixR6SNkKP6P8X/gxOAA/+cj/4SA3w+2fftsQIWkNBEgd8jlvQdP8EcDT1z5kcSHJiRn22kmjw8RmpYkv3kWd+3GvUg/ZoPgubi5HNrDuVccA673961Jj7hexzQc0DXQtI62zZtskySCFk4mSmlC8mf7/gdDep2MZnLSVXx3aTtzMz1sf2AN7/wUzjUI125URCjI2nad+ojDz/Qc4d2BOhCg6rV4eG4z9okoQ+ebOFOvrhX1UpTfx5bhLD/Xe5h+rc1rtQV3I8I0EZYflbC5P3SSsLSxEbiu7LjYtNu3xfvi6RLXrzANh5uVgzeEhiE0QkCfVcFWRT4YOkfJ0/jzobfxfHGAXG2I3lwUTSlEo7nuaPfjmey2RAiqQ/CZiS+S0RqkNJOS12bR9XG0MEzv0y7WfB1vdqGrdBxfiq08Fp0wTxXHGHqwjf9cFnc5d0Md1ISu0+6PUB3wMRieY0gvE5ZXrxLOFdPET0N4prVhjDmcsI+3jF/i3sQ5Dph5LKFxzpYs2nGi084bq2pttQkuCqpGmNyuCJI2g3obSy7TSno0BsMEWm3YgEGbZjrAbx/8Bvdak4zoHU29OSfK8eYw5afSDJx2iZxc6QjsNltXPUsGnVlYi0SgL83KPSme3TvKoeAFfilykfusc/zinX3keuOkjkZg4+sxIwwdEQ5RHvXzC+9+jLeHzjGmw6PNMD1HNHqeLSCmFjpuZG9yvGKJyCOTBJaHmfl0D4TXgzZC412BJu8KTPOr0WnYAR8f+QDnfWMIF6QN9WGHt+6ZZH90ll+PncHD49m2n7Otfh6a3UK92qn28loaI084WM/OoG6gZuqtFSKu1rAuFPAv+zHLQdz1smmhwKg6aC0Pc74E6/bTqm2/zMVG1RtoS3mCK0GO5oeRQvHOwBKWkISlxrCRJ7/dIFPfj3F6fkNGiC/jjQ8x+8EorS2NK04AADlP5ytn9yKmA4yvlPCuw2ZYtduoQhFrOcmfztzD+cwkvxI/TEozSUmHIWMNzwdC11ByY5R/3ijqvYKxzVn2h2av+vtTdptvlPfyxZm9ZA5DcKnRcTS5DRGmydougW9nkTtDU1eJZF4WwXRVx5r5x/xwbE9juR2h3vSBXV3fIL15vrvL1qz1PYMs3GsQ2F6gX6vTVIIHG2G+lt9P4aE+euc9WC10gsvd+P2sC8q56Rit3XX2Dy4wpBfx0Fl0Wsw4ERoXI/Q+72EslV/XItlFsuwaFL0W36ju5kRlAGtJoZob2573NZEazvZhqkMB0ulVotLmSGuAo7VNaPN+VLmKajR+1Fd5Q6gO+Ljz0DneEruE/xZZtmtCEBQSTbrcFz3NVivLX39A5/yBBMHTI8TPDRCcKuM9f/aWXM+tYpOZwx1rUmsGSOm3R3vdtXJ5zK2+bzdrOzSG7ppnUO+8Q8tui/9eOMRnD9+NNWUwMrmGKFZwusT1RVoWIhikkZLck7zA3sAshtCoKpsVN0y+ZWGU26jy9dngXgvCb7K6y09lk8eHonPrrm+dZ6vsNSl6HiuFMENzbYy1Gu4GqbS5qeg6jZRCppvEtE5yvK4UeTeA1hLoNQfR2phJGL3h8uDadiYbGaZqSVYbIWYupPEVNPqO2lgzZVgrdAI2r/Isea0Wcq1A7EKEP3v4Xfzd8EE+v//PiEmPjw8f48nQOPnxEaLFYbyV1dct0n8rkJkUhUN9FLYL9lvTxGSDf6xneKCwi0DBRRareF3oCnszUK6LarYwlsv8zbfeyd+M3sG/2/sg77bOU1M6tpL0a216tAAfyzzLV+5VOErieJKRUJ53Rc/SbxTQhOC5lo9/8dynqOeCJJ7TCFU661/hgnUxh6re2JbVWzoberUanLsAgPXMK3/mhw3Tl90tAtk0U7kEQaNFM6GIIwgJk369QmWLg3ADDKzENmSE+DK10RC77j/HW2JT9GsKY30hmHctfCcskmcc5HIe7zr6KZXj4BZL+LIVLp3p5cv1AB+KPEdG6zha1FUVzxCg67eVRoeQgkba4+cGnmaffxbvRcLDJ1oDfO7SAVqnYmQevoiXL+LdwAzORkKYPvTtZX5nx3c45J/jxVl9bb1HWxMSlIeGQl6XHsObD9vVWGmGaDcNhO10V2/zDUD4fAgrQHGzj3fed5w7I1NkNB8XHI8HSrt4ZGoz41/PoWYWcBuN7gzYAELTkOEQtZSf9285xk8njtCvKVylmHEinGgOEb4kiR6exXudveC20si6EdpK43NTB8nPxxhdWBfW7JJN10sRmkZpLEBhm+DtiSwxKTlWG+FrF3YTnBe4xWLXPhMvpdYn+JPhb6zrJhjXqWXz+rGkgQX8RKACgQq/tGsOb5fHR0c+zIX4CBkZxXr+llzKLWPct8KBkVmeKUzAbaKJdK1cHnMX3yH4zfd8k0PWBfo0ixW3zqJr8vWZXUz8jYOxUsSbnOqqgK+wAtATo5lU3B86SUazkVi0VcfNpdI2iZYbN6cawDQpb3UZ377I3cFJ4vKFtVHe85h2otgFE//0CqpSu23GrdfE0LGTDqOpAjFZx8Oj4mkUPQutKdCrbbA3ZtBGazicWu7lrJamcTaGPy/Y/EQNfaWMWlzGvYYAy2V3TN8pyag+zOqeGHO7owz5K/xq7Dj7A9P8+6Ffwcom0Ks12MBBG7cnwuoegZyoss9cwVbwUHEHh5eGyay2UaVyV40VNxWl8BpN5OIy45/z0xgI8qX0fkaHc+TcCE3PwB+YIqF5fDK8wCfDCy87RSchLjnRHML3cJTUlI31/bNXmQXcjN1C186GerWNNxflrJ6hPvLCBt1VL9hnblS0WBTSPVQHNO6OX2S3fw5T6Cy7Df6uvJdHV7cQmfYITlc7tnOvA9FoEZyXVLUI2V0RtqoipjAwBVRHPEqHBogcM+DC1A2+u1uD0HXEtgmcmJ9GxqQVkUQn8gwZa1jCwVaSw60g3y3v5uHFzdjH4kSnFTSaNzyDs5FQrkc9F+Q7+Z0MZdYY1F+4V1d5V1XauAi8m1bo3914uiDkb2EZbaTY4APKTUT0Z2iNJKiMKO6JniOm1XmurfOlwh1886E7Cc4JRGG5k8Hp4kWu8Jt4PXGacY1R/xq9Wg1TGNSVzRfy9/D0yjBWzu1kTa4xWyVME22gj9polM3BBVJ6madqE0zVk1SPJ0lNQmAuj3sdlZQbDilwAgInpIgZdUyhM11P0p4PEst36T29BlIIJAIP9TKr77pqc7Jt0lQGu33lK4LTL2bJbZB1Tf4+f4ivn9+NUgIhFNFwg/sGzmPJNprwiGoN7g+dJiHBEsaVhA50KiYlGu9Nn6Zxh8G87GegeSeBxWqn4qYL3kPPERTdIC29dCWZcHl+Api1ExxfGMBc0Toul28ShK7Tuns75REfiYk1dvvn1p1WLb5a3cp/m7yH+vNxepdWEOVq161l7O3DLN8ZQGytkNBsLHlzK9aEriNDQZydmyj3mfh7a4yFVwnLJqCz4tYpepI/yP4kj12YIH5C61T5bIBKbGGayEiEWlxnIFAkrZdpK8WiI/jX536WhfkEW7ONN7TdUYZOMFXnjuQsCa2JxM+aF2DWTmJUQK6V8V7nHuRmY2RL+B7uR0lIZz2MqoORLXV+f9c5ZqhmE/9CmWAqyQPlXXic5oCZJ6nVqA16FMoBUitRWF27SXfz+rmiN7g1SHL/Cvt7FnAVHG0N8MBTewnNSIzl7CtWHMlwGOH3QyqOnQzi+SSuX3b20AqMio1vZhXWgz3K864Ef7o+AKQ8VNtGWy0RAM4/P8TvVD9Go+XDdQX/fNcTTMTP/dDTuEi0lkK2vI50wk2ma4M2slQjdi5KkTDFg11mbdyToLKrh/KYxyfCJ0lrFqAz72j86Ym3w4zFxNEV3PMXX/c/oao1EmcdZFvn0rsyHPCtYmgaQSFJbFtjSSTxr8XRujVoY5rk98epDAucXTUmenN8pPcYm40ChoCmUny1cICvP72f4IzO4JN1jHynSuu2rpZwHPyLOk9Fxrgvfpa3mktXfuSh4MetUT8cIfAMQdzfIGI0cdSbMLC17sTWGkmwfIdJdNsqnwgvcabt8dXyfr56di9b/2QRb2UVp17vio3iayFMH83eTtn+Vv8im/TOhrvitvnO5Hb08xYjU+XrslyWoSC1bSmK4wb7wrMM6UX+a26cqYUexh5soT363BXXxG5FaBp2SKBibdK+CqbQuVRKEj0vCC51r8bGKyLouGKtVyq+dBxtKY9vlfdStC1SqUeJv8KwMe2EeKq2ma88fhfb/u8seB4IQW1bms9/+C6EvzM3BcJN+ncX2G0u4dc8LotXX25xBfj12EX+RWySfxt7O/9o7SP5XIzkKa0rFtOqrZF1ojR9r+xiebGVgckgoTnVFfdzoxA+H4v3mCQPZfmV0Sd4q7+FXK+W/fuFOzA/H6Nntol3aaYrv5fV3QHGPnyRd/ecpU8LILmJ1d5CIHw+6Emw8A6LxqDLu4emuCs8RUK2AZ0ZJ8D5dobHvr+TsS818S0u4WyQjbm0LFR/D/UeyebAMkN6HlvB860Bqt/sZexUCzm1+Iay+cpnsK93gY/HnqFf64wxWSfKdLMHM682tACvc2ma9GfWxWbWkx7O65xPvUoFzlSIBk0enNtKo9/HjsxDpLQ21kSJvBYlfiaMuCA23FpHJGLUtqXJ7xJ8a8dfEZWCvCd4pLSdib9voJ+e7gjWv8K+R8aieMkIxR0RSuMSO6hwYi54IFyBf9mi/4k0stU5VrYdpOt2kt/d5qr1UpRC2W2c+QVkvsDAw7uon0oQaYLwFN/s2cWvX0PQxlYaWrPTrqduwbPRtUEbHBejptAbAk/J7tqIXm5Lesl8VVM+7JKJVRKI9hsrSVStNoGlOk4gxOOFCRJ6lfsCM/iFJOhrkwu6eIbsCsHml9LJQISpDgoaY232DyxyR2yWLb4sQSmoeIpVV+fo6hDxExrBZRdjpYKoNbouM3XdKA+9Ac2aQcUNXFXCL+my9+RHgRCdjWhAcjDe0UaarKZ/xBd169EzaVQiSnaXSXt/lfv6OvpIZ9tpvnBpH9qUH1VvoNr2hlvEvB5EKEh5xEe9VxGWTTw88m5Hy0Yt+glPKWSpfm0LZKkh/Sakk6ztNKgNuwwZa52GGiVACYTb/Y4/0rKQkTCNjGLTYI6MUepoQ1QDJFc99Er76kXM+iZK6DoyHALTh5uIoEwNz9TwdIkd0jrtuy8hkGtjLBQRtQZeoYhyvRsqUnpNrN/Kq2mCZV2Nz585gF0wOTnRx6bI2vrnBcW2Rc32kS2FqRcCxM8KVLly5RkILFrEj8dwfZ0lmWOZ/E7rYyRjVe4fOMO4ucw9gWkG9UCntVXI9Q2vZE9ojue39JOt9dKzawtaoYIzO79xny/XxVw0+NvZO4ltqrPT9/JNctoo0844NItGR/z9NkboHVdC2ZfBTYZpDbV5e+YSm31ZJJKjLTjWHGJ6JsXEbAtjpYLbpesYra1YbQTJO8Gr/t4nBL1Gib5gmdWxTVhMIJotaNu4+cI1iSxLvx8Zi3aeF13DiwYpbY/R6JHYe6ts6ilyMDzNqC/HjBPhkiP4z1Mf4NJMmuQpgbFS6bRFbRR8Bk7YxLEESa2Ki+DLlT08traZYNbFzFZQrTc+BkrRWSO6qE57lBtgzQ4iuyEmeIODBrLWonwpySPuBL/U8zgjus3bB6Y4og/TjkXx6wbK2VhrHi8apDLUaXMzBSy7ks8W3srj82MMVjvvjTY+gjJ9uFE/nk/iGRJPE+RGdBppQbPPIZipEDfbxP0NPASOJ1npDzETinDZZE22BcHFCL6yIv7Y9Ouzmd+ICEErqtFICdoxhRPy+GRy+poOHfWtsnpA0UhZDBb60JYNvJvYita1QRvVbBHI2dT6O+XIsDH7Lq+HohvEn9UJLip4g9aNXqUCz54hWhrhyOkx1saCjI+tsNVokbEqLESjuKYf4wZd+y1Dap3ocDqOvafGL+x4hg9EjrHLUGhCAD6mHTjRHGL5VJrNf3Uc1W6/sMjZQIPtzUC5Hr6SQs/rlNzby6XmliAkCEk7Kvif4ofJuiZ/0rjvR31VtxYhaG/up7jZj7wvz+EDf44pdCQ6DxV3YHwnSnLW6ZTJ3ibaUG48TH6/R2y4SErWsZVk0glxuD5O8rig55E5vLX8NZ1L+gxkMkFtU4zIu7O8Lz3FPnMFCejyNmkZkhoyEcfriWJuLfG7Y18jKNrMuZLWaoDIZAW5WrrK+l3oBjIcQoSCtEeStGIGazt0nJDCjnkov8vAwCr9oZdrBj1zfILMExmC2TbmmY54s1u89c9eZ2PzynPIZDtN+ot+IsdWKO/LcCLW1/mBglDWwZdvM1xvI+p5KFZw1/IvzEeFEumzLyzHpGnCUB/tVIS/+al7MIZr+Pd+jUE9/7KKyZ8JXeB928/zm4GPcmlxM5GZEFZ2ZcO6CSnbIf2cQ7Hcyzc/todPhR9+2Wd2mgsc2nGRp9ubEb6uW6VcO0J03NdCQYp39FId0PjJ3c/yu6mnr7TEfa5wiK+d2EviaQPtB8/jbrBN4/XgqyoWV2JcjPbg4XE5bRgSBrt9WQ7Fp/jL/Vuw+lJYORe95mI+b+NeS9AmFqW9tR/XkDhBjcqQTvqjs9ybmOWfJp6iX+s4s9nK5Y8LuzlcGKXy1wNs/9IpvFYLd4O1+Aq/STNt0oorxo0cZWXy3069HW8myObnc51K/Btwvd56JbGnFDYuS3aMhXoMzd4438UtY7VI/2MJiuNRpnf1sM9X5A/7HuNCyuOfDfwWAZ/RaavZQFVurUyQwh6PoeFV/ELwaGuQzx++i+CUjszPoHSd4sE09ZSkOqxwwy4yaGOYDj+95RifjD1NWLpE11sVtRdVE7go7LteSP2uuYLPl+7g+6tjtBf7kLdJ0EYYOtUBQWNrk3958BE+HT2BJTS4hrKGQ2aW3/3JL/Dttd1ML2wl6tMRbRtVqdyUa+3aoI3wGbRjOo4Fhtg4L9A1Yei0QxJvvRT68uLLpaPHI27Uut5zEY4LnsB2X3j4Lmd7u6roQghkINCpsLlzhGqfxkTvDNv9i6RkC1NYlL0mNeXxzfIhvjG7k+C8xGu2uruE73Xg6QKle8iu+gVvLJQAvxD43mRCzZd7nAvjfgo7FW9JZYlIPwtunbPtIM+uDBBecPHnutjx6EUIw4eMhmmkA5iZOluSOfzCo64UD1d28NTaJvxFF1WvX3OfvPD5cHuiNBMa22M5dloLNJWg6PmYXk5iLPjQ6uWufjuFpuH2xmn0WaTDWXq1GmfbKebsJLIlcQMGKhVDs/woy8SO+3ECGs24hhMQNNICJ6iwh5qYAZtMqE7I12ZPbIEBs/iyf29uLEaunqa67CcRHCGw3EA8d+aWPoPChZLngmxfcZ15MWHZoDyiobVSoMAseRh1D2krfLkGWqkGrXbHGbPRvHrD5bmolvuiP7po+RI+zyN8KUW9GeJrA/sJyh+w27dKn9YJyHt4nYCqcAkZLVw/r1iptKFQHsIB4YCj5FUuPZf/X67fgrrN9cSEbiD60riJEIVtGo1hm53BBUyhc7TtcrbVx/fmNuO/YBJcdjZclv968ZVc9HmT8z1p8gMtwlInIHxoQmAJ2Gwu09zeoNHro1zW0Gs6GTmKmU3hJAPY1qtvWUoJjcqwRGngGdBKOXyoZ4qdgXlSUmAIjeNtWHR6+OLsPnILMUazDm6lsmG/UyW4UpFvKw27YWDWRccU4Q1cszBNtP5easNheswL+Nf3UE3l8nRhlDNzvQyV31zrZgAcB73uojc0bNXZM5lCJyjqL+uM2CjYIQ1/b43BUJGSp5hqpQjM6/hKitreflyfZHWfwE7YhNNVYoEmMX+DkN5ijzVLSvMoeoKs/fJ3KygcMhqYQhISJqZosdeapRCzeDbZT6gniVeqdF3yTug6MhpBWBbNLRkqPQb1zW3GBlYZM1ewhMac45H3fBxpjHGiMoiHwFWC4UCBt4YmSWkV9vrALyTjvhX2RuY5umsb7VCUzFq5UzhxE+jaoI2KBCmOazQGbcKyDV1UM+JEA1QHBUa8uV4dcmtpugZOW0N4G3OieiWEz4fsTdMcTVL+5TLvHT7LJ2OHmTAUAWGhCcmcK7lkp/nsU29j05c8/POruG+ygI0QAscCN+wS1n70Yno/posQAjHYSzsTZu0nmvzBXV9khy8L+Pl2bQt/cv4dtI4kyDx+Cq/WuC2CNjIRw942QH67j1/b8SB3Bi6R0nQuOfDZE4cwLvnZNFXAzReueZEsohHKW8OUJiS5WfTxAAAgAElEQVSfTn2f3b4yp9thjjQ2YR22SD3fRM7nboqzwK1C+E1ye8NUxuBnUxcZ0X386dpWvju7DaMiaPT6aUUkrUSUep+iZ/cKfcEy7+45S0ovs823jF+4WEKh0bG2loAh5FWZvst8OnqC2g7FFyp7+Yuzb4XjEUbOBm5aNuuVkDZM2lGG9DIjr7By2mwUmPjwJGdXMgS/GSY22cA3ncPNrYLr4lyeb9UPb41TjoOTXUas5unLlyAa5mmxnRM7+vitbQ/xqfALWmWaEGjoRPQWTgAcUyCE6OqgoK006o4P4QjoonXK9SKDAUoHMlSGJD/5kR/wP/c8Ro+m4aDzhwvv48ipMZJHdAYfX4Fiues1sIJnVxhq9TCrpzi+JcmQXmSLodDRSGsW7w3kefSd/w+2gqaSzDlRfm3zL2LOxzH3FDnQ++oaK+NWjneFTgNQ9CzCssnudXF0U/hZ8xr84cKHOJntI/SNMFtPVpAzy13zndY8E1Ew8BV4w+LcWk+S5fv6qYzCPwtO0687uEDOFZx6bpTUEbAurnb1HPW6cF2Mso1RM2ir7mjLrKUlv7r9CVJ6hUk7yaO5zfQ/2cSxNBY+ZbO1f5nfG/oum40SBi/MtS/Ms4LH62N8Z23ny87dHyjxkdizpLQaE4aLJXy8079CWDZ4aOIufKURfKfncZdXbuUtv2GkZWFvH6Y67Mf/S0t8uPc0bw+eo1erYwjIe/Dl8kG+nx9j8slRBh5uI12FbHuc3BPga/fvYl9mgf86+C2i0s9eX5sR/TmiH6/zvfw28hdH0G6SHtSNCdqsBx5kIIDwGai23alwuIbFyetFGRp2WKGFHLQXLU88BMIRSJsNO9l7fo12VBEJNm++d4/johc1lothyp4faNFydJQjb1xFz81ECKRpIsJh7L4Y9V6DzckcdwUvkdFsTNHJOLrK4weNMR5c205gQce/sIYo3ATbyI2OFLgmSMvBkhuzPP7HbEDW9UZa/RHKIz56e5bZ5lvGJzwW3DqHS2OUL8ZILKpOwKbLMiuvhgj4qWdMmknFkJGnV6sj8WEr8Go6eu36s5oqYFLrlbRSLknZcd54tjHKkeIogTUPI1eHDdq6cq0IIWhHBe2kQ49eRSLpMar0hGpc6guRbxrYIYUdc/CnGhxKzzBs5nlL4CIx2WZQNwGNnNuirqDi6rSR5NwwNc9k0Y5TcIK4SuIpccXB7fDaKI2cRbTELXFqeDFGTfFQeSf7gjP0a8tXOToB+AUciM2hS48TIxGECpAshhGFYkdL7XoTCOtCiapURngKM5+hvBok54SBpZd9XAqvkw3eoBnhFyNtD72pqNomLeVgCO0qUdqiGyRbDaPXZfc6q70GQtc7+ivpJMVxSX3IYauVJSEledelogRnchkCswbBZQeKZVS98aO+7DeMqjfwrdYw8yYPV7az35phwli50iZlCp0+rbMt8VCEZYGhgTUWjBhv653j7uiFVz33kLHGLl8LTymKXh1NgBQadWXzTNvHpfYmji8M4CxapJcdtFypY0yxUdE6VYmeD6RQNNX/z959R+t9pAWe/9YvvTncnIN0lS05x3bb3bQ7QGegYWhCw8CZHmaBbTjDLsM57JllTw8zLMywh9mz7C49MMtOAwOmYekwtmnc7Sxbliwrxxt0c3xz/IXaP96rYPteW7Il3/dKz+ccHVvye1/VW663flVPVT1l42QNwhn9rq/hvnibVtCRprAF3IEanVYBX2tOuElO1XoILxjE5mqoUhO2t9VxihGNgu9f/11SpombtHFjCkdtjpBVYCu2OguElYuLiakCKjGLWspga9csD7aOMWzlSCiDl2stTLstrPgxaoFNNbCpBRYvLmxhZqa18YZKo0yNZfsstsf5TPq1S7v2DRRRwyam6gQ2eGGTkLF5Luq42P7paCOzM0KpT/HZ9gkeip1lwCoTVooDtTbG6x18c3ovc5OttI1DeDIHfuPkSry9m6nJJCctH7evUS8hZRNTAdtDc1yItbHfGr5h+WKvS9BGWTbKtlBDfdS7EjizeYyp2ca1YDdocOrHQ7iDNbZ3LxJVF48ZBVS1iVkycAr6PSfzvVEq7TaJ3Ss81D2BrW5sg9fFEl2vBuQX45ze28vdoSy5WhhVtDCatH6uZEQiGN2duN0pZj4Ypdzn85WOQ3wkMkdINW4NC9C42ud3X/0EHU+GGDyVJzg3fs3X/t0ULItqZ8Cuvnn67Ku/6Ubc2i4ePRz7AYfWexb4+aEX2WKZvFSL83JpG997eS+7/mgB8kX8myRgA+D2tDD/AES25rgzNEO/FcLAwNVglEycvG4Eba7lPbuSuB/M82DPNO2my4xn838ceRRjIsLI0Sz67FjjivTNzLEpbvHZt/sCe8JTGCj+afowP5w8THnEoqRtbOXjEBA1PNIG2KsDPggBsOjX+HruLiarrZzOd5KtRFi6kMbOmrQd0yQmqhh1H7zLk3a77rGnsgDlCl7l/Z1UpM/X+OsnH+aJPbv58F1/QupNQZuU4fDlloNkUwf5zo/dxtFCP4f+y+10mwpjegH/Xd5KE9RqGED6vI/hO5zY2wstZ67DJ9oYOtCElirEHYOpXIoxz6fDdGkzLudgO1ntJXO8neQYN+Vz3EglKT48Qn7I4nM//jw/mn4VgLOezVOFfZwo9MALaYaeWMFYyuAtLt8UwSt/cRmVzdHRm+Cvex7k2R0jfGTvn9FihN9yk5SBosuM8LVd/4XCDpsus07iba4ItzEJqRCB0sQNKOs6E57iRK2ff334M7jzEbr2K2KzdUKnZvAXl5r6YoogHqbYZ+C11wkrn6l6Gx2HPeInlwmyb837dTWMVBJ39yArt0X4yc88ww8kTrDHLlEI4LfOfp7pyTa27q/h7D/ZyPHTTAwTZVuY3Z1UdnZh5+uo105f1zmmSsZZvs2hOOzTYW2ORV8/Ag+GF6lrzTk3yY7kAk8+NIibDPifh/6BO5xlskEjYPMv/uFnSZy1SEz6hFe8xmkLDclMhXR2HkwTbVv4LVHKPRFm7u4lPOLSYWqM1S0GBga28vEjGi9mwCbKOWakktT3DZMdCTH4s+f4YOt5Pp04SpdpUA4aOXt+6/jnKZ5uofulgD2vTqOLJYLiaoJyHZDQmqFaN3MPtlPYp2hffW9bGXSbRXqcHNq6cfP69x60UQqzrxu/JUFxOE65wyCWbiWaCGPkK7CcQVdrBKWry8puRKON3Tpu4x547XpvWKEyolGM1hYKnSFSqTy9sRwXj3D7WuNqE6usCBW897yF8EZRGrzAwL3BVwkrywLHxrcVgdVYiQuAUs3BKqnGgLjJqWiEytY2yl025X6fUHeZXjtD1LBxtU8x8Djr2cx4rRgzYRKTVczlAt4mX8l+15SBDgW0h4uy00ZcHcPE6GzHb0tQ7/S4p32KDitPLqhztLqDZxa3E5kz0DPzTZvc9N3SpsKPBsTDNUKKSwMTaOQWUz5XfywqFMJIJil3OAy3zbM9voCrYcGPoxfCROYURr68ufumizsf4zFIumyPL5A2KoBFixEmZQQYl2qxkcjPw6AcuFR1wKTrUw5spr0WZtwWvj2zl5VSlNJKBFU1iV8wCWU0yXMlzPPT6LqLvmLyEAAEujHZep+PNVjZGvGpMJnWJKfcGANmkS7TubTjxlDQokyiyuXByHlazSLPDO0jspQi0hbFznRfei/l+ygvQFXr6NL6q/1KKXQiho6GKHcY1FOQsKoYKAL0G9rrpqEDjHIduxCiWnFYDiIkjCLApevMq4GNUQOjTtPmG3nXDBMVjVLosyj1ae6Pj7LXURyra2a8Fp5fGmF0vp3WuQBjKUNQWPu63k1pNXeTs1IlNplgLtHCge1t9Jk5ukyXsDKIG6FLARwDxZDl4GuNrd54Rbh5xYKnrwPyQZUxz6eqTQpBmGW/hdfKQ5wpdhKMx4gvKGIzVZz5ArpUbvrjvdo0CRxQVkAhsFnxYtgFH5UvEvjXGMBbvRVTJRMUB8OUehX3xkbZY5eIKpsVXBaycexFCzuXb8odSMo0MSJhgpYE+UGbyIpJ/LjTeD681z7CMDEcmyARo9KpsTqqq7dIGkx5FU657Y3TG03YFym/EWxwlCZq1OgLZXH76oTjNQasLAnD4mg9waHyMJFpi9S4T2yiiLlSRDs22rYwShV0uYoKhyDsEIRMakkDP6qJKRcThat9atrjqBvl1fJ27KLCqgTgbZ6+SUWjFPsdSn2Kh1pH+UD0LB2GwkRx2k1yvt5JdjZJakoRma8SZHPoaq2xs3z1OwQ02sEaTcFWwQ3PsfuegzbKcRj9Uj+tH5jjnvYz3B2f4JXCVo4s9zJztoOuFzuIT9UwXzr6zp2kYRLcvo1Kd5jwYh0rW4GFFfzFxUsvCfaOMPapBPXhKv9qx7OMOPOkDYuAgKJ2ueB10HrSJ/7cucbd9E0oMl9n8WiaF/UW3J7ghmxnVqEQZmcH7mA7cz/g0ze4wJ3hCepaUx5P0nVEN66OvP5/9XXl7hpg+ZfL3NYxx//QcZA+K8NOu4avLWZ8nxkvwc+/8HNET4QZeLWGc2aWIP/+5TloNso0sNNV7ktO0GGU2Uy5nsTGMGJRZj7ZT2Ek4Av3vswvtj3HwVoff5q9hz9++VE6n7XoO18iqFRvnsnDDWCMDDH3aBvZ3Zr/rf/7dFs5zrotPJnbR+fLkD6ZJVi6uhuompURCqH3biM/EOPBbWf45+3P0WUagIWBunTMAcDDx9U+E57mYHWQ10uDfGf0NqorYVLHbEI5TepsmYFCDeVmIWgEMXBdgkIRv1Jde3fBBg2c1ekxehfSRBcG+dXuf8I9XVP8m96naHnTjpuQstnt1NlqT9D2w3/K5KfaKAchqoGNqQIMFXCm1M3pbCeT0+2kXnO4tBP/TWMBPwTV+0oMdGT40c5D7IlMc3doDlPF33CD1KaiNXpsEmchij+3g0OVYcLRs/RdUY3mpji7fe2U7WCkU1S3dxH77Byf7TnN3aE5qtpkf2UHr+aHmX98iG3PLMPCDH4m09S7Qd4t4/gogzNpinf18cv1LxHtKPHDI0fYFp7nc7Fxkkb40mstTKx3GCObyuDJch9fPf5JSrkwzpSDk1e0nvKwCx7bp+dRlRo6X0DX6wSbYJe5tg3cmEYZmqdLuzmwPIRVdtG1+jW3CSMUwkinKNzeRf2LKzzSOc0+Z4noahLocmDBaIy2o7qx6HmDPtN7YaRTBP2dLN6fpP3HJzkz1s3uY52Yc+o9H5Myk3H0cB8r+1J89mMv87HUcXbaHpkg4NfGf5QTM90MTNbR9Wuv+xstsqj57elPc39qnC+ljjKQeo0PPnqasPLYYpnM+nW+ev7TTE61seWVOpGjU43dMaZJaUcrhX4TFbSgAih3KioDHi29Ob687Sm2OgvssFUjeOW77K8M8dtPfIHYpEH/dzOoC3P4xavbkNEM6kPt1H88wwe7pvh0/CjdJkQNmxmvxr849FN45+MM7PeJn13GS4ap37eD8Pgy3uh4Y8NIOkVlZxezD9sEO4pENyBR/nsP2ihFtdvjxwYO8Uj0DLc7JntC07wc3cafeQ+Qn2kHFaJ1tLOxSntl4EY1tlYpwwDTBMcmMxSl1G3gRg1CKZtw1MGKXu7As0NR3K0VtvQssys0Q7dZwsDG15psAIteEqcQNK7TbFJm1cPJKSrl0A27m0Y5Dn5nikpXiJbuLHe2TeNjMOVFsPMG4aUaqtLEK75GI6pebXF4pO8kj6ZO8aHILAnDwddWI+Jb6+FktRd7IkTLaZ/wbJGgWEJvggfyjWTbPimzhHOTDnzFdXLxRrZ0inKvxhkqsi86SZdpMeO28EpmmNCMTep8CXsuh3eLBGwCAurYjdxoHu84GFS2gxEJU++MUxwCp6fEiL2Mgeb56gDHsr1EFl2M+RX8ahP3uVfDMAgcE99RREyXsNLUdECgq1R1gA+NfEBAIbBZDmKcrXXzYm6EM5lO3PE4sWVF24ka9koVdXqsKVd11xKUywTlMtGZTmamUhw2NOOdDnWzQsIwsTEv7bqJKoeogo9HShC5PKg1UJjK4Hj8GC8kR/hW+HZOZIZR/tqzUj8c8NjWczycOsuHIqP0WxFsFX/Da2rapax9sm4EswpmHXQTrghfSfsByvVQQePK4eBNu45DysOPaPyQupQzcVO7mIsjEUf3dVDqsXm4Y5xH46dwNcx4msOFQY4t9ZCacPGPn97oEt9QQalEUCoRbUsSG2+hUk7wQnIr04k03VaODrNAWPnYKiCs9BuWnrKBQVm/cerio3g2v5PKRIJwxiA5rglnPOKHZ9DFEn4uv+kWHJRu/NKBohbYBCiwDEzHRhnq6k/LKYWKRQk6Wyh3mjzUPcH9ifMklEFAwIQbcKQ2SGhFEVl2oVmfUYZqBLLiig91nCVXC1PvS+EohUnjGOk177oxTIxwCNWSpjgUp9SneCR5hrtDK4DBsq84s9hBMBXFKhQ3ZIfnO7FLAccXuklYNUgdpdUM0WnC5el9nYprg2vgO6CTcYJkBD9qUegzKfVdfq96l8vA4BIPdY7xpeQYplLkApdlX3GgOsRzuZ0kRg1SYx5qbhk/s7lSMAQhkz3t8zyYPE+bqYkaF1NsQL1qESo1blUOwhbVzhCVVhNoI+z76HgUNxWm2GtT63UZas3jrD6bXO1T1j5n3TbOVrow3Bs393rvx6MMAytd55Px43QYCjDZbrl0J46zb/ckR7cM8OTiHk7dPdQ4trSiLq0q+SEoDfsQ92hpK5COVLk3fZC+UJaFeoK8F2G5FiVTi1766/Ykj/Ebra/RaRbYadcuDZKWgjp/lbuX5xa3YZWaMU58mVGsEpuLUco6Nyxzverp5NyPJdEDVX5753cZsJf532ce49RSJx2v+0SOTxPkmvfMptXbTfGuPhbvtPh0y2H2OstElYOrfWZ8n1P1Dv7H7/wkqdOK4ddKWOPzBIViYzfATXD2W4gbzYjHqTy6i0Kfxe5HRvn53udoM4uccE3+8OBHaHkhxMCpCtbJCwTvc/6QjeJqn5Wgzmi9j+isInGhhn6HhIxqzwgL96bJ7NN8+bHvsjM8S78F3yoN8H/97SdITEDX6Un8lUzjyt5NTNfr2JPLJOtpvnd6B642SFo1LMPnXKGDhVKcXDFCvehgLdlEZxWhrCYxWSdZ9WnJZVC1OmRy6Fq9cWHBJmOfmmT7/9tPblsbP/2pX2CoI8PP9b/IsL3IHrtK3Ait+7MBGnRAvwU/GDvDnYMTnOrqIbjimFNjKtX4va189oWmSRserUZjuHbxWuyLu2yer6b4TvZ2nnt9Fzu+X8RcKuA36dFwoHE8aM8IlZ44oeECH4mdpMt0gcvjvI/ETzD2SDvfTeyh+69DcJXH65uV2d6Ot72XzLYouU8X2dY5wU+27iesfP5g4TGOZXrIfLuXlnMusddnmnKnww0xOsXg39TQ0RD19nbOx7v4zb59eFGodAf4sYB0b550tNEHa624cLqL2KSJ8hvXxl8UWQrYfqKAUXNR+RLadfGzjQSimy1gA2BkS6TOxsnYDg/FzhIyXL5+1ydIp4aI7veuamFa2Q4qHKJ61xbGP2OTGMrypfbn6TVrRI0Qr9UMvviPv0hkwmbw+3mM8Vn8XHPuVNeFItakgVFP8JH4CfZsn+b3fuPjnJ9upf/bbURmq5jHRq/pqmWrp4vK7h6W94W4958c4e7kBB8Iz2MAz1dbeKm4ndD3k/QdrWA26U1jyZMZ3G+08fRd+/jup06w3Zlnr+Njre567TEd/v2ev2JxR5JXHtjKSj1GyPCwDJ++UIZW83Lf2mYV6TZzpIwaYPFqzeQPpj/H6aVOeCFNdEHTe2ARVnIEK9kN+sTXX7tp8j/d923Gbu9g6lMt5NwwA06FpFVhvpZkqRojbGZJWi77wlkeSJynz8oQVzY17TLhafZXRvidJz9P7ILBwNiN68OvTyJipVdvcGpEneJGiDjQY7o8HB5lwFnmd1YHc4WFyKVVpSAcsHPHNFsTyzyWOsGAvcywVSeubMrapao1hcCgoC/H2duMGoNWI2FdQCOvSS6oM+eHOJzrZ2K5haFakz/yXA+7pDGqiiuH8I7yCRyNHwIsq7HCdK2dxGqyriAVRQ2XuKNvhjtDU9gq4PRSJ8WJFN3zVfylleacQFwsf2uC/IBFtctnyMrQYYbwtaaqfUbdVo5UBkmeNeg4WMAcncF7l0keb2W+VlQDmyC4CVYyxTVRloWKRij2WhQH4dG2s3wosszJusNovRNrJkTriSrO5DLeJltNuRZKgwoUfnB50lzTjZwaZk1jVdYY8Btm42yz0TjjXOuKUdgCseEcX0y9RkIZuFozVusgfRaSo5XG2ejNnMtmlfZ9dLGEEXYw5xO8luwn4rjYps/cUgqddbBzBvGcIjqrSZ0rYS0V8M+NgdY3bGfp+ynI5jCP1WnxhsncFud81eZwyyDViM2AdY6QvtxeTPXm5KoGAbqxE8eELjPgDmf2Df/9DX8XARdzA138/cU6LAR1qlpztLqDA4uDhGctrImFRtLEJp6kKkPhJcNU2k3a4mV6LY+oemNAqsus8Fj6BC+0bYG3ST67WahomEp3mGK/4ke2v849sXF6zTqLgcWRlV4mp9sYPlUnemSKIHPzTIbeSVAoQKEASuGEQoRiUWID3XiJELmRMPWkRb6WJptY3V0WKFpOGLSerGK4wRvyMhrZEsH4FP4mDdK8mXI9nKLGqCu6zSJbnUUqnRq7ZBELhy/vQLtyjnDFswnAiMdQiTilHof2bUvc2znJdsslbkRwtc+cnyJ2zqbljI85tdjU42hdrxMUSxiuJqw8dtqNCxP+IbGHk0d2oVWY1Ey68WLXbew2XOsokzJQZuN0R9CWpDDgUBgO+K2eJxi0ong4LPo1Xi8PcTjbT2LKwzk337SL3GolR/psmEpHnIOlYeraZMCaIKoaOz9tZfJQyIdQhh+KvgKAi0+wxtzSRTdywwITnsfh6ghHpnsJpqMMHarhLJTQY5ME1er7/CmvEw1FN0TOj1LVmqj2sZVJWFl8NDpKLTIKq03IVo3kElUNVW1grsY5ogpazYsLM4pi4HPe7eD10gDJMwbp83X0DUzR8Z6DNrpeJ/UPUT4+9+t8+KFjfLX3CaKGSXT1Zh+Ae0Nz/Oud36TgR1j0kvirwZ2wctkemiNhVOk2a0SVIqpsbGWSUIoEkDA8XH05EeHFnTXFoMaoZ3G23sOfTj3M2GIrLd+J0Tddxzw/1tS5WlSpQmS+ipOJMeomgTxdZoid9gL7Hj3LkZFeUqPdhLXGX1p+58H+xSRjoRBGVwe5u7vIbjP5qd3fZ29kisO1fo6X+zCeamHkSBnr3Ay+5zbdNj8Ac2SI/O0dLO81+eAnX+fOxAV6LUVVe5xzTQ5UdvB7T3yG+IRBz4s5jAuzBE2au6jZzfgJnl7ZhbccuSkGOeLqGLEYevcWiv1Ryp8o8IH+CT4UO4WrA37z/I8wfraLvgMB9qmpq04gv1mZxRrRySiL0SQ13Xi+tJsmw84SlW5FIRemdSLyxp/ZuZVab5Jyl02l3SC3z+Wn7nuevZEpWg2LF6sJ/pdzn2F6vJ2dx/OY00v4N8tOJa0JiiVUvc7Wx2O46SjaUGgFWyo+Rr1x45OqehjlaiOHRO06JIpsItr3oVLBGJ1m69/0UU85fHfnQ3yzS3Pq0/v5WPIYSaOKrXwGrDopw3nnN70G51yPaS/JH059luPn+ohMOKTPBAxMlQky2aZPsArgxSzqcUV7qErKcN4SrGo1Te4OT9EaLzcmWJtcfbCdqY9rOgYW+WzqNQD+4/IHOJQZoPDNHgbHPaInZggy2U2Rb+W605qg7qL8IsbELLZl0T4bb1ykkQwT2JcDd/ZCBrL5xoT8in5F193GQuRN0tcEySj5IQO3q46tAnY58+x8dIwTI92kz3fh+D7adcH3G2kBPA9z9zYq/Qm8mIkbVeSHDGq7Kgx2z/CV4X+k18oQUhbzfoUnS9v49uI+2o57xE4tvusbqd4vOtBQr5Oc9PiZw/+U3R3zfKX3HxjpXuAbP1NgvNTG0RODOCv9JM9BOBsQXqljli5/n/yIjRezKPZYFIcU1f46H9l7lH2JKTpMi0xQ4flqF8/ld/DE4w+SuBDQ9voswfJK034v/UwW0/PorXXzvdyDfGvgIb7+yAVGkkv8YPoIabNx/NjVJqdqvWS8GM8vjbBQjL/lvXL5KCyGLp2KcfKagdE6VqGEdWEBXa3iN2k9XI3QXIHT3xvh9f4B3AdM7ohc4N7QCgnDIW1Y+G/KEWeiiKJXA1wKQxmYq/GLqvZY8n3+sbyDf/f0Z4hMmwy8lMOcW76hu9Xee9Am0LScKmOXIxzYMsBit0UrHmEzuPQg7jIjjbPdlIClNd7FACJX/E5hK3u1gCbBarKfgABfa2raJRsEnHc7Gtnhx7sJTTm0PzuFN36hqQM20Ah0mfkaViXGnJei1SzTbmjaTM0XOg+Ssquc7NxLaD6BUa4Q+H6jw1qDMhSYZuNGj2gErzNJbqtJadjjo4lj9JplHi/cwYl8D62napgvn2jagA1K4bfFyW01cXeWG0kejTDgkAuqjLtdvFYcpOMQtBzLokan8PPNGf3eDLJ+jMlCGrNowDrtS1zhJqkjFQ5R7m7cXvLR4dN8ofUAvWadqobxqXbSxy3i47k3JIC/WamqSyijKRct6qt5NaLKIW2UqScDqi0GOhpG2U5jZ41S1LsS5AcdigOKap/LPbvG+NW2/YSVSUjZzHgtTI+2Ex+zMGeWG4H3TTCRvlrarTduU3jl6JppzvXqr5thV82atEZ7q8cTllcIRaN0LwxS2pLk0AcG6HFytFt5YkadhDFL6IozHOalW3GMt+zCWY+vdWPsszp4HPdaOVvr5sR4L+lDDqkxl9jRGXSpjL9JVkC1CYGtCJvupW38Vwori29W0Y8AACAASURBVA7DJe5s/t1pKEU9bTM8Ms/97RNstavMeBYHVwY5O93JyNEKzpnZxvHJm2A33rsW+OjAx8+sLtJe8fy5MmzX7OP760U7FvWkxo66mGgShs+PdB0ibt3GhfYd2HOJxlFTz8cINEGtRq0rTn7Ipp5UeHHwdxX5lX3Psis0y6PhAqZSuDogF5i8Vhzi3Eo7vXNl9Mw8QbO3PR2A7+Nk6lTPpDjqmYT7PHbaFe7qfpZ5P+D3wh/nZKaLBbOL2oKJGw0Ryl9+StWSjZw4+S2Q2LPMYz3j/Jue7xNWFmCy6Hu8Xh7kwNIQ3a/UCJ+avbqF8w2kazX8Wg2jXKEr005pdxdnBrpZ7IjRG8rSbjUCCK62OJAfYqGS4PRYD9bSW5/e0UVF8kJAaKVOeCKDKlfxZmZB65viyKbKl0ida8WoOby2ewBDBWy1V7CVh0njFqmLz+aLR+FspS5dEOCu7qJ1tU858JnzoxwpDpA+apC84GKMTeHd4ODnez8eFfjYo3Okl+JU2rr43MKvsHv7NF/uf5Zha5nbnHf3V/g6eMOVfiddlxfLI5yq9PDq4iBzK0lCx6I4eRgac3GyZYLlzbGNPyiWMGYXSI2m+OrxT3J71wz/fuCbJAyL+8KTpNvL/MZPDDD70QSR8TacPMRnfJy8Tz1p4kYNzLrGrGuqaYNKp6LWqjGHiyRjFe5vG2UwssKAVaYUGBwt9HF+pY2eqte0KxFWTzd+bxszD8fZ8ulRHmwZI3rFrRyHaml+/emfIDJpMXQsi5qab+SvEe/a6WoPC6c7SF5Qb7hWV1xW1RbzlQS6Yjbl9+ZaXLxRrjbSyYUf9RnqW+BzLYfoNkv8/uKjHMn20brfofPlLGp68dYYHK/kaDsWp56IviG5Za9V4YEHTnNuZzun9rRjFTpxUz5EfFrainQn5rg7lmEovMId0QmiyiYX1Dnhm3xnaR8dr5jEp2qNFdAmu21CXF+6XseYXiBRqJD5416+nu6jnlJ4YahuqZFsuZxo2VhdgHq4d4xf6vgeaSO4Yqv1W+WCOn+4/CDnSh1MFtIUqiFqR9MkLsDgtEdkOoORLTZ22GySFVAdaMIzZdJEOb3UyfGBOt2mT5txeeHO1T7ZIKDq2cQ28XTB6u7C3dLN8m0Wv9b/Mh1WnherXTyV3cvMfxukezLAGZ0iyOXRzZyHSLzvjEKV+FSCTCpMVZu0m/BAeJzWziK/9TPdTGdSUDNRnsIqGhg1hbetwpbuKVpCZdpDJW6LTfNI9Cxh5ZMLNKfdJH+x/ADHVnpY2d9NZF5jzl3Aq9aaf3yjNdpvzDeHv9NLqSfGT4x+Bb+7xn9/79MMO0t8OH2KB5PnOdrRT86NsFiNU/EuBycSlkvUqjMUXWFfdJJhZ4mwsjjnevxZ5iFeXR5k7ul+onOaxPnpRr+6Sb6Xul4nWM4QOwlDj3fhRdP8XfoHuDSs0WBVwPA0Q1kfu/zW+ZNZcjFyZVS1ji4UGruLmr1dXIMgk6X1YJTUuQijMzs52bKLP7rzw8TTZfpTOdrDRX6k/RD7nDkO13oZrXfwQPQ8D4Rcnq+G+Wb2LgLdiOCcznVx9mQf4TmTwVfzmEt5/HfIf3g9XJecNt7cPMzN09kaI5SNcjLo57XWIYjCDnvl0orSm7fAXim4Yl0uWH1tsBrVCggYd1t5NrOD44vdlE+liU8rep9aQOWLePOLEPibZmXvYmQ0NlVm/nSSQ55BuR9alcmgZdNuZvmdvX/LeL2Dv+i/j/mVJLXTUcKLJtVOqKcCzIrCKhtUe3zahjJ8pHuM3+l+jpC6IqqsLbIBTJfSlPJhjFqtaW+V0OkE5YEYhRGP3x36Bm2mxlbOpXYxWu+k7YBJy5mK7LB5B1o3rujz3+Yu+YCAmVqa6IxBdDFY++yvoI5JsR5Cucamf3gpxyFoTVDsc/jxO/fz2dQh7nDqlDW8ML+VhdE2Rk5UCQ6f2Oiivm90oYA9Okdk2xaq2oLV7bGthsWXu59hoSPBwd4tFLwwH06dZJczT6vhveW2IDAp60Y/dT7TRvuJItZ8tnEsapO3G/H2rtx1kxibIGGYWAO9BKkYS/e2UOp5a1Dme3ebfKH1AAElEoZ/aWzk418aL/laUwg035vbzsxsC/a8g51TDP9jAV45CjTGSptl3HOJDjBX8oSBUi7CuNtKWC3SdsXwsLEbwKbmm0Q38fdHpxIUhyKUe30+GTtHWcN/zd3DqwsD9LxUxj4/e9PtxBPXh6rWiCwFFPMGrjYIK4OtNvRay/z+3sdZ8eMsekkKfpjz5Q5ybpgfaj/GI9HzpA2uOHZoUwwCFgM4VevhmfFtuNMxBve7hObLBCuZzXM8Xmu8uXmMuXnSba3EpofIbg/z/NZt0AofiZ2iw/D4YuICIfXO09tGMneDSS/N09M7WB5vYcdTeczZFfz5hU31vdSe1wi0FAqExi8QAmLX+h7c3DvZglIJTp4FpWg7HMJoa2W+OESlM8TJ/gRG0mUwkqHDzHOwNMzhbD+t3SXudS5wotrP05Pb0atBm9JMgp5nILpQQZ0YxXufbsG8LkGbS282uURLJYVZT/I34x/iLxOaX2v1wdSosE80XuPunkkiZmNFKNAGOTdM0Q1xeqqLoHjFdq0r55sanBWTyJwiVNC0zHs42TosZzb1bUHmzDJ9z4TJTif4hfRPc2fbFL/e8X1aDYdd9hLdZh5zMGC+J8XRgV6WqzE6IkVSdpWS51D1LXojeXbHZtjuzGErk7KuM+Npzrrt/OfZhzm30o76Xgs9swHmTPPeSqBNE99WYAUkjIDQ6mSoENSZ8GyOlfoJ5QOsQk1Wrt+GLlewXkzy20uf55994Bm+3HKIsLpycglH6j5Pl3bz5NndDByqEVoobaqH0/tp0m1jcqKd6LS5aVay30IplGXD1n5Gv5DGHarxaOIUCaPO13K7OF7sI/9iJ91nA5yplabtI24E7XkExRLJCzV+/sDPsa93ht8b/Dt6rRBb7TxdZpE2s4irLYasDG2mJqQaAZuLk+uDNXiysI/vL2xn8vUe4hMG1sxEI5+L9FW3Hh2gMzlUtUbb6yapsbcGbYoTCf67134RbYHvvCkocXHso8HwIDEOvYUAp+BhVn2s6eXN/R3VGp3JYdZdwue38gd9H+OL/QcYSU5deslz1XZ+9/wPsnS0k5b6O9+S06wqw2nmHtH0b1vAVooDlX7++KVHiU7YdMzOEFy8RliIN9HFEvHRIuXOJK9UtwBjbLM1Nibb7QxlK0/JWcDVJnsi01QDG1s1blYdtDIYVp15vxGQ+F7hHv6/s/uoz0fpOGAQXvGJnFtCFcv4m3SXtS6VcS4s0VZOMvr17ZxK7+AP+z6Bjnvcs22CHfEFbotO021lCSuXsPI4Ve/hZKWXWmBR8R1Gi22cm+vAWwzTdtigf9nHnF6SHbI3u9UcWuQLtB8u4CUc6ikLLxzimwcf4RvxR7ALYJU1f9AyzO+mNKGMIjqvL67r0VLwiZ/Nve/foesatPGmZ2B6huTpMKlYFBWNopMxgqhDrS1MqTvJc/fvgtBqkCVQGEUTq6wYeN4jMrn+7gkjVyRYXGpEE1cnmJv9K+VNz+BMz9Bz207O9/QwtSXNz7W+QJdpMmhFGARudy40Xtx+dM33MN4Q3TIpBzVGvXaeK+zkyIERYlMG/Y+P4003b8AGAFMR2ArsgIRhrp4xhbLWHK/1Mlpsw8n7qGKFQAIM6woqVXqeL5Aai/LM9u18MXUQ0wjeELQ5Wuvn76buwDwbJfzKMYJyWYI265h3U0QmbWIzGtzNObhBGSjbotIb544fOMOHWs/wQGiZXKD5b3N7OTvdyZaXaoQOj+HfYkm9L65OhSZWiH2/h8Mj25jpi9JvaXrMCJiwza4DdWDtYyyHq4N8Y+wOKifSbPtGAXOliDczt3lWL8X1pXVjJ2g+D/MLa2RsgdTqr3fjZuip/XweiiUSE1uYONXNgeQWfuGKoM0rpRGWDnSRHqWp80m8k3KXzYN3nuKh9ChhZXKs0k/HixbJiSrB/OJNn+hdvHtBvogxPkNsOM6xUh9ps0S/NUPKsOm3Lh8lDPCBRmqIZypRXq8O4iiflLHMuNe4tvpbo7cRfypOfNoj/PThxm7/Dfpc10tQrRJMTMIEdBwEIxxG7x6h1hXltY9v4/hAD+O9beyMz9NqlUiYFZ5avo3X53px6xZu1cKZduh8LSA6V8N45QTard8U/au4CoHfuL3u1WOYXM6qm7iGt9iI79B1DdpcpD0PKlXwfZTrYhYdIsUwdi6K4UYIrMYwRmkwaxqzHhCdyKEy6wdtdKXSGGDfJMlAr6RWcnQeTFOajPDDlV8i1lLho0On2R6Z55Oxk2/ooN/sglfmtNvG+Xonr+aHOZ9rZ3K0A2fFpPOIJrxcQxeafyJW64iSGzFobS9gopjw6ny/vJ1nMzvY/9IuIrMGAxcWL98aINakfR9rPku85jH9nUEeG/6XaEs3Vm9X8ynYGYvIrKJz3EPX67KicAWzo42gt4NqeyP54bybJD6pSUzVN+1OG2uon5UHe8jsVvxoyzlGnAVerbVytNrP2IEB0uMQmllCV6q3bFvQuTxtJ1qwi2H+2fCX2NaxxE/3vESflWHSbSMfRLhQayPrRsm6EcqezbmVdgqLcewli9i0omvGx5zPosvlTbv7U4j3jQ5InylhuFFenL2DbUN7Lv2n8KxN12GP8Hxt0+SUWEv6TInXv7Wbg7Fd/If2TxCesxg8XcRcLjbtbTSiOWjfR1cqxMaLPPnEvXyz9w5+4d7GLYUfDM+TMsJA4xjls9UEZ2vdfGtuH2MLbfS25diZnueFqa24J5NEZ1XjwpiVMsFN+ozXnoe5mCVSrdP1chvVM3GOpHdzKLIbbWm0CU5WEcppIh4or3HDVHysgJEv492k9SJuLjcsaKM9D8oAlzMpKyC1/015NlbPK9/KXxdvbp7Y3y8Rj0TofqabeneCv//CPaQHsmzfM0e/tX7C3bNuC3+9dB+vLfRRPNZKbEqx+7vzqHzx0lnpzVC35S4bb0+JuzunMTA4VW/lzyYeZO54Jzv+11H8hcVL2bzF2wh8vNXVh54j73A7idabLx/CDaY7WsnsTVLrdjFRLNQStJwqYU2vbNptxNUt7Sx8qsbu/jm+kDhOVcMfr3yA781tZ/CJGs7R8UYizFt4t5W/vILxbIb2rk4MbwtjfUn+/DOau9KTHMgMsVSOMT+Xxshb2HmFVVZ0HqrT9+zRRp6w1Rv+PNldI8TV0Rr2HyG5H5Jr3aS1+rzf1E/9/Ufof/mtY17pJcQ7CnyCqo86cY5tcy3UdvXy9cR93NXbw86+b5NazQHl4vOtzJ28NDdE4XgbiTGY74kx0d1J20GTwW+cRldrBOXyTT2G1p6HNzUNQOLkWRJXczvf6hhYxsFis7ghQZu3dRN3Gu/aalZ06nWMbAEHaH2tncpUG/988WeJpNYP2lSyYawlm1BW0XYhILzsQq5AUK5sqlXzxIUa5QMxvn/hdu7espVaLkxkwqZ1UqPLkszzXZE6u2ZB1KbarjATLoZSuIGJUfXQ1dqm2+VntrVCdwfLIw77Bka5Iz1FWcPxeid/dfJujAsR0kuZxg6bTfbZbgjd6GsSExWcYoiTqa0cTWzBzhmYNUjnGmec7YrGrAWEZoqXd3/qQL5vQrxbN/N352b+bOLG8/1G/pa5Avb+Dl5t28WnB4cJhd3GpROBIpiI4WQUrZMB0TmXUNamNmuSGq03nu+ud+u1w1vt84pbwvsftBFr0xpdq+HNzsHcPO1nxxq5KMz1b9y6/KMaVicOOtD4m3C113jhCL37TTAUajVCrv0AdCA5bMT7pt4SojgQ0NOax0RRD0xUsYIulTbdkRfd18nCgy2s3O3ztcG/J2G4LAchvpu7jc6/D5M8V4CJaYL3Kev9ZuDn86iXjhBWBlueWn08XgxoXfH/XweaQAI1QgghbiDteY0cUIUCvecm3jBGvvSaN80BHGN1DB1ogk04HxBCrE2CNs1I60tHFfStcuw58NGrDxeZBomNok2FDmlKNYc/L2zlxEI3Q26+cQ58k03Qa50xMrdpOgYyhJTPKbed/3jhMc5c6GZktoa5Uty0R75uKK1B++iaDHaFEEI0Aa3Rq5chvNNIZJOtLwkhrpIEbYQQYlXgKIi75LJR/u2LnyR6zkEXZzdlMszMrhD/7oe+TreVw1Sa/7p4P+U/7GPHZAl1ahyvUpUbjoQQQgghhGhyErQRQohVTtbDmQihAoVRg/i0btwatQmXrsIrAX88+SgRy8VSPq+dH2THTAVzKY9fq0nARgghhBBCiE1AgjZCCLHK3n+CrccTlxPLuh5+sbjpjkYBpL95HOPFFnwVwgf21Gfxl5bxXE8CNkIIIYQQQmwSErQRQohVQbUK1fVva9tMgkKBoFDY6GIIIYQQQggh3gOlr2EFWSm1CEzcuOI0jSGtdcfVvvgWqheQulmP1Mv6pG7WJvWyPqmbtUm9rE/qZm1SL+uTulmb1Mv6pG7WJvWyvquuG6mX9UndXGPQRgghhBBCCCGEEEK8P4yNLoAQQgghhBBCCCGEeCsJ2gghhBBCCCGEEEI0IQnaCCGEEEIIIYQQQjShpg7aKKXGlVJHlVKHlVKvbnR5moVS6geVUqeVUueUUv9qo8vTLJRSf6KUWlBKHdvosjQTqZf1KaW+opQ6ppQ6rpT61Y0uT7NQSu1c7Xcv/spL/TRI/7s2pdSAUup7SqkTq9+nr2x0mZqJUiqtlHpcKXVKKXVSKfXQRpdpo8mzaX1SN+uTPnhtUi/rk/nk2uS5tD6l1K+tjmWOKaX+QikV3vAyNXMiYqXUOHCv1nppo8vSLJRSJnAG+BgwBRwAvqi1PrGhBWsCSqlHgSLwZ1rrvRtdnmYh9bI2pdRe4C+B+4E68ATwi1rrcxtasCaz2udMAw9orW+VzP1rkv53fUqpHqBHa31IKZUADgKfl7ppUEr9P8BzWuuvKaUcIKq1zm50uTaSPJvWJ3WzNumD1yb18vZkPrk2eS6tTSnVBzwP7NFaV5RSfwV8R2v9nzeyXE2900as6X7gnNZ6VGtdpzHp/NwGl6kpaK2fBVY2uhzNRuplXbuBl7XWZa21BzwD/MgGl6kZPQacv9UDNquk/12H1npWa31o9d8LwEmgb2NL1RyUUingUeA/AWit6zIwlmfT25G6WZf0wWuTehHXRJ5L78gCIkopC4gCMxtcnqYP2mjgKaXUQaXUlze6ME2iD5i84vdTyMBYiHfjGPCIUqpNKRUFPgkMbHCZmtFPAH+x0YVoEtL/XgWl1DBwF/DyxpakaWwBFoE/VUq9ppT6mlIqttGFEmITkj54bVIvb0/mk28lz6V1aK2ngd8HLgCzQE5r/dTGlqr5gzYf1FrfDfwQ8Eur20WFEOI901qfBH4XeIrG0ajDgL+hhWoyq9tlPwv89UaXRWwOSqk48DfAr2qt8xtdniZhAXcDf6S1vgsoAZJzQggh3h8yn3wreS6tQynVQmOn2hagF4gppX56Y0vV5EGb1UgXWusF4G9pbP+71U3zxt0A/at/JoS4Rlrr/6S1vkdr/SiQoXEmXFz2Q8AhrfX8RhekSUj/+zaUUjaNgM3Xtdbf2OjyNJEpYEprfXHn0eM0BstCiGsjffDapF7ehswn1yTPpfV9FBjTWi9qrV3gG8AHNrhMzRu0UUrFVpMZsrpd6+M0jjPc6g4A25VSW1ZXwX8C+PsNLpMQm5JSqnP1n4M08tn8+caWqOl8ETkadSXpf9ehlFI0zsaf1Fr/h40uTzPRWs8Bk0qpnat/9BggCUKFuHbSB69N6mUdMp9cmzyX3tYF4EGlVHR1bPMYjTx9G6ppgzZAF/C8Uup14BXg21rrJza4TBtuNWHqLwNP0mhAf6W1Pr6xpWoOSqm/AF4CdiqlppRSv7DRZWoGUi9v62+UUieAbwK/JEnYLlsd3HyMxgqDQPrfd/Aw8DPAR664Kv6TG12oJvIrwNeVUkeAO4Hf2eDybDh5Nq1P6mZt0gevTerlbcl8cn3yXFrD6u6jx4FDwFEa8ZL/e0MLRZNf+S2EEEIIIYQQQghxq2rmnTZCCCGEEEIIIYQQtywJ2gghhBBCCCGEEEI0IQnaCCGEEEIIIYQQQjQhCdoIIYQQQgghhBBCNCEJ2gghhBBCCCGEEEI0IQnaCCGEEEIIIYQQQjQhCdoIIYQQQgghhBBCNCEJ2gghhBBCCCGEEEI0IQnaCCGEEEIIIYQQQjQhCdoIIYQQQgghhBBCNCEJ2gghhBBCCCGEEEI0IQnaCCGEEEIIIYQQQjQhCdoIIYQQQgghhBBCNCEJ2gghhBBCCCGEEEI0IQnaCCGEEEIIIYQQQjQhCdoIIYQQQgghhBBCNCEJ2gghhBBCCCGEEEI0IQnaCCGEEEIIIYQQQjQhCdoIIYQQQgghhBBCNCHrWl7sqJAOE7tRZWkaVUrUdU1d7etvlXoBKJBZ0lp3XO3rb5W6kTazPmkza5M2sz5pM2uTNrM+aTNrkzazPmkza5M2sz5pM2uTNrO+a2kzUi/rk7q5xqBNmBgPqMeuX6ma1Mv6H6/p9bdKvQB8Vz8+cS2vv1XqRtrM+qTNrE3azPqkzaxN2sz6pM2sTdrM+qTNrE3azPqkzaxN2sz6rqXNSL2sT+pGjkcJIYQQQgghhBBCNCUJ2gghhBBCCCGEEEI0IQnaCCGEEEIIIYQQQjSha8ppI4QQQghx1ZRCWTYYCmWaAGjXAx2gPW+DC3eDGSbKuCI3p2milALjivUypcD30X7QqBPfB63f/7IKIYQQomlJ0EYIIYQQ15daDdLs28nsh1NU2zXGjiLVokPrfofoYkDimbP4yysbXdLrzgiHUY6De8cIlS7n0p9ntpuUt7gYEY9ovAaAUprCYpyWQxbhFU36yDKqUMafX0S79Y36CEIIIYRoIs0ZtFFXfWucrEgJIcSNphSoK3YH6ED6XvH2lIGyLCq9UUr3ldnbN8vXtn6Dl2tt/HLlS9THLZKvRDa6lNfX6vdEhUOoSITCUIjCYON7oxXY92X46u6n2O7McZdjYKAwlcFfFlr4zeALhGdsovMJbNNELS2j3Q3+PEI0mzc/iy7Sweo/b4Hn0pVzpLXq4s3keS3Eu7Ped22DvlMbG7RRCiMaRdkWKhKBkEN1pINqq4UXNvAd8EOK4PJCFYYLZk1juGBXNHbBJ3Z0Bl0s4ueLEPgb93mEEOImYm0Zoj7YSnZrmOzuy38em1T0/e0EQS5PUCzKgFC8hXH7ThbvTZHZq/nSbS+wMzyLqzVZP4ZRMzDqbP52Y5gYkTCqvwevNcbCfTHqKfBiGj+kSW9bYV/r0qWXP5w+z52hKVKGD0QI0KAD7ghN8+P3H+B8sZ2DQ8PY8y1sfdzEnFokWMnKjhtxa1MKa7CfIBVj9kOt5Hf5aCsAS0PdwCwbhBcM2o+5OCt1rFMX0LUaQaWy+fuYiwwTsyWFisco3NlDLWVSGFS4CY2X8CEUvPVn6gZG1SB+waDnuTxGtoQ/ekHmSUKsw0gkUOEwuq+DemuEcpdNpcOg2q6p9bqwGsMJTTkMPlHCWi4SjE2+b8/oDQ7aGKhIGBUKEbQkCeIOS3tDlHs1XspHRTzCsTrJaBWAQCvKNYdcMYSumpg5i/CSTWQmiQGoUgUtnZEQQlwXbk+a5d1hMve7/PYH/g5TaXyt+IPTHyV4LoXheQSlMmjpd8UblYbiLD9c546tU/zLtkMArASQ9aMYdYXhAsEaE43NQimUoVCRMLX+FMU+B/XYCg91TTESXaTVKvKh6Fm22vabftACLAICDAwCNNvsEF/tPMhSW4WnO4f45tIdTL+ynUSxhioUJWgjbm3KwO9IUe6Loj66wrfv+BO6TWgxo4y5RY7WO/k/pz7MhDFMfNqifSYOeaBS2eiSXzfKtlCJOH5HisU7LKq9Hh+58wQfSJ3jw9FzDFvRt/zMtF/mrJvit858nvxMB7FpC3PClHmSEGtR/z977x0t13XdaX7n5nsrp5czMkAQIABSDCIpUpIVLFlqWZZpWZZazqmXPfZqe9rjNDO92j3dy+5pu90ey2Hc7rFkW7IsWTlRIilmEkQicng5VXivctVNZ/4oJAaQBEgCr0B+a3ERb6EK756qe0/47b1/W6BEHGQsQm08RnVIpbouJDFR5MMjh/m93D6Us6rNby3v4nunbiNmqeizC9e5aKOoqNEIIpNi/j2DtHLQ7gmQdkBf/xIbomUSeouY3iKhNUmonYk3QNAITFZ8h2ags+I6zNcSHBvowSqkGPh+L8ZSDTk1R1ivX5OhvRYokQjtO7bQSmm00oLAFGjNTnaR1pIonsQsB+ir7fPvcVMmtQEdEXYykMxVH/PhI139ObwciuMgHJviezZSHROoTVDb4EfAdyT2oiB5ysUou2hzpQsRlyBAui54PkGtfv1EHc6l5p81vlRiMYRp4I330eo1X/DyZkqlNiwQspPBplche6iJttqCE1OEjcbVHsHa41wkfWSAmffnCFVIngwwV3ysfZMEheK1vsLXBW18FL83weKtEeq7mtw0Mss6Y5k5P8WzjVGqdYt+r9kxT32TN7kIra+XsCdFabPGnZuPMu4UeaCV5HBrkM9O7SK/kGDgqRBn0SWsdeH6pKgIXUPNZmhuG6Deq7N8p08kW+G+8X1stBbIqDUiwiWjdtacQEpCQloywLso8m8JhahyYW52FJXNxgJLiQR/uXUzvpUlXWu8ORe/yRsTRUUb7CdMRJl+Z5zGxjY/NnKYjCrRRcfUPKYI1ulFPti3j8/cqzNXTFAZH8ZZlPR9fZawtNrV2aCKZaH05vB7k0y+PUYrFzKyfY6JWJFt0XlUEfL56g4agUlaqxNTm8SUFhGljS50dBHw9v7jfPZDEZZnHIbiO7DyLThwHNluv/wFvAHQ+nqp3zSC4+jehwAAIABJREFUF1VoZhWQ4BRCtEaItdRAqbWR80uE1eq1vtSrgprNEI4PIM9mlUhNwXc0QlOhmdEILopDBLYg1MG3QF6kKPTs9TC/8uTVvfArQJgmim3R2rOeZk5ndYNCOxegZNokYg0GDY+o0SahNSiHLSyhYguDLfY8n70lpJmzGDpow1Vao6+JaCNUFZGI446kMd+3zH3D+/lw/JkXVYpfjppss3+jzXeq2/h8824SZ3QSpXJXixVKPMb8HQbtkTbbxucZiaxwqpJlpWVTKEfwazrmgkFk/sKTUxuC6M4irq+RLzlY0wbj+yPQxZ/DSyIEIhaFdILy+2v84a7P8lR9gslmhj3xSe6wT/L70z/E0QcmcBZ0sqoCYWfRVrwApdxAtFxEs3XdRB3Od2gRotOlJBknjDvkd0Uob3rhGJNjJf7r1s/joTLp5vhucRPH/mUj0TmT1Hzkqk1CaxmhqohohNrGFB/7iW/Rq5f53x/6ANaMyfhMCq5H0UYI2mMZSptMmnsa/M6urzKmF9igN8kHcY7XeggqBnhV8P0LXgJv8iZA2JumvDlBfaPLv+v/Oqf9NPeXt/LduQ3Ib2QYWgiIfuswYbVKN945QlVRHIegP83iLQbNcZfP3PPn3PRi5Ql0ars9AtoypB5KqhftbJOKT/SiV1tC4wYD4Ch/tu0uilGb1P4ozL2eI3qTN1mbCFXFG87QGLDIvG2Bv9rwOYa0JgnFREHBkwEJxSKmhKzXp/jE1ilOej6f27KbL0zeiHcwje4HyGazazvVCdvGG8qwssnm1g8c4J2pZ7nXmSUqdJ5oW0x6Wb66cANzhSTJeIO03SBtNsiaNTY5i9xsn+bHk4/z67c/zqdWd/DXzXcQm4rSc9IheFO0ATpr1vydGl7OZ/vGKfxQ4cixIbRVjdTROHYhIFprvGFEG3JpCjdGz4swoS5opTtlv8b6CjH7gon+xniJrFljqzPPsHFhP/yr0U8y8VWxtsVSIVBME5FMsHC7ibuhyc/f9CA/Ft+PIQQ6gm81+3mwvJmE2qQcSkIlwBSSneYM9+x5lu8lNyA+51y1s8A1EW2UZILSnUNUhxXuyB5l1CjwpdoNNAKT+XaSemAwYpfo0SvcbJ9mt6HypUacv124jbJrU6o7REyXDck8EdVlwFyl5pu4N9eYH7cRcozIdA51rkBYqSLb7a6YsIVuoPZk8UZzhJtq3DEyzZ7EJH1amXE7T9l3WMrGKXsW00MpSuXI+ffmUlXu7j1JO9SY60lyLNvD/EfWE1kcJ3H/9dehQ6gqJON4PVFSsQrD2iqBM8mQUWKdsUxW9Xhb9hiLe2KUyhHKm2zOnRAUX6BX4ug16Hkqi15qwHIR2WwRNlvdkXlzbrKJxfC2DuFFNWr9GoEl8CIQahA4klAHdazK5twLJ5TtyXmGtTIhgpjSggwcvyPH4mIMozqOPd+DcmKGoFK5BgNcGyjJBO0bhimPaYwaBZJqAzXi4TsaqK/AALDLULMZRCzK8jaL1Rs9tvQv4yhtvlLewe/mx5gvJNFP2GRmJJSrb0bq3uQ8iuMgTJPCziT5t/rs3jhJTAk53BrkC4d3oM5YDJ50MQvNTqZjl6JMjLB4T45mn8C6qcQNmTw5tQlcyJhphB4tGfKNxgQnW71MN1OU2hEmS2nqpQvmy1vWzfOZDf+EI4wX+U3XD0I3EIaOGB0kiFs0+yzcqEJgdKK0kaUAe76JWqohZxeQvt8Ve7Y3eX0RqoKbMmjkFNZHKuTUJofcDIt+gql2ltlWirRRp99YJak2GNBWCFG4wZ6lOBjh6+/bg700Rs/eXvRSAzk5230B3WyKhdsd6iMBm6MLBCj86vT7WGjEmV5ME9Z17BkNpwJNK8K0AZMGhLrkS6kAO9fgxv55fm/wy2S1KuqWKmU9Rm/EgXKlO/a7rzFqMoFIpwijFl7GobDRJL0zz0h8hTtTJwkQOJpLsRVheihNWNEZEUNETYMwX7xuxBs1kz5fctfOWHgRBTemUB8QtLc1UZTOoUnVQmJOi4jhsiM9R0K7UHY4aKwQV5rUQ5MZN8M/Lezi1GyO7JFrNapXwFk/XSWVpHDPCI0+gb5rhZt758hpVaZ8h78t3MHe5WEKS3H0JZ2vpHfwxz11DM3HMTwqLZPqQgxnWkM2Wlft0q9NeVRPmqV3uWwcXuIjmSfIKA3+6OQ7yM8nMZY09JrggaEALdvkx7bE2Z09yKdm72L506NYpZDeyRrtXIYnd/TRzkj6dyyyLlHgH275C1pS46P8IrETcXqf1NCnNcLSSldsABTbwl3fy+o6i1+58cv8bGLyfP0cdA7dIRdUy/CiOKWCcv61IZLpoSb/z/CdfGd2I/EjPXCdiTaoKl5fjNqgyXi8xCZdZZNeJpCrqEKgYPMLyRP8dOIoAZLwIrW3KkP2tXt4uLaRL0VuJzZjk96vohTKEASErbW/iAlNR8RihCM9TL3LwuvzeM/2Z9gWmeNe5xjD2gVBQUFBfZGObJ17xjr7U8ht5iSf3HOKR9s2P9v4GeKnEwys1KFaXdtq+etJNsnSHpP6Oo+t5gI6Ial4g0LcQOrqtb661xZFRQ720OyPUnlLk3+35xvElSYRpc2XT91A+rMRJuZaKE89jfR8gjfgZu9NLo0SjyHTCfK3BTzwrv+CJQSO0HhydYzcN0yic230Rw8TtttdPZ9Ubshw80/uY3dsig9GT+AIFV1cEGwCKVkNQ5YCm/9+6m4Kk2msBRWzBP0HGqiPHzj/2oWf20PjNwKc62wqeQ5CdEpMY1EKuzPUBwXujjqbB5YYixQZtkr8xcG3Yj4dI3XSJlquQauFvE4ORm/yKtB16r0a9SHYGF2mXzX4q9ImvjW3mcJsEntOo50JUfsaJKItbsgusDmyyE8l93G7Nc+9P3KEh6sb+HLiNmLTFrlyretEG3cwycC7p7k1e4a7I0c53B5k/5e3kDwZsPFYGaW4RLhaftEAijo8SGsiyzNv28SJ+x5jzMjzu9u/wp8n7kImoigFnbD9BuwslU1T3Zaj0aNS3gDm+gpfvOFv6FXt8+eoX0qeAiDcGjLvt/mByr9lgB6ih+R1I9rQl6MxHKe4Vae60SfaW+XWgSl2xyb5WPzU+RJE6JwXOv9/4VkiRPKPtR72V4eZfWCYTZ8voRTm8NfofSU0HSWZwB3LIX4sz8dHnuF90YMMawqPtGLsbY5z//07Gb7fIze5Qnh6CnWwH3ckS2hYBJZCWkLWDdArzau6Vl2b8qhKncihDKeWRviF5R9H1wPap+NYNUE7E+D2B2R7K4wmSmyx5gFo+jp6XWKUfdRiFcsPSUbitPMKS24fs6keytstonobaQY0+hUK223sgUES+ww4cfpaDPXyUFU8R8N3BBGlMwHvc32KQeRl3ggNaVIJLPq0MvfYLdKKwu7IJKeSWRp6z+t95VefIEBbbWHZGmcqafa7MKC2yanmRZOLgimUjrh10TyjSJ8xvUTDmeILN95IfsCmlUphlZJkHrMQZ6aRQbC2FzJFIEwDP27CeINt/cvcEjvNmF6gTwX7CiK3CgJTaAxrFXKbCyxFUuSeSaKVVghr9a4QPl9rpKHRTkmMRBtLBHhSoeVpKK4CwRq+Py6Tc/5Q+d1Jyhtgy/AsY3qeR+sb2F8exJuMEplrouWrBK67tp+N1xrl7MblXIvHcwLoJVqtKoaOiDgIx8EdzRJYKm5CAwFGJUBtBuhHZwny+as0gNcXoWkITaOxc4SVDTp9o0skFJUpX3C43c+hxX4G5lyM5Tqh73ftvaOmUtCToTagsiWywDpjCR1BSwbsdS0W/QTfWrmBfCtKoRmh3jZoHEyRnANrJcSoBOjLVYKLDAtFILmepU+haSixGI3b1tPIaRR2h2i5FntGptkRn2XIKJFRa+wZmeYJOUqz1yY2sIHIUkD8YAFRb+LPL6zte0ZRCW/fTm3YevnXnnuLLzFXfBRfotU98F+iUFAVIARuyqSZubBlV71O91S95qOfWkA2mteXRx+A5xGd90Fq/N0Tt/LdkQ3MT2axFjUSRXDyIe0lQXsxStWO8kAyzaP9YwztKNGnrdKnltnmzPFP61qEpknmqRhiUVv7+7uLEaCrAa1Q5/HGevZVh4ksSCKzLZRSFVmtXbKaQFZrmIsWsek0f3TmB9iQyHNf9jHWxwsc3radaMRAefZ01wlZrxa/N0Fxq0arJyS5vsTO3DwxRX2OSHHxnyKKi58MqPeqRE6/8ud8TSIE6ub1eNkoyzfa1EYk4WCT9f0FJmIFdsem2GgsYgsD9ewepy09TnptqlLntNtDPTQ5087RDHQqvk3dN3h6dhgvb9N7IkRZqSAba9wEXFGQusJAtMwmc4EZP8EJT+e/Tr2DM/NZ0ifAnK91Msp9H1mpoS+boKmEhoaQEsIQ0Wh39jVXiWsi2vizcwz9aanjS6JroBsE4wqtHpvaz63ye5u/zAa9wLCmnH2IVOqugbMSYBaaBLPzyGlJ9LBKVBFkNQ0lnWLmnetp9gi0GxtkBlZpb9YouTqql8XuBtFG02inVNoJcJQ2DenyV4V7OFTqf9m3Vlsm5bLD+ECBmzf9PSnV4YejBSrhs3zOGngRbbS7kUGAcmYOpxRncnKAf+h5C+9N7iep1NHFBVX4xbCExnpNMqEtcO/tf8ZqCJ9ZvZlnVocpNMeILxUIm6013bFDqCrSsaj3Gfz2TZ/jA9EZLKE9L3vmyhjXLL62/W95fGOK337yJ+kp5BBB+IaMfAZRE0aabOpbxhGSQqjQqJloVYEIrpPNsaKiZNIEPQn4UJF/vuF/EFMCHCH4D6c3kv/uAIOHfJQnDhN002b31XLW2FsxdFBVpOshg6BTmnnOO0pRLog4Z1FiUYLBLI3hCLPvFGiZJneMHSeiunxnciOtos2Gvx1AXCeijeI4iIjD9LtUfurt3+Hu6BGiwuSRxjB/dvwueCaO/sR+gm4pPb0EcqSPpduSlLd7vDNyhJwaAoIpX+dTi2/j2Xwf2hdSxOY8oittYm0PsXQKWa4gpYRQdp6fNwpCIGwbOdjL7Mc8bh8/xs/1fo+tegtTaGczYjsZwneNfoP2iE8+lMz4cf796fex/A8DxGZ9zEJxTZdhKobO8Y8a/MrdXwdA5eXnx8lWhq+c2ka7amIsRlFbl96hhbok1EDdUONnttyPLjr30LFGH9+bWU9jLsr4Pw9hLlZRTk93RabwKyVstTC/ewBLVcl9NYowDBLNU8i222koEQQX5mFV7YjHt63nj37h7ezqmeN3+r/BkHaa6p7v8MDEBooPjWNN2dCFHjeFdpQHFtaztJRg8zOryGdP4L/MehwUS1BapSecoOD1c/+OPv7th77JBzNP8+13bMWeijG+kHrDiTarG2zWvfs0t6bO8LOpvThCx1HsS77eFArJ/grlDSlSJ5yXOF2sfYRhsHBPjtXtPh+65TF+s+chdAS66MzGulBREOcFG4B80OafKns408jy/akJ3KqBc9pAr4FVCtEbknVHV5AzZ5Cui7/WA3uKAE3Ft1R2JWe41crzfy3fyZOFUVqf7mPLQwvIlTJBuXLeszFYWemUE57l/Ojk1c1UuzblUVISNhoI3UDpzRHGHVY3R2n0Cran86zTi+RUiS0MarJNNWxTa5okql5H1To7UZ0zkJXtNigKsdk+FE+nsVXB0nyGYqsoQnKybyOx0eHOl7CW/Tl8H6vo00oaNEKTRhjw4Mw6mpOxl3+vAuiSSssiOHs76ULFED7XnWIDne/fdaHZJHpa45+dnTw73M+e9DQ32LNsNRewRIAlJAod1VwXgpjSyUBRhUBHxxQ6jvDY4UwTIvhSboL4YC/KYoFgZe2KNp0DpQABcbVFVLywO9SVoiCIKxZ9aoVGn6CxPkXkjWTCBp0Dh6bjRTSyqRXGIkVCoBg6iGUTZ0kgmmv3IHE5nDN7rA/ZjCZOMqTBIdfhlNvD1FyGvqkQK38FIqaiIlQVtTeHjDmIagNZqRK222v6EAadDAF1aAAZsamPJ/AiCno9RHVDQl10/lMFoXYu6+bCe31T0E4J2mlJz3ieodgqb4mfRhcBz8QGWWjqSP3Fkoy7ECGgL4fbE0P0tNnlTBIRHsuBx5OVcRrHk6TmJNL1ulqwARBegF4H0VQphjbVMODZ9iCHGwM8fHQ9+pLO0IyLuVhHqdah7RKWK4Stq1fvviZQVBTLRJgm5NI0B6MMZQu8JXGGUa1BSo3SCF1a0ufxVpxj7QESap2k2iCj1pjQyuxKz/DFzf34js7AqUGo1AjyxTV7DykthclWlu3OLBvMxZd9fa++ysxAinwzynw0Qdu7dH2cqoYoashNA7PssidRROcQkVDrVPpNDqoDlLakiaQ04ksF6ML7TWgaSjLR+cH1kL5P2Gye3+dJQJwVzKXrPidT5vxx6azIbi01mDuS4YGazQczT9OnVhg2imyOxfnGwAasdcMok3MEq+VrMdTLRoSSSttCEZLCahRlRUc03VcW3ZcSZIBouRjVELXdOYgnlQaRbINmLQb6tTkGXk2UWAzh2IQjvdSHHEo3SH4wOc1We46UYj9HoLjkv6GESFUiX8RqYC1zfi9jm/gpBzemU50IifdX2erM06NeqOQ47tV5stVPK9RphCYtqdEITKabaR6anMCrGZhzBtE6ROZCjHqIseqjNjwornbXGeHs+UkXAQrQDA2ano5ZD5GlFcJ684XrzRpYf67p06okYsy/d4DasGT3W49xb/oob3NOMK5Z5+vmzngK+9qjtBYiGJOzyEu07gtrNcwHD2H39ZC/tR99MODjfY+w01zm7pt/Fa05RGZ/DPYdvtrDfMUEq6tYDxyit7ieqXaWJXMG54txRr5y/GXf624fZfZtFuWM1ZUdOa6EsNWCdpvhv3gWYdvUdw7ztZER/m6Pz3t2HqTXqDBqFrCEh6V45NQKOwz3OSmQAKbQucfOs0lf5m+334HiZul5TIGVlWs0srVBWvWwbiky3ZNkQzELc/PX+pKuGoppIhJxGj0aPz7yFDvsKTwJB1vD9DwByQN5wvz10TlKidjM3hmhvsnlJzJHsITGny68nUePrqP3uxrJLx7sZJlc5r+rRiMIx6Z01zDldQqJkyGJEzXUpVX8mdnXZSyvFUosRv5tg9SGBff+0NN8JPM4Xy/fyGQjw5hTpN8o06uv0qeVUQmfE11XRIhBiC5C0kqAKgSOUCmFPl+L3EDRihCqRldH684hNJ3SLTlWNgvuWX+Au6wqxz14qDXI/fu3sOX/LSBWKvhrOGvxFbNcJH1ApZVJ8Wh9A1OtDF97ZjvWrM6WzxU6ZvZny0j9s50K18Im72qjWCZioJcwFaW0NUptSPAbI4/wkegspuh0CF0IXOaCKL/yzH0oe2O0MyFh1uP2jaf4k+Gv8ovZB7n7A0f5y/m7mGuNE5vLYH+vviYzAmQQkjgu+KKzC/2WgI/FZ172PYGR597Rf8GTEo+XrrRVz54RnYuCTgC7jFneG5niWK/Nf06+h4MzA8QPZ7rSv1BJJnC3jyKFwCg1EY02yvRcZ493Tpxpt196DTonUDx7io1/kqV+Yz9/3PMO7syd5COJpxnWSvzd7W+h2ZNk+MshdIto44YsrsTIq1G0Ew72MojLNT51PYxqgNpUCaRgQG3wQ+MH+Ya+mTDa5eU+r4TxQRrDMaY/EvDpO/87abXFgNoph1KF/vLv72KURJyldwxSHxCoO8uMpZf5idQU660lbramgQuizZ8X7uQLD96C1hDoFYHWBHNFYlYCNhxY6pQ8+X4ny83rlDrLIOhkkfretRvkq0ARISqCZqDT9lUijfBshs3azBS6uqKNEJ0WuqaJ0pvD60tQHQtRhxvcmjzNbmuSllQ57rksBlGKQZR99VGOVnsxC2qnbZ97iRtDSsJWC1Gro5UVFspxQhSyikEyW6M2kiY+bbGm/f7OjkFtuCy5cab9FGYlJHgFrcSEP4KbDMlEWyhAOWzyaCvJ/SubUdr+ZR+4ugYpOxGT1TJ2JgnEaGV0vh3dRMRpk43WUUWIpfqMRYtY6UdIK216VQPlIsHcEQYxpQlap+OSVNe4mi4lBAGKJ5l0s8yZi/SqJtrL3OEhEk8Gz2lBawnoUZ0XvFYBHMNjxQqR6vWRGSB0A6FrnS4mCRu13ETUmshy5TlZeMK2kX0Z2kmFAX2FiHA56mU5Uu/HXPURq1XCS81FXYQwTUQ0Sisr6e1bpU/vbGQXGnH0vI614l/ZQUkIME1wbOr9Cs2JNuaKSWxaQ9XW9CzcQel0tQksyXpnie16g1L0NFm9Rq9eJqPWSCoNYopLWgnIXmRgCCptKWnIkNO+SSM0WfQTzHspDi304y5E0BqNazq8V40QqLEYIhalNqjgjzbZGFnEFBrFUOdAYwRtVYN8iXCt17a/UlwPpdLAXEly//ImlmtRnEkdZ0HCUuGyOjQqloWIRvAd8YIZO5CSltTwGxp2XYDfXcKPsC28/iStrEF1TNDq9xnWiziKQSN0aYQen6/u4OnyKP6pKNnJkFZVoVUxecIc5f9LbGFAX2GzscSm2BLHBycQgYZjGLAGRRtkiFMIac1o7NswxP7UExiEmOLS35shQhKKwFFUHGG8qLnny6EJFVNIYoqLofoIpQt3eWfPBCTjrGwwESGkvBAtDDslT1dA2G5DvoBRyjBfiXMmkoUEpBWXbF+FYjtFEDO7Zj+j1tuEMylCIYkvSOyS7JSHXQ6ikxkqFVCFxENQ9CI02wYi6P59zEsiBG42QmVEY6C3yK2WyjmhohG6zAY1LCHIqpf2DvVkSLkSwV5W0OqXH8C6FgjdQB3oxe9NUpkAf6DNW/tn2B6bY4O5RE6tMO/HmPEFM16GeTfFV09vIzqpoDUlZjlEa4eYKx5auU0wv7jmM6SvlHPVKVKKTureGhVs4CqLNkLTUdJJwuEeTv6rGN6gy2/c8iVutU8zoPkowP9dvJWnSiMcOzaIM62h10CvS4ZONAlWyufryy6FbLbo2RtSzSd4dHw973Ge5Jc3fo9Hetezt3QjPd+9KkN9dbgej86Psera6PVXtmGrDZvcd9cj7I5MElMMvtFI8Gv/8nGiUwqDi5N0V/XulSFPnMGeMhjbF0FGbKRjEsQyBALqquDBrROc/NEcO5Oz/FL6UbLqc2tYQwBfoLodg8i1jHRdxGoFO5/i05M3M9ef4hczDzGivVB8OUdb+rSlz2IAM36CGS/D/vowE3aen04cvSLz4q5CUVF7soSZOEd+KcY7dh7m2/u3Ej2Zo/fJFup3955/qRzuZf7eFJWtHjvNeYqhyX8+/W6mpnJsmSkT5AtdVxP/fIRuoAwP4A4mGdqxwP868TVuMIp4UmNqIUPPQYk9V7+yzD2hQDaJ2xNFvnWVz+38Gz7c/mXSh1W0bkjHDiVqC7S64Hijj2P2KRzRZpM1z4yb4WSrlyU3TqEd4c7UST4WP4IpNEyh0ZQuM37I3vYI//Hwu6iVHCLHDcwVyfDhJnqxCHNLXW1AKwwDb8c66oMmuXfM8QfrPs+o1iTE5puV7Xz+yE5ik3S6mlwnPi5BtYpotsg+ZbFkDWOXJQOPzSKrtc7e5DIQo0OUb8xQGw/QL0q3D6SkJj0mvX4iJwxSJwJEpfZaD+X1pSfD7L02rUGPf/2Wh7jJmWSPWcOTBkc8OOqO8Dd/9y6Gvltj43LHOwBNQ2gq7ro+/sfm91LcE/AP7/pTbo2e4tQ9WZ45OUrvt6OwurrmNtTS94k/dIb4/igz7jCfuOUnSUYb9DqX/t4yZp13pQ/Sp5XZYTSvqLw5RFIL20x6WZ4+M4I2ZSGa3ZVlIwwDJRalemMPO3/yIAvNOKW/HCE+KdG0K1wnpCRst9FKdVrHcjzUWsfP9FjcYHj84dZ/ZO/4GJ994N1EH31Nh/K6IY+dYdMfd+4l2exkOgSXOSdI26SVVvGjITqS036Cbz67FWvSRNRePjOsqxEKy3tMUm9f4KPDTzznr457ks+svpVxM88nE5OYl8i6aUhJ7FGbgc+d6qxpV+O6XyXqQC+THx2mMeLza3d9lbsjx8gpPpZQ0M+Wg9138gc5fGiE9H6F3BOrjNdrUF2CIIAgPO8bRRBct4JNKDufRSAFUgrEGv9yr65oY5mQTdHsc/BHWqwbKHCrfZothsK8L8mHJo8Xxzg100NkUiNxJkRrhmiNAL1Qe2UtZoMAq+Dhm4KZRopS0CanVdgem+VJ68bXf5BXiDi7QEnfR3g+qws59nkaQ/WXPhgK3UCJ2LTjgp2RKYb1IktBmyOtQSIzCrGZANmFNc5XgjzrlXGurlKxLLRYDGEaSMfCGDLxwxdGbxTE+VbqittRmfHW9oFchhJcD63mkp9P8n1lgu3ODJvNhUu+ZzWIUA1tZrw0xxt9eKFKO1RpGK+dH85aRigCGXXwUzap/gr3ZR/jqd5h6oUUvq0+J+IdREyaOYmdauIIyEuFQi2CUlURLbfrBRsAoSoE6SjNnMFErMSEXmLWtzkUOoiigV0MEI3LXKiF6BjT2hat4QS1fp3R1CKb9BD0EBHKNXfoelGCoFOvXVZ5cmkEW+lENgMUZhtJiq0Iqw2bWr3jNXCzfZqc2mRM06iGPgfdQR6vTlCfjmMXFJKnAswVH2My3/E5qXdxpo0QCMOg0W9SHVHYk5rnRiMgRKMhXU7Vssg5G2tFdleXlpdDSqTnIlarxGbiGGWPYGHpsjazimUhbBt3IE5lTEXL1FERhIR4MmA19Nnb7uHRynqsosQseUiviyLhQhBGTFp9Pun+Mm+NHmOTXkZFoxa2eay5ib2VUWIzIerRKYJ68zleWYamkdR7qA9ZTHpZPKmxLlrgSKwPVLUjBsu1JwKGq2VEo0l0rof8ZJTFmE0+Fr/k6w3Tox1q9JoVJiPTJNUL84ElPFQRMqGVGdDM82bNL/idhHhISkEUuWJgrHZfVpbiOMihXupZRpVyAAAgAElEQVQ9CjtjM5hqPytypNP44NXMG1Ii2i5WQVCPWMz5KSb0Bca0Gp41w993UUWMbLevuJxYaBrCMAiTERp9CkHCpSo1ZrwM2pKBlQeug4zhF0UI1J4cxKM0+kJ+IDvFhLEMdLohVUOXA+1Rvju/gYV0nB+Ln3yBaOPJgCOex97WBHYhxF9cuhYjuSyEpqEk4vi9SRojPrmRFe50jnOjYXWy7GXAEQ9m/DRH53uJTKokT7QI9x+51pd+TYlrbRzTJdQjnY6hV9lg+JVy9UQbIRD9Pcy8J0N9NOB/2/M1brYnmdCgGrr8+tS/4tB8P6mvRNj0zApKLY88ZwQUBMjWK9sYhe02xr5TZKaSPPqOCf40chv9xipptUa4RgO8wjQ7k4vvE+QLBIvLbPljG2loiNOnXzIiq0yMUL4xw+q2kFutOWZ8h9+eey+PnJlg/QNllJnFy44CXi+E7TbC91HGRyjvzFHaJvj9kW+zSS+SVjtCxbnNkIIgkODMK6QOFCG/xiNWYUBQq6OenGHjX4zQzqT5j3s+gpu4dF6E1hBoDYGVl8RnPBZvNvjgh7/PhLn8kt22rheEYVDdlqEyqnJr31F2GBWSTpOalnpBOVyrx6Rn1xJvyU0SUzRaUqdRsTArSicKcR0gEnHm3xajNu7z06mjxITkg3s/gTwQZ/SRNtbTpzuRvctAMU3ad2yh1q/jfWiFHxl/hglzmcfbEdSSjl5YQVTXYInD8whqdWIPniRuWQSPJTl4keAvghDTD+kNJH1Bi2N3bebn3tHLnYOn+U/9D/FQa5DffOhHsGYMNn65glqsImsN8NzOITUIutfrRAiUaBTRm2Xx/W0+tG0f96UeRxWCKS9kxk/wzJPr2fQXy1CuEqzBTc+rJVgu4DzeAs8ncC+vTEHesJ7S1hjLtwb8yt1fZas5h6PoNEKPKV/ly9U9/M9/uYfILPQ9sAT54mVH1a8VQjdQohGqIxE+/JYnuDN2jF1GFV1onPbhqNvPf/nK+0gdgdzThc64npc5HeYLGK026dw6/v3h99Ifq3JzZgrL8JBax9hcrsFnR7ou0vNJfec0qadioKlI7dJrqtRV5jPrmdUFj0VuITwXMRDQTgh8R9D73hn+cN1n6VNdMi/S2caTAflAYV99hJ4nBPEzDcLyGm608SJ4N4xx8sd1Ij0VFtwE+4sDxE/WUU/MErxKYTtcXGbk8wqNjTn+6oa3Uuzbx25r8rW58C5B7e+jva6Hhdss3veRR0hrdb5R28YXZncw9rUWxmSBoLDG97pXiGKazHxiPe1dNT6+5UE+mXqChKICNs+0Fb5WvYX/+cytrP9zn3233cDSr3yNxPMe2Wm/yQe+/mvEj2kMHih0RXasOjTA0jsGqUzAr931Ve50jrNRFwQy5LjncsrL8L986eP0PAUTZ5ro8zMde4BrfeHXEEfofDj9JJucRf5m4L1Ee7KElSrhGixjvzoyhqKi2BZBOkJjKCQyVOV2+zTrdZOVsMWMr3N0uRc5HSFxskF46OiVm+me9ThRghBlpZ/DlT6cpEvGrK3ZLkrCMAhTUQBU0+h0nZhZAM8jeJkoXpByqI6oqJkGMaFQDW32LQ3CnI26uIj/CvxwrmdkKJGmQTMj8JIBm/QiQ1pnA3Rx9KoStlgKbLQaHb+SbkgFDAOCSg31+DSRRJxkYpB2/NI3udYEvRFgFT2MuVWMzX2k9E7XDvUSjvhtX0N4CoRdfPgSomMsHIvSyCk0eyXD1grO2aiKCDsdGoDOXGXouFGF7aklNthLBEgqoQV1Da1BJ220yxGahrAtmjlJtK/WMdQVgtZihL5jIdZMudPi8LL+0bMZGD0a9UHBe4eP8bOpvRzzbOb8FIoHou0iu+HzC4MLXmKzcy9YOs49DVIIIhtuYbFhUnAjeATMuhnMWYPotEQ5NYd/HRmaC1VFiUYIUlFG+kp8MPk0A6pLIA1O+2meaYxhLykEx09d60t93ZCee1n+NRfjJUxqg4LkYIUfjR3CUVQUDDwkxdDhTCNL4iTEpt2OT85a7nb5PISqICwTzxHsjkyy01xGESoNGbCvNcpTtXFik4LUsQYUVl9UuJS+D60WWjOk1dJp2jqO4mLqPtIxO/vItSh6njXBDZaWYWn55V+vqFipBELXwbGRmtrxAVMVmiMJWmmVYt2hJVVc+dysznO+dKuhzymvh8laBmfZR1uuEF6miHjNONudsZ3WGR7P0+NUKXoRVus2iVqbsFZ/1d9x2GohZ+axHIt8PcqyF6dlrtHI7WvFOY+gs+3Pg2yC2pBBcyDgBxP7yPtx/im/m4XlJFtmSgRzC9dF1vBzEAI1EUckE9TGfH5w3THuiR1mRItSC1ss+DUOtDfy/fw6jGkD9ZlniY7spCVf6LVXlxrOlEb6sItY6Y65WOoa7ZTAS/vc7pxgp9kJUHeybDpnRGdRIfnsCmJu+Q1/RoRON+FhrYJrzuPbAkyjk9m5BrkqM5g22E919wDFrRo/de932OOcZlhTmPWb/PzJ+zi1mCP1HYv4pIs+ufTa+K94HokTgv3KOpTdkomeV7CQXiNEfw/T70nT6gkZ3dGg5Ts0vzhOfMrHeXqqsxG4BMu7o9z3ie8wZBQ55pn8t9l7SX8qyuDcKkHp+jksXAlKNIqSTFDZmGBlt8fYaB7rotNXiERBsBI2+f3Fe3m6MERsziesVDvtxLuBMCCs1RGtNqnvhy/ZvjFIR/ESFoXtFuVPpNg0OsUHYgdIK6DxwkheNVQonUiTPizQCtWuVeKVaJTmXZupDWgYH1zmXw8e4t7oYUqhy8xymuRJMPOdEkJtbJj65hyl7YL7so8RU1rsd22+VLqJnkcE8cnui2Y+H8VxYGKE2lic0Zvm+NDAMwxrq+QDhci0SnLvIlxuZ6yzxrT05Vh6a8iWTdO8O3EAR+hUQ5tZN4PaFp2097V24LpChGmimCaVUZVf3vE9BvQVjnka385vZvDBNuZ8pXP4uI5QYjEK7xynOiL4aO+TbNKblEOY9+DfPPxR0g+ZDB7oorafV5nVdQbW7QXeNXSUmKKd72RYDATfr23iqcVh+g9VUSYXCLrs3hGxGN54L41ehTG9gAL8c22Uh8sbePwfdxCfDOg/uATFFcJLZA+p2Qz+SA/5GzX+j5u+RE6rYAmPxZ44D9+yh3hfBPux413TrvmShAFhudIxgk/EkLZBEDHwIxpT71dYt3mOXxh8lE26j/U8v5uloMkhN8O3ytv4/FO7sad1xo/PEi4XumbfovX14o33Utyq8VtjDzLrpvnrw7cRnokgqjPI16gTjfQ9lCDAD1RaoU5wvWYUK50sNDWTQsYitIdT1Ad0CjfB3Xcc4l6zwqSb5dPzbyH/9yMMzweE+eL1J9gAaiLO9M9vo76pzcd3Pcx9iSfpUwEc/ri0g8+c2o13MMHgAy4Ti6WXDIw3Qp34VIi9b7pr5hxRa5A4HRDqGtXQ4qxbJ7pQWa97xJQpaptdFuspeh9T4E3RBgWFXlXDlWVCoyN8iTXa2v2qiDbSsaj1qTQHAj6c2Ms6zSZEpxwKTsz2YExaJE81MU7nX7MDkZQSc1Vi5hXKro0iQqToRJjXWp29tHRaWYkxWuO/rf97qlLno+v+DSLUcE7GEKXVziJ28TWfnaRbOfj1zCGWgjaPtQY5U0wz+uQkQT5/7Qa0RhCmQZiI0kwpZPtW2JhYRhcd/wDoPKghkoaUHCgNsDibZl3ZR7baXWWeKX0f6fuEs3PP/QshQCidjm2qgmLokLRo5SQ/sO0wt8TOMKoZL9pxqi19yqGJWVKILPqX32JyrSAEwrKoDmrURuEnBp/l48mn8SSUQ5WgqmOXQtS6SwCEMZvagIaX9dikl2lLeKzVx2QtTWy2jT5bJHiFpZprFaFpuDmHRo/KXalZ7rBPApAPIugViVzMX3ZZlFBVRCKOl4mSGijznp5nGdPK6MJmNXCYaydRXCAMuztr6yKEpiEcGy8O90aO4kmFOT/JYjVG3/RK53Ps0jaYl0KYBrVBQXPEY725REwxmPVDZvw0xqRFz6NFKKw8V+C9eB7Stc7P8Jx2oS9Y364zhKZ1nruk4PbeGTbb8+hCPV+W2pYq0800taqFmi90ZfRTGDpu0sCLQOysB9SR5gAHi/30PN3C2H+GsFp96YOiZeIlTdyk5G57BkdRKQUBw1aJZq9AbWvY+nVgmH/RMxFGTYKogRvTcWMK2bEiPzP8ILvNOaLihY0FyqHK/uYIe0vDRE/qROdCZGl1TabyXxLbop0xcVOSXeYMnlRxVywiqwK813AukBJCSSgF3sWZFILOd9Ctc46iIpTOPYTSySTG0AmzKfykRXXYoDYsiK0v8Zv932AxiLC/Ocp8JU7vkRb6UgUZBGvyPPSqUFSEbVPf4PKDNxzih+LPsMVwCGRIW3rsqwzROpEg96xEu3/vy5bvuqgYlfAlA+drDem6WEUPvarSkjqBbKKeNR6OKhbQIpWtUhtM087aWLEYeF7nHBHKtZfFeBVQENjCIKY0OjYquga2hXKRCC7PziWdH8LOZ3UNfG+ujmhjG7TTAmIeOpKmdNnvGnyzuovUIybpo02Mk0uEK6uEr8OBKGfV2G3O0Rjz8O7agTmzQnDi9Gv+e64UsVRi8ME4xUKc+Zti7DKq/Ny7v8XTt41yILeZxKkc6ccX8U9PXnjPTZtZ3RLD29hAQeGL1W380UPvIn5MQ7amr91g1gJnN0Te5mEW3urQ2Nzm/9zwHcb0PJa4sHCfE29Kgc7c4V7SRwTGwgpBlx8gzrW1VnpzhDGbyqYE9X6VxoDE63XZPnGGT2a/T05tovHCTeFy0OBPirfzeHGM9JGAyJE8YZdEGS5GsSzE6BCt4QSNd9Z46/AZ3hM7QExR+dTqDTy+Mk7ykEb86U5NL0BzKEpxT8D68SViisqhVpL/dOQHqJ1OsGlu6Wx0qssP4r1ZJt9roo3WeGfiWWKKx+/Mvp/9iwPkpn1ks3nZoqXa18uJXxgmHGvyGxse4m3OCWKKoBy2+A9H3o3/VIrevW7n87tOjA/FyAD1iSStQY8BNeCRVppPzd3N6mSSvsqZjvDVxfPIc1BU1FSCYDCL3F3hA+NH2W7O40nBXxfv5OGFcRKnJMwtEjafK/Cq2Sz++gHqgxbLuxVCQyJVUFqC+GmwVkKS35/CX1i8RoN7nREC996dFLcYuLtr7I5Nsc547iHgqNvH/c9uxjllILtUIA96Uizv0nE3NokpAbO+zeeP7ERM2aSXCoS1+svPK0IgFYG5Ivit+fewIzbDx+LPcrN9hk/vKVHIJcg+HIVuDkopKmomTe32ceq9KpW3NenPrJK2GkT1Nh/OPcUuc5G08tzteU22KQQBfzD/PvZ/fivOsmTowCpKpUHQTYINZ4Mj/Sp+oiPgTbWzxE5oxKZfv8YZKiEGAaoIaccVtMEBwtJK94hdF5n8B+sH8SI67aSGbwvK6xTamQB7sMZwKs9mu0q/VeGWyGkGVJVq6FIObGJWm8KOFFrdQm/k0Osh0YMLyHInK7SbM2+EaSI2jVMfirF9/QyfzD7EhOYDBg+3FfY3x3n6iQ2s++cG+uIq/vWyNj+PsFLDPDpHIjrK4/V1jGpPMaHr502WTaHzu1u+wqGxIb65ewvHf2I99iGb7H4PZ7pC8OyxazyCq4siLpTrW0LQGPEp3JLFt7MEZifAJCRoDYlZkahuiFYL0Gse2kwB2Wp1fGOvktj1+os2QhAaKl5UYtgeqoCGDDjh9nGk2kfilIt+YJLg5SIwr4KY3mJIM7EzTaojMbRGFE68Lr/qipDVGpEjeTynl2IQJaq4/FrqBHPx/bx96wirqkPiZAzOXIgMtPocVjYLhnMrKAiONPo7B9ApvxOpeAMjztbzNnpM6utdto3N877ILJbQ4HlZJS3psxpGsBcVEpMuolzt7oOWEAjLRJgGQSZGO2OxukGlsc6lt3+VPbkZ7koc5WZTwIsINgBVKXgkP8HUbJYNcy3k/NLrIqa+3gjDwMtFqQ8YvHP8AJ/IPMx6PUBH5WB1kIPzA/TMB/hTZ1teCkE7oZIeLLEtuYCOyrIfozoXJzKvwGqlezZ4L4F0TCIbVrln+ASb9CK6gP2LA7gn4pilK9i4CYGMR8jctMyPjjzNuyPHGVQdKmGLUhhSm0ow8rSHfapIUO+uko+XIkh0srLMRI2YYrAaOJzKZzGLKjRbXb0Bfj5CVRGOg5ew2Nl/mh9JPUGvGuJJwcGVAVamU4wu+y9MIRcCElHqQxbldSoTb5kia9WJaG2WmnEOWuNYSyqJfS8+F3U9Sie7qDymU7nRZffAPOuMJdJKC7jQqWTRT2DO6dhLErr0vgmiBs0hn4FsGR1YDR3kvEV0ViCqjed0iXo5tAY8vTgEwCcTRxjVKtw2MMkD/rqO30C3ctZzREQdyhMatZGQ37zpm7w7cpysYmCKc1vyFz4PjTAgH9jsXxpg8Ltl1EIFf2aesAsj49LQcOMCYXeufcV3sJclznLH0Pn1QhEhChDYIOMRRL0B3bCmn/UAEo6DiEWoD9m0EgqtnMCLSKI7C9zTN80Pp5/kLuvCc9bxbTTQhYsnVRzdIz8gUVsCxRfoNQV7Lo4aSoTrXbPsgdcCYRi0+6LU+jXuSU6z2zQAA08GHG0P8/DqOmKTCuLR/a+NBccaRXou/uIS1nIPk80MU5EUObWEoijnA9Xvdyp8MHKUH47vZWpdil81PkK5EkN1o+jHtDdsxo2KwEi1qA1FaWdDwoR33sBQKWuYRQWtpWCUVaxVjVgtjlLXEbU60uOqPDuvq2ij9fXij/WydHOUG+88zs7ELApw0I3zB/vfTTAdYeNCibDReF3LUVQhUVB4y9AU37t9MyKIkHx87aRGyv+fvfcOt+wqzzx/a+149snnhnNzrJxLpVJGCUTGBAM2xsbu9oD9ODbuGY/jdHjsdvdMT3va2I3HxsAY02A3YIOEBAKEQAnlyrnq3ro5nZzPDmv+OLeCVBIqSVVwT7nff6Sn6ux9au2z17fW+r73e99mE7GSJXY6zP/+nZ/ij3pL3NY/QZdZ4h0bD5EddXhabaNz8AaiB5fxT54hs9ngnrc8y+3xY2hCcrrYSdezFYzFAt41Usl+rWi8cReLN5g0N9X4hW1Psi00g/ESLUAzXoP/7ex7ObLQQ88hl9DxRYJi++oxCMNExiLk3ryBcr+kvLVBOp3nhtQi650lBswMQ0aWQb3IS20Ky6rB/maI75b2svKdPvomAozp+ZZDimoD8dhzWBUeVqP9nP5pi8RQlncm9pHWmhx3Lea8JI8c2UD0iIkz0/q9tQ3j1MZSLO8W/ObYk2yxZzCERsEPY2YkVk61vwDx6nPxHZOoXSKu11gOLPK+Q3AwTu8+D30+d1kbGqHryGgUkYhR3pqmOKLzE33f407nOI4QZIIavzX9Dp6f76fzOUH42BIql7/qQ/xRojwYIrPbZ0/vPBLJ6UYa/2SE2Ixqq/bKy4FMxMnfPEBxRPKuxATDepWqgmXfYPpAL/2PqVZS7qJr9LERKpu7yGw1iN+9wIhdI22XSBhVdoanKITDLG8KM59MEMQu1dRqZwirJZqbe/tmCuMSe2+GXxzZz47QFOuNAo4QSCQrfo3jboxvL28mdUQRnqm/6tbEHztWD5T1TpMN62fZlZohH0ieq46QOihInKygLnNdVZkczjGFG+llNhtmJpogWCP7tCsB6TiIgV4q40kq19dY37vEDmua1EX6Ri+Gh09deXyptJXPnL4J90ACbWkKVSq117p8EdyoSa0nIBKrkQ1szpQ7iZ+qYkyvvKL5xuuBLXxs4VPtCyhsSxF3PVjjQvFaIo6/aZhKb4i52wUq1aQvvUyPXSNh1gjrDW6ITjBiLrPeKMBL6BP2aT5vix5ga2iGh2Obafg6rpJUPZPjd3VTq3Yhzw5iFgTppxvYkxnUSrYthNCl4yBGB6kNRJn6WZ/Ng7O8LbYfX2k81pAcawzyJ997J10/0Og5VOTaiSY/HPrUEof+ahtPd22nsrGJ4TRxq62E9+/efD8fi8/Ro0FYZvj1bQ/znZ5N7D87gHPdDUSnA5KPTqMqVfx8fs2cla8GAnVB58oSOr+27Xs8NzxEp1kmqVcJVm0ocq5D1g1T8w2KTZty0+JMPkqzHME51Y9ZhM4DNfRcDSamCa5SgfKqJm1UPEpx1KE0HvC7A/eT1ppowOlmGnkkQnxSITJ51FV26pGrgrO3xU+S2+hw+uQ4iav6ja8OymtVKLVpi/SjY1TTSb51vcVQd5Y/HvtHNptNbts9wIpMYC/HkacE1YGAP+9/8vw9lith0ofO4JXaN+lwpZDbaLLuTWe4p/MoH0ucWv3TS0WlFnyH54+O4EwaOCcWLjAu2hFCIEwDEQmT2S4wNxX4k63384HIS2kjvHRVuxr4HKn382R2hJ4n65iHzuLnC23HGBBaq6+53uXw9hv38f7U0+y2KhiYPFnv4EBtkNCkScdhF325iAc0++JkNxvY4wU+FDuCIwwkOtXAxCgJzHLQ9lbfQtMQtkVgaYSNJo5sUgpspt0OohOK6LNzBJfpiiN0HREJ46XjZLbpVAd9bo8cY6upU1UBi37A46fGCB+ySR0p4U2cvcqj+9Gj1iHpG1tkV3wGgIVGjPCsILzktf278mIIx6YwJqmMeGyxZklrISa8Ogt+jOhpSfT7x1EvEs51e+KsbDNwryvz9W2fZ85TfC53E47WZIc1SxPJYk+MJ40R/FDHtSMRuuqiJiIRlvfAjr0n+UjvE7zDOcdCunCoygeSffUhJjIpBk+V0RZy+O0Ybw2dZlTyE+mjrLcWqSqdiVoniRNV9KOTly2q7BeLUCwSGuxAlE0KdRv/GjpmCdvC7YlS7tO5Zew4dyePMWbUCYmXT1q6yqca+DxZGKV8KEXytCLI5lr75jY9TPkhiZ/ySITq5AOHTM0hMb2C92JdvisMW/g4QhF0uJT7LaKn136yWEQiFEcdCuOSX73nG9wRPsZGIyAkTIJL5sYLx3PObCMpQ+yxFHusLO8NP/bCS8agENT5o6U72JcZIFfspbMex6jWoA2SNsKyqA1EyY+b/OHeL/ELsSXAwFU++2vDPJYfp+sHGsnPPnENRZJXhrewSOrTi2iJOIU3b6YRMwhlAhDw0MZNfCw+R1JzSAK/mpjmVxPT/G13J5/svIPl/d3Ej0SRQkChCOra2s+8GOfmkSE0fjlxBhJnXuAufOk8a8XlsnI50ozyxyPv4OxSCq3uEJnTcRYdaMekTWMgztJe6FifoUtrUfaOuzGeLo6SOhoQPV0iKL20i8DrRqCwCj5WTpJttg6pm6w5qp0WhzvH0Lq7UNUawRpKcqhSmeThItEZi+JyiJXOAb74szfy0Y5HePfoQQ6l+jgYGyWx5SZ6Ni0C8P06fCm7l8LpJGm/jZMOrwMyGkVYJs3tw5QGLIrX13l/+hk2mIsv+flq4HLctXiwtJ3k8zrJEw3ItjcLQIZCeNdtoNJnEd2e4SeH97PdmgOsV7z2HKJSZ29ogplkiu/0DmHkulsWzWtojlwOZDJJbc8I2U0GOyLTDOvF8w4cXXqRcWsRe2+Gyf44er4Po9JPbbhJ/8ACb+1rJWzOVT1vDp/kwbdsZi4XJ7N9K2ZRkDriYeWa6Icn2sZRAFqbG3q7qaZN7kxNsS00zffLm9ifHyCU8VGF4mW7j8iuTrK3DVAekMTvXODW1DxjeoFyIPl/snt5Pj9I9FmbrgN1tLnM2qcjr7IFZCpBdc8wbkSjGRYoDQKjZe2tNRTSW7WIV4rcDS4fGXyOXfYUEsHm8DwPbttOtVcj3rEbraEwagHCA73qozX8tntnzqFlI6owk3XCskEhqPMH0z/B/tl+es+6qGrtfHJXXL+N7NYohQ0Q2bHCjtQyj9aTPJDbyTe/cx1ewqf3jjw9Rh5XaQRKXBsJGyGQoRAiHCZ/9zjlAcngjlne0/08G40lLo7FK36NOd/kL5fu4eGHdxCdBG1hClUstR9LS0jQNAIdUlqFqKzhKo1GoCHrXkvj6JUYIefcbzpT+D0dLO8KccOeY9wQn2w50NEerkivBFWrY07niBkdPHJ0A5P9HYytX2KnWcMR5gsOCudgCI2ohPd2Pkfzdo19owPUO3ai1RVGBcxyQPTgMqJUwV9pD0egRkxjZHCezYlFjB+RL6UUqsUuIUBmWgLOslhrG1dM4cNsI8FhvY+DDUlT6Ryq9LPSiHBouYdyMYQq62jVC9HU73Dp620xiQJ14d2SQqEJhaV7rI8tE9XrbArNs2Vwjv/v3Tdx6uYEvfeNknhEEBRLV401cCUgEjEWbjKpjzQYMVbO/3lDuXz+7F5WjnQyPH1txI/XgqBWJ3YsT2AbaJUmSgj2f2sTGzcPMNqVYUNsiesjE9wamqTf0PjZ4af4mrmT08EgkakkvV8HVSrhF4ptmyS+BL6PKlWwl6N85uhNnB3t4IOppxgziuxrdDPtdrCvNMR0JcFSOUKpfGlyNxmv8J7BAzhag3f0HGQpFeNr1nYyyw7DcgTnZAw1v3TFcwxXNWlT6THYuHuK2zpO0ylNskGTY41ejuTSxPev4B8/dfUynyrALLiEMhr5ZogAxXqjTpd2hP/SdQ90JFo9fmvoQBpUq7DvCBJIAHpvD4/cPcbb4/v5jY4f0NEV4t8ntvPNTZv56cFnAfh+eRP37t9J/Ixsv83elYAQyLCDikdZ3GNT3VXjA1uf50PRcwmbC32c51BSAc/WR3h8ZYz0DwoE+460zcL9chAhm+xmm9II/Nb4Y3w0Ps2rSdgAhITJLhMWIie5t/sN2NkwoVkT1s4UuTwkoqxsNyiPe+yxJxnSW0nbAEWPVsG2XH5n0zfIrw+fv2SrNcMWo44ldBx5QTPhVivg3k1fIhs0+d6OYZ4uj3L/g3sJTzv0zcahjQ7gwrZopqPUukaMR7IAACAASURBVCS3R4+zxczw/87eyZHZHsYyjVdFhQ46YqzsEsiRMp/Z/DnG9RDgMOtX+cqZndTOxBh/ogRPHVz7CRtoObmYBnQmmb9Zp9npY3fWsE2XqN1AkwEr5TCNhk7gawS+4H1b9/Gx+InVBJ9gizXL5k0zZGsOyyNRgrqGlteRTYFZ0DGLit42e2fOw9DxUh7DySJh4ZIN4OkD4yQPajgTmRcIoWa3Rsm/rcKugVl+pfe7LPlRniiv58HTGxn7SpnySJgje/vQwgFecE2ka1oQEuGEoDPBwi3Qt3GBj498i7c4BcB4wTq0HOjsqw/x0MkNbPhcDpkr4s3Nt+2mWGgSpUGHXiYsmjTRqPsGsuFeVruL0DSEaRCkUxQ2Ryls8fjPg1+jS7OwhAn+tXHoCmo11NQMIaWIHu5nppTm5FAPI/opDOlfpGlzAToautB4TzjPe0a/xXd6LP68741kag5L2RjBos1wOYW1aCGKV08b8krCjQje2n2SATOLKfyXSFVdWUjRmleukvgIrIwkMlWGl7GeX4sQChYbMU5ovZwod5NrOJyaTKPldTqfg57JOsbkDN7s3IVrrt/G4k09Lefci0KLkhDo4FtwarQHO1nnk9d9njtDAR/b8RUKQY29c79F7HgSEQRXjTVwJRDEHOzrsrxl4BRjRhGIAFBXPssnOul/NMA6m237Pf5rhWo0UAeOAbSegdQYvncT9accpncNc3y0j6kNKTr6y4zpWd6YmOam0Gn+e+ImvnpsJ13PJdE12dJtaYPYcjlQvo8qldCWQ8j9AzyQ387ATTnsyBEezG/ncL6HyVNpQjM64XnFwNyl486Pd3HvO7exo2OOf9vzLeLS5MPJJ3m2Psj/dfqDCD+FU6q0R9JGGCbCNHAjgrFIhj4zhyYEK77Bo/n1LCzHSbhXt49UBQp9uURYQK7eypIZCBwRILQAJSVCru0No6rVqD8+xi9nf47fv+F+fjG+wM3hUxgDPjtDrXaDxzNjdDxhEJ9oXFUBt7UIadutNpitA5T7TcpbG7xp/QlujZw4X7Fq0UNbv/O8X+Px2iCPl9Zx3+PX4cxqDK+cpT27wl8E18NZDvBCGlkv8rpuNajnqd1UYabXYXypB1mttYSI20SYTLgeZkGhFzUqyiTARyKQCBISbNHAZIm6fiH8pbUaljDRhMBVPg3lkg88XAUlpZMPIlQCi5pvoNUFer39NW4MIG2XmInE8UMRDMO8xHr5nFWx7OrE70nSTFqUew3Kg4LeXfNsS82TkFAM6txbGWJ/ZQj3YJzUGdBXSu2RsAGEFIiQjRe3cYca9KXz7OyYI6FXiWgNDOmx4kapeBaukgRKckv01KptcyvW9OtF7uo6zmwjyT59gGw1RKkZBSTSE0iXtntnzmkXud0RRkaWuLP7JEt+hGwzQmhOJzrtIUovFPKsdQvePH6cRqDzqcXbObjUS+1ogtCCQARFfBMG7Sx9eo7vuRvJVhy6/PZMVpzHqrtW4a51lPs0+ja2WHsjRpaLxe+X/QYrvsEnl+/iwX3biB01kLlF1NViHP8ooAKU62GWFPdmdrE9OsOdznH6QgX2D43hVIfw5xdfsg1eWBbSsgg2DlMcDZMfl9S31tg7MkVUXrBEryqNM6UOqkUbvDZMep6DUqhAoUplOg672BmdP+l8G3/XneXWrjMMmK32VCkUO6xpxow6jtAIiQuFhBEjzz2dRyn4IeY6Ekz2pjhmDmItJxn4ro0xX0TNzLeVaP7Vnv2BEgRK0EQSBBKjBPpigaC69vWjVLlM7HQFq2jzrLWFp2yFXmmtJx0rCqOqiE1U0VZKl8QRbblA6uilxTslQGmCwJBUF3Sa8SgfNz/IdekZPtr9PTYaCjfhU1oXI9b0YA1aXkvbRvb1UBqNsit9lDdETxAVkkJQ47fn7ua5pUGShwThyTIU2ji+XmmoAG2pQKjh06nFqC7oHJ8d59cGBhkeWuEXhh7HED63RE9xdijF8ds3EJ0Ok8jm20Lj6LKgVMvivFSm64BHdV7n06W7+Ov4GzAXDYyioGtBEcp6mLkmRu7SOCHdCEuhNA8nu3nTpjF64iV+aeh7aEJR7QnIlw1CExGYv7L/9KuTtLEtZCxKMybYHTnLenMBiWTBj/D09BDajA1XWyw38FFTsxi5KPlyD67yMYQkDAhNgSZgjSdt/GKZkS/M4HXH+R+De/jF+Nd5q9PgntARNNH6tx+b6mHD555rtTW0aZXuNUEIRDwG0TDLuyxKG1w+ct0P+L3Ofeho558PKjjfjzjpRfjMzK2cONnHlv97Dm96Dq9NEhGvhKDRIDJRQnoRltzo67rXOl3ytzd+moe2buHrz95JYj7aykw32uRZ1Rs4ywH1Do1qYBFQRq4enDpkK4Hbf4nmY4uN49FK2GQDjzNujIoyWXAT1JVB2bcpuTZ6FYxK+7q8nIMhBBvCCyzHI+ScOFbIJqgGL6imCMtCOA6N8W6Wd9pUhgI2XHeWuxJz/HLqURJSEpMhTns1/mrydmZnU4w93MQ+MoPfRsLDQtcRoRDNpMlN607xjs4D3ONMkZT2y17TStZcqBGvM3Q+ljjEhCu5z9jJiUo3j5XGCQIT6dJK9AVtlrQxTehKUe6z+F+Hv8vdoQW+WhnhieI4sYmAyKEFguwLCzDVvoA/7Xucf7O0my88eROJgzrjn9mHCNkEQ714oRYracTIs1iLUiyFSLtu++oNCIE0DehMMfemgHXr5vj9ka9zg1VHe5G47IwXYl99iAef38bGT9XRMsttzbCBVtWSRgM76/H9M+vI9Id53+ghtjhzfH9kL8Lrwi6UXpJxIyNhRDTC0p4Ihdvq3L3+BH8+8PDqGn6Bkl4KTKZzCbSsgWj34lTg469kML+ZJRSPYRU3UUj38fk9XUQ7W4wGTSjeM3KAd8eeJ625hLQLSZtxPcSvJCbO72saymVuzOdblU18svYuEqdM4sXymk/aBAh8WsyXHwV8JHVl4CoNOxe0jc6any/AUwexpMbIw631SDUaF5yezn3uJWKId3YafWrmh97fBrR4jOXCFh4fTjHw3hxjqacId1fIbYhjZ6JoR6/okK4IRDxGZWMXuXU6H+r8AW92XMDhhFvh4Qd30f1sQOz5WbzJqR/3P3VtQSm86RmYBvuwwAa6092oVJz5u/v4y7ffzq3pM/yHnifp6v82f3BPlJmT3SQfjbSFxtHlQnkefiaLfd/ThDSN7q5OsC1ULt9q6fX9890rLzW39KMa/Y/qyESc5pYBCqMxHv/V9dwUOY09XKJgROh6PnzFo9vVSdroOipk4dswYi6TknUCDE42etAORYieVVffIUFqiOEB3O4oqWgBTQgmXMWkl0LlTWQhg1rjixoqQJXKaLrG0eP9/Fr0Rj7Y8SS32xeSTXa4iVw3gsiX2n7z92ogTJPGtkEqvQalzU02js2zNTRzvjIH4K8mbApBnRlP5xuF3Zw6MEBsUqIq1bZhjlwWAoUsVjGLFscKaZ5N+YzpTZLywsa3oTyqymXZF0x7cbq1MqNGgIH2Alq2JgRprcaYtURpSMPeOoB9uCVs1g5Q9TrObBXPDvP7R9/NxtQyW6LzRLT6+c8sNWM0Ap2740fYa2XOVzOPNgMeqmxhX2mAp6aH8Vwdv6pDAAQCvaTRc9ontNhoP5eXF8EWGlvsWdykzmduHyM6sJXYWQ8r18CNmXiOpB7XaMYF1R5FMFwj3VHgjs6TjFpLJFaT3ifcOo/Xxlk41E18SmItZlDVWluJ8SrPQ9Vq2Is1nnpiI090jPGfklUc02UoliOqN8g0wtQ8gzelj3KLc5JBvUq/5nDYbfJ4dZxDlQEenx+hUrNoZm20iiQ8J9GriuiMh1H2Ws+ljSDjMQrbOymOShJahboKeKY0yv6VfqxCgKq0fmeh68iN49R7IwRRj8fqBg/NbyBxUCc+4aKaTWQyQXksQrVHEJYNsr7N0aMDRCZ0ZD7fnvR1qaF1pKjeMEJpQGd4dJ5bOs+Q1spowrjk498sbecfTu0mfMZAyyyjSpX2X7NVyy3NzNQwjsY50BzgWH8SjYDcbo9aj0WPNo69WEUuZlG1GsK2wTKpbUxT7jXIbw+4YfQse6KTwKrw4+qBVBOtw3atbGGWZdslPl8WSqHqDZyZKnrVRmkmzWgrOeML+OzcbXyxcw8hq0nEarI+vswt8VMMGhl2WXksIYkIC0sYpKTPVmuW5q4K870hqt1j2NlREs8uEkzPtVjYa2i/Y5YU313YwLbUPJs65rB1DxULI6NRgnL5ysyJcy6SIRPHapDSK5j4uGhXn9pzNRD459lqr6pN5TKepao3iE820JomD85tot/MMZDIM7FLo7AYputoN6pcWVPaNqorxdztOoxU6NeLuMrkhNvk6foooUVBeKZ6iTj+/8SLsPpuBJUqUgjiZ+IsPdHNVzdFuTF6mnpgcHP3BA/UbLz+DnTfbxvdrMvG6vqlKlVoNlH1xuWRIAK/ZfPdaKAXGxgVk2agYwifPX3TnAh148YSmD/8Lq8aV41p48cdmvGA660ytmgpeT+WH2fkiwsEkzP47tXtURaGTmFnJ/lxyW2pY+hoPF3v5/6V7TjTGt7U7JpaxF4SSuFnsohyhaH7u3jk+B5WPhDm9tGHzn9krDPD/K0jxCejGPOL17zK9zlIx2HmThNja5E/2Pwd3hc5s5p40M5v+M5Vos56Bl8r7uZLx3ex/vNltMV8W4qB/jAozyVYzmBIwbGpHv42ehsf6XyUPRdFjELQZM43eby6nm+tbGZbbI6fS/6AhGzSrV0IBToaQ7pDYE9T2V3DjYYYyXRAmyRt/HwBnjlCciJFpTzKyc4OntqyCT+6OjcUWEs6eg32vWmAPxy9jzGjSL9m8tXibj77zC1EjpmMfXURUam1bOCD4HwQV80mKlD4az1+vAJCwuTNoQp32Pu5+/1HmHQ7+YNn3412Oow3Uqe3K8sd3RPcEztEj15iUAswhFxtCZJIbOb9Kt+sbOPe+R2MfbmGduAUfq2+9mPri6A8D38lg8gX2HDCAU0D00CEbGb3rqOelERnPYyixyc/0M+xG3p5V8c++p0i9xV38qnnbiN82GLoC2dR9RXwPJQfgOuilGpVbdrwnfF7Opi7CxJDGfq0EvlA8vD0OmqTUdbPlvBXVhC6gQiFWLg9Rf7GJqmOIv9t/i4KP+hm9HOHCBoNlOcRdMRYvk7ij1ZJyAZP14cZ+WpA6Kmja0pb7rIhBNK2CIbTzHzYZcfAJL8/+HU2GgHGSyRsAL5wfA9dX3QITxTwJqfbbp68LJRCnp5h+Ks+K9cn+eb27WwPz/CpN32ak40e/s/UOwlPJ0g/Y2Mulml2hWlGDWbvkgxsn+dfDzzLv4idJiCgFPhoCCyhowmBhqQY2Mgli9Ay0Lg29G0AgnodnjmCJQXp72oIcaEuK6JRhG2hbBNlWey/eTvfu2sdG3qX+J3h++nRKjj6BXegm+0GD936FxQCjW9VNnOwNMCRP9tGslAmKBbXFFPWWWgy9XwPmfUOH+l4jA67QqanC8v1EJMN1BU4HwjdQCYTNJI2aSfDsLmCLTwq6kofo350uFqH5aBeR/veflLxGBPrN/PnjTv4hXVP8t7xA9yd+y2Sx/sw5nIEE2snCVJZF+NPP/AZ7rDzhIRFLqjxpcJeHl0ZJ3W0gXr2SNuttz8uBKUSQbmM/eAKww/plN+2k/8UewvXp6f5495vkzaKfHHzW4ibGnql2nbmJK8IpV5b61fgE9TqaJkSVpdD0bUJywb/of9+sr06H01/vD2SNgAIAQI0xCr7wccLJKLevCIB+ZW/XtAMC9yoIqa3Kuyn6mkOL/ZgFV5IK1zz8H2Ep5BNaPovpFvviM9yZOcQvmXSfziNqlSuLZXvF0EYJnJsCLcnijvUYG/PLOPmEo5sbZIDAiSSAMWUV+Nws5uHilu4/8RW5EkHLTOHKleuPdFmpVrV7EoNa8LiG8YWzpQ7WBddPv+RlUaEbMPhbCZFYy7MsXQ37gaNTaF5PhSdukQE0RBg2S5uyEYZl/QTrW0EPqpaJbRQQ6uZBKaJ51w0voDznS0JWSPrGyz7Ho+ujOOcMolOBZBt0STXUnXpdcH1MPJ17KzJP2avo548yC32InFp0qfXsMUC2/rnOaZ3s3HVVWBPeJJxI0dcCpJaGH81bk55Vb5Z2cixWi8PnNqCN+uwcWWpJUjbxrFHeR5+uYKQAjQNWasTnk1ilkys5Sqy2kS6HYQ0F0N4aEIy00iiz5k4i4qgUGxVany/tca08bMAUIaEmEt3pIwtAqpKo14z0SsC4foopZAhGxF2qKUFG4YWmM4lePrIGJ0zqtWiISQyHMaP2riJgESkhi18fCXR6z5BtdqW8ViYJjKVpNoZYrh7kesTU6RkE0Nc0JDI+g2qCu4vb2VfaZDgVITQYg2tUHndrblaLIaIRs4nlFW19mPVHFBNF5krE56P8o8Hd/NI1zg/ObQPX0kiQ0VKUYdAt7HyFs24wAuBM55jV8cMhvB5vqnzXG2UR3LrGHayvDF2hB6tyHaztaoLRXsyJF4Jgd/ajnreC4YnlELUW/qQ0jSJTkepHnY4vjTEx8sfZDBW4H3pZ+nRC+yy8jhCIyF1wiJglz2FLVy+v2M7ME7iQB5xarLFKFwDVXLpBmg1gedpONIlbtSZS+oYpXBL1PoKqCcI28Ib7KLcZ7LJyZPSysz6cc400mhXWZ2hHSFDNsIJ4UYC+iIVIlq9tU1yBbLqwhppSxSWhUzEqcc1erQikdUW5qpSPLy0nsmpLjYUX58Go6t8prwaR+obkd61GHReAud0XjwPrRng+RqBkhhCEtHqeCHwwjqGtrZlRX7k8H1UrY5e8yi6NnnfQSNDWHj4ZotgcCU1Qa+qe9SPFVLSSAnc3ga9ZotV8fDCesRTceIT147+y+91PcUvv+txfn7Dh6mc6cdeqCL2H18TC/PVgEzEmXlHN+URn9+4/pv8VPQQUdli2JxDQICvFPeWt/Gp47fiHo4x9pUiWn4Of3p29UB1bfz+F0M1GvgrWUa+nMBL2FRj/TxvDZ7/e60eoNd9RjJVxOwJmttHuO/Om/nqxgpvv/UvXsC2AZBAMlJlLu4QmNqPqPP8yiGoVBD7jmNKQfcT+nkNK2EalG9bR2lQJ27W2GxKvlTu4esrO5h6YoB1fzeFqlbxs7lr6j3xSyXE0dMkG0N89zu7+M7wRv7rDV/kFitLWrPo1SSfGvsK9dELY45KDUeEXmBF6+FzX3krn7j37YRnBOMPLkJuniB3jTyviw5RfrOJfPoolmyNX+k60ME6Z5EurQQY7M/00fOUjzNTJbjG2i6DkM5QT5brU1OEpSDraQRZk8iyQNQbLW2xjiReVwyxrchn1v09tzzwcTb9tzIyU8TzPLRYDNKdVPptkkNZdnXN4YiWxoRwg5cUqG0HyGiE+oYecusNfmfwEd7izLacjlbhK8XBZpLjjT4+ce/bGfh2k3VzGZhZIGi+/sKVGu2nNB5D+ArZVITmynCg9GObg0G1SlBvEMrm2Hysk9p4J3/1C7exrneZP9v+94wZRY68oYNiYNOhlYnKOmHhYQufLxV382/n3s3kMwOM3FfnxK6NPPGOUa7vmuKP0o/+WMbz44ZqNFpzY5V9Y2VzjPzABk1DGAbFbQP8mw8Mkeor8Mebv8qYkWVAM4hJk5vtBrutUwy+/zMcf2cfn/30WxksV1FrRExUNn30ClRdjZT0WOcs8YNRDSUd4ictqNdf+Sav9B2pBHM3RymPBLw5cZAtZo5PZG7juewgRvnaidFXAkLXEb3duOk4ofEi/3LwMcKyweFmN1ZGQ04vrBnRZq2zg+r2fspDAltc+B2nPYfF7/fTf9RHn828LhOEQlDn7/I38P3ldejl/5nhC8sGjaSgkdcJ6ddu2uC1QHke/tIyRkeCmUKco4k+9trTQMslT3Z3QiZ3xdjEV+XpqyBAND2kK8gGHlHRotVHjQblnl60ZhN/OXPVNrfScZDxGI2kItlRJqLVyQU1lgsREvMKM9dmm0QhqXXqVPsVfaHWgrviV1j0JSnpM6RHuC41zTd29BNJxejM9KHKFfxs/to5QEgNGXYgFafaqwj1lxkzl0hplyrjz3kNpv0ID69spHEyRnwKtIUMqlK9ZhM256B8Hy1XxGg00Ysmylyd4kohGj6i6UKhhJ/JotUH8E2Fbrz8OyIAZPs+r3OsvosPhsIwCXSBGwZHd9HRWPainCl0YBYFQb5wbQp7r7KxRKlKZAoqXoi/7r+DZxLTjFpLxLQ6EAfAFi62cBnWi0T01qHBVwFTXpWnG/08sLSVyFmIzHmwtIJfLF87seZiKHX+HTrHbPCdgD4jR6AkU16ZTDHM0HITWaieZyJdK1BCYGg+tnSRgKs09IrELKrzgrBKkyhN4nmKRd9AK2vIpVyL+ec40NtNYUcH+XHJ1mSGXrvAETfOkWof0g3ajjwhDBMZCaN6ushtMCkPKfqM3Hm2J0BdeVQDn28WbuLJ5RHC0wJ7uoA4J8j7UswiIVq24YZ+oU1G0xB9aZRlgiZQF5kn5LZGKY5ItAa05LoiWAflj7dFepUuztIKtmNjnElxotbL5yM3MxpaYa6RoBHohPUGlvQIVGucD8+tZ2U6QXISzNkc1ohNw9NpBq31q6k0tDpodYW6VjRtXgTpOK3DsxMCXUe5bot9U6kS1OutosxF65idjBGe6CLXTPLdgc1knGlSTosxq6MRERpbjBUSssqfDwcUd/cSPWKuGTHRcxbUGhDXqjRSinpJErcskNrrXk+UadBIgUo1SWgt/cqz1RSzuTi99WvzHXrVEKLFGHQcauMdVHoNBhNL9Os5Tje7WXTjaDVQjeaaYUMGyRiZrQa14SaO8KkGTQ40Nb5d2k5oSRFaaKAuM+mndaQIRnopDcoXJICyATwwu4XFqRSbyuVrw2H2VUBJQch0CWlNzpdrRcsqvp0hDBOZSiBMkyAZQfgKNTH9+kXbVctN1g8MfNUSVzdQuFFwe5MY9cYaT9pUa8hsCSub4qHqGOvNBa63fHZGp3nmru1Ez4ZJPOji56687bfQdcTIAPWeKLFdGf5w431oIuDJRgfiWISO+4+jqrW2moTCtli6zeNXbn2Ie8JHAIv7KqP8w/z1vK37ML+ePMvvdj/C+z76DJ+YfxMnnY1EZn2c7x6+Zlo7ZNgh2DxCaTTMrptO8qH0U1xnLQGXJm2+VNrJ/zh7HZVHu9jwubOoShWvULwm2hVeEYGPv7gEQoJ8ITdGQctudHXxrXfZJHaucEP3FI5ss/an1wMpqPRoVEY91odbVpbPFYdYPtFJ12xwzbElXgCl8BcW6fmHGsJxKD4yyIPxEXKbNJrxoOUFCqieOqlkhQ+PPsWvJ87g4VNXHn+Tu5kvfvtWohOSvq9NEhRL+FdKOHItQ2oE6wep9YVJD2d5i7PAo/UkX8vsJjgdQdt3gKDpXpPPQV6UVikGNpFJSB6roIoXbFSFUqipML+Xfi/RCYm3uIyWSiCG+5m/u4sbfv55toXneGfkMGe8OH905p1MTnWxudh+AsRaR5L6lgEyWy32fPgAe2MTbDIqsNq97ivFjAen3W7ue+BG+h5x6T09T3B2leX5UrFlVTRV2BYimUCtUtCDqMOZ98Vo9rloIQ9dv3DtG4YP8pMdz3CwPsD+4iBPPbyZsYf0H792SdBqeROnJhn/qzLKsTk9tImTlkR4CnHO3l0KCFr/35Gp0708i6rV8AtFzF1plO4R1lpJirwfxpmD6IwLbcrM+mE4t2/1kg6lIZtmTGBnA8yiT+hMFk6eueSa4NRZhv4mjz/ey5fcm/ja4HY2Xf83JC8SURjQQ3RpTX77nnt5dO96jnxuM13HT/3oBnaZWG8tkNi5wkosRfqRBLJae+3rsBAI3SCIO6hNZa7vn6VLVqkqwdNnhjFPhTCz+bY6A1wtCN1A6+vB7Ukw+X7BxvEpfmPwO+w0y3whcyOPTI0Tmw2unDj0FUBuV4Lf+9gX2G7NMaCHeL4Z8C+f+3maZyOsfyIHp6bw65cXI6o3jpP5aIXrew+Svqjt57n6AOZfpdjy7Bz+0vIPucO1Cc8WjMSzjIWWX2Du0u7QujvJvWGIareksLsBNY3Nnwjg6Mkr/l22gMbGGvONMP1u1xXTBL06PCffRzWayCYsunG69CKSCgmtSr1ToZcliatAsRKGiQyHqPdFKfebDMezjBsZDjd7mGl2YJRosU/asBqqR11udE6T1lzA4mBlgKOTvUSMBu+MHCYqBbfaksOpYzw7upFA04kkE6AUQa22ZgLuq8bqZlbGYxTGwpSGJFtj86w3lwiLFwaTuvJoqID9xUGWzybpnlV4s3PtO/bXiJdtjRMCoWlokTAi7FDt1BhPZBgLLfNyzU8NT0e48vzmuu0hNYRp0oyB3VEjrlepqSbz1TjWssQqem0ZH14NzlkdimIZ2zIwow6eHaORkPg2BAZUUxq65qOhCFDMeQ1OukmezIwQOdsS5Q0y2ZaQ5j8TBKaOF5KEDJeIsKgHJvONOFpNtNgF12iiL0Dgr5bYAiRaE2TNfSFbJFCYecGphS6SxVasENEItf4Y1R7FGxNHGDeWSWkax12d6eUkxpLRYv61GVTEoTRoUu1X3BI/xXZ7GutFa5GPaKmruQKtEYBlonV3vvxNdQ1lWwSORb3XITBa8dgNS9zhBiO9GZJWFVu7ENvfmDjCzXYeW7i4gc4TzqarMt7XBKVQjQbe3ALSNAg1XZRpILxVpuuL1mSVL+C9yBwgYjZwtCYSias0jCotBzb/GorPQiAjEWTYoTyeoNqpUelraTE2khpGSQNSOLWLDqHnnp1pEERDNFIWylToeiteXwyJwBIGI+YKhajDgdCWH93YfhiCAOmC8iQ+LV25dYkVsqkwfsRCs21ErfaalmIZCiHTQbriWwAAIABJREFUXZR7HNKJZUbDGQCyvo3KmdjLIGrXjpj1a8JqYkvGItTHOqn0GqT7V7i5YwJDeEz7ksPZXuqzEbrya6PYKXQdEQrRiEluC00zoEcAcJWgXrawihJZruNdBmtChsPIWJRMr85NfWfZG5vAFjoN5XLGdXm+uovQXK1ljb3WsfpbIgVC18H3X/O+TDoOIhqhEZf02y0dqIbyyPsOegWMSgDtHH8NnWZU0EjAcH+GQs3G7QhjxGL45cprThJf7FIX16sYq3FY+QLhcUXnz1VJ2gS1GqLZxMopni0MYUmXN4VOst5coHP7EouhTvoc+4p+pzBMtP4evJ4EE+/T6B9b5F/0PsqADn+2tIVHp8eIzgdtubEWQhCN1LjOrGOJloXzV57bw+b/kuf4Wzfym+95P2/oOMm/Sp7gfZGTDL3/03x28Vaml9cTnUwhj5xpW8aNjERguJ/85jiJX5rivV3HeXf0AGlNYr/IoWN/M8SxRh9Pfn8zmz+91GoDWgOLzVqBFo0i4jEq23tZ3mXQ2FblX/V+i7RWO/9eXYyGgpXlKM6MhlZptH9lSgi0ZBxSCRrbavwf2x+gRy9wqGlw6mQvG75TRl8s4P0zeWeU2ySYnkNoGh0zYYRjs3LHAKVhwfZ1M/zR8D+RkB5VpfGny3dx3+PXET+h0X/vdKv98hqseL8aLHhxJksp9LXR6n9VIJSi6hqUfetl57/wA4Qf0LXfpX42RPx0BS0SpnBdD7NvCdgwPs0b7Fl84GgzxP35HcQfDhGb8lC5/I9yOFcE1Y2dmB9a5O1dU9ztnCKladgvEnEPC48urYjaWmLaiCB8G+F3vOw9A0vhxgNksslPb/0BaaPVwmIIjy32LAlZR0O9gPXUoSlsYSLFGo7MgU/QCFCzCy9kfr6oCPDi1gs3JLg+NcVu5yyaEBQ8h/CCizGbvewqejtAOg71WzZS7jeIfGiOX+x/hi69RFg2KAY21cDiEyfvZO7AEAQg/QvPsJ72uHP3UYZCWW4In6ZDVlhnvPTaNdnsZH9xAL22NtY2WarjLEYp5Q0aCoZ1lz/s/zqfdW7h++tuIkYPsl5/bS41Y0Oc/kCK5nCDT4w/wIieY86P8mRlHV3PSDqeXELNtYcT5tWCtCzEYB+1sRT5Xynzhv7T/EzqB3RpNf7r8l08tzJI5b4eNjxWQJtfeV36MFcKWm8P9fVpKoMKU7w+hUV/13qmbndwd1T4rfS36NIUlgjzVMPlf9n/i1Qm42zMLrYFC1RGIsiOJMqx8ZIOWrmBOHL6NRn+qK3jzN8UpXh9nV/qfAQDxXE3xPeyG+h9vIQ8M9syumlTKEOnkRA00j4fHX6Ekm/zyb3vJhXZSOj5s60uhVcJ6TioDSMUN0R5c98jvDt6gC5NZ9n3CB+0GXhgGeaXrti7dHWYNqsq1JqryNTD5LwwAFHZZDSWZSkZI4iGkeFwq5fsdR6ShK4jwyHc/hTVXovkQJ7b06dIyCqlwOdMqZPaQoSO8hre3LwCdC04r5IOoBU1/KMniW1OcWS2B0dvUogfICpN3uo0mEod4y87NmIWLUJGGwpHrbJCZCRMZShKeUDjZ9IHuSd8jD5NwxIX3KLOM2xq63gsP054TuCfOP1jHsBVwmoPslj9L5qGsFstYqpWQ/kBQpMtbQTbgosYbUE8ghe3KQ3qVEddNqRXGNZrxKV5idDsGdflYLMfmTOw8gpRb7+K+CUQsqVJkgiTjFfYZc8w58U51uzFyGno8zlUuT2Tm68VqtFoHQNrNWQoRKAN4EYUY5EVthomxSBgxfc5WughOqERO+vhz85fs0LnLwchBYEu8U0wZWv5dZVGzTUQ7bCze40QzYBMMczZSIpSoGgqDd8CP2yia6stlUGAaPgYBRfprq7lvd1UejX6hpbZkZzFFpLlQPF0bYwD2X4i8z72fBnVhkwb15Hs6Zxmb2TiJRM20HLeCwuX/lSBM/2vbPqpWT6d8QpjiQwfSz1B+hKttkvbV7N+gzOuy7HGMIdKfeiVNSoVf5Eu1GVfIgUpvUJU1s7T84Wv2rvK+xIQmoYfkrhhwa1dZ/jZ2GksYSARBFQJCDg6cIKvlHYRBAJ1UdJmsCfHb6a/TVpziUsTTQj0FxnMNpRHQ3nMNFPMlBNoayTfJZouZtFHr+hMezGkXmRYN9gcmuMbXRKzGCJ8xoSyuOzzgbAsZCRMvSdMc6TOaP8Km4wVolLwdL2Dk9VuQhkPljKo2hrOtEsNaRqtVsloFIKgpdHievil1yA0vrqXFrp+fr8oImEaAwnK/QZ3D5zgfcln6NJqNJXkYK6P2dkUgzMecmIGv7Y22LQqZFHv0PEc9YKGHVfpqKZEurzis5G2jQiFKPZYVEdcNqZXGNZ1LKFTDupMumnK0zHCMy2n43aAjIRx+5IElobnaJhKIeWrWwuk3XKALPeFKI8E9KbzDGgGhaDJiWaa6VKCVKaEl8lepVH8iKBaLsz40K/nQIdat6Kc13GOvQYiiRAI26KZtGkkBL1Gni7Z0vI948WxcgrmlwgqVy7eXNXTvFkKmJzvIG7WcDueZVhX/Grvd+gP7eHBe24mNhkn+sgp/JXMa/4OaduIgV4awylmf6nJdf0n+Ej6cfr0Al8u7OFwsZf5bw0y9mQda2JtZIyvJGKPTxKe7ubwXZv4iw8vsNOZ4m1OjhFjmdxOn2bCZPhwBF5EPV7rkJEIoqeL/O5uzI/O8+aOKd4ePkpaMzHEhQ2srxTfrPawrzLMl++7lcGHGvSfnbvmfudz0DpS+Ov6acRNSkMGjYSgsq0OShB/xsIsKpoRgR+C0tYm6Z4LleyQUSNq5rk7usit0ZP06TlSmnVJz+rzDcnP3PdxIpMa409WMebzBIvt39crbYv8DX0URyR3pE8wqAX8x9lbeOLEGOnDimBx+Z9dMgJoMZA6OyEVJ3NXg399/bd4g3MSMHm8keKb+e1MPDfAhvsWoFjG/2f5jCSlYYvcJsF1sRUAqr5FrbmatLlGW+qMiQW6Pz/MsXUb+fuf30OnUSK3w6cZDzOU6YBcDn9hCZE10awh3LjB7B0RKhtNto5N8NtDD2Dic9Iz+OulO3nyH3YSngtIPT9NUCi2WnevMWhCkJI6UeHz78f+ieXh2CteYwiPsGgSlXVS8vK2ZX+8+EbuP7oV+4RN1z6P0dliS0D9GoCSLXHasGiNJ65XKQ6bCL8bs1DEfw1V5LWIoNEgfKqIbEaZrHaQDTw6pcQSOhKBROMXU49x1w1HgVbb3TmcY9YYwkJHQ1tt0Tsnhh6geKphc7rZzX/fv5fwYZuek2tjvgULSziVGt32GL+07mfZ3jfHJ4b/iV3WNMl3zHF2upMNS31oTZegWn3ldVlqsGMDk2+OUhtt8m9uvLdlVCElJz2D/3jgLXhnI6yfyROUSmtGVPeloPf3Ut+QZmWbReRtC+TKDuyL4cwrur964lWdl4RltcTgO5PUR1PUUzqFMUkjqejatsT6WJafSz2BJXw+Pvl+Tix2Ef1GhPXHqhhnl/HLlTXzrLyuKNnNGnZ/EeOidtQlP4ozYZA4HaDKP7w1yr1pC0vX2VT31PjPe7/MiLGCJXSmvCpfKu3ky1O7Gf1HD2tqCX955WoP6YqgdOMQCz/VwFsxSO2XRICQEK9K4L9x+zYW9pp428v8u91fZ9xYwhI6TzZS/Lun34V5OkSysva0sF4t1NwiA/cq8nvSHHtTLzeFzrDrDSc4tL6XxkQn+vziZZuQCF1HRsLQ08XybovysM+YuURFBfzy6Q9yfDbNyEST4ArPoauatNFqPipnMt8ZIx94RKXGFqPOdHiSfxy4EQKNaEcSrem2gnIQtHziX2KA5zPF0LLuFaLlshAO0+yJUxowede65/hA8inG9NaCfrLczaH5XpJnA6yjswSl8iX3bXd4C4uwsEh8+Eb2F/pxtAZvDmWJyTpOd4V6NQqm8co3WmMQlvn/t3fnwXFd14GHf/ctvXejGzuIhQAJgqQkUhRlUZZla2JJ3uQ94zi2Jyk7qXHscqI4marEzsxUZjKVVGWmMq7JpDKpcpzEcSInZct2HDu2KVmbtZISKW5YSJDYgQbQaPSC3vu9d+ePbu6AKNGkugHcr4pFUoXuOry6bzvv3HOxI36ybRpf6HmOt3om2WJUbk6gckNS+d3hbKGdY8kuwmdAf+rohk3YAAiPh0Kzh3yzTroPyk1l3n/LIA6Cg4l9uBIa5QYH2+fw4K3DfKTpyIXPnn8oaNFLdOo+Vnt7m5clJsodhIc1GocLGGdmK9n1dbis8Cq6Tr5JkG9z2OJO4hYGkysR3NMuvEvWpurPchmhIYJ+yo1+tnbE+VTwNKbQKEqL0WI7x+JdeBcE9rnJjTEProcmKPsF5QaHsFG5MSxKg2LJwLuBTzhOeoXAYAxECyPZNgb8AldjgVzZi9UcwIiGkNUbHMdjUgrq5Dpt7tl5jnsjZ9llZpmzDI4VuzkW66T5eBFPNIO9ELuu8u31whQ6ptB5i9sG1t5w4cqE+fn+QbaUOFcsSMtJm5KUOEBZwpGlLjyjHpoGbfzPj1aq5jbK0k4BunCqS780/FqRUoOgGDFxrcfK4bXYNloqgyvhZiEfZM7y4jELmEK/UP263fCyfdU1mAJwXUjWAJSljYPDilMiJyUnC9s4ld2CEXUTnHQwEvWxCYdTKEChgC/agTPpZ0hvZ7lbx6dZPNg+wlPaAMWWNvyLYTSo9AyTDvKSZXVC1y/08RAuF9l2L4WBAgNdi9zvG6NB01lxHKbLTZRn/QRmBFo6h1XnLx1kwEuuzSSz1eErO77PyUI3/zd3P47LTVvAj0hVk06rbaxxfgc6XUfoWqVSJxyk3N7ASpdJvkWQ21Ek3Jjl01tfote1RFArE3fcjERbkRN+IiM59GOjWIViXV3vbbdOOeTQ7Lv8Pq3gmLgTEk+8DGtcU4TbjeZ2k97iYqXf4s6eaT7iTwIGFjYLtpdDiT4WomFuGZ1fH71sqgoNOm/tHedVTxel8TDltI7XNCsN21ebH1QaUAtdA9NEGAbLnSaFgQLv7B3jE4EYDpVngdFiG/q0B9+chHVYFXslJ5fDGZvA397ATKmRgmeKd0TO4jdKjDbfQijcgMxkK9fS19ppWNMRXi+iMUKxxU++TaI1F3EJm5SjcybaijHuwUykb/iL4Jt69fMOztKfa2PxLW38tv+j7A9P8/nIEd7mneYL73mMs/lWDt61G5loIjCu405IIiM5zLmrS7BKPc0kd3iwXWB7BaUgFLaWMH1l+tsXucOf4FcbX6RFs3il2MRIsYOjT+yi+bhD6NQSdiKJLNf3yfrn4Z/JM/hsP8MD7Xz6rSfYaVr8yd7v8822u0l/s73W4b1hsrOVmQeC5AaK7HJFadb1Cze4DvLCsqhl2+aR0bdgD4bontr4D912e4T5u3VKnWU+ecdhej1L3OmZAGDg3fNkbA8BvYBHlNnvnaD7knpoXQhMBG6xern+lJXjr5ffxpPRARpHirhPz2Gn03V14f55CMMg1wGurRmCeoFJyyI62kLvz0p4JpbXxfrlm0Hzelj8dx2kt8EvtRzFp5kcKpoMFTr58xcfpOOnBp3nVpAbZB5cDyEElkcg/TaB6jH1arIbMRQkMLdxx8UpFNGii/g9bl566laebR/g7p1jNG7L8UTbAKXELlxLOkZWUN6b5cDWET4QiHK7b5InU7fwntF7Sc6GaDqq44vZeAenkNkc0lr/N4A3Q84pM2qZ5Bw3cTtwobIi57j564m3Mx9rQCZcGFmNyBD0DKfRY6m6eiN+I2hlydlCG2E9x+2uBLtcUcr3pol2BggdD8F6L9OvkraNE1/GdBwmftrLJ/s/x4f3HeOD4VfZaabo0H2v+7tyTolXSi7GSh387+EHySz6CQ2b+BYdesdzmNEEcrm+ekjp4/P0/usW4nuC/EnHQ9wemuG+wAi3eWf4w89+kMn5dppe6SQQtfAsFtAz1Xs8ISh2BMm2m+RbNLKdEmNrhi/veYJWI03MdvFsvoOvnHmA5bkGeg/aeKeWcRbrv3rCavST3KFhdq3Qa6Ro8uVI3O7nmfYdLEx3Ephrw3cmjljJYscTleS3plc2mWhtRgZ85PojpHsMMj3g2pmm0Z/krsYoXq1EyChgChsbjecyA3zx9B2U4h7an9MIzBYwx+brLmHzWpasEJHREp7BmUoz2StpOomP7yd2l0PXzgW+1H2YfZ4pdKFzppzlYOYWHpm8C+0bzfTPFnHW2bnFnXY4NNVbaUR+X4L5sQYaBregLyWwY/GL/x+FQG9qRPh9ZG9tJ9dqkLgFRE+W/d2nebjpBLe659CFiydyJl+Z+hCnz3TS/6M85uIKzgZqHWDEszzywj38uHs3X9p5kF9pmeHhT2wleu82Wo5AcKKAa3yxspHNFfRIBNnZxsquBmbfbxFpyvDp3hcI6AV+kNzHaKaV8BNeGodzaNPzN/y54qYmbazoPGJ+gUbffk7MdGJJnc+EX6FNd/NwZJRUw0n6vYsMZzv4qX83hUUT94qHQOnqcuKVHjfJAbC9EhkoE2zK8pntr9DnXuR+7xxBzQXorDg2I8UOXkn10jAKDYdmcJYTyHXeNNN2BEVZvlAGKwWVktAqLVMiMOVnOeKlJCWthp+P+DMkm0/yTXfXGnsD1SkhsMIecr1lOjsStOglfNVGuc4lRX85xyblmOQW/LSMgRGvj7dIN5PtNyl1lOntjvFw0wu06j7OH8b7XFduC6oDr++mz8Im5rh5camPhbkwjQtprIXYurlwX5MQYBiUg5LecBpNOMQcH+4lHe/ZKHKdLR+8kYTLRbZL4GzPMeCJYqAzXW7i1UwPvjEXkWcnkNnspk1qnScN0Fw2plZJ/sdyfjwxcKU27ssAHBsnm8VYStAwGiFTcNF+e5pfCI3QtTvBYjnI89FtJNM+Pn3rIT4fOUJOSgpS8EihgczpCE1noPUH55C5PNb1NBatM0KCJXUKjklZOphI9Gs0xrSlpLzGEXR+5z4byYp0mCg3k7T9zJYiFJxKlWzWchM904J/SscfdfAsW/jOLeOMTWI5cuOcp6s0G5bLfpK2D0jQqBfYv2WGw+WtSM+1ewStG1JW+joCkVEbo+Di0JatbPfECGoFwlqlcmCtbXfL2Jy/JUo5NkOFPk5kuykNNdA4Ca2Hk4jJKE4mi1WHlW12LI6RyRJx7eLkYgeakHw0dIwdRoYvDPyMU51dHEztx3ab2C4Nd/Ji1Xh6q4tMt6DQVWZ3/yx3N07wy8FzrDg2p0pNnMh1kzrdSGhWw3dyYtUHsHpke3RKDQ5N/gJuAUHD4n3BE5jC5h96O7BdJq5kCEPT0AoFnCwIl4kwDWQ4SLnZR6rXJLXTZstAjP/a/2+062n6TcmKYzFqBUjaPk7luxnLNqMNBWiak0SOxSEaq/TNqdfziRQ48vJzbcExMZcLWItLF+IWhgFCq1RiuVwkB+CdBwb5cNNRPuTPYUtBzikxbYV4MbmNhYlGdj9+Bju+vO6eIYycTSnuQWvJ886eszxRHqDc7MMsW2iZbKVvnFbpa0Q4hB2szI9st2TngQl+q+tJdphxeg0fDjpFWWao2MvpsQ4C5wyM48OVObGBiFyBwJhBwo6g75TcYqb4pR2vcryli9Op7QjbQzgZQqyS5BWhAIV2P6k+nc/sf5bbfVO83bNAzBb8XuzfMzLXRt/pPPrxszelH9TNrzOVEs9UksjjrYxu3cYX+Bh7G2b57aaXCAiTBwND7PdOMHBgnsVSiJMHthDP+a/6mrbAJO8IzePTSwT0Ai3GCvvc05jCYc7WmS/6+Nr8fYwnm1g52oR3QdB+fBknkVz367xlqUTp2Wb2ZP4jD+99mocjk3h7V8h87K4LP5PcruG7d4l3t04TvmRNvEeUKUVc+NpacZaTdV+SbrS3Ue5rZ+FOLx+882X2ByYJiqtvWFJOiT+Mvoeji520HNZpPhyHhfp/i1KPXirCfx//Rcbnm2l4xkP3gl0Zyw3Sp0O43Yhd28h1Bmjfvcgvd77CodQ2/iW6j8CUxIknkBtoR5I3zDDI95b44MAgu9xRHDQOLt/Kc6d30DItK+fQDVylqFybk0zRcniZ8KiXpxMHeKzhAKWIg+11MMIlvL4iJ9Kd/IXU+d74XvJnwgSmBFtPFTCXcsjUjS8TrhXfbIGDz+7jic4BVm77GTvc87zNvYxPW30Zsi0lfxQ7wOPTO7EdDdu5eD0T4uJLCCkF+ZwLY9yDkRN44pJqfhBhQ99MCTOVRVspIIolZDL12iXc65grbfOz6e1kOlx8NDBJ0nFxcrEDa9ELpfW7e8lanEKR0LFFAuM+VmZb+LvGh/h/rZXlmE5Lieamqx+alpMBXCNehAXCqfwyMxK9AD1nCxipPGIuVumpUK+VbdJBFot4zi0S+HYnx3rC/I8Pwf7QFLd7J9nljuJ+sMx0PkK84CdbvniMdfoydPmSbHEnucU7S9Zx84/pAZ5Y2sWp5/vxxARbjxcxkwWcdbRLnedcjO7H20hMtvBQ+bMMNMX43c7HuMc/yuJ7gswXQoy8q5V8LoAda0YvCKQhkTporQWaI2l2hibp98foc8cIanmez/fz5fG9TC1HcAZDGDlwJyRmTtI9lkVPFyEau+H9N24kVzxH6JyLWGMD5b0X7037PfN8890NNPS/hYanx5CFAoufvI2VXii3lnGHirxv+8t8JHyUbWYaCPDHS7fx9UP34lo0CJ+Bvvnyuq0k8Y0s0CfbmLs3yLv3nWTvbdN84w/eysyKn9L0HjRLYPsdpOngbczj95TYHRmm05vkF0LD3OaKM2n5eLnQxEuZ7by00EvsTDNbH7fxLK7Ud9Pu6+QkU3Q8n6Uw6ub37U+ht+V5aGCQ97acoum9WWbva+D0VDv6/J1XfdYK27R0J9jqz2AKm+O5Hr61eBdjqSbyB1tpm7NxTcxUdle9Cc9Qb87i4MUlWg4beBMNnOzsZrEzwH8IHyJi6txqGmBavMMzWvnZtiOv/V2XcDDIOEWOlgKcKnTz8uk+XFGTnicKuCaWcGLxC28x1jNpWTSfKJNa8fFU5wAPRybpb1pieM/FiiTZn+XLAz+pNta6eGHThEPZp0HQj0ilkXV67T5PNgTJbPWS7XH4XPPP2KLLq26GHRyyjuT56T6ss0H6RrLYQ2dqFPH65iAZLHYzdqKTwJRG++OzyHiiUma6QR4GhMtFvitAutvggdZx3uU7w3fm9nN2vI2emI2zwd4ivFHC0Im0rPBQ+ATdehEHN6PJFtwTbnyLpQ1xDlV+Pk6hAIOn0Q2Dzsl2ZNBHcm8j+WaD5D4HT0OWuUwDsXyA8tEIfU9UGphbYxPr7s3ltRhLKzSe8rGS8fNS1zZyQTe3u5Zwr3G+LGPz1NwO8q80oVlcttvYZS+NJTSkJc3HchjJHHJ8+qo+WxI2RcWbkbPJLvqZ8DdRlg45x81KyosrqSGsDTgCjo19dhyAwFFBUNfReruxWkMkB3yk+67e2SQ8I2n917OVHgyWVdlG/XzfF8deH8dddadZezZK5GCW4K4eDu/rodSl82BgiJ2mzj3th1b96MXl8g62lLxY9PLj+B5ePddD/79Vl3SMTyPLpTfUlLXW7Nl5fMkUrlQvM4EIR/p9lLcY7DBT/Gn78wBEu0skHRdPZnczX2wgYBRxC4sHg6e4w3UxKbxk55m23ZzOtXNmqAv/lM7WnyyjJTLY0fkLifT1MFe0lTyBaJB00qB8ybm200iQ213E9rppeDWA0ATLd1k8uHeIz7Y+zQH3pc8PAWzp8Hh0F50HNfzTGXhlCBx7Xc2RS1mT05iT0wR67mGfe5Eef47f2PtdolaGrw4cIOe4uMM3SYuRZr9rhcgVSy5t6eNoMcBz6QGenu7HOhWi5bTE89jxun/Jf72cTAb91dMEGkJ0GH1kOv1kt7m5yzvOx4JnCGouvt/VzKGV7dhol1V33eKb48OB0yzYJgczt3Eu18Kh8V60OQ/9TycQk3OV5co36SXVm5K0cfIFtMVlAlLS4W6kEGnh/Wd/F0IWAz3zdPuTvCtyil5ziW1GiYjmXfO7pqwchwrdvLDSzw9O7oW8jpHWMXKCLSMO7mQZ18QSMpFa9xU250nbxnt2CTMdYuJ9jQB8quMl/uX+i/++W4JR9rijhDUwhYspK8Nfxt/Ok7MDROaKEE+uized0mNSbBA4PgufsDGv2E414xT5bmYbRzK96IdDtAxZGLPLG7r58KX0TAn3bAMzvgjlnW/ss3Enz7ytc7TQwzPJnYwmW5idasK1aND5so07XkAmkpWmf/VaHnsdhNtFaqtJZquk17OEKeDcfAvBYReexc2dsAGQlk1iKciPkns555unSc8wPxuhcU7iSm2Mc+jNEEsE2TpSxD2bwt4gCc5rkbaNTKWhUKThlEYg6MY/76EYbKagQUHAlrEi5tQScp2+ubym5SRNx70EZ7ycnt/FkHcXfx++H3l1X3egspyqYRS2TBcRjkQ4a88VLW9hzC0jCwWcDdD48XppZQc9o5HKV5IVYS3PlrYks/lm5DrcWOENkbJS7RBPYhZKNObDBGauTtq4UiXkSgZZKl1s0LtOq2OlbSOzOcyZOOEfdzHcspOP3t5DOJxlX8scPd5lPhx6ld0ujbNli2krzFChk9O5Ns6mW5iORbCWPATP6nQsOLimF6vJrPV3DEnbxskXMKfjbHlBJzvm4rOxz2E1ltmzY4Zef5xfb3qOLXqJd/jOkPZ4KKNTlgbPZXfy7UQDJxKdTMYjFJe9eKIG7gR0TVm443nEwjIyX6jbipq1yESKwIhBq6eZe1t+m4GuBf5xx7fYakg+te8wZ3e0cLivF2k18fH9L/PO4HC1p+PF88XHxx7g2HMDNJyBluE4IpXBWqfHzJXcKYc/j93H3cFzfNi/hEdo9LkXKUuDXa55GvUyPs2NLR2OlSz2YPhjAAAPb0lEQVSmrUa+OnMfp2fb0GY8+OcE/oTEv1DGPZ/BWYfHzusmJU6pjLaSITScwBf18pL7dp5q20NwR5KdzYu8NTzGQ+HjxO0AMSvEsZUejsU6ec7Zxl8597GS8uIZ9WBmoS3q4EpbiPk4zk0+tt6UpI0sFrFjMVhaomHMTdjrpa2zjXKLj/H7ezjdtgVrr8bdoTGa/KeJrL58F4A528fBxG08c2YH/V93MJI5tHQOSmXsxSVkubTxHuClxD47jjbpIpW6FYCPB1J8PPDUFT94cVnZtOXjeyO3w6SP1rk5rMTaO1jUE+kyKAUFms/CI7hse2+AFenw46XbODm3he6XC5gvDmFtoptbLVfCF5Ukm9wU5BvrVBSzNUZKbfwwtpcjg9sIjBnsfDKNlsziTM4irfKGfPgUpklui4TuPN1mHJcQEHXTOFLGiKU33vnijXJs9GWDl2M9zAdDNJgFXPMmgTkbPZHbFG/2r4eddOEZqjTW3TSkrDQnB4jFEFSuOlcuaN7Ix5QdX4b4MibQ+tiN//6NPHavlyjbGDlBoWjiAA1amb1NcySyXthIu0etRUrsRAISCZiZZbU0lYR1Wx1wFSlxCgWc6Tmav5dCNIRIzHSRa/Hy5N4Gwq0r7N49y27XEqPlFl7J9vH0/A5mZxvxTLpoHbLxRYvox0aRpXJd9u953RwbWbSxpmfQp2cI+3xEjnRQ6mxg+L19DHV18LF7XmaPbtKqg0OBJTtP0tF4NPYWDk/1oJ0OEBlxCJ3LwuGTl339er2enz8eItk8Zq6TyTu3Etsm2O3y88et1X9j35WfClz2t6OHdrD9yy9Wvu/mh/ymcqVtHpvaxXKHn3d5D2IKjR6z0lS535QEtMpYlKXNyWIXh1e2ce65rXS/YOE7t4h95tyF79oYaaxrcOxKFfnQGYQQdJ9rgaCfufd1cLg/zLb7lnggYjNenmVUy3HI6WMp2oCRMPBPCzoWHMLPjiGzuUrPHynflDn15l79qqWQFIto8SSuYom2I80UQwaHx/fwfPA2/lfQQbrWnjJaVscT02hakJiz84h8EVkoQHn1rcI3EmnbeIa8vGfLB3hP2xAfDZ4grGlEdB/j5QzP5LdxLNvDwbHdFOJeGl/V8S45yPT6qSbQYymaT3mY93l59I5bucUzw93uLDG7yNeTd3M82cXwc9vwzQlcsws4lrVu3y5dl+UUTcMBNMvDJ3p+nf7GJT7d/jzdRpJ+Q0MXgp/mg0yXmjiR7WY+H+R0rJVcwoso6Gh5DU9c0Dbj4I2V0BeSyHx+w/ZGAMDtotxVYm9nlCfTt/BYUic4ruGbSKyrY+NmkfkCbYckmek2hrxtSA1ah2384ylIbrz+ETeKsEXlLfc6qGBUlPVEz5bwRSHR6qG0Ua9LytWkg1Msoq2sEDqbwbfgwp1yUwo28l+GP8WXwvaFynpXEloSEm/cwjeTQUtlsUvlDfccIMsWIpHGJSVth1sojHr4tYXP4/gv/juFpYEN3qhOMC7xL1j4ZnPosdSGSwLLTAbfeJpQOMIfTH6UexrH+I3w8QvLfsrS5tWSw5wV4Z8XDzCWbGI55cfOmGxZfaXdhuCJZuDFRp7ZGuQvfTF6XEuE9RwxK8TvDd9HIu3DLhhQFpjLBkZG0DZo4ZtMQWKT3+dJicxkEbZN86kIvpiL7y2/nX/qvBtR0tAKAndco3VWYuYcPPEyRrKIzOZwVtta/SZ6019ZSMtCWtaFPgne0TG8QhC+ju/aiFUBr0k6tB8qEkt089cPRNh5xxzbjGUiOgyVm/nbyXuZOdPKwDdy6EsL2DNRZLm0rjLK1uQ07tl5Wtz7+Pa9+7mruYk9rc8yaYX4h2N3Y0652fZoEjE5V22wt9EuSa/NXlhEW4zRNtHFUrGLUz1NPPrBEvc0nKM9MIobjUeX7uJErIPUmUY8ixpbXshjHBkCx0FKCbZ9IUmzGUZPul3s7ZvhUx0v8acj7yUx18D2wQL24Olah1YXnFyOwLcPEbh0B5w36a3BuuYIZKGomjQryg0mUhlCEyFy7SblTXabt6lJWanMLxbhlRQ6EK5el1pf4zMOG7c6QJZLlZUKsRj+0TH8QtB0zQ9JJBuzas9OpiCZopFdDD2/jcHeDj7wthNEqkX5RVnmqcweXk5uZejgAE2DNgODS9ijYxv3xSTA+Czd/1Jm5bZmHmm9i77mOJ/oOMxIvgPXNxoZOBZDRhdxMpmLn1H3eRc42Sxks+hPxQkCwbV2hKzOoVr1l6uPOtONfCDdSFLinl8hbISw/EF+K/UraB4bj7dEbtmHd8qkcU6iL6Ura53X6RsHadv4ZnNMPdfB9xva+EHnHsp5k/BRF94lB215BadQXLf/vp9bNSscmihg5lw8H7yNp0O7+bNIEaFJ5LgfMyVonJN4UlalIV+1v5OsNivcTMecSGcY/tk2vtTag2/CpHFZ4lpIqIvVlTbRnLgeWgmcvEGxug2zDFrQ34MeT2PNzNY4OkVRlA1IXZcup8YDAC25QtOpMLlFHx+yv4DHV7nHtW2NUtSPuSJoGbHxT2chtbLhx02WSmjpDP5pH8lDQcaCQf5bWxd6VmP7VA5SK5VdUjf4ONwwdTpO9ZG0UV43e3gUc0Rjy1M6Qr+8+Y+0HZAO1npe6iIlSBt5ZJCe4yZoAlHNeJ6vqrE2WXXNauz4MtrzKfzAth9WDuML4yTlZTtJ2JssSXMlKzpP3x8nEEJcOEbszZrwU66LlBIjL9EyOimr0ig/0rzC0v5GwqNuNJW0URRFUZQ3hTUzS8O3FmgQ2tXPQuerIcoWUjqbYlWGLBax5hdgYZHOY9UuWFr1maBU2hRjsBmopM16cz6p4dh1v333z0XKC9vNqVPNGqo7PMli9fdaxlLnZLGoxke5fo7Et2RTmjYYTrcz25zDcjSECdLQQIhNnRhVlBtJFgp4lgqExg0+OfgZABamGnEvGIjMdG2DUxSlLpx/kbuhn4XeqEuenZSNRyVtFEVRFOU1SKtM8OUZ/GdDDO7u4un2XgoFE80tcAzBGrs9K4pyHez4MiKZoumkgfhhZW+yRiuGtB2sS3syKIqiKMomoZI2iqIoivJapETm8miahm+8kb/ouB/G/XiXHMx0SVXZKMqNVN1pVFoWFAq1jkZRFEVRak4lbRRFURTlGuxkElJptn41j3jER0vuLLJQqGz7XevgFEVRFEVRlA1LJW0URVEU5Vqq/cTspTgsxWsdjaIoiqIoirJJCPkGyrqFEDFg8uaFUze2SilbXu8Pb6JxATU2a1HjsjY1NqtT47I2NTarU+OyNjU2q1PjsjY1NqtT47I2NTarU+Oyttc9Nmpc1qbG5g0mbRRFURRFURRFURRFUZQ3h3btH1EURVEURVEURVEURVHebCppoyiKoiiKoiiKoiiKUodU0kZRFEVRFEVRFEVRFKUO1XXSRgjxXiHEaSHEWSHEl2sdT70QQvyuEGJQCHFKCPFPQghPrWOqB0KInUKIY5f8SgshfqfWcdWaEMIjhDgshDhenTd/VOuY6okQQhdCvCqE+GGtY6k3amyups4zaxNChIUQjwohRoQQw0KIe2odUz0QQnQLIZ4SQgxVz8FfrHVM9UII8cXqvcygOo4uUtfttalng6up+fLa1JxZnRBiQghxsnov80qt46kn9Tg2dduIWAihA2eAdwEzwMvAJ6WUQzUNrMaEEJ3Ac8AtUsq8EOJbwI+klF+vbWT1pTp/ZoG7pZSbpdv4qoQQAvBLKTNCCJPK/PmilPKlGodWF4QQ/wl4CxCSUn6g1vHUEzU2r02dZy4nhPh74Fkp5deEEC7AJ6VM1jquWhNCdAAdUsqjQoggcAT4iLqfEbcB/wwcAErAT4DPSynP1jSwOqCu26tTzwarU/NlbWrOrE0IMQG8RUq5VOtY6k09jk09V9ocAM5KKceklCUqF/YP1zimemEAXiGEAfiAuRrHU48eAM6pBymQFZnqX83qr/rM1r7JhBBdwPuBr9U6lnqjxuZ1UeeZKiFEA3Af8DcAUsqSSthUSCmjUsqj1T+vAMNAZ22jqgu7gUNSypyU0gKeAX6xxjHVBXXdXpN6NliFmi+vSc0ZZUOo56RNJzB9yd9nUDc5SClngT8DpoAokJJSPlbbqOrSJ4B/qnUQ9aK6zOUYsAg8LqU8VOuY6sT/AX4fcGodSB1SY3Nt6jxzUR8QA/6uuqTua0IIf62DqjdCiF7gDkCdg+EU8A4hRJMQwgc8BHTXOKa6oa7bq1LPBmtQ82VNas6sTQKPCSGOCCF+o9bB1Jm6G5t6TtooqxBCRKhkiPuALYBfCPErtY2qvlTL8j8EfLvWsdQLKaUtpdwHdAEHqmXpm5oQ4gPAopTySK1jqTdqbK5NnWeuYgD7gb+SUt4BZAHVO+ASQogA8B3gd6SU6VrHU2tSymHgfwKPUVkadQywaxpUHVHXbeWNUPNFuQ5vl1LuB94H/KYQ4r5aB1RH6m5s6jlpM8vlb1y6qv9ts3sQGJdSxqSUZeC7wNtqHFO9eR9wVEq5UOtA6k11ucJTwHtrHUsduBf4UHXd6j8D9wsh/rG2IdUNNTbXps4zl5sBZi55u/solSSOAlT7THwHeERK+d1ax1MvpJR/I6W8U0p5H5Cg0ntCuYS6bl9GPRtcg5ovV1FzZg3V1RtIKReB71FZSqZQn2NTz0mbl4EdQoi+6hvNTwD/WuOY6sEU8FYhhK/aeOwBKuvjlYs+iVqycIEQokUIEa7+2UulGdtIbaOqPSnlH0gpu6SUvVTOL09KKVXVGmpsXid1nrmElHIemBZC7Kz+pweATd/oES40Cf0bYFhK+ZVax1NPhBCt1d97qPSz+WZtI6oP6rq9JvVssAo1X16TmjOrEEL4q43xqS5lfjeVJaubXr2OjVHrANYipbSEEL8FHAR04G+llIM1DqvmpJSHhBCPAkcBC3gV+Gpto6of1YPrXcDnah1LHekA/r7aQV8DviWlVFs4K8p1UueZNT0MPFK9MR4Dfq3G8dSLe4FfBU5We04A/Gcp5Y9qGFO9+I4QogkoA7+pmldfoK7bq1DPBmtS82UNas6sqQ34XuWdAgbwTSnlT2obUt2oy7Gp2y2/FUVRFEVRFEVRFEVRNrN6Xh6lKIqiKIqiKIqiKIqyaamkjaIoiqIoiqIoiqIoSh1SSRtFURRFURRFURRFUZQ6pJI2iqIoiqIoiqIoiqIodUglbRRFURRFURRFURRFUeqQStooiqIoiqIoiqIoiqLUIZW0URRFURRFURRFURRFqUP/H8bSUaApHmcOAAAAAElFTkSuQmCC\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ], - "metadata": { - "id": "Rx8muKSIrKhe" - } - }, - { - "cell_type": "code", - "source": [ - "import numpy as np\n", - "print(x_train.shape)\n", - "print(x_test.shape)\n", - "print(y_train.shape)\n", - "print(y_test.shape)\n", - "print(X_train.shape)\n", - "print(X_test.shape)\n", - "print(Y_train.shape)\n", - "print(Y_test.shape)\n", - "import seaborn as sns\n", - "sns.countplot(Y_train)\n", - "# Your code" - ], - "metadata": { - "id": "37kehTG_6Pi4", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 476 - }, - "outputId": "a0bb388c-a466-460e-fced-f2de381c6d70" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "(60000, 28, 28)\n", - "(10000, 28, 28)\n", - "(60000,)\n", - "(10000,)\n", - "(8000, 28, 28)\n", - "(2000, 28, 28)\n", - "(8000,)\n", - "(2000,)\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", - " FutureWarning\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 6 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", - " FutureWarning\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "execution_count": 7 - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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- }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Model" - ], - "metadata": { - "id": "kWlpCWdAr8d3" - } - }, - { - "cell_type": "code", - "source": [ - "# model building\n", - "from tensorflow.keras import datasets, layers, models\n", - "model = models.Sequential()\n", - "model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28,28,1)))\n", - "model.add(layers.Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(layers.Conv2D(128, (3, 3), activation='relu'))\n", - "model.add(layers.MaxPooling2D((2, 2)))\n", - "model.add(layers.Flatten())\n", - "model.add(layers.Dense(512, activation='relu'))\n", - "model.add(layers.Dropout(0.5))\n", - "model.add(layers.Dense(10, activation='softmax'))\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n" - ], - "metadata": { - "id": "1L07EyQ0Yion" - }, - "execution_count": 8, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "model.summary()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "RGv5Bu1OFgHw", - "outputId": "07a12dc9-5355-4fde-8b1d-acb4b78bc6bd" - }, - "execution_count": 9, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " conv2d (Conv2D) (None, 26, 26, 32) 320 \n", - " \n", - " conv2d_1 (Conv2D) (None, 24, 24, 64) 18496 \n", - " \n", - " conv2d_2 (Conv2D) (None, 22, 22, 128) 73856 \n", - " \n", - " max_pooling2d (MaxPooling2D (None, 11, 11, 128) 0 \n", - " ) \n", - " \n", - " flatten (Flatten) (None, 15488) 0 \n", - " \n", - " dense (Dense) (None, 512) 7930368 \n", - " \n", - " dropout (Dropout) (None, 512) 0 \n", - " \n", - " dense_1 (Dense) (None, 10) 5130 \n", - " \n", - "=================================================================\n", - "Total params: 8,028,170\n", - "Trainable params: 8,028,170\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "model.compile(optimizer='adam',\n", - " loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n", - " metrics=['accuracy'])" - ], - "metadata": { - "id": "nKEZ8cbO9JVV" - }, - "execution_count": 10, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "history = model.fit(X_train, Y_train, epochs=10, \n", - " validation_data=(X_test, Y_test))" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "1MaKobaOL2Tc", - "outputId": "985dc958-078c-4cb7-f40d-d6e40e11495f" - }, - "execution_count": 11, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/10\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.7/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: \"`sparse_categorical_crossentropy` received `from_logits=True`, but the `output` argument was produced by a sigmoid or softmax activation and thus does not represent logits. Was this intended?\"\n", - " return dispatch_target(*args, **kwargs)\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "250/250 [==============================] - 15s 8ms/step - loss: 1.3298 - accuracy: 0.8919 - val_loss: 0.1790 - val_accuracy: 0.9515\n", - "Epoch 2/10\n", - "250/250 [==============================] - 2s 8ms/step - loss: 0.1087 - accuracy: 0.9649 - val_loss: 0.1198 - val_accuracy: 0.9665\n", - "Epoch 3/10\n", - "250/250 [==============================] - 2s 8ms/step - loss: 0.0692 - accuracy: 0.9776 - val_loss: 0.0971 - val_accuracy: 0.9730\n", - "Epoch 4/10\n", - "250/250 [==============================] - 2s 8ms/step - loss: 0.0424 - accuracy: 0.9864 - val_loss: 0.0847 - val_accuracy: 0.9775\n", - "Epoch 5/10\n", - "250/250 [==============================] - 2s 7ms/step - loss: 0.0281 - accuracy: 0.9896 - val_loss: 0.0969 - val_accuracy: 0.9745\n", - "Epoch 6/10\n", - "250/250 [==============================] - 2s 7ms/step - loss: 0.0324 - accuracy: 0.9906 - val_loss: 0.1237 - val_accuracy: 0.9680\n", - "Epoch 7/10\n", - "250/250 [==============================] - 2s 8ms/step - loss: 0.0388 - accuracy: 0.9886 - val_loss: 0.1325 - val_accuracy: 0.9740\n", - "Epoch 8/10\n", - "250/250 [==============================] - 2s 7ms/step - loss: 0.0350 - accuracy: 0.9884 - val_loss: 0.1312 - val_accuracy: 0.9720\n", - "Epoch 9/10\n", - "250/250 [==============================] - 2s 8ms/step - loss: 0.0261 - accuracy: 0.9912 - val_loss: 0.1222 - val_accuracy: 0.9735\n", - "Epoch 10/10\n", - "250/250 [==============================] - 2s 8ms/step - loss: 0.0255 - accuracy: 0.9927 - val_loss: 0.1108 - val_accuracy: 0.9750\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "model.predict(X_test[:10])" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "ow8EPmLbm1TV", - "outputId": "6c3a7274-a894-4ab0-b97f-aa690d69f4d3" - }, - "execution_count": 12, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "array([[1.00000000e+00, 2.93211953e-15, 1.49114159e-11, 2.84451756e-14,\n", - " 1.93307047e-14, 2.94339333e-15, 3.95999317e-10, 7.72121353e-16,\n", - " 4.08826532e-12, 4.78394879e-10],\n", - " [8.57768924e-18, 4.62119504e-18, 1.51340055e-17, 1.61241528e-12,\n", - " 2.05746106e-17, 1.00000000e+00, 1.13241621e-11, 9.04200895e-15,\n", - " 3.18887352e-08, 2.30541808e-08],\n", - " [2.48357574e-05, 1.12001308e-05, 2.03722928e-04, 3.92818272e-01,\n", - " 1.05967295e-07, 7.64773722e-06, 1.27763371e-06, 1.84647632e-07,\n", - " 6.06918097e-01, 1.47032242e-05],\n", - " [2.01063255e-09, 1.85979860e-11, 1.02474486e-13, 3.45650664e-09,\n", - " 1.35222866e-11, 9.99971390e-01, 2.19447629e-05, 2.07919437e-09,\n", - " 6.73326031e-06, 1.03912490e-09],\n", - " [8.61780956e-16, 1.46690506e-17, 2.27635319e-15, 1.00000000e+00,\n", - " 6.80758156e-16, 8.14382114e-15, 9.02035991e-18, 2.17595099e-15,\n", - " 4.75342354e-14, 3.76960858e-11],\n", - " [1.26864066e-07, 1.44780613e-03, 6.18927842e-08, 2.28360000e-06,\n", - " 1.30097797e-05, 1.71351033e-07, 3.96197138e-05, 1.69755232e-09,\n", - " 9.98496294e-01, 6.06198057e-07],\n", - " [3.53877930e-12, 4.63193665e-13, 7.07955721e-13, 9.08368936e-10,\n", - " 4.27772158e-11, 9.99999762e-01, 8.24748270e-09, 4.75054501e-12,\n", - " 3.58215395e-08, 2.47775404e-07],\n", - " [1.03686287e-11, 2.43152113e-12, 6.53146914e-09, 1.00000000e+00,\n", - " 7.65891745e-13, 2.91071861e-10, 9.85545281e-15, 9.26683101e-13,\n", - " 1.39640166e-11, 3.58808849e-09],\n", - " [3.71722497e-09, 1.39818712e-10, 2.40473891e-10, 1.79160852e-04,\n", - " 1.22530797e-09, 9.99707520e-01, 1.50420803e-07, 1.68498648e-09,\n", - " 1.01826867e-04, 1.13638052e-05],\n", - " [3.32459726e-09, 8.44340757e-05, 6.56659171e-10, 1.94900512e-10,\n", - " 9.97226775e-01, 2.82300903e-08, 3.66410369e-08, 1.35221867e-07,\n", - " 2.67388322e-03, 1.47899736e-05]], dtype=float32)" - ] - }, - "metadata": {}, - "execution_count": 12 - } - ] - }, - { - "cell_type": "code", - "source": [ - "arr=model.predict(X_test[:64])\n", - "min=0.0\n", - "ar=[]\n", - "for i in range(0,64):\n", - " min=arr[i,0]\n", - " \n", - " for j in range(0,10):\n", - " if(arr[i,j]>min):\n", - " min=arr[i,j]\n", - " \n", - " for j in range(0,10):\n", - " if(arr[i,j]==min):\n", - " ar.append(j) " - ], - "metadata": { - "id": "_YPcPW22UIiK" - }, - "execution_count": 13, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "xx=model.evaluate(X_test,Y_test)\n", - "print(xx)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "LCqUa3TwlfgP", - "outputId": "16b64b43-9a5a-4f7a-f2ce-ec061e5d8477" - }, - "execution_count": 14, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "63/63 [==============================] - 0s 4ms/step - loss: 0.1108 - accuracy: 0.9750\n", - "[0.11083856225013733, 0.9750000238418579]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ], - "metadata": { - "id": "ml1Kna_DuJrL" - } - }, - { - "cell_type": "code", - "source": [ - "# Your code\n", - "plt.figure(figsize=(20,20))\n", - "for i in range(64):\n", - " plt.subplot(12,8,i+1)\n", - " plt.xticks([])\n", - " plt.yticks([])\n", - " plt.grid(False)\n", - " plt.imshow(X_test[i])\n", - " plt.xlabel(f\"True={Y_test[i]} Predicted={ar[i]}\")\n", - "plt.show()" - ], - "metadata": { - "id": "qioZul7_uiYq", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 765 - }, - "outputId": "d42396d6-99a8-46d0-8f9f-635105075bc7" - }, - "execution_count": 15, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - } - ] -} \ No newline at end of file diff --git a/Assignment 3/A3_211154.ipynb b/Assignment 3/A3_211154.ipynb deleted file mode 100644 index 27407f1..0000000 --- a/Assignment 3/A3_211154.ipynb +++ /dev/null @@ -1,409 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "VGHh_5UYzKpV" - }, - "source": [ - "# Assignment 3\n", - "\n", - " In this Assignment, we will use CNN to classify digits. \n", - "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "JnsMbCPNzPAr" - }, - "source": [ - "## Importing TensorFlow" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "HRLTw3cMwvi7" - }, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "6Ji7HGpgzSPi" - }, - "source": [ - "## Get the dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "id": "oEW3KDEvzIHL" - }, - "outputs": [], - "source": [ - "# Import the dataset\n", - "\n", - "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "id": "F_sRU9dx_mYQ" - }, - "outputs": [], - "source": [ - "# Split the dataset\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "id": "rbt0WbW6sDVs" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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IOxAEYQeCIOxAEIQdCIKwA0EQdiCI/wd2tzSxEBZxwAAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Pre processing \n", - "x_train =tf.keras.utils.normalize(x_train,axis=1)\n", - "x_test = tf.keras.utils.normalize(x_test,axis=1)\n", - "plt.imshow(x_train[0], cmap=plt.cm.binary)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "EVpQheoVqoEG" - }, - "source": [ - "## Visualize the dataset\n", - "Print some images with labels." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "id": "yF1Nj63Bz9m7" - }, - "outputs": [ - { - "data": { - "image/png": "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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# Your code\n", - "plt.imshow(x_train[0], cmap=plt.cm.binary)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Rx8muKSIrKhe" - }, - "source": [ - "Plot statistics of the training and testing dataset \n", - "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "id": "37kehTG_6Pi4" - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "# Your code\n", - "IMG_SIZE=28\n", - "x_trainr=np.array(x_train).reshape(-1,IMG_SIZE,IMG_SIZE,1)\n", - "x_testr=np.array(x_test).reshape(-1,IMG_SIZE,IMG_SIZE,1)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "kWlpCWdAr8d3" - }, - "source": [ - "## Model" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "id": "1L07EyQ0Yion" - }, - "outputs": [], - "source": [ - "# model building\n", - "\n", - "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense,Dropout,Activation,Flatten,Conv2D,MaxPooling2D\n", - "#1st layer\n", - "model =Sequential()\n", - "model.add(Conv2D(64,(3,3),input_shape =x_trainr.shape[1:]))\n", - "model.add(Activation(\"relu\"))\n", - "model.add(MaxPooling2D(pool_size=(2,2)))\n", - "#2nd Layer\n", - "model.add(Conv2D(64,(3,3)))\n", - "model.add(Activation(\"relu\"))\n", - "model.add(MaxPooling2D(pool_size=(2,2)))\n", - "#3rd Layer\n", - "model.add(Conv2D(64,(3,3)))\n", - "model.add(Activation(\"relu\"))\n", - "model.add(MaxPooling2D(pool_size=(2,2)))\n", - "\n", - "model.add(Flatten())\n", - "model.add(Dense(64))\n", - "model.add(Activation(\"relu\"))\n", - "\n", - "model.add(Dense(32))\n", - "model.add(Activation(\"relu\"))\n", - " \n", - "model.add(Dense(10))\n", - "model.add(Activation(\"softmax\"))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "id": "nKEZ8cbO9JVV" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/5\n", - "1313/1313 [==============================] - 66s 49ms/step - loss: 0.3331 - accuracy: 0.8946 - val_loss: 0.1358 - val_accuracy: 0.9579\n", - "Epoch 2/5\n", - "1313/1313 [==============================] - 65s 50ms/step - loss: 0.1065 - accuracy: 0.9684 - val_loss: 0.1023 - val_accuracy: 0.9693\n", - "Epoch 3/5\n", - "1313/1313 [==============================] - 63s 48ms/step - loss: 0.0770 - accuracy: 0.9768 - val_loss: 0.0714 - val_accuracy: 0.9781\n", - "Epoch 4/5\n", - "1313/1313 [==============================] - 64s 49ms/step - loss: 0.0602 - accuracy: 0.9811 - val_loss: 0.0734 - val_accuracy: 0.9782\n", - "Epoch 5/5\n", - "1313/1313 [==============================] - 62s 47ms/step - loss: 0.0492 - accuracy: 0.9849 - val_loss: 0.0651 - val_accuracy: 0.9812\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Compile the model (add optimizers and metrics)\n", - "\n", - "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", - "model.compile(loss=\"sparse_categorical_crossentropy\",optimizer =\"adam\", metrics=['accuracy'])\n", - "model.fit(x_trainr,y_train,epochs=5,validation_split=0.3)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "ml1Kna_DuJrL" - }, - "source": [ - "## Predict some images\n", - "Print the image along with its label (true value) and predicted value." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "id": "qioZul7_uiYq" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "313/313 [==============================] - 4s 13ms/step\n" - ] - } - ], - "source": [ - "# Your code\n", - "predictions=model.predict([x_testr])" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "7\n", - "2\n", - "1\n", - "0\n", - "4\n", - "1\n", - "4\n", - "9\n", - "5\n", - "9\n", - "0\n", - "6\n", - "9\n", - "0\n", - "1\n", - "5\n", - "9\n", - "7\n", - "3\n", - "4\n", - "9\n", - "6\n", - "6\n", - "5\n", - "4\n" - ] - } - ], - "source": [ - "for i in range(25):\n", - " print(np.argmax(predictions[i] ))" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "f= plt.figure()\n", - "for i in range(25):\n", - " f.add_subplot(1,25,i+1)\n", - " plt.imshow(x_test[i])\n", - "\n", - "\n", - "plt.show(block=True)\n" - ] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "name": "Copy of CV_with_TF-Assignment-3.ipynb", - "provenance": [ - { - "file_id": "1asGptVW1kSOD-sm44G3PJr-Ad9lPwQFR", - "timestamp": 1655806641912 - }, - { - "file_id": "1D6ydyPPCMxckA2UNfQAfoDNQMednmPXO", - "timestamp": 1655269145670 - }, - { - "file_id": "1SOXxLRZADUvtLiTygZYTHBTZP2l0W_jT", - "timestamp": 1655267663630 - }, - { - "file_id": "1nTfv0Eyv59_cvAq13soX2DgTp0t4G6M3", - "timestamp": 1655196024245 - } - ] - }, - "gpuClass": "standard", - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.2" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/Assignment 3/README.md b/Assignment 3/README.md deleted file mode 100644 index fea6a3c..0000000 --- a/Assignment 3/README.md +++ /dev/null @@ -1 +0,0 @@ -Use this directory for submitting Assignment 3 From f188b5967f933284a4466774d6ea3a28659daa25 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:28:13 +0530 Subject: [PATCH 17/35] Delete Final Task directory --- Final Task/A4_200526.ipynb | 1321 ------------------------------------ Final Task/README.md | 1 - 2 files changed, 1322 deletions(-) delete mode 100644 Final Task/A4_200526.ipynb delete mode 100644 Final Task/README.md diff --git a/Final Task/A4_200526.ipynb b/Final Task/A4_200526.ipynb deleted file mode 100644 index 7d3480a..0000000 --- a/Final Task/A4_200526.ipynb +++ /dev/null @@ -1,1321 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "A4_200526.ipynb", - "provenance": [], - "collapsed_sections": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "TPU", - "gpuClass": "standard" - }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "## Final Task:\n", - "This is your final evaluation for the project. As decided, we will be predicting images of people into three classes: `without_mask`, `mask_weared_incorrect` and `with_mask`. " - ], - "metadata": { - "id": "rtI19Rt-H7Uc" - } - }, - { - "cell_type": "code", - "source": [ - "import tensorflow as tf" - ], - "metadata": { - "id": "c2CiXcHQTbX8" - }, - "execution_count": 48, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Loading the dataset\n", - "Make a copy of the dataset given to you in your Google Drive (keep it outside, don't put it in any folder to avoid inconvenience). Ensure it is named as `Mask_Dataset` or change the path (the variable `data_dir`) accordingly." - ], - "metadata": { - "id": "QKDPyiZTIm1c" - } - }, - { - "cell_type": "code", - "source": [ - "# Mount Google Drive\n", - "from google.colab import drive\n", - "drive.mount('/content/drive')" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "hNEMe7XsIjrK", - "outputId": "73346675-ee26-4377-e0cb-2ebd53615236" - }, - "execution_count": 49, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "import pathlib\n", - "\n", - "path='/content/drive/MyDrive/Mask_Dataset/'\n", - "data_dir = pathlib.Path(path)\n", - "print(data_dir)" - ], - "metadata": { - "id": "8CXzo4MOJOl8", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "a03adde1-eec6-4312-f3ad-0ddd28fddb39" - }, - "execution_count": 50, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "/content/drive/MyDrive/Mask_Dataset\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Know the Dataset\n", - "Most of the code is written for you as you aren't used to these libraries. You are to go through the documentation for your benefit." - ], - "metadata": { - "id": "YHPHkGyDKscK" - } - }, - { - "cell_type": "code", - "source": [ - "# Print image count\n", - "image_count = len(list(data_dir.glob('*/*.png')))\n", - "print(image_count)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "PzbSy-vXKjD-", - "outputId": "84c54bc3-d136-479d-c87a-f15926a45880" - }, - "execution_count": 51, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "9002\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Print Output Labels\n", - "import os\n", - "output_classes = os.listdir(data_dir)\n", - "print(output_classes)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "rFHWFYj5NCVm", - "outputId": "42d0294f-4403-47bf-c70f-a455973b7764" - }, - "execution_count": 52, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "['mask_weared_incorrect', 'with_mask', 'without_mask']\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Plot count of each ouput label\n", - "import matplotlib.pyplot as plt\n", - "\n", - "count=[]\n", - "for label in output_classes:\n", - " this_path=path+label\n", - " dir=pathlib.Path(this_path)\n", - " im_count=os.listdir(dir)\n", - " print(im_count) # list contains labels of all the images belonging to a particular class i.e. 'mask_weared_incorrect' or 'with_mask' or 'without_mask'\n", - " print(this_path+'/'+im_count[0]) # printing the exact path of a particular image\n", - " count.append(len(im_count))\n", - "\n", - "print(count)\n", - "\n", - "plt.bar(output_classes,count)\n", - "plt.title(\"Statistics\")\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 421 - }, - "id": "fESyMw90KaxN", - "outputId": "8d29abc0-94c0-4920-e7b7-f0af00cb2fd0" - }, - "execution_count": 53, - "outputs": [ - { - "output_type": 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Check some sample images (Use of cv2)\n", - "import cv2\n", - "from google.colab.patches import cv2_imshow\n", - "\n", - "for label in output_classes:\n", - " this_path=path+label\n", - " dir=pathlib.Path(this_path)\n", - " im_count=os.listdir(dir)\n", - " image = this_path+'/'+im_count[8]\n", - " testing=cv2.imread(image) # 3D array containing the pixel values\n", - " cv2_imshow(testing)\n", - " print(\"\\n\")\n", - " print(label)\n", - " print(\"\\n\")\n" - ], - "metadata": { - "id": "HDSJ2Zk5a14s", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 656 - }, - "outputId": "0c600881-4789-4f88-89a6-b7e44149f12d" - }, - "execution_count": 54, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "" - ], - "image/png": 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\n" 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AxNDx9cvzsi4gIrlogKBqANBaff70hRDHGLdlcbUiYmrLsuhQMGvCtba5tqlQK61NRQpRVuQRmGGvKANmTayWyiJEgsAIlHGSeZBF7NYzCDAiEImAHCnzpXD/Z+sbkTFrQOC9gPF2SH/dAA93Bw/3rInG2w0wt/t5B9h/IqY/yGX3cABgJPj1Sr39FfvGZNBARPcNQA8mJvPwkY5EirRah3kEDYfhLgG1tcPhwMx9jLlN27SqAwaICKs6Ag4dblZK3battQYApoYBZjaGVSkICMRcWpumuUjNu+mBHgxIEHiv9SASIGVUek/EdneaF98R8/qbKgDsgQfE233PPcC7zwzIWgIwM0R66UgHSHt5cj/3GAEO4eFZOyHKCp2HeyYEv3Ebb54gD7m7AyKC054s7xcnS633Dbk7lbt1YgIHDHNTSweGgJTu1UHVi4hIPZ7Oh+NxmAEAEc7zIYDMXDImU1UIIKLb7fb8/Kxm27aZGUas6yCiZV0JvZXKxO6xbZtjoJTGDaBGOCIwUS211ErMSCRcmBEAVc3ds4CcNUsCLKUUEdoLD8RSREo2YpAwixfw6wF/K/eHh4ukidt9rd8fBCBAJg4IvJt4IgoId7P9w5P7W0Zh2eBEIiaSIh6R1Qa4+4ZMHTAbdUoAWQkbGUvtt85smudSZ7rdtueXvm6qJiKnNss27HK9rduyLB+++Xgs8np5necDsbjDGC5vUVoa3KHjtizrsvTePRw9VFVEcofcw0zHCIIAgjmNS643wVs/CzIMD8gKtLurejAws+/vG81MmDP0vPeDEQEDIk2+p9nJInOmPZlNZOiSncI3g7/3S+7mO/Oyfx59Rnheqv+D9b/HZXSvieyrca9n3yu4CERBGG+3582dIJKZjeHuXko5n8916HXrl97dYZ7nIDbzy+VSWyulPDw8vLy8vr5eEUnerKe7uZmbL7fb8/Pzuq1ZRMl3SSQQbmZb72jMDFKkMLdaSsk27279s9HhAeoB5kUoIjwC3XGv9RMCenZDmMKd7mYhD16am1yO3UrsGwC5TGpmuQf35ADgbaXw7tjhzcrfVzzj3nhLovfsgShr5ebm4dlYwCxm/ybKyurR25+6e6dAQGba+rYs21CtUkorZVj3l/F6NaA6z8D8+np9fn5utRHh+Xjc1u3ZXpDx1w3IO6A6Xl9fn5+ft3XLV89bnB/KwlRVwx2ZiUuVVqsUJoQMge5VTwAAB7QIfstKIvA3pbS9LJ8dxd27/rqUb3HOb9c3H0I0DwsjIqBfg5zfeoI9WPptFgZxX/3dbv02AIU7ksX9bQN+9ey/cfL423/llU08QAb76jHMzdXUCXFqbVU3Mx06xuBwut/1qbb5cFDbTVAEBDMjxLptl8vltixqVvdyLCDife8Z98ybW6m11lqKECM4ERESZxePKe0FQZbTwcwjgGjPenBvghER5f367VmOvXb260/PHuObsUD33S/e92a39eERe4a8xy6/2TxEemuNRdhb9Pl2S/YShe2Bmf9qz+7u97e7vd8Aytxzao25OuDy8npZrpuFAszzwdZ1Wfu2rKN35tnMlmVh5lrr+3fv195lP/sARWS4vb6+Xi4XVc3F+M3xzNuKDCBCpdbWaivCQrBjawDTWVHeAkLk7N5EZFWeItA8t5EQsgVW3B2IgDjulYx7UefXo5eN3f1CuOdNQsS3pBZ2TxCIfg/F+J7n/TNrk6v8m6sAZpZFiPsNuDeV9wTyfrHuB+efPRAIKEggBAhFBInUrG9jIBpymAsxF4lbLMtiN8/W+vE0c23HNx8QEcRkZp9++fT1+Tmtv5sRS5pdg6C7uRSmUkqpIqUwEgcQ3qFVuP/azwxh7FEGvd0+2AFPpYgIs++5G6OHoyPsZefd8N9NsN8DQ49gJmLJixL3eifsPULKtBVx96OZyQUQEfg97zP71UC9nf39e3sNDh0y1PjVV8NvvMJvbwAiqbuquzszT9OkDsuyvNxegeR4fuBWL7fl8+fP67rWVh8ezrmrT49PuwmCCARc1+UvP/zl65cvGBAQqs7Ie40wApkJhRCQ9jBXmCnbFMj86wpzNuzyAxImuul+Zt0BgJhbq6VWLoVhb3R4RKgiZDOAI/EfTIQUb2kqIgIyMTHHHUOR/8x3xURhwURvSAgEjHD41dSRKkB4VtDSSuXJ/2e1qYi8APu9/E089FtziAAI4RHqtvUxxsDI1Eciom89T/gdgCB7AOLRezdAItxNECJCxPV6++mHH79+/fL08BQBqqMIyw4yQKQMhjMYcIK9REZMJYE7/OaFwdOVBaIQIyXsKgI0FCCY8g7VREXsDXt3jyAAYmEpQZg1bWaKTFPjfgLzB2PiWByBMSIbEITZnqTsXIFhQIATYNBuHi3AHIiyfZmBbkAEUi5u3MPb3TmnjUZCJAy7m6P41TuG6vC8iWNs27YNMzchnqdZA5bb0j0A4ptvvlEdr6+XdVmGKnJZlkUyuguIABxdl9tN1VQVgLI6RUjb6A5gYMONAcCFIASR6R4oEmBhEFSwrkMICQAC0UyKiEgRyaQ0i6C11pLwDOYsPiMmagoQEQpHqUDiLMEUQkBIEBGWjTODIEZCQnc3CDDExFIQAAvlpXG3oaEGWRQKjxBAFGKQAFAd4ZHfAwgIB0P0vDt3J+8R+/IDBoLvXiEAgXa0KiISBkcIITMBgA7tfQDg6Xz68nL5+vKa8Z9IYZZ17cu2lMD5NN1uN0GgAE8nCYFIUkodQzHgrYCzbhs2ATcDCCRGrixNuBATkrlpgFMxiLVvZjoVmbkwUkQIJR6UM9RL/GGrtYow5QZ6BCITMDEyAgCLkwBPTgJEwUSStz1Ah/lAdBIhojCzHgDBUqQURAQn4QkRzVTNR2AgEhOAmw8PFxQqIggWDuGQtY8ACEMPhh0sB+HgYWEAYBCAxgG/8ehISE7hHgTYaoFtCFErdZ78tqnqMhSIRcP72Igrozw/vyJmt5oAcWrNzOXeyc5sCZh4j//27N2CEBHNjJBEpDLXrCIgJlqL0Cx8GxtiQC0MaGYjEFky1w2AMH8rnHHaeBG8w+SACeVu1gGQCIRAhKgAMwiRIJFnbCIOyMHCBAiEEg7MZQfZSTh4ICEjodQZiCKUBQHco+jo5o6EjgAiiZcIiMSCsgWkS8+SSZomdw1HMmCwcIM7suifGyK84wx2SEzEUB2vOtWmB395uXofxNLmFhHbtukYQ3WajhJ5C7PwBcEsiOjhZm6JnSdCyGqWAwRns4X2K09MjBjRuw5EZKESrOpEJrlfUokpO+f85r1LA2IgTj/LzGmpsuxOzFiqAwERC7KgMDEhgAeHexFGZsoQU0TQgVmYK6FEgCkQETAGClIAChEEmBkmwBQR3Y2Gh5o5uAX4sIyT1QLIww32mp67WQSOYe6OEPCrl/5nWUFG3sxEmAumqrd1HB8eGGlZ12FeW21zFREm2sYwtR0ZmGG0eyBgGmsbqm4WoWZqhgAMQR7RLdAIUBKUk2hZxnDqQweqeXEIQ9Dssba6Nwt4bxSzCLME4QiHcAEChGCkIlwLIAICsyCVTQEpUQt7RI5AgY4JMU0XmoEgARMnMgIjwdkFIISIjDxyMTHAkEmEEQk8ENXI0cPMA8kBTUcQekAgOIETeIAhBMBwQ/DYUcNguQ0eHo57ZRuIsBCVPd5hjHTJ6xgW4ebaO6hqrXWaZxKprRLxr6WIjLZEBBFV1SxxSG5uiFilgFuoASf4vTQpjIx5FIgjTSkRIAMgMlMp3Jp57JF/KSRCRXD/zWDZPUREoiDye/7lAbiHHS7MwnuzAbNZiEFMWTnB2NEoGfsCZMBbgBkAyJmM3C1r6hQwxmbDRBACHRmEGAg9UAyY+hbgBLr/NAAMtIw7zdQtMur0TAAdMgQLCEDIGIIdRbzW2lqrpRTZbtdLd5inJlaWbd227Xg8no5HEp7mo1pIFr3S1xMiCTuEqkZElgLcHRmmUsMGmzcphzYdprnVVpgQ7N6kQiSGNOjIJAVrQWFXZyasFXMDRIDudlLEmADCgDQAfAcJEgRRECEyEiU0NHYk1V58wdgLfMBIRILIiZMCQGAC4jxSjhSJLcIIBA0NN8+EOmP9PAqIzkK1hDskpBv2+OeeZVMCvGKHWUCEv3WzHSMvroSLeCllanWapqPpy0+fusXhdC4FlnVZl9yDw8P5oUzzjz/+LPnBIqvARMRs7mpGAMxMe/co243cuJ6Pp/PpdJgmvleKTNX308weYRCFGYs44XAvRYgZWRxxMwXzoCAUYmQINIxw4dDw4hmqEwMWDyIn8Ds2IYN1F87mG4SZq7kFkWSvJjxs7/dq1pS79j56mGqYD+s6PIwQu2lEqGoGwAD5314Ekkvj4YZhAIGJjUNkxuy2WZjvm+CJs0OACGIiEg4nUmGswlMtw+fC3EeH2BEeOsblcgmA4+lh5jLGkNhxIQHZUiGKCPUoO5YeMYIB+tYnwvkwn0+n0+FUpIR5wgaGDvNRW3GI4VE0XDCILXAdilzcoY+hi67bto3hYcKltCJSssRVpU5Tm+qU6UEtd2whGqFFEIS7OaAZMYsUYlcdvbuDMBJQAN/xP2hDs/6+bLfldu1bHza0j21sgCjMiBQQpuoAxIT3xmSptJNvPDtrkQXDTIYAPEzztnuARsSeZme7NFGZe1mBkUqRauXd0xNdbhYBEaUWNujbphbnh3cPT3Q4HH7jA2AHLbyl8AlCDo8AGOtWW60ix9ZaqQToqgOUmcYwdeNWBdDDh7tiJPy+q0HviNDVbrfb6+vL9baaD5LaplJqIyIEaHU6HefjfJrnNk/zPEW4t8qADBDJawy3iCAycQcWU+19RMBeIYyw5IEBDMQA6mNcL9fL5WVZb733bX+GQ3BhIgFwkVpbKbUQYYTZMgiDAAmQE6aHKJDlAySIcEREgzDYW0B5UhgIg1AYOXsPHuBESBjv3z1SKV9eXgHxeJg94LZsqsPcSqtPH95Lmk1CNlUifHx6ulyWw9QwYi/R7NVHPEzT+Xiap4n3nB3dEMKyH+nmQVRam6dDLQ2R0vt++vxl6FiH3m636+26rJtaZ6l1qofDsU2TMHWLrW+X63po7Xg4zm1qlR8fjtNUp1Z3vioCp9Uz24a6OyUKyWOMEY7ZktUIYwbEoaaugEgsSB7Rh8dlWbe+pbmQQrVo1VpUeUfQGFIgADoI0VyptMrE6JDoAZRSpUi4qi7ruq6b2SDGWlsfoxAJ09SqxYGLBODz68vabb1dR9+mw1lafbneTqfj8fwIEP/rf/7PUpu8HX4gklLbPEU4CoW57/n23okWxiJSWAjC1EEVwR3jeDhx5Wu/XS5XNUNgYjbzS7+NbVxvV3VTi7VvW9/UnIiEC0q9bNt13U7Hw2EuRIDDAEbEMjZtjYpQuEF4EQGMQGfiudZpmtS8946IEASQKQtot9HHCDcEYLYIM/MIM++9X9ft+eUydDjgunXVGyaCs7U2t1YLMZiPWqWKCDJhslwjCJFgDLMxMpMMCDM3cwhgLszkETFG3HvZ0zRJrQF0XZZ4ueTWuquZmFkpRUS62svra5tM7jVeF5FpnkqtpQoi+r3S6BGOULKiIJwFGzcFMyZgoQAYar3r2rfrbblebodpriIJIVezUmubD9Pp5JGO04baOrbeR+YGjAW8OEFisQsJAKnaGL0UIaIIHaNDAB4P8zyXInsQnmBLc1NXHUN1eIBQIHh4uLqZqo6hfYzRR5YSVG3r3d1FxBCwkFR2j+vlMs8TTTMS2LC+9hvehBkjGGk3SiKICTxNQCgxk4W6B5hiMACUIo2FWcydiK/rets21W4B4Z45oZkhYCnym34AUq211ppFlfDM6jH5mZldZL4qTKHme2Wfb7fb2lduUqSo27Js2vV8PD6eHuZpplIOx9PhdORSLKyrde3Pr6+fP39m6UxMwuYxhgYFRBiXqABA27qFZ94sCOjD+uiEMM3z3BoTedheL8gdMPUYHoFRkgGfln+MEeEi3KYpS/t1antJfGrTPM+H1qbqpp+Fp6lNpYJHX9a+bps7erjaPE3zNJWCAiRFEMkgbAVzCzAiArAdygURCFWEmTVcI67buvR+WfowJaJShJlBXaQ8PDxkKeKfpdSZ31rCsnlHZRLxXm5mZmHwsNBwM7MxhplNZW7znByjwzS9Oz+8e3iaD8c2H+phLq16xDA1iAC4revr5fXl6/O2LBBAEQzEiBwIDtvWw32FUQqOPnTY1GTHEZmN3lspe2kYA9ADPCADYAvz67Y6oJqv67qufagDILNM85w2R1o9HA7H43E+zlPG0xSm49uPH4QIIbZ1vb1e+21V1VC1oZiNMyQvDohSS3EfY4wxzKIUBkBmEmEzM3PzgSS1loeH84feL8vW9dmGiUhrrdQ6NKDB8XQUh92Zx6/6Cm/tvX1bAPYayN60Rn6L3rZNAaBNE1FhLsfD8f3T04f3Hx5OZ0Ey81JKkdrqzIUT1+EIx207nE7TfLi9XnwYuie2BYbq2nWY63DdCGy53pbL5XCap6nUWoqI0F5vcdqZcvfC4bDRt9E/fXlGlkgjpua+NxCIiJCJpJY2z/PpdDqejrVVIDBXKHKaJ/QYva9cKxadRribqg9db0vfNrPYtg6AWbZCKVzcbPQ82ojM6A5m5h2lECPO03Q+nc8Pr6/LMnwNKSLCxKUIOkKAZB0jAAzukGNCtx0e4hEY4QCqZm4O5rgfxa6aNBEkKFJPh8Pp4WE65JliiF0io5Go6ri8GsRIc5222QwCaq3LuKkZAjKjiEznNpVSGK+XF+2Lan9+eV3W5eHh9Pj0QMi/6U0hILi7mQ7d1m3Zlu3Wt225yTS3NtU6R6B7mGM3p6HL2petb70P7b33ZVsPx0mqIAYjcZE8i4xYRQpSuCtRB5znYKLeu6oCwDBN0kObJ7NyfX0NNn9reEagO0QwIlFMrZ7mY2svt3U4E6Jk3QIIzeyf5QFw5/HEb+AemfYpBSBmNd/dbdt638hRCh9O87sPHz58++Hh8RGEwCICVK1m11Lk88vLX3744Yeff3q+vKppae3dh/fffvcdMy/Xq26DEalACULmVqfHh4fzoS3n09iur6/PX5+fl2VloePpoGbb1pmpCKsNNVXrppv2pW+327Kso9cmda6H+SilRYCqdw3oIzwQw03XzdX6uq6X6+VwaGUqXLgST1IbJ5+88MQQAOYqWrlbmbSN3vsYGuGaiSGQFBHxsW4euoPv3BPClTk8Bhbh+TBN01RumxFTov9YhBAABAASMQZ3ZgsRA3liLAHCPBA8af51arU16H3tfWxbkyLS3j09ffftN+0wIZGbY2Dak3Bflu1//P/+ww8///zzl8+X26JhDsG1fHl5WbZOiNu6nQ7Hj++eTueHmatt27osX82sz09Pp6mSu12vt74t2jXjzd43grBCdn/c3C1URx+bqk+HAzMyAUKoee+jD+t9LH1be+99jLCh7mEBnhkXIVTkx/n47vTw8ePHp6fHIgIOBCiCGFAlcdbhHmOMl+vl9XpRHUhQazk9nm7LxcNVFZJbjgwAY6gBCss8TVObRG4ALIVYGAKA0SMkU4Bsvjkgs9Q2dYgyVTALhCDcBsyIVNgJhxu5I3Op9Xg4fPzw7uPHj4d5dgjdNiJqbZ6krJfrn//8lz/96Yf/8vvfa7hM8+lwQuHrtt76tqzDnLrp1vXDh8PT+/dPD09kfrXeR4+uLH7S1qrM89xqXa6EDj7M+kixEg8JD3DwbrfbuiybjnBDMw+PVgpCrMt1aFjgNrbrugXxdDqjWr/ebtt17TpcNcLMTY2HnpC+eXr30w9fj6fjtx8/fv/tt/PUdGypjSDChAAQzGxuEbosS+/r0K0dG1ZxVQXP6i4gQxBTCQAPEixzmY7zyZFfrzdpdnx4pNp2eDoAILBZDHVkLq2tfZHKOlzDudBQ03CDGKZL36bA4+lY8fB0Pv7Vd9/Oh9kjZO+0FEa6Pr/+4Z/+6T/9z//wpz//8P6777798PH89F6mtvTtl+ev9vo6t9OH999a2Lpcv/3u+/cfvmlF1peXbj0o5kM7ng7bWFs5MGa+CwwAarYNlMJB5AiOGLR2uz5fl3UFJMYaPvq2fWwfudShF8Sopa7akejp/Yd2PF/W4V++riTaBwEWZPUYffDWj0FzO3z+9PJP//Uvv3z7NYyeHs/uejzOQmIZGbqaWaulyMNcyteX58t29e5GEQShloWjgGCCVmZQG6pgWKgc55nq9OOnT8XG47unMk/z47u3TDjBAU4sRNx735bFLERwLjzPMIYNG0AhhSryUeqx1YfjNE0NEVwNRUotCPjl8+d/+i//+Md//P3l9fX908Pf/O5fHM4PXIoGKMnj6VzbPB8OQjiV+TTN58OxloKwM+9tbBvTqKJu5L4ty7YuHrZ3zpAJKDwzPDNzHQqeIDuhIma6rLcYNs815uMl1u5KDodpevfw4FxuaxckYWGEgJDk8wCf2uHffP/XT61++fz5D7//py+fP/9//of/4Xg8fHz/9Hd/969LEXRjRmRK1BEGVeE21WM/frk9m6m6uRs6MjKyQ5C7mRpo7GhFd0Z8fDij8BgDdTw8PgoFBGHerOPh8PDwcD6fv3z9Zaybg6nGADs06YumQAsjl1JOp8O78/k8T/M0AQBSYpZNiHtfv3z9/Pz8tRB/eP9R7mgsIXx8OH9/+r4dj+eH8zfffTdULy8vjHh9eRV0wng4nXSTULu+vD4cD55JhhsRFSmcTdCk/7r3ntlWH6ruToylSPN6uby8fn3uS9+2oRFYKnn42J4/f6rTqVjMxE9tmtmcGEkMYIxR1PvtdYsJwVrhi4/Pvzz/8pO+fn1k8n/xu786HmYRFKYIT4Z+FWnzxKNsMWBsbhFqeHeluEOAXE3vmlEOgMfj0Snrr3Y+HAVgByJn36+U0lorLKMUJtShY4RRtgeQKAkqUaucT8fzYSYIZq4gt+U6+oBitZQP796h2lTr+/ff1DZPpyOQaESZ2tPHjw9PT/PpdDidhGl9OL++vox1EZL5cChPj9b7ttzc7DRPCLAuCxEn90pE7pTuMPMxhmo2t9XNgJ2QpjJ9eHh3rI2QSApKkWk+DrvcFlP3ZSGSh6mejyfmwqUE0tL7elt0ucFtsRFN4Pvv3r9/f1xut+fnrxD28vXT10NBeKyltipEiIEODIxFeOZ6mA+OYJs6Zfkvi/8ESAah7gbhe8TcSy2OuKoleljwzsDSodu6XF9fRx+qamaFEYO31Tzi1z7I6IpBCFMrU6umIwES64a9d/MQ4d/99ffffngvxFObAfl4OiPzZgNYHubpOBVB8L4pBvmYCzeoGEHhriYI8/nMTOE+es9mRWIAMgpx9yTx7kJ8v3kighDn0h7m8+l0AuSu1tXYB00zSu1mBtgOx+l0PsxHqc0dLrflcn3ttwpjZlczRWwiMsZ4/nq6Xa9E6D5Ue64+IyAEgYMbOBJiLaUqr4yYnTaKLEUFqifk/U4pWLeVaoMAjGDAy+VV9lwXEQHcTMeY29Rau768DgNhEgIEYAQANx3K3RgijBCIgITc1cKLsJv1PsDjeJjrw5mRw2GotSql1eoMxIfKBRxtMMay3tblhogY2RwfProgzNPcauljrOt6ud76tlVhBAhzxR3RnQ3BpCgRot0pL+g+tq2vPSaXKhhhvccwjkC3iYikTLUeWp2nwiJmIZNUb4MNXXRbVHcSgxUgOB8PJTyKkIALgTDsqEc318jmhxCmEJ4QpxZFZMfz18qCZe98WZaKqA4OiICXl5fdBEVEqeWEp6d37/7u//R3iLZebtfXC4MTJZcsmbIGYYSBEGZqOoTAtJuZVEGo7qZbB3BhEiK3IJRWSITYBYkLAurw6KAirhLe1810CJEwCZOb3i6vV4tlbNu2XV5eRt+qHAAx9fcyM1RLmAiycJFiZvlVjADA6+ViQ0urQOQBwgwGt+ultqnWQj6iLwrmyBYRZsUV0c02ISsTJdoMw0+HGgcBc1NlCgIDV4sdDR6EAWgUVEiIayle3YbvWCMAgETEqpm6GQKMMXCMdRuBdHQb2yZ7MyACAVtr33zzzb//9//+fJo+/fjjP10uEMCERNEa1MLCVISqMCGYbmMDJ4rwRKRTkSmaMxfkysKAjpESi6lXiOGgY2zr1nsAnB/Pj4fpokODapG5TYi4ret6u9229euXL32MsW3CWKSUHdkKCBjuafeZBFlKkT44AMyNAY/Hkw0daoGDRFikFimV1Dq42tgQXdHBBmH2WgAiGAbAIHZJuSgDIRJpRLgt67YFEWG46cieJRFF7PmuIYGHENciw1XtTaQLiBkIh2mS0SIiwrdtUYd3OhBdYOf+YB8d3KfW/uZ3/wJ9/MePH3/44x8iXJgL+5RkjMKliJSEroyOSIDz3NpU1czD51bKfBBkCkBzM+vbZjrMwiNqrYIB7uiDmcftqggM0Uolph3Zuq4JFu/rNtw8gllaqa3UwilwgFllyjruzswhykKWewyzLD6zyNa3dbl1HfM8H0+HbdtUVy6IKExOxAzEmJaCgmofq41tpLgiSTkKB45tI4CplmxOWuxE1QQIePi2dXeD4WG7JOywCEcLKNMBEXR0d0OMRAeqalczs5I4OACgAETiwrXW28srI/27/+7fvT5//cf/8r+He5vr4TC1WnOTpzoJc3ggwOEwHw4zC7KOXAIhZiByQCAGLKUkXzEp/n10CJBwVAe32trheASWvm3LsriZu2/bdr3dwn2MEeZRdg24WishqVqqlJhqH5oJ4DzPfQy1AAZHMILuxg5UeCpESB4GgdNxyo4KETgYpGIQYyGEwLF5ZQ4EYVKm8OjrogCtiJm5ap1Lqc3dR08BTGVmLnKYp3XbdOthamYBQYRIQgCttdfbum7bMOtJVGqtj6HmVVgSnv4r8waSCoPn4/Gvvv/+mw8f//LHP451czW4C58Ky9zaYT5MLQHmBSLGNgwsxbiC0JPzrBHmVPhXzTwPBEhVBAQU4SbCiKZqvfudZzHG2LaeilhBSdHZ4atJyA1THcOGeoAjllpSWAtBDQIIgymlG1jortwU5sEstdTAxP4DYmS9yy0QolaGwABxd1Mxs3BM0ocOTdxU7OwSAQBTVTMAJyoZC5laFjbC3dECyEzVRoQjhoO5e5hBGOcF8pDfrD0iopsx0XQ6v39693h+nErVZX3LL3L1T8fj+XQ6VpGEtpml2MEOKAsIh7AItXA33MkoedyYuEi2bahyYWZT3XrftjX73ikhPMZgZmEOxBSNzm6Mm0G4jb71bQyl1FBE4rJrOg03IABGZKTCpRUhdoRI6V/XrpEC00S8iyMkODacSRAcAh2DQAkZgpIay1J3YJYFMUkpJNw7jnXVzRgcEIuUaK7mfYT6MAygctvWtW875xAACd2NEFmECML0vgERTCREaSykydymViSBEbW2aZqP8/F8Op/PD8fDca6tMIKaqVKRIjXVMCDZENmkigDI4jQwAiMJcxWuRYrs+t1mrqq9d1NzSL0AVA9LLRLEZMNkSpmoHAzXoTqGqTkSm3hEZSakQAIbjh6JK0wdwVKD0BiCYww1tdTSLDvaBImYAMkDVDFZEeGpkJtKxohYCzuEDY1UcxImYI9gVXXTPiiXKgU5GUAxeyt99KEjW1s7lBixlCq1IAS4/+YGAGaAEWbh7G4ZaRSR8+n0eHp4fHh6enx3Pj200sJjmIcOYRTmoLs8pHk4ogf5jmxEJiSUbJgxVyGhFOxGG7r1rm4RgcQE6JAVNgYWNYvUO08dl4isdWdMTZhWxawPLUNEUiPHU1ApsRyRaFUSZiMkFqLhbohId91phDvxKwCDdoyaY2SH+leqNgsCMBhmpxARUUSmaSKidV12YJ45RHCiygzMdWcv4t5wrFWIyzRNSKRdId42ADHC1ZwiUtvhDvrFWsrhMJ+Pp4fj6XQ4ttoCoHcjM4zBVMYY67rCXTIAAxmo0g5dl1pQmIUKUsEs5MQYQz106FBLOdtgRA8122HVUrfbFcF38v0bLz4ckivIQmSmNlSxdxYWqQCQSu0aHjveNQhARAqWGnFoWcYwM/O9L+eOgAGCNFGFnTOa1DAHgHACRndIv5poFbMkAnJtiZMAs95TIjwSehruMUxDChcGpiT3tNYAubmree9b+L0jltYA3WstWHmu0zRNU5taa2hepLQ21TYRFXdQtxFGbhyOlbTruq27LC4AIxMhs9RSqAhOJbKGeT/F2tVthFp47BA0YgDsEeY2kpVC6B6EIUiFhYnprjGDCEnwFhHzSPSDiCQqG5JxFhjunKhzBwIsLCRsEcl4MKJhSMa29/oQA1UNY1eSME9YQgAGGogA5WeAu9dOb1ykSCGYx6DwravelxPcx1DL0ywihOBgrdThLkyJVvpnLcnUHyFmCiCmIjIf5tPxZL1LkfkwFyngrr0PwEoMvoeMAAEBjEyS0hFSqTSWUgoUMkanSNsRd+ltjFR7FCRxJAeMAAvvqtsY21A1B8IkF5ZSEsoRGBDJlNcIT0xRnujee85+SG5KKiIiQipagxqxMDK6QUCKu7EIqGnILodv3m8jFREzz1BXgAAkRDAPEt4ZuAgemcFFDBOCFNMspTQ33ZtGiLRTfhAx5RzSn5hpXpTeN9Mh98UHoZ3z5TrGGEMVA6bWjIiR5ja1UtysqzERtAmRTMe1b7WW1pqw1FKLFCbme1Mi3MPQ9/5mUGoAS+FSCICJ3GHt2tW6+TBVG6p99E17L4SVqUjKqggRh3uAIYK5WR4uIkPI8QxqxtnU0F0bliBcOSumSepB5sJz4C5j4OYZ8vahYJF9RMzGPDoGekrWM+owUEtHQ5JdojD3MQaGFUZGkCI1Wh9ONJipRqWCy9AIExYRgQBH71tXDwhw1dAh2UBLnhghsnB0Xa63yuX7b7/749PT8+cv7x+eDqX4WJFwmqZGoNY9PAcGEHBlqMK1MNFOriSKhDUyEiMQpOhgMJDwfVwJInoUztb6AB9m2xiL9sVVi8hcZG61iBBSCju6U4ADMVA4EhAgpZCnmw9AIUJz8DT0AQYjeCNGMSHDIgzZWIRdBDfZq5zcj0qp3ZuMGpK0aUwMSafcOxu7iEnCSMIREMgio1VuEzb1bmBhxDQiCmANFBGpRd0o2+VmDBDbJvesCF3VwAgrCy/Xfj4e/uZ3/+K//G//6+vX5/cPjwVBbzeq5TBXdtsuF3CrSFMrtVJhaIUqY5505iSmCjJRCvolVji1s+/6wxkAtggypXXttgFo2AYwGI2AK/MuyBWQdTdyHj5IKiCl1k8QBYSBURCTcKmMlOGAAUA4Wx/GYh00gEBc0lUlLRERq7Rapgi3rmFg4AhIQUGASAipU73L5AeAhau7hwIACwNxIA11MBBiKdiKrZuNWMOCAkVKAeQibZ48Yp6nsfVlG5WI1H7NA3Z9EPOIkJx0wQlWLO7at/5QSYjG6GN0HSoI0qgIFxERTv04xJSLEpGSMgdCBd82AFK2nJLVDowOpkPVLS32/hsZUnGLAjBgF/JA9KCct5AqFICe6FANZ6YgwhwVQYUDIiIDWiLyiK1vWRGrtabgNBERCaZUABIkCpEJWEnJTS30Tl7JO7FHR5lY3y1VRPimbp6yywzmGEiAGOAeo5tJIFNpVUQ8gIGAQ0UK4VzLb3BBmPfSc2OlltbaNE2lFIcYY9A8I2Lfuq4LDJVW3p6deF0yuWFmKaUSF0zG3V2QKUlEb2RVQ0t3s6zrbbndlnVdex/qFhxc6yR1ktKEK0tJbfsIBhwREcAWDjAgIhw87d09ak/gXnZxstlhEToG3XUXYNdRxKxZYmYMRSiChb24m5COrByYu8MdJ/j/90RAuLppKAJZHpoMCd0sMKQUKWXeeq1LHwqOEagawtCm32wAIUHyURATBiq11FaRaIwRUksp7nFdr963iYWYs3n5JgqXahBvkQvtGgc7ApqJkl+YlSF1Ux/Lsry+Xl4ur8tye3293K7X3ntEsEibpzZPbZrq1KQIF8LUEtagcAIn5xRboYwM3VUVgbF6BJYiRSQbyRm/uhvtEnIEoNlUSSWXTHeZs9wNGEBuzKhmZhTmkXLTSPf8/h67RAA4MaJDgKkqBQb43uCKUHMKKHkiaedAWexqetM0CezI0F1V1cIZGfd4ADOSWrYND62Uojoul1cJP54fa6mtNd7txq8CM4m7yzO453jJVWeG2KHZyaRQ09ttfXm9PL+8rOu2rOumhsit1dN0mNqcq19b5VJ2CYowd8+3hXVnLoAOMzeLbdvptaVkxi/M3FrJogbRzv7M9uUe0gMxIUtBQo2x60QRUhAwoRmZsrt2cFcgwggIy1ApG4/I1EQIYlg3NTMw2/l/RNh7D8AQyblYsQPdqLV2PEyH+fAbgkaWB8OBAJNUEKlVHdu2EVOtZXndbrfl1GptrdRSa0WzN73Ee04Ne/adqHdC2k3ifki33vvoajZUL9fr5fVyvd7MzDySSXyYD8fDkZGzGV9ak1KSLqg21CxZwY6BbCxCnUfvw6yrono4mTnATgqvBaSWIgULyz6zLdyytAe/1T5xgBxLQsSEgExkTEq7ldGUNYjwFJPY9SQwICXDQsk7mKnlCSfMNNMB1ExjJ5f1MWJ4ZTmdTg+Pj3d+AOx6/ikHAIS7rwcIhNTLFsk6rcpxbq1RGhdEhrhPx8iN2C/E7sAQHcLNQmOM0Xvfet90RMQ2+u12W9dV1ZCwlkpIgVBqlVLRcwlrbVNphZEcAgcnm9MjssCitkseeO+hGgHuoerr1uNO1wIETBGcaWJEMAt1U9WRJBpXGwAEnH8nGwMRHC0w+WNuGaXg7jrwfoEiws0UIkTIhWyA77rVGAh1aibiSAFILBHQtw1GzMfj+eHhw4f3v5YiIMDBYUdzU9ZKkpoENlLfLW9ypkZZfCtShOBNGjT/LKWwTdJtEdTNNVOebetdTVNyz9TUdoEKaZWZxxhqlhpQQIhcpNTSpjY3IXYI7p1EYF3NFFNPm+mNI5A6RanVo6rmptbV8z9stqngTJUhC2mIRKz5DmDPUFIFHZlxF8MKJAQHskFgAIDmFLua3S4x6L6uS7JIKJFjHugBQBFAxAaoQ808jyw6MNHD6fTNxw/v37/7TSkiMquAyBmE+b6YmDkcM3zPPlwKD7kOd6c0B4S/PrsG4j6CLS1uFuzWbe1DLRwBSHgnYIlU4WmaRHjdxrYNoqTKpaSZlNbqNCMxo+dOu3kPQAKPIPC9LpQj2QKZJW2dDvOUxgJAhAioNpgzSs5qoVSWfY4YQg/LblGOFtqNaeCuR04cCXe+3/S9OhjWxwYQwgXvaxy4r1kf2818AGyqESHMtZaJy8f3777/+PE8HaS1lrHttq7h/nA6RkTfuhCdTqeP3357+P0//fz7HzOyifChiojzPI81CT+IdxHNbHupmojftdFDtW9bX7dl693UckJYVhyvl9vr61VamVprrQZAcXJHVe1dTw9HKU1KEylYK9QKiEQrR6SFREd3D0emUgsScqovlzpBQO/9druu6818IEKtUmtdV4twESlFSymtTiCy3/+cUJFbBckTNvAEbAYxsXMfY6+fEnIy2nWYKSKOMQiyRsuqXYd54HCzcBIuSGsft9uNAqqwmyHCPLfeV1FVYh6qSNRaS29ZpybM63rrvY8xLGKMnrwyTinmlPh3H31IE5bdSeY1cjMli4AxRjdd1/V6u219A0ApTVDypEgKdBC5ex8KgGZubsPUzfroQCC1SKuACEMhvC/L5XLZtoF3EUFEIQpmmSYUEQC8XTdEJBQdo/fVzc0CILVxi6r2ra/rVkuJE0x0AJbUES+12f3mAuA+bszDwuHOvPC7SEpK00SERSLdQ7wgQyB6gKXz8WTSY0b58zSTO5kd6vT9xw8Px4OPLr332pqbZbK0bRsC8Fyy3Uw5bZDocrncblckrK0RcURkVzPuoiV5BeCuMxVjJJn09Xbdet+2zdySGk87OgAiove+9q6qSEQkarb1PsYQxMrl4eEJiC0w1uGmbuO2rK+vl+V2g4hSRESIEWPXpBMpiFwaERGbdu28LWrDd64nSa3ItPZt3fo2hgFaRK1t53sT8f0jZEwIecnUktTzJlETd6OdajbdFAAIPSgc0BENwB3MImcImiphPB6P2+3a3Z7Ox2/fv5tY3PtOfiul7DJjBOCQUimH4/Hjt9+8+/jh+ac/ff7y9dOnz5MIcw5T8ZqUSeYUJ2Lc5SoBINsdfejaty9fvqhbmmnJ0VX3eR5JbV/X9XZbAUFKBaCho28dIF5fr8vTumwbMt9FsSODqD4GxD3NYSzEwpxZGuJ+RMboJEIsGIZEnvdVFSBKa4DYx7gut3XbMuGvU7PeY+/uZ/fBI02Omnui03fJrMghQPc5uV09wpENHRwxkB00qcTMEiRum41+nNpm6qM/Huf3DyeB+JVyNE2Tu6/rSoRVSkDc1sVGB4A2tVLry9cvv3z69O50ovCMJuthyrdi7tEtSLAIpTKfau9j7WPp67IsxFTmuU5NSgWAsedNRsKH06kPTQ29UicWUbNt7arj9XZ7fnk5fv3aeweAjL7UUpzQwu16G+ljW63T1OZ5atWJNFAgsPfetx4BIqXIxFwiYF1XZpzadJjndV1fXy/X63VZlsPhMNth68olR3UJRkanGu5pevYTsxPBdr6i3anKw43NSwDgruRpkAowYGrbum3rCscZ3JrQt++fvnv/ZGMbmwndtUxfXl9//OEvc6sf3n84HNvl5eUvf/7jjz/85cuXL8wMRNu6riKVKQPKqUrvg9wLAjMR7lpeZtr7uC3LsvZhKkKlltIqibibjqFuCRnL0KJIS/Nd2sTCpi4yxrZ+/fLl68tLm+du1mptrYbhuvTr9frly5fldhtjuBozzvN8Op+P8ywsCMzS3L1rH2NDjHnOvanMrNrf2rmtNVU3823bXl9f13Vt02GeJjocuAJCmA5XA0RmTuKx+y4F63cNF4fQCMVQj27eAjAn4QJ6UAQM081s3dbR+9g2Rvjw7vGvvv349O7h+ZefP339soehvfeff/rpv/zX//rwcKqtPTweVPWnn376y48/cMC3334TrcyFsuBDKQPnrjoUQoTf/K+5j2HX2+12W/pQJ5iPB2EGIh1jjBzS5CylSeldb9dl6Nirx7uQvu2l/IDbuj4/PwNAnE4AHitcX16/fHm+Xm+EcTwcj4fD+Xw+n4+11nDv63a7bb98+mUX0qCYplJKaW0qpRECs0T4ui7ZopnniZlTK/t2uz0akEcKSjFRBuVJmtxnQNwrOQ7mqaOwVwHIILuYgQgeqG9w3MyFMBBh9I0B3j88HOdZt+3y8nJ9eZYxdJraNsb1ejNVETmdTo+PT6H2N3/zN6fzEc1xfcXzCW8vODSR73vhyMwQjZAs9W5QdSxrv16uWx9AXKSKSGAm6K6qZgEAbjZ6Vw1ELGmpgQhT3B4QuQi0aVLzry+vQ3Xdtqm1iFiW27ptpkalzIfD47unh4eHuU0RsS63LJW7O6EQIRdqrWWzPm05Ikb4GAORcsZ9a0V12tY11Pq67Wgai6lVZiRAN+/WzTR2wqjbHuCkqB84kiOZxzAf7gyRO2HuGkEshaDVhm4+9FDLNx8/zJVfv/zy+uVLJZTb7fLhw3t7fXHXqU3H+VBr2bYOTP/tv/7XiP/tn/7wh//1P/7wt0/vVh3L9hXBVX3oUC1gOToPwlAo0YexbdttW83ieJoOx+Omm5qZZwVBmpC5j6G3y+WewUYERti2jKFq5sgkzMfD4Xa7Pb98fX35Os9zay03HsI/fPPx3eMTC4nwbVkurxdTzWD//PRIktlDTv1EFjTzdd3Mx84xCSfChH9l2/n88Chcnj99SW9PgYVQpOUAkXVdc4Cr5VCEiOzW73OJIvA+s8PUgVzBNcxc1U2AmahNtXCM62Wa2/fff/f4+Pj66ZOHPb17J4fD5Kpuerte1tvt6ekBIJZlicDj8USEgfTl6+W7+dAt1q4hHIgWsfXhGBRWaa6tuttt3datb304YjvOZZ6cYFhY4h/eWAgZkLjumTUTuDsEQUi2RkLdrUiZJmE+JPoaCLjKcZqnqT4+PE5t6mO9rsu6LjqUkNpUIVggsDAw7Eq3EENd3TDCwpipCBERAKuChxI5Ebd2EK59GzbG1jvAJbXRipTUTnKDcLdhNlx9aFKF3QW4EXYdrEZg5OaAXddtrN01yAwGAiI6EhzOx+//+q/fffwIUnoAtTqfj/JwPl2vr5fXl59/+vHTL5+E/y8JpDGzT5+/vry+/PFPPzy/XJ9P1xg2DApjEAOyhZeE62AgoYUt2/JyuZrD4XyuxzmYb6MbYJAkxkjvao8kMnGiPXc1et/hn6Cmo3dVc7BprufHEzOlfSu1zm2ap4pMi66qvVtXcKwspaDIZuO2bmZOCT9MUCNhQkwDI82GSNZlAdCISEq0QkR8OD+Mvqzrumxr9mDO5xMhMksWNoaaDR1maqqJlC2lEouHWDA5hjuoRjcfhg4SBh0cE4N0enz85rtv6zytpgOQatOcqL319cuXz8/PX6+3y8vL63fffX84HF5eXn788cc//PGPf/r9H37+5dPfPJ1rlsmQhlrX0UorrU6tIOM6Nnc3CBKCICDScDBVfRu8iBmg7b1JAcCUklEijKB9kFY4AIGU7BfmgOEEdGT9q49t6Dgc5tYa8SS11qERvle83cNgdA1E9zBwCeYgCnDa6/fmaI6MBsnwIUq3SkTDhpTSEMYYl9s1Owq11iQBQgpbIe5S/BgBe8K065LHXalfWKqQKppndYQQikgTyfwTkUSKsfTRBQDWdf3ll18A4MOHDxGREJcc1th7Nzdmfr28HiEEMBz71pdlmYRgqneznGB9ZMrJq4WJbFf/YAzYga2MkhJ3uwBLLVzfJBYAMMC8uJV4k8FLhWm66/tnMwcdBSXPt9V9dpGbjxiAqYibJV4zME9mdxBAMBMQZ7SMgGbAwJDJa2CAlzoT84Wuy7aGR2vtuA969YgIwhTSUHCzfdohIOzopojhSsGU48QiPFyBELAw1UJTmwpJDnRCCCYYw8Tdc3Tw+Xw+n88ZFCeG9P37932MKoLr2rdLI6ilAKO69aFqqhEOgSyEHNGBkGphLqUKs4QHc1CwOzjmCUqIMSGCgwuLsNiORHAEIq5vQAQusuunp04roJmOob1v2fSvtTCXZLKq9gFKEQJwmFu47ZGKa2YnWR/JSm7CUQKCAh3MA8xxx5UxA2FtjUW6jcv1ikyttQz58yZnTmx71uNBCFlzVhd1EYcgQiZ2UE/l5UpcCIsQReja3R3MCFAB5OvXr1+/fmXmb775JvPhiBhjPDw8/O53v3t4fHw6n+N2+/m//m+ARiLIGOC7Wh4RMxcRCnAwdg4Ekn2WACNAQQoJA0uGBiZONcd+QBiom4clCCqbx7XUIpWZpZa9v0mU8rvhpuZjdAQstdZaiFh1MA0lFlJhjdDDcY5Qczc1s+H7RIxItg8xvolwZ0PLEdSRiFubDTwA5sNs9nC9XC/rDYXq1IDQzZDYCQ1cTTW5AzkvClEjhjnnkdwxVoQIwlyIOXtjgaGm65YyxCSFROSXX355fX19eno6HA7LsojI4+NjrZWI9P6MMUopEKju6EEU6q5mCehIcXJ2FhFwBOZdC55EpPjIKxwJfN+nLWRH/L4rqTrMJK1VAhIoSMjIQLiPXQViFKjSgrxNRCRSUr+76yikoww3N1WLUSfZSRbubvWtgJNTu92dCBMKgfuAREoIcxB1HQRY5+lMNMyur6/Lttk+Cg4IwRF2uZ0ITkl4REByoBHJxQT1rF9gAmIzfYDISSThQwmACaUWZ5Zt20Tkm2++YeaXlxdEzDF6r6+vP/zww48//fT18+cff/rp+8cH7Nu4XcfYXLAxrr0svZ9tDkQgFBAk4tgnCHo4URBTX7tr6NCevJ6RO6qmmqLIv9FCq6MP62bVpNXZHIUZhZmMSSioELMUYeFSRIABDJmDhIjI2Q2lG2gfgX4XvaV8OwAAQOZhAW9Yq7e5Z6l32U3VTIgqkbRaWsUbW/g2BnPitCAQLLz7W9OXAMmRnCTYA8kSoh+AgUS8Z2XhKTG3K/a7AzERO5Kcz+fT6fT09AQArbVlWdKnXa/Xn3766ccffgj34+n4V3/9u/76/FnHNjYNH+5r9h3SpRIxV9ll12O4+Y5qxWQiunvvfVmW23Vdl2W5Leu6ENHUWm1tmuZWa21harZpL51rUbXSauEqhYnIyNkYhSrWgNAwUAgNC4VE1ypotz762pf7POcso3nOTIq9nulI95kiscMPzcPBzT2vY3cz1UCUWoBo7VstRWoNJh9gHhqOhCJETAGUwsXoBfZhH+nxmHivRZADEwvn0Bfcg2Dz1Vw+fPiAiDlZ/ne/+92PP/64jzpBfP/+PTM/nM+s+lDLL3/5w/XyMvpG6MRlx17sgXbG3RwIQ91HD3dEEiKYqlBEhAxGQDPb+rYst+v1us/QyPYy7I0MDTU17oO5mEXUCK8snHwPB3N1dc06i7tZskwBVHVb13Xb1r6lHY69fuNJ0/WdZ+yJzqs5BkEECRPGUGopjQHRwoepQ0gpELGNTsJC++xJC/dwBErKFQaFM+6oWAwk38cgAwEjp6q4cqmlNhYJQEsgfh9LgEzTJDkAHeDjx4/fffddBnwi8rd/+7cAWIQLwpF5u75E4Lp1ZCgPp9u6dB0WEMBETEIsqR+sZvckpc2HuVi3lM4/HI/nh/P1+tC3McY4Ho6H+ejusgs2NkQavS+3pY+x3bZtHSuvrbX5cDjOs1AS1vehZoCIgaOr9t412RbadWybZnfIIvl8qehqFrs/2/rWtUcEl9Jaa62JSGvy8bt3Qc7Mh1oKHzDgapaU8DZNzHy9XpPuu9yWwChFSqkGAQTDtA+l6ozAREjoBq7eSk1z+3iq8+mMpXo4ShmqfetWagZ5e+Ccjd83XEkpJYsHDAEApU1caxAZJjSJ1j6WbTM4kXB2uHKwn1TJy7w35tCBcwSxdSFENN8zSoBg4lbKNE3z4VRqBffRR+9920bs3Da0MW4e67ZdMOdm0Jt4Yze1obt/T9TXcGaupUkRIFAd67re1jU6EsRhrk9P79X05fLy5cuX5+eXh4eHv/qr79+9fxKRpMaYe872kFKAduRf1p+76VBlYRaWUjFlW3fd8wTj5PjzhEzGNrqpldJOD4/np6epVV22dd2uy/Lp9fKnT5+F79OldjBP1j7eJqVF5JDJTT01KIMwEDyglHq93V5eX795/0Qi4JbjL0UEmC08PIb24Rbq5oGEVIiEkDDpSb98+vTly9da6tTmaZoO0yUbc7GPxigsLEiE4Tq2vpkHJhw8WUx7uudhO87N1TXiOM1S22Gep8NEwqa6LOvl9npbVzNl4VKLu0mrpVQ1f3p8+Ku//u7h8bT0q6Mh4l1/L0opUiljQjNDpHXblm2ppR5Ox2maIOXxA5npjcizsw8QIqCrunlrDUvpFuvL5dNPP//8l798/vr5p6/Pf/zllzc5nx1QFRF5y/ayc3JNIsz9eDpP8xwJCAZo87S8Pn/5+nz95sPTwwkR9tdixAB0G6amNsYI3QmqUqXNtfW6aTW3vmoq5XhYH93VkhQKDkh4Pp0Id+E/ADCFCANI3CsQAhMyYRikk3ezMVTdVZVLH9u6LjXV+PvY1m3dRmcRU70tl4gglu+/+/5wOEzzVKqY+zRNGpqjGdw8I7TK0lobyT2KWG/LclseHx6Px6PUss+5UCOKfapIYmPuuJz0Cur4cl3X8cPnn3/+/T/+05//8PtPnz+9bt2Y9hlhsDPfOLsitvfo99IHEgXa4Xhs8+wA3cwj2jQtry+X6/X55eXd07nVUkl2/GzmXERIYL6ZBSIGOxNLk+kwqSsRz7MzSeGkrFKqDCZdgplqKVOt8zSlf0oFndinl3KtdVdMGNp7HzpGH25malvvsMWyV48gIgzMIixsmiYSCldmPh7bu6fH4/kEhOu69m07lImRIgDMETEzSslWd0S46xjbsoytE1OpJefYYITr2OmdGDkMg4gowii4CFCMgC+X67re/ukff/9f/8v//suPP15vVyc5JjQxK12/WrrfgHxoD13F2aVIm2ck3pbrMONSamvWby+X1+eXl8eH8zw1TDTgzrPDIAACB/Psg3HxCBIstSLwelt09Kxu0U4bQxFOidZ5mqay4+N3pJtZBve1lDZNb9NWtk3GGF06E9bCbZog8WBvmjaJvAcnodLaNE/TNHFlxCS9wmEWC9z6FgkJA2TmwlJI8K5pmzD6oSMBBqk+GfcJy+D2lutl7ZaZ1MIAgiKIuvvr0r/ebs/buiLS4cgkI4Vb4TdPOuR78XH/CiI5KSBM81xbu321ruYex+NxgC235evXr7XKcZ6o7IQHJETftZaUNBGr5g6OwzQwkKE0kcKFCidtKVAkw6VWSyHIehunNyql7CU2JIAgolLK2zW98xTKGKu7AjozBNynySememfrK4KabbrEGKNrB4RSKwoPU+Q88shICfvYRXlVr9fr9XKBgNN8mEolyGmBYWbmI+nBSZbCO3wlEIdaQBQuiBxEBmBAzpLuetidJ5z9xXTFd8uDEaFmlKl6hAEeDqfDfPxp9GVbt9Hfn46DXG/X5+fX42E+tFqniUV26rmbhgODo4/QMBfnHHMSGEjBTJ6D5z08lJHBlZ2HExrMUvMthFOpOfhz5yKojnCvtRDRYGQCVRJGYewEW79Eei6EAKBwgrAA85gOU51rUqqRqFQsU0WCxDDvzMz7vKe3Geyquq7ry8vL5XIVkaenp8PhSESmChCwb21qr6DlvK8IdzRzNQ1Ahr1gNwI298UsIiiJor+1OWn6MxLNRjkzk4iFuzsQ1nkq89TN1227bf13336shJ+ul9frdV23dTNkReLaChIP21RzFhOAuZt5NgQYJTgACckt6fGOyMQohUuKGYhMU6OElWEAZhRbcqgKlwMUQWaIqKMDIeJIHQ9mrE1S0j5xJIjBqU3BBQhUO3EyZCNh5rGDy3ieGpIkkC2hQZGyIKOP0V9fX15ent9//PD4+DgfD+qG5jlYIyOCtBuwZ9wQjm6qYwDJG8fcCZELlZrATVeTvNrruv7888+999/97netNTNrrUXEp0+fvnz5cjgc3j09DQc+zPPjgzMv6suwZfhUp/n8qNvt6+uVuH0jH6ZDcadUPS9SdahQqWwKCm+U/YR0ABBjpEgABQlIg9JQCrIgMjIVZkYmJ+xhZpilIRFGlqAAj0AwgoGu4Y4BAmQUSA4OnrQlfJv/OtzcPTEAWQ208IBIL0QQtXARTsWBCAME1X65vPzyy0+q/eM37z98/FBrcbfd1OzCzs5IjmjhFuAQFjn30SqSBXjfBOE4TZQIR0gd6IIBIiJZpfnHf/zHr1+/Ho/H0+lkZofDwcx++umn//Sf/tPHb775P//7fy9CWOvh8bEeDh18U/96vb4/HU9P7/u1Xm8X//I8zYdpPuqAPjoyzW3eYoUSrru6sN+Vg2iPltPlAZADWaA6jkAKhBGKKFQIhS1imCI4IxSu4kYj7sQDG6491MICPDgl1ZnuehIAAEJIHLRPqnckCPAAS2BDEngC91oQE0C4mbqH+vV2+fLl09evn6dp+qu/+u788Ohho49AzJBXVW0YEe5fyTlw4WoKAYWZc/qQ2aEKmIarhYbvk2cle0wAsG3bL7/88ssvv3z48KHW6u7Lsjw/P3/+/DkQh446HUJjmg6nx8f166d12y7X5Ti1w2Hm+ai999E/f/lKxOfTqZTCXBC5cDE22GeM9ohApH2Oajik19kdfqhZ14FM7BwcGmoD0JJKixEhrjqAzYQICfbJUjn0DyxSAj5ptzkkN3I6VBY/c0hSmIOTeYR53LlZRMKlNiLO7mNArNu23pavXz89v3wtlQ+nQ74HIAxHC1fTYTnyLsAxu/cR9xGsadxyBiczIfXeXY0AhMUQshGyR0FZgNu2Lcsdb5DFdV2v1+vheNShTBSIp8Ph/dO7P/zy0+VyeSZ6fz7xuWDxItKXfrtcX0TuLRlKXg4CEwmSACqEI5In0slTECYFxSM81B3ACI1hFDE3CLXdtiIBYSd1hML7j8hRZq532Fo4hLlq9r/2AcQR4IgYdm+cRrjbHhoHACMxYWoGOuSAvlDV6+32/Pz8+vxyW5aHh4fHx8fD4VBr1XB3UN3JZubuloL14FlJeBsp4RAWILvYyP2sE7N4JNQXJYP9eZ4fHh6yI5Y5AdwZskQ0T1Nymh2gtfZwfojA6+VSI7bvPpgbB5RSY2hEbFtflvXOmICM4tOpIoLfh4erargzUv6I2CerOQB0REJq9W1CDARkVo6G6O61lFobEZb9lAe4popBEPau+2DmnfUWO7V9JyLf2Wo70p+YIsdQWlp0cIzY+na5XF5fXtbRSyk57UFaRWHUXFjvqj1li1JYJLIK9GsLOcItnBwJAsNNVbtFBCJCYMp05QAHnKbpfD7XWtd1zVIEACTPxN0z/GAki5BSj6ezcFlvr1fE23Xdlm1iKmXiGUZft3V9fXnBiDa1vTaxT4KRnduen9Md4E5hFXnrlAG8+elkGrhamN9lrQDUfOhQM2ZWoT1XAicEJgIQKTVXG1LtHMD3pty+F7GrbaQ8GwZSIDsSRlgq3Obxf3293m7MeH58OJ5POVrH3IfZ0JFjyXrvw4YDpBhJdiP3zpvaHa2Yd3NfzPxo+fkEed8AokTxye12U1W6k34TiHD/XwJAZjkejqfz6fP1VdVfXy6v53M5HSqx1Gam22156S+men44z/OcuUWu6Y47S5o8gJMJcRblAYCS/fEr6TXiPpnOwc33AdaRusWqERbBzi5vHCkmAiy1RjjunEPYW/JZM3DL1gMkbxx+5VMghCBCgKrlbIfbchumbTqczufD4cBFAOE+NMg1I12IbG/DzsPIQqjvbTFT2AMFRZD9Q0Wkxn46qsT7QwoAttbWdX3bgLdKdR5hSqQq8+Fw+Pjx29dPn4nw5eXy+fB1EoZSm3CR2nFb18Vd07MSS6keOeB4jLxPSAyItFPZ954OIbHcM3NCc8t5tm+WHAh4Z6rRPj45IjMdAaIUykLI0bLpA3z/K/zOLN3JjkxpovJ+qBsaJeto3dbXy+VyvZlZqXU+zNM8Sa1Jzcw8y+63FZGIEcJ2UDQCoOeZScl0BEoYM5MUkVKSXWEOICwYJGn3e+/pCb58+aK7T9u1qRLJnUQMQmKmaT58/ObbP/3T7wX89Xr75dOXY5vg4OV8aO1gar1v67ohvHiEB0yHmUUSnwiAEaBmYwwmIhLzcHPiZKrvXSeP6DqQCCAnK2HiQriglPLWwADcpcIAgixn6VKO19xP3v3OO97zrdxrJIr7HOtdVjv7oeO2s6BWJpoPh+PxWFvzcB++DxA1G72PJG+ZJ0+OiAPzJR2TEOzuboVTYMgRoEoppSKSOwATMYfh3g9Ib9laU9VlWZZlQcTee1qMzI0tAJCYS23T+Xye5hl6X66X55fL1+NFCM+nQ5naHL4uS+/9uq5ZPPOI+ThnFyW742a2bZvs6X4oomAObN2FTsJ9BCATk+/C1bTHQomQT10fCHdKQJ0bgDgEYZYUU/9jr6nAW/4DO0wPcbdBGXQGmDuYbut2u92WZTGzubV5nlubmHlXFjTXYeq2DV22rffhHghcMrPFHQEIkaoeDuGMwAjhge6UEJ591C4CciDJ6+trKeV4PPbeSynbtv3hD394//69mb28vNxut9wGMxtDMby1atMELO8/fvPjH/5gANdt/eGXn0Xw6eGhNXOA6TATw3K7XV6vtU3j+SsLH49HVR06mMXHICI1W7a1QSNijCgiCfNfbre1d66cnHvmbPinvNAO8qDEau0M8UAIDFdVC5/mSZUQoYgA0TC1voVqxD6a0dSDgjiRj+gRw8zVEXW9Xl+fX7Z1bbXO0zTVxohh7qo6xrr1be3qZgGRCFoPDGIu5pAiWxkVQQQBEWCRUljWrtfrBUs7Hs8iAgjuvi59brO8Nb+yH3m73f7hH/7h06dPeRh//vlnVT2dTqVWZALz3YMRI0sgdnUkVPfbtl5uixTicGSqrZlbH2PrGyr13qfWPFXYYFcyyG7+G8XYc3r37iOJmdPCaIxwhaC0YObeWqu1OATFfr6RgBFzkqCr7cLGOwDoTb8vhBiJ1DQcgIGYmDi7xWOMbRvrbVEdhFhZhCVrlG+DClx1Z61iyh8hQgAyi7h6pBRZUtH6GH2YDnAL2ivEKZaDuOt5DfWt970nnHnvuq7MvK7rjz/+mMHPuq617soQSJSz1IGQayvzQaYZSjH3bv56XT4/vyDGXKUJcZHqVbayLFsAHE5rqS21aCMQgAJz6B8DUgCqpeqzA4CpA0CmzQAZgBKyIFFOmI9w2zmLGASEQbH7XkJwd3C4xyT7gLRMmTinIno4BHHqcTCE+dC+rmNbt20jpKnV4+Ewz3MtJTM73froXc0i3302qSCHyTEChWdfOsxNR+/rYurZXEoooCBfx6i1AqCaKcDah/ZtbyNu2/bDDz98+fLl+++/T5BoRPTef/jhh8yNgQiZQjGQsJT5dHp4end591X72q/X2zYQfXqpzOCHCebWCuU46nXr6na43lqbdgWJPUPFFBZTtYgeAGAOeycBeB/CFQmTRhYiIURhJuaAGL3vsAgIRnBMlXckolra3sjLjpjvip5qxpoqWpF3K9wNYHRNEMC6rKpaWOZpOhwO8zQhgI1d38WT5nAXIiVmx/S12EfWIyIiXL33PrQLlsM0t1pUnZGIePSllOJm67p1otfr0leTdIlfv37985//vK7r3//93//t3/5tAuW+fPnyH//Df/j9H/6QgUQWVAGApEyn49OH98v1on393Pt6Xbn7bVtvW2MGpHCXcMuBprtKxLYVESZ22PPE3d8CEKKZ6VB3o5xFzVS4MAEFphJW5szwhmg0BwBAI3cFRHBCIAQihjm9N0dgjlNNwfksLieiRYjTvNgYfVtHHzp0bAMzLkESpBzSkfYnk3bEvfSc8kgOYADmNoY6ECJBQBorCGhTfXw4g0PyR1IxSkqN8HXbFo/LbY1szajq58+fn5+f53n+67/+62+++ebp6SntT6awtdaMeyMn+CKW2ubTcT6d6uGIIhowPIZ5V+2dbhjuIpn+IPp97iUiAqK63xmfnjkjAth9KCgTQ4S0wpLjMSVHnyFieAzTXwEc7hhm4DnoHSPtPo6hKScCRNnJ8HACFOTcdi4iUoAg1zf1OzOnAAggz0r9CHe1Yd1MBbmwOEVEDn7jQAwL2FnEQYyOkCKmqibMrZZpast1MdUgGdaz6iMsbr71YQ6UbVUAeH197b1/++237969E5Ft2wDgdrstt1tElFoT1IxM7q4YgUBcgMUzAQnoQ2/bNi+F0ZEqEQRBBslvG5AL95aOp32wewP6rTd3h8s5GQQFAcjON2IK0H2MAwQhOHkEJQZLzdwiYmyj1FprzRwTsi/KzAgWAVl92xVw3bLX704BiekXJkFKWB3uwv67AJVn1oDZJAxzs6FmgUBI5Kbrui3L4uGtzq1UCB/b6qaIYmYsxFzadGARHIMZ4w1KkgeBmed5zvednnmkxkcRAyiMBGIWAAzIJCxFiMUxZ+KtoF3A0WehqEzIqG4BoW5dRx89beevqw875wJhV/KT7O62WmuNrrkEd9UzARJECsS0yAAM7ODkGAig7uFuEX10TAUJd4/AFA4EQKK0pPvnglBVV3M1HcNyGABQkZ3cxISW+oXZvcpu+334r98JI6buUEL1tixfv369Xi/z4XA4HNpUU36VWVDYu03TDCLzPJdSYdmIaSSw+A1eoKppGd8E4MIdiUotqV7BDEHuRM6EItLKdJi5ltVtvd22xYmACNpUpzkwcFg4onn0odswLlbY3F3dCCk8dKi5IYDk6GyWIrWW1motdaIAEmYpnNMqaJfOC4QEzeWweTekfZAy/P96OtfdNnIYCvMmaWac2E4a1EXf/7m2G7SLAIvETmLPTRLJ/aHJvsD8Gknk4Tkf22i7DfM3UQ+cjX17l726rbluXXnbh15qXtZaSgqi4OLblp4mJJETIaqb63ZCwdDZDVpSQ9VcrRrCON4ul/dlmfp+2O12fUy3zyuodl2HHCYsqU+ZsIvSSjUSZkBh5ra1qoUuqmokuk3Tbhj8Cw6CDgEB22lVJYQQQzf0EOR8u76cX//9eF8+r2SgRP3+bueIS45EQrys66oQgJwYiCu4E/a7nZVcy2peXRUQwZhIAoYoKTVEE2MLiMGXJqjqxB5EgoTW0ZppC78LCQBkcHWLKTpSMWNijgKMjlTdybwh41gYCZqhwaq5OhqAW7EiQiAIjA5WDb/ibfy1QKIlktAAcrW51NW0Glbz6226XD7UfH84PDweuxjB1EvpQ7hLUQ2Sa80rJ7y/S7sh8qcjAwBL+1MkBDN7O58v7+8/TqcGPnSA5ghDBwbwWkEVN8+dq9ttnp5f/vz1z5/5ekNTVHidpv04pWFY1SLTEKMqKoasmNV6REd2wpRSJVjXZevqABlJkIUlcoicAkcWlyAhCCCWUswN3IUhpU0+cfdSinl1MAaCwKWyqzJJNTM1YAkxbO+WO7kXM3APJERUa7FctRoYMLAygzhGwkCwoaC+kDiE6GQOVd3AUFABsupqmg2q+vU6vX98zkvZ74/fT98eHu8dPK8Lud3vdn2I47gEU80rCSXBvuMQsQA4oLSi4unbt5TSy8vL379+MdHhcFiW5XK5TNMUQogpmRohBhEDdy9rrtMyz/NcSgHA2HVdJChFTV/PFzJ4POz7vtNq990gCmupH7cxxBBDrOrzusTAsUu1VldFx8DCLacRAm+0TzD3asZELELEiNAIpRv/CtHBg0fIoGqARiKNaoUbq3ED9//vfPpiRW3IuIYAbGsGATCkSOyOXl0JEFEMnZysFTvFslYFJHdnKmYNEzjN5e3tvRYbhu7796enpwdhWMYrlNrFcLgbyGjUURCT8GxmuRB4EFJFc5fmPTkej6fTaRzH379/L8uy3++J6Pn5+ePj4+fPnylF3Qp2aa4ZYY4x7vf7H6fTdBvn8YZWdJ61rOu6ns9vVvPD8Si7exyYY8hTnudlWbPeg5rORSl0kmKsVUt1NSCiwBSZA5MQEJAEJACkjeuxGRtEZLPSNG2umlc1t9IyKGKi7WtfKne7PKCh2IDAXVtgpJRcq5o6tEARMDOSt1mVkhMBAoK6urXBlzYLtqOp57XM0zzNyzSXnBfmcLcbHo+H/d0uL6PlzG67vh/6Li/F3ZgZJIyqCNjFro+pLGaO/wFEd8CxfZbzUwAAAABJRU5ErkJggg==\n" - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "\n", - "without_mask\n", - "\n", - "\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Check shape of the images in your dataset. This will be helpful while specifying input_shape in your Transfer Learning Model\n", - "import random\n", - "for label in output_classes:\n", - " this_path=path+label\n", - " dir=pathlib.Path(this_path)\n", - " im_count=os.listdir(dir)\n", - " rand_no=random.randint(0,2994)\n", - " print(rand_no)\n", - " image = this_path+'/'+im_count[rand_no] #Checking the shape of 3 random images from the 3 different classes and we find all the images have the same shape (128,128,3)\n", - " testing=cv2.imread(image)\n", - " print(testing.shape)\n", - " print(label)\n", - " print('\\n')" - ], - "metadata": { - "id": "jWBEMC1FUfXS", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "5b55569d-6c6f-4eaa-da0f-d561956a4261" - }, - "execution_count": 55, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "71\n", - "(128, 128, 3)\n", - "mask_weared_incorrect\n", - "\n", - "\n", - "1909\n", - "(128, 128, 3)\n", - "with_mask\n", - "\n", - "\n", - "1784\n", - "(128, 128, 3)\n", - "without_mask\n", - "\n", - "\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Check if all the images have same shape, else you need to resize them to some common size\n", - "\n", - "# We maintain a flag variable so that if the value of the flag variable becomes true at any instant then we wiil find an image whose shape is diferent from (128,128,3)\n", - "flag=False\n", - "pixel=(128,128,3) # for comparison we contain a touple\n", - "\n", - "for label in output_classes:\n", - " this_path=path+label\n", - " dir=pathlib.Path(this_path)\n", - " im_count=os.listdir(dir)\n", - " for i in range(len(im_count)):\n", - " image = this_path+'/'+im_count[i] \n", - " testing=cv2.imread(image)\n", - " if testing.shape!=pixel:\n", - " flag=True\n", - "\n", - "if(flag==True):\n", - " print(\"Images have diffrent size\")\n", - "else:\n", - " print(\"Images have the same size\")\n", - "\n", - "# since flag=False hence all images have same size\n", - "\n", - "# The code provided as it is above in the template will help " - ], - "metadata": { - "id": "52BhBWRab5yc", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "3448e4dd-09b8-4d30-b231-7e54db7b9a85" - }, - "execution_count": 56, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Images have the same size\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Model Definition\n", - "Choose a model for Transfer Learning (You may also experment with multiple models and keep all of them in this notebook)" - ], - "metadata": { - "id": "zSoUXS1cRbnu" - } - }, - { - "cell_type": "code", - "source": [ - "from tensorflow.keras.layers import Input, Lambda, Dense, Flatten\n", - "from tensorflow.keras.models import Model\n", - "from tensorflow.keras.preprocessing import image\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow import keras" - ], - "metadata": { - "id": "QKZmIgXMTHfy" - }, - "execution_count": 57, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Choose and define base model\n", - "print(output_classes)\n", - "IMG_SIZE=(128,128,3)\n", - "\n", - "\n", - "base_model = keras.applications.ResNet50(\n", - " weights=\"imagenet\", # Load weights pre-trained on ImageNet.\n", - " input_shape=IMG_SIZE,\n", - " include_top=False, # Do not include the ImageNet classifier/ fully connected layer at the top.\n", - ") \n", - "\n" - ], - "metadata": { - "id": "9xWLUibHRNGj", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "b51bf9c9-624b-4047-89b0-b8a666f36d7b" - }, - "execution_count": 58, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "['mask_weared_incorrect', 'with_mask', 'without_mask']\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Print base model summary and have a look at the layers\n", - "base_model.summary()" - ], - "metadata": { - "id": "J3TwB_GLd7BU", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "e8780c60-3677-4084-d902-9860ba2b29f1" - }, - "execution_count": 59, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"resnet50\"\n", - "__________________________________________________________________________________________________\n", - " Layer (type) Output Shape Param # Connected to \n", - "==================================================================================================\n", - " input_4 (InputLayer) [(None, 128, 128, 3 0 [] \n", - " )] \n", - " \n", - " conv1_pad (ZeroPadding2D) (None, 134, 134, 3) 0 ['input_4[0][0]'] \n", - " \n", - " conv1_conv (Conv2D) (None, 64, 64, 64) 9472 ['conv1_pad[0][0]'] \n", - " \n", - " conv1_bn (BatchNormalization) (None, 64, 64, 64) 256 ['conv1_conv[0][0]'] \n", - " \n", - " conv1_relu (Activation) (None, 64, 64, 64) 0 ['conv1_bn[0][0]'] \n", - " \n", - " pool1_pad (ZeroPadding2D) (None, 66, 66, 64) 0 ['conv1_relu[0][0]'] \n", - " \n", - " pool1_pool (MaxPooling2D) (None, 32, 32, 64) 0 ['pool1_pad[0][0]'] \n", - " \n", - " conv2_block1_1_conv (Conv2D) (None, 32, 32, 64) 4160 ['pool1_pool[0][0]'] \n", - " \n", - " conv2_block1_1_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block1_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv2_block1_1_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block1_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv2_block1_2_conv (Conv2D) (None, 32, 32, 64) 36928 ['conv2_block1_1_relu[0][0]'] \n", - " \n", - " conv2_block1_2_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block1_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv2_block1_2_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block1_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv2_block1_0_conv (Conv2D) (None, 32, 32, 256) 16640 ['pool1_pool[0][0]'] \n", - " \n", - " conv2_block1_3_conv (Conv2D) (None, 32, 32, 256) 16640 ['conv2_block1_2_relu[0][0]'] \n", - " \n", - " conv2_block1_0_bn (BatchNormal (None, 32, 32, 256) 1024 ['conv2_block1_0_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv2_block1_3_bn (BatchNormal (None, 32, 32, 256) 1024 ['conv2_block1_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv2_block1_add (Add) (None, 32, 32, 256) 0 ['conv2_block1_0_bn[0][0]', \n", - " 'conv2_block1_3_bn[0][0]'] \n", - " \n", - " conv2_block1_out (Activation) (None, 32, 32, 256) 0 ['conv2_block1_add[0][0]'] \n", - " \n", - " conv2_block2_1_conv (Conv2D) (None, 32, 32, 64) 16448 ['conv2_block1_out[0][0]'] \n", - " \n", - " conv2_block2_1_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block2_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv2_block2_1_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block2_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv2_block2_2_conv (Conv2D) (None, 32, 32, 64) 36928 ['conv2_block2_1_relu[0][0]'] \n", - " \n", - " conv2_block2_2_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block2_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv2_block2_2_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block2_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv2_block2_3_conv (Conv2D) (None, 32, 32, 256) 16640 ['conv2_block2_2_relu[0][0]'] \n", - " \n", - " conv2_block2_3_bn (BatchNormal (None, 32, 32, 256) 1024 ['conv2_block2_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv2_block2_add (Add) (None, 32, 32, 256) 0 ['conv2_block1_out[0][0]', \n", - " 'conv2_block2_3_bn[0][0]'] \n", - " \n", - " conv2_block2_out (Activation) (None, 32, 32, 256) 0 ['conv2_block2_add[0][0]'] \n", - " \n", - " conv2_block3_1_conv (Conv2D) (None, 32, 32, 64) 16448 ['conv2_block2_out[0][0]'] \n", - " \n", - " conv2_block3_1_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block3_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv2_block3_1_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block3_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv2_block3_2_conv (Conv2D) (None, 32, 32, 64) 36928 ['conv2_block3_1_relu[0][0]'] \n", - " \n", - " conv2_block3_2_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block3_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv2_block3_2_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block3_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv2_block3_3_conv (Conv2D) (None, 32, 32, 256) 16640 ['conv2_block3_2_relu[0][0]'] \n", - " \n", - " conv2_block3_3_bn (BatchNormal (None, 32, 32, 256) 1024 ['conv2_block3_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv2_block3_add (Add) (None, 32, 32, 256) 0 ['conv2_block2_out[0][0]', \n", - " 'conv2_block3_3_bn[0][0]'] \n", - " \n", - " conv2_block3_out (Activation) (None, 32, 32, 256) 0 ['conv2_block3_add[0][0]'] \n", - " \n", - " conv3_block1_1_conv (Conv2D) (None, 16, 16, 128) 32896 ['conv2_block3_out[0][0]'] \n", - " \n", - " conv3_block1_1_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block1_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv3_block1_1_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block1_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv3_block1_2_conv (Conv2D) (None, 16, 16, 128) 147584 ['conv3_block1_1_relu[0][0]'] \n", - " \n", - " conv3_block1_2_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block1_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv3_block1_2_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block1_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv3_block1_0_conv (Conv2D) (None, 16, 16, 512) 131584 ['conv2_block3_out[0][0]'] \n", - " \n", - " conv3_block1_3_conv (Conv2D) (None, 16, 16, 512) 66048 ['conv3_block1_2_relu[0][0]'] \n", - " \n", - " conv3_block1_0_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block1_0_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv3_block1_3_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block1_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv3_block1_add (Add) (None, 16, 16, 512) 0 ['conv3_block1_0_bn[0][0]', \n", - " 'conv3_block1_3_bn[0][0]'] \n", - " \n", - " conv3_block1_out (Activation) (None, 16, 16, 512) 0 ['conv3_block1_add[0][0]'] \n", - " \n", - " conv3_block2_1_conv (Conv2D) (None, 16, 16, 128) 65664 ['conv3_block1_out[0][0]'] \n", - " \n", - " conv3_block2_1_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block2_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv3_block2_1_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block2_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv3_block2_2_conv (Conv2D) (None, 16, 16, 128) 147584 ['conv3_block2_1_relu[0][0]'] \n", - " \n", - " conv3_block2_2_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block2_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv3_block2_2_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block2_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv3_block2_3_conv (Conv2D) (None, 16, 16, 512) 66048 ['conv3_block2_2_relu[0][0]'] \n", - " \n", - " conv3_block2_3_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block2_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv3_block2_add (Add) (None, 16, 16, 512) 0 ['conv3_block1_out[0][0]', \n", - " 'conv3_block2_3_bn[0][0]'] \n", - " \n", - " conv3_block2_out (Activation) (None, 16, 16, 512) 0 ['conv3_block2_add[0][0]'] \n", - " \n", - " conv3_block3_1_conv (Conv2D) (None, 16, 16, 128) 65664 ['conv3_block2_out[0][0]'] \n", - " \n", - " conv3_block3_1_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block3_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv3_block3_1_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block3_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv3_block3_2_conv (Conv2D) (None, 16, 16, 128) 147584 ['conv3_block3_1_relu[0][0]'] \n", - " \n", - " conv3_block3_2_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block3_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv3_block3_2_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block3_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv3_block3_3_conv (Conv2D) (None, 16, 16, 512) 66048 ['conv3_block3_2_relu[0][0]'] \n", - " \n", - " conv3_block3_3_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block3_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv3_block3_add (Add) (None, 16, 16, 512) 0 ['conv3_block2_out[0][0]', \n", - " 'conv3_block3_3_bn[0][0]'] \n", - " \n", - " conv3_block3_out (Activation) (None, 16, 16, 512) 0 ['conv3_block3_add[0][0]'] \n", - " \n", - " conv3_block4_1_conv (Conv2D) (None, 16, 16, 128) 65664 ['conv3_block3_out[0][0]'] \n", - " \n", - " conv3_block4_1_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block4_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv3_block4_1_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block4_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv3_block4_2_conv (Conv2D) (None, 16, 16, 128) 147584 ['conv3_block4_1_relu[0][0]'] \n", - " \n", - " conv3_block4_2_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block4_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv3_block4_2_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block4_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv3_block4_3_conv (Conv2D) (None, 16, 16, 512) 66048 ['conv3_block4_2_relu[0][0]'] \n", - " \n", - " conv3_block4_3_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block4_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv3_block4_add (Add) (None, 16, 16, 512) 0 ['conv3_block3_out[0][0]', \n", - " 'conv3_block4_3_bn[0][0]'] \n", - " \n", - " conv3_block4_out (Activation) (None, 16, 16, 512) 0 ['conv3_block4_add[0][0]'] \n", - " \n", - " conv4_block1_1_conv (Conv2D) (None, 8, 8, 256) 131328 ['conv3_block4_out[0][0]'] \n", - " \n", - " conv4_block1_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block1_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block1_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block1_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv4_block1_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block1_1_relu[0][0]'] \n", - " \n", - " conv4_block1_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block1_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block1_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block1_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv4_block1_0_conv (Conv2D) (None, 8, 8, 1024) 525312 ['conv3_block4_out[0][0]'] \n", - " \n", - " conv4_block1_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block1_2_relu[0][0]'] \n", - " \n", - " conv4_block1_0_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block1_0_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block1_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block1_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block1_add (Add) (None, 8, 8, 1024) 0 ['conv4_block1_0_bn[0][0]', \n", - " 'conv4_block1_3_bn[0][0]'] \n", - " \n", - " conv4_block1_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block1_add[0][0]'] \n", - " \n", - " conv4_block2_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block1_out[0][0]'] \n", - " \n", - " conv4_block2_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block2_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block2_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block2_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv4_block2_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block2_1_relu[0][0]'] \n", - " \n", - " conv4_block2_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block2_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block2_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block2_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv4_block2_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block2_2_relu[0][0]'] \n", - " \n", - " conv4_block2_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block2_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block2_add (Add) (None, 8, 8, 1024) 0 ['conv4_block1_out[0][0]', \n", - " 'conv4_block2_3_bn[0][0]'] \n", - " \n", - " conv4_block2_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block2_add[0][0]'] \n", - " \n", - " conv4_block3_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block2_out[0][0]'] \n", - " \n", - " conv4_block3_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block3_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block3_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block3_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv4_block3_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block3_1_relu[0][0]'] \n", - " \n", - " conv4_block3_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block3_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block3_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block3_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv4_block3_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block3_2_relu[0][0]'] \n", - " \n", - " conv4_block3_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block3_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block3_add (Add) (None, 8, 8, 1024) 0 ['conv4_block2_out[0][0]', \n", - " 'conv4_block3_3_bn[0][0]'] \n", - " \n", - " conv4_block3_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block3_add[0][0]'] \n", - " \n", - " conv4_block4_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block3_out[0][0]'] \n", - " \n", - " conv4_block4_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block4_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block4_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block4_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv4_block4_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block4_1_relu[0][0]'] \n", - " \n", - " conv4_block4_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block4_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block4_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block4_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv4_block4_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block4_2_relu[0][0]'] \n", - " \n", - " conv4_block4_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block4_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block4_add (Add) (None, 8, 8, 1024) 0 ['conv4_block3_out[0][0]', \n", - " 'conv4_block4_3_bn[0][0]'] \n", - " \n", - " conv4_block4_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block4_add[0][0]'] \n", - " \n", - " conv4_block5_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block4_out[0][0]'] \n", - " \n", - " conv4_block5_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block5_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block5_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block5_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv4_block5_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block5_1_relu[0][0]'] \n", - " \n", - " conv4_block5_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block5_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block5_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block5_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv4_block5_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block5_2_relu[0][0]'] \n", - " \n", - " conv4_block5_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block5_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block5_add (Add) (None, 8, 8, 1024) 0 ['conv4_block4_out[0][0]', \n", - " 'conv4_block5_3_bn[0][0]'] \n", - " \n", - " conv4_block5_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block5_add[0][0]'] \n", - " \n", - " conv4_block6_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block5_out[0][0]'] \n", - " \n", - " conv4_block6_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block6_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block6_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block6_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv4_block6_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block6_1_relu[0][0]'] \n", - " \n", - " conv4_block6_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block6_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block6_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block6_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv4_block6_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block6_2_relu[0][0]'] \n", - " \n", - " conv4_block6_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block6_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv4_block6_add (Add) (None, 8, 8, 1024) 0 ['conv4_block5_out[0][0]', \n", - " 'conv4_block6_3_bn[0][0]'] \n", - " \n", - " conv4_block6_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block6_add[0][0]'] \n", - " \n", - " conv5_block1_1_conv (Conv2D) (None, 4, 4, 512) 524800 ['conv4_block6_out[0][0]'] \n", - " \n", - " conv5_block1_1_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block1_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv5_block1_1_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block1_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv5_block1_2_conv (Conv2D) (None, 4, 4, 512) 2359808 ['conv5_block1_1_relu[0][0]'] \n", - " \n", - " conv5_block1_2_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block1_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv5_block1_2_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block1_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv5_block1_0_conv (Conv2D) (None, 4, 4, 2048) 2099200 ['conv4_block6_out[0][0]'] \n", - " \n", - " conv5_block1_3_conv (Conv2D) (None, 4, 4, 2048) 1050624 ['conv5_block1_2_relu[0][0]'] \n", - " \n", - " conv5_block1_0_bn (BatchNormal (None, 4, 4, 2048) 8192 ['conv5_block1_0_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv5_block1_3_bn (BatchNormal (None, 4, 4, 2048) 8192 ['conv5_block1_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv5_block1_add (Add) (None, 4, 4, 2048) 0 ['conv5_block1_0_bn[0][0]', \n", - " 'conv5_block1_3_bn[0][0]'] \n", - " \n", - " conv5_block1_out (Activation) (None, 4, 4, 2048) 0 ['conv5_block1_add[0][0]'] \n", - " \n", - " conv5_block2_1_conv (Conv2D) (None, 4, 4, 512) 1049088 ['conv5_block1_out[0][0]'] \n", - " \n", - " conv5_block2_1_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block2_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv5_block2_1_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block2_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv5_block2_2_conv (Conv2D) (None, 4, 4, 512) 2359808 ['conv5_block2_1_relu[0][0]'] \n", - " \n", - " conv5_block2_2_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block2_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv5_block2_2_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block2_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv5_block2_3_conv (Conv2D) (None, 4, 4, 2048) 1050624 ['conv5_block2_2_relu[0][0]'] \n", - " \n", - " conv5_block2_3_bn (BatchNormal (None, 4, 4, 2048) 8192 ['conv5_block2_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv5_block2_add (Add) (None, 4, 4, 2048) 0 ['conv5_block1_out[0][0]', \n", - " 'conv5_block2_3_bn[0][0]'] \n", - " \n", - " conv5_block2_out (Activation) (None, 4, 4, 2048) 0 ['conv5_block2_add[0][0]'] \n", - " \n", - " conv5_block3_1_conv (Conv2D) (None, 4, 4, 512) 1049088 ['conv5_block2_out[0][0]'] \n", - " \n", - " conv5_block3_1_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block3_1_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv5_block3_1_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block3_1_bn[0][0]'] \n", - " n) \n", - " \n", - " conv5_block3_2_conv (Conv2D) (None, 4, 4, 512) 2359808 ['conv5_block3_1_relu[0][0]'] \n", - " \n", - " conv5_block3_2_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block3_2_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv5_block3_2_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block3_2_bn[0][0]'] \n", - " n) \n", - " \n", - " conv5_block3_3_conv (Conv2D) (None, 4, 4, 2048) 1050624 ['conv5_block3_2_relu[0][0]'] \n", - " \n", - " conv5_block3_3_bn (BatchNormal (None, 4, 4, 2048) 8192 ['conv5_block3_3_conv[0][0]'] \n", - " ization) \n", - " \n", - " conv5_block3_add (Add) (None, 4, 4, 2048) 0 ['conv5_block2_out[0][0]', \n", - " 'conv5_block3_3_bn[0][0]'] \n", - " \n", - " conv5_block3_out (Activation) (None, 4, 4, 2048) 0 ['conv5_block3_add[0][0]'] \n", - " \n", - "==================================================================================================\n", - "Total params: 23,587,712\n", - "Trainable params: 23,534,592\n", - "Non-trainable params: 53,120\n", - "__________________________________________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# As we're using Transfer Learning, you do not need to train all the layers. Freeze all of the layers or train some layers (experiment)\n", - "\n", - "base_model.trainable = False # Freeze the base_model" - ], - "metadata": { - "id": "F_Heq3C1eKd-" - }, - "execution_count": 60, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Append Fully connected/custom Conv2D/Dropout/MaxPooling layers to the base model\n", - "inputs = keras.Input(shape=IMG_SIZE)\n", - "x = inputs\n", - "x = base_model(x, training=False)\n", - "x = keras.layers.Flatten()(x)\n", - "x = keras.layers.Dense(512)(x)\n", - "x = keras.layers.Dropout(0.2)(x) " - ], - "metadata": { - "id": "MKx1EtUJea6D" - }, - "execution_count": 61, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Add the final output layer\n", - "outputs = keras.layers.Dense(3, activation=\"softmax\")(x)\n", - "model = keras.Model(inputs, outputs)" - ], - "metadata": { - "id": "q6I3oTTNgP8L" - }, - "execution_count": 62, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Print your model's summary\n", - "model.summary()" - ], - "metadata": { - "id": "6aVQocJwgN5r", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "45d3ed02-8e9e-4e78-b05e-fe812fa721a4" - }, - "execution_count": 63, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Model: \"model_1\"\n", - "_________________________________________________________________\n", - " Layer (type) Output Shape Param # \n", - "=================================================================\n", - " input_5 (InputLayer) [(None, 128, 128, 3)] 0 \n", - " \n", - " resnet50 (Functional) (None, 4, 4, 2048) 23587712 \n", - " \n", - " flatten_1 (Flatten) (None, 32768) 0 \n", - " \n", - " dense_2 (Dense) (None, 512) 16777728 \n", - " \n", - " dropout_1 (Dropout) (None, 512) 0 \n", - " \n", - " dense_3 (Dense) (None, 3) 1539 \n", - " \n", - "=================================================================\n", - "Total params: 40,366,979\n", - "Trainable params: 16,779,267\n", - "Non-trainable params: 23,587,712\n", - "_________________________________________________________________\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Compile you model (set the parameters like loss/optimizers/metrics)\n", - "model.compile(\n", - " optimizer=keras.optimizers.Adam(\n", - " learning_rate=0.001),\n", - " loss=keras.losses.categorical_crossentropy,\n", - " metrics=[\"accuracy\"],\n", - ")\n" - ], - "metadata": { - "id": "qdC71fUBgXAg" - }, - "execution_count": 64, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "### Data Augmentation and Pre-processing\n", - "Augment the data. You may also try dyanamic augmentation using [`tf.keras.preprocessing.image.ImageDataGenerator `](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/image/ImageDataGenerator). \n", - "You may use [`tf.keras.applications.vgg16.preprocess_input`](https://www.tensorflow.org/api_docs/python/tf/keras/applications/vgg16/preprocess_input)(or some other base model's utility) for pre-processing (can also be passed as a parameter to `ImageDataGenerator`)" - ], - "metadata": { - "id": "RdUSMLggifex" - } - }, - { - "cell_type": "code", - "source": [ - "# from keras.applications.vgg16 import preprocess_input # Change according to your base model\n", - "# from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from keras_preprocessing.image import ImageDataGenerator\n", - "\n", - "label_datagen = ImageDataGenerator( rescale = 1./255, validation_split=0.2)\n", - "# Your code " - ], - "metadata": { - "id": "DBscSsvkgn39" - }, - "execution_count": 65, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "" - ], - "metadata": { - "id": "-k4VPgwEDPvO" - } - }, - { - "cell_type": "markdown", - "source": [ - "### Training and Validation Dataset \n", - "Split the dataset into training and validation (We'll be looking for your validation accuracy, assume we are using complete dataset for now). \n", - "\n", - "Hint: `flow_from_directory` used with `ImageDataGenerator` will simplify things for you." - ], - "metadata": { - "id": "IcKPxCpOkcuG" - } - }, - { - "cell_type": "code", - "source": [ - "from keras.backend import categorical_crossentropy\n", - "# Your code\n", - "train_label_generator = label_datagen.flow_from_directory(\n", - " directory=path,\n", - " target_size=(128,128),\n", - " subset=\"training\",\n", - " class_mode='categorical',\n", - " batch_size=32)\n", - "validation_label_generator = label_datagen.flow_from_directory(\n", - " directory=path,\n", - " target_size=(128,128),\n", - " subset=\"validation\",\n", - " class_mode='categorical',\n", - " batch_size=32)" - ], - "metadata": { - "id": "sB7hb3ybkJRq", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "589c3513-4c18-4468-fd67-923757dcf8a4" - }, - "execution_count": 68, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Found 7204 images belonging to 3 classes.\n", - "Found 1798 images belonging to 3 classes.\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Training \n", - "Train your model for some epochs and plot the graph. Try and save your best model. Experiment with the parameters of `model.fit`" - ], - "metadata": { - "id": "ZZPsjpT1mp3z" - } - }, - { - "cell_type": "code", - "source": [ - "from keras.callbacks import ModelCheckpoint\n", - "\n", - "history = model.fit(train_label_generator, validation_data=validation_label_generator, epochs=10, workers=4, batch_size=32)\n", - "# ModelCheckpoint is helpful to save the model giving best results (brownie points)" - ], - "metadata": { - "id": "Gs2X14MBmu7W", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "0d4e9f03-5e37-4dd2-e776-dc2bf627573d" - }, - "execution_count": 69, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Epoch 1/10\n", - "226/226 [==============================] - 505s 2s/step - loss: 1.4955 - accuracy: 0.6390 - val_loss: 0.5426 - val_accuracy: 0.7864\n", - "Epoch 2/10\n", - "226/226 [==============================] - 481s 2s/step - loss: 0.6392 - accuracy: 0.7658 - val_loss: 0.5708 - val_accuracy: 0.7592\n", - "Epoch 3/10\n", - "226/226 [==============================] - 487s 2s/step - loss: 0.5296 - accuracy: 0.8001 - val_loss: 0.4819 - val_accuracy: 0.8220\n", - "Epoch 4/10\n", - "226/226 [==============================] - 483s 2s/step - loss: 0.4557 - accuracy: 0.8261 - val_loss: 0.7411 - val_accuracy: 0.7230\n", - "Epoch 5/10\n", - "226/226 [==============================] - 482s 2s/step - loss: 0.4044 - accuracy: 0.8484 - val_loss: 0.3754 - val_accuracy: 0.8637\n", - "Epoch 6/10\n", - "226/226 [==============================] - 483s 2s/step - loss: 0.5058 - accuracy: 0.8155 - val_loss: 0.5950 - val_accuracy: 0.7631\n", - "Epoch 7/10\n", - "226/226 [==============================] - 485s 2s/step - loss: 0.4716 - accuracy: 0.8250 - val_loss: 0.5747 - val_accuracy: 0.7647\n", - "Epoch 8/10\n", - "226/226 [==============================] - 488s 2s/step - loss: 0.3934 - accuracy: 0.8522 - val_loss: 0.3938 - val_accuracy: 0.8615\n", - "Epoch 9/10\n", - "226/226 [==============================] - 485s 2s/step - loss: 0.3528 - accuracy: 0.8660 - val_loss: 0.3761 - val_accuracy: 0.8504\n", - "Epoch 10/10\n", - "226/226 [==============================] - 484s 2s/step - loss: 0.4041 - accuracy: 0.8493 - val_loss: 0.3887 - val_accuracy: 0.8626\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "### Evaluate the performance" - ], - "metadata": { - "id": "FTvRa1FXri4R" - } - }, - { - "cell_type": "code", - "source": [ - "# Plot training & validation loss/accuracy values\n", - "print(history.history.keys())\n", - "# \"Accuracy\"\n", - "plt.plot(history.history['accuracy'])\n", - "plt.plot(history.history['val_accuracy'])\n", - "plt.title('model accuracy')\n", - "plt.ylabel('accuracy')\n", - "plt.xlabel('epoch')\n", - "plt.legend(['train', 'validation'], loc='upper left')\n", - "plt.show()\n", - "# \"Loss\"\n", - "plt.plot(history.history['loss'])\n", - "plt.plot(history.history['val_loss'])\n", - "plt.title('model loss')\n", - "plt.ylabel('loss')\n", - "plt.xlabel('epoch')\n", - "plt.legend(['train', 'validation'], loc='upper left')\n", - "plt.show()" - ], - "metadata": { - "id": "cTH6flzcrck0", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 590 - }, - "outputId": "c8da33a4-0b3a-455a-c920-6924d8a5aad3" - }, - "execution_count": 72, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "dict_keys(['loss', 'accuracy', 'val_loss', 'val_accuracy'])\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "source": [ - "from sklearn.metrics import classification_report, confusion_matrix\n", - "import numpy as np\n", - "\n", - "validation_classes = []\n", - "validation_images = []\n", - "for i in range( -(-validation_label_generator.samples // validation_label_generator.batch_size)):\n", - " batch = validation_label_generator.next()\n", - " expected = np.argmax(batch[1], axis=1) \n", - " validation_classes.extend(expected)\n", - " validation_images.extend(batch[0])\n", - "validation_classes = np.array(validation_classes)\n", - "validation_images = np.array(validation_images)\n", - "Y_pred = model.predict(validation_images)\n", - "y_pred = np.argmax(Y_pred, axis=1)\n", - "\n", - "\n", - "print(classification_report(validation_classes, y_pred, \n", - "\t\ttarget_names = ['mask_weared_incorrect', 'with_mask', 'without_mask']))\n", - "# print classification report" - ], - "metadata": { - "id": "fJ-ZtU84r66Z", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "34a18c7d-2786-445b-a7db-04ad9ceed34e" - }, - "execution_count": 73, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " precision recall f1-score support\n", - "\n", - "mask_weared_incorrect 0.84 0.91 0.87 602\n", - " with_mask 0.80 0.88 0.84 598\n", - " without_mask 0.98 0.80 0.88 598\n", - "\n", - " accuracy 0.86 1798\n", - " macro avg 0.87 0.86 0.86 1798\n", - " weighted avg 0.87 0.86 0.86 1798\n", - "\n" - ] - } - ] - } - ] -} \ No newline at end of file diff --git a/Final Task/README.md b/Final Task/README.md deleted file mode 100644 index 19f0305..0000000 --- a/Final Task/README.md +++ /dev/null @@ -1 +0,0 @@ -Use this directory to upload your notebooks for the final task. From 389c7d5c4c231654de43a9fd3d8137606a112455 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:28:51 +0530 Subject: [PATCH 18/35] 1 --- ... Predictions using Linear Regression.ipynb | 322 ++++++++++++++++++ 1 file changed, 322 insertions(+) create mode 100644 Making Predictions using Linear Regression.ipynb diff --git a/Making Predictions using Linear Regression.ipynb b/Making Predictions using Linear Regression.ipynb new file mode 100644 index 0000000..570d9ea --- /dev/null +++ b/Making Predictions using Linear Regression.ipynb @@ -0,0 +1,322 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "Copy of CV with TF: Assignment 1.ipynb", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "### **Aim** \n", + "The motive of this assignment is to make predictions using **Linear Regression**. To make sure you truly understand how the underlying algorithm works, you are to implement it from scratch." + ], + "metadata": { + "id": "RB2d1J1f1CF7" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Generating the dataset \n", + "Run the cell below to create the dataset. It further splits the available data into training and testing. Please do not edit this cell.\n" + ], + "metadata": { + "id": "a_S80lf6H4Xv" + } + }, + { + "cell_type": "code", + "source": [ + "from sklearn import datasets\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# Generating the data\n", + "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=20, random_state=4)\n", + "\n", + "# Splitting the data\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)" + ], + "metadata": { + "id": "yX0zqXcHIQHP" + }, + "execution_count": 67, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Visualizing the data \n", + "Use `matplotlib` to visualize the given data." + ], + "metadata": { + "id": "Zj4rrRXGJBXy" + } + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "#Plotting X against y\n", + "plt.plot(X,y)\n", + "plt.show()\n" + ], + "metadata": { + "id": "zxfi8dkBJOUi", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 265 + }, + "outputId": "27c0e1d1-bf57-45f6-c749-c83fa2290e90" + }, + "execution_count": 68, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "You should be able to see the linear relations between `y` and the features in vector `X`." + ], + "metadata": { + "id": "r7vndSBAJceF" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Gradient Descent Review \n", + "1. #### Cost function\n", + "Define the `cost function` to measure the difference between predictions and target outputs. Here, we are working with first degree polynomial, so derivatives are easy to calculate. ( Linear function `y = wx +b` ) \n", + "\n", + "$$Error = \\frac{1}{N}\\sum_{i=1}^N (y_i - \\overline{y}_i)^2 = \\frac{1}{N}\\sum_{i=1}^N (y_i - (x_iw+b))^2 $$ \n", + "\n", + " where `N` is the number of samples \n", + " \n", + "\n", + "\n", + "2. #### Compute the derivative\n", + "$$\\frac{\\delta Error}{\\delta w} = \\frac{2}{N}\\sum_{i=1}^N -x_i(y_i -(m x_i +b )) $$\n", + "$$\\frac{\\delta Error}{\\delta b} = \\frac{2}{N}\\sum_{i=1}^N -(y_i -(m x_i +b )) $$\n", + "3.

Update current parameters

\n", + "$$ w:= w- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta w} $$ \n", + "$$ b:= b- learning\\_rate \\cdot \\frac{\\delta Error}{\\delta b} $$ \n", + "4.

Repeat until it fits good enough

\n" + ], + "metadata": { + "id": "b4I9Z3epNvBM" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Model definition\n", + "\n", + "Complete the functions in the class below. Hints provided at appropriate places." + ], + "metadata": { + "id": "kBtUcOVnJu-I" + } + }, + { + "cell_type": "code", + "source": [ + "import numpy as np\n", + "\n", + "class LinearRegression:\n", + "\n", + " # The __init__ is called when we make any object of our class. Here, we specify the default values for \n", + " # Learning Rate, Number of Iterations, Weights and Biases. It doesn't return anything.\n", + " def __init__(self, learning_rate=0.001, n_iters=1000):\n", + " \n", + " self.learning_rate=learning_rate\n", + " self.n_iters=n_iters\n", + " self.weights=None\n", + " self.bias=None\n", + "\n", + "\n", + " # Optimization technique using the gradient descent model \n", + " def fit(self, X, y):\n", + " \n", + " # Assigning the values for the number of samples and number of features\n", + " n_samples,n_features=X.shape\n", + "\n", + " self.weights=np.zeros(n_features)\n", + " self.bias=0\n", + " \n", + " for i in range(self.n_iters):\n", + " y_predict=self.predict(X) #the predicted value for y\n", + " dw=-(2/n_samples)*np.dot((X.T),(y-y_predict)) # Derivative of weights\n", + " db=-(2/n_samples)*np.sum(y-y_predict) # Derivative of bias\n", + " self.weights = self.weights-self.learning_rate*dw #Updating weights\n", + " self.bias = self.bias - self.learning_rate*db #Updating bias\n", + " \n", + " \n", + " # Prediction on unseen data\n", + " def predict(self, X):\n", + " return np.dot(X,self.weights)+self.bias\n", + "\n", + " " + ], + "metadata": { + "id": "dGnFNPJx3I28" + }, + "execution_count": 69, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Initializing, Training & Predictions" + ], + "metadata": { + "id": "EvyInkTKPn7W" + } + }, + { + "cell_type": "code", + "source": [ + "# Now, we make an object of our custom class.\n", + "regressor = LinearRegression() \n", + "regressor.fit(X_train,y_train) # Now we fit the model\n", + "\n", + "# Now, we se what our model predicts\n", + "predictions = regressor.predict(X_test)" + ], + "metadata": { + "id": "nvItUpAkHTiv" + }, + "execution_count": 70, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Evaluate the model \n", + "\n", + "Return [Mean Squared Error](https://en.wikipedia.org/wiki/Mean_squared_error) & [R2 Score](https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/statistics/regression-and-correlation/coefficient-of-determination-r-squared.html#:~:text=%C2%AFy) from the functions below." + ], + "metadata": { + "id": "tzK6cq8eRD4Q" + } + }, + { + "cell_type": "code", + "source": [ + "def mean_squared_error(y_true, y_pred):\n", + " return np.mean((np.square(y_true-y_pred)))\n", + " \n", + "\n", + "def r2_score(y_true, y_pred):\n", + " corr_matrix = np.corrcoef(y_true, y_pred)\n", + " corr = corr_matrix[0,1]\n", + " R_sq = corr**2\n", + " return R_sq \n", + "\n", + "mse = mean_squared_error(y_test,predictions) \n", + "print(\"MSE:\", mse)\n", + "\n", + "accu = r2_score(y_test,predictions) \n", + "print(\"Accuracy:\", accu)" + ], + "metadata": { + "id": "WqkrvDzcRF5m", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "37f46253-0232-45e3-e1d1-a121eec61bd8" + }, + "execution_count": 71, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "MSE: 659.4416574156697\n", + "Accuracy: 0.9695609670736952\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Printing MSE and R2_score from sklearn library\n", + "from sklearn.metrics import r2_score\n", + "from sklearn.metrics import mean_squared_error\n", + "r2 = r2_score(y_test, predictions)\n", + "mse=mean_squared_error(y_test,predictions)\n", + "print(mse)\n", + "print(r2)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "MdhZlpq7Fznw", + "outputId": "bfda47f0-9435-4456-9599-fdac41ce41ca" + }, + "execution_count": 72, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "659.4416574156697\n", + "0.9376571817229341\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "#Predicted values vs Real values\n", + "print( \"Predicted values \", np.round( predictions[:3], 2 ) ) \n", + "print( \"Real values \", y_test[:3] )" + ], + "metadata": { + "id": "8W3e9O51Hnzo", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "e24f62ee-1f7b-4444-ff6a-663d6d225974" + }, + "execution_count": 73, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Predicted values [177.66 -90.77 72.49]\n", + "Real values [ 231.52987097 -127.73130463 82.03512178]\n" + ] + } + ] + } + ] +} \ No newline at end of file From 53a3945cc2312064bd045031fa93979e41bbd2d5 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:29:18 +0530 Subject: [PATCH 19/35] 2 --- Tensorflow's Sequential model.ipynb | 1136 +++++++++++++++++++++++++++ 1 file changed, 1136 insertions(+) create mode 100644 Tensorflow's Sequential model.ipynb diff --git a/Tensorflow's Sequential model.ipynb b/Tensorflow's Sequential model.ipynb new file mode 100644 index 0000000..7e82d40 --- /dev/null +++ b/Tensorflow's Sequential model.ipynb @@ -0,0 +1,1136 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "A2_200526.ipynb", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Assigment 2: Deep Learning" + ], + "metadata": { + "id": "UxcaEbrCy1g_" + } + }, + { + "cell_type": "markdown", + "source": [ + "## Generate Dataset\n", + "\n", + "This is the same code from Assignment 1" + ], + "metadata": { + "id": "h2JON-_Oy79w" + } + }, + { + "cell_type": "code", + "execution_count": 326, + "metadata": { + "id": "hgpG3WDuypfa" + }, + "outputs": [], + "source": [ + "from sklearn import datasets\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# Generate the data\n", + "X, y = datasets.make_regression(n_samples=100, n_features=5, noise=5, random_state=4)\n", + "\n", + "# Split the data\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n", + "X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=1)" + ] + }, + { + "cell_type": "code", + "source": [ + "print(X.shape) #number of features is 5" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "SOSJpwAabA9J", + "outputId": "866c68e7-d110-4f54-c22b-1da61537cdec" + }, + "execution_count": 327, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "(100, 5)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Visualize Dataset\n", + "This is the same code from Assignment 1" + ], + "metadata": { + "id": "r6it-Rm7zD1Y" + } + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plt.scatter(X[:,0],y)\n", + "# Your code here" + ], + "metadata": { + "id": "UautPVj1yzaQ", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + }, + "outputId": "01748ffa-4466-42dd-d54e-3b9f2e66869f" + }, + "execution_count": 328, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 328 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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SImiEr9TCri2jePWfxN+ovuqSlUt6y7u2jOLB8W0YHR66qHqmOzfeb0lnFctSJqnLSF5Xq5lJOt5W+4h0mzkXX+aZtRfevb1XqiWurNL1PDq+j+RVRZL/1POX2sja2y6id969tm9nEKtD79sVVST5Tz1/qY2sve0ieufLBbEHx7cp2CdQRZL/FPylNjpLIVszsxggl/QmuwNxEYvGK4j1RxVJ/lPwD1CdpwZotzNtPjlvblxBrD+un4lIb8r5ByYph12nSowq88kqq+xPXSqSQqaef2CasMh3Usql1/z//SgidRQq3yuSQqfgH5i8OWwfUkZJqRhG7Su6PQpi0kRK+9Rc1oE0ecoffUkZ7dm+6aL5/YHFkbwqJRRJR8G/xvoJxnly2L7Ubu/aMho77z2gKpwiaYRusyn411g/wTjPgzifyh5HHU6vEAJf7vKkPMr511i/wbjfHLZPZY8qJSxXEwoDZHnq+ddYP/n7PLfyPpU9qpSwXD7d5Uk51POvsay937yTbflW9pjlDqZXlZIPVUw+8ekuT8qh4F9jWYLx5HQLtx54BAu29FFp1lv5OpY99rro9XNRbPrFQmm15lPwr7k0wbgd3LoDf1vTb+V75a+z5rdDmK7Yt7s8KZ6CfwB6LX7e9Fv5XvnrIhd9b1JwrONdnqSn4B+A5Xr2IdzK98pfL7c/Lr2T5WLR9PSQ1JeqfQKQ1LMfIIOokOlVpZS0/51XjsTWug+vHox9ne7zrFp58ZmCfwDigtvgCuJPh1bilruPN370Zq+y0KT9Dzx5Nja9Y4ZUJa++jIgWiaO0TwC6H969dmgQL740j+ejNXGb+MCyW6/8ddz+W+4+HnvsC7Nz+Pe/+6ue6RzVyovPFPw9U1aOuDO4bZ04ipnZpYuhN/GBZV7LPQtI8zBUtfLiM6V9PFJVjlg90nTyjmj2aUS0SDf1/D1SVQlhE3ukZdwx5a11V628+EzB3yNV9cibNnqzzEFXeWvdVSsvvlLaxyN5FlrJommToqmqRiQ79fw9UmWPvEk9Uj3DEMlOPX+PNK1HXpWq7phEmkQ9f880qUdelaY9wxCpgoK/1J6qakSyyxX8SX4YwOcB/CWAq81sqmPfbQBuBLAA4J/N7HC0fQeALwMYAPB1M5vI0wYRoLg7Jk3EJqHI2/N/DMB1AP67cyPJzQCuB3AVgMsB3EfyDdHu2wH8LYAzAB4medDMHs/ZDpHcQpinX6Qt1wNfM3vCzOLq6XYC2G9m583saQCnAFwdfZwys6fM7CUA+6NjRZxTyaiEpKxqn1EAz3R8fSbalrT9IiR3k5wiOXX27NmSminyCpWMSkh6Bn+S95F8LOaj1B67me0zszEzGxsZGSnzpUQAqGRUwtIz529m7+rj57YArOv4em20DctsF3FKJaMSkrLSPgcBXE/yEpIbAGwE8FMADwPYSHIDyVVYfCh8sKQ2iGSiQXYSkrylnh8A8B8ARgAcInnczLab2QmSBwA8DmAewE1mthB9z80ADmOx1PMOMzuR6x1IYVTmqEF2Eg6ames29DQ2NmZTU1O9D5S+dZc5AospD/V8ReqL5DEzG4vbp7l9BIDKHEVCo+AvAFTmKBIaBX8BoDJHkdAo+AsArTcrEhrN6hmYpIoezYwpEhYF/4D0mrhMZY4i4VDaJyCq6BGRNvX8A1JURc/kdAtf+P4JPH9u7sK2NasH8bn3XVX7OwcNdJNQKPgH5PLhIbRiAn2Wip7J6Rb2fOcRzC0sHRz4/Lk57PnOIwDqO/e95vOXkCjtE5AiKnr2Hj55UeBvm1uwWqeQlBaTkKjnH5AiKnp6pYjqPChMA90kJAr+gclb0ZOUOurcX1dJ720FiQ3jh/QMQBol+LTP5HQLWyeOYsP4IWydOIrJaS0vsJw92zdhcICx+wYHuGwKyfdzHZcWA4AFMxheeQbgW7tF+hF08G8/4GvNzOqPO6VdW0ax90NvwZrVg0u2r1k9iL0fektir7gO57p7Pv8BXnyR0zMAaYqgp3TeOnE09jZ/dHgID45vK/z1QlbHc71h/BDi/joI4OmJ91TdHJHMNKVzAj3gq04dz7Umu5MmCzr464+7OnU815rsTpos6OCvP+5qTE638OL5+Yu2+36utaavNFnQpZ6aybJ8cctDAvWZDkKT3UlTBR38Af1xly1u1CwArF61UuddxKGg0z5Svjo+6BUJgYK/lKqOD3pFQqDgL6XSQ3URPwWf85dy6aG6iJ8U/KV0eqgu4h+lfUREAqTgLyISIAV/EZEAKfiLiARIwV9EJEAK/iIiAcoV/EnuJfkkyUdJfpfkcMe+20ieInmS5PaO7TuibadIjud5ffGf70s3ioQqb8//CIA3mtmbAfwCwG0AQHIzgOsBXAVgB4D/JDlAcgDA7QCuBbAZwA3RsaVQ4HGrDks3ioQqV/A3sx+ZWXui9ocArI0+3wlgv5mdN7OnAZwCcHX0ccrMnjKzlwDsj44tnAKPe3EzemoNXBE/FJnz/ySAH0afjwJ4pmPfmWhb0vaLkNxNcork1NmzZzM3RoHHPc3oKeKvnsGf5H0kH4v52NlxzGcBzAO4q6iGmdk+Mxszs7GRkZHM36/A455m9BTxV8+5fczsXcvtJ/lxAO8FcI2ZWbS5BWBdx2Fro21YZnuhLh8eQism0CvwVGfP9k0XreKlGT1F/JC32mcHgM8AeL+ZnevYdRDA9SQvIbkBwEYAPwXwMICNJDeQXIXFh8IH87QhiaYSdk9r4Ir4K++snl8FcAmAIyQB4CEz+yczO0HyAIDHsZgOusnMFgCA5M0ADgMYAHCHmZ3I2YZYmkrYD5rRU8RPfCVT46+xsTGbmppy3QwRkVoheczMxuL2aYSviEiAFPxFRAKk4C8iEiAFfxGRACn4i4gESMFfRCRACv4iIgFS8BcRCZCCv4hIgBT8RUQCpOAvIhIgBX8RkQDlndVTJJfJ6ZZmXhVxQMFfnGmvs9xe7KW9zjIAXQBESqa0jzijdZZF3FHwF2e0zrKIO0r79KCcdHm0zrKIO+r5L6Odk27NzMLwSk56crqUNeeDo3WWRdxR8F+GctLl0gLvIu4o7bMM5aTLpwXeRdxQz38ZSbln5aRFpO4U/JehnLSINJXSPstopyNU7SMiTaPg34Ny0iLSREr7iIgESMFfRCRACv4iIgFS8BcRCZCCv4hIgGhmrtvQE8mzAE67bkeXSwH81nUjKqT323yhvecQ3u+fm9lI3I5aBH8fkZwyszHX7aiK3m/zhfaeQ3u/3ZT2EREJkIK/iEiAFPz7t891Ayqm99t8ob3n0N7vEsr5i4gESD1/EZEAKfiLiARIwT8HkntJPknyUZLfJTnsuk1lIvlhkidIvkyysSVyJHeQPEnyFMlx1+0pE8k7SD5H8jHXbakCyXUkHyD5ePS7/CnXbXJFwT+fIwDeaGZvBvALALc5bk/ZHgNwHYAfu25IWUgOALgdwLUANgO4geRmt60q1TcB7HDdiArNA7jVzDYDeAeAmxr+/5tIwT8HM/uRmc1HXz4EYK3L9pTNzJ4ws6avXn81gFNm9pSZvQRgP4CdjttUGjP7MYDfuW5HVczsWTP7WfT5HwA8ASDIBTsU/IvzSQA/dN0IyW0UwDMdX59BoMGh6UiuB7AFwE/ctsQNreTVA8n7APxZzK7Pmtn3omM+i8XbybuqbFsZ0rxfkboj+WoA9wD4tJn93nV7XFDw78HM3rXcfpIfB/BeANdYAwZN9Hq/AWgBWNfx9dpomzQEyUEsBv67zOxe1+1xRWmfHEjuAPAZAO83s3Ou2yOFeBjARpIbSK4CcD2Ag47bJAUhSQDfAPCEmX3JdXtcUvDP56sAXgPgCMnjJP/LdYPKRPIDJM8A+GsAh0gedt2mokUP8G8GcBiLDwMPmNkJt60qD8lvA/hfAJtIniF5o+s2lWwrgI8C2Bb9zR4n+W7XjXJB0zuIiARIPX8RkQAp+IuIBEjBX0QkQAr+IiIBUvAXEQmQgr+ISIAU/EVEAvT/umH5uL2DymcAAAAASUVORK5CYII=\n" 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\n" 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\n" 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Model Definition\n", + "\n", + "Using TensorFlow, build a model with the following definition:\n", + "> Input of shape 5 \\\\\n", + "> Dense of shape 5 \\\\\n", + "> Dense of shape 5 \\\\\n", + "> Dense of shape 1 \\\\\n", + "\n", + "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", + "\n", + "Use Gradient Decay with appropriate parameters" + ], + "metadata": { + "id": "XMXb9lTyzGHE" + } + }, + { + "cell_type": "code", + "source": [ + "import tensorflow as tf\n", + "\n", + "# importing the sequential model\n", + "# A Sequential model is appropriate for a plain stack of layers where each layer has exactly one input tensor and one output tensor.\n", + "from tensorflow.keras import Sequential\n", + "from tensorflow.keras import Model\n", + "from tensorflow.keras.layers import Dense\n", + "\n", + "# importing the sequential model and adding dense layers\n", + "model = Sequential()\n", + "\n", + "# kernel_regularizer: Regularizer to apply a penalty on the layer's kernel\n", + "# Regularization basically adds the penalty as model complexity increases.\n", + "# Regularization parameter (lambda) penalizes all the parameters except intercept so that model generalizes the data and won’t overfit\n", + "model.add(Dense(5, activation='relu', input_shape=(5,), kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))#Adding regularization\n", + "model.add(Dense(5, activation='relu', kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))#Adding regularization\n", + "model.add(Dense(1, kernel_regularizer=tf.keras.regularizers.l1_l2(l1=0.1, l2=0.01)))\n", + "\n", + "# Summary of our model\n", + "model.summary()\n", + "# class SGD: Gradient descent (with momentum) optimizer.\n", + "opt = tf.keras.optimizers.SGD(learning_rate=0.001) #Used Stochastic gradient descent with a learning rate of 0.001\n", + "# List of metrics to be evaluated by the model during training and testing. \n", + "# Each of this can be a string (name of a built-in function), function or a tf.keras.metrics.\n", + "model.compile(optimizer=opt,\n", + " loss='mse',\n", + " metrics=['mse'])\n", + "\n", + "#Keras provides the capability to register callbacks when training a deep learning model.\n", + "#One of the default callbacks that is registered when training all deep learning models is the History callback. \n", + "#It records training metrics for each epoch. This includes the loss and the accuracy (for classification problems) as well as the loss and accuracy for the validation dataset, if one is set.\n", + "#The history object is returned from calls to the fit() function used to train the model. Metrics are stored in a dictionary in the history member of the object returned\n", + "# We now fit our model\n", + "history = model.fit(X_train, y_train, epochs=100, validation_data=(X_val, y_val),shuffle=True)\n", + "\n", + "# Calculating loss and Mean Squared Error\n", + "loss,mse = model.evaluate(X_test, y_test, verbose=1)\n", + "print('MSE: %.3f' % mse)\n" + ], + "metadata": { + "id": "r32N1xK2ziOs", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "d4858654-c749-4d05-f2a0-f59140e5ebee" + }, + "execution_count": 333, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model: \"sequential_72\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " dense_276 (Dense) (None, 5) 30 \n", + " \n", + " dense_277 (Dense) (None, 5) 30 \n", + " \n", + " dense_278 (Dense) (None, 1) 6 \n", + " \n", + "=================================================================\n", + "Total params: 66\n", + "Trainable params: 66\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "Epoch 1/100\n", + "2/2 [==============================] - 1s 211ms/step - loss: 11418.4863 - mse: 11416.1514 - val_loss: 11797.5723 - val_mse: 11795.2266\n", + "Epoch 2/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 11381.4902 - mse: 11379.1396 - val_loss: 11764.4346 - val_mse: 11762.0537\n", + "Epoch 3/100\n", + "2/2 [==============================] - 0s 40ms/step - loss: 11319.5342 - mse: 11317.1299 - val_loss: 11701.9160 - val_mse: 11699.4424\n", + "Epoch 4/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 11193.3789 - mse: 11190.8477 - val_loss: 11538.7178 - val_mse: 11536.0410\n", + "Epoch 5/100\n", + "2/2 [==============================] - 0s 37ms/step - loss: 10837.9756 - mse: 10835.2168 - val_loss: 11054.7256 - val_mse: 11051.6855\n", + "Epoch 6/100\n", + "2/2 [==============================] - 0s 39ms/step - loss: 9768.2500 - mse: 9765.0059 - val_loss: 9452.3984 - val_mse: 9448.6250\n", + "Epoch 7/100\n", + "2/2 [==============================] - 0s 46ms/step - loss: 7204.6885 - mse: 7200.7031 - val_loss: 7531.0308 - val_mse: 7526.3203\n", + "Epoch 8/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 6138.2852 - mse: 6133.5791 - val_loss: 7015.1108 - val_mse: 7010.1724\n", + "Epoch 9/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 5675.4155 - mse: 5670.4131 - val_loss: 6443.2871 - val_mse: 6437.9004\n", + "Epoch 10/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 4924.8374 - mse: 4919.3262 - val_loss: 4873.3057 - val_mse: 4867.3457\n", + "Epoch 11/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 2901.7639 - mse: 2895.6304 - val_loss: 1563.1340 - val_mse: 1556.4912\n", + "Epoch 12/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 1196.4558 - mse: 1189.7477 - val_loss: 2004.8619 - val_mse: 1998.1603\n", + "Epoch 13/100\n", + "2/2 [==============================] - 0s 54ms/step - loss: 1184.0326 - mse: 1177.4739 - val_loss: 430.9583 - val_mse: 423.9537\n", + "Epoch 14/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 455.3690 - mse: 448.5584 - val_loss: 456.4833 - val_mse: 449.7288\n", + "Epoch 15/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 250.1012 - mse: 243.2438 - val_loss: 248.5868 - val_mse: 241.4736\n", + "Epoch 16/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 393.8589 - mse: 386.7563 - val_loss: 433.7584 - val_mse: 426.7287\n", + "Epoch 17/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 395.0141 - mse: 388.0737 - val_loss: 201.4567 - val_mse: 194.3307\n", + "Epoch 18/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 169.5228 - mse: 162.4305 - val_loss: 237.4022 - val_mse: 230.0564\n", + "Epoch 19/100\n", + "2/2 [==============================] - 0s 44ms/step - loss: 384.4366 - mse: 377.2687 - val_loss: 251.0471 - val_mse: 243.8818\n", + "Epoch 20/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 251.6811 - mse: 244.5088 - val_loss: 234.2657 - val_mse: 227.0899\n", + "Epoch 21/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 193.9461 - mse: 186.7588 - val_loss: 193.9609 - val_mse: 186.6841\n", + "Epoch 22/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 168.8264 - mse: 161.6039 - val_loss: 131.7841 - val_mse: 124.4096\n", + "Epoch 23/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 112.2750 - mse: 104.9716 - val_loss: 123.3595 - val_mse: 116.0363\n", + "Epoch 24/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 83.0071 - mse: 75.6768 - val_loss: 156.8059 - val_mse: 149.4582\n", + "Epoch 25/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 148.3252 - mse: 140.9865 - val_loss: 239.3540 - val_mse: 231.9943\n", + "Epoch 26/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 132.0273 - mse: 124.6787 - val_loss: 108.1199 - val_mse: 100.6524\n", + "Epoch 27/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 107.8259 - mse: 100.4620 - val_loss: 103.5099 - val_mse: 96.1465\n", + "Epoch 28/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 76.6895 - mse: 69.2890 - val_loss: 131.4632 - val_mse: 124.0220\n", + "Epoch 29/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 71.6960 - mse: 64.2655 - val_loss: 74.7270 - val_mse: 67.2968\n", + "Epoch 30/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 52.5191 - mse: 45.0612 - val_loss: 89.9648 - val_mse: 82.5851\n", + "Epoch 31/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 47.8982 - mse: 40.4946 - val_loss: 85.8010 - val_mse: 78.2462\n", + "Epoch 32/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 153.8491 - mse: 146.4391 - val_loss: 139.7235 - val_mse: 132.0751\n", + "Epoch 33/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 157.7070 - mse: 150.2432 - val_loss: 102.4448 - val_mse: 94.8822\n", + "Epoch 34/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 61.2996 - mse: 53.8088 - val_loss: 64.4295 - val_mse: 56.8676\n", + "Epoch 35/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 81.1720 - mse: 73.6843 - val_loss: 71.4335 - val_mse: 63.7964\n", + "Epoch 36/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 65.1870 - mse: 57.6479 - val_loss: 53.2543 - val_mse: 45.6642\n", + "Epoch 37/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 68.4078 - mse: 60.8808 - val_loss: 59.5791 - val_mse: 52.0222\n", + "Epoch 38/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 146.7515 - mse: 139.2625 - val_loss: 64.9574 - val_mse: 57.4160\n", + "Epoch 39/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 74.6466 - mse: 67.1569 - val_loss: 52.7702 - val_mse: 45.1745\n", + "Epoch 40/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 113.0724 - mse: 105.5825 - val_loss: 43.5594 - val_mse: 35.9724\n", + "Epoch 41/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 40.0991 - mse: 32.5448 - val_loss: 40.5156 - val_mse: 32.9414\n", + "Epoch 42/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 31.6662 - mse: 24.1127 - val_loss: 42.3432 - val_mse: 34.7874\n", + "Epoch 43/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 30.1720 - mse: 22.6122 - val_loss: 37.1321 - val_mse: 29.5690\n", + "Epoch 44/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 30.1532 - mse: 22.5930 - val_loss: 41.0939 - val_mse: 33.5480\n", + "Epoch 45/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 30.3057 - mse: 22.7432 - val_loss: 36.4672 - val_mse: 28.8865\n", + "Epoch 46/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 33.3887 - mse: 25.8263 - val_loss: 37.3118 - val_mse: 29.7569\n", + "Epoch 47/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 29.5319 - mse: 21.9649 - val_loss: 32.6861 - val_mse: 25.0888\n", + "Epoch 48/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 46.6220 - mse: 39.0535 - val_loss: 70.5584 - val_mse: 62.9615\n", + "Epoch 49/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 82.8841 - mse: 75.2802 - val_loss: 128.8168 - val_mse: 121.2854\n", + "Epoch 50/100\n", + "2/2 [==============================] - 0s 45ms/step - loss: 104.0572 - mse: 96.4923 - val_loss: 68.8889 - val_mse: 61.3232\n", + "Epoch 51/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 59.8425 - mse: 52.3165 - val_loss: 47.0151 - val_mse: 39.4877\n", + "Epoch 52/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 39.9653 - mse: 32.4390 - val_loss: 34.6718 - val_mse: 27.0581\n", + "Epoch 53/100\n", + "2/2 [==============================] - 0s 39ms/step - loss: 43.9435 - mse: 36.3786 - val_loss: 43.3251 - val_mse: 35.7609\n", + "Epoch 54/100\n", + "2/2 [==============================] - 0s 40ms/step - loss: 46.1566 - mse: 38.5965 - val_loss: 54.2583 - val_mse: 46.6594\n", + "Epoch 55/100\n", + "2/2 [==============================] - 0s 39ms/step - loss: 42.6750 - mse: 35.1058 - val_loss: 41.3832 - val_mse: 33.7114\n", + "Epoch 56/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 44.8004 - mse: 37.2117 - val_loss: 38.7683 - val_mse: 31.1309\n", + "Epoch 57/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 69.2213 - mse: 61.6679 - val_loss: 54.0625 - val_mse: 46.4088\n", + "Epoch 58/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 75.9660 - mse: 68.3876 - val_loss: 60.2315 - val_mse: 52.5822\n", + "Epoch 59/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 82.0860 - mse: 74.5173 - val_loss: 45.2825 - val_mse: 37.6803\n", + "Epoch 60/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 77.4835 - mse: 69.9139 - val_loss: 56.7821 - val_mse: 49.1930\n", + "Epoch 61/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 81.4854 - mse: 73.8773 - val_loss: 59.6619 - val_mse: 52.1175\n", + "Epoch 62/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 108.6703 - mse: 101.0378 - val_loss: 39.9155 - val_mse: 32.2588\n", + "Epoch 63/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 62.6364 - mse: 55.0380 - val_loss: 52.9783 - val_mse: 45.4024\n", + "Epoch 64/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 63.7272 - mse: 56.1233 - val_loss: 45.7007 - val_mse: 38.0880\n", + "Epoch 65/100\n", + "2/2 [==============================] - 0s 39ms/step - loss: 62.2037 - mse: 54.6596 - val_loss: 54.3321 - val_mse: 46.7697\n", + "Epoch 66/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 32.8145 - mse: 25.2191 - val_loss: 37.8027 - val_mse: 30.2405\n", + "Epoch 67/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 33.8898 - mse: 26.2878 - val_loss: 31.8859 - val_mse: 24.3023\n", + "Epoch 68/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 26.9789 - mse: 19.3832 - val_loss: 28.1524 - val_mse: 20.5452\n", + "Epoch 69/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 27.4114 - mse: 19.8042 - val_loss: 42.9619 - val_mse: 35.3707\n", + "Epoch 70/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 28.1043 - mse: 20.5205 - val_loss: 35.2185 - val_mse: 27.5589\n", + "Epoch 71/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 63.9012 - mse: 56.3251 - val_loss: 44.2676 - val_mse: 36.6617\n", + "Epoch 72/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 34.4411 - mse: 26.8566 - val_loss: 29.6403 - val_mse: 22.0000\n", + "Epoch 73/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 34.7937 - mse: 27.2050 - val_loss: 31.5925 - val_mse: 23.9953\n", + "Epoch 74/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 30.6936 - mse: 23.0804 - val_loss: 59.2940 - val_mse: 51.7485\n", + "Epoch 75/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 30.0784 - mse: 22.5103 - val_loss: 34.3947 - val_mse: 26.7787\n", + "Epoch 76/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 31.8078 - mse: 24.1901 - val_loss: 40.0238 - val_mse: 32.4429\n", + "Epoch 77/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 28.7635 - mse: 21.1724 - val_loss: 32.0424 - val_mse: 24.4303\n", + "Epoch 78/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 25.8770 - mse: 18.2752 - val_loss: 26.6314 - val_mse: 19.0009\n", + "Epoch 79/100\n", + "2/2 [==============================] - 0s 44ms/step - loss: 26.9749 - mse: 19.3637 - val_loss: 32.3271 - val_mse: 24.7357\n", + "Epoch 80/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 37.2566 - mse: 29.6363 - val_loss: 75.8318 - val_mse: 68.2977\n", + "Epoch 81/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 33.9857 - mse: 26.4096 - val_loss: 28.4239 - val_mse: 20.8185\n", + "Epoch 82/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 29.9180 - mse: 22.3235 - val_loss: 42.6667 - val_mse: 34.9937\n", + "Epoch 83/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 46.6476 - mse: 39.0387 - val_loss: 36.6959 - val_mse: 29.0672\n", + "Epoch 84/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 30.1005 - mse: 22.4753 - val_loss: 38.1164 - val_mse: 30.5389\n", + "Epoch 85/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 29.7866 - mse: 22.1713 - val_loss: 33.4295 - val_mse: 25.8379\n", + "Epoch 86/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 33.0483 - mse: 25.4297 - val_loss: 32.7919 - val_mse: 25.1627\n", + "Epoch 87/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 50.3415 - mse: 42.7100 - val_loss: 29.4882 - val_mse: 21.8333\n", + "Epoch 88/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 40.8899 - mse: 33.2522 - val_loss: 29.2451 - val_mse: 21.6014\n", + "Epoch 89/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 36.7769 - mse: 29.1432 - val_loss: 34.9894 - val_mse: 27.3794\n", + "Epoch 90/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 32.2015 - mse: 24.5761 - val_loss: 35.8440 - val_mse: 28.2535\n", + "Epoch 91/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 27.4780 - mse: 19.8838 - val_loss: 33.7019 - val_mse: 26.0209\n", + "Epoch 92/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 43.7604 - mse: 36.1356 - val_loss: 53.3165 - val_mse: 45.6931\n", + "Epoch 93/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 32.9278 - mse: 25.3086 - val_loss: 38.9662 - val_mse: 31.3591\n", + "Epoch 94/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 27.7686 - mse: 20.1668 - val_loss: 34.6928 - val_mse: 27.0489\n", + "Epoch 95/100\n", + "2/2 [==============================] - 0s 39ms/step - loss: 27.8141 - mse: 20.1813 - val_loss: 37.5276 - val_mse: 29.9317\n", + "Epoch 96/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 29.9389 - mse: 22.3341 - val_loss: 37.2944 - val_mse: 29.6701\n", + "Epoch 97/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 26.4411 - mse: 18.8166 - val_loss: 32.3081 - val_mse: 24.6977\n", + "Epoch 98/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 27.2705 - mse: 19.6473 - val_loss: 31.9357 - val_mse: 24.3393\n", + "Epoch 99/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 26.6726 - mse: 19.0527 - val_loss: 30.4865 - val_mse: 22.8794\n", + "Epoch 100/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 25.9616 - mse: 18.3304 - val_loss: 40.2791 - val_mse: 32.6620\n", + "1/1 [==============================] - 0s 24ms/step - loss: 53.4749 - mse: 45.8578\n", + "MSE: 45.858\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Predicted value of our model\n", + "y_pred = model.predict(X_test)" + ], + "metadata": { + "id": "A51XjIhquAsV" + }, + "execution_count": 334, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## Plot Loss\n", + "\n", + "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." + ], + "metadata": { + "id": "jmeP6vt3z0oA" + } + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(10,10))\n", + "\n", + "# list all data in history\n", + "print(history.history.keys())\n", + "\n", + "loss_train = history.history['loss'] # training loss\n", + "loss_val = history.history['val_loss'] # validation loss\n", + "epochs = range(0,100) # since epochs=100\n", + "\n", + "#Plotting training loss and validation against epochs\n", + "plt.plot(epochs, loss_train, 'g', label='Training loss')\n", + "plt.plot(epochs, loss_val, 'b', label='validation loss')\n", + "\n", + "plt.title('Training and Validation loss')\n", + "plt.xlabel('Epochs')\n", + "plt.ylabel('Loss')\n", + "plt.legend()\n", + "plt.show()" + ], + "metadata": { + "id": "RQTNqPHm0mOi", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 638 + }, + "outputId": "0c611652-2606-4db1-ee6d-ce1b1488aa4f" + }, + "execution_count": 335, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "dict_keys(['loss', 'mse', 'val_loss', 'val_mse'])\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Evaluation Metrics\n", + "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." + ], + "metadata": { + "id": "IVrR_vXA7kOt" + } + }, + { + "cell_type": "code", + "source": [ + "import numpy as np\n", + "def mean_squared_error(y_true, y_pred):\n", + " return np.mean(np.square(y_true - y_pred))\n", + "\n", + "from sklearn.metrics import r2_score\n", + "\n", + "mse = mean_squared_error(y_test, y_pred) # Pass appropriate parts of dataset\n", + "print(\"MSE:\", mse)\n", + "\n", + "accu = r2_score(y_test, y_pred) # Pass appropriate parts of dataset\n", + "print(\"Accuracy:\", accu)" + ], + "metadata": { + "id": "-lOHpD8-7ggm", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "a1255f81-5034-45f5-cd9c-ae3ff612af9c" + }, + "execution_count": 336, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "MSE: 20035.846584531457\n", + "Accuracy: 0.9954914516463528\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Your own custom model\n", + "Build a custom model of your own choice.
\n", + "Describe it in detail in Markdown/Latex in the cell below.
\n", + "Visualise the loss, as before." + ], + "metadata": { + "id": "CHqzF1OU0pBg" + } + }, + { + "cell_type": "markdown", + "source": [ + "# Custom model\n", + "```\n", + "Input of shape 5\n", + "\n", + "Dense of shape 5\n", + "\n", + "Dense of shape 6\n", + "\n", + "Dense of shape 7\n", + "\n", + "Dense of shape 8\n", + "\n", + "Dense of shape 9\n", + "\n", + "Dense of shape 1\n", + "```" + ], + "metadata": { + "id": "2zB5klv-9_ol" + } + }, + { + "cell_type": "code", + "source": [ + "from tensorflow.keras import layers\n", + "from tensorflow import keras\n", + "\n", + "Model = keras.Sequential(\n", + " [\n", + " layers.Dense(5, activation=\"relu\",input_shape=(5,)),\n", + " layers.Dense(6, activation=\"relu\"),\n", + " layers.Dense(7, activation=\"relu\"),\n", + " layers.Dense(8, activation=\"relu\"),\n", + " layers.Dense(9, activation=\"relu\"),\n", + " layers.Dense(1),\n", + " ]\n", + ")\n", + "\n", + "Model.summary()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "MVWK02bb_5tj", + "outputId": "2fef530d-0d1f-4014-fe7d-257f2d4c84a8" + }, + "execution_count": 337, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model: \"sequential_73\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " dense_279 (Dense) (None, 5) 30 \n", + " \n", + " dense_280 (Dense) (None, 6) 36 \n", + " \n", + " dense_281 (Dense) (None, 7) 49 \n", + " \n", + " dense_282 (Dense) (None, 8) 64 \n", + " \n", + " dense_283 (Dense) (None, 9) 81 \n", + " \n", + " dense_284 (Dense) (None, 1) 10 \n", + " \n", + "=================================================================\n", + "Total params: 270\n", + "Trainable params: 270\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "Used **Adam optimizer** and **Mean Squared Error Loss**\n", + "\n", + "`learning_rate=0.005`" + ], + "metadata": { + "id": "feWWXA3aHb8-" + } + }, + { + "cell_type": "code", + "source": [ + "opt = keras.optimizers.Adam(learning_rate=0.005)\n", + "Model.compile(optimizer=opt,\n", + " loss='mse',\n", + " metrics=['mse'])" + ], + "metadata": { + "id": "J1atOOeSCDt9" + }, + "execution_count": 338, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "#Model Fitting\n", + "\n", + " Evaluating the Mean Squared Error and the loss " + ], + "metadata": { + "id": "S31xCkUmIeph" + } + }, + { + "cell_type": "code", + "source": [ + "history = Model.fit(X_train, y_train, epochs=100, validation_data=(X_val, y_val),shuffle=True)\n", + "\n", + "# Calculating loss and Mean Squared Error\n", + "loss,mse = Model.evaluate(X_test, y_test, verbose=1)\n", + "print('MSE: %.3f' % mse)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "50ARzWD7BIQG", + "outputId": "d1740b8e-b04a-46fd-854b-f27744cf0e5b" + }, + "execution_count": 339, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Epoch 1/100\n", + "2/2 [==============================] - 1s 159ms/step - loss: 11427.6221 - mse: 11427.6221 - val_loss: 11826.8066 - val_mse: 11826.8066\n", + "Epoch 2/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 11425.1660 - mse: 11425.1660 - val_loss: 11826.4512 - val_mse: 11826.4512\n", + "Epoch 3/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 11421.2070 - mse: 11421.2070 - val_loss: 11826.6904 - val_mse: 11826.6904\n", + "Epoch 4/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 11417.7715 - mse: 11417.7715 - val_loss: 11824.8057 - val_mse: 11824.8057\n", + "Epoch 5/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 11412.4922 - mse: 11412.4922 - val_loss: 11824.1260 - val_mse: 11824.1260\n", + "Epoch 6/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 11407.2559 - mse: 11407.2559 - val_loss: 11822.7324 - val_mse: 11822.7324\n", + "Epoch 7/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 11400.3027 - mse: 11400.3027 - val_loss: 11820.8984 - val_mse: 11820.8984\n", + "Epoch 8/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 11392.5713 - mse: 11392.5713 - val_loss: 11818.4502 - val_mse: 11818.4502\n", + "Epoch 9/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 11380.6875 - mse: 11380.6875 - val_loss: 11814.3408 - val_mse: 11814.3408\n", + "Epoch 10/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 11368.0615 - mse: 11368.0615 - val_loss: 11806.5146 - val_mse: 11806.5146\n", + "Epoch 11/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 11352.5352 - mse: 11352.5352 - val_loss: 11795.9229 - val_mse: 11795.9229\n", + "Epoch 12/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 11331.5576 - mse: 11331.5576 - val_loss: 11779.6836 - val_mse: 11779.6836\n", + "Epoch 13/100\n", + "2/2 [==============================] - 0s 41ms/step - loss: 11306.4258 - mse: 11306.4258 - val_loss: 11756.3340 - val_mse: 11756.3340\n", + "Epoch 14/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 11275.2588 - mse: 11275.2588 - val_loss: 11726.7891 - val_mse: 11726.7891\n", + "Epoch 15/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 11235.5869 - mse: 11235.5869 - val_loss: 11687.4688 - val_mse: 11687.4688\n", + "Epoch 16/100\n", + "2/2 [==============================] - 0s 41ms/step - loss: 11191.7637 - mse: 11191.7637 - val_loss: 11643.2041 - val_mse: 11643.2041\n", + "Epoch 17/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 11131.1006 - mse: 11131.1006 - val_loss: 11584.2568 - val_mse: 11584.2568\n", + "Epoch 18/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 11061.1982 - mse: 11061.1982 - val_loss: 11517.0957 - val_mse: 11517.0957\n", + "Epoch 19/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 10980.4180 - mse: 10980.4180 - val_loss: 11434.0840 - val_mse: 11434.0840\n", + "Epoch 20/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 10872.0918 - mse: 10872.0918 - val_loss: 11334.4277 - val_mse: 11334.4277\n", + "Epoch 21/100\n", + "2/2 [==============================] - 0s 26ms/step - loss: 10742.9365 - mse: 10742.9365 - val_loss: 11210.0312 - val_mse: 11210.0312\n", + "Epoch 22/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 10599.7979 - mse: 10599.7979 - val_loss: 11057.8154 - val_mse: 11057.8154\n", + "Epoch 23/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 10409.5566 - mse: 10409.5566 - val_loss: 10877.9336 - val_mse: 10877.9336\n", + "Epoch 24/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 10199.8418 - mse: 10199.8418 - val_loss: 10665.2266 - val_mse: 10665.2266\n", + "Epoch 25/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 9936.9229 - mse: 9936.9229 - val_loss: 10407.0322 - val_mse: 10407.0322\n", + "Epoch 26/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 9658.6787 - mse: 9658.6787 - val_loss: 10101.6191 - val_mse: 10101.6191\n", + "Epoch 27/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 9290.3643 - mse: 9290.3643 - val_loss: 9751.7842 - val_mse: 9751.7842\n", + "Epoch 28/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 8922.1719 - mse: 8922.1719 - val_loss: 9352.0322 - val_mse: 9352.0322\n", + "Epoch 29/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 8469.6445 - mse: 8469.6445 - val_loss: 8891.9775 - val_mse: 8891.9775\n", + "Epoch 30/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 7963.9814 - mse: 7963.9814 - val_loss: 8377.5244 - val_mse: 8377.5244\n", + "Epoch 31/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 7450.6709 - mse: 7450.6709 - val_loss: 7821.2070 - val_mse: 7821.2070\n", + "Epoch 32/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 6952.2651 - mse: 6952.2651 - val_loss: 7247.1602 - val_mse: 7247.1602\n", + "Epoch 33/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 6363.9619 - mse: 6363.9619 - val_loss: 6616.2236 - val_mse: 6616.2236\n", + "Epoch 34/100\n", + "2/2 [==============================] - 0s 40ms/step - loss: 5930.1753 - mse: 5930.1753 - val_loss: 5974.7832 - val_mse: 5974.7832\n", + "Epoch 35/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 5425.3872 - mse: 5425.3872 - val_loss: 5315.7134 - val_mse: 5315.7134\n", + "Epoch 36/100\n", + "2/2 [==============================] - 0s 58ms/step - loss: 5046.5732 - mse: 5046.5732 - val_loss: 4701.0107 - val_mse: 4701.0107\n", + "Epoch 37/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 4652.1777 - mse: 4652.1777 - val_loss: 4160.1240 - val_mse: 4160.1240\n", + "Epoch 38/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 4247.1016 - mse: 4247.1016 - val_loss: 3728.5425 - val_mse: 3728.5425\n", + "Epoch 39/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 3844.1511 - mse: 3844.1511 - val_loss: 3430.9639 - val_mse: 3430.9639\n", + "Epoch 40/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 3561.4614 - mse: 3561.4614 - val_loss: 3178.0229 - val_mse: 3178.0229\n", + "Epoch 41/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 3245.1211 - mse: 3245.1211 - val_loss: 2946.9412 - val_mse: 2946.9412\n", + "Epoch 42/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 2944.0000 - mse: 2944.0000 - val_loss: 2717.1165 - val_mse: 2717.1165\n", + "Epoch 43/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 2639.2734 - mse: 2639.2734 - val_loss: 2485.2793 - val_mse: 2485.2793\n", + "Epoch 44/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 2371.1079 - mse: 2371.1079 - val_loss: 2305.6162 - val_mse: 2305.6162\n", + "Epoch 45/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 2099.1260 - mse: 2099.1260 - val_loss: 2155.9658 - val_mse: 2155.9658\n", + "Epoch 46/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 1844.1104 - mse: 1844.1104 - val_loss: 2075.6841 - val_mse: 2075.6841\n", + "Epoch 47/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 1601.7657 - mse: 1601.7657 - val_loss: 2007.2303 - val_mse: 2007.2303\n", + "Epoch 48/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 1430.7605 - mse: 1430.7605 - val_loss: 1873.4553 - val_mse: 1873.4553\n", + "Epoch 49/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 1282.9199 - mse: 1282.9199 - val_loss: 1744.9751 - val_mse: 1744.9751\n", + "Epoch 50/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 1151.5432 - mse: 1151.5432 - val_loss: 1637.4865 - val_mse: 1637.4865\n", + "Epoch 51/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 1058.7981 - mse: 1058.7981 - val_loss: 1534.5305 - val_mse: 1534.5305\n", + "Epoch 52/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 1000.0366 - mse: 1000.0366 - val_loss: 1494.2034 - val_mse: 1494.2034\n", + "Epoch 53/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 938.5808 - mse: 938.5808 - val_loss: 1437.9701 - val_mse: 1437.9701\n", + "Epoch 54/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 886.9390 - mse: 886.9390 - val_loss: 1361.4518 - val_mse: 1361.4518\n", + "Epoch 55/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 833.4323 - mse: 833.4323 - val_loss: 1271.1262 - val_mse: 1271.1262\n", + "Epoch 56/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 786.8690 - mse: 786.8690 - val_loss: 1218.4502 - val_mse: 1218.4502\n", + "Epoch 57/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 743.7040 - mse: 743.7040 - val_loss: 1148.6993 - val_mse: 1148.6993\n", + "Epoch 58/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 711.2599 - mse: 711.2599 - val_loss: 1065.0968 - val_mse: 1065.0968\n", + "Epoch 59/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 678.9846 - mse: 678.9846 - val_loss: 981.6328 - val_mse: 981.6328\n", + "Epoch 60/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 652.9368 - mse: 652.9368 - val_loss: 863.3831 - val_mse: 863.3831\n", + "Epoch 61/100\n", + "2/2 [==============================] - 0s 50ms/step - loss: 621.1463 - mse: 621.1463 - val_loss: 831.8065 - val_mse: 831.8065\n", + "Epoch 62/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 586.3661 - mse: 586.3661 - val_loss: 762.5015 - val_mse: 762.5015\n", + "Epoch 63/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 571.3463 - mse: 571.3463 - val_loss: 674.2130 - val_mse: 674.2130\n", + "Epoch 64/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 541.3625 - mse: 541.3625 - val_loss: 655.6013 - val_mse: 655.6013\n", + "Epoch 65/100\n", + "2/2 [==============================] - 0s 29ms/step - loss: 517.7994 - mse: 517.7994 - val_loss: 626.0479 - val_mse: 626.0479\n", + "Epoch 66/100\n", + "2/2 [==============================] - 0s 28ms/step - loss: 499.6670 - mse: 499.6670 - val_loss: 621.8913 - val_mse: 621.8913\n", + "Epoch 67/100\n", + "2/2 [==============================] - 0s 27ms/step - loss: 480.0826 - mse: 480.0826 - val_loss: 575.8791 - val_mse: 575.8791\n", + "Epoch 68/100\n", + "2/2 [==============================] - 0s 37ms/step - loss: 466.3652 - mse: 466.3652 - val_loss: 557.4099 - val_mse: 557.4099\n", + "Epoch 69/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 456.1577 - mse: 456.1577 - val_loss: 547.2971 - val_mse: 547.2971\n", + "Epoch 70/100\n", + "2/2 [==============================] - 0s 38ms/step - loss: 440.4045 - mse: 440.4045 - val_loss: 531.0605 - val_mse: 531.0605\n", + "Epoch 71/100\n", + "2/2 [==============================] - 0s 43ms/step - loss: 426.7056 - mse: 426.7056 - val_loss: 518.6238 - val_mse: 518.6238\n", + "Epoch 72/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 417.1322 - mse: 417.1322 - val_loss: 512.4182 - val_mse: 512.4182\n", + "Epoch 73/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 419.5732 - mse: 419.5732 - val_loss: 484.2965 - val_mse: 484.2965\n", + "Epoch 74/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 390.6739 - mse: 390.6739 - val_loss: 493.0372 - val_mse: 493.0372\n", + "Epoch 75/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 387.9776 - mse: 387.9776 - val_loss: 494.2258 - val_mse: 494.2258\n", + "Epoch 76/100\n", + "2/2 [==============================] - 0s 53ms/step - loss: 373.6021 - mse: 373.6021 - val_loss: 469.4347 - val_mse: 469.4347\n", + "Epoch 77/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 361.4257 - mse: 361.4257 - val_loss: 455.1640 - val_mse: 455.1640\n", + "Epoch 78/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 354.4913 - mse: 354.4913 - val_loss: 458.4984 - val_mse: 458.4984\n", + "Epoch 79/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 340.6790 - mse: 340.6790 - val_loss: 454.9095 - val_mse: 454.9095\n", + "Epoch 80/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 333.8256 - mse: 333.8256 - val_loss: 446.0440 - val_mse: 446.0440\n", + "Epoch 81/100\n", + "2/2 [==============================] - 0s 36ms/step - loss: 335.3815 - mse: 335.3815 - val_loss: 431.2281 - val_mse: 431.2281\n", + "Epoch 82/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 316.9374 - mse: 316.9374 - val_loss: 432.9009 - val_mse: 432.9009\n", + "Epoch 83/100\n", + "2/2 [==============================] - 0s 30ms/step - loss: 309.5587 - mse: 309.5587 - val_loss: 430.1270 - val_mse: 430.1270\n", + "Epoch 84/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 302.8607 - mse: 302.8607 - val_loss: 425.5235 - val_mse: 425.5235\n", + "Epoch 85/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 306.2922 - mse: 306.2922 - val_loss: 413.6851 - val_mse: 413.6851\n", + "Epoch 86/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 298.5685 - mse: 298.5685 - val_loss: 415.8441 - val_mse: 415.8441\n", + "Epoch 87/100\n", + "2/2 [==============================] - 0s 32ms/step - loss: 285.2379 - mse: 285.2379 - val_loss: 411.2028 - val_mse: 411.2028\n", + "Epoch 88/100\n", + "2/2 [==============================] - 0s 33ms/step - loss: 274.5176 - mse: 274.5176 - val_loss: 403.0289 - val_mse: 403.0289\n", + "Epoch 89/100\n", + "2/2 [==============================] - 0s 31ms/step - loss: 268.5383 - mse: 268.5383 - val_loss: 400.3427 - val_mse: 400.3427\n", + "Epoch 90/100\n", + "2/2 [==============================] - 0s 34ms/step - loss: 264.4914 - mse: 264.4914 - val_loss: 395.9077 - val_mse: 395.9077\n", + "Epoch 91/100\n", + "2/2 [==============================] - 0s 53ms/step - loss: 257.8169 - mse: 257.8169 - val_loss: 392.1808 - val_mse: 392.1808\n", + "Epoch 92/100\n", + "2/2 [==============================] - 0s 59ms/step - loss: 254.5001 - mse: 254.5001 - val_loss: 386.7127 - val_mse: 386.7127\n", + "Epoch 93/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 246.3999 - mse: 246.3999 - val_loss: 382.8686 - val_mse: 382.8686\n", + "Epoch 94/100\n", + "2/2 [==============================] - 0s 37ms/step - loss: 245.9751 - mse: 245.9751 - val_loss: 377.1136 - val_mse: 377.1136\n", + "Epoch 95/100\n", + "2/2 [==============================] - 0s 42ms/step - loss: 236.7425 - mse: 236.7425 - val_loss: 378.0335 - val_mse: 378.0335\n", + "Epoch 96/100\n", + "2/2 [==============================] - 0s 41ms/step - loss: 233.4299 - mse: 233.4299 - val_loss: 376.2889 - val_mse: 376.2889\n", + "Epoch 97/100\n", + "2/2 [==============================] - 0s 39ms/step - loss: 227.0180 - mse: 227.0180 - val_loss: 371.7325 - val_mse: 371.7325\n", + "Epoch 98/100\n", + "2/2 [==============================] - 0s 45ms/step - loss: 224.4904 - mse: 224.4904 - val_loss: 369.9965 - val_mse: 369.9965\n", + "Epoch 99/100\n", + "2/2 [==============================] - 0s 43ms/step - loss: 220.6570 - mse: 220.6570 - val_loss: 370.7662 - val_mse: 370.7662\n", + "Epoch 100/100\n", + "2/2 [==============================] - 0s 35ms/step - loss: 216.3112 - mse: 216.3112 - val_loss: 378.1454 - val_mse: 378.1454\n", + "1/1 [==============================] - 0s 29ms/step - loss: 746.9486 - mse: 746.9486\n", + "MSE: 746.949\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Predicted value of our model\n", + "y_pred = Model.predict(X_test)" + ], + "metadata": { + "id": "ab43eJ3XDrQO" + }, + "execution_count": 340, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "#Plotting Loss" + ], + "metadata": { + "id": "zUR8xRWIJuFp" + } + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(9,9))\n", + "\n", + "# list all data in history\n", + "print(history.history.keys())\n", + "\n", + "loss_train = history.history['loss'] # training loss\n", + "loss_val = history.history['val_loss'] # validation loss\n", + "epochs = range(0,100) # since epochs=100\n", + "\n", + "#Plotting training loss and validation against epochs\n", + "plt.plot(epochs, loss_train, 'g', label='Training loss')\n", + "plt.plot(epochs, loss_val, 'b', label='validation loss')\n", + "\n", + "plt.title('Training and Validation loss')\n", + "plt.xlabel('Epochs')\n", + "plt.ylabel('Loss')\n", + "plt.legend()\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 584 + }, + "id": "yqXQt2KTD2pG", + "outputId": "97e78d71-38f7-4f34-e1f9-98ef9335d118" + }, + "execution_count": 341, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "dict_keys(['loss', 'mse', 'val_loss', 'val_mse'])\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + } + ] +} \ No newline at end of file From 5c878991e53f323bf197dc52177787cdc441d200 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:29:43 +0530 Subject: [PATCH 20/35] 3 --- CNN Digit Classification model.ipynb | 677 +++++++++++++++++++++++++++ 1 file changed, 677 insertions(+) create mode 100644 CNN Digit Classification model.ipynb diff --git a/CNN Digit Classification model.ipynb b/CNN Digit Classification model.ipynb new file mode 100644 index 0000000..a544df9 --- /dev/null +++ b/CNN Digit Classification model.ipynb @@ -0,0 +1,677 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "A3_200526.ipynb", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "gpuClass": "standard", + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Assignment 3\n", + "\n", + " In this Assignment, we will use CNN to classify digits. \n", + "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", + "\n" + ], + "metadata": { + "id": "VGHh_5UYzKpV" + } + }, + { + "cell_type": "markdown", + "source": [ + "## Importing TensorFlow and other libraries" + ], + "metadata": { + "id": "JnsMbCPNzPAr" + } + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "id": "HRLTw3cMwvi7" + }, + "outputs": [], + "source": [ + "import tensorflow as tf\n", + "from numpy import mean\n", + "from numpy import std\n", + "from matplotlib import pyplot as plt\n", + "from sklearn.model_selection import KFold\n", + "from tensorflow.keras.datasets import mnist\n", + "from tensorflow.keras.utils import to_categorical\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.layers import Conv2D\n", + "from tensorflow.keras.layers import MaxPooling2D\n", + "from tensorflow.keras.layers import Dense\n", + "from tensorflow.keras.layers import Flatten\n", + "from tensorflow.keras.layers import BatchNormalization\n", + "from tensorflow.keras.optimizers import SGD" + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Importing the dataset" + ], + "metadata": { + "id": "6Ji7HGpgzSPi" + } + }, + { + "cell_type": "code", + "source": [ + "# Import the dataset\n", + "\n", + "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" + ], + "metadata": { + "id": "oEW3KDEvzIHL", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "8a2986ea-a144-45dd-a12f-a9e7d8146cc8" + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n", + "11493376/11490434 [==============================] - 0s 0us/step\n", + "11501568/11490434 [==============================] - 0s 0us/step\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Printing the shape" + ], + "metadata": { + "id": "E7CXFUR_Comf" + } + }, + { + "cell_type": "code", + "source": [ + "print(x_test.shape)\n", + "print(x_train.shape)\n", + "print(y_test.shape)\n", + "print(y_train.shape)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "EcjBt8UXQQ0K", + "outputId": "7cc06cc9-b9be-4777-ef65-25354539bc68" + }, + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "(10000, 28, 28)\n", + "(60000, 28, 28)\n", + "(10000,)\n", + "(60000,)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "##Splitting the dataset " + ], + "metadata": { + "id": "h-W4obzlCx-3" + } + }, + { + "cell_type": "code", + "source": [ + "# Split the dataset\n", + "\n", + "from sklearn.model_selection import train_test_split\n", + "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)\n" + ], + "metadata": { + "id": "F_sRU9dx_mYQ" + }, + "execution_count": 4, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "##Printing the shape" + ], + "metadata": { + "id": "j97BCxe5DBbw" + } + }, + { + "cell_type": "code", + "source": [ + "print(X_test.shape)\n", + "print(X_train.shape)\n", + "print(Y_test.shape)\n", + "print(Y_train.shape)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "SczEFU9gQyEi", + "outputId": "e503ed05-7ded-495a-e84e-d3830d426356" + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "(2000, 28, 28)\n", + "(8000, 28, 28)\n", + "(2000,)\n", + "(8000,)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "##Resizing the images, normalizing the pixel values and One-Hot Encoding of the target variables" + ], + "metadata": { + "id": "nGZRJnYeQxGR" + } + }, + { + "cell_type": "code", + "source": [ + "# Reshaping \n", + "img_rows,img_cols=28,28\n", + "X_train=X_train.reshape(X_train.shape[0],img_rows,img_cols,1)\n", + "X_test=X_test.reshape(X_test.shape[0],img_rows,img_cols,1)\n", + "\n", + "print(X_test.shape)\n", + "print(X_train.shape)\n", + "\n", + "# Normalizing\n", + "X_train= X_train.astype('float32')\n", + "X_test= X_test.astype('float32')\n", + "X_train= X_train/255.0\n", + "X_test= X_test/255.0\n", + "\n", + "print(Y_train.shape)\n", + "print(Y_test.shape)\n", + "\n", + "# One-Hot Encoding\n", + "Y_train= to_categorical(Y_train)\n", + "Y_test= to_categorical(Y_test)\n", + "\n", + "print(Y_train.shape)\n", + "print(Y_test.shape)" + ], + "metadata": { + "id": "rbt0WbW6sDVs", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "fc353dc4-5f0b-46b2-d5e5-9c701a06e1b1" + }, + "execution_count": 6, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "(2000, 28, 28, 1)\n", + "(8000, 28, 28, 1)\n", + "(8000,)\n", + "(2000,)\n", + "(8000, 10)\n", + "(2000, 10)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Visualizing the dataset\n", + "Printing the images with their labels." + ], + "metadata": { + "id": "EVpQheoVqoEG" + } + }, + { + "cell_type": "code", + "source": [ + "X_train__ = X_train.reshape(X_train.shape[0], 28, 28)\n", + "\n", + "# 4 rows and 4 columns \n", + "fig, axis = plt.subplots(4, 4, figsize=(10, 10))\n", + "for i, ax in enumerate(axis.flat):\n", + " # Plotting raw pixel data\n", + " ax.imshow(X_train__[i], cmap='binary')\n", + " # Labels\n", + " digit = Y_train[i].argmax()\n", + " ax.set(title = f\"Real Number is {digit}\");\n", + "# adjusting the spacing\n", + "plt.subplots_adjust(wspace=0.2, hspace=0.5) " + ], + "metadata": { + "id": "yF1Nj63Bz9m7", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 607 + }, + "outputId": "80e7b6db-5cfc-420a-f2ee-872370650d42" + }, + "execution_count": 7, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "###Plotting statistics of the training and testing dataset \n", + "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" + ], + "metadata": { + "id": "Rx8muKSIrKhe" + } + }, + { + "cell_type": "code", + "source": [ + "import numpy as np\n", + "\n", + "# For testing dataset\n", + "digits=['0','1','2','3','4','5','6','7','8','9']\n", + "n_samples=[]\n", + "zero=one=two=three=four=five=six=seven=eight=nine=0\n", + "for i in Y_test:\n", + " if i.argmax()==0:\n", + " zero+=1\n", + " elif i.argmax()==1:\n", + " one+=1\n", + " elif i.argmax()==2:\n", + " two+=1\n", + " elif i.argmax()==3:\n", + " three+=1\n", + " elif i.argmax()==4:\n", + " four+=1\n", + " elif i.argmax()==5:\n", + " five+=1\n", + " elif i.argmax()==6:\n", + " six+=1\n", + " elif i.argmax()==7:\n", + " seven+=1\n", + " elif i.argmax()==8:\n", + " eight+=1\n", + " elif i.argmax()==9:\n", + " nine+=1\n", + " \n", + "n_samples.append(zero)\n", + "n_samples.append(one)\n", + "n_samples.append(two)\n", + "n_samples.append(three)\n", + "n_samples.append(four)\n", + "n_samples.append(five)\n", + "n_samples.append(six)\n", + "n_samples.append(seven)\n", + "n_samples.append(eight)\n", + "n_samples.append(nine)\n", + "\n", + "print(n_samples)\n", + "print(digits)\n", + "plt.bar(digits,n_samples)\n", + "plt.ylabel(\"Number of samples\")\n", + "plt.xlabel(\"Digits\")" + ], + "metadata": { + "id": "37kehTG_6Pi4", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 331 + }, + "outputId": "56f430ea-0430-4b9e-d2cf-4777f2ad5700" + }, + "execution_count": 8, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[203, 208, 211, 213, 188, 201, 169, 201, 198, 208]\n", + "['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(0.5, 0, 'Digits')" + ] + }, + "metadata": {}, + "execution_count": 8 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "# For training data\n", + "n_samples=[]\n", + "zero=one=two=three=four=five=six=seven=eight=nine=0\n", + "for i in Y_train:\n", + " if i.argmax()==0:\n", + " zero+=1\n", + " elif i.argmax()==1:\n", + " one+=1\n", + " elif i.argmax()==2:\n", + " two+=1\n", + " elif i.argmax()==3:\n", + " three+=1\n", + " elif i.argmax()==4:\n", + " four+=1\n", + " elif i.argmax()==5:\n", + " five+=1\n", + " elif i.argmax()==6:\n", + " six+=1\n", + " elif i.argmax()==7:\n", + " seven+=1\n", + " elif i.argmax()==8:\n", + " eight+=1\n", + " elif i.argmax()==9:\n", + " nine+=1\n", + " \n", + "n_samples.append(zero)\n", + "n_samples.append(one)\n", + "n_samples.append(two)\n", + "n_samples.append(three)\n", + "n_samples.append(four)\n", + "n_samples.append(five)\n", + "n_samples.append(six)\n", + "n_samples.append(seven)\n", + "n_samples.append(eight)\n", + "n_samples.append(nine)\n", + "\n", + "print(n_samples)\n", + "print(digits)\n", + "plt.bar(digits,n_samples)\n", + "plt.ylabel(\"Number of samples\")\n", + "plt.xlabel(\"Digits\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 331 + }, + "id": "Lfmvn5V9-23B", + "outputId": "c8a0a936-a7a4-4e24-96d7-ef718d8d0baa" + }, + "execution_count": 9, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[777, 927, 821, 797, 794, 691, 789, 827, 776, 801]\n", + "['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(0.5, 0, 'Digits')" + ] + }, + "metadata": {}, + "execution_count": 9 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "#CNN\n", + "###Defining the Model" + ], + "metadata": { + "id": "kWlpCWdAr8d3" + } + }, + { + "cell_type": "code", + "source": [ + "# Model building\n", + "model=Sequential()\n", + "\n", + "\n", + "# We use a 3 x 3 convolution filter\n", + "# The number of output filters in the convolution is 64\n", + "# Convolutional layer with rectified linear unit activation\n", + "# img_rows=28 img_cols=28 and 1 for grayscale images\n", + "model.add(Conv2D(filters=64, kernel_size = (3,3), activation=\"relu\", input_shape=(28,28,1))) \n", + "model.add(Conv2D(filters=64, kernel_size = (3,3), activation=\"relu\"))\n", + "# Pooling is used to reduce the image size of width and height and it does is it pick the maximum value in a certain size of the window.\n", + "# Max pooling with a 2 x 2 window \n", + "model.add(MaxPooling2D(pool_size=(2,2),strides=(1,1)))\n", + "# Batch normalization is a layer that allows every layer of the network to do learning more independently. It is used to normalize the output of the previous layers.\n", + "# Implements regularisation\n", + "model.add(BatchNormalization())\n", + "\n", + "# We use a 3 x 3 convolution filter\n", + "# The number of output filters in the convolution is 128\n", + "# Convolutional layer with rectified linear unit activation\n", + "model.add(Conv2D(filters=128, kernel_size = (3,3), activation=\"relu\"))\n", + "model.add(Conv2D(filters=128, kernel_size = (3,3), activation=\"relu\"))\n", + "# Pooling is used to reduce the image size of width and height and it does is it pick the maximum value in a certain size of the window.\n", + "# Max pooling with a 2 x 2 window\n", + "model.add(MaxPooling2D(pool_size=(2,2),strides=(1,1)))\n", + "# Batch normalization is a layer that allows every layer of the network to do learning more independently. It is used to normalize the output of the previous layers.\n", + "# Implements regularisation\n", + "model.add(BatchNormalization()) \n", + "\n", + "# We use a 3 x 3 convolution filter\n", + "# The number of output filters in the convolution is 256\n", + "# Convolutional layer with rectified linear unit activation\n", + "model.add(Conv2D(filters=256, kernel_size = (3,3), activation=\"relu\"))\n", + "# Pooling is used to reduce the image size of width and height and it does is it pick the maximum value in a certain size of the window.\n", + "# Max pooling with a 2 x 2 window\n", + "model.add(MaxPooling2D(pool_size=(2,2),strides=(1,1)))\n", + "# Batch normalization is a layer that allows every layer of the network to do learning more independently. It is used to normalize the output of the previous layers.\n", + "# Implements regularisation\n", + "model.add(BatchNormalization())\n", + "\n", + "# Flatten since too many dimensions, we only want a classification output \n", + "model.add(Flatten())\n", + "# Adding the Dense layer with 512 units\n", + "model.add(Dense(512,activation=\"relu\"))\n", + "# Softmax to squash the matrix into output probabilities\n", + "model.add(Dense(10,activation=\"softmax\"))" + ], + "metadata": { + "id": "1L07EyQ0Yion" + }, + "execution_count": 10, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "##Compiling and training the model" + ], + "metadata": { + "id": "1nchSAeXHgEL" + } + }, + { + "cell_type": "code", + "source": [ + "# Compiling the model\n", + "# Using adam optimizer\n", + "model.compile(loss=\"categorical_crossentropy\", optimizer=\"adam\", metrics=[\"accuracy\"])\n", + "\n", + "num_epoch = 10\n", + "# Model training\n", + "history = model.fit(X_train, Y_train,\n", + " epochs=num_epoch,\n", + " verbose=1,\n", + " validation_data=(X_test, Y_test))\n", + "\n", + "#Printing loss and accuracy\n", + "test_loss, test_acc = model.evaluate(X_test, Y_test)\n", + "print(\"Loss: {0} - Acc: {1}\".format(test_loss, test_acc))" + ], + "metadata": { + "id": "nKEZ8cbO9JVV", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "78972048-28f4-446c-cb8f-fe3fc54d151e" + }, + "execution_count": 13, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Epoch 1/10\n", + "250/250 [==============================] - 6s 20ms/step - loss: 0.4184 - accuracy: 0.9794 - val_loss: 2.0862 - val_accuracy: 0.9655\n", + "Epoch 2/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.7292 - accuracy: 0.9783 - val_loss: 2.3143 - val_accuracy: 0.9560\n", + "Epoch 3/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.5109 - accuracy: 0.9837 - val_loss: 0.8341 - val_accuracy: 0.9775\n", + "Epoch 4/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.2521 - accuracy: 0.9905 - val_loss: 1.0141 - val_accuracy: 0.9710\n", + "Epoch 5/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.0879 - accuracy: 0.9948 - val_loss: 0.4874 - val_accuracy: 0.9845\n", + "Epoch 6/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.1018 - accuracy: 0.9942 - val_loss: 1.1091 - val_accuracy: 0.9665\n", + "Epoch 7/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.1998 - accuracy: 0.9916 - val_loss: 1.1618 - val_accuracy: 0.9710\n", + "Epoch 8/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.1621 - accuracy: 0.9924 - val_loss: 0.8817 - val_accuracy: 0.9815\n", + "Epoch 9/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.1626 - accuracy: 0.9940 - val_loss: 1.3372 - val_accuracy: 0.9685\n", + "Epoch 10/10\n", + "250/250 [==============================] - 5s 19ms/step - loss: 0.2807 - accuracy: 0.9925 - val_loss: 0.7609 - val_accuracy: 0.9800\n", + "63/63 [==============================] - 0s 6ms/step - loss: 0.7609 - accuracy: 0.9800\n", + "Loss: 0.76085364818573 - Acc: 0.9800000190734863\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Predicting the images\n", + "Printing the image along with its label (true value) and predicted value." + ], + "metadata": { + "id": "ml1Kna_DuJrL" + } + }, + { + "cell_type": "code", + "source": [ + "# Your code\n", + "X_test__ = X_test.reshape(X_test.shape[0], 28, 28)\n", + "y_pred = model.predict(X_test__) # Prediction the model\n", + "\n", + "fig, axis = plt.subplots(4, 4, figsize=(12, 14)) # plt.subplots returns a tuple containing a figure and axes objects\n", + "for i, ax in enumerate(axis.flat):\n", + " ax.imshow(X_test__[i], cmap='binary')\n", + " ax.set(title = f\"Real Number is {Y_test[i].argmax()}\\nPredict Number is {y_pred[i].argmax()}\");\n" + ], + "metadata": { + "id": "qioZul7_uiYq", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 820 + }, + "outputId": "8d4ade4c-3def-4072-8f3c-1aad9bd40d66" + }, + "execution_count": 12, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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+ }, + "metadata": { + "needs_background": "light" + } + } + ] + } + ] +} \ No newline at end of file From cb98299b6ac6e3c374e491c853fe79f2bcede986 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:30:42 +0530 Subject: [PATCH 21/35] 4 --- 3-Class Face Mask Detection Model.ipynb | 1321 +++++++++++++++++++++++ 1 file changed, 1321 insertions(+) create mode 100644 3-Class Face Mask Detection Model.ipynb diff --git a/3-Class Face Mask Detection Model.ipynb b/3-Class Face Mask Detection Model.ipynb new file mode 100644 index 0000000..61cba8d --- /dev/null +++ b/3-Class Face Mask Detection Model.ipynb @@ -0,0 +1,1321 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "A4_200526.ipynb", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "TPU", + "gpuClass": "standard" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "## Final Task:\n", + "This is your final evaluation for the project. As decided, we will be predicting images of people into three classes: `without_mask`, `mask_weared_incorrect` and `with_mask`. " + ], + "metadata": { + "id": "rtI19Rt-H7Uc" + } + }, + { + "cell_type": "code", + "source": [ + "import tensorflow as tf" + ], + "metadata": { + "id": "c2CiXcHQTbX8" + }, + "execution_count": 48, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Loading the dataset\n", + "Make a copy of the dataset given to you in your Google Drive (keep it outside, don't put it in any folder to avoid inconvenience). Ensure it is named as `Mask_Dataset` or change the path (the variable `data_dir`) accordingly." + ], + "metadata": { + "id": "QKDPyiZTIm1c" + } + }, + { + "cell_type": "code", + "source": [ + "# Mount Google Drive\n", + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "hNEMe7XsIjrK", + "outputId": "73346675-ee26-4377-e0cb-2ebd53615236" + }, + "execution_count": 49, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import pathlib\n", + "\n", + "path='/content/drive/MyDrive/Mask_Dataset/'\n", + "data_dir = pathlib.Path(path)\n", + "print(data_dir)" + ], + "metadata": { + "id": "8CXzo4MOJOl8", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "a03adde1-eec6-4312-f3ad-0ddd28fddb39" + }, + "execution_count": 50, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/drive/MyDrive/Mask_Dataset\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Know the Dataset\n", + "Most of the code is written for you as you aren't used to these libraries. You are to go through the documentation for your benefit." + ], + "metadata": { + "id": "YHPHkGyDKscK" + } + }, + { + "cell_type": "code", + "source": [ + "# Print image count\n", + "image_count = len(list(data_dir.glob('*/*.png')))\n", + "print(image_count)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "PzbSy-vXKjD-", + "outputId": "84c54bc3-d136-479d-c87a-f15926a45880" + }, + "execution_count": 51, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "9002\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Print Output Labels\n", + "import os\n", + "output_classes = os.listdir(data_dir)\n", + "print(output_classes)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rFHWFYj5NCVm", + "outputId": "42d0294f-4403-47bf-c70f-a455973b7764" + }, + "execution_count": 52, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "['mask_weared_incorrect', 'with_mask', 'without_mask']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Plot count of each ouput label\n", + "import matplotlib.pyplot as plt\n", + "\n", + "count=[]\n", + "for label in output_classes:\n", + " this_path=path+label\n", + " dir=pathlib.Path(this_path)\n", + " im_count=os.listdir(dir)\n", + " print(im_count) # list contains labels of all the images belonging to a particular class i.e. 'mask_weared_incorrect' or 'with_mask' or 'without_mask'\n", + " print(this_path+'/'+im_count[0]) # printing the exact path of a particular image\n", + " count.append(len(im_count))\n", + "\n", + "print(count)\n", + "\n", + "plt.bar(output_classes,count)\n", + "plt.title(\"Statistics\")\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 421 + }, + "id": "fESyMw90KaxN", + "outputId": "8d29abc0-94c0-4920-e7b7-f0af00cb2fd0" + }, + "execution_count": 53, + "outputs": [ + { + "output_type": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Check some sample images (Use of cv2)\n", + "import cv2\n", + "from google.colab.patches import cv2_imshow\n", + "\n", + "for label in output_classes:\n", + " this_path=path+label\n", + " dir=pathlib.Path(this_path)\n", + " im_count=os.listdir(dir)\n", + " image = this_path+'/'+im_count[8]\n", + " testing=cv2.imread(image) # 3D array containing the pixel values\n", + " cv2_imshow(testing)\n", + " print(\"\\n\")\n", + " print(label)\n", + " print(\"\\n\")\n" + ], + "metadata": { + "id": "HDSJ2Zk5a14s", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 656 + }, + "outputId": "0c600881-4789-4f88-89a6-b7e44149f12d" + }, + "execution_count": 54, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "image/png": 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\n" 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\n" 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "\n", + "without_mask\n", + "\n", + "\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Check shape of the images in your dataset. This will be helpful while specifying input_shape in your Transfer Learning Model\n", + "import random\n", + "for label in output_classes:\n", + " this_path=path+label\n", + " dir=pathlib.Path(this_path)\n", + " im_count=os.listdir(dir)\n", + " rand_no=random.randint(0,2994)\n", + " print(rand_no)\n", + " image = this_path+'/'+im_count[rand_no] #Checking the shape of 3 random images from the 3 different classes and we find all the images have the same shape (128,128,3)\n", + " testing=cv2.imread(image)\n", + " print(testing.shape)\n", + " print(label)\n", + " print('\\n')" + ], + "metadata": { + "id": "jWBEMC1FUfXS", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "5b55569d-6c6f-4eaa-da0f-d561956a4261" + }, + "execution_count": 55, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "71\n", + "(128, 128, 3)\n", + "mask_weared_incorrect\n", + "\n", + "\n", + "1909\n", + "(128, 128, 3)\n", + "with_mask\n", + "\n", + "\n", + "1784\n", + "(128, 128, 3)\n", + "without_mask\n", + "\n", + "\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Check if all the images have same shape, else you need to resize them to some common size\n", + "\n", + "# We maintain a flag variable so that if the value of the flag variable becomes true at any instant then we wiil find an image whose shape is diferent from (128,128,3)\n", + "flag=False\n", + "pixel=(128,128,3) # for comparison we contain a touple\n", + "\n", + "for label in output_classes:\n", + " this_path=path+label\n", + " dir=pathlib.Path(this_path)\n", + " im_count=os.listdir(dir)\n", + " for i in range(len(im_count)):\n", + " image = this_path+'/'+im_count[i] \n", + " testing=cv2.imread(image)\n", + " if testing.shape!=pixel:\n", + " flag=True\n", + "\n", + "if(flag==True):\n", + " print(\"Images have diffrent size\")\n", + "else:\n", + " print(\"Images have the same size\")\n", + "\n", + "# since flag=False hence all images have same size\n", + "\n", + "# The code provided as it is above in the template will help " + ], + "metadata": { + "id": "52BhBWRab5yc", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "3448e4dd-09b8-4d30-b231-7e54db7b9a85" + }, + "execution_count": 56, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Images have the same size\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Model Definition\n", + "Choose a model for Transfer Learning (You may also experment with multiple models and keep all of them in this notebook)" + ], + "metadata": { + "id": "zSoUXS1cRbnu" + } + }, + { + "cell_type": "code", + "source": [ + "from tensorflow.keras.layers import Input, Lambda, Dense, Flatten\n", + "from tensorflow.keras.models import Model\n", + "from tensorflow.keras.preprocessing import image\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow import keras" + ], + "metadata": { + "id": "QKZmIgXMTHfy" + }, + "execution_count": 57, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Choose and define base model\n", + "print(output_classes)\n", + "IMG_SIZE=(128,128,3)\n", + "\n", + "\n", + "base_model = keras.applications.ResNet50(\n", + " weights=\"imagenet\", # Load weights pre-trained on ImageNet.\n", + " input_shape=IMG_SIZE,\n", + " include_top=False, # Do not include the ImageNet classifier/ fully connected layer at the top.\n", + ") \n", + "\n" + ], + "metadata": { + "id": "9xWLUibHRNGj", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "b51bf9c9-624b-4047-89b0-b8a666f36d7b" + }, + "execution_count": 58, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "['mask_weared_incorrect', 'with_mask', 'without_mask']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Print base model summary and have a look at the layers\n", + "base_model.summary()" + ], + "metadata": { + "id": "J3TwB_GLd7BU", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "e8780c60-3677-4084-d902-9860ba2b29f1" + }, + "execution_count": 59, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model: \"resnet50\"\n", + "__________________________________________________________________________________________________\n", + " Layer (type) Output Shape Param # Connected to \n", + "==================================================================================================\n", + " input_4 (InputLayer) [(None, 128, 128, 3 0 [] \n", + " )] \n", + " \n", + " conv1_pad (ZeroPadding2D) (None, 134, 134, 3) 0 ['input_4[0][0]'] \n", + " \n", + " conv1_conv (Conv2D) (None, 64, 64, 64) 9472 ['conv1_pad[0][0]'] \n", + " \n", + " conv1_bn (BatchNormalization) (None, 64, 64, 64) 256 ['conv1_conv[0][0]'] \n", + " \n", + " conv1_relu (Activation) (None, 64, 64, 64) 0 ['conv1_bn[0][0]'] \n", + " \n", + " pool1_pad (ZeroPadding2D) (None, 66, 66, 64) 0 ['conv1_relu[0][0]'] \n", + " \n", + " pool1_pool (MaxPooling2D) (None, 32, 32, 64) 0 ['pool1_pad[0][0]'] \n", + " \n", + " conv2_block1_1_conv (Conv2D) (None, 32, 32, 64) 4160 ['pool1_pool[0][0]'] \n", + " \n", + " conv2_block1_1_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block1_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block1_1_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block1_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv2_block1_2_conv (Conv2D) (None, 32, 32, 64) 36928 ['conv2_block1_1_relu[0][0]'] \n", + " \n", + " conv2_block1_2_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block1_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block1_2_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block1_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv2_block1_0_conv (Conv2D) (None, 32, 32, 256) 16640 ['pool1_pool[0][0]'] \n", + " \n", + " conv2_block1_3_conv (Conv2D) (None, 32, 32, 256) 16640 ['conv2_block1_2_relu[0][0]'] \n", + " \n", + " conv2_block1_0_bn (BatchNormal (None, 32, 32, 256) 1024 ['conv2_block1_0_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block1_3_bn (BatchNormal (None, 32, 32, 256) 1024 ['conv2_block1_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block1_add (Add) (None, 32, 32, 256) 0 ['conv2_block1_0_bn[0][0]', \n", + " 'conv2_block1_3_bn[0][0]'] \n", + " \n", + " conv2_block1_out (Activation) (None, 32, 32, 256) 0 ['conv2_block1_add[0][0]'] \n", + " \n", + " conv2_block2_1_conv (Conv2D) (None, 32, 32, 64) 16448 ['conv2_block1_out[0][0]'] \n", + " \n", + " conv2_block2_1_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block2_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block2_1_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block2_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv2_block2_2_conv (Conv2D) (None, 32, 32, 64) 36928 ['conv2_block2_1_relu[0][0]'] \n", + " \n", + " conv2_block2_2_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block2_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block2_2_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block2_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv2_block2_3_conv (Conv2D) (None, 32, 32, 256) 16640 ['conv2_block2_2_relu[0][0]'] \n", + " \n", + " conv2_block2_3_bn (BatchNormal (None, 32, 32, 256) 1024 ['conv2_block2_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block2_add (Add) (None, 32, 32, 256) 0 ['conv2_block1_out[0][0]', \n", + " 'conv2_block2_3_bn[0][0]'] \n", + " \n", + " conv2_block2_out (Activation) (None, 32, 32, 256) 0 ['conv2_block2_add[0][0]'] \n", + " \n", + " conv2_block3_1_conv (Conv2D) (None, 32, 32, 64) 16448 ['conv2_block2_out[0][0]'] \n", + " \n", + " conv2_block3_1_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block3_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block3_1_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block3_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv2_block3_2_conv (Conv2D) (None, 32, 32, 64) 36928 ['conv2_block3_1_relu[0][0]'] \n", + " \n", + " conv2_block3_2_bn (BatchNormal (None, 32, 32, 64) 256 ['conv2_block3_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block3_2_relu (Activatio (None, 32, 32, 64) 0 ['conv2_block3_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv2_block3_3_conv (Conv2D) (None, 32, 32, 256) 16640 ['conv2_block3_2_relu[0][0]'] \n", + " \n", + " conv2_block3_3_bn (BatchNormal (None, 32, 32, 256) 1024 ['conv2_block3_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv2_block3_add (Add) (None, 32, 32, 256) 0 ['conv2_block2_out[0][0]', \n", + " 'conv2_block3_3_bn[0][0]'] \n", + " \n", + " conv2_block3_out (Activation) (None, 32, 32, 256) 0 ['conv2_block3_add[0][0]'] \n", + " \n", + " conv3_block1_1_conv (Conv2D) (None, 16, 16, 128) 32896 ['conv2_block3_out[0][0]'] \n", + " \n", + " conv3_block1_1_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block1_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block1_1_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block1_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block1_2_conv (Conv2D) (None, 16, 16, 128) 147584 ['conv3_block1_1_relu[0][0]'] \n", + " \n", + " conv3_block1_2_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block1_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block1_2_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block1_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block1_0_conv (Conv2D) (None, 16, 16, 512) 131584 ['conv2_block3_out[0][0]'] \n", + " \n", + " conv3_block1_3_conv (Conv2D) (None, 16, 16, 512) 66048 ['conv3_block1_2_relu[0][0]'] \n", + " \n", + " conv3_block1_0_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block1_0_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block1_3_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block1_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block1_add (Add) (None, 16, 16, 512) 0 ['conv3_block1_0_bn[0][0]', \n", + " 'conv3_block1_3_bn[0][0]'] \n", + " \n", + " conv3_block1_out (Activation) (None, 16, 16, 512) 0 ['conv3_block1_add[0][0]'] \n", + " \n", + " conv3_block2_1_conv (Conv2D) (None, 16, 16, 128) 65664 ['conv3_block1_out[0][0]'] \n", + " \n", + " conv3_block2_1_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block2_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block2_1_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block2_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block2_2_conv (Conv2D) (None, 16, 16, 128) 147584 ['conv3_block2_1_relu[0][0]'] \n", + " \n", + " conv3_block2_2_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block2_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block2_2_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block2_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block2_3_conv (Conv2D) (None, 16, 16, 512) 66048 ['conv3_block2_2_relu[0][0]'] \n", + " \n", + " conv3_block2_3_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block2_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block2_add (Add) (None, 16, 16, 512) 0 ['conv3_block1_out[0][0]', \n", + " 'conv3_block2_3_bn[0][0]'] \n", + " \n", + " conv3_block2_out (Activation) (None, 16, 16, 512) 0 ['conv3_block2_add[0][0]'] \n", + " \n", + " conv3_block3_1_conv (Conv2D) (None, 16, 16, 128) 65664 ['conv3_block2_out[0][0]'] \n", + " \n", + " conv3_block3_1_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block3_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block3_1_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block3_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block3_2_conv (Conv2D) (None, 16, 16, 128) 147584 ['conv3_block3_1_relu[0][0]'] \n", + " \n", + " conv3_block3_2_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block3_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block3_2_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block3_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block3_3_conv (Conv2D) (None, 16, 16, 512) 66048 ['conv3_block3_2_relu[0][0]'] \n", + " \n", + " conv3_block3_3_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block3_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block3_add (Add) (None, 16, 16, 512) 0 ['conv3_block2_out[0][0]', \n", + " 'conv3_block3_3_bn[0][0]'] \n", + " \n", + " conv3_block3_out (Activation) (None, 16, 16, 512) 0 ['conv3_block3_add[0][0]'] \n", + " \n", + " conv3_block4_1_conv (Conv2D) (None, 16, 16, 128) 65664 ['conv3_block3_out[0][0]'] \n", + " \n", + " conv3_block4_1_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block4_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block4_1_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block4_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block4_2_conv (Conv2D) (None, 16, 16, 128) 147584 ['conv3_block4_1_relu[0][0]'] \n", + " \n", + " conv3_block4_2_bn (BatchNormal (None, 16, 16, 128) 512 ['conv3_block4_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block4_2_relu (Activatio (None, 16, 16, 128) 0 ['conv3_block4_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv3_block4_3_conv (Conv2D) (None, 16, 16, 512) 66048 ['conv3_block4_2_relu[0][0]'] \n", + " \n", + " conv3_block4_3_bn (BatchNormal (None, 16, 16, 512) 2048 ['conv3_block4_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv3_block4_add (Add) (None, 16, 16, 512) 0 ['conv3_block3_out[0][0]', \n", + " 'conv3_block4_3_bn[0][0]'] \n", + " \n", + " conv3_block4_out (Activation) (None, 16, 16, 512) 0 ['conv3_block4_add[0][0]'] \n", + " \n", + " conv4_block1_1_conv (Conv2D) (None, 8, 8, 256) 131328 ['conv3_block4_out[0][0]'] \n", + " \n", + " conv4_block1_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block1_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block1_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block1_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block1_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block1_1_relu[0][0]'] \n", + " \n", + " conv4_block1_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block1_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block1_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block1_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block1_0_conv (Conv2D) (None, 8, 8, 1024) 525312 ['conv3_block4_out[0][0]'] \n", + " \n", + " conv4_block1_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block1_2_relu[0][0]'] \n", + " \n", + " conv4_block1_0_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block1_0_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block1_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block1_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block1_add (Add) (None, 8, 8, 1024) 0 ['conv4_block1_0_bn[0][0]', \n", + " 'conv4_block1_3_bn[0][0]'] \n", + " \n", + " conv4_block1_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block1_add[0][0]'] \n", + " \n", + " conv4_block2_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block1_out[0][0]'] \n", + " \n", + " conv4_block2_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block2_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block2_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block2_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block2_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block2_1_relu[0][0]'] \n", + " \n", + " conv4_block2_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block2_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block2_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block2_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block2_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block2_2_relu[0][0]'] \n", + " \n", + " conv4_block2_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block2_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block2_add (Add) (None, 8, 8, 1024) 0 ['conv4_block1_out[0][0]', \n", + " 'conv4_block2_3_bn[0][0]'] \n", + " \n", + " conv4_block2_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block2_add[0][0]'] \n", + " \n", + " conv4_block3_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block2_out[0][0]'] \n", + " \n", + " conv4_block3_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block3_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block3_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block3_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block3_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block3_1_relu[0][0]'] \n", + " \n", + " conv4_block3_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block3_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block3_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block3_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block3_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block3_2_relu[0][0]'] \n", + " \n", + " conv4_block3_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block3_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block3_add (Add) (None, 8, 8, 1024) 0 ['conv4_block2_out[0][0]', \n", + " 'conv4_block3_3_bn[0][0]'] \n", + " \n", + " conv4_block3_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block3_add[0][0]'] \n", + " \n", + " conv4_block4_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block3_out[0][0]'] \n", + " \n", + " conv4_block4_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block4_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block4_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block4_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block4_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block4_1_relu[0][0]'] \n", + " \n", + " conv4_block4_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block4_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block4_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block4_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block4_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block4_2_relu[0][0]'] \n", + " \n", + " conv4_block4_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block4_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block4_add (Add) (None, 8, 8, 1024) 0 ['conv4_block3_out[0][0]', \n", + " 'conv4_block4_3_bn[0][0]'] \n", + " \n", + " conv4_block4_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block4_add[0][0]'] \n", + " \n", + " conv4_block5_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block4_out[0][0]'] \n", + " \n", + " conv4_block5_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block5_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block5_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block5_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block5_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block5_1_relu[0][0]'] \n", + " \n", + " conv4_block5_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block5_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block5_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block5_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block5_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block5_2_relu[0][0]'] \n", + " \n", + " conv4_block5_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block5_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block5_add (Add) (None, 8, 8, 1024) 0 ['conv4_block4_out[0][0]', \n", + " 'conv4_block5_3_bn[0][0]'] \n", + " \n", + " conv4_block5_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block5_add[0][0]'] \n", + " \n", + " conv4_block6_1_conv (Conv2D) (None, 8, 8, 256) 262400 ['conv4_block5_out[0][0]'] \n", + " \n", + " conv4_block6_1_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block6_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block6_1_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block6_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block6_2_conv (Conv2D) (None, 8, 8, 256) 590080 ['conv4_block6_1_relu[0][0]'] \n", + " \n", + " conv4_block6_2_bn (BatchNormal (None, 8, 8, 256) 1024 ['conv4_block6_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block6_2_relu (Activatio (None, 8, 8, 256) 0 ['conv4_block6_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv4_block6_3_conv (Conv2D) (None, 8, 8, 1024) 263168 ['conv4_block6_2_relu[0][0]'] \n", + " \n", + " conv4_block6_3_bn (BatchNormal (None, 8, 8, 1024) 4096 ['conv4_block6_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv4_block6_add (Add) (None, 8, 8, 1024) 0 ['conv4_block5_out[0][0]', \n", + " 'conv4_block6_3_bn[0][0]'] \n", + " \n", + " conv4_block6_out (Activation) (None, 8, 8, 1024) 0 ['conv4_block6_add[0][0]'] \n", + " \n", + " conv5_block1_1_conv (Conv2D) (None, 4, 4, 512) 524800 ['conv4_block6_out[0][0]'] \n", + " \n", + " conv5_block1_1_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block1_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block1_1_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block1_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv5_block1_2_conv (Conv2D) (None, 4, 4, 512) 2359808 ['conv5_block1_1_relu[0][0]'] \n", + " \n", + " conv5_block1_2_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block1_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block1_2_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block1_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv5_block1_0_conv (Conv2D) (None, 4, 4, 2048) 2099200 ['conv4_block6_out[0][0]'] \n", + " \n", + " conv5_block1_3_conv (Conv2D) (None, 4, 4, 2048) 1050624 ['conv5_block1_2_relu[0][0]'] \n", + " \n", + " conv5_block1_0_bn (BatchNormal (None, 4, 4, 2048) 8192 ['conv5_block1_0_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block1_3_bn (BatchNormal (None, 4, 4, 2048) 8192 ['conv5_block1_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block1_add (Add) (None, 4, 4, 2048) 0 ['conv5_block1_0_bn[0][0]', \n", + " 'conv5_block1_3_bn[0][0]'] \n", + " \n", + " conv5_block1_out (Activation) (None, 4, 4, 2048) 0 ['conv5_block1_add[0][0]'] \n", + " \n", + " conv5_block2_1_conv (Conv2D) (None, 4, 4, 512) 1049088 ['conv5_block1_out[0][0]'] \n", + " \n", + " conv5_block2_1_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block2_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block2_1_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block2_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv5_block2_2_conv (Conv2D) (None, 4, 4, 512) 2359808 ['conv5_block2_1_relu[0][0]'] \n", + " \n", + " conv5_block2_2_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block2_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block2_2_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block2_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv5_block2_3_conv (Conv2D) (None, 4, 4, 2048) 1050624 ['conv5_block2_2_relu[0][0]'] \n", + " \n", + " conv5_block2_3_bn (BatchNormal (None, 4, 4, 2048) 8192 ['conv5_block2_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block2_add (Add) (None, 4, 4, 2048) 0 ['conv5_block1_out[0][0]', \n", + " 'conv5_block2_3_bn[0][0]'] \n", + " \n", + " conv5_block2_out (Activation) (None, 4, 4, 2048) 0 ['conv5_block2_add[0][0]'] \n", + " \n", + " conv5_block3_1_conv (Conv2D) (None, 4, 4, 512) 1049088 ['conv5_block2_out[0][0]'] \n", + " \n", + " conv5_block3_1_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block3_1_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block3_1_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block3_1_bn[0][0]'] \n", + " n) \n", + " \n", + " conv5_block3_2_conv (Conv2D) (None, 4, 4, 512) 2359808 ['conv5_block3_1_relu[0][0]'] \n", + " \n", + " conv5_block3_2_bn (BatchNormal (None, 4, 4, 512) 2048 ['conv5_block3_2_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block3_2_relu (Activatio (None, 4, 4, 512) 0 ['conv5_block3_2_bn[0][0]'] \n", + " n) \n", + " \n", + " conv5_block3_3_conv (Conv2D) (None, 4, 4, 2048) 1050624 ['conv5_block3_2_relu[0][0]'] \n", + " \n", + " conv5_block3_3_bn (BatchNormal (None, 4, 4, 2048) 8192 ['conv5_block3_3_conv[0][0]'] \n", + " ization) \n", + " \n", + " conv5_block3_add (Add) (None, 4, 4, 2048) 0 ['conv5_block2_out[0][0]', \n", + " 'conv5_block3_3_bn[0][0]'] \n", + " \n", + " conv5_block3_out (Activation) (None, 4, 4, 2048) 0 ['conv5_block3_add[0][0]'] \n", + " \n", + "==================================================================================================\n", + "Total params: 23,587,712\n", + "Trainable params: 23,534,592\n", + "Non-trainable params: 53,120\n", + "__________________________________________________________________________________________________\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# As we're using Transfer Learning, you do not need to train all the layers. Freeze all of the layers or train some layers (experiment)\n", + "\n", + "base_model.trainable = False # Freeze the base_model" + ], + "metadata": { + "id": "F_Heq3C1eKd-" + }, + "execution_count": 60, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Append Fully connected/custom Conv2D/Dropout/MaxPooling layers to the base model\n", + "inputs = keras.Input(shape=IMG_SIZE)\n", + "x = inputs\n", + "x = base_model(x, training=False)\n", + "x = keras.layers.Flatten()(x)\n", + "x = keras.layers.Dense(512)(x)\n", + "x = keras.layers.Dropout(0.2)(x) " + ], + "metadata": { + "id": "MKx1EtUJea6D" + }, + "execution_count": 61, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Add the final output layer\n", + "outputs = keras.layers.Dense(3, activation=\"softmax\")(x)\n", + "model = keras.Model(inputs, outputs)" + ], + "metadata": { + "id": "q6I3oTTNgP8L" + }, + "execution_count": 62, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Print your model's summary\n", + "model.summary()" + ], + "metadata": { + "id": "6aVQocJwgN5r", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "45d3ed02-8e9e-4e78-b05e-fe812fa721a4" + }, + "execution_count": 63, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model: \"model_1\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " input_5 (InputLayer) [(None, 128, 128, 3)] 0 \n", + " \n", + " resnet50 (Functional) (None, 4, 4, 2048) 23587712 \n", + " \n", + " flatten_1 (Flatten) (None, 32768) 0 \n", + " \n", + " dense_2 (Dense) (None, 512) 16777728 \n", + " \n", + " dropout_1 (Dropout) (None, 512) 0 \n", + " \n", + " dense_3 (Dense) (None, 3) 1539 \n", + " \n", + "=================================================================\n", + "Total params: 40,366,979\n", + "Trainable params: 16,779,267\n", + "Non-trainable params: 23,587,712\n", + "_________________________________________________________________\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Compile you model (set the parameters like loss/optimizers/metrics)\n", + "model.compile(\n", + " optimizer=keras.optimizers.Adam(\n", + " learning_rate=0.001),\n", + " loss=keras.losses.categorical_crossentropy,\n", + " metrics=[\"accuracy\"],\n", + ")\n" + ], + "metadata": { + "id": "qdC71fUBgXAg" + }, + "execution_count": 64, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Data Augmentation and Pre-processing\n", + "Augment the data. You may also try dyanamic augmentation using [`tf.keras.preprocessing.image.ImageDataGenerator `](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/image/ImageDataGenerator). \n", + "You may use [`tf.keras.applications.vgg16.preprocess_input`](https://www.tensorflow.org/api_docs/python/tf/keras/applications/vgg16/preprocess_input)(or some other base model's utility) for pre-processing (can also be passed as a parameter to `ImageDataGenerator`)" + ], + "metadata": { + "id": "RdUSMLggifex" + } + }, + { + "cell_type": "code", + "source": [ + "# from keras.applications.vgg16 import preprocess_input # Change according to your base model\n", + "# from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", + "from keras_preprocessing.image import ImageDataGenerator\n", + "\n", + "label_datagen = ImageDataGenerator( rescale = 1./255, validation_split=0.2)\n", + "# Your code " + ], + "metadata": { + "id": "DBscSsvkgn39" + }, + "execution_count": 65, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "" + ], + "metadata": { + "id": "-k4VPgwEDPvO" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Training and Validation Dataset \n", + "Split the dataset into training and validation (We'll be looking for your validation accuracy, assume we are using complete dataset for now). \n", + "\n", + "Hint: `flow_from_directory` used with `ImageDataGenerator` will simplify things for you." + ], + "metadata": { + "id": "IcKPxCpOkcuG" + } + }, + { + "cell_type": "code", + "source": [ + "from keras.backend import categorical_crossentropy\n", + "# Your code\n", + "train_label_generator = label_datagen.flow_from_directory(\n", + " directory=path,\n", + " target_size=(128,128),\n", + " subset=\"training\",\n", + " class_mode='categorical',\n", + " batch_size=32)\n", + "validation_label_generator = label_datagen.flow_from_directory(\n", + " directory=path,\n", + " target_size=(128,128),\n", + " subset=\"validation\",\n", + " class_mode='categorical',\n", + " batch_size=32)" + ], + "metadata": { + "id": "sB7hb3ybkJRq", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "589c3513-4c18-4468-fd67-923757dcf8a4" + }, + "execution_count": 68, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Found 7204 images belonging to 3 classes.\n", + "Found 1798 images belonging to 3 classes.\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Training \n", + "Train your model for some epochs and plot the graph. Try and save your best model. Experiment with the parameters of `model.fit`" + ], + "metadata": { + "id": "ZZPsjpT1mp3z" + } + }, + { + "cell_type": "code", + "source": [ + "from keras.callbacks import ModelCheckpoint\n", + "\n", + "history = model.fit(train_label_generator, validation_data=validation_label_generator, epochs=10, workers=4, batch_size=32)\n", + "# ModelCheckpoint is helpful to save the model giving best results (brownie points)" + ], + "metadata": { + "id": "Gs2X14MBmu7W", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "0d4e9f03-5e37-4dd2-e776-dc2bf627573d" + }, + "execution_count": 69, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Epoch 1/10\n", + "226/226 [==============================] - 505s 2s/step - loss: 1.4955 - accuracy: 0.6390 - val_loss: 0.5426 - val_accuracy: 0.7864\n", + "Epoch 2/10\n", + "226/226 [==============================] - 481s 2s/step - loss: 0.6392 - accuracy: 0.7658 - val_loss: 0.5708 - val_accuracy: 0.7592\n", + "Epoch 3/10\n", + "226/226 [==============================] - 487s 2s/step - loss: 0.5296 - accuracy: 0.8001 - val_loss: 0.4819 - val_accuracy: 0.8220\n", + "Epoch 4/10\n", + "226/226 [==============================] - 483s 2s/step - loss: 0.4557 - accuracy: 0.8261 - val_loss: 0.7411 - val_accuracy: 0.7230\n", + "Epoch 5/10\n", + "226/226 [==============================] - 482s 2s/step - loss: 0.4044 - accuracy: 0.8484 - val_loss: 0.3754 - val_accuracy: 0.8637\n", + "Epoch 6/10\n", + "226/226 [==============================] - 483s 2s/step - loss: 0.5058 - accuracy: 0.8155 - val_loss: 0.5950 - val_accuracy: 0.7631\n", + "Epoch 7/10\n", + "226/226 [==============================] - 485s 2s/step - loss: 0.4716 - accuracy: 0.8250 - val_loss: 0.5747 - val_accuracy: 0.7647\n", + "Epoch 8/10\n", + "226/226 [==============================] - 488s 2s/step - loss: 0.3934 - accuracy: 0.8522 - val_loss: 0.3938 - val_accuracy: 0.8615\n", + "Epoch 9/10\n", + "226/226 [==============================] - 485s 2s/step - loss: 0.3528 - accuracy: 0.8660 - val_loss: 0.3761 - val_accuracy: 0.8504\n", + "Epoch 10/10\n", + "226/226 [==============================] - 484s 2s/step - loss: 0.4041 - accuracy: 0.8493 - val_loss: 0.3887 - val_accuracy: 0.8626\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Evaluate the performance" + ], + "metadata": { + "id": "FTvRa1FXri4R" + } + }, + { + "cell_type": "code", + "source": [ + "# Plot training & validation loss/accuracy values\n", + "print(history.history.keys())\n", + "# \"Accuracy\"\n", + "plt.plot(history.history['accuracy'])\n", + "plt.plot(history.history['val_accuracy'])\n", + "plt.title('model accuracy')\n", + "plt.ylabel('accuracy')\n", + "plt.xlabel('epoch')\n", + "plt.legend(['train', 'validation'], loc='upper left')\n", + "plt.show()\n", + "# \"Loss\"\n", + "plt.plot(history.history['loss'])\n", + "plt.plot(history.history['val_loss'])\n", + "plt.title('model loss')\n", + "plt.ylabel('loss')\n", + "plt.xlabel('epoch')\n", + "plt.legend(['train', 'validation'], loc='upper left')\n", + "plt.show()" + ], + "metadata": { + "id": "cTH6flzcrck0", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 590 + }, + "outputId": "c8da33a4-0b3a-455a-c920-6924d8a5aad3" + }, + "execution_count": 72, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "dict_keys(['loss', 'accuracy', 'val_loss', 'val_accuracy'])\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "from sklearn.metrics import classification_report, confusion_matrix\n", + "import numpy as np\n", + "\n", + "validation_classes = []\n", + "validation_images = []\n", + "for i in range( -(-validation_label_generator.samples // validation_label_generator.batch_size)):\n", + " batch = validation_label_generator.next()\n", + " expected = np.argmax(batch[1], axis=1) \n", + " validation_classes.extend(expected)\n", + " validation_images.extend(batch[0])\n", + "validation_classes = np.array(validation_classes)\n", + "validation_images = np.array(validation_images)\n", + "Y_pred = model.predict(validation_images)\n", + "y_pred = np.argmax(Y_pred, axis=1)\n", + "\n", + "\n", + "print(classification_report(validation_classes, y_pred, \n", + "\t\ttarget_names = ['mask_weared_incorrect', 'with_mask', 'without_mask']))\n", + "# print classification report" + ], + "metadata": { + "id": "fJ-ZtU84r66Z", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "34a18c7d-2786-445b-a7db-04ad9ceed34e" + }, + "execution_count": 73, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " precision recall f1-score support\n", + "\n", + "mask_weared_incorrect 0.84 0.91 0.87 602\n", + " with_mask 0.80 0.88 0.84 598\n", + " without_mask 0.98 0.80 0.88 598\n", + "\n", + " accuracy 0.86 1798\n", + " macro avg 0.87 0.86 0.86 1798\n", + " weighted avg 0.87 0.86 0.86 1798\n", + "\n" + ] + } + ] + } + ] +} \ No newline at end of file From b2b38a430b115b25c53593ac70645c503bb6b7bb Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:33:11 +0530 Subject: [PATCH 22/35] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 2b3a76b..9ea8d2c 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ # ICG-Computer-Vision-using-Tensorflow -This repository contains the project **Computer Vision using Tensorflow** offered through the SnT Council by the **IITK Consulting Group** in which various ML algorithms are used to build a **3-Class Face Mask Detection model**. +This repository contains the project **Computer Vision using Tensorflow** offered through the SnT Council by the **IITK Consulting Group** in which various ML algorithms are used to build a **CNN Digit Classification Model** and a **3-Class Face Mask Detection model**. ## Mentors: [Aryan Vora](https://github.com/aryan-vora23) From 90f73ed48dbff64331d6d6ad188d8f3d1d2057f3 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:34:09 +0530 Subject: [PATCH 23/35] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 9ea8d2c..639a0d4 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ # ICG-Computer-Vision-using-Tensorflow -This repository contains the project **Computer Vision using Tensorflow** offered through the SnT Council by the **IITK Consulting Group** in which various ML algorithms are used to build a **CNN Digit Classification Model** and a **3-Class Face Mask Detection model**. +This repository contains the project **Computer Vision using Tensorflow** offered through the SnT Council of IIT Kanpur by the **IITK Consulting Group** in which various ML algorithms are used to build a **CNN Digit Classification Model** and a **3-Class Face Mask Detection model**. ## Mentors: [Aryan Vora](https://github.com/aryan-vora23) From a491bb2df383431319bbeefe36ce9623bda314bd Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:35:14 +0530 Subject: [PATCH 24/35] Update README.md --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index 639a0d4..b1a70d2 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,10 @@ # ICG-Computer-Vision-using-Tensorflow This repository contains the project **Computer Vision using Tensorflow** offered through the SnT Council of IIT Kanpur by the **IITK Consulting Group** in which various ML algorithms are used to build a **CNN Digit Classification Model** and a **3-Class Face Mask Detection model**. +## CNN Digit Classification Model + +## 3-Class Face Mask Detection Model + ## Mentors: [Aryan Vora](https://github.com/aryan-vora23) [Mandar Wayal](https://github.com/mandar7-git) From 298aa61cae16e1fe055d8b51c6984b223b58b9cb Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:37:09 +0530 Subject: [PATCH 25/35] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index b1a70d2..4d5d02c 100644 --- a/README.md +++ b/README.md @@ -3,6 +3,8 @@ This repository contains the project **Computer Vision using Tensorflow** offere ## CNN Digit Classification Model +

+ ## 3-Class Face Mask Detection Model ## Mentors: From 4ec784b1eb33a35a7bfe0c7faa0edc9954f0a1ad Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:38:30 +0530 Subject: [PATCH 26/35] Create all.md --- Images/all.md | 1 + 1 file changed, 1 insertion(+) create mode 100644 Images/all.md diff --git a/Images/all.md b/Images/all.md new file mode 100644 index 0000000..7cfab5b --- /dev/null +++ b/Images/all.md @@ -0,0 +1 @@ +yes From 9e3a1fbcc781c905274a944322f140436206dd75 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:42:03 +0530 Subject: [PATCH 27/35] Add files via upload --- Images/1.jpg | Bin 0 -> 143572 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 Images/1.jpg diff --git a/Images/1.jpg b/Images/1.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1b853556be5afb2f3ef94830fcd795d03715d511 GIT binary 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zPKm;`w|b9Ticm{EvVADz4sqv*3$o4MX~jcAMtZ#?sTWd+y$8sA_0)=abHiv&+u(5P z78zkc=38E>ly_q47)ck_BxxxkI)guK4=h!tYrmJtJhm|pfw(-WNSIN*{u%}5lX;j$ jTOupVSo|zky6ATN!@sr_8>Jlm|Dvq_KllvzGxfg!V10}Z literal 0 HcmV?d00001 From df9a9b62e0c288713bb0dff0489886747b479861 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:45:07 +0530 Subject: [PATCH 29/35] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4d5d02c..21b545b 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ This repository contains the project **Computer Vision using Tensorflow** offere ## CNN Digit Classification Model -

+

## 3-Class Face Mask Detection Model From 0a271c7eebf488c4426f2544a020fd80f6033c6a Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:45:58 +0530 Subject: [PATCH 30/35] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 21b545b..6da9c88 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ This repository contains the project **Computer Vision using Tensorflow** offere ## CNN Digit Classification Model -

+

## 3-Class Face Mask Detection Model From 5d1c10d474e98b50ccb0dcdd0a9d05f7e6e5c948 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:46:27 +0530 Subject: [PATCH 31/35] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6da9c88..fedabfb 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ This repository contains the project **Computer Vision using Tensorflow** offere ## CNN Digit Classification Model -

+

## 3-Class Face Mask Detection Model From 4722ea59096ea3cc9fad117cdeeb8be6087412d0 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:46:47 +0530 Subject: [PATCH 32/35] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index fedabfb..aac6a17 100644 --- a/README.md +++ b/README.md @@ -6,6 +6,7 @@ This repository contains the project **Computer Vision using Tensorflow** offere

## 3-Class Face Mask Detection Model +

## Mentors: [Aryan Vora](https://github.com/aryan-vora23) From 40ab820626834b37e2f5f067fd7e3dc482c326fa Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:48:35 +0530 Subject: [PATCH 33/35] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index aac6a17..7046483 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ This repository contains the project **Computer Vision using Tensorflow** offere ## CNN Digit Classification Model -

+![CNN](https://github.com/kshitijk20/ICG-Computer-Vision-using-Tensorflow/blob/main/Images/1.jpg) ## 3-Class Face Mask Detection Model

From 554751982f0a49f7ab2aa60e14e8667355233805 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:49:05 +0530 Subject: [PATCH 34/35] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7046483..9a7db4d 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ This repository contains the project **Computer Vision using Tensorflow** offere ![CNN](https://github.com/kshitijk20/ICG-Computer-Vision-using-Tensorflow/blob/main/Images/1.jpg) ## 3-Class Face Mask Detection Model -

+![Face Mask](https://github.com/kshitijk20/ICG-Computer-Vision-using-Tensorflow/blob/main/Images/2.jpg) ## Mentors: [Aryan Vora](https://github.com/aryan-vora23) From 356f5f00ebcdf6e3981a5682671aa59ee3d6ca17 Mon Sep 17 00:00:00 2001 From: KSHITIJ KAITHAL <74928228+kshitijk20@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:50:34 +0530 Subject: [PATCH 35/35] Delete all.md --- Images/all.md | 1 - 1 file changed, 1 deletion(-) delete mode 100644 Images/all.md diff --git a/Images/all.md b/Images/all.md deleted file mode 100644 index 7cfab5b..0000000 --- a/Images/all.md +++ /dev/null @@ -1 +0,0 @@ -yes